基于ESP模型与改进强跟踪滤波器的SOC估计  

SOC Estimation Based on Enhanced Single Particle Model and Improved Strong Tracking Filter

作　　者：何嘉劲 鲍欢欢 杨科 邓昕晨 陈之豪 HE Jiajin;BAO Huanhuan;YANG Ke;DENG Xinchen;CHEN Zhihao(China Automotive Engineering Research Institute Co.,Ltd.,Chongqing 401122)

机构地区：[1]中国汽车工程研究院股份有限公司,重庆401122

出　　处：《软件》2024年第12期68-70,共3页Software

基　　金：基于多场多尺度耦合模型的动力电池仿真软件开发与应用(0001KTSJ20231641)(第一项目资助)。

摘　　要：本文根据电化学理论,在考虑液相电势对电池内部电化学反应影响的情况下,建立了ESP模型。同时,对强跟踪滤波器内时变渐消系数进行改进,提出了一种适用于多维状态方程情况的改进强跟踪滤波器。结合ESP模型与改进强跟踪滤波器进行SOC估计,在动态工况下的估计精度为1.51%,具有较高的精度与较强的鲁棒性。This article establishes an ESP model based on electrochemical theory,considering the influence of liquid-phase potential on the internal electrochemical reactions of the battery.At the same time,an improved strong tracking filter suitable for multidimensional state equation situations was proposed by improving the time-varying fading coefficients within the strong tracking filter.Combining the ESP model with an improved strong tracking filter for SOC estimation,the estimation accuracy under dynamic conditions is 1.51%,which has high accuracy and strong robustness.

关 键 词：ESP模型 改进强跟踪滤波器 荷电状态估计 

分 类 号：TN713[电子电信—电路与系统]