Simulation on Active Equalization Strategy Control for Multi-Agent Lithium Battery
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U279.5;TP311

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    Abstract:

    Objective】Aiming at the problem of charging state balance management of lithium battery, a multiAgent based battery pack consistent charging state balance scheme was proposed.【Method】Firstly, the multiAgent 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.

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傅军栋,陈浩杰,孙翔,华天亮,刘深深,刘珺.基于多Agent的锂电池主动均衡策略控制仿真研究[J].华东交通大学学报英文版,2024,41(1):96-104.
Fu Jundong, Chen Haojie, Sun Xiang, Hua Tianliang, Liu Shenshen, Liu Jun. Simulation on Active Equalization Strategy Control for Multi-Agent Lithium Battery[J]. JOURNAL OF EAST CHINA JIAOTONG UNIVERSTTY,2024,41(1):96-104

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  • Received:March 06,2023
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  • Online: March 20,2024
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