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
Draft Rejected
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.
Important Date
  • Conference Date

    Jul 11

    2023

    to

    Aug 18

    2023

  • Nov 10 2021

    Draft paper submission deadline

  • Dec 10 2021

    Registration deadline

  • Dec 11 2021

    Contribution Submission Deadline

Sponsored By
IEEE IAS
Organized By
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