Challenge

Week-11 Challenge: Braking

Q1.For a defined driving cycle, calculate the energy required for braking.

Ans:-

The special feature of electric vehicles and hybrid vehicles is their ability to absorb, store and reuse the braking energy. A successfully designed braking system for a vehicle must always meet two distinct demands. While applying the sudden brake, the vehicle must come to rest in the shortest possible distance and at the same time, the vehicle must have control over the vehicle’s direction. The first one requires that the vehicle braking system be able to provide enough braking torque on all wheels. The second demand requires braking force to be distributed on all the wheels equally.

Here, the braking torque required is much larger than the torque that an electric motor can produce. So in order to bring the two demands success in EV and HEVs, both the mechanical braking system and electrical braking system should consider as major roles.

BRAKING :-

Braking is a process which applies energy to decrease the speed of a moving vehicle.When brake is applied in a moving vehicle the kinetic enegy possed by the moving vehicle get opposed by various factor like , air drag , rolling resistance etc , but it takes a lot time and much distance to come to rest which is not a practical scenario. So to stop the moving vehicle with lesser time braking is used which is opposit pheomena to accleration.In braking care the kinetic energy is converted either in the form of heat or we can use to recharge the battery back in case of EV & HEV application. It includes rapid stopping of the electric motor, holding the stopping of the electric motor, holding the motor shaft to a specific position, maintaining the speed to the desired value, or preventing the motor from overspeeding.

A regenerative braking system is the electrical braking of a vehicle using motors as brakes. The total kinetic energy which is to be utilized by the wheels travel a certain distance was being stopped by for some reason by the braking system then the accumulated energy near the power train is directed to travel back to the energy storage through the motor. So here the motor acts like a generator that stores mechanical energy into electrical energy in the battery. This stored energy can be reused by the electric motor for vehicle propulsion. This regenerative system improves motor efficiency by simply converting kinetic energy into electrical energy which is to be generated as heat energy during frictional braking.

Ex:-

If a 1500kg vehicle traveling at 70km/h has 300kJ of kinetic energy, which drops to zero as the vehicle comes to rest. If we can utilize this recovered it would be enough to propel the same vehicle for 1.8km at 70km/h.

This will significantly recover energy which leads to increased vehicle range.

Whenever a force is applied to a vehicle's brakes, there is work done due to the friction between the brakes and the wheel. This reduces the vehicle's kinetic energy, slowing it down and causing the temperature of the brakes to increase.

Decelerating from very high speeds too quickly can cause several problems:

  • The brakes could overheat and the material they are made from could shatter. This will lead to the driver losing control.
  • Very high temperatures near the tires could cause the tires to explode. This will lead to the driver losing control.
  • A high deceleration needs a high force (Newton's second law), and these high forces can seriously injure the driver.

Calculation of Braking Energy:

The energy required for braking can be calculated using Newton's second law. Let's assume a drive cycle, FTP 75 with a total gross weight of 1000 kg.

The acceleration/deceleration of the car is given by:

Deceleration = Change in velocity / time

= (Final velocity - Initial velocity) / time

The Braking energy is =1/2(m.v^2) joules

Fig: UDDS Driving Schedule

UDDS Driving Cycle

Time (Secs)

Velocity (mph)

Braking Energy Required (J)

Braking Energy (kWh)

