Multi-Measurement Kalman-Filtering-Based Neural Network Estimator for SOC of Lithium Batteries
Xubin Qin,
Tianyun Hao,
Jie Ding
Abstract:State of charge (SOC) refers to the remaining capacity of the battery, which cannot be measured directly. A multi-measurement Kalman filter which is composed of two sub Kalman filters is constructed to improve the estimation accuracy of SOC. The two sub filters share the same state function but have different measurements, namely the terminal voltage and the SOC estimation from neural network, respectively. Based on minimizing the trace of error covariance, an optimal weighted matrix is computed to fuse the es… Show more
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