DocumentCode :
3602697
Title :
Low-Cost PEM Fuel Cell Diagnosis Based on Power Converter Ripple With Hysteresis Control
Author :
Dotelli, Giovanni ; Ferrero, Roberto ; Stampino, Paola Gallo ; Latorrata, Saverio ; Toscani, Sergio
Author_Institution :
Dept. of Chem., Mater., & Chem. Eng., Politec. di Milano, Milan, Italy
Volume :
64
Issue :
11
fYear :
2015
Firstpage :
2900
Lastpage :
2907
Abstract :
This paper deals with a low-cost diagnostic technique for polymer electrolyte membrane (PEM) fuel cells (FCs), which exploits the ripple produced by power converters to monitor the equivalent ohmic resistance. While the available literature on this topic is focused on constant-frequency control of the power converter (such as pulsewidth modulation), this paper discusses the measurement issues that arise when hysteresis current control is employed for a dc/dc boost converter, which represents the simplest solution from the implementation point of view, and therefore particularly suitable for low-cost applications. The classic frequency-domain analysis for ohmic resistance identification, based on the Fourier transform, is compared with a time-domain analysis based on a simple identification algorithm, and a real-time implementation of the latter is presented. The experimental results are obtained on a single PEM FC, but the extension to FC stacks for commercial applications is also discussed.
Keywords :
DC-DC power convertors; Fourier transforms; electric current control; frequency control; frequency-domain analysis; power control; proton exchange membrane fuel cells; DC-DC boost converter; Fourier transform; PEM fuel cell diagnosis; constant-frequency control; equivalent ohmic resistance identification; frequency-domain analysis; hysteresis current control; polymer electrolyte membrane FC; power converter ripple; pulsewidth modulation; time-domain analysis; Equivalent circuits; Frequency measurement; Impedance; Impedance measurement; Resistance; Switches; Switching frequency; Diagnostics; fuel cell (FC); power converter; real-time processing; system identification; system identification.;
fLanguage :
English
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9456
Type :
jour
DOI :
10.1109/TIM.2015.2434093
Filename :
7115925
Link To Document :
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