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1 NEDC工况: ΔV 作为均衡阈值决策得到Pareto解集中次序前5的解
Table 1 NEDC 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/sσSOC
10.0232277720200.01828.8978
20.0230278220180.01818.8967
30.0233277520240.01828.8951
40.0229278420170.01808.8945
50.0234277220280.01828.8913