Abstract
Solving pollution problems for transport applications is one of the century challenges as well as for building an electrical vehicle. A growing solution is using multi power sources. Hybrid Electric Vehicles (HEV) are expected to significantly reduce pollutants and consumption of fossil energy. This paper is interested on the energy management of the electric power of such hybrid electrical vehicles (like fuel cell and storage element). The overall objective is to satisfy a mission made with an electrical power demand and in reducing as much as possible the hydrogen consumption with optimal splitting of power between the various sources, and respecting the constraints of each energy and power elements. The biggest challenge of all works that focus on energy management is to develop laws of energy management in real time. This work presents two new methods of energy management: In part one, offline method named improved dynamic programming allowed to have better consumption than dynamic programming in terms of time and cost. The second part presents a real time energy management algorithm based on fuzzy rules controller and fuzzy switching of fuzzy rules in real time. This method takes into account the evolution of the state of charge of the storage element at any time and the results obtained show if this strategy is applied on any unknown profile the consumption was near-optimal.