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Swarm intelligence based State-of-Charge optimization for charging Plug-in Hybrid Electric Vehicles

Rahman, Imran and Vasant, Pandian and Mahinder Singh, Balbir Singh and Abdullah-Al-Wadud, M. (2015) Swarm intelligence based State-of-Charge optimization for charging Plug-in Hybrid Electric Vehicles. In: 5th International Conference on Energy and Sustainability, 16 - 18 December, 2014, Putrajaya, Malaysia..

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Abstract

Transportation electrification has undergone major changes since the last decade. Success of the smart grid with renewable energy integration solely depends upon the large-scale penetration of Plug-in Hybrid Electric Vehicles (PHEVs) for a sustainable and carbon-free transportation sector. One of the key performance indicators in the hybrid electric vehicle is the State-of-Charge (SoC), which needs to be optimized for the betterment of charging infrastructure using stochastic computational methods. In this paper, a newly emerged accelerated particle swarm optimization (APSO) technique was applied and compared with standard Particle swarm optimization (PSO), considering charging time and battery capacity. Simulation results obtained for maximizing the highly non-linear objective function indicate that APSO achieves some improvement in terms of best fitness and computation time.

Item Type:Conference or Workshop Item (Paper)
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Academic Subject One:Mission Oriented Research - Green Technologies - Water - Natural gas - Optimization
Academic Subject Two:Academic Department - Electrical And Electronics - Instrumentation and Control - Robotics - Hybrid vehicle
Departments / MOR / COE:Departments > Fundamental & Applied Sciences
ID Code:11903
Deposited By: Pandian Vasant
Deposited On:07 Oct 2016 01:42
Last Modified:07 Oct 2016 01:42

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