0

0

0

0

1

0

0

0

2

0

0

0

3

0

0

0

4

0

0

0

5

0

0

0

6

0

0

0

7

0

0

0

8

0

0

0

9

0

0

0

10

0

0

0

11

0

0

0

12

0

0

0

13

0

0

0

14

0

0

0

15

0

0

0

16

0

0

0

17

0

0

0

18

0

0

0

19

0

0

0

20

0

0

0

21

3

2011.5

0.00055875

22

5.9

7780.035

0.002161123

23

8.6

16530.06

0.004591687

24

11.5

29557.88

0.008210527

25

14.3

45703.52

0.012695431

26

16.9

63833.84

0.017731635

27

17.3

66891.32

0.018580936

28

18.1

73220.84

0.020339137

29

20.7

95767.52

0.026602109

30

21.7

105243.9

0.029234444

31

22.4

112143.4

0.031150958

32

22.5

113146.9

0.031429713

33

22.1

109159.6

0.030322145

34

21.5

103312.9

0.028698044

35

20.9

97627.04

0.027118643

36

20.4

93011.76

0.025836621

37

19.8

87620.94

0.024339169

38

17

64591.5

0.017942098

39

14.9

49619.24

0.013783132

40

14.9

49619.24

0.013783132

41

15.2

51637.44

0.014343745

42

15.5

53695.88

0.014915533

43

16

57216

0.015893346

44

17.1

65353.64

0.018153802

45

19.1

81535.04

0.022648639

46

21.1

99504.44

0.027640143

47

22.7

115167.3

0.031990946

48

22.9

117205.6

0.032557147

49

22.7

115167.3

0.031990946

50

22.6

114154.9

0.031709709

51

21.3

101399.7

0.02816661

52

19

80683.5

0.022412101

53

17.1

65353.64

0.018153802

54

15.8

55794.54

0.015498496

55

15.8

55794.54

0.015498496

56

17.7

70020.32

0.019450103

57

19.8

87620.94

0.024339169

58

21.6

104276.2

0.028965623

59

23.2

120296.6

0.03341576

60

24.2

130890.5

0.036358512

61

24.6

135253.3

0.03757038

62

24.9

138572.2

0.038492318

63

25

139687.5

0.038802114

64

24.6

135253.3

0.03757038

65

24.5

134155.9

0.037265551

66

24.7

136355.1

0.037876451

67

24.8

137461.4

0.038183764

68

24.7

136355.1

0.037876451

69

24.6

135253.3

0.03757038

70

24.6

135253.3

0.03757038

71

25.1

140807.2

0.039113152

72

25.6

146473

0.040686966

73

25.7

147619.5

0.041005454

74

25.4

144193.3

0.040053715

75

24.9

138572.2

0.038492318

76

25

139687.5

0.038802114

77

25.4

144193.3

0.040053715

78

26

151086

0.041968367

79

26

151086

0.041968367

80

25.7

147619.5

0.041005454

81

26.1

152250.4

0.042291821

82

26.7

159330.9

0.044258623

83

27.5

169021.9

0.046950558

84

28.6

182814.1

0.050781724

85

29.3

191872.5

0.053297963

86

29.8

198476.9

0.055132527

87

30.1

202493.2

0.056248166

88

30.4

206549.8

0.057374979

89

30.7

210646.5

0.058512968

90

30.7

210646.5

0.058512968

91

30.5

207910.9

0.057753067

92

30.4

206549.8

0.057374979

93

30.3

205193.1

0.056998133

94

30.4

206549.8

0.057374979

95

30.8

212021

0.05889478

96

30.4

206549.8

0.057374979

97

29.9

199811.2

0.055503165

98

29.5

194500.9

0.054028064

99

29.8

198476.9

0.055132527

100

30.3

205193.1

0.056998133

101

30.7

210646.5

0.058512968

102

30.9

213400

0.059277835

103

31

214783.5

0.059662131

104

30.9

213400

0.059277835

105

30.4

206549.8

0.057374979

106

29.8

198476.9

0.055132527

107

29.9

199811.2

0.055503165

108

30.2

203840.9

0.056622529

109

30.7

210646.5

0.058512968

110

31.2

217563.8

0.060434448

111

31.8

226012.1

0.0627812

112

32.2

231733.7

0.064370535

113

32.4

234621.4

0.065172652

114

32.2

231733.7

0.064370535

115

31.7

224592.9

0.062386971

116

28.6

182814.1

0.050781724

117

25.3

143060.1

0.039738953

118

22

108174

0.030048357

119

18.7

78155.72

0.021709938

120

15.4

53005.26

0.014723695

121

12.1

32722.64

0.009089628

122

8.8

17307.84

0.004807737

123

5.5

6760.875

0.001878022

124

2.2

1081.74

0.000300484

125

0

0

0

126

0

0

0

127

0

0

0

128

0

0

0

129

0

0

0

130

0

0

0

131

0

0

0

132

0

0

0

133

0

0

0

134

0

0

0

135

0

0

0

136

0

0

0

137

0

0

0

138

0

0

0

139

0

0

0

140

0

0

0

141

0

0

0

142

0

0

0

143

0

0

0

144

0

0

0

145

0

0

0

146

0

0

0

147

0

0

0

148

0

0

0

149

0

0

0

150

0

0

0

151

0

0

0

152

0

0

0

153

0

0

0

154

0

0

0

155

0

0

0

156

0

0

0

157

0

0

0

158

0

0

0

159

0

0

0

160

0

0

0

161

0

0

0

162

0

0

0

163

0

0

0

164

3.3

2433.915

0.000676088

165

6.6

9735.66

0.002704352

166

9.9

21905.24

0.006084792

167

13.2

38942.64

0.010817409

168

16.5

60847.88

0.016902201

169

19.8

87620.94

0.024339169

170

22.2

110149.7

0.030597174

171

24.3

131974.5

0.036659617

172

25.8

148770.5

0.041325183

173

26.4

155770.6

0.043269635

174

25.7

147619.5

0.041005454

175

25.1

140807.2

0.039113152

176

24.7

136355.1

0.037876451

177

25

139687.5

0.038802114

178

25.2

141931.4

0.039425432

179

25.4

144193.3

0.040053715

180

25.8

148770.5

0.041325183

181

27.2

165354.2

0.04593177

182

26.5

156952.9

0.043598056

183

24

128736

0.035760029

184

22.7

115167.3

0.031990946

185

19.4

84116.46

0.023365702

186

17.7

70020.32

0.019450103

187

17.2

66120.24

0.018366748

188

18.1

73220.84

0.020339137

189

18.6

77322.06

0.021478367

190

20

89400

0.024833353

191

22.2

110149.7

0.030597174

192

24.5

134155.9

0.037265551

193

27.3

166572.3

0.046270125

194

30.5

207910.9

0.057753067

195

33.5

250822.9

0.069673077

196

36.2

292883.3

0.081356548

197

37.3

310953.3

0.08637599

198

39.3

345193.5

0.095887164

199

40.5

366595.9

0.101832269

200

42.1

396133.6

0.110037209

201

43.5

422917.9

0.117477281

202

45.1

454601.2

0.126278222

203

46

472926

0.131368438

204

46.8

489518.6

0.135977509

205

47.5

504271.9

0.140075633

206

47.5

504271.9

0.140075633

207

47.3

500034.3

0.138898532

208

47.2

497922.2

0.138311844

209

47

493711.5

0.137142193

210

47

493711.5

0.137142193

211

47

493711.5

0.137142193

212

47

493711.5

0.137142193

213

47

493711.5

0.137142193

214

47.2

497922.2

0.138311844

215

47.4

502150.9

0.139486462

216

47.9

512800.6

0.142444735

217

48.5

525727.9

0.146035638

218

49.1

538816

0.149671241

219

49.5

547630.9

0.152119809

220

50

558750

0.155208458

221

50.6

572240.5

0.15895581

222

51

581323.5

0.161478879

223

51.5

592777.9

0.164660653

224

52.2

609001.7

0.169167285

225

53.2

632558.6

0.175710874

226

54.1

654142

0.181706266

227

54.6

666289.3

0.185080498

228

54.9

673631.2

0.187119937

229

55

676087.5

0.187802234

230

54.9

673631.2

0.187119937

231

54.6

666289.3

0.185080498

232

54.6

666289.3

0.185080498

233

54.8

671179.4

0.186438882

234

55.1

678548.2

0.188485772

235

55.5

688435.9

0.19123234

236

55.7

693406.5

0.192613075

237

56.1

703401.4

0.195389444

238

56.3

708425.7

0.196785078

239

56.6

715995.7

0.198887842

240

56.7

718527.9

0.199591247

241

56.7

718527.9

0.199591247

242

56.5

713467.9

0.198185679

243

56.5

713467.9

0.198185679

244

56.5

713467.9

0.198185679

245

56.5

713467.9

0.198185679

246

56.5

713467.9

0.198185679

247

56.5

713467.9

0.198185679

248

56.4

710944.6

0.197484758

249

56.1

703401.4

0.195389444

250

55.8

695898.5

0.193305305

251

55.1

678548.2

0.188485772

252

54.6

666289.3

0.185080498

253

54.2

656562.5

0.182378629

254

54

651726

0.181035145

255

53.7

644504.7

0.179029231

256

53.6

642106.6

0.178363076

257

53.9

649314.4

0.180365265

258

54

651726

0.181035145

259

54.1

654142

0.181706266

260

54.1

654142

0.181706266

261

53.8

646907.3

0.179696627

262

53.4

637323.7

0.177034492

263

53

627811.5

0.174392223

264

52.6

618370.9

0.171769821

265

52.1

606670.6

0.168519756

266

52.4

613677.4

0.17046607

267

52

604344

0.167873468

268

51.9

602021.8

0.167228421

269

51.7

597390.9

0.165942054

270

51.5

592777.9

0.164660653

271

51.6

595082.2

0.165300732

272

51.8

