DocumentCode :
3564695
Title :
Modeling and Simulation of a Lead-Acid Battery Packs in MATLAB/Simulink: Parameters Identification Using Extended Kalman Filter Algorithm
Author :
Yamin, Rami ; Rachid, Ahmed
Author_Institution :
Lab. des Technol. Innovantes, Univ. of Picardie Jules Verne, Amiens, France
fYear :
2014
Firstpage :
363
Lastpage :
368
Abstract :
This paper proposes a simulation results of a mathematical model of a lead-acid batteries, derived of the equivalent electric circuit. The model has been developed in MATLAB/Simulink. This ameliorated Thevenin battery model conceders the hysteresis phenomena effects on battery cells behaviour. A method based on Extended Kalman Filter (EKF) was designed to estimate the model´s parameters. Next, an automated test bench was set up to identify the parameter of the model and experimentally verify the theoretical analysis and simulation. Finally, the simulation results are compared to the real measurements, obtained by a real time test on an electric scooter (two wheels electric vehicle), witch was driven in a circuit of 15km in the downtown of Amiens city, in France. The mathematical model proposed in this paper is a modified Thevenin model. It is derived of the electric equivalent circuit of the battery. A model witch should be accurate enough to avoid the batteries damage and should be simple to be easy to implement, thereafter, in an embedded circuit based on a micro-controller.
Keywords :
Kalman filters; battery powered vehicles; lead acid batteries; motorcycles; nonlinear filters; parameter estimation; power engineering computing; Amiens city; EKF; France; MATLAB; Simulink; Thevenin battery model; battery cells behaviour; electric scooter; embedded circuit; equivalent electric circuit; extended Kalman filter algorithm; hysteresis phenomena effects; lead-acid battery packs; microcontroller; parameters identification; two wheels electric vehicle; Computational modeling; Computers; Battery; Extended Kalman Filter (EKF); Lead-acid battery; MATLAB/Simulink; State Of Charge (SOC); electric vehicle; estimation; identification; relaxation voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Modelling and Simulation (UKSim), 2014 UKSim-AMSS 16th International Conference on
Print_ISBN :
978-1-4799-4923-6
Type :
conf
DOI :
10.1109/UKSim.2014.68
Filename :
7046093
Link To Document :
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