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What is Plug-In Hybrid Electric Vehicles

Chapter 18
Handbook of Research on Modern Optimization Algorithms and Applications in Engineering and Economics
Plug-in Hybrid Electric Vehicles (PHEVs) are being made with relatively large sized batteries that can be charged during off-peak hours, and permit the vehicle owner to use exclusively electric made for 30 – 60 miles of driving as well as switching into traditional gasoline for longer trips. PHEVs offer customers the opportunity for fuel at gasoline-equivalent prices of less than $1.00 per gallon. For a given size battery bank, the range of a PHEV can be prolonged significantly before batteries need recharging by turning on the engine or fuel cell whenever the vehicle power demand exceeds some threshold.
Published in Chapter:
Hybrid Particle Swarm and Gravitational Search Optimization Techniques for Charging Plug-In Hybrid Electric Vehicles
Imran Rahman (Universiti Teknologi Petronas, Malaysia), Pandian Vasant (University of Technology Petronas, Malaysia), Balbir Singh Mahinder Singh (Universiti Teknologi Petronas, Malaysia), and M. Abdullah-Al-Wadud (King Saud University, Saudi Arabia)
Copyright: © 2016 |Pages: 34
DOI: 10.4018/978-1-4666-9644-0.ch018
Abstract
Electrification of Transportation has undergone major modifications since the last decade. Success of combining smart grid technology and renewable energy exclusively depends upon the large-scale participation of Plug-in Hybrid Electric Vehicles (PHEVs) towards reach the desired pollution-free transportation industry. One of the key Performance pointers of hybrid electric vehicle is the State-of-Charge (SoC) which needs to be enhanced for the advancement of charging station using computational intelligence methods. In this Chapter, authors applied Hybrid Particle swarm and gravitational search Optimization (PSOGSA) technique for intelligently allocating energy to the PHEVs considering constraints such as energy price, remaining battery capacity, and remaining charging time. Computational experiment results attained for maximizing the highly non-linear fitness function estimates the performance measure of both the techniques in terms of best fitness value and computation time.
Full Text Chapter Download: US $37.50 Add to Cart
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Chapter 12
Swarm Intelligence-Based Optimization for PHEV Charging Stations
Plug-in Hybrid Electric Vehicles (PHEVs) are being made with relatively large sized batteries that can be charged during off-peak hours, and permit the vehicle owner to use exclusively electric made for 30 – 60 miles of driving as well as switching into traditional gasoline for longer trips. PHEVs offer customers the opportunity for fuel at gasoline-equivalent prices of less than $1.00 per gallon. For a given size battery bank, the range of a PHEV can be prolonged significantly before batteries need recharging by turning on the engine or fuel cell whenever the vehicle power demand exceeds some threshold.
Published in Chapter: Swarm Intelligence-Based Optimization for PHEV Charging Stations; From: Handbook of Research on Swarm Intelligence in Engineering
Full Text Chapter Download: US $37.50 Add to Cart
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