Study on Battery Management System Design of Electric Vehicle and Strategy of the SOC Estimation

Zhong An Yu; Jun Peng Jian

doi:10.4028/www.scientific.net/AMR.945-949.1500

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 945-949Study on Battery Management System Design of...

Study on Battery Management System Design of Electric Vehicle and Strategy of the SOC Estimation

Abstract:

In order to improve the efficiency and service life of Lithium batteries for electric vehicle. A structure diagram of battery management system with the digital signal processor as the main controller was designed; in addition, some design modules were expatiated clearly, including the sample circuits of the batterys voltage, current and equalization circuit. The state-space representation of the battery model was established based on Thevenin battery model and extended Kalman filter (EKF) algorithm.According to the estimates and performance characteristics of battery, a new improved-way by amending the Kalman filter gain with the actual situation for raised the SOC estimation accuracy was proposed. The simulation and test results under the condition of simulated driving show that this new way really can increase the SOC accuracy; the equalization scheme can effectively compensate the performance inconsistency of battery pack.

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Periodical:

Advanced Materials Research (Volumes 945-949)

Pages:

1500-1506

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.945-949.1500

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Online since:

June 2014

Authors:

Zhong An Yu, Jun Peng Jian

Keywords:

Equalization, Extended Kalman Flter (EKF), Improved-Extended Kalman Filter, Lithium Batteries, Management System, SOC Estimation

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