Nature-inspired meta-heuristics approaches for charging plug-in hybrid electric vehicle
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Nature-inspired meta-heuristics approaches for charging plug-in hybrid electric vehicle Pandian Vasant1,2 • Jose Antonio Marmolejo3 • Igor Litvinchev4 • Roman Rodriguez Aguilar5
Springer Science+Business Media, LLC, part of Springer Nature 2019
Abstract Currently, there is a remarkable focus on green technologies for taking steps towards more use of renewable energy sources within the sector of transportation and also decreasing pollution. At this point, employment of plug-in hybrid electric vehicles (PHEVs) needs sufficient charging allocation strategy, by running smart charging infrastructures and smart grid systems. In order to daily usage of PHEVs, daytime charging stations are required and at this point, only an appropriate charging control and a management of the infrastructure can lead to wider employment of PHEVs. In this study, four swarm intelligence based optimization techniques: particle swarm optimization (PSO), gravitational search algorithm (GSA), accelerated particle swarm optimization, and hybrid version of PSO and GSA (PSOGSA) have been applied for the state-of-charge optimization of PHEVs. In this research, hybrid PSOGSA has performed very well in producing better results than other stand-alone optimization techniques. Keywords Nature-inspire metaheuristics Hybrid optimization Swarm intelligence Artificial intelligence State-of-charge optimization Plug-in hybrid electric vehicle
1 Introduction Researches on green technologies for transportation sector are gaining popularity among the research communities from different areas. In this wake, Plug-in hybrid electric vehicles (PHEVs) have great future because of their charge storage system and charging facilities from traditional grid & Pandian Vasant [email protected]; [email protected] Roman Rodriguez Aguilar [email protected] 1
Modeling Evolutionary Algorithms Simulation and Artificial Intelligence (MERLIN), Faculty of Electrical and Electronics Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam
2
Universiti Teknologi Petronas, Seri Iskandar, Malaysia
3
Facultad de Ingenieria, Universidad Panamericana, Augusto Rodin 498, 03920 Mexico City, Mexico
4
Nuevo Leon State University, Monterrey, Mexico
5
Escuela de Ciencias Econo´micas y Empresariales, Universidad Panamericana, Augusto Rodin 498, 03920 Mexico City, Mexico
system. Some researchers have shown that electrification of transport sector can cause a large amount of degradation in greenhouse gas emissions. Future transportation sector will depend much on the advancement of this emerging field of vehicle optimization. As a recent research interest regarding improving general fuel efficiency over a wider capacity battery system, the plug-in hybrid electric vehicles (PHEVs) can be charged thoroughly thanks to conventional power grid system. That also makes it possible the vehicles to be run in ‘‘all-electric-range’’ (AER) continuously. Allelectric vehicles or AEVs is a kind of transport that use elec
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