Challenge

Project 2

Ans:

Project 2-Development of a forward energy-based fuel consumption model of a P1 hybrid vehicle.

Stepps Followed:

1) Loaded the Project2 folder as the Current Folder in Matlab.
2) Ran the “Project2_InitFile.m” Matlab script.
3) Copied the Conventional vehicle Simulink model created for Project 1 in this folder. Figure 1: P1 Hybrid ArchitectureHybrid Drives Development
4) Modified this model into a hybrid vehicle model. Used the lecture presentations as reference.Reused the Battery and Supervisory controller models developed in the assignments.
5) Added additional ‘To Workspace’ blocks for transferring the desired Simulink vehicle data into the Matlab workspace.
6) Simulated the hybrid model on the desired drive cycles.

Matlab Script File:

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% Skill-Lync -> Hybrid Drives Development
% Project 1 - Conventional Vehicle Model
% By - Ullekh Gambhira
% Description:
%% Initialization File
% Initialization file for loading the variables for the Conventional vehicle simulation model
%% Vehicle Parameters
M = 1500; % Vehicle weight [kg]
Cr = 0.015; % Rolling resistance coefficient
Rw = 0.35; % Rolling radius [m]
Cd = 0.33; % Drag coefficient
Af = 2; % Frontal area [m2]
rhoa = 1.225; % Air density [kg/m3]
Vwind = 0; % Wind velocity [kmph]
g = 9.81; % Gravitational acceleration [m/s2]
theta = 0; % Slope [deg]
myu_road_tire = 1; % Coefficient of friction between tire - road interface
%% Powertrain Parameters
FDR = 3.73; % Final Drive Ratio / Diff Ratio
DiffEff = 0.99; % Differential efficiency (assumed independent of operating conditions)
NumGear = 4; % Number of gears in transmission
TransGear = [1:NumGear]; % Transmission Gears
TransRatio = [3.06, 1.62, 1, 0.7]; % Corresponding Transmission ratios
TransEff = 0.90; % Transmission efficiency (assumed independent of operating conditions)
TC_SR = [0, .5, .6, .7, .8, .87, .92, .94, .96, .97, 1]; % Torque Converter Speed Ratio (Matlab default) -> TurbSpd/PumpSpd
TC_TR = [2.232, 1.5462, 1.4058, 1.2746, 1.1528, 1.0732, 1.0192, 1, 1, 1, 1]; % Torque Converter Torque Ratio (Matlab default) -> TurbTrq/PumpTrq
TC_Cf = 1e-4 * [.72558, .66322, .63463, .59042, .51331, .4144, .29287, .22444, .12186, .04386, 0]; % Torque Converter Capacity Factor (Matlab default) -> PumpTrq/PumpSpd^2 [Nm/rpm^2]
load Vehicle_Data/Engine_data_1_9L_Saturn_95kW
load Vehicle_Data/Trans_Shift_map
load Vehicle_Data/EM_Honda_Insight_10kW
load Vehicle_Data/ESS_NiMH6
ESS_init_soc = 0.8;
ESS_soc_max = 0.9;
ESS_soc_min = 0.6;
%% Driver Parameters
Kp = 10; % P gain for driver PI model
Ki = 1; % I gain for driver PI model
Drive_Cycle_Select = 2; % Drive cycle selection
% Drive cycle values in m/s
if Drive_Cycle_Select == 1
load DriveCycles/UDDS;
elseif Drive_Cycle_Select == 2
load DriveCycles/HWFET;
elseif Drive_Cycle_Select == 3
load DriveCycles/FTP;
elseif Drive_Cycle_Select == 4
load DriveCycles/US06;
elseif Drive_Cycle_Select == 5
load DriveCycles/NEDC;
elseif Drive_Cycle_Select == 6
load DriveCycles/WLTP;
end
time_end = cyc_time(end);
vel_end = cyc_vel(end);
Simulink Model:
Driver Subsystem:
Blocks Used:
Clock, To workspace,1D lookup table, Scope,Integrator,Add,Saturation,Gain,Constant,Compare to constant, Relational Operation,And,Stop Simulation.
Scope Result:
Drive Cycle Vs Velocity
Controller Subsystem:
State flow chart:
Engine Control Unit:
Minimum torque curve and Maximum torque curve lookup tables:
Idle Speed Controller:
Blocks Used:
Logical operator,Compare to constant,saturation.
Transmission Control Unit:
Shift logic state flow chart:
Electric Motor Control Unit:
Lookup table:
Brake Control Unit:
Powertrain Subsystem:
Engine:
Blocks Used:
1D lookup table,2D lookup table,Saturation,Saturation Dynamic,Integrator,To workspace, Constant.
Lookup tables:
Saturation Blocks:
Electric Motor:
Blocks Used:
Lookup tables,Saturation dynamic block,scope.
Lookup tables:
Crank Hub:
Energy Storage System Subsystem(Battery pack):
State of charge(SOC) estimation:
Terminal Voltage:
Transmission:
Torque Converter:
Differential:
Wheels:
Vehicle Dynamics:
Road Load:
Post Processing file:
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% Skill-Lync -> Hybrid Drives Development
% Project 2 - Hybrid Vehicle Model
% By - Ullekh Gambhira
% Description:
% The following file is to used with the Initialization file and Simulink
% results for post-processing of the data.
% The file is incomplete, has some examples of how the data is imported
