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This paper highlights the use of metaheuristic approaches to perform the energy management of a hybrid Fuel Cell/Ultra-Capacitor Electric Vehicle considering hydrogen consumption, Fuel Cell durability and computational time as key performance criteria. The considered architecture is an integrated rule-based metaheuristic approach that combines the simplicity and the effectiveness of rule based and...
This paper presents an optimal energy management of a Fuel Cell/Ultra-Capacitor power source based on Ant Colony Optimization metaheuristic for vehicular applications. First, the modeling of the Fuel Cell/Ultra-Capacitor hybrid source which presents a better dynamic performance and energy efficiency is described. Then, the optimal control problem formulation based on the Ant Colony Optimization algorithm...
The studied system in this paper is a hybrid power source with a Fuel Cell (FC) as a main energy source and an Ultra-Capacitor (UC) as an energy storage system for an electric vehicle. The energy management problem as well as the charge sustaining, which is an optimal control problem are fulfilled by Ant Colony Optimization algorithm while respecting the energetic and dynamic constraints of the hybrid...
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