面向SOC估计的计及温度和循环次数的锂离子电池组合模型

被引：30

作者：

刘征宇 ^{[1
,2
]}

朱诚诚 ^{[1
]}

尤勇 ^{[1
]}

姚利阳 ^{[1
]}

机构：

[1] 合肥工业大学机械工程学院

[2] 工业安全与应急技术安徽省重点实验室

来源：

仪器仪表学报 | 2019年 / 40卷 / 11期

基金：

安徽省自然科学基金;

关键词：

锂离子电池; 组合模型; 循环次数; 电池荷电状态; 扩展卡尔曼滤波;

D O I：

10.19650/j.cnki.cjsi.J1905292

中图分类号：

TM912 [蓄电池];

学科分类号：

080802 [电力系统及其自动化];

摘要：

锂离子电池荷电状态(SOC)估计的准确性依赖于精确的电池模型,为此提出一种基于改进的Shepherd模型并耦合温度和循环次数因素的锂离子电池组合模型(SCM)。将Shepherd模型受温度和循环次数影响的满电开路电压、极化常数、可用容量、内阻等参数进行热建模和循环损失建模,同时将模型参数辨识方法简化为仅需两组不同环境温度下放电实验数据的非线性最小二乘法。通过对不同循环次数的锂离子电池在不同温度环境下模拟电动汽车实际工况,进行放电实验,并结合扩展卡尔曼滤波算法实现对SCM模型和ECM模型的SOC动态估计。仿真和实验结果表明所提模型相对误差小于1.5%,SOC估计误差小于3%,从而验证了所提出模型的优越性。

引用

页码：117 / 127

页数：11

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