151 / 2021-10-28 19:30:16
A Multi-time Scale Joint Online SOC&SOH Estimation Method for Energy Storage System
energy storage,SOC&SOH joint estimation,double extended Kalman filter,multiple time scales
Final Paper
Liu Yunxin / WHU
Zhou Jinhui / State Grid Zhejiang Electric Power Research Institute
Yao Liangzhong / Wuhan University
Chen Chao / State Grid Zhejiang Electric Power Research Institute
Ke Deping / Wuhan University
Siyang Liao / Wuhan University
In order to effectively monitor the operating status and health of the single battery in the distributed energy storage system, timely issue early warning information of failures and provide decision-making basis for operation, inspection and maintenance, a joint online estimation method of single battery SOC(state of charge) and SOH(state of health)  is proposed in this paper. First, the second-order circuit model of battery is used to construct state space model. Second, the constructed battery state space model is discretized, so a multi-time-scale SOC&SOH joint online estimation method based on the combination of a short-time-scale state filter and a longer-time-scale parameter filter is proposed. Finally, the effectiveness of the method proposed in this paper is verified by simulation.
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