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高倍率脉冲放电锂电池的电气参数辨识

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为了实施准确的电池建模和状态估计,需要对电气参数的辨识方法和精度开展对比研究.因此,在综合对比了现阶段常用的3种参数辨识方法的基础上,提出了一种带参数约束的递归最小二乘法,可实现对输出参数的边界约束,从而避免电气参数出现负值的情况,并以预测电压均方差最小为目标输出最优解.利用4种不同算法对实际高倍率脉冲放电样本数据进行了参数辨识和对比分析,结果表明:所提算法辨识的电气参数比其他智能优化算法精度更高,且运算中的时间消耗大大减少.
Electrical parameters identification of high-rate pulse-discharged lithium battery
In order to implement accurate battery modeling and its state estimation,it is necessary to carry out comparative research on the identification method and accuracy of the electrical parameters.Therefore,a constrained recursive least square(CRLS)algorithm was proposed based on the compre-hensive comparison of three parameter identification methods commonly used at present.The pro-posed method can realize the boundary constraint of output parameters so as to avoid the negative va-lue of the electrical parameters,and take the minimum predicted voltage mean square error as the tar-get to obtain the optimal solution.Four different methods were applied to the actual high-rate pulse-discharged sample data,and the parameter identification and comparative analysis,the results show that the electrical parameters identified by CRLS algorithm are more accurate than those by intelligent optimization algorithm,and the time cost is greatly reduced.

high-ratepulse-dischargedparameter identificationelectrical constraint

柳应全、王岩冰、郭赟

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海军工程大学电磁能技术全国重点实验室,武汉 430033

中航蓝海(北京)国际科技有限公司,北京 100176

华中科技大学电气与电子工程学院,武汉 430074

高倍率 脉冲放电 参数辨识 电气约束

国家自然科学基金资助项目国家自然科学基金资助项目国家自然科学基金资助项目

523070769226620292266106

2024

海军工程大学学报
海军工程大学

海军工程大学学报

CSTPCD北大核心
影响因子:0.34
ISSN:1009-3486
年,卷(期):2024.36(5)