Challenge

Week 7 State of charge estimation

1) AIM: Simulate the 3 test cases from harness dashboard and write a detailed report on the results

Ans:

  • Now,at first we have to simulate 3 test cases from harness dashboard. We need to,select the harness dashboard from project file which we dowwnloaded with the reference link.

 https://in.mathworks.com/matlabcentral/fileexchange/72865-design-and-test-lithium-ion-battery-management-algorithms.

The battery model harness dash doard is represented below.

1) Click on the Test Sequence varient block and select test case as 1.

Now by clicking on the BMS sequence TestSequence1 block we get the  chart.

  • When simulation will start the model will be in driving condition.After 3000 seconds it will be in standby mode and after 1000 seconds it will be in charging mode.now by running the simulation.

Results:

  • From the plot we can see the vehicle is initially in driving state and charging was done till 90%.After charging it reaches to standby mode.
  • It reaches to standby mode.it can be seen in BMS state plot.Battery temperature increases in driving and charging.Battery voltage was increased to 4.2v while charging.
  • current plot shows the value of current supplied to  vehicle while driving. SOC decreased up to 50% in driving condition and it was increased while charging.

2) Now change the  test sequence varient in case two.

Now by clicking on the BMS state request block.

Result:

  • From the above graph a fault condition occured in second case.so even after charging was started the SOC didnt increase.it continue to decrease.

3) Now by changing the Sequence value to 3.

  • This condition has only one phase and that is charging. thus 0 to 20000 seconds simulation runs.

Result:

  • Here we can see that the soc reached 100% in charging and remained in stand by mode.cell temperature also decrased when stsndby mode was acheived.
  • From the 3 cases we observer that only charging takes place thus soc was 80% at first then SOC increases to 100% in 2000 seconds then SOC remains constant at 100%.

2) AIM:  What is coulomb counting? Refer to the above model and explain how BMS implements coulomb counting for SOC estimation ? 

Ans:

Coulomb Counting Method:

  • The Coulomb counting method measures the discharging current of a battery and integrates the discharging current over time in order to estimate SOC.
  • Coulomb counting method is done to estimate the SOC(t) , which is estimated from the discharging current,I(t) , and previously estimated SOC values, . SOC(t-1).SOC is

calculated by the following equation:

  • But there are several factors that affect the accuracy of Coulomb counting method including temperature, battery history, discharge current, and cycle life 

Modified Coulomb Counting Method:

  • To improve the Coulomb counting method, a new technique called modified Coulomb counting method is proposed. The modified Coulomb counting method uses the corrected current to improve the accuracy of estimation.
  • The corrected current is the function of discharging current. There is a quadratic relationship between the corrected current and discharging current of battery. By practice of experimental data, corrected current is calculated by the following form:

  • where k2 ,k1  and k0 are constant values obtained from the practice experimental data.
  • In modified Coulomb counting method, SOC is calculated by the following equation:

  • The experimental results show that the accuracy of the modified Coulomb counting method is superior to the conventional Coulomb counting method.

For example  we can look into the proect file we downloaded. A BMS system in the file is represented below.

  • BMS algorithm models protects,reports the measurement from battery pack.

  • By clicking on the BMS ECU we get the Subsystem.

  • By clicking on the Soc estimation block we get.

  • From above figure we observe the coulomb Counting block.

  • A subsystem opens when we click on the Coulomb Counting.

  • This system does the estimation by coulomb counting equation mentioned above.
  • Advantage of coulomb counting method is its simplicity and low computational cost.
  • Temperature and current from the battery is given as inputs.
  • current signal is given to a gain block and temperature is given to capacity since it varies according to temperature.
  • these inputs are given for integration where current will be integrated with respect to time.
  • This out is given to another block where it is divided by capacity.
  • Hence the SOC is estimated. 
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