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Integration of sampling based battery state of health estimation method in electric vehicles

机译:基于采样的电动汽车电池健康状态估计方法的集成

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Battery cost is one of the crucial parameters affecting high deployment of Electric Vehicles (EVs) negatively. Accurate State of Health (SoH) estimation plays an important role in reducing the total ownership cost, availability, and safety of the battery avoiding early disposal of the batteries and decreasing unexpected failures. A circuit design for SoH estimation in a battery system that bases on selected battery cells and its integration to EVs are presented in this paper. A prototype microcontroller has been developed and used for accelerated aging tests for a battery system. The data collected in the lab tests have been utilized to simulate a real EV battery system. Results of accelerated aging tests and simulation have been presented in the paper. The paper also discusses identification of the best number of battery cells to be selected for SoH estimation test. In addition, different application options of the presented approach for EV batteries have been discussed in the paper. (C) 2016 Elsevier Ltd. All rights reserved.
机译:电池成本是负面影响电动汽车(EV)高度部署的关键参数之一。准确的健康状态(SoH)估计在降低电池的总拥有成本,可用性和安全性,避免电池的早期处置并减少意外故障方面起着重要作用。本文介绍了一种基于所选电池单元的电池系统SoH估算电路设计,并将其集成到EV中。已经开发出原型微控制器,并将其用于电池系统的加速老化测试。在实验室测试中收集的数据已被用于模拟真实的电动汽车电池系统。本文已经给出了加速老化测试和模拟的结果。本文还讨论了确定用于SoH估计测试的最佳电池单元数量的识别方法。此外,本文还讨论了所提出的电动汽车电池方法的不同应用选项。 (C)2016 Elsevier Ltd.保留所有权利。

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