Charging Ahead: Statistics on Electric Vehicle Charging Station Allocation and Uptake Trends in Malaysia

Authors

  • N. A. Syahirah Department of Mathematics, Faculty of Science and Mathematics, Universiti Pendidikan Sultan Idris, Perak, Malaysia
  • R. N. Farah Department of Mathematics, Faculty of Science and Mathematics, Universiti Pendidikan Sultan Idris, Perak, Malaysia

DOI:

https://doi.org/10.58915/amci.v13iNo.1.259

Abstract

The emergence of electric vehicles is attributable to the accessibility of charging stations, which is essential in reducing EV drivers' range anxiety. EV batteries need to recharge after a certain number of miles driven. As a result, for EVs to be widely deployed, a sustainable charging station must be constructed. The National Electric Mobility Blueprint states that Malaysia's primary goal is for the nation to become the marketing hub for the EV industry by 2030. By 2030, Malaysia reportedly expects to have 125,000 electric vehicle charging stations. EVCS are available in many types, each with different charging capabilities and speeds. The most popular EVCS are slow charging stations, fast charging stations, battery swap charging stations, and wireless charging stations. The type of EVCS is discussed in this study, particularly from the perspectives of Malaysia. The mechanisms, advantages, disadvantages, and associated issues of these EVCS are thoroughly discussed. Furthermore, to reduce range anxiety among EV users and enhance EV adoptions in Malaysia, several criteria are considered in determining the suitable location for Photovoltaic Electric Vehicle Charging Stations. For future studies, all the selected criteria will be calculated using Multi-Criteria Decision-Making methods.

Keywords:

Electric Vehicle, Electric Vehicle Charging Station, charging station, Product Criteria, Photovoltaic Electric Vehicle Charging Station, Malaysia

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Published

2024-02-14

How to Cite

N. A. Syahirah, & R. N. Farah. (2024). Charging Ahead: Statistics on Electric Vehicle Charging Station Allocation and Uptake Trends in Malaysia. Applied Mathematics and Computational Intelligence (AMCI), 13(No.1), 69–83. https://doi.org/10.58915/amci.v13iNo.1.259