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Control strategies for energy management system in electric vehicle using high-level supervisory control


Citation

Abulifa, Abdulhadi Abdulsalam and Che Soh, Azura and Hassan, Mohd Khair and Raja Ahmad, Raja Mohd Kamil and Mohd Radzi, Mohd Amran (2022) Control strategies for energy management system in electric vehicle using high-level supervisory control. International Journal of Science and Technology Research Archive, 3 (2). 37 - 44. ISSN 0799-6632

Abstract

Energy Management System (EMS) is a computer-supported device utilized by drivers of electrical frameworks to maintain management and to optimize the efficiency of transmission systems. In this paper, a control strategy for EMS using on the High-level Supervisory Control (HLSC) has been reviewed. This HLSC strategy with an intelligent management algorithm technique has been evolving rapidly particularly in EMS for Electrical Vehicles (EVs). Their revolutionary applications provide efficient control strategies for EMS that increase capabilities, efficiency and accuracy, as well as reducing energy consumption in EVs. Applying EMS with HLSC control strategy with an intelligent management algorithm that is able reallocate the electrical power flow inside the EVs system to boost power efficiency and obtain optimum effectiveness. Such innovative solutions can enhance the efficiency of smart EMS in EVs as the future sustainable transportation.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
DOI Number: https://doi.org/10.53771/ijstra.2022.3.2.0116
Publisher: Scientific Research Archives
Keywords: Energy management system; Electric vehicle; High-level supervisory control; Rule-based control; Optimized-based control
Depositing User: Ms. Nur Faseha Mohd Kadim
Date Deposited: 23 Aug 2023 03:39
Last Modified: 23 Aug 2023 03:39
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.53771/ijstra.2022.3.2.0116
URI: http://psasir.upm.edu.my/id/eprint/100808
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