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Due to their reduced environmental effect and lower operating costs when compared to conventional gasoline-powered vehicles, electric vehicles (EVs) are becoming more and more popular. However, the absence of a thorough charging infrastructure prevents the wide-scale adoption of EVs. Therefore, creating effective and efficient EV chargers is essential for the market's success. A MATLAB-based simulation of an EV charger is described in this project. A power electronic converter, a control algorithm, and a battery management system are all included in the simulation model. In order to charge the EV battery, the converter transforms AC electricity from the grid into DC power. The charging of the battery is made safe and effective by the control algorithm. The battery management system keeps an eye on how fully charged the battery is and guards against either overcharging or undercharging. The simulation model is tested under different scenarios, including varying input voltages and loads, and the performance is evaluated in terms of charging time and efficiency. The simulation results show that the designed charger is capable of charging an EV battery within a reasonable time while maintaining a high level of efficiency. Overall, this project demonstrates the feasibility and effectiveness of using MATLAB to design and simulate an EV charger. The simulation results can be used to optimize the charger's design and improve its performance, leading to the development of more efficient and reliable EV charging systems.
Keywords:
: Electric vehicle, Electrical vehicle supply equipment (EVSE), DC-DC Converter, Lithium battery, transformer, EV charger, car.
Cite Article:
"Designing of electrical vehicle Charger using MATLAB", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 6, page no.717 - 725, June-2023, Available :http://www.ijrti.org/papers/IJRTI2306110.pdf
Downloads:
000205196
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator