Research on state estimation of small PEMFC based on sliding mode observer

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Publicado en:Journal of Physics: Conference Series vol. 3043, no. 1 (Jun 2025), p. 012141
Autor principal: Qiu, Quan
Otros Autores: Liu, Haining, Li, Fajia, Fu, Yu
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IOP Publishing
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Acceso en línea:Citation/Abstract
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022 |a 1742-6588 
022 |a 1742-6596 
024 7 |a 10.1088/1742-6596/3043/1/012141  |2 doi 
035 |a 3227051201 
045 2 |b d20250601  |b d20250630 
100 1 |a Qiu, Quan  |u School of Mechanical Engineering, University of Jinan , Jinan 250022, China 
245 1 |a Research on state estimation of small PEMFC based on sliding mode observer 
260 |b IOP Publishing  |c Jun 2025 
513 |a Journal Article 
520 3 |a As an efficient and clean energy conversion device, the small Proton Exchange Membrane Fuel Cell (PEMFC) has broad application prospects in the fields of portable devices and distributed power generation. However, the internal state of the PEMFC is difficult to measure directly, which poses challenges to its performance optimization and fault diagnosis. This study proposes a state estimation method for small PEMFC based on a sliding mode observer, aiming to achieve an accurate estimation of its key state variables. Firstly, a mechanism model of the small PEMFC is established, and its dynamic characteristics are analyzed. Secondly, a sliding mode observer is designed to address model uncertainties and external disturbances. Finally, the effectiveness and robustness of the proposed method are verified through simulations and experiments. The results show that the observer can accurately estimate key state variables such as the cathode pressure and anode pressure of the PEMFC, providing a theoretical basis and technical support for the state monitoring, performance optimization, and fault diagnosis of the PEMFC. 
653 |a Energy conversion 
653 |a State estimation 
653 |a Clean energy 
653 |a Portable equipment 
653 |a Fault diagnosis 
653 |a Distributed generation 
653 |a Dynamic characteristics 
653 |a Proton exchange membrane fuel cells 
653 |a State variable 
653 |a Optimization 
700 1 |a Liu, Haining  |u School of Mechanical Engineering, University of Jinan , Jinan 250022, China 
700 1 |a Li, Fajia  |u School of Mechanical Engineering, University of Jinan , Jinan 250022, China 
700 1 |a Fu, Yu  |u Shanghai Jichong Hydrogen Energy Technology Co., Ltd. Shanghai 201800, China 
773 0 |t Journal of Physics: Conference Series  |g vol. 3043, no. 1 (Jun 2025), p. 012141 
786 0 |d ProQuest  |t Advanced Technologies & Aerospace Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3227051201/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3227051201/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch