基于NSGA-II遗传算法的锂电池均衡指标优化

刘宇龄, 孟锦豪, 彭乔, 刘天琪, 王扬, 蔡永翔

NSGA-II genetic algorithm-based optimization of the lithium battery equalization index

Yuling LIU, Jinhao MENG, Qiao PENG, Tianqi LIU, Yang WANG, Yongxiang CAI

表2 HWFET工况： ΔV 作为均衡阈值决策得到Pareto解集中次序前5的解

Table 2 HWFET conditions: ΔV as the equilibrium threshold decision to obtain the top 5 solutions in the order of Pareto solution set

次序 阈值ΔV 均衡目标 得分 Nsw/次 Teq/s σSOC 1 0.0156 552 392 0.01807 9.6334 2 0.0153 554 392 0.0178 9.6235 3 0.0152 555 392 0.0177 9.6175 4 0.0151 556 392 0.0176 9.6097 5 0.0150 557 392 0.0176 9.6014