Open AccessA significant energy management control strategy for a hybrid source EV
Author(s) -
A. Geetha,
C. Subramani
Publication year - 2019
Publication title -
international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.277
H-Index - 22
ISSN - 2088-8708
DOI - 10.11591/ijece.v9i6.pp4580-4585
Subject(s) - particle swarm optimization , matlab , supercapacitor , computer science , battery (electricity) , energy management , driving cycle , automotive engineering , electric vehicle , energy (signal processing) , algorithm , engineering , mathematics , power (physics) , physics , statistics , electrode , quantum mechanics , electrochemistry , operating system
The conceptualization of Electric vehicles has been significant in solving the pollution due to the transportation problem. However, its design and working has not yet been perfected and can be optimized. An effective model of the electric vehicle is the integration of batteries and supercapacitors. In this paper, the optimal sharing of energy between the battery and the supercapacitor is provided by the Particle Swarm Optimization (PSO). The results reveal that the proposed algorithm can better share the energy between the hybrid sources. The simulations are carried out in MATLAB Simulink platform and the results obtained for ECE-15 driving cycle is presented.