Research on State of Charge Estimation for Power Battery of Electric Vehicle

Chang Fu Zong; Hai Ou Xiang; Lei He; Dong Xue Chen

doi:10.4028/www.scientific.net/AMM.336-338.799

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 336-338Research on State of Charge Estimation for Power...

Research on State of Charge Estimation for Power Battery of Electric Vehicle

Abstract:

An optimized battery state of charge (SOC) estimation method has been proposed in this paper. The method is based on extended Kalman filter (EKF) and combines Ah counting method and open-circuit voltage (OCV) method. According to the current excitation-response of a battery, the internal parameters of the battery model were identified by the method of least squares. Then the proposed estimation method is verified by experiments. The results show that the estimation method can reduce the cumulative error caused by long discharge and it can estimate the battery SOC effectively and accurately.

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Periodical:

Applied Mechanics and Materials (Volumes 336-338)

Pages:

799-803

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.336-338.799

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Online since:

July 2013

Authors:

Chang Fu Zong, Hai Ou Xiang, Lei He, Dong Xue Chen

Keywords:

Electric Vehicle (EV), Extended Kalman Flter (EKF), Parameter Identification, State of Charge (SOC)

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References

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