Adaptive Kalman filter based state of charge estimation algorithm for lithium-ion battery

2015 ◽  
Vol 24 (9) ◽  
pp. 098801 ◽  
Author(s):  
Hong Zheng ◽  
Xu Liu ◽  
Min Wei
Keyword(s):  
Kalman Filter ◽  
Lithium Ion Battery ◽  
Lithium Ion ◽  
Estimation Algorithm ◽  
State Of Charge ◽  
Adaptive Kalman Filter ◽  
State Of Charge Estimation

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

2012 ◽  
Vol 605-607 ◽  
pp. 1939-1943
Author(s):  
Chen Zhao ◽  
Xi Kun Chen
Keyword(s):  
Kalman Filter ◽  
Lithium Ion Battery ◽  
Lithium Ion ◽  
Estimation Algorithm ◽  
State Of Charge ◽  
Voltage Response ◽  
Integrated Method ◽  
Soc Estimation ◽  
Terminal Voltage ◽  
State Of Charge Estimation

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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