Open Access
Direct Power Conversion Battery Charger for Low Electric Vehicles
Author(s) -
P.K Banushya*,
C. Govindaraju
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.f3834.049620
Subject(s) - power factor , battery charger , electrical engineering , transformer , matlab , battery (electricity) , series and parallel circuits , power (physics) , rectifier (neural networks) , diode , ac power , engineering , computer science , automotive engineering , electronic engineering , voltage , physics , stochastic neural network , quantum mechanics , machine learning , recurrent neural network , artificial neural network , operating system
This paper presents a new battery charger for low power electric vehicles with high power factor and Efficiency. The main objective of the proposed design is to reduce the conduction losses and Reverse Recovery Problem in power diodes. To eliminate both the issues, the diode rectifier is present in primary and secondary side of the transformer an series resonance circuit added. By using the series resonance circuit, Zero Current Switching (ZCS) possible and also alleviates the reverse recovery problem. Thus the proposed new battery charger operates with high power factor and high efficiency. Additionally, by using the present single power conversion, it is easy to install the on-board charger in the EVs. After the theoretical analysis, Simulation Results are obtained on MATLAB/Simulink environment and Hardware results are from the proposed model.