599704.1

0.166584617

273

52.1

606670.6

0.168519756

274

52.5

616021.9

0.171117324

275

53

627811.5

0.174392223

276

53.5

639712.9

0.177698163

277

54

651726

0.181035145

278

54.9

673631.2

0.187119937

279

55.4

685957.3

0.190543836

280

55.6

690919

0.191922087

281

56

700896

0.194693489

282

56

700896

0.194693489

283

55.8

695898.5

0.193305305

284

55.2

681013.4

0.189170551

285

54.5

663850.9

0.184403168

286

53.6

642106.6

0.178363076

287

52.5

616021.9

0.171117324

288

51.5

592777.9

0.164660653

289

51.5

592777.9

0.164660653

290

51.5

592777.9

0.164660653

291

51.1

583605.4

0.162112751

292

50.1

560987.2

0.155829912

293

50

558750

0.155208458

294

50.1

560987.2

0.155829912

295

50

558750

0.155208458

296

49.6

549845.8

0.152735056

297

49.5

547630.9

0.152119809

298

49.5

547630.9

0.152119809

299

49.5

547630.9

0.152119809

300

49.1

538816

0.149671241

301

48.6

527898.1

0.146638467

302

48.1

517091.8

0.143636736

303

47.2

497922.2

0.138311844

304

46.1

474984.4

0.131940226

305

45

452587.5

0.125718851

306

43.8

428771.3

0.119103245

307

42.6

405598.9

0.11266644

308

41.5

384922.9

0.106923106

309

40.3

362984.1

0.100829001

310

38.5

331282.9

0.092023094

311

37

305971.5

0.084992151

312

35.2

276925.4

0.076923795

313

33.8

255335.3

0.07092654

314

32.5

236071.9

0.065575573

315

31.5

221767.9

0.061602237

316

30.6

209276.5

0.058132397

317

30.5

207910.9

0.057753067

318

30

201150

0.055875045

319

29

187963.5

0.052212125

320

27.5

169021.9

0.046950558

321

24.8

137461.4

0.038183764

322

21.5

103312.9

0.028698044

323

20.1

90296.24

0.025082308

324

19.1

81535.04

0.022648639

325

18.5

76492.88

0.021248038

326

17

64591.5

0.017942098

327

15.5

53695.88

0.014915533

328

12.5

34921.88

0.009700529

329

10.8

26069.04

0.007241406

330

8

14304

0.003973337

331

4.7

4937.115

0.001371422

332

1.4

438.06

0.000121683

333

0

0

0

334

0

0

0

335

0

0

0

336

0

0

0

337

0

0

0

338

0

0

0

339

0

0

0

340

0

0

0

341

0

0

0

342

0

0

0

343

0

0

0

344

0

0

0

345

0

0

0

346

0

0

0

347

1

223.5

6.20834E-05

348

4.3

4132.515

0.001147922

349

7.6

12909.36

0.003585936

350

10.9

26554.04

0.007376127

351

14.2

45066.54

0.012518493

352

17.3

66891.32

0.018580936

353

20

89400

0.024833353

354

22.5

113146.9

0.031429713

355

23.7

125537.7

0.034871615

356

25.2

141931.4

0.039425432

357

26.6

158139.7

0.043927718

358

28.1

176477.8

0.04902166

359

30

201150

0.055875045

360

30.8

212021

0.05889478

361

31.6

223178.2

0.061993983

362

32.1

230296.6

0.063971339

363

32.8

240450.2

0.066791787

364

33.6

252322.6

0.070089656

365

34.5

266020.9

0.073894747

366

34.6

267565.3

0.074323743

367

34.9

272225.2

0.075618181

368

34.8

270667.4

0.07518546

369

34.5

266020.9

0.073894747

370

34.7

269114.1

0.074753981

371

35.5

281665.9

0.078240583

372

36

289656

0.080460064

373

36

289656

0.080460064

374

36

289656

0.080460064

375

36

289656

0.080460064

376

36

289656

0.080460064

377

36

289656

0.080460064

378

36.1

291267.4

0.080907686

379

36.4

296128.6

0.082257999

380

36.5

297757.9

0.082710587

381

36.4

296128.6

0.082257999

382

36

289656

0.080460064

383

35.1

275354.2

0.076487349

384

34.1

259888

0.072191179

385

33.5

250822.9

0.069673077

386

31.4

220362.1

0.061211732

387

29

187963.5

0.052212125

388

25.7

147619.5

0.041005454

389

23

118231.5

0.03284211

390

20.3

92102.12

0.025583941

391

17.5

68446.88

0.019013036

392

14.5

46990.88

0.013053031

393

12

32184

0.008940007

394

8.7

16916.72

0.004699091

395

5.4

6517.26

0.001810351

396

2.1

985.635

0.000273788

397

0

0

0

398

0

0

0

399

0

0

0

400

0

0

0

401

0

0

0

402

0

0

0

403

2.6

1510.86

0.000419684

404

5.9

7780.035

0.002161123

405

9.2

18917.04

0.005254738

406

12.5

34921.88

0.009700529

407

15.8

55794.54

0.015498496

408

19.1

81535.04

0.022648639

409

22.4

112143.4

0.031150958

410

25

139687.5

0.038802114

411

25.6

146473

0.040686966

412

27.5

169021.9

0.046950558

413

29

187963.5

0.052212125

414

30

201150

0.055875045

415

30.1

202493.2

0.056248166

416

30

201150

0.055875045

417

29.7

197147.1

0.054763131

418

29.3

191872.5

0.053297963

419

28.8

185379.8

0.051494441

420

28

175224

0.048673372

421

25

139687.5

0.038802114

422

21.7

105243.9

0.029234444

423

18.4

75668.16

0.02101895

424

15.1

50960.24

0.014155632

425

11.8

31120.14

0.00864449

426

8.5

16147.88

0.004485524

427

5.2

6043.44

0.001678735

428

1.9

806.835

0.000224121

429

0

0

0

430

0

0

0

431

0

0

0

432

0

0

0

433

0

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434

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0

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438

0

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439

0

0

0

440

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0

441

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0

0

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0

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443

0

0

0

444

0

0

0

445

0

0

0

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0

0

0

447

0

0

0

448

3.3

2433.915

0.000676088

449

6.6

9735.66

0.002704352

450

9.9

21905.24

0.006084792

451

13.2

38942.64

0.010817409

452

16.5

60847.88

0.016902201

453

19.8

87620.94

0.024339169

454

23.1

119261.8

0.033128314

455

26.4

155770.6

0.043269635

456

27.8

172729.7

0.047980522

457

29.1

189262

0.05257283

458

31.5

221767.9

0.061602237

459

33

243391.5

0.067608804

460

33.6

252322.6

0.070089656

461

34.8

270667.4

0.07518546

462

35.1

275354.2

0.076487349

463

35.6

283255

0.078681996

464

36.1

291267.4

0.080907686

465

36

289656

0.080460064

466

36.1

291267.4

0.080907686

467

36.2

292883.3

0.081356548

468

36

289656

0.080460064

469

35.7

284848.5

0.079124651

470

36

289656

0.080460064

471

36

289656

0.080460064

472

35.6

283255

0.078681996

473

35.5

281665.9

0.078240583

474

35.4

280081.3

0.077800412

475

35.2

276925.4

0.076923795

476

35.2

276925.4

0.076923795

477

35.2

276925.4

0.076923795

478

35.2

276925.4

0.076923795

479

35.2

276925.4

0.076923795

480

35.2

276925.4

0.076923795

481

35

273787.5

0.076052144

482

35.1

275354.2

0.076487349

483

35.2

276925.4

0.076923795

484

35.5

281665.9

0.078240583

485

35.2

276925.4

0.076923795

486

35

273787.5

0.076052144

487

35

273787.5

0.076052144

488

35

273787.5

0.076052144

489

34.8

270667.4

0.07518546

490

34.6

267565.3

0.074323743

491

34.5

266020.9

0.073894747

492

33.5

250822.9

0.069673077

493

32

228864

0.063573384

494

30.1

202493.2

0.056248166

495

28

175224

0.048673372

496

25.5

145330.9

0.04036972

497

22.5

113146.9

0.031429713

498

19.8

87620.94

0.024339169

499

16.5

60847.88

0.016902201

500

13.2

38942.64

0.010817409

501

10.3

23711.12

0.006586426

502

7.2

11586.24

0.003218403

503

4

3576

0.000993334

504

1

223.5

6.20834E-05

505

0

0

0

506

0

0

0

507

0

0

0

508

0

0

0

509

0

0

0

510

0

0

0

511

1.2

321.84

8.94001E-05

512

3.5

2737.875

0.000760521

513

5.5

6760.875

0.001878022

514

6.5

9442.875

0.002623023

515

8.5

16147.88

0.004485524

516

9.6

20597.76

0.005721605

517

10.5

24640.88

0.006844693

518

11.9

31649.84

0.008791628

519

14

43806

0.012168343

520

16

57216

0.015893346

521

17.7

70020.32

0.019450103

522

19

80683.5

0.022412101

523

20.1

90296.24

0.025082308

524

21

98563.5

