In order to reduce battery aging and energy loss, an optimized charging method considering battery aging and energy loss is proposed in this work. Firstly, based on the second-order RC equivalent circuit model, the parameters of the battery model are identified by pulse current tests. Secondly, according to Joule’s law, the model of battery energy loss is established. Combining the established model with the aging empirical model, the dual objective of charging optimization is constructed. The non-terminated sorted genetic II algorithm is used to optimize goals. The utopian point method is applied to select the best target and determine the optimal charging current sequence. Finally, the effectiveness of the proposed method is verified by comparative experiments. The experimental results show that the overall effect of 8-stage current charging is better than that of 4-stage charging, which has better benefits for improving battery performance.
Keywords Aging empirical model, Charging optimization, Non-terminated sorted genetic II algorithm, Utopian point method