Optimal power allocation scheme for plug-in hybrid electric vehicles using swarm intelligence techniques

Green technologies gain popularity to reduce the pollution and give higher penetration of renewable energy source in the transportation. This research induce that the extensive involvement of plug-in hybrid electric vehicles (PHEVs) requires adequate charging allocation strategy using a combination of smart grid systems and smart charging infrastructures. It is also noticed that daytime charging station are necessary for daily usage of PHEVs due to the limited all-electric-range. Most of the researches in the past have been stated that only proper charging control and infrastructure management can assure the larger participation of PHEVs. Therefore, researchers are trying to develop efficient control mechanism for charging infrastructure in order to facilitate upcoming PHEVs penetration in highway. Nevertheless, most of the past researcher already aware with the issue related to intelligent energy management. Yet, these studies could not fill the gap of the problem associated with intelligent energy management and require formulation of mathematical models with extensive use of computational intelligence-based optimization techniques to solve many technical problems. The outcome of this research study provides four optimization techniques that include Hybrid method *Corresponding author: Pandian M. Vasant, Department of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS 32610 Seri Iskandar, Perak, Malaysia E-mails: [email protected], [email protected] Reviewing editor: Kun Chen, Wuhan University of Technology, China Additional information is available at the end of the article