How to define input values for adapative Kalman filter for SOC

Hello,

I am trying to develop algortihm of SOC (Adapative kalman filter) and SOH for BMS system but how to set following parameters and set input values for the SOC and SOH. (Note: Using Simscape battery libaray)

1) Covariance of the process noise, Q — Covariance of process noise

2) Covariance of the measurement noise, R — Covariance of measurement noise

3) Initial state error covariance, P0 — Initial state error covariance

4) First polarization resistance, R1(SOC,T), (ohm) — First RC resistance at temperature breakpoints

5) First time constant, tau1(SOC,T), (s) — First RC time constant at temperature breakpoints

6) No-load voltage, V0(SOC,T), (V) — V0 lookup table

...... and more.

How to creates matrix for Q and P0 (1 & 2). I only see that some basic information available on documentation of SOC Estimator (Adaptive Kalman Filter) but it is enough source. I request to you please provide information with full details so I will create new matrix, and value as per my requirements. Thank you

Answer 1

[Samyuktha]

Hi Jigar,

You can define the matrix for 'Covariance of Process Noise(Q)' and 'Initial State Error Covariance(P0)' as per the the format given in the Parameter->Main section of the documentation : SOC Estimator (Adaptive Kalman Filter)

The default value of 'Q' would be a 3x3 matrix:[1e-6 0 0; 0 1e-6 0;0 0 1e-6].

While the default value of 'P0' would also be a 3x3 matrix: [1e-5 0 0; 0 1 0; 0 0 1e-5].

Hope it helps!

[Jigarkumar]

Thank you

I got it this information but now when I am trying to develop algorithms and run model but my SOC and SOH estimation are calculated wrong and it was indicated wring graph so please can you sugest me or share example so I will recorrect it.