A system-level modelling technique for a switched reluctance generator (SRG) is described for aerospace applications. Unlike existing techniques, this model is very simple and only reproduces the average behaviour of the input-output variables that are required for system-level analysis of the aircraft power distribution system. The model is parameterised from the measured generator response, avoiding the need for a detailed knowledge of the equipment structure, which may be unavailable. The modelling procedure is described in detail and validated by measurements on a switched reluctance generator within an aircraft test facility.
more than 30 research and development projects for industry. He is the author or coauthor of more than 100 papers published in IEEE journals and conferences. He is the holder of three patents. His current research interests include switched-mode power supplies, power factor correction circuits, inverters (uninterruptible power system and grid-connected applications), and modeling and control of switching converters and digital control techniques.
Fuel cells are one of the most promising energy sources, especially for onboard applications. However, fuel cells present several drawbacks, such us slow dynamic response, loaddependent voltage and uni-directional power flow, that produce an inappropriate vehicle operation. So, secondary energy sources and power converters must be implemented in order to satisfy fast changes in the current load and to store the energy delivered by the load if regenerative braking is intended. Taking into account the number and nature of the power converters, loads, secondary energy sources, and the possibilities for the control strategies, the design of a power distribution architecture based on fuel cells for transport applications is a complex task. In order to address these architectures, modeling and simulation design tools at system level are essential.This paper proposes a complete fuel cell black-box model which reproduces the behavior of a commercial fuel cell with overshooted transient response. The identification technique applied to parameterize the model components, based on manufacturer's datasheets and a test based on load steps, is explained thoroughly. Additionally, if only the fuel cell frequency response and manufacturer's datasheet are available, an alternative parameterization methodology based on the fuel cell frequency response is presented. The fuel cell black-box model is validated experimentally using a commercial PEM (Proton Exchange Membrane) fuel cell. Two different parameterizations are carried out with the aim of verifying the robustness of both the fuel cell model and the proposed identification methodology. Index Terms-black-box model, fuel cell, identification methodology, power distribution architecture, system level model, transport, vehicles I. INTRODUCTION UEL cells are considered as one of the most attractive distributed energy sources, due to their reliability, the low or none polluting emissions and their low maintenance requirements [1]. A fuel cell is an electrochemical device where a continuous catalytic reaction of hydrogen and oxygen takes place in the presence of an electrolyte. Its behavior is Manuscript received October 8, 2013.
Nowadays, "black box" behavioral models of power converters are becoming interesting for system level simulation of power electronic based systems. Hence, new modeling and identification procedures become needed. In this paper, an easy modeling method and identification procedure based on a transient response analysis is presented. Using this method, a behavioral model with reduced order can be identified by analyzing the transient response of the converter. Experimental results validate the procedure.
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