Advancing Electric Vehicle Infrastructure: A Review and Exploration of Battery-Assisted DC Fast Charging Stations

Ahmet Aksoz (), Burçak Asal, Emre Biçer, Saadin Oyucu, Merve Gençtürk and Saeed Golestan ()
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Ahmet Aksoz: MOBILERS Team, Sivas Cumhuriyet University, 58350 Sivas, Türkiye
Burçak Asal: Department of Computer Engineering, Hacettepe University, 06800 Ankara, Türkiye
Emre Biçer: Battery Research Laboratory, Faculty of Engineering and Natural Sciences, Sivas University of Science and Technology, 58010 Sivas, Türkiye
Saadin Oyucu: Department of Computer Engineering, Faculty of Engineering, Adıyaman University, 02040 Adıyaman, Türkiye
Merve Gençtürk: Battery Research Laboratory, Faculty of Engineering and Natural Sciences, Sivas University of Science and Technology, 58010 Sivas, Türkiye
Saeed Golestan: AAU Energy, Aalborg University, 9220 Aalborg, Denmark

Energies, 2024, vol. 17, issue 13, 1-23

Abstract: Concerns over fossil fuel depletion, fluctuating fuel prices, and CO 2 emissions have accelerated the development of electric vehicle (EV) technologies. This article reviews advancements in EV fast charging technology and explores the development of battery-assisted DC fast charging stations to address the limitations of traditional chargers. Our proposed approach integrates battery storage, allowing chargers to operate independently of the electric grid by storing electrical energy during off-peak hours and releasing it during peak times. This reduces dependence on grid power and enhances grid stability. Moreover, the transformer-less, modular design of the proposed solution offers greater flexibility, scalability, and reduced installation costs. Additionally, the use of smart energy management systems, incorporating artificial intelligence and machine learning techniques to dynamically adjust charging rates, will be discussed to optimize efficiency and cost-effectiveness.

Keywords: batteries; charging stations; DC fast charging station; electric vehicles (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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