Citation

Shern, Siow Jat and Sarker, Md Tanjil and Ramasamy, Gobbi and Thiagarajah, Siva Priya and Al Farid, Fahmid and Suganthi, S. T. (2024) Artificial Intelligence-Based Electric Vehicle Smart Charging System in Malaysia. World Electric Vehicle Journal, 15 (10). p. 440. ISSN 2032-6653

Text Artificial Intelligence-Based Electric Vehicle Smart Charging System in Malaysia.pdf - Published Version Restricted to Repository staff only Download (4MB)

Abstract

The worldwide transition to electric vehicles (EVs) is gaining momentum, propelled by the imperative to reduce carbon emissions and foster sustainable transportation. In Malaysia, the government is facilitating this transformation through targeted initiatives aimed at promoting the use of electric vehicles (EVs) and developing the required infrastructure. This paper investigates the crucial role of artificial intelligence (AI) in developing intelligent electric vehicle (EV) charging infrastructure, specifically focusing on the context of Malaysia. The paper examines the current electric vehicle (EV) charging infrastructure in Malaysia, highlights advancements led by artificial intelligence (AI), and references both local and international case studies. Fluctuations in the Total Industry Volume (TIV) and Total Industry Production (TIP) reflect changes in market demand and production capabilities, with notable peaks in March 2023 and March 2024. The research reveals that AI technologies, such as machine learning and predictive analytics, can enhance charging efficiency, improve user experience, and support grid stability. A mathematical model for an AI-based smart charging system was developed, and the implemented system achieved 30% energy savings and a 20.38% reduction in costs compared to traditional methods. These findings underscore the system’s energy and cost efficiency. In addition, we outline the potential advantages and challenges associated with incorporating artificial intelligence (AI) into Malaysia’s electric vehicle (EV) charging infrastructure. Furthermore, we offer recommendations for researchers, industry stakeholders, and regulators. Malaysia can enhance the uptake of electric vehicles and make a positive impact on the environment by leveraging artificial intelligence (AI) to enhance its electric vehicle charging system (EVCS).

Item Type:	Article
Uncontrolled Keywords:	Artificial intelligence (AI), electrical vehicle charging system
Subjects:	Q Science > Q Science (General) > Q300-390 Cybernetics T Technology > TL Motor vehicles. Aeronautics. Astronautics
Divisions:	Faculty of Engineering (FOE)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	03 Dec 2024 01:39
Last Modified:	03 Dec 2024 01:39
URII:	http://shdl.mmu.edu.my/id/eprint/13153

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