A States of Matter Search-Based Approach for Solving the Problem of Intelligent Power Allocation in Plug-in Hybrid Electric Vehicles

A States of Matter Search-Based Approach for Solving the Problem of Intelligent Power Allocation in Plug-in Hybrid Electric Vehicles

Recently, many researchers have proved that the electrification of the transport sector is a key for reducing both the emissions of green-house pollutants and the dependence on oil for transportation. As a result, Plug-in Hybrid Electric Vehicles (or PHEVs) are receiving never before seen increased...

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Bibliographic Details
Main Authors: Arturo Valdivia-Gonzalez, Daniel Zaldívar, Fernando Fausto, Octavio Camarena, Erik Cuevas, Marco Perez-Cisneros
Format: Article
Language:English
Published: MDPI AG 2017-01-01
Series:Energies
Subjects:
Plug-in Hybrid Electric Vehicles (PHEV)
smart grid
particle swarm optimization (PSO)
intelligent management
gravitational search (GSA)
state of matter search (SMS)
nature-inspired
Online Access:http://www.mdpi.com/1996-1073/10/1/92

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