摘要
【目的】针对锂电池的荷电状态均衡管理问题,提出一种基于多智能体的电池组荷电状态一致性均衡方案。【方法】首先,将多智能体控制策略引入电池管理的下垂控制中,实现了主动均衡电路拓扑下的自主均衡;其次,建立领航跟随者模型,利用参数已知的虚拟智能体使各个荷电状态不一致的电池的状态向其靠近,实现充放电模式下的荷电状态均衡;最后,对二阶多智能体荷电状态均衡控制策略进行仿真验证。【结果】实验结果表明,相比一阶均衡控制策略,自主均衡时间减少了43.02%,充电模式中均衡时间减少了16.13%,放电模式中均衡时间降低了32.90%。【结论】多智能体系统在电池的均衡管理中能够实现荷电状态的均衡,有效地降低了锂电池荷电状态到达一致性的收敛时间。
【Objective】Aiming at the problem of charging state balance management of lithium battery,a multi-Agent based battery pack consistent charging state balance scheme was proposed.【Method】Firstly,the multi-Agent control strategy is introduced into the sagging control of battery management,and the autonomous balancing under the active balancing circuit topology was realized.Secondly,the lead follower model is established,and the virtual agents with known parameters are used to make the state of each battery with inconsistent charging state close to it,so as to achieve the charging state balance in charge-discharge mode.Finally,simulation verification of the two-order multi-Agent state load balancing control strategy is carried out.【Result】The experimental results show that,compared with the first-order balancing control strategy,the autonomous balancing time is reduced by 43.02%,the balancing time in charging mode is reduced by 16.13%,and the balancing time in discharge mode is reduced by 32.90%.【Conclusion】The multi-Agent system can achieve the balance of SOC in battery balancing management,effectively reducing the convergence time of SOC reaching the consistency of lithium battery.
作者
傅军栋
陈浩杰
孙翔
华天亮
刘深深
刘珺
Fu Jundong;Chen Haojie;Sun Xiang;Hua Tianliang;Liu Shenshen;Liu Jun(School of Electrical and Automation Engineering,East China Jiaotong University,Nanchang 330013,China)
出处
《华东交通大学学报》
2024年第1期96-104,共9页
Journal of East China Jiaotong University
基金
江西省教育厅科学技术研究项目(GJJ210668)
江西省教育厅一般项目(GJJ2200618)。
关键词
荷电状态
电池管理系统
主动均衡
均衡控制策略
多智能体
charging state
battery management system
active equilibrium
equilibrium control strategy
multi-Agent
