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作 者:武小兰[1] 马彭杰 白志峰 刘成龙 郭桂芳[2] 张锦华[1] WU Xiaolan;MA Pengjie;BAI Zhifeng;LIU Chenglong;GUO Guifang;ZHANG Jinhua(School of Mechanical and Electrical Engineering,Xi'an University of Architecture and Technology,Xi'an 710055,Shaanxi,China;School of Information Engineering,Xizang Minzu University,Xianyang 712082,Shaanxi,China)
机构地区:[1]西安建筑科技大学机电工程学院,陕西西安710055 [2]西藏民族大学信息工程学院,陕西咸阳712082
出 处:《储能科学与技术》2025年第3期1150-1159,共10页Energy Storage Science and Technology
基 金:陕西省重点研发计划项目(2024GX-YBXM-178);中央引导地方科技发展资金项目(XZ202301YD0003C)。
摘 要:针对电池组的性能和寿命会因单体电池荷电状态的不一致而显著降低的问题,提出了一种基于智能PID控制的锂离子电池组双层主动均衡控制方法。该方法提出了一种电池组双层均衡拓扑,组内采用扩展性好的Buck-Boost电路,组间采用均衡效率高的反激变压器。在此基础上,提出采用贝叶斯算法优化的PID控制器来控制输出可变占空比进而控制均衡电流来实现电池组内、组间均衡。仿真结果表明,针对初始SOC差异设置在4%~55%的情况,对比基于Buck-Boost电路的传统均衡,静置模式和充电模式下均衡时间分别减少了503 s、515 s,均衡效率分别提高了65.7%、66.5%,静置模式下能量转移效率提高了4.4%。实验结果表明,均衡电流小于1.5A的条件下,本文提出的均衡方法在1110 s时实现了均衡,相较于模糊PID算法均衡时间缩短了616 s,证明了所提出均衡控制方法的先进性。To address the reduction in performance and lifespan of a battery pack caused by inconsistencies in the state of charge of individual cells,this paper proposes a double-layer active balancing control method for a lithium-ion battery pack based on intelligent PID control.The method employs a double-layer equalization topology,using a Buck-Boost circuit with good scalability within groups and a flyback transformer with high equalization efficiency between groups.A PID controller optimized by a Bayesian algorithm controls the output variable duty cycle and regulates the balancing current to achieve both intra-pack and intergroup balancing.Simulation results show that,compared with traditional equalization based on a Buck-Boost circuit,the equalization time in static and charging modes is reduced by 503 s and 515 s,respectively;equalization efficiency is increased by 65.7% and 66.5%,respectively;and energy transfer efficiency in static mode is improved by 4.4%.Experimental results indicate that when the equalization current is less than 1.5 A,the proposed method achieves equalization in 1110 seconds,a reduction of 616 seconds compared with the fuzzy PID algorithm,thereby demonstrating its superiority.
关 键 词:锂离子电池 PID控制 贝叶斯优化 双层均衡拓扑 Buck-Boost电路
分 类 号:TM911[电气工程—电力电子与电力传动]
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