Week 7 State of charge estimation
Aim:-
1.Simulate the 3 test cases from harness dashboard and write a detailed report on the results
2.What is coulomb counting? Refer to the above model and explain how BMS implements coulomb counting for SOC estimation ?
Study 1:-Simulate the 3 test cases from harness dashboard and write a detailed report on the results
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 downloaded with the reference link https://in.mathworks.com/matlabcentral/fileexchange/72865-design-and-test-lithium-ion-battery-management-algorithms . The battery model harness dash board is represented below.
1)Click on the Test Sequence Varient Block and select test case as 1
Now by clicking on the BMS Sequence 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:-
Here all the indicators are green. So we can see no errors and we check the plot for this model and is shown below.
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 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 test 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%
For example we can look into the project 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 outout is given to another block where it is divided by capacity.
- Hence the SOC is estimated.