This paper presents a variable-current charging strategy of Li-ion batteries. Since the battery characteristics vary with state of charge (SOC), it is more reasonable to divide the charging process based on SOC than on cut off voltage. We find an optimal charging pattern of the proposed strategy by Non-dominated Sorting Genetic Algorithm-III (NSGA-III). The Second-order Thevenin model of battery is established to simulate the charging process. Verification experiments are performed and results show that the obtained charging pattern has a temperature and loss reduction of 2.9 °C and 0.5% compared with constant current-constant voltage (CC-CV) strategy under the same charging time and capacity.

中文翻译：

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基于SOC分段的锂离子电池变电流充电策略优化


本文提出了一种锂离子电池的变电流充电策略。由于电池特性随荷电状态（SOC）的不同而变化，因此根据SOC来划分充电过程比根据截止电压来划分充电过程更为合理。我们通过非支配排序遗传算法-III（NSGA-III）找到了所提出策略的最佳收费模式。建立电池二阶戴维宁模型来模拟充电过程。进行验证实验，结果表明，在相同充电时间和容量下，所获得的充电模式与恒流-恒压（CC-CV）策略相比，温度和损耗降低了2.9℃和0.5%。