% into a readable format, data analysis and plotting examples.
% Based on the project task, use commands in a similar format as given
% below, to analyse the data and generate required plots.
% You can change variable names if desired
%% Post-Processing File
% File for post-processing the Conventional vehicle simulation model data
%% Renaming variables
Time = out.tout;
Acc_Pdl = out.Acc_Pdl; % Accelerator pedal [%]
Brk_Pdl = out.Brk_Pdl; % Brake pedal [%]
Gear_Cmd = out.Gear_Cmd; % Transmission gear
Trans_In_Spd = out.Trans_In_Spd*30/pi; % Transmission input speed [rpm]
Trans_Out_Spd = out.Trans_Out_Spd*30/pi;% Transmission output speed [rpm]
Eng_Trq = out.Eng_Trq; % Engine brake torque [Nm]
Eng_Spd = out.Eng_Spd*30/pi; % Engine speed [rpm]
Eng_Fuel_Consump = out.Eng_Fuel_Consumption; % Engine fuel consumption [g]
Veh_Dist = out.Veh_Dist/1000; % Distance traveled by vehicle [km]
Veh_Spd = out.Veh_Spd*18/5; % Vehicle speed [kmph]
% Speed_plot=out.Veh_Spd_Plot
%% Data Analysis
Eng_Pwr = (Eng_Spd*pi/30).*(Eng_Trq/1000); % Engine brake power [kW]
rho_petrol = 0.7197; % Density of petrol [kg/L]
kmpl = Veh_Dist(end)./(Eng_Fuel_Consump(end)/1000/rho_petrol); % Fuel economy [kmpl]
%% Plotting vehicle characteristics time trace
figure()
subplot(3,1,1)
hold on
grid on
plot(Time, Acc_Pdl, 'linewidth', 1, 'Color', 'black');
plot(Time, Brk_Pdl, 'linewidth', 1, 'Color', 'red');
ylabel('Pedal [%]')
xlim([0, Time(end)]);
legend('Accel','Brake');
subplot(3,1,2)
hold on
grid on
plot(Time, Trans_In_Spd, 'linewidth', 1, 'Color', 'black');
plot(Time, Trans_Out_Spd, 'linewidth', 1, 'Color', 'red');
ylabel('Speed [rpm]')
xlim([0, Time(end)]);
ylim([0, 6000]);
legend('Trans Input','Trans Output');
subplot(3,1,3)
hold on
grid on
plot(Time, Gear_Cmd, 'linewidth', 1, 'Color', 'black');
xlim([0, Time(end)]);
xlabel('Time [s]');
ylabel('Gear');
%% Plotting engine operating points on engine fuel map
figure('Name','Engine Operating Points');
hold on
grid on
title('Engine Operating Points','fontsize',12);
p1=plot(Eng_map_spd*30/pi,Eng_max_trq,'linewidth',2,'color','r');
p2=line([Eng_map_spd(end)*30/pi Eng_map_spd(end)*30/pi],[0 Eng_max_trq(end)]);
set(p2,'linewidth',1,'linestyle','--','color','k');
p3=line([Eng_map_spd(1)*30/pi Eng_map_spd(1)*30/pi],[0 Eng_max_trq(1)]);
set(p3,'linewidth',1,'linestyle','--','color','k');
[c,h] = contour(Eng_map_spd'*30/pi,Eng_map_trq,Eng_fuel_map');
clabel(c,h);
xlabel('Engine Speed [rpm]');
ylabel('Engine Torque [Nm]');
title('Engine Fuel Consumption Map [g/s]');
p4 = plot(Eng_Spd,Eng_Trq,'.','color','k');
legend([p1 p4],{'Max Curve','Operating Points'});
axis([Eng_map_spd(1)*30/pi Eng_map_spd(end)*30/pi 0 Eng_map_trq(end)]);
HWFET cycle
a)Fuel Economy Number
Vehicle Mileage 17.17 Kmpl. In the P1 Hybrid vehicle according to this driving conditions, we will get 17.17 Kmpl mileage, which is better than Conventional vehicle(Project 1).
In the project 1 we have got 16.5 Kmpl at the HWFET drive cycle.
b)Plot results:
above plot represents the Engine Fuel Consumption Vs Engine Speed and Time Vs pedal operation,gear command and the speed.
Scope Results:
1)
above scope result represents the brake torque request,gear command and the engine torque request.
2)
3)
above scope represents the EM torque req and EM speed.
4)
above scope represents the displacemenr and velocity of the vehicle.
UDDS Cycle:
Vehicle Mileage 15.12 Kmpl. In the P1 Hybrid vehicle according to this driving conditions, we will get 15.12 Kmpl mileage, which is better than Conventional vehicle(Project 1).
In the project 1 we have got 14.20 Kmpl at the UDDS drive cycle.
Plot Results:
above plot represents the Engine Fuel Consumption Vs Engine Speed and Time Vs pedal operation,gear command and the speed.
Scope Results:
1)
above scope represents the Velocity Vs Drive cycle of the P1 Hybrid vehicle in UDDS drive cycle.
2)
3)
above scope result represents the brake torque request,gear command and the engine torque request.
4)
above scope represents the EM torque req and EM speed.
5)
above scope represents the displacemenr and velocity of the vehicle.
Attached the Project 2 Matlab initialization file,post processing file & the Simulink slx file.
Attached the Project 1 simulink slx file for reference.
Attached all the drive cycles which given by the question available datas.
For future reference i have attached all the required files.
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