摘要
碳达峰、碳中和背景下,电动汽车、电力储能的规模日益扩大,对锂离子电池高效、快速均衡的需求也在不断增长,锂离子电池的均衡电路设计,尤其是路径规划显得尤为重要,为此提出了一种基于蚁群算法的串联电池组路径规划策略。首先采用图模型表示不同电池单元之间的均衡路径;然后建立最佳均衡效率和速度模型,并采用实用的启发式群体智能算法,即蚁群算法求解这2个模型。以13节串联电池均衡系统为例,验证了所提出路径规划策略的有效性。
To pursue carbon neutrality and carbon peaking,the scale of electric vehicles and electric energy storage is expanding.With the ever-growing demand for efficient and fast equalization of Li-ion batteries,the design,especially the path planning,of equalization circuits for Li-ion batteries becomes crucial.An ant colony algorithm-based path planning strategy for series-connected battery packs is proposed.First,a graph model is used to represent the equalization paths between different battery units.Then,the optimal equalization efficiency and speed models are established,and are solved by an ant colony algorithm,a practical heuristic swarm intelligence algorithm.Finally,taking an equalization system with 13 series-connected batteries as an example,the effectiveness of the proposed path planning strategy is verified.
作者
陈洋
程乐峰
邹涛
CHEN Yang;CHENG Lefeng;ZOU Tao(Department of Mechanical and Electrical Engineering,Guangzhou University,Guangzhou 510006,China)
出处
《华电技术》
CAS
2021年第8期27-32,共6页
HUADIAN TECHNOLOGY
基金
广东省自然科学基金项目(2020A1515011247)
广东省教育厅“创新强校工程”项目(自科类)(2020KQNCX054)。
关键词
碳中和
电力储能
电动汽车
锂离子电池
蚁群算法
图模型
路径规划
串联电池组
双层均衡结构
carbon neutrality
electricity storage
EV
Li-ion battery
ant colony algorithm
graph model
path planning
series-connected battery packs
two-layer balancing structure
