NiMH Battery Characterization and State-of-Charge Estimation for HEV Applications
NiMH Battery Characterization and State-of-Charge Estimation for HEV Applications
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HEV 应用的镍氢电池表征和充电状态估计
DOI：
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发表时间：
2007
期刊：
影响因子：
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通讯作者：
G. Rizzoni
中科院分区：
文献类型：
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作者：
Raffaele Bornatico;A. Storti;Leonardo Mandrioli;Annalisa Zappavigna;Y. Guezennec;G. Rizzoni
混合动力电动汽车（HEV）应用中有效能源管理的最重要挑战之一是正确估计电池荷电状态（SoC）的能力。由于复杂性和非线性，以及不可避免地存在机载测量误差，实时完成这项任务特别困难。本文的目的是开发一个镍氢电池模型，占相关的动态混合动力汽车应用。一系列详细的实验允许进行系统识别，以便设计电池的等效电路模型，其中电容器负责电压弛豫，而电阻器模拟所有形式的能量损失。然后将实验结果与模型预测进行比较，导致方差限制在3.5%以下。最后，验证的模型被倒置，作为一个主要组成部分的建议SoC估计，其性能是关键的相关性的有效性的混合动力汽车。实际车辆运行期间的结果显示描绘成功的应用。版权所有© 2007由ASME
One of the most important challenges for effective energy management in Hybrid Electric Vehicles (HEVs) applications is the capability of correctly estimate the batteries State of Charge (SoC). This task is particularly arduous to accomplish in real-time, due to the complexity and nonlinearities, as well as the inevitable presence of on-board measurements errors. The objective of this paper is to develop a NiMH battery model which accounts for the relevant dynamics related to HEV applications. A detailed series of experiments allowed for system identification to be performed in order to design an equivalent electrical circuit model of the battery, where capacitors take care of voltage relaxations, while resistors model all forms of energy losses. Experimental results are then compared with model prediction, resulting in variances limited to less than 3.5%. Finally, the validated model was inverted to serve as a main component of a proposed SoC estimator, whose performance is of key relevance for effectiveness of HEVs. Results during actual vehicle operations are shown delineating a successful application.Copyright © 2007 by ASME