自适应渐消并行扩展H_(∞)滤波SoC估计  

State of charge estimation of adaptive fading parallel extendedH-infinity filter

作　　者：钱伟[1,2] 王亚丰 郭向伟 赵大中 QIAN Wei;WANG Yafeng;GUO Xiangwei;ZHAO Dazhong(School of Electrical Engineering and Automation,Henan Polytechnic University,Jiaozuo 454003,China;Henan Key Laboratory of Intelligent Detection and Control of Coal Mine Equipment,Jiaozuo 454003,China)

机构地区：[1]河南理工大学电气工程与自动化学院,河南焦作454003 [2]河南省煤矿装备智能检测与控制重点实验室,河南焦作454003

出　　处：《电机与控制学报》2025年第2期136-145,共10页Electric Machines and Control

基　　金：国家自然科学基金(62373137);河南理工大学青年骨干教师资助计划(2023XQG-04)。

摘　　要：锂电池荷电状态(SoC)的高精度估算是新能源电动汽车能量管理及稳定运行的重要依据。针对SoC估计,提出一种自适应渐消并行扩展H_(∞)滤波(AFPE_HIF)估计方法。首先,建立双极化(DP)等效电路模型;其次,建立自适应渐消扩展H_(∞)滤波(AFE_HIF)算法。通过设计新型衰减因子对误差协方差自适应更新,降低旧数据对SoC估计的影响,提高传统扩展H_(∞)滤波(E_HIF)的跟踪速度及估计精度;最后,基于并行运算的思想,提出AFPE_HIF算法,减小自适应渐消扩展H_(∞)滤波算法的运算量。实验结果表明,本文所提AFPE_HIF算法平均绝对误差为0.449 9%,均方根误差为0.710 3%,相比于传统EKF、E_HIF及同类型改进H_(∞)滤波算法具有更高的估计精度和鲁棒性。High-precision estimation of the state of charge(SoC)of lithium batteries is an important basis for energy management and stable operation of new energy vehicles.Aiming at SoC estimation,an adaptive fading parallel extended H-infinity filter(AFPE_HIF)was proposed.Firstly,a dual polarization(DP)equivalent circuit model was established.Secondly,an adaptive fading extended H-infinity filter(AFE_HIF)algorithm is established.By designing a new type of adaptive fading factor to update the error covariance matrix,the influence of the outdated measurement on the SoC estimation was reduced and the tracking speed and estimation accuracy of the traditional extended H-infinity filter(E_HIF)were improved.Finally,based on the idea of parallel operation,AFPE_HIF was proposed to reduce the computational load of the adaptive fading extended H-infinity filter.The experimental results show that the average absolute error of the proposed AFPE_HIF algorithm is 0.4499%,and the root mean square error is 0.7103%.Compared with the traditional EKF,E_HIF and the same type of improved H-infinity filter algorithms,it has higher estimation accuracy and robustness.

关 键 词：锂电池 荷电状态 双极化模型 衰减因子 自适应渐消扩展H_(∞)滤波 并行运算 

分 类 号：TM912.8[电气工程—电力电子与电力传动]