304 / 2021-11-09 17:10:50
Research on SOC Estimation of Lithium Battery for Electric Vehicle Based on EKF Algorithm
Electric vehicle, SOC estimation, lithium battery, EKF algorithm
全文被拒
Longzhou Luo / Xi'an Jiaotong University
New energy electric vehicles have significant ad­vantages such as alleviating the shortage of fossil energy and avoiding environmental pollution, and have been vigorously promoted all over the world. Currently, electric vehicles are mainly powered by lithium batteries. Accurate SOC estimation can ensure the safe and efficient operation of electric vehicles, thereby increasing the service life of electric vehicles. In this paper, the second-order RC equivalent circuit model of lithium battery is established and the parameters of the model are identified. Secondly, the principle of EKF algorithm is introduced and applied to lithium battery SOC estimation. Finally, the simulation results indicate that the maximum estimation error of the SOC algorithm in this paper can be controlled within 3.4% under various working conditions, which proves the effectiveness of the SOC estimation algorithm.
重要日期
  • 会议日期

    07月11日

    2023

    08月18日

    2023

  • 11月10日 2021

    初稿截稿日期

  • 12月10日 2021

    注册截止日期

  • 12月11日 2021

    报告提交截止日期

主办单位
IEEE IAS
承办单位
IEEE IAS Student Chapter of Southwest Jiaotong University (SWJTU)
IEEE IAS Student Chapter of Huazhong University of Science and Technology (HUST)
IEEE PELS (Power Electronics Society) Student Chapter of HUST
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