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State-of-charge estimation of the lithium-ion battery system with time-varying parameter for hybrid electric vehicles

机译:带有时变参数的混合动力电动汽车锂离子电池系统的荷电状态估计

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This study addresses the state-of-charge (SOC) estimation problem for a lithium-ion battery system with time-varying parameter. Although many methods have been proposed for the SOC estimation, the time-varying parameter problem has not been solved perfectly up to now. In this study, by introducing a novel physical meaning for that the battery terminal current is ℒ2-norm bounded and solving one linear matrix inequality, a robust H filter is proposed for the first time to estimate the SOC of the lithium-ion battery of hybrid electric vehicles. The proposed method is evaluated by the sequence of urban dynamometer driving schedule test. The experimental results show that the filter proposed here is more accurate and reliable than that without considering the time-varying parameter.
机译:这项研究解决了具有时变参数的锂离子电池系统的充电状态(SOC)估计问题。尽管已经提出了许多用于SOC估计的方法,但是时变参数问题到目前为止还没有被完美地解决。在这项研究中,通过引入一种新颖的物理意义,即电池端子电流为ℒ 2 -范数有界,并解决了一个线性矩阵不等式,提出了一种鲁棒的H 滤波器首次估算了混合动力汽车锂离子电池的SOC。通过城市测功机行驶计划测试的顺序对提出的方法进行了评价。实验结果表明,本文提出的滤波器比不考虑时变参数的滤波器更加准确可靠。

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