SoC Estimation of Lithium Battery Based on AEKF Algorithm

Lithium iron phosphate power battery is the research object in this paper, in order to accurately estimate the lithium ion power battery state of charge(SoC). By the research and analysis of traditional lithium ion power battery SoC estimation algorithm, the paper puts forward a kind of algorithm based on Adaptive Extended Kalman Filtering Algorithm of lithium ion power battery SoC estimation algorithm, and puts forward combining PNGV equivalent circuit battery model and AEKF algorithm, using MATLAB to simulate verified the feasibility of the algorithm and estimation accuracy. Simulation and experiment results show that the adaptive extended Kalman filtering algorithm of lithium-ion power battery online estimator is effective, which can accurately estimate the SoC of the battery and has high precision. This algorithm is applicable to the lithium ion power battery SoC estimation.