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One of the major considerations in the automotive industry is the reduction of hybrid electric vehicle fuel consumption and operation cost. This paper is the first to use the nondominated sorting genetic algorithm-II (NSGA-II) for power-split plug-in hybrid electric vehicle (PHEV) applications. The NSGA-II, one of the most efficient multiobjective genetic algorithms (MOGAs), simultaneously optimized...
Transit agencies are increasingly focused on making bus fleets cleaner, more efficient and cost effective by incorporating new clean propulsion technologies. Increased maintenance cost and lower lifetime of battery packs in existing hybrid electric buses have been major bottlenecks in motivating transit bus operators to rapidly switch to this energy efficient technology. Understanding the demerits...
The number of electrical components in vehicles is day by day increasing, requiring a careful dimensioning of the electric system and a correct choice of the components that will have to provide electrical power to the whole system. The amount of electric energy that may be required during the usage of a car is very variable, depending on how many and which loads are active at the moment; the choice...
In this paper, Dynamic Programming (DP) is applied for the first time to optimize the plug-in hybrid electric vehicle (PHEV) power split device (PSD) planetary gear ratio. Since there are many PHEV operation modes, modeling the PSD configuration is complex and designing the ideal PSD planetary gear ratio is quite challenging. The new design approach for the planetary gear ratio based on DP is discussed...
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