0.027378772

525

22

108174

0.030048357

526

23

118231.5

0.03284211

527

23.8

126599.3

0.035166511

528

24.5

134155.9

0.037265551

529

24.9

138572.2

0.038492318

530

25

139687.5

0.038802114

531

25

139687.5

0.038802114

532

25

139687.5

0.038802114

533

25

139687.5

0.038802114

534

25

139687.5

0.038802114

535

25

139687.5

0.038802114

536

25.6

146473

0.040686966

537

25.8

148770.5

0.041325183

538

26

151086

0.041968367

539

25.6

146473

0.040686966

540

25.2

141931.4

0.039425432

541

25

139687.5

0.038802114

542

25

139687.5

0.038802114

543

25

139687.5

0.038802114

544

24.4

133063

0.036961963

545

23.1

119261.8

0.033128314

546

19.8

87620.94

0.024339169

547

16.5

60847.88

0.016902201

548

13.2

38942.64

0.010817409

549

9.9

21905.24

0.006084792

550

6.6

9735.66

0.002704352

551

3.3

2433.915

0.000676088

552

0

0

0

553

0

0

0

554

0

0

0

555

0

0

0

556

0

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557

0

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558

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559

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560

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561

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562

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563

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564

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565

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566

0

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567

0

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0

568

0

0

0

569

3.3

2433.915

0.000676088

570

6.6

9735.66

0.002704352

571

9.9

21905.24

0.006084792

572

13

37771.5

0.010492092

573

14.6

47641.26

0.013233694

574

16

57216

0.015893346

575

17

64591.5

0.017942098

576

17

64591.5

0.017942098

577

17

64591.5

0.017942098

578

17.5

68446.88

0.019013036

579

17.7

70020.32

0.019450103

580

17.7

70020.32

0.019450103

581

17.5

68446.88

0.019013036

582

17

64591.5

0.017942098

583

16.9

63833.84

0.017731635

584

16.6

61587.66

0.017107697

585

17

64591.5

0.017942098

586

17.1

65353.64

0.018153802

587

17

64591.5

0.017942098

588

16.6

61587.66

0.017107697

589

16.5

60847.88

0.016902201

590

16.5

60847.88

0.016902201

591

16.6

61587.66

0.017107697

592

17

64591.5

0.017942098

593

17.6

69231.36

0.019230949

594

18.5

76492.88

0.021248038

595

19.2

82391.04

0.022886418

596

20.2

91196.94

0.025332504

597

21

98563.5

0.027378772

598

21.1

99504.44

0.027640143

599

21.2

100449.8

0.027902756

600

21.6

104276.2

0.028965623

601

22

108174

0.030048357

602

22.4

112143.4

0.031150958

603

22.5

113146.9

0.031429713

604

22.5

113146.9

0.031429713

605

22.5

113146.9

0.031429713

606

22.7

115167.3

0.031990946

607

23.7

125537.7

0.034871615

608

25.1

140807.2

0.039113152

609

26

151086

0.041968367

610

26.5

156952.9

0.043598056

611

27

162931.5

0.045258786

612

26.1

152250.4

0.042291821

613

22.8

116184.2

0.032273426

614

19.5

84985.88

0.023607206

615

16.2

58655.34

0.016293163

616

12.9

37192.64

0.010331296

617

9.6

20597.76

0.005721605

618

6.3

8870.715

0.002464089

619

3

2011.5

0.00055875

620

0

0

0

621

0

0

0

622

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0

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623

0

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624

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0

645

0

0

0

646

2

894

0.000248334

647

4.5

4525.875

0.001257189

648

7.8

13597.74

0.003777153

649

10.2

23252.94

0.006459155

650

12.5

34921.88

0.009700529

651

14

43806

0.012168343

652

15.3

52319.12

0.014533099

653

17.5

68446.88

0.019013036

654

19.6

85859.76

0.023849952

655

21

98563.5

0.027378772

656

22.2

110149.7

0.030597174

657

23.3

121335.9

0.033704448

658

24.5

134155.9

0.037265551

659

25.3

143060.1

0.039738953

660

25.6

146473

0.040686966

661

26

151086

0.041968367

662

26.1

152250.4

0.042291821

663

26.2

153419.3

0.042616517

664

26.2

153419.3

0.042616517

665

26.4

155770.6

0.043269635

666

26.5

156952.9

0.043598056

667

26.5

156952.9

0.043598056

668

26

151086

0.041968367

669

25.5

145330.9

0.04036972

670

23.6

124480.6

0.034577961

671

21.4

102354.1

0.028431706

672

18.5

76492.88

0.021248038

673

16.4

60112.56

0.016697947

674

14.5

46990.88

0.013053031

675

11.6

30074.16

0.00835394

676

8.7

16916.72

0.004699091

677

5.8

7518.54

0.002088485

678

3.5

2737.875

0.000760521

679

2

894

0.000248334

680

0

0

0

681

0

0

0

682

0

0

0

683

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684

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685

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690

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691

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692

0

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0

693

0

0

0

694

1.4

438.06

0.000121683

695

3.3

2433.915

0.000676088

696

4.4

4326.96

0.001201934

697

6.5

9442.875

0.002623023

698

9.2

18917.04

0.005254738

699

11.3

28538.72

0.007927427

700

13.5

40732.88

0.011314697

701

14.6

47641.26

0.013233694

702

16.4

60112.56

0.016697947

703

16.7

62331.92

0.017314435

704

16.5

60847.88

0.016902201

705

16.5

60847.88

0.016902201

706

18.2

74032.14

0.0205645

707

19.2

82391.04

0.022886418

708

20.1

90296.24

0.025082308

709

21.5

103312.9

0.028698044

710

22.5

113146.9

0.031429713

711

22.5

113146.9

0.031429713

712

22.1

109159.6

0.030322145

713

22.7

115167.3

0.031990946

714

23.3

121335.9

0.033704448

715

23.5

123427.9

0.034285548

716

22.5

113146.9

0.031429713

717

21.6

104276.2

0.028965623

718

20.5

93925.88

0.026090542

719

18

72414

0.020115016

720

15

50287.5

0.013968761

721

12

32184

0.008940007

722

9

18103.5

0.005028754

723

6.2

8591.34

0.002386485

724

4.5

4525.875

0.001257189

725

3

2011.5

0.00055875

726

2.1

985.635

0.000273788

727

0.5

55.875

1.55208E-05

728

0.5

55.875

1.55208E-05

729

3.2

2288.64

0.000635734

730

6.5

9442.875

0.002623023

731

9.6

20597.76

0.005721605

732

12.5

34921.88

0.009700529

733

14

43806

0.012168343

734

16

57216

0.015893346

735

18

72414

0.020115016

736

19.6

85859.76

0.023849952

737

21.5

103312.9

0.028698044

738

23.1

119261.8

0.033128314

739

24.5

134155.9

0.037265551

740

25.5

145330.9

0.04036972

741

26.5

156952.9

0.043598056

742

27.1

164140.6

0.045594657

743

27.6

170253.4

0.047292638

744

27.9

173974.6

0.048326326

745

28.3

178998.9

0.049721961

746

28.6

182814.1

0.050781724

747

28.6

182814.1

0.050781724

748

28.3

178998.9

0.049721961

749

28.2

177736.1

0.049371189

750

28

175224

0.048673372

751

27.5

169021.9

0.046950558

752

26.8

160526.6

0.044590769

753

25.5

145330.9

0.04036972

754

23.5

123427.9

0.034285548

755

21.5

103312.9

0.028698044

756

19

80683.5

0.022412101

757

16.5

60847.88

0.016902201

758

14.9

49619.24

0.013783132

759

12.5

34921.88

0.009700529

760

9.4

19748.46

0.005485688

761

6.2

8591.34

0.002386485

762

3

2011.5

0.00055875

763

1.5

502.875

0.000139688

764

1.5

502.875

0.000139688

765

0.5

55.875

1.55208E-05

766

0

0

0

767

3

2011.5

0.00055875

768

6.3

8870.715

0.002464089

769

9.6

20597.76

0.005721605

770

12.9

37192.64

0.010331296

771

15.8

55794.54

0.015498496

772

17.5

68446.88

0.019013036

773

18.4

75668.16

0.02101895

774

19.5

84985.88

0.023607206

775

20.7

95767.52

0.026602109

776

