A Path Planning Strategy with Ant Colony Algorithm for Series Connected Batteries

被引：5

作者：

Chen, Yang ^{[1
]}

Shen, Teng ^{[1
]}

Yang, Shiyan ^{[2
]}

Liu, Xiaofang ^{[2
]}

Yang, Ru ^{[1
]}

Cheng, Lefeng ^{[1
]}

机构：

[1] Guangzhou Univ, Sch Mech & Elect Engn, Guangzhou 510006, Peoples R China

[2] Harbin Inst Technol, Sch Elect Engn & Automat, Harbin 150001, Peoples R China

来源：

ELECTRONICS | 2020年 / 9卷 / 11期

基金：

中国国家自然科学基金;

关键词：

ant colony algorithm; graph model; path planning; series connected batteries; two-layer balancing structure; SHORTEST-PATH; OPTIMIZATION; EQUALIZATION; SYSTEM;

D O I：

10.3390/electronics9111816

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This article presents a path planning strategy with ant colony algorithm for series connected batteries. The motive of this paper is the increasing need for efficient and fast equalization for Lithium-ion batteries. There are many great papers on the design of the equalization circuits. However, they lack the part of path planning strategy for the balancing circuits. To solve this issue, we adopt the graph model to represent the balancing paths among different battery cells and then construct two optimal models based on the best efficiency and speed, respectively. Finally, ant colony algorithm is used to solve these two models. This makes it possible to achieve different goals according to the practical operating conditions. We validate the function of the proposed path planning strategy through an example of 13 series connected battery balancing system.

引用

页码：1 / 13

页数：13

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