Battery SOC Estimation Based on Multi-Model Adaptive Kalman Filter

Abstract:

This paper introduces multi-model adaptive kalman filter estimation algorithm.Based on the battery thevenin model,the multi-model adaptive kalman filter is applied to the battery SOC(state of charge) estimation, which solute the battery SOC estimation in conditions that the battery model parameters change caused by temperature changing. Simulation results show that compared to the single model kalman filter algorithm, Multi-Model adaptive kalman filter algorithm improves the estimation precision and reliability greatly.

• Periodical: Advanced Materials Research (Volumes 403-408)
• Pages: 2211-2215
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.403-408.2211
• Online since: November 2011
• Authors: Ke Xin Wei, Qiao Yan Chen
• Keywords: Electric Vehicle (EV), Kalman Filter (KF), Multi-Model Adaptive Estimation, State of Charge (SOC)

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