The Research of Power Battery SOC Estimation Based on Adaptive Kalman Filter Algorithm

Wei Bo Yu; Ting Ting Yang; Cui Yuan Feng; Hong Jun Li

doi:10.4028/www.scientific.net/AMM.433-435.754

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 433-435The Research of Power Battery SOC Estimation Based...

The Research of Power Battery SOC Estimation Based on Adaptive Kalman Filter Algorithm

Abstract:

Taking the lithium iron phosphate power battery as the research object, through analysis on characteristics of the battery, this paper chooses the improved second-order RC model as the model of battery whose complexity is moderate and it can better reflect the battery dynamic and static characteristics. Then by pulse discharge experiments and with improved recursive least squares algorithm to identify model parameters online, and puts forward up the adaptive kalman filtering algorithm to estimate battery SOC. The results show that the adaptive kalman filter algorithm can effectively improve battery SOC estimation precision.

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Periodical:

Applied Mechanics and Materials (Volumes 433-435)

Pages:

754-759

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.433-435.754

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Online since:

October 2013

Authors:

Wei Bo Yu, Ting Ting Yang, Cui Yuan Feng, Hong Jun Li

Keywords:

Adaptive Kalman Filtering Algorithm, Modeling, SOC Estimation

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