SOC Estimation with Extended KalmanFilter Based on Fuzzy Control

Authors

Fang Lei, Beijing Information Science & Technology University, Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing100192, China;
Chen Yong, Beijing Information Science & Technology University, Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing100192, China;
Zhao Li, Beijing Information Science & Technology University, Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing100192, China;
Kangsheng Yin, Beijing Information Science & Technology University, Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing100192, China;
Zheng Yang, Beijing Information Science & Technology University, Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing100192, China;

Abstract

Abstract: Many factors affect battery’s state of charge (SOC), such as temperature, charge/discharge rate, cycle life and so on.Extended Kalman filter (EKF) iscommonly used to estimate battery’s SOC.The observation equation’s error affects the accuracy of battery’s SOC estimationusing traditional EKF.Considering the effects of temperature and charge/discharge rateon the observation equation’s error, an SOC estimation method using EKF based on fuzzy controlis presented.Mamdani type fuzzy controller is establishedwiththe proposed method, in which temperature and charge/discharge rateare selected as thecontroller’sinput, and the observation matrix’s correction coefficient isused as thecontroller’s output to improvethe filtering process in real time.The simulationresults show that the proposed methodcan reduce the errorscoming fromthe observation equation and improve the accuracy of SOC estimation.It also has strong adaptability in practical workingcondition.

Recommended Citation

Lei, Fang; Yong, Chen; Li, Zhao; Yin, Kangsheng; and Yang, Zheng (2019) "SOC Estimation with Extended KalmanFilter Based on Fuzzy Control," Journal of System Simulation: Vol. 30: Iss. 1, Article 43.
DOI: 10.16182/j.issn1004731x.joss.201801043
Available at: https://dc-china-simulation.researchcommons.org/journal/vol30/iss1/43

First Page

325

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201801043

Last Page

331

CLC

TM912

Recommended Citation

Fang Lei, Chen Yong, Zhao Li, Yin Kangsheng, Zheng Yang. SOC Estimation with Extended KalmanFilter Based on Fuzzy Control[J]. Journal of System Simulation, 2018, 30(1): 325-331.

DOI

10.16182/j.issn1004731x.joss.201801043