Lithium battery remaining capacity estimation method based on integral Kalman filtering
A technology of Kalman filtering and remaining power, applied in the direction of measuring electrical variables, measuring electricity, measuring devices, etc., can solve the problem that the estimation accuracy needs to be further improved.
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[0076] Such as figure 1 As shown, the lithium battery remaining power estimation method based on the integral Kalman filter of the present invention comprises the following steps:
[0077] Step 1, establishing an equivalent circuit model of a lithium battery;
[0078] Step 2, establishing a state equation and an observation equation according to the equivalent circuit model;
[0079] Step 3, performing parameter identification on the parameters in the equivalent circuit model;
[0080] Step 4, using the SOC as the state variable to establish a discrete-time state equation;
[0081] Step 5, determine the size of the Gauss-Hermite integration point and the weight corresponding to the integration point;
[0082] Step 6: The remaining power of the lithium battery during the discharge process is continuously estimated by using the calculation process of calculating the integral Kalman filter.
[0083] In this method, if figure 2 As shown, the equivalent circuit model of the b...
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