基于变论域模糊PID算法的锂电池组级联式均衡控制
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1.安庆师范大学电子工程与智能制造学院安庆246133;2.合肥工业大学电气与自动化工程学院合肥230009; 3.合肥综合性国家科学中心能源研究院(安徽省能源实验室)合肥230071

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TM912; TN108.7

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国家自然基金(62205005)、安徽高校协同创新项目(GXXT-2021-025)、储能技术学院质量工程项目(2021cyxy045)资助


Cascaded equalization control of lithium batteries based on variable discourse domain fuzzy PID algorithm
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1.School of Electronic Engineering and Intelligent Manufacturing, Anqing Normal University, Anqing 246133, China; 2.School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China; 3.Institute of Energy of Hefei Comprehensive National Science Center (Anhui Energy Laboratory), Hefei 230071, China

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    摘要:

    为了解决锂电池组在长期使用过程中串联单体电池之间电压存在不一致的问题,提出了一种基于变论域模糊PID控制的级联式双向Cuk均衡电路系统。该系统采用级联式双向Cuk均衡电路实现了不相邻电池之间的均衡,采用变论域模糊PID算法提高了电池电压的均衡速度。为了验证该系统的可行性与优越性,在MATLAB/Simulink中设计了传统双向Cuk均衡电路和级联式双向Cuk均衡电路仿真模型,模糊PID算法和变论域模糊PID算法控制下的仿真实验结果对比表明,基于变论域模糊PID算法的级联式双向Cuk均衡拓扑的均衡时间比未加控制算法的传统双向Cuk均衡拓扑的均衡时间减少了64.29%;比未加控制算法的级联式双向Cuk均衡拓扑的均衡时间减少了50.82%;比基于模糊PID算法的级联式双向Cuk均衡拓扑的均衡时间减少了14.29%。系列仿真实验结果对比分析验证了基于变论域模糊PID控制的级联式双向Cuk均衡电路系统可以提高电池的电压均衡速率。

    Abstract:

    During the long-term use of lithium battery packs, there is a problem of inconsistent voltages among the series-connected individual batteries. To solve this problem, a cascade bidirectional Cuk equalization circuit system based on variable domain fuzzy PID control is proposed in this paper. In this system, a cascade bidirectional Cuk equalization circuit is employed to achieve equalization between non-adjacent cells, and the variable domain fuzzy PID algorithm is exploited to enhance the voltage equalization speed. To verify the feasibility and superiority of the system, simulation models of the traditional bidirectional Cuk equalization circuit and the cascaded bidirectional Cuk equalization circuit were designed in MATLAB/Simulink. The comparison of simulation results under the control of the fuzzy PID algorithm and the variable domain fuzzy PID algorithm reveals that the balancing time of the cascade bidirectional Cuk balancing topology based on the variable domain fuzzy PID algorithm is decreased by 64.29% compared with the traditional bidirectional Cuk balancing topology without a control algorithm. The equalization time of the cascade bidirectional Cuk equalization topology without a control algorithm is reduced by 50.82%. The balancing time of the cascade bidirectional Cuk balancing topology based on the fuzzy PID algorithm is reduced by 14.29%. According to the analysis of the simulation results, it is demonstrated that the cascade bidirectional Cuk equalization circuit system based on fuzzy PID control in the variable theory domain can augment the voltage equalization rate of the battery.

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吴文进,吴晶,郭海婷,查申龙,苏建徽.基于变论域模糊PID算法的锂电池组级联式均衡控制[J].电子测量与仪器学报,2024,38(8):137-144

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  • 在线发布日期: 2024-10-31
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