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纯电动汽车用锂离子电池的建模和模型参数识别 被引量:24

Li-ion battery modeling and on-line model parameters identification for PEV
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摘要 极化电压是电池状态估算的重要参数,但不能直接测量.采用阻容模型分析,指出极化电压模型阶次与极化深度密切相关,提出一种极化电压的快速识别方法,给出变电流放电情况下电池的去极化时间和容量的计算方法,并采用FUDS模拟工况对新、旧电池和不同厂家的电池进行测试,验证了该方法的有效性和可行性,为电池状态的准确估算提供了数据支持. Polarization voltage is an importance parameter for battery status estimation,whereas,it can't be measured directly.The,resistance-capacitor model is adopted for polarization voltage modeling,a close connection between the order of polarization voltage model and polarization depth is then pointed out,and a fast polarization voltage identification method is proposed in this paper.The calculation method for battery depolarization time and capacity is presented in the condition of changing current discharge.The method's validity and feasibility for new and aged batteries of different manufactories are verified by FUDS simulations.The results provide data support for the estimation of battery status.
出处 《电力科学与技术学报》 CAS 2010年第1期67-74,共8页 Journal of Electric Power Science And Technology
基金 国家高技术研究发展计划("863"计划)(2007AA11A103)
关键词 锂离子电池 数学建模 模型参数识别 去极化 最小二乘法拟合 Li-ion battery mathematics modeling model parameters identification depolarization least-square-method fitting
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