22

108174

0.030048357

777

23.2

120296.6

0.03341576

778

25

139687.5

0.038802114

779

26.5

156952.9

0.043598056

780

27.5

169021.9

0.046950558

781

28

175224

0.048673372

782

28.3

178998.9

0.049721961

783

28.9

186669.4

0.051852662

784

28.9

186669.4

0.051852662

785

28.9

186669.4

0.051852662

786

28.8

185379.8

0.051494441

787

28.5

181537.9

0.050427228

788

28.3

178998.9

0.049721961

789

28.3

178998.9

0.049721961

790

28.3

178998.9

0.049721961

791

28.2

177736.1

0.049371189

792

27.6

170253.4

0.047292638

793

27.5

169021.9

0.046950558

794

27.5

169021.9

0.046950558

795

27.5

169021.9

0.046950558

796

27.5

169021.9

0.046950558

797

27.5

169021.9

0.046950558

798

27.5

169021.9

0.046950558

799

27.6

170253.4

0.047292638

800

28

175224

0.048673372

801

28.5

181537.9

0.050427228

802

30

201150

0.055875045

803

31

214783.5

0.059662131

804

32

228864

0.063573384

805

33

243391.5

0.067608804

806

33

243391.5

0.067608804

807

33.6

252322.6

0.070089656

808

34

258366

0.071768391

809

34.3

262945.5

0.073040479

810

34.2

261414.5

0.072615208

811

34

258366

0.071768391

812

34

258366

0.071768391

813

33.9

256848.4

0.071346845

814

33.6

252322.6

0.070089656

815

33.1

244868.8

0.068019175

816

33

243391.5

0.067608804

817

32.5

236071.9

0.065575573

818

32

228864

0.063573384

819

31.9

227435.8

0.063176671

820

31.6

223178.2

0.061993983

821

31.5

221767.9

0.061602237

822

30.6

209276.5

0.058132397

823

30

201150

0.055875045

824

29.9

199811.2

0.055503165

825

29.9

199811.2

0.055503165

826

29.9

199811.2

0.055503165

827

29.9

199811.2

0.055503165

828

29.6

195821.8

0.054394977

829

29.5

194500.9

0.054028064

830

29.5

194500.9

0.054028064

831

29.3

191872.5

0.053297963

832

28.9

186669.4

0.051852662

833

28.2

177736.1

0.049371189

834

27.7

171489.3

0.047635959

835

27

162931.5

0.045258786

836

25.5

145330.9

0.04036972

837

23.7

125537.7

0.034871615

838

22

108174

0.030048357

839

20.5

93925.88

0.026090542

840

19.2

82391.04

0.022886418

841

19.2

82391.04

0.022886418

842

20.1

90296.24

0.025082308

843

20.9

97627.04

0.027118643

844

21.4

102354.1

0.028431706

845

22

108174

0.030048357

846

22.6

114154.9

0.031709709

847

23.2

120296.6

0.03341576

848

24

128736

0.035760029

849

25

139687.5

0.038802114

850

26

151086

0.041968367

851

26.6

158139.7

0.043927718

852

26.6

158139.7

0.043927718

853

26.8

160526.6

0.044590769

854

27

162931.5

0.045258786

855

27.2

165354.2

0.04593177

856

27.8

172729.7

0.047980522

857

28.1

176477.8

0.04902166

858

28.8

185379.8

0.051494441

859

28.9

186669.4

0.051852662

860

29

187963.5

0.052212125

861

29.1

189262

0.05257283

862

29

187963.5

0.052212125

863

28.1

176477.8

0.04902166

864

27.5

169021.9

0.046950558

865

27

162931.5

0.045258786

866

25.8

148770.5

0.041325183

867

25

139687.5

0.038802114

868

24.5

134155.9

0.037265551

869

24.8

137461.4

0.038183764

870

25.1

140807.2

0.039113152

871

25.5

145330.9

0.04036972

872

25.7

147619.5

0.041005454

873

26.2

153419.3

0.042616517

874

26.9

161726.8

0.044924157

875

27.5

169021.9

0.046950558

876

27.8

172729.7

0.047980522

877

28.4

180266.2

0.050073973

878

29

187963.5

0.052212125

879

29.2

190565

0.052934776

880

29.1

189262

0.05257283

881

29

187963.5

0.052212125

882

28.9

186669.4

0.051852662

883

28.5

181537.9

0.050427228

884

28.1

176477.8

0.04902166

885

28

175224

0.048673372

886

28

175224

0.048673372

887

27.6

170253.4

0.047292638

888

27.2

165354.2

0.04593177

889

26.6

158139.7

0.043927718

890

27

162931.5

0.045258786

891

27.5

169021.9

0.046950558

892

27.8

172729.7

0.047980522

893

28

175224

0.048673372

894

27.8

172729.7

0.047980522

895

28

175224

0.048673372

896

28

175224

0.048673372

897

28

175224

0.048673372

898

27.7

171489.3

0.047635959

899

27.4

167794.9

0.046609721

900

26.9

161726.8

0.044924157

901

26.6

158139.7

0.043927718

902

26.5

156952.9

0.043598056

903

26.5

156952.9

0.043598056

904

26.5

156952.9

0.043598056

905

26.3

154592.7

0.042942455

906

26.2

153419.3

0.042616517

907

26.2

153419.3

0.042616517

908

25.9

149926

0.041646154

909

25.6

146473

0.040686966

910

25.6

146473

0.040686966

911

25.9

149926

0.041646154

912

25.8

148770.5

0.041325183

913

25.5

145330.9

0.04036972

914

24.6

135253.3

0.03757038

915

23.5

123427.9

0.034285548

916

22.2

110149.7

0.030597174

917

21.6

104276.2

0.028965623

918

21.6

104276.2

0.028965623

919

21.7

105243.9

0.029234444

920

22.6

114154.9

0.031709709

921

23.4

122379.7

0.033994377

922

24

128736

0.035760029

923

24.2

130890.5

0.036358512

924

24.4

133063

0.036961963

925

24.9

138572.2

0.038492318

926

25.1

140807.2

0.039113152

927

25.2

141931.4

0.039425432

928

25.3

143060.1

0.039738953

929

25.5

145330.9

0.04036972

930

25.2

141931.4

0.039425432

931

25

139687.5

0.038802114

932

25

139687.5

0.038802114

933

25

139687.5

0.038802114

934

24.7

136355.1

0.037876451

935

24.5

134155.9

0.037265551

936

24.3

131974.5

0.036659617

937

24.3

131974.5

0.036659617

938

24.5

134155.9

0.037265551

939

25

139687.5

0.038802114

940

25

139687.5

0.038802114

941

24.6

135253.3

0.03757038

942

24.6

135253.3

0.03757038

943

24.1

129811

0.03605865

944

24.5

134155.9

0.037265551

945

25.1

140807.2

0.039113152

946

25.6

146473

0.040686966

947

25.1

140807.2

0.039113152

948

24

128736

0.035760029

949

22

108174

0.030048357

950

20.1

90296.24

0.025082308

951

16.9

63833.84

0.017731635

952

13.6

41338.56

0.011482943

953

10.3

23711.12

0.006586426

954

7

10951.5

0.003042086

955

3.7

3059.715

0.000849922

956

0.4

35.76

9.93334E-06

957

0

0

0

958

0

0

0

959

0

0

0

960

2

894

0.000248334

961

5.3

6278.115

0.001743922

962

8.6

16530.06

0.004591687

963

11.9

31649.84

0.008791628

964

15.2

51637.44

0.014343745

965

17.5

68446.88

0.019013036

966

18.6

77322.06

0.021478367

967

20

89400

0.024833353

968

21.1

99504.44

0.027640143

969

22

108174

0.030048357

970

23

118231.5

0.03284211

971

24.5

134155.9

0.037265551

972

26.3

154592.7

0.042942455

973

27.5

169021.9

0.046950558

974

28.1

176477.8

0.04902166

975

28.4

180266.2

0.050073973

976

28.5

181537.9

0.050427228

977

28.5

181537.9

0.050427228

978

28.5

181537.9

0.050427228

979

27.7

171489.3

0.047635959

980

27.5

169021.9

0.046950558

981

27.2

165354.2

0.04593177

982

26.8

160526.6

0.044590769

983

26.5

156952.9

0.043598056

984

26

151086

0.041968367

985

25.7

147619.5

0.041005454

986

25.2

141931.4

0.039425432

987

24

128736

0.035760029

988

22

108174

0.030048357

989

21.5

103312.9

0.028698044

990

21.5

103312.9

0.028698044

991

21.8

106216.1

0.029504507

992

22.5

113146.9

0.031429713

993

23

118231.5

0.03284211

994

22.8

116184.2

0.032273426

995

22.8

116184.2

0.032273426

996

23

118231.5

0.03284211

997

22.7

115167.3

0.031990946

998

22.7

115167.3

0.031990946

999

22.7

115167.3

0.031990946

1000

23.5

123427.9

0.034285548

1001

24

128736

0.035760029

1002

24.6

135253.3

0.03757038

1003

24.8

137461.4

0.038183764

1004

25.1

140807.2

0.039113152

1005

25.5

145330.9

0.04036972

1006

25.6

146473

0.040686966

1007

25.5

145330.9

0.04036972

1008

25

139687.5

0.038802114

1009

24.1

129811

0.03605865

1010

23.7

125537.7

0.034871615

1011

23.2

120296.6

0.03341576

1012

22.9

117205.6

0.032557147

1013

22.5

113146.9

0.031429713

1014

22

108174

0.030048357

