运用遗传算法提升电池组系统可用能量

Improving available energy of battery packs by genetic algorithm

单体电池容量差异导致电池组系统能量偏低是动力电池系统集成过程中普遍存在的难题。采用遗传算法确定电池系统成组中单体的配组方式,以单体配组方式构造染色体,以容量方差为参数计算适应度,经过3 000代遗传得到近似最优解,结果表明经过该算法得到的配组方式比随机配组方式结果优良,电池组系统可用能量提高了2.5%。

The lower energy of battery packs is caused by differences of capacities in cells.The genetic algorithm was used to calculate the combination of cells.The chromosomes were constructed of the combinations of cells.The fitness was calculated using the variances of capacities as the parameters.The approximate optimal value,which exhibits a better combination than a random one,rises after 3 000 generations.The energy of battery packs gets improved.