Optimal Signal Design in System Identification for Model Predictive Control (MPC)

Sarker, Md. Tanjil; Ramasamy, Gobbi

doi:10.1109/access.2023.3342024

IEEE Access

2023

DOI: 10.1109/access.2023.3342024

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Optimal Signal Design in System Identification for Model Predictive Control (MPC)

Md. Tanjil Sarker,

Gobbi Ramasamy

Abstract: The first author would like to thanks Multimedia University, Malaysia, for providing financial support under the post-doctoral research fellowship program.

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Artificial Intelligence-Based Electric Vehicle Smart Charging System in Malaysia

Shern,

Sarker,

Ramasamy

et al. 2024

WEVJ

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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).

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Artificial Intelligence-Based Electric Vehicle Smart Charging System in Malaysia

Shern,

Sarker,

Ramasamy

et al. 2024

WEVJ

View full text Add to dashboard Cite

show abstract

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Optimal Signal Design in System Identification for Model Predictive Control (MPC)

Abstract: The first author would like to thanks Multimedia University, Malaysia, for providing financial support under the post-doctoral research fellowship program.

Cited by 1 publication

References 30 publications

Artificial Intelligence-Based Electric Vehicle Smart Charging System in Malaysia

Artificial Intelligence-Based Electric Vehicle Smart Charging System in Malaysia

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