EKF-Based a Novel SOC Estimation Algorithm of Lithium-ion Battery

نویسندگان

  • Xuanju Dang
  • Bo Chen
  • Hui Jiang
  • Xiangwen Zhang
  • Kai Xu
چکیده

State of charge (SOC) is an essential parameter for battery management system (BMS). Accurate estimation of SOC ensures battery work within a reasonable range, which can prevent over-charge or overdischarge damage to extend battery life. The third-order RC equivalent circuit model is established to describe the characteristics of battery, in which the parameters can be identified by the discharge experiment. For the multiple state variables, strong coupling, stochastic noise, and wild values in the battery system, the principle of superposition is used to decompose the measurement equation so that the separately estimating for state variables to eliminate the coupling relationship between them. A novel SOC estimation method based on Extended Kalman Filtering (EKF) is proposed in this paper. The simulation and experimental results show the validity of the established third-order RC equivalent circuit model, SOC estimation has a high accuracy. Copyright © 2013 IFSA.

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تاریخ انتشار 2013