| 电动汽车锂电池建模及参数辨识方法研究 |
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| 引用本文： | 邵玉龙,李龙,周时国,游祥龙,孙万臣. 电动汽车锂电池建模及参数辨识方法研究[J]. 客车技术与研究, 2022, 44(1): 13-16 |
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| 作者姓名： | 邵玉龙 李龙 周时国 游祥龙 孙万臣 |
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| 作者单位： | 宇通客车股份有限公司,郑州 450000;吉林大学,长春 130022;宇通客车股份有限公司,郑州 450000;吉林大学,长春 130022 |
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| 摘 要： | 介绍多种电池模型及其参数辨识算法,综合考虑辨识复杂程度和精度,提出一种利用一阶RC电路模型、遗忘因子最小二乘优化算法、监控平台电池孪生模型的锂电池建模及参数辨识方法,并进行实车应用验证。结果表明,该方法能够使SOC的估计误差保持在3%以内。
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| 关 键 词： | 电动汽车 锂电池建模 参数辨识 孪生模型 |
Research on Modeling and Parameters Identification Methods for Electric Vehicles Lithium Battery |
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| SHAO Yulong,LI Long,ZHOU Shiguo,YOU Xianglong,SUN Wanchen. Research on Modeling and Parameters Identification Methods for Electric Vehicles Lithium Battery[J]. Bus Technology and Research, 2022, 44(1): 13-16 |
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| Authors: | SHAO Yulong LI Long ZHOU Shiguo YOU Xianglong SUN Wanchen |
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| Affiliation: | (Yutong Bus Co.,Ltd.,Zhengzhou 450000,China;Jilin University,Changchun 130022,China) |
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| Abstract: | The authors introduce varieties of battery models and their parameters identification algorithms.They comprehensively consider the identification complexity and accuracy,propose a method of lithium battery modeling and parameters identification using the first-order RC circuit model,the forgetting factor least square verification optimization algorithm,and the battery twin model on the monitoring platform,and do the real vehicle application verification.The results show that this method can keep the estimation error of SOC within 3%. |
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| Keywords: | electric vehicle lithium battery modeling parameter identification twin model |
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