1015

21.6

104276.2

0.028965623

1016

20.5

93925.88

0.026090542

1017

17.5

68446.88

0.019013036

1018

14.2

45066.54

0.012518493

1019

10.9

26554.04

0.007376127

1020

7.6

12909.36

0.003585936

1021

4.3

4132.515

0.001147922

1022

1

223.5

6.20834E-05

1023

0

0

0

1024

0

0

0

1025

0

0

0

1026

0

0

0

1027

0

0

0

1028

0

0

0

1029

0

0

0

1030

0

0

0

1031

0

0

0

1032

0

0

0

1033

0

0

0

1034

0

0

0

1035

0

0

0

1036

0

0

0

1037

0

0

0

1038

0

0

0

1039

0

0

0

1040

0

0

0

1041

0

0

0

1042

0

0

0

1043

0

0

0

1044

0

0

0

1045

0

0

0

1046

0

0

0

1047

0

0

0

1048

0

0

0

1049

0

0

0

1050

0

0

0

1051

0

0

0

1052

0

0

0

1053

1.2

321.84

8.94001E-05

1054

4

3576

0.000993334

1055

7.3

11910.32

0.003308423

1056

10.6

25112.46

0.006975689

1057

13.9

43182.44

0.01199513

1058

17

64591.5

0.017942098

1059

18.5

76492.88

0.021248038

1060

20

89400

0.024833353

1061

21.8

106216.1

0.029504507

1062

23

118231.5

0.03284211

1063

24

128736

0.035760029

1064

24.8

137461.4

0.038183764

1065

25.6

146473

0.040686966

1066

26.5

156952.9

0.043598056

1067

26.8

160526.6

0.044590769

1068

27.4

167794.9

0.046609721

1069

27.9

173974.6

0.048326326

1070

28.3

178998.9

0.049721961

1071

28

175224

0.048673372

1072

27.5

169021.9

0.046950558

1073

27

162931.5

0.045258786

1074

27

162931.5

0.045258786

1075

26.3

154592.7

0.042942455

1076

24.5

134155.9

0.037265551

1077

22.5

113146.9

0.031429713

1078

21.5

103312.9

0.028698044

1079

20.6

94844.46

0.026345704

1080

18

72414

0.020115016

1081

15

50287.5

0.013968761

1082

12.3

33813.32

0.009392595

1083

11.1

27537.44

0.007649294

1084

10.6

25112.46

0.006975689

1085

10

22350

0.006208338

1086

9.5

20170.88

0.005603025

1087

9.1

18508.04

0.005141125

1088

8.7

16916.72

0.004699091

1089

8.6

16530.06

0.004591687

1090

8.8

17307.84

0.004807737

1091

9

18103.5

0.005028754

1092

8.7

16916.72

0.004699091

1093

8.6

16530.06

0.004591687

1094

8

14304

0.003973337

1095

7

10951.5

0.003042086

1096

5

5587.5

0.001552085

1097

4.2

3942.54

0.001095151

1098

2.6

1510.86

0.000419684

1099

1

223.5

6.20834E-05

1100

0

0

0

1101

0.1

2.235

6.20834E-07

1102

0.6

80.46

2.235E-05

1103

1.6

572.16

0.000158933

1104

3.6

2896.56

0.000804601

1105

6.9

10640.84

0.00295579

1106

10

22350

0.006208338

1107

12.8

36618.24

0.010171741

1108

14

43806

0.012168343

1109

14.5

46990.88

0.013053031

1110

16

57216

0.015893346

1111

18.1

73220.84

0.020339137

1112

20

89400

0.024833353

1113

21

98563.5

0.027378772

1114

21.2

100449.8

0.027902756

1115

21.3

101399.7

0.02816661

1116

21.4

102354.1

0.028431706

1117

21.7

105243.9

0.029234444

1118

22.5

113146.9

0.031429713

1119

23

118231.5

0.03284211

1120

23.8

126599.3

0.035166511

1121

24.5

134155.9

0.037265551

1122

25

139687.5

0.038802114

1123

24.9

138572.2

0.038492318

1124

24.8

137461.4

0.038183764

1125

25

139687.5

0.038802114

1126

25.4

144193.3

0.040053715

1127

25.8

148770.5

0.041325183

1128

26

151086

0.041968367

1129

26.4

155770.6

0.043269635

1130

26.6

158139.7

0.043927718

1131

26.9

161726.8

0.044924157

1132

27

162931.5

0.045258786

1133

27

162931.5

0.045258786

1134

27

162931.5

0.045258786

1135

26.9

161726.8

0.044924157

1136

26.8

160526.6

0.044590769

1137

26.8

160526.6

0.044590769

1138

26.5

156952.9

0.043598056

1139

26.4

155770.6

0.043269635

1140

26

151086

0.041968367

1141

25.5

145330.9

0.04036972

1142

24.6

135253.3

0.03757038

1143

23.5

123427.9

0.034285548

1144

21.5

103312.9

0.028698044

1145

20

89400

0.024833353

1146

17.5

68446.88

0.019013036

1147

16

57216

0.015893346

1148

14

43806

0.012168343

1149

10.7

25588.52

0.007107927

1150

7.4

12238.86

0.003399686

1151

4.1

3757.035

0.001043622

1152

0.8

143.04

3.97334E-05

1153

0

0

0

1154

0

0

0

1155

0

0

0

1156

0

0

0

1157

0

0

0

1158

0

0

0

1159

0

0

0

1160

0

0

0

1161

0

0

0

1162

0

0

0

1163

0

0

0

1164

0

0

0

1165

0

0

0

1166

0

0

0

1167

0

0

0

1168

0

0

0

1169

2.1

985.635

0.000273788

1170

5.4

6517.26

0.001810351

1171

8.7

16916.72

0.004699091

1172

12

32184

0.008940007

1173

15.3

52319.12

0.014533099

1174

18.6

77322.06

0.021478367

1175

21.1

99504.44

0.027640143

1176

23

118231.5

0.03284211

1177

23.5

123427.9

0.034285548

1178

23

118231.5

0.03284211

1179

22.5

113146.9

0.031429713

1180

20

89400

0.024833353

1181

16.7

62331.92

0.017314435

1182

13.4

40131.66

0.011147692

1183

10.1

22799.24

0.006333126

1184

6.8

10334.64

0.002870736

1185

3.5

2737.875

0.000760521

1186

0.2

8.94

2.48334E-06

1187

0

0

0

1188

0

0

0

1189

0

0

0

1190

0

0

0

1191

0

0

0

1192

0

0

0

1193

0

0

0

1194

0

0

0

1195

0

0

0

1196

0

0

0

1197

0.2

8.94

2.48334E-06

1198

1.5

502.875

0.000139688

1199

3.5

2737.875

0.000760521

1200

6.5

9442.875

0.002623023

1201

9.8

21464.94

0.005962488

1202

12

32184

0.008940007

1203

12.9

37192.64

0.010331296

1204

13

37771.5

0.010492092

1205

12.6

35482.86

0.009856358

1206

12.8

36618.24

0.010171741

1207

13.1

38354.84

0.010654129

1208

13.1

38354.84

0.010654129

1209

14

43806

0.012168343

1210

15.5

53695.88

0.014915533

1211

17

64591.5

0.017942098

1212

18.6

77322.06

0.021478367

1213

19.7

86738.12

0.02409394

1214

21

98563.5

0.027378772

1215

21.5

103312.9

0.028698044

1216

21.8

106216.1

0.029504507

1217

21.8

106216.1

0.029504507

1218

21.5

103312.9

0.028698044

1219

21.2

100449.8

0.027902756

1220

21.5

103312.9

0.028698044

1221

21.8

106216.1

0.029504507

1222

22

108174

0.030048357

1223

21.9

107192.8

0.029775811

1224

21.7

105243.9

0.029234444

1225

21.5

103312.9

0.028698044

1226

21.5

103312.9

0.028698044

1227

21.4

102354.1

0.028431706

1228

20.1

90296.24

0.025082308

1229

19.5

84985.88

0.023607206

1230

19.2

82391.04

0.022886418

1231

19.6

85859.76

0.023849952

1232

19.8

87620.94

0.024339169

1233

20

89400

0.024833353

1234

19.5

84985.88

0.023607206

1235

17.5

68446.88

0.019013036

1236

15.5

53695.88

0.014915533

1237

13

37771.5

0.010492092

1238

10

22350

0.006208338

1239

8

14304

0.003973337

1240

6

8046

0.002235002

1241

4

3576

0.000993334

1242

2.5

1396.875

0.000388021

1243

0.7

109.515

3.04209E-05

1244

0

0

0

1245

0

0

0

1246

0

0

0

1247

0

0

0

1248

0

0

0

1249

0

0

0

1250

0

0

0

1251

0

0

0

1252

1

223.5

6.20834E-05

1253

1

223.5

6.20834E-05

1254

1

223.5

6.20834E-05

1255

1

223.5

6.20834E-05

1256

1

223.5

6.20834E-05

1257

1.6

572.16

0.000158933

1258

3

2011.5

0.00055875

1259

4

3576

0.000993334

1260

5

5587.5

0.001552085

1261

6.3

8870.715

0.002464089

1262

8

14304

0.003973337

1263

10

22350

0.006208338

1264

10.5

24640.88

0.006844693

1265

9.5

20170.88

0.005603025

1266

8.5

16147.88

0.004485524

1267

7.6

12909.36

0.003585936

1268

8.8

17307.84

0.004807737

1269

11

27043.5

0.007512089

1270

14

43806

0.012168343

1271

17

64591.5

0.017942098

1272

19.5

84985.88

0.023607206

1273

21

98563.5

0.027378772

1274

21.8

106216.1

0.029504507

1275

22.2

110149.7

0.030597174

1276

23

118231.5

0.03284211

1277

23.6

124480.6

0.034577961

1278

24.1

129811

0.03605865

1279

24.5

134155.9

0.037265551

1280

24.5

134155.9

0.037265551

1281

24

128736

0.035760029

1282

23.5

123427.9

0.034285548

1283

23.5

123427.9

0.034285548

1284

23.5

123427.9

0.034285548

1285

23.5

123427.9

0.034285548

1286

