欢迎访问《汽车安全与节能学报》，
汽车安全与节能学报

JASE ›› 2019, Vol. 10 ›› Issue (4): 525-530.DOI: 10.3969/j.issn.1674-8484.2019.04.015

• 汽车节能与环保 • 上一篇    下一篇

基于 K 最近邻遗传算法的电池均衡策略 

李军，黄志祥，唐爽   

  1. （庆交通大学 机电与车辆工程学院，重庆  400074，中国）
  • 收稿日期:2019-05-15 出版日期:2019-12-31 发布日期:2020-01-01
  • 作者简介:第一作者 / First author ： 李军（1964—），男 ( 汉)，重庆，教授。E-mail: cqleejun@163.com。 第二作者 / Second author ： 黄志祥 (1995—)，男(土家族)，重庆，硕士研究生。E-mail: 985816077@qq.com。
  • 基金资助:
      国家自然科学基金资助项目 （51305472）；重庆轨道交通车辆系统集成与控制重点实验室项目支持 （cstc2015yfpt_zdsys3000）。

Battery equalization strategy based on K nearest neighbor genetic algorithm

LI Jun，HUANG Zhixiang，TANG Shuang   

  1. （School of Mechanical and Vehicle Engineering, Chongqing Jiaotong University, Chongqing 400074, China）
  • Received:2019-05-15 Online:2019-12-31 Published:2020-01-01

PDF

210

摘要： 为缩短电池组均衡系统的均衡时间，降低均衡能量损耗，以电感为储能元件，基于升压斩波 和降压斩波原理搭建均衡电路。采用 K 最近邻遗传算法实现电池组的均衡控制，与均值均衡策略进 行对比。在 MATLAB/Simulink中完成自均衡、充电和放电 3种均衡工况的仿真实验。研究结果表 明：采用本均衡策略后，3种工况下的均衡速度分别提高 26.70%、22.70%、24.80%；减少开关动作 次数降低了电池组的能量损耗，能量转化率提高了5.06%。因此，本均衡策略具有良好的均衡效果， 能有效地改善电池组间的不一致性，缩短电池组的均衡时间，降低均衡能量耗损。

关键词: 电池均衡, K 最近邻遗传算法, 均衡电路, 均衡速度

Abstract:  The inductor was used as the energy storage component and the equalization circuit was built based on the principle of step-up and step-down chopping to reduce the current equilibrium time and the balance energy loss. The K-nearest neighbor genetic algorithm was employed to realize the equalization control of the battery pack and it was compared with the mean equalization strategy. Simulations were performed in MATLAB/Simulink of self-equalization, charging and discharging in 3 balanced conditions. The results show that the equilibrium speed under the 3 conditions is improved by 26.70%, 22.70% and 24.80%, respectively. The reduction of switching operations can reduce the energy loss of the battery pack, and the energy conversion rate is increased by 5.06%. Therefore, the proposed equilibrium strategy has a good balance effect, which can effectively improve the inconsistency among battery packs and reduce the equilibrium time and the balance energg loss.

Key words: battery equalization, K nearest neighbor genetic algorithm, equalization circuit, equilibrium speed