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电动汽车锂离子动力电池分选方法研究
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Study on Sorting Technology for Lithium-ion Power Battery of Electric Vehicle
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    摘要:

    为了改善电动汽车电池组的不一致性,提高电池组的可用功率和容量利用率,以电池的不一致性机理分析为基础,分别对电池进行了传统分选、主因子分选和总因子分选.单体试验计算结果表明,总因子分选方法是最优的.接着在总因子分选结果的基础上运用模糊C均值聚类算法对电池进行了动态特性分选,试验结果表明:此分选方法能有效地改善电池组的不一致性.

    Abstract:

    In order to improve the consistency for lithium-ion power battery of electric vehicle, to raise the available power and the utilization ratio of capacity for the battery pack, this paper put forward a battery sorting method based on the inconsistency mechanism analysis of battery. Firstly, the traditional sorting method, the main factor sorting method and the total factor sorting method for battery were completed respectively, and the comparative results show that the total factor sorting method is optimal. Secondly, the dynamic characteristics sorting was carried by fuzzy c-means clustering algorithm based on the total factor sorting results. Finally, the sorting effect was verified through experiments and the result shows that this sorting method can improve the inconsistency for battery pack effectively, and has a certain practical significance.

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陈燕虹,吴伟静,刘宏伟, 张振兆.电动汽车锂离子动力电池分选方法研究[J].湖南大学学报:自然科学版,2016,43(10):23~31

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  • 在线发布日期: 2016-10-27
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