23.5

123427.9

0.034285548

1287

23.5

123427.9

0.034285548

1288

24

128736

0.035760029

1289

24.1

129811

0.03605865

1290

24.5

134155.9

0.037265551

1291

24.7

136355.1

0.037876451

1292

25

139687.5

0.038802114

1293

25.4

144193.3

0.040053715

1294

25.6

146473

0.040686966

1295

25.7

147619.5

0.041005454

1296

26

151086

0.041968367

1297

26.2

153419.3

0.042616517

1298

27

162931.5

0.045258786

1299

27.8

172729.7

0.047980522

1300

28.3

178998.9

0.049721961

1301

29

187963.5

0.052212125

1302

29.1

189262

0.05257283

1303

29

187963.5

0.052212125

1304

28

175224

0.048673372

1305

24.7

136355.1

0.037876451

1306

21.4

102354.1

0.028431706

1307

18.1

73220.84

0.020339137

1308

14.8

48955.44

0.013598744

1309

11.5

29557.88

0.008210527

1310

8.2

15028.14

0.004174487

1311

4.9

5366.235

0.001490622

1312

1.6

572.16

0.000158933

1313

0

0

0

1314

0

0

0

1315

0

0

0

1316

0

0

0

1317

0

0

0

1318

0

0

0

1319

0

0

0

1320

0

0

0

1321

0

0

0

1322

0

0

0

1323

0

0

0

1324

0

0

0

1325

0

0

0

1326

0

0

0

1327

0

0

0

1328

0

0

0

1329

0

0

0

1330

0

0

0

1331

0

0

0

1332

0

0

0

1333

0

0

0

1334

0

0

0

1335

0

0

0

1336

0

0

0

1337

0

0

0

1338

1.5

502.875

0.000139688

1339

4.8

5149.44

0.001430401

1340

8.1

14663.84

0.004073291

1341

11.4

29046.06

0.008068356

1342

13.2

38942.64

0.010817409

1343

15.1

50960.24

0.014155632

1344

16.8

63080.64

0.017522414

1345

18.3

74847.92

0.020791104

1346

19.5

84985.88

0.023607206

1347

20.3

92102.12

0.025583941

1348

21.3

101399.7

0.02816661

1349

21.9

107192.8

0.029775811

1350

22.1

109159.6

0.030322145

1351

22.4

112143.4

0.031150958

1352

22

108174

0.030048357

1353

21.6

104276.2

0.028965623

1354

21.1

99504.44

0.027640143

1355

20.5

93925.88

0.026090542

1356

20

89400

0.024833353

1357

19.6

85859.76

0.023849952

1358

18.5

76492.88

0.021248038

1359

17.5

68446.88

0.019013036

1360

16.5

60847.88

0.016902201

1361

15.5

53695.88

0.014915533

1362

14

43806

0.012168343

1363

11

27043.5

0.007512089

1364

8

14304

0.003973337

1365

5.2

6043.44

0.001678735

1366

2.5

1396.875

0.000388021

1367

0

0

0

1368

0

0

0

1369

0

0

0

Total Braking Energy

50.95583

We have asssumed the gross vehicle weight is 1000kg.

The Brakingenergy can be converted into KWH when multiplied with a factor of 2.77778e-7.

Thus , the total energy consumed for braking is 50.95583 KWH.

Link for USSD Driving cycle Excel sheet:-

https://docs.google.com/spreadsheets/d/1aSQv1g06D4Gs1PhuQGcqSS_OuB0r2Veq/edit?usp=sharing&ouid=116831111479567673042&rtpof=true&sd=true

Q2:Why electric motor can’t develop braking torque at high speed similar to starting? How electric and mechanical brakes are coordinated?

Ans:- In case of EV & HEV electric motor con be experienced two type of braking , those are :

1.Mechanical Braking ,

2.Electrical Braking.

Mechanical Braking:-

Mechanical brakes all act by generating frictional forces as two surfaces rub against each other. The stopping power or capacity of a brake depends largely on the surface area of frictional surfaces as well as on the actuation force applied. The friction and wear encountered by the working surfaces are severe. Thus, the durability of a brake or service life between maintenance depends heavily on the type of material used to line the shoe or pad.

Mechanical brakes are assemblies consisting of mechanical elements for the slowing or stopping of shafts in equipment drives. They use levers or linkages to transmit force from one point to another. Braking slows or stops the movement of the coupled shafts.

There are several types of mechanical brakes like,

  • Drum Brake:-

A drum brake is a brake in which the friction is caused by a set of shoes or pads that press against a rotating drum-shaped part called a brake drum.

The term "drum brake" usually means a brake in which shoes press on the inner surface of the drum. When shoes press on the outside of the drum, it is usually called a clasp brake. Where the drum is pinched between two shoes, similar to a conventional disk brake, it is sometimes called a "pinch drum brake", although such brakes are relatively rare. A related type of brake uses a flexible belt or "band" wrapping around the outside of a drum, called a band brake. Fig:Drum Brake

  • Disk Brake:-

The disc brake is a device for slowing or stopping the rotation of a wheel while it is in motion. A brake disc is usually made of cast iron, but may in some cases be made of composites such as reinforced carbon-carbon or ceramic-matrix composites. This is connected to the wheel and/or the axle. To stop the wheel, friction material in the form of brake pads (mounted on a device called a brake caliper ) is forced hydraulically, pneumatically, or electromagnetically against both sides of the disc. Friction causes the disc and attached wheel to slow or stop. Brakes convert the motion to heat, and if the brakes get too hot, they become less effective, a phenomenon known as brake fade. Fig: Disc Brake

In case of HEV Special type of Braking technique are can be used for IC engines but not for Electric engine, Those are

Engine Braking:

A compression engine brake is a device that can convert a diesel engine into an air compressor, a power absorbing device. These devices are used in trucking applications to provide a means for retarding the vehicle, supplementing the normal vehicle braking system. The retarding operation is under full control of the vehicle operator and can be used simultaneously with the normal service brakes. Engine brakes can be installed at any time on a new or used vehicle for most applications.

By restricting airflow, When we lift off the accelerator, the throttle valve closes. That creates a vacuum in the intake manifold. The piston will now have to work against this vacuum to continue moving. That is engine braking.

Fig: Engine Braking

Exhaust Braking Mechanism:

An exhaust brake works by restricting the flow of exhaust gases through the engine Heavy goods vehicles can often require increased braking, in situations where friction brakes could overheat and fail. This is achieved by using an exhaust brake. It achieves this by closing a butterfly valve located in the exhaust manifold. This maintains high pressures in the exhaust manifold, and the engine cylinders, which in turn, act as a brake against the engine rotating. This then slows the road wheels through the transmission or power train.

Fig: Exhaust Braking Mechanism

Electrical Braking:-

Brakes are used to reduce or cease the speed of motors.

If the load is removed from an electric motor and supply to it be disconnected, it will continue to run for some time due to inertia. The time elapsing before it stops will be especially long if the motor is massive and has run at high speed.

It is essential, however, in many cases that the motor and its driven machine be stopped quickly (in machine tools, cranes, hoists, etc). In fact, quick stopping of a motor is more essential than quick starting. Delay in starting up a motor only causes the machinery to stand idle; a delay in stopping a motor may result in heavy damage to equipment or to the manufactured products and even the loss of human life.

We know that there are various types of motors available (DC motors, induction motors, synchronous motors, single-phase motors, etc.) and the specialty and properties of these motors are different from each other, hence these braking methods also differ from each other. But we can divide braking into three parts mainly, which are applicable for almost every type of motor.

  • Regenerative Braking.
  • Plugging type braking.
  • Dynamic braking.

