Abstract
Based on the rebound voltage data which was measured under different temperatures for lithium ion battery, a residual capacity prediction model used adaptive neuro-fuzzy inference system (ANFIS) was established. The rebound voltage and temperature were the input of prediction system, and the output was residual capacity. A large number of experimental data were used to train and verify the model. The reliability and applicability of the model were proven by applying it to predict and verify the residual capacity of different battery packs.
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