Application of Kalman Filter in SOC Estimation of Power Lithium-Ion Battery

Chen Zhao; Xi Kun Chen

doi:10.4028/www.scientific.net/AMR.605-607.1939

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 605-607Application of Kalman Filter in SOC Estimation of...

Application of Kalman Filter in SOC Estimation of Power Lithium-Ion Battery

Abstract:

This paper analyses the application of Kalman Filter (KF) in Power Lithium-ion Battery SOC (State of Charge) estimation algorithm. After the analysis of two popular SOC estimate algorithm based on KF, an improved KF-SOC algorithm is proposed. The main advance of this improved algorithm is the introduction of parameter-rectification. The parameter-rectification which based on analysis of battery electrochemical principle and battery terminal voltage response curve is also achieved by KF. The main algorithm of improved KF-SOC is generated by the combination of KF and Ampere-hour integrated method. Later the simulations proved the new algorithm with high accuracy.

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Periodical:

Advanced Materials Research (Volumes 605-607)

Pages:

1939-1943

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.605-607.1939

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Online since:

December 2012

Authors:

Chen Zhao, Xi Kun Chen

Keywords:

Kalman Filter (KF), Power Lithium-Ion Battery, State of Charge Estimation Algorithm

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