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Random search in energy management strategy (EMS) for hybrid electric vehicles

Muhammad Syahmi, Ghazali and Muhammad Ikram, Mohd Rashid (2018) Random search in energy management strategy (EMS) for hybrid electric vehicles. In: Proceedings of the 10th National Technical Seminar on Underwater System Technology 2018. Lecture Notes in Electrical Engineering . Springer Singapore, Singapore, pp. 219-227. ISBN 978-981-13-3708-6

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Abstract

The aim of this project is to optimize the total energy used (summation fuel and electricity) from vehicle utilization with the initial result in hybrid electric car (HEV) by using an optimization called Random Search Optimization. Nowadays, the developments of hybrid electric cars are not something new. There are a lot of research are being done on how to increase the effectiveness of hybrid electric cars. One of the main aspects that are being aim is to reduce the electricity consumption while increasing the HEV performance. This is for maintain or increase the HEV performance which is increase the efficiency. Thus, Random Search Optimization was applied to optimize the HEV source output which is from electricity system. This method also had already been applied to solve several other problems. But for HEV optimization more research is needed so that it can be applied for real HEV development in industry not for simulation purpose only. Keywords: HEV, Random Search, optimization

Item Type: Book Section
Additional Information: Indexed by Springer
Uncontrolled Keywords: HEV; Random Search; Optimization
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Pn. Hazlinda Abd Rahman
Date Deposited: 17 Dec 2018 01:18
Last Modified: 21 May 2019 06:50
URI: http://umpir.ump.edu.my/id/eprint/22661
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