On Hybrid Electrical Vehicles (HEV) the energy management becomes crucial, to increase the autonomy of the vehicle and decrease the costs. This paper presents a new approach, to manage the multiple electrical power sources, in front of variable user profiles and for many vehicle configurations. This new approach is based on the concept “adapt the sources type in front of the current profile on power bus”. In this study the types of sources are "power" and "energy". The utilization rate of each source available is determined by the algorithm. The parameters used are kind of proprioceptive and exteroceptive the vehicle. This paper focuses on adaptive methods using fuzzy logic at two levels: at first level will consider the proprioceptive variables (attached to the sources and energy available instantaneously), at second level will consider the exteroceptive variables (attached to the mission and road status, to minimize the consumption criteria). The benefits of this technology have been evaluated on mission profiles associated at the electric vehicles used for mail delivery.
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