Title :
Combination Algorithm for State of Charge Estimation
Author :
Bo Zhang ; Changhua Lu ; Jinghan Liu
Author_Institution :
Hefei Univ. of Technol., Hefei, China
Abstract :
When using the Ah counting method to estimate state of charge of battery on electric vehicle, it is difficult to measure the initial SOC, and will bring accumulated errors. In order to solve the above problem, we design an algorithm which integrates the open circuit voltage method (OCV), Kalman filter (KF) and Ah counting method (Ah) in this paper. With the help of Matlab/Simulink platform, a test is designed to simulate the above algorithm, which shows the feasibility and accuracy of the algorithm were better than the Ah counting method alone.
Keywords :
Kalman filters; battery powered vehicles; mathematics computing; secondary cells; Ah counting method; KF; Kalman filter; Matlab/Simulink platform; OCV; SOC; accumulated errors; battery charging; charge estimation; combination algorithm; electric vehicle; open circuit voltage method; Batteries; Battery charge measurement; Electric vehicles; Estimation; Kalman filters; Mathematical model; System-on-chip; Kalman filter (KF); Neural Network; Regression Analysis; Time Series; ampere hour (Ah)jStock Market Forecasting; electric vehicle (EV); open circuit voltage (OCV); state of charge (SOC);
Conference_Titel :
Communication Systems and Network Technologies (CSNT), 2013 International Conference on
Conference_Location :
Gwalior
Print_ISBN :
978-1-4673-5603-9
DOI :
10.1109/CSNT.2013.186
