摘要
低温环境下锂离子电池最大可用容量减少,直接影响低温荷电状态(SoC)的估算精度。测试了磷酸铁锂电池在不同温度下的最大可用容量,提出了线性低温容量损失模型和定值低温容量损失模型,分析对比了电池在这2种模型下损失的容量随温度变化的趋势,并基于安时积分法对比了这2种低温容量损失模型对SoC估算的影响。通过MATLAB/Simulink仿真及实车低温充电和放电试验对比了这2种SoC的估算方法。结果表明,线性低温容量损失模型的估算精度较高,整车低温充电试验和低温放电试验的SoC估算误差分别为1.81%和3.64%,且电池静置时SoC不随电池温度变化,更加符合终端客户预期。
The maximum available capacity of lithium-ion battery decreases at low temperatures,which impacts the low-temperature state of charge(SoC)estimation accuracy directly.The maximum available capacities of LiFePO4 battery are tested at different temperatures,a linear low-temperature capacity loss model and a constant low-temperature capacity loss model are proposed to analyze and compare the different trends of capacity losses of batteries with temperature under these two models,and the effects of these two low-temperature capacity loss models on SoC estimation are compared based on the ampere-hour integration method.The two SoC estimation methods are compared by MATLAB/Simulink simulation and real-vehicle low-temperature charging and discharging tests.The results show that the linear low-temperature capacity loss model has higher estimation accuracy,with SoC estimation errors of 1.81%and 3.64%in the vehicle low-temperature charging and low-temperature discharging tests,respectively,and the SoC does not change with the battery temperature when the battery is resting,which is more in line with the expectations of end customers.
作者
李丽珍
王星
向小华
叶源
沈小波
LI Lizhen;WANG Xing;XIANG Xiaohua;YE Yuan;SHEN Xiaobo(Wuxi Hope Microelectronics Co.,Ltd.,Wuhan 430000,China)
出处
《电子与封装》
2025年第2期79-85,共7页
Electronics & Packaging
关键词
锂电池低温容量损失模型
安时积分法
低温荷电状态估算
lithium-ion battery low-temperature capacity loss model
ampere-hour integration
SoC estimation at low temperature
