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Data Analysis and Research of Lithium-Ion Battery Based on Data Mining Technology

Zhi YangJianhua Wu

Institute of Rail Transportation, Jinan University

摘要:With the development of consumer electronics and energy storage systems, the market demand of lithium-ion batteries is rapidly increasing. To improve the application efficiency of lithium-ion battery, it is necessary to investigate the influence of battery parameters on the available capacity of the battery. In this paper, the data mining technology is used to study and analyze the parameter data of lithium-ion battery, aiming at exploring relationships among multi-parameters and capacity in battery charge and discharge processes, and Python language is applied to realize this end. The proposed data mining technology for lithium-ion battery includes the cleaning and discretization of lithium-ion battery data, the correlation analysis of lithium battery parameters using association rule Apriori algorithm, and the visual processing of the relationship between charge and discharge time and battery capacity.
会议名称:

The 2nd International Conference on Artificial Intelligence and Computer Science (AICS 2020)

会议时间:

2020-07-25

会议地点:

中国湖北武汉

  • 专辑:

    工程科技Ⅱ辑; 信息科技

  • 专题:

    电力工业; 计算机软件及计算机应用

  • DOI:

    10.26914/c.cnkihy.2020.029096

  • 分类号:

    TM912;TP311.13

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