Abstract
With the application of lithium-ion battery more and more widely, the research on the estimation of the state of charge (SOC) of lithium ion battery has become a hot topic, which can effectively ensure the safety and stability of lithium ion battery. In this paper, an improved fuzzy neural network (IFNN) is proposed for SOC estimation. Compared with traditional methods, IFNN does not need to establish a specific lithium-ion battery model, but only needs data to obtain the complex nonlinear relationship of lithium-ion battery. In order to verify the effectiveness of IFNN, 18650-20R lithium ion battery is selected as the experimental object of this paper. The research results show that IFNN is used for SOC estimation, the mean absolute error (MAE) and root mean square error (RMSE) are both at a very low level, and the final estimation error is less than 1%, which indicates that IFNN has a good estimation performance.
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