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Research Article

PV-Grid based Electric Vehicle Charging Station with Modified Interleaved Boost Converter

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Pages 277-287 | Received 02 Aug 2021, Accepted 29 Aug 2021, Published online: 17 Sep 2021
 

ABSTRACT

Due to numerous shortcomings of the existing automobiles, the future of transportation lies in Electric Vehicles (EVs). For the sustainable existence of EVs, the development of charging infrastructure based on renewable sources is necessary. Hence, this research article aims to develop a PV–grid topology-based EV charger. An experimental prototype of the EV charging station (EVCS) is developed having a modified interleaved boost converter (MIBC). The proposed charger setup is tested by charging a PV on an EV with a Li-ion battery. The MIBC proposed is analysed and compared with the conventional boost converter, which is also based on PV-grid topology. The testing verifies that the current ripples, conduction and switching losses are reduced significantly. The results conclude that the prototype charger developed is robust, efficient and reliable.

Acknowledgements

The authors would like to thank Enovation Lab LLP incubated at NITTTR Chandigarh for their technical support in designing the EV charger.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Renu Verma

Renu Verma received a Bachelor’s degree in electrical engineering from Uttar Pradesh Technical University, India, in 2012 and a Master’s degree in Instrumentation and Control Engineering from the National Institute of Technical Teacher’s Training and Research, Chandigarh, India, in 2018.

During her Master’s degree, she has worked on a prototype of the design of a boost converter for PV- Grid tied electric vehicle charging station. Her research interests include PV systems, IBC topologies, power drives and power electronic converters. Since 2019, she is working in the department of Electronics & Tele-communication engineering, Dhole Patil College of Engineering, Pune, India.

Arshdeep Singh

Arshdeep Singh received the Bachelor’s degree in electrical and electronics engineering from Panjab University, Chandigarh, India, in 2014, and the Master’s degree in instrumentation and control engineering from National Institute of Technical Teacher’s Training and Research, Chandigarh, India, in 2018.

During his Master’s degree, he has worked on designing a prototype of a PV-grid EV charger. His research interests include PV systems, EV charging topologies, power drives and power electronic converters. Since 2018, he is working as faculty in the department of electrical and electronics engineering, Panjab University, Chandigarh.

Anurag Choudhary

Anurag Choudhary was graduated in Electrical and Electronics Engineering from Uttrachkhand Technical University, Dehradun, India in 2015 and a Master Degree in Instrumentation and Control from the National Institute of Technical Teacher Training and Research (NITTTR), Chandigarh, India. He is currently pursuing his PhD with the School of Interdisciplinary Research (SIRe), IIT Delhi, India. He has 3 years of experience, 1-year of teaching and 2 years’ research and development. He is a student member of IEEE (USA) and the International Engineers’ Association, Hong Kong. He has more than 18 Research Articles to his credit. His areas of specialisation are Electric Vehicle Diagnostic, Condition Monitoring, Machine Fault Diagnosis, Vibration Monitoring, Infrared Thermography and Machine Learning.

Shimi Sudha Letha

Shimi Sudha Letha is presently doing her postdoctoral research at Luleå University of Technology, Skellefteå, Sweden. She was working as Assistant Professor, Electrical Engineering Department, NITTTR, Chandigarh, India and have 16 years of teaching and research experience. She earned her PhD degree from PEC University of Technology, Chandigarh, India and her Master of Power Electronics and Drives from Saranathan College of Engineering, Trichy affiliated to Anna University, Chennai, Tamil Nadu, India. Her areas of specialisation are Power Electronics and Drives, Power quality, AI and optimisation and Electric Vehicles.

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