Regenerative Braking:

Regenerative braking takes place whenever the speed of the motor exceeds the synchronous speed. This baking method is called regenerative baking because here the motor works as a generator and the supply itself is given power from the load, i.e. motors. The main criteria for regenerative braking is that the rotor has to rotate at a speed higher than synchronous speed, only then the motor will act as a generator and the direction of current flow through the circuit and direction of the torque reverses and braking takes place. The only disadvantage of this type of braking is that the motor has to run at a super synchronous speed which may damage the motor mechanically and electrically, but regenerative braking can be done at sub synchronous speed if the variable frequency source is available.

Fig: Structure of single-axle series regenerative braking system

Plugging Type Braking:

Another type of braking is Plugging type braking. In this method the terminals of supply are reversed, as a result of the generator torque also reverses which resists the normal rotation of the motor, and as a result, the speed decreases. During plugging external resistance is also introduced into the circuit to limit the flowing current. The main disadvantage of this method is that here power is wasted.

Dynamic Braking:

Another method of reversing the direction of torque and braking the motor is dynamic braking. In this method of braking the motor which is at a running condition is disconnected from the source and connected across a resistance. When the motor is disconnected from the source, the rotor keeps rotating due to inertia and it works as a self-excited generator. When the motor works as a generator the flow of the current and torque reverses. During braking to maintain the steady torque sectional resistances are cut out one by one.

Electric motor can't develop braking torque at high speed similar to starting because the Speed torque characteristics graph of the motor is shown below,

From the above graph, it is clearly shown in the first graph that till the motor reaches the critical speed it has constant torque and once it reaches the critical speed, the curve is having a downslope which is a constant power region. And this graph denotes the accelerating operation of the motor. For the deceleration or braking operation of the motor, this graph is mirrored down which will be having the speed (+ve) and torque (-ve).

For example,

we can say that an EV can achieve 0-100 kmph in 10 sec. Acceleration operation goes this way, with low speed and high torque constant torque region is achieved which has accelerating power and by reaching the critical speed it shifts to constant power region and thus it is easy for an EV to reach 0-100 kmph.

As said the braking operation graph will be the mirrored image of the above plot. So we cannot say that the motor producing 7 Nm torque for accelerating can also produce -7 Nm for braking. Because we are operating in the field weakening region and operating above the base speed. Thus Peak acceleration torque is greater than the peak deceleration torque. Thus for acceleration, it has a high torque with low speed and for deceleration, it has low torque with high speed.

Coordination of electric and mechanical braking:

There are two types of brake control strategies that are used to coordinate the electrical brake and mechanical.

  1. Series control strategies
  2. Parallel control strategies

The comparison of the control strategies is shown in the below figure.

From the above figure, we can clearly see that according to the amount of the brake pedal travel of the vehicle, the mechanical brakes and regenerative brake are applied.

  1. Series control strategies:

When the brake is applied according to the brake pedal travel the front wheel friction brake, the rear wheel friction brakes, and the regenerative brakes are applied one after another. As the braking requirements increase the frictional brakes are used accordingly.

For the low speed of the vehicle, regenerative braking is used but it may be limited according to the SOC (State of Charge) of the battery. As the speed of the vehicle increases the rear wheel frictional brake will be applied, if the braking requirement is not satisfied yet then the front wheel frictional brake is also used. In this strategy, regenerative brake starts to operate ahead of friction brake.

The regenerative braking system could restore kinetic energy and potential energy to a battery or any other form of power during braking. However, the large current produced by the generator during braking would affect battery performance and shorten battery life. A hybrid-power system is an excellent energy storage system, in which an ultra-capacitor bank and a battery pack are connected through a DC/DC power converter. The ultra-capacitor in this system can store instantaneous large currents quickly, which can protect the battery from large currents, suggesting that the ultra-capacitor can restore the regenerative energy very quickly, which will improve starting and acceleration performance, extend the driving range and increase fuel economy.

The coordination of the series control braking can be done with preference to the comfort of braking or energy storage.

Fig: Series control strategy

  1. Parallel control strategies:

The regenerative braking system is the own system of Electric and Hybrid Electric vehicles. The system can restore the kinetic energy and potential energy, used during start and accelerating, into the battery through the electrical machine. The total brake force is composed of friction brake force on the front axle, friction brake force on the rear axle, and regenerative brake force when a vehicle is equipped with regenerative braking system brakes.

The parallel brake strategy is not only safe enough but also can restore the largest amount of brake energy.

Fig: Parallel control strategies

An example of parallel control strategies is Nissan's EDIB in Leaf.

The model's features are:

Safe braking: EVs and hybrid vehicles use regenerative braking, which utilizes the motor to convert the kinetic energy during deceleration into electrical energy. With energy regeneration, an EV is able to run on less electricity and a hybrid vehicle on less fuel.

The EDIB (Electric Driven Intelligent Brake) allows and controls optimization of the regenerative brake and regular friction brake (hydraulic brake).

Technology Functionality: After stepping on the brake pedal, the system produces a natural and adequate braking force that corresponds to the operation. The amount of energy regeneration also needs to be increased as much as possible.

EDIB (Electric Driven Intelligent Brake) controls the regenerative brake and friction brake to support both of these requirements. Further, it also controls the reactive force from the pedal in order to unify the feeling when stepping down on the pedal and the sense of deceleration.

Technology Configuration: When the driver steps on the brake pedal, the stroke sensor detects the operation of the brake. That information is communicated to the ECU and controls the motor. The motor engages the piston and amplifies the friction brake's pressure (hydraulic pressure). Through optimum control of the friction brake's hydraulic pressure, the energy regeneration outcome is maximized.

Q3:Make a MATLAB program which plots contour of given motor speed, torque and efficiency values. Attach the code as a .m file attach a screenshot of all the plots.

Ans:-

The matlab code to plot contour of given motor is given below

clear all;
close all;
clc;

% A program for plotting efficiency contours for electric motors
% input speed and torque array of data
% The x-axis corresponding to motor speed (w) in rad/sec
x = linspace(1 , 1000);
% The y-axis corresponding to Torque produced by motor in N.m
y = linspace(1 , 250);
% Allocate motor loss constants
% For copper loss
kc = 0.2; 
% For iron loss
ki = 0.008; 
% For windage loss
kw = 0.00001; 
% For constant motor loss
CLoss = 20; 

% Now making motor speed & torque in Matrix
[X,Y] = meshgrid(x,y);

% To calculate output power of electric motor
%Power = Torque x Speed
Po = (X.*Y);

% To find losses
% Equation to find copper losses
B = (Y.^2)*kc;
% Equation to find Iron losses
C = X.*ki; 
% Equation to find windage losses
D = (X.^3)*kw; 

% Relationship between Input Power and Output Power of electric motor
Pi = Po + B + C + D + CLoss;

% To calculate the effieciency
Z = Po./Pi;

% We now set the efficiencies for which a contour will be plotted
N = [0.70, 0.80, 0.85, 0.90, 0.91, 0.92, 0.925, 0.93];
box off
grid off
contour(X,Y,Z,N);
xlabel('Speed in rad/sec');
ylabel('Torque in N.m');
hold on

% Now plot a contour of the power output of electric motor
% The Output Power in array format has already been calcuated. 
% We draw contours at 8 kw and 10 kW.
V = [8000, 10000];
contour(X,Y,Po,V);
title('Plot for efficiency contour, Speed vs Torque')

Code Explanation:

  1. At first used command clear all, close all, and clc to remove previous
  2. In the above code Speed and Torque of the motor are defined using the "linspace"
  3. Then all the loss constants as mentioned above are entered in the code and named accordingly.
  4. After that, a Matrix is created for Speed and Torque using the "meshgrid"command to help to create Contour Plot.
  5. Then all the losses, output power, and input power are calculated according to the above-mentioned formulas.
  6. Next, we created another efficiency matrix so that we can define levels for the Contour.
  7. At last, we plotted contour using the "contour" command, and once the program runs we get the following results.

Output Contour Plot:

Observation:

  • From the above plot, we can observe that the most efficient region in the contour is the innermost elliptical shape with an efficiency of over 93%.
  • It is evident from the contour that, the efficiency decreases as values are away from the innermost shape.
  • It is optimal for the Motor to operate between the innermost ellipse and its adjacent one for maximum efficiency and performance.

Conclusion:

  • The energy required for braking in the UDDS drive cycle was calculated.
  • Studied Why electric motor can’t develop braking torque at high speed similar to starting and also studied the coordination of mechanical and electric brakes.
  • A Matlab program was written for plotting the contour of given motor speed, torque, and efficiency values.
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