电动汽车锂电池建模仿真及SOC估计研究  

Investigation of Li-Lon Battery Model and SOC Estimation Algorithmfor Electric Vehicle

作　　者：秦东晨[1] 张东明 王婷婷[1] 李建杰 QIN Dong-chen;ZHANG Dong-ming;WANG Ting-ting;LI Jian-jie(School of Mechanical Engineering,Zhengzhou University,He’nan Zhengzhou 450001,China)

机构地区：[1]郑州大学机械工程学院,河南郑州450001

出　　处：《机械设计与制造》2021年第2期164-168,共5页Machinery Design & Manufacture

基　　金：国家自然科学基金(51705468);国家重点研发计划子课题:整车轻量化关键技术研(2018YFB0106204-03)。

摘　　要：为了提高电动汽车用动力锂电池模型精度及荷电状态(SOC)估算精度,以PNGV等效电路模型架构为基础进行模型改进,考虑SOC估算精度主要受充放电倍率、温度及电池容量变化等的影响,结合改进模型及扩展卡尔曼滤波算法(EKF),对SOC估算输入参数进行加权修正处理,并在Matlab/Simulink中建立仿真模型。实验和仿真对比表明,改进模型能够较好地模拟电池充放电特性,与改进EKF算法的结合对SOC的估算精度较高,可将模型与算法进一步应用于电动汽车电池管理系统的研究中。In order to improve the accuracy of battery model and the estimation of SOC,the PNGV model was improved,the factors of charge and discharge rate,temperature and battery capacity change were considered.Based on the improved model and Extended Kalman Filter(EKF),the input parameters of SOC estimation were amended,and then build the simulation model in Matlab/Simulink.After the experiments and simulations,result show that the improved model meets the charging and discharging characteristics of the battery,and has a high estimation accuracy for SOC with the improved algorithm,and can be applied furtherly research of BMS.

关 键 词：电动汽车 改进PNGV模型 改进EKF SOC估计 MATLAB/SIMULINK 

分 类 号：TH16[机械工程—机械制造及自动化] U469.7[机械工程—车辆工程]