Plug-in hybrid electric vehicle (PHEV) technology has the potential to help address economic, environmental, and national security concerns in the United States by reducing operating cost, greenhouse gas (GHG) emissions and petroleum consumption from the transportation sector. However, the net effects of PHEVs depend critically on vehicle design, battery technology, and charging frequency. To e...

In this chapter, Gravitational Search Algorithm (GSA) and Particle Swarm Optimization (PSO) technique were applied for intelligent allocation of energy to the Plug-in Hybrid Electric Vehicles (PHEVs). Considering constraints such as energy price, remaining battery capacity, and remaining charging time, they optimized the State-of-Charge (SoC), a key performance indicator in hybrid electric vehi...

The battery charging system is a critical part of a plug-in hybrid electric vehicle (PHEV). The efficiency, charging speed, and cost of such chargers are crucial to the commercialisation of PHEVs. In this paper, the advantages and drawbacks of four potential PHEV charger topologies were compared based on their operations through simulation and experiments. Their electrical stress, efficiency, c...

In this paper, a stochastic approach is proposed for reliability assessment of bidirectional DC-DC converters, including the fault-tolerant ones. This type of converters can be used in a smart DC grid, feeding DC loads such as home appliances and plug-in hybrid electric vehicles (PHEVs). The reliability of bidirectional DC-DC converters is of such an importance, due to the key role of the expec...

Hybrid and fully electric vehicles are becoming more common as a response to rising fuel prices and greenhouse considerations. While the benefits of electrification on urban air quality have been studied quite widely, financial assessments of the various alternative vehicle forms are less common, particularly for Australian driving conditions. The aim of this paper is therefore to identify the ...

Abstract: This paper studies the power management of a plug-in hybrid electric vehicle (PHEV) using quadratic programming. The proposed quadratic programming can obtain the global optimal solution of the power distribution between battery/motor and engine while maintaining vehicle performance. Computation time can be significantly saved compared with dynamic programming. Therefore, it can be us...