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A hybrid power system based on a fuel cell (FC) and an energy storage system appears to be very promising for satisfying the high energy and high power requirements of automotive applications in which the power demand is impulsive rather than constant. This paper deals with the use of a hybrid energy storage system with the battery (BAT)/ultracapacitor (UC) as ancillary power source in FC electric vehicles. The energy management strategy (EMS) is one of the most important issues for the efficiency and performance of such systems. The designed EMS uses a splitting method, allowing a natural frequency decomposition of the power demands. It takes into account the slow dynamics of FC and the state of charge of the UC and BAT. A simulation is conducted using MATLAB/SIMULINK software in order to verify the effectiveness of the proposed control strategy. It confirms the performance of the control method and also demonstrates the robustness and stability of the control strategy with good tracking response (transient performance), low overshoot, zero steady‐state error, and control flexibility during a power demand cycle. © 2014 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

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International audienceThis paper presents a pre-sizing approach of DC-DC converters. This approach can be carried out in two main steps. The first step consists on determining the most adapted architecture to answer the specifications and the appropriate technologies of the passive and the active components of the selected architecture by considering major constraints (volume, cost...). The technology choice is carried out using models developed from manufacturer datasheets. The second step consists on optimizing the selected architecture by considering the appropriate technologies resulting from the first step under multi-physic constraints: thermal, losses (or efficiency), volume .... The proposed approach allows reducing significantly the computing time which is suitable in a pre-sizing phase where several parameters must be optimized and multi-physic constraints must be respected

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