摘要
研究了温度对锂电池参数的影响,并提出了考虑容量损失的荷电状态(SOC)估算方法。首先,基于不同温度下锂电池混合脉冲功率特性试验(HPPC),建立了一种考虑温度影响的改进等效电路模型;然后,通过充放电试验得出了不同温度、不同电流倍率下锂电池的容量系数,进而提出了一种考虑容量损失的SOC计算公式;最后,利用无迹卡尔曼滤波(UKF)算法对锂电池SOC进行在线估算。验证试验结果表明,改进后的SOC估算方法与以往算法相比具有更高的精度。
It investigates the influent of temperature on the parameters of lithium-ion battery,and proposes a novel state-of-charge(SOC)estimation method considering the capacity degradation.First,an improved equivalent circuit model considering the temperature effect was established based on the hybrid pulse power characteristic(HPPC)tests.Next,the capacity factors of the battery at different temperatures and current rates were obtained through the charge-discharge tests,and then an enhanced SOC calculation formula was proposed.Finally,the unscented Kalman filter(UKF)algorithm was used to estimate SOC.Results of the verification tests indicated that our methods has higher accuracy that the usually used methods.
作者
高原
黄荣杰
秦东晨
王婷婷
GAO Yuan;HUANG Rong-jie;QIN Dong-chen;WANG Ting-ting(School of Mechanical and Power Engineering,Zhengzhou University,He'nan Zhengzhou 450001,China;College of Mechanical and Electrical Engineering,Zhengzhou University of Light Industry,He'nan Zhengzhou 450001,China)
出处
《机械设计与制造》
北大核心
2023年第5期221-225,共5页
Machinery Design & Manufacture
基金
国家重点研发计划子课题—整车轻量化关键技术研究(2018YFB0106204-03)。
关键词
锂电池
温度
容量损失
等效电路模型
荷电状态
无迹卡尔曼滤波
Lithiumion Battery
Temperature
Capacity Degradation
Equivalent Circuit Model
State-of-Charge
Unscented Kalman Filter
