Revisiting the dual extended Kalman filter for battery state-of-charge and state-of-health estimation: A use-case life cycle analysis

2018 ◽  
Vol 19 ◽  
pp. 73-87 ◽  
Author(s):  
Nikolaos Wassiliadis ◽  
Jörn Adermann ◽  
Alexander Frericks ◽  
Mikhail Pak ◽  
Christoph Reiter ◽  
...  
Keyword(s):  
Kalman Filter ◽  
Life Cycle ◽  
Extended Kalman Filter ◽  
Life Cycle Analysis ◽  
State Of Charge ◽  
Use Case ◽  
State Of Health ◽  
Battery State Of Charge

The State of Charge Estimation of Lithium Battery in Electric Vehicle Based on Extended Kalman Filter

2014 ◽  
Vol 953-954 ◽  
pp. 796-799
Author(s):  
Huan Huan Sun ◽  
Jun Bi ◽  
Sai Shao
Keyword(s):  
Kalman Filter ◽  
Electric Vehicle ◽  
Extended Kalman Filter ◽  
Nonlinear Problems ◽  
Least Square Method ◽  
State Equation ◽  
State Of Charge ◽  
Least Square ◽  
Accurate Estimation ◽  
Battery State Of Charge

Accurate estimation of battery state of charge (SOC) is important to ensure operation of electric vehicle. Since a nonlinear feature exists in battery system and extended kalman filter algorithm performs well in solving nonlinear problems, the paper proposes an EKF-based method for estimating SOC. In order to obtain the accurate estimation of SOC, this paper is based on composite battery model that is a combination of three battery models. The parameters are identified using the least square method. Then a state equation and an output equation are identified. All experimental data are collected from operating EV in Beijing. The results of the experiment show  that the relative error of estimation of state of charge is reasonable, which proves this method has good estimation performance.

Power battery state of charge estimation based on extended Kalman filter

2019 ◽  
Vol 11 (1) ◽  
pp. 014302 ◽  
Author(s):  
Qi Wang ◽  
Xiaoyi Feng ◽  
Bo Zhang ◽  
Tian Gao ◽  
Yan Yang
Keyword(s):  
Kalman Filter ◽  
Extended Kalman Filter ◽  
State Of Charge ◽  
Power Battery ◽  
Battery State Of Charge ◽  
State Of Charge Estimation

scholarly journals Estimating Lithium-Ion Battery State of Charge and Parameters Using a Continuous-Discrete Extended Kalman Filter

Energies ◽  
2017 ◽  
Vol 10 (8) ◽  
pp. 1075 ◽  
Author(s):  
Yasser Diab ◽  
François Auger ◽  
Emmanuel Schaeffer ◽  
Moutassem Wahbeh
Keyword(s):  
Kalman Filter ◽  
Lithium Ion Battery ◽  
Extended Kalman Filter ◽  
Lithium Ion ◽  
State Of Charge ◽  
Battery State Of Charge
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