Novel metaheuristic optimization strategies for plug-in hybrid electric vehicles: A holistic review
Hybrid Vehicles have experienced major modifications since the last decade. Smart grid success with combination of renewable energy exclusively depends upon the large-scale penetration of Plug-in Hybrid Electric Vehicles (PHEVs) for a sustainable and carbon-free transportation. Recent technical stud...
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my.utp.eprints.119052016-10-07T01:42:37Z Novel metaheuristic optimization strategies for plug-in hybrid electric vehicles: A holistic review Rahman, Imran Vasant, Pandian Mahinder Singh, Balbir Singh Abdullah-Al-Wadud, M. QA Mathematics QA75 Electronic computers. Computer science TK Electrical engineering. Electronics Nuclear engineering TL Motor vehicles. Aeronautics. Astronautics Hybrid Vehicles have experienced major modifications since the last decade. Smart grid success with combination of renewable energy exclusively depends upon the large-scale penetration of Plug-in Hybrid Electric Vehicles (PHEVs) for a sustainable and carbon-free transportation. Recent technical studies regarding various optimization strategies related to PHEV integrated smart grid; such as control and battery charging, vehicle-to-grid (V2G), unit commitment, charging infrastructures, integration of solar and wind energy and demand management prove that electrification of transportation as a rapidly growing field of research. This work presents a holistic review of all substantial research applying metaheuritics optimization for plug-in hybrid electric vehicles. A summary on future perspective of metaheuristic algorithms is also provided, covering Cuckoo Search(CS), Harmony Search (HS), Artificial Bee Colony (ABC), etc. with a comprehensive reviews on previously applied methods and their performance for solving different real-world problems in the domain of PHEVs. Moreover, significant shifts towards hybrid and hyper metaheuristics are also highlighted. 2016-03 Citation Index Journal PeerReviewed application/pdf http://eprints.utp.edu.my/11905/1/idt-10-idt245.pdf Rahman, Imran and Vasant, Pandian and Mahinder Singh, Balbir Singh and Abdullah-Al-Wadud, M. (2016) Novel metaheuristic optimization strategies for plug-in hybrid electric vehicles: A holistic review. [Citation Index Journal] http://eprints.utp.edu.my/11905/ |
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QA Mathematics QA75 Electronic computers. Computer science TK Electrical engineering. Electronics Nuclear engineering TL Motor vehicles. Aeronautics. Astronautics Rahman, Imran Vasant, Pandian Mahinder Singh, Balbir Singh Abdullah-Al-Wadud, M. Novel metaheuristic optimization strategies for plug-in hybrid electric vehicles: A holistic review |
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Hybrid Vehicles have experienced major modifications since the last decade. Smart grid success with combination of renewable energy exclusively depends upon the large-scale penetration of Plug-in Hybrid Electric Vehicles (PHEVs) for a sustainable and carbon-free transportation. Recent technical studies regarding various optimization strategies related to PHEV integrated smart grid; such as control and battery charging, vehicle-to-grid (V2G), unit commitment, charging infrastructures, integration of solar and wind energy and demand management prove that electrification of transportation as a rapidly growing field of research. This work presents a holistic review of all substantial research applying metaheuritics optimization for plug-in hybrid electric vehicles. A summary on future perspective of metaheuristic algorithms is also provided, covering Cuckoo Search(CS), Harmony Search (HS), Artificial Bee Colony (ABC), etc. with a comprehensive reviews on previously applied methods and their performance for solving different real-world problems in the domain of PHEVs. Moreover, significant shifts towards hybrid and hyper metaheuristics are also highlighted. |
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Citation Index Journal |
author |
Rahman, Imran Vasant, Pandian Mahinder Singh, Balbir Singh Abdullah-Al-Wadud, M. |
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Rahman, Imran Vasant, Pandian Mahinder Singh, Balbir Singh Abdullah-Al-Wadud, M. |
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Rahman, Imran |
title |
Novel metaheuristic optimization strategies for plug-in hybrid electric vehicles: A holistic review |
title_short |
Novel metaheuristic optimization strategies for plug-in hybrid electric vehicles: A holistic review |
title_full |
Novel metaheuristic optimization strategies for plug-in hybrid electric vehicles: A holistic review |
title_fullStr |
Novel metaheuristic optimization strategies for plug-in hybrid electric vehicles: A holistic review |
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Novel metaheuristic optimization strategies for plug-in hybrid electric vehicles: A holistic review |
title_sort |
novel metaheuristic optimization strategies for plug-in hybrid electric vehicles: a holistic review |
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2016 |
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http://eprints.utp.edu.my/11905/1/idt-10-idt245.pdf http://eprints.utp.edu.my/11905/ |
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1738655989516730368 |
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