Plug-in Hybrid Electric Vehicles (PHEVs) offer a great opportunity to significantly reduce petroleum consumption. The fuel economy of PHEV is highly dependent on All-Electric-Range (AER) and control strategy. Previous studies have shown that in addition to parameters influencing Hybrid Electric Vehicles (HEVs), control strategies of PHEVs are also influenced by the trip distance. This additiona...

Plug-in Hybrid Electric Vehicles (PHEVs) offer a great opportunity to significantly reduce petroleum consumption. The fuel economy of PHEV is highly dependent on All-Electric-Range (AER) and control strategy. Previous studies have shown that in addition to parameters influencing Hybrid Electric Vehicles (HEVs), control strategies of PHEVs are also influenced by the trip distance. This additiona...

1  Abstract— This paper presents an integrated LCC compensation topology for EV/PHEV wireless chargers. The effect of the coupling between the additional coil and the main coil on the LCC compensation topology is studied. The proposed topology will reduce the size of the additional coil and make the system more compact with extremely high efficiency. The basic characteristics of the proposed t...

This paper presents an approach to the design of optimal control strategy for plug-in hybrid electric vehicles (PHEVs) incorporating Internet Vehicles (IoVs). The is designed and implemented by employing a mobile edge computing (MEC) based framework IoVs. thresholds in can be instantaneously optimized chaotic particle swarm optimization with sequential quadratic programming (CPSO-SQP) units (ME...

Energy management of plug-in Hybrid Electric Vehicles (HEVs) has different challenges from non-plug-in HEVs, due to bigger batteries and grid recharging. Instead of tackling it to pursue energetic efficiency, an approach minimizing the driving cost incurred by the user – the combined costs of fuel, grid energy and battery degradation – is here proposed. A real-time approximation of the resultin...

In the field of new energy vehicles, 4WD PHEVs show strong energy-saving potential. A single management strategy, nevertheless, has difficulty achieving potential due to complex, nonlinear system PHEV. To cope with it, a hierarchical strategy (H-EMS) for is proposed in this paper achieve optimization. Firstly, future speed information predicted by prediction method, and upper adopts model predi...

KULSHRESTHA, PREETIKA. An Intelligent Energy Management System for Charging of Plug-in Hybrid Electric Vehicles at a Municipal Parking Deck. (Under the direction of Dr. Mo-Yuen Chow.) There is a need to address potential problems due to the emergence of technologies that will affect the utility industry in a time horizon of less than 20 years. One such technology is the plug-in hybrid electric ...