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World Electric Vehicle Journal is published by MDPI from Volume 9 issue 1 (2018). Articles in this Issue were published by The World Electric Vehicle Association (WEVA) and its member the European Association for e-Mobility (AVERE), the Electric Drive Transportation Association (EDTA), and the Electric Vehicle Association of Asia Pacific (EVAAP). They are hosted by MDPI on mdpi.com as a courtesy and upon agreement with AVERE.
Open AccessArticle

Design and Implementation of On-Line Self-Tuning Control for PEM Fuel Cells

University of Glamorgan, Faculty of Advanced Technology, Pontypridd, Wales, UK CF37 1DL
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Author to whom correspondence should be addressed.
World Electr. Veh. J. 2008, 2(4), 242-252; https://doi.org/10.3390/wevj2040242
Published: 26 December 2008
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Abstract

This paper presents the modelling and real time implementation of PEM (polymer electrolyte membrane) fuel cell flow control. Flow control presents a critical performance requirement to achieving dynamic power responses for electric vehicle motor demands. However a fuel cell’s complex structure and reactant requirements traditionally result in an unsatisfactory response to such dynamic loading instances. This in turn causes brief power losses associated with driving patterns such as acceleration and hill climbing. To improve the fuel cell’s dynamic response to such drive cycles, this paper presents new methodology for system identification and controller design. The fuel cell is modelled initially with established linear model and parameter estimation methods. The approach is then expanded to an on-line system identification LabVIEW programme to account for the non-linear and time varying characteristics. Based upon this identification process, a novel LabVIEW self-tuning PID controller is implemented in real time to control the response. The self-tuning controller continuously re-calculates the critical gain and period, and then adjusts the controller actions accordingly. Conclusions are then summarised from the results and future ongoing work is discussed briefly.
Keywords: Fuel Cells; On-Line Identification; Non-Linear Dynamics; Time-Varying Systems; Self-Tuning Control Fuel Cells; On-Line Identification; Non-Linear Dynamics; Time-Varying Systems; Self-Tuning Control
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Williams, J.G.; Liu, G.-P.; Thanapalan, K.; Rees, D. Design and Implementation of On-Line Self-Tuning Control for PEM Fuel Cells. World Electr. Veh. J. 2008, 2, 242-252.

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