河北科技大学学报2025，Vol.46Issue(1)：21-29,9.DOI:10.7535/hbkd.2025yx01003
基于模糊模型预测控制的电池均衡研究
Research on battery balancing based on fuzzy model predictive control
摘要
Abstract
To improve the performance of lithium-ion battery pack balancing system,a modular balancing system based on fuzzy adaptive model predictive control(FAMPC)was proposed.Firstly,a dual-layer balancing topology structure was composed of an improved buck-boost circuit and a flyback transformer.Secondly,using the state of charge(SOC)at different levels of battery remaining capacities as inputs for the fuzzy logic algorithm,the constraints on the balancing current were adjusted.Then,based on FAMPC balancing control method,the duty cycle of the switching transistor was directly used as the system input.Finally,simulation experiments were conducted without employing additional current control mechanisms to change the battery pack state.The results show that compared with traditional fuzzy control methods,the proposed system increase the balancing speed by approximately 24.51%under normal conditions and can further increase the balancing speed to 34.48%under extreme conditions with low battery SOC.The proposed system combines the stability provided by fuzzy algorithms with the rapid response of model predictive control algorithms,ensuring safer and more stable operation of the battery pack,which can provide reference for the research of enhancing battery pack performance.关键词
储能技术/主动均衡/模型预测控制/模糊逻辑算法/自适应Key words
energy storage technology/active balancing/model predictive control/fuzzy logic algorithm/self-adaption分类
信息技术与安全科学引用本文复制引用
刘光军,王宇涛,马黎阳,吴铁洲,田爱娜..基于模糊模型预测控制的电池均衡研究[J].河北科技大学学报,2025,46(1):21-29,9.基金项目
国家自然科学基金(52207233) （52207233）
