Electric Vehicle Battery SOC Estimation Based on EKF

Hui Bao; Wei Jiang; Dan Wei

doi:10.4028/www.scientific.net/AMR.926-930.927

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 926-930Electric Vehicle Battery SOC Estimation Based on...

Electric Vehicle Battery SOC Estimation Based on EKF

Abstract:

In order to estimate the battery state of charge (SOC) accurately, an improved Thevenin model of a battery is established, its mathematical relation is very simple, and also it is easy to realize. In addition, we identify the model parameters, and then use extended Calman filter algorithm to estimate the battery state of charge. The simulation results show that, this model can well reflect the dynamic and static characteristics of a battery, and the Calman algorithm can keep good accuracy in the estimation process.

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Periodical:

Advanced Materials Research (Volumes 926-930)

Pages:

927-931

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.926-930.927

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Online since:

May 2014

Authors:

Hui Bao, Wei Jiang, Dan Wei

Keywords:

Calman, EKF, Parameter Identification, Thevenin Model

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