Random search in energy management strategy (EMS) for hybrid electric vehicles
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...
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ump-22661 |
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eprints |
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ump-226612019-05-21T06:50:50Z http://umpir.ump.edu.my/id/eprint/22661/ Random search in energy management strategy (EMS) for hybrid electric vehicles Muhammad Syahmi, Ghazali Muhammad Ikram, Mohd Rashid TK Electrical engineering. Electronics Nuclear engineering 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 Springer Singapore 2018 Book Section PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/22661/2/14.1%20Random%20search%20in%20energy%20management%20strategy.pdf pdf en http://umpir.ump.edu.my/id/eprint/22661/13/39.%20Random%20search%20in%20Energy%20Management%20Strategy%20%28EMS%29%20for%20hybrid%20electric%20vehicles.pdf pdf en http://umpir.ump.edu.my/id/eprint/22661/14/39.1%20Random%20search%20in%20Energy%20Management%20Strategy%20%28EMS%29%20for%20hybrid%20electric%20vehicles.pdf 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 https://link.springer.com/chapter/10.1007/978-981-13-3708-6_19 DOI: https://doi.org/10.1007/978-981-13-3708-6_19 |
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Digital Repository |
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Local University |
| institution |
Universiti Malaysia Pahang |
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UMP Institutional Repository |
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Online Access |
| language |
English English English |
| topic |
TK Electrical engineering. Electronics Nuclear engineering |
| spellingShingle |
TK Electrical engineering. Electronics Nuclear engineering Muhammad Syahmi, Ghazali Muhammad Ikram, Mohd Rashid Random search in energy management strategy (EMS) for hybrid electric vehicles |
| description |
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 |
| format |
Book Section |
| author |
Muhammad Syahmi, Ghazali Muhammad Ikram, Mohd Rashid |
| author_facet |
Muhammad Syahmi, Ghazali Muhammad Ikram, Mohd Rashid |
| author_sort |
Muhammad Syahmi, Ghazali |
| title |
Random search in energy management strategy (EMS) for hybrid electric vehicles |
| title_short |
Random search in energy management strategy (EMS) for hybrid electric vehicles |
| title_full |
Random search in energy management strategy (EMS) for hybrid electric vehicles |
| title_fullStr |
Random search in energy management strategy (EMS) for hybrid electric vehicles |
| title_full_unstemmed |
Random search in energy management strategy (EMS) for hybrid electric vehicles |
| title_sort |
random search in energy management strategy (ems) for hybrid electric vehicles |
| publisher |
Springer Singapore |
| publishDate |
2018 |
| url |
http://umpir.ump.edu.my/id/eprint/22661/ http://umpir.ump.edu.my/id/eprint/22661/ http://umpir.ump.edu.my/id/eprint/22661/ http://umpir.ump.edu.my/id/eprint/22661/2/14.1%20Random%20search%20in%20energy%20management%20strategy.pdf http://umpir.ump.edu.my/id/eprint/22661/13/39.%20Random%20search%20in%20Energy%20Management%20Strategy%20%28EMS%29%20for%20hybrid%20electric%20vehicles.pdf http://umpir.ump.edu.my/id/eprint/22661/14/39.1%20Random%20search%20in%20Energy%20Management%20Strategy%20%28EMS%29%20for%20hybrid%20electric%20vehicles.pdf |
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2023-09-18T22:33:53Z |
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2023-09-18T22:33:53Z |
| _version_ |
1777416465874419712 |