Plug-in hybrid electric vehicle (PHEV) technology is receiving attention as an approach to reducing U.S. dependency on foreign oil and emissions of greenhouse gases (GHG) from the transportation sector. Because plug-in vehicles require large batteries for energy storage, battery weight can have a significant impact on vehicle performance: Additional storage capacity increases the range that a P...

Plug-in hybrid electric vehicles (PHEVs) use grid electricity as well as on-board gasoline for motive force. These multiple energy sources make prediction of PHEV energy consumption challenging and also complicate evaluation of their environmental impacts. This paper introduces a novel PHEV energy consumption modeling approach and compares it to a second approach from the literature, each using...

A PowerPC-centred 110 VAC/2.5 kW full-bridge isolated battery charger was developed for the plug-in hybrid electric vehicle (PHEV). Genetic algorithm was adopted to optimise the system key parameters. Phase-shift-based operation modes were analysed in detail. The system-level safe operational area and other practical design considerations were discussed in detail. Experiments validated the desi...

The paper describes a method for investigating the impacts of wide-scale Plug-In Hybrid Electric Vehicle (PHEV) integration in electricity networks. It incorporates an agent-based transportation micro-simulation, which provides detailed temporal and spatial information of PHEV behavior including vehicle connection times, locations and energy demands. These inputs are subsequently used in power ...

The paper describes a method for investigating the impacts of wide-scale Plug-In Hybrid Electric Vehicle (PHEV) integration in electricity networks. It incorporates an agent-based transportation micro-simulation, which provides detailed temporal and spatial information of PHEV behavior including vehicle connection times, locations and energy demands. These inputs are subsequently used in power ...

This paper uses dynamic programming to compare the optimal fuel and electricity costs associated with two supervisory control strategies from the plug-in hybrid electric vehicle (PHEV) literature. One strategy blends fuel and electricity for propulsion throughout the useful range of battery state of charge (SOC), while the second strategy switches from all-electric to blended operation at a pre...

For fuel economy of power system, Plug-in Hybrid Electric Vehicle (PHEV) should be charged late at night to level a load curve. This paper proposes an electricity pricing algorithm for load leveling, using variation method. Variation method is a mathematical technique that can bring a value of integral functional to the extreme value. We formulate a cost minimization problem of PHEV owners, reg...

A plug-in hybrid electric vehicle(PHEV) is a promising way of achieving the benefits of the electric vehicle without being limited by the electric range. This paper develops an adaptive control strategy based on a map-based ECMS approach. The control is developed and implemented in a simulator provided by IFP Energies nouvelles for the PHEV benchmark. The implemented control strives to be as bl...

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...

Since humans’ activities contribute to climate change it is important to change behavior. Switching to a hybrid/plugin/electric vehicle (HEV/PHEV/EV) for personal transport can be one way. In this study the intention to switch to a HEV/PHEV/EV is studied from the theoretical framework of the moral norm-activation theory of altruism (Schwartz, 1977) and the Value-BeliefNorm (VBN) Theory of envir...