基于改进无迹卡尔曼滤波的锂电池荷电状态估计  

State of Charge Estimation of Lithium Battery Based on Improved Unscented Kalman filter

作　　者：沈浩然 刘振兴[1] 邵丽源 何心 郑宇锋[4] 刘智伟[3] 张永[1] SHEN Haoran;LIU Zhenxing;SHAO Liyuan;HE Xin;ZHENG Yufeng;LIU Zhiwei;ZHANG Yong(School of Information Science and Engineering,Wuhan University of Science and Technology,Wuhan 430081,China;School of Mechanical Science and Engineering,Huazhong University of Science and Technology,Wuhan 430074,China;School of Artificial Intelligence and Automation,Huazhong University of Science and Technology,Wuhan 430074,China;National Key Laboratory for Vessel Integrated Power System Technology,Naval University of Engineering,Wuhan 430033,China)

机构地区：[1]武汉科技大学信息科学与工程学院,湖北武汉430081 [2]华中科技大学机械科学与工程学院,湖北武汉430074 [3]华中科技大学人工智能与自动化学院,湖北武汉430074 [4]海军工程大学舰船综合电力技术国防科技重点实验室,湖北武汉430033

出　　处：《控制工程》2023年第12期2217-2225,共9页Control Engineering of China

基　　金：国家自然科学基金资助项目(51877214);博士后特别资助项目(2019T120972)。

摘　　要：锂电池是一种广泛应用的能源器件,高效的荷电状态估计是锂电池安全管理的基础。为了提高荷电状态估计的精度,提出了一种联合估计方法。首先,采用递归限制总体最小二乘法辨识模型参数,解决了传统递推最小二乘法存在辨识偏差导致准确性降低的问题;接着,提出了基于权重优化的无迹卡尔曼滤波算法,提高了荷电状态估计的精度;最后,引入北京公交动态压力测试工况的仿真实例对锂电池放电状态进行建模,并通过与3种先进方法进行比较,验证了所提方法在精度和收敛速度方面的优越性。Lithium battery is a widely used energy device,and efficient state of charge estimation is the basis of lithium battery safety management.In order to improve the accuracy of state of charge estimation,a joint estimation method is proposed.Firstly,the recursive restricted total least squares method is used to identify the model parameters,which solves the problem that the traditional recursive least squares method has the reduced accuracy of identification bias.Then,an unscented Kalman filter algorithm based on weight optimization is proposed to improve the accuracy of state of charge estimation.Finally,the simulation of Beijing bus dynamic pressure test condition is introduced to model the discharge state of lithium battery,and the superiority of this method in accuracy and convergence speed is verified by comparing with three advanced methods.

关 键 词：锂电池 权重优化的无迹卡尔曼滤波 荷电状态估计 递归限制总体最小二乘法 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]