The 46th Annual Conference of the IEEE Industrial Electronics Society - IECON 2020
←
→
Page content transcription
If your browser does not render page correctly, please read the page content below
The 46th Annual Conference of the IEEE Industrial Electronics Society October 18-21, 2020, Marina Bay Sands Expo and Convention Centre Singapore IECON 2020 Tutorial Proposal Title of the Proposal: Diagnosis, prognosis and fault tolerance control for fuel cell systems - Presenter(s): Dr Zhongliang LI, LIS Lab (UMR CNRS 7020), Aix-Marseille University, France Dr Zhixue ZHENG, LMOPS lab (EA 4423), University of Lorraine, France Prof. Jian CHEN, State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, China - Brief description: Since the last two decades, fuel cell technologies have been attracting increasing attention from both academia and industry. Particular policies have been released in the main regions of the world to encourage the development and commercialization of fuel cell technologies and relevant products. Several main technical criteria have been approached thanks to the efforts. However, most fuel cells in service still suffer from weak reliability in both the component and system level. The lifecycle of fuel cells is still too short in most practical and experimental records. Fault diagnosis, prognosis and fault tolerance control play potentially the key role aiming at improving both the reliability and durability and thus the focus of this tutorial. In this tutorial, the fuel cell technologies are reviewed firstly. The different faults and degradation modes are then synthesized. The designs of different fault diagnosis, prognosis and fault tolerance control methods are discussed. - Duration: 3 hours - Outline: 1. Review of fuel cell technologies (30 min) a. From single fuel cell to fuel cell systems. b. Classification and applications of fuel cells. c. Current status and challenges of fuel cell technologies. 2. Fault diagnosis of fuel cells (45 min) a. Classification and analysis of the faults for fuel cell systems. b. Design of model-based fault diagnosis methods. c. Design of data-driven fault diagnosis methods. 3. Degradation prognosis of fuel cells (45 min) a. Fuel cell degradation mechanisms. b. Design of model-based degradation prognosis methods. c. Design of data-driven degradation prognosis methods. 4. Fault tolerance control for fuel cell systems (45 min) a. Control problems and methods for fuel cell systems. b. Fault tolerance control design for fuel cells. 5. Conclusion (10 min) -Brief CV:
The 46th Annual Conference of the IEEE Industrial Electronics Society October 18-21, 2020, Marina Bay Sands Expo and Convention Centre Singapore Zhongliang Li (M’14) received the bachelor's and master's degrees in electrical engineering from Tsinghua University, Beijing, China, in 2009 and 2011, respectively. He received Ph.D. degree in automation from the University of Aix-Marseille, Marseille, France, in September 2014. From 2014 to 2016, he was a Postdoctoral Research Associate with labs FEMTO- ST (UMR CNRS 6174) and FCLAB (CNRS 3539), Belfort, France. Since 2016, he has been an Associate Professor of Aix-Marseille University with LIS (UMR CNRS 7020) lab. His research interests include modeling, control, diagnosis and prognosis with applications to fuel cell systems, electric vehicles, and other energy systems. Zhixue ZHENG (S’13-M'18) received the bachelor's and master's degrees in electrical engineering from Beijing Jiaotong University and Tsinghua University, Beijing, China, in 2009 and 2011, respectively. In September 2014, she received the Ph.D. degree in electrical engineering from University of Franche-Comté, Belfort, France. From October 2014 to June 2015 and from January 2018 to August 2018, she was a Postdoctoral Research Associate with the laboratory FCLAB, Belfort, France. Since September 2018, she has been an Associate Professor of University of Lorraine with the laboratory LMOPS (EA 4423). Her research interests include diagnostic and prognostic of fuel cell systems, energy management of microgrids, control and design of power converters. She is a member of the IEEE Industrial Electronics Society, the IEEE Vehicular Technology Society and the IEEE Women in Engineering. Jian Chen (M’06–SM’10) received the B.E. degree in measurement and control technology and instruments and the M.E. degree in control science and engineering from Zhejiang University, Hangzhou, China, in 1998 and 2001, respectively, and the Ph.D. degree in electrical engineering from Clemson University, Clemson, SC, USA, in 2005. He was a Research Fellow with the University of Michigan, Ann Arbor, MI, USA, from 2006 to 2008, where he was involved in fuel cell modeling and control. In 2013, he joined the Department of Control Science and Engineering, Zhejiang University, where he is currently a Professor with the College of Control Science and Engineering. His research interests include modeling and control of fuel cell systems, vehicle control and intelligence, machine vision, and nonlinear control. - Relevant publications: [1] Zhongliang Li, Zhixue Zheng, Rachid Outbib, 2018, “Adaptive prognostic of fuel cells by implementing ensemble Echo State Networks in time varying model space”, IEEE Transactions on Industrial Electronics. [2] Zhongliang Li, Rachid Outbib, Stefan Giurgea, Daniel Hissel, 2015, "Diagnosis for PEMFC Systems: A Data-Driven Approach With the Capabilities of Online Adaptation and Novel Fault Detection", IEEE Transactions on Industrial Electronics.
The 46th Annual Conference of the IEEE Industrial Electronics Society October 18-21, 2020, Marina Bay Sands Expo and Convention Centre Singapore [3] Zhongliang Li, Rachid Outbib, Stefan Giurgea, Daniel Hissel, Yongdong Li, 2015, “Fault detection and isolation for Polymer Electrolyte Membrane Fuel Cell systems by analyzing cell voltage generated space", Applied Energy. [4] Zhongliang Li, Rachid Outbib, Daniel Hissel, Stefan Giurgea, 2014, "Data-driven diagnosis of PEM fuel cell: A comparative study", Control Engineering Practice. [5] Zhongliang Li, Catherine Cadet, and Rachid Outbib, 2018, "Diagnosis for PEMFC based on magnetic measurements and data-driven approach," IEEE Transactions on Energy Conversion. [6] Zhixue Zheng, Marie-Cécile Pera, Daniel Hissel, Mohamed Becherif, Kréhi-Serge Agbli, Yongdong Li, 2014, “A double-fuzzy diagnostic methodology dedicated to online fault diagnosis of proton exchange membrane fuel cell stacks”, Journal of Power Sources. [7] Zhixue Zheng, Raffaele Petrone, Marie-Cécile Pera, Daniel Hissel, Mohamed Becherif, Cesare Pianese, Nadia Yousfi Steiner, Marco Sorrentino, 2013, “A review on nonmodel based diagnosis methodologies for PEM fuel cell stacks and systems”, International Journal of Hydrogen Energy. [8] Zhixue Zheng, Marie-Cécile Pera, Daniel Hissel, Laurent Larger, Romain Martinenghi, Antonio Baylon Fuentes (2016), “Brain-inspired computational paradigm dedicated to fault diagnosis of PEM fuel cell stack”, International Journal of Hydrogen Energy. [9] Raffaele Petrone, Zhixue Zheng, Daniel Hissel, Marie-Cécile Pera, Cesare Pianese, Marco Sorrentino, Mohamed Becherif, Nadia Yousfi Steiner, 2013, “A review on model-based diagnosis methodologies for PEMFCs”, International Journal of Hydrogen Energy [10] Zhixue Zheng, Raffaele Petrone, Marie-Cécile Pera, Daniel Hissel, Mohamed Becherif, Cesare Pianese, 2013, “Diagnosis of a Commercial PEM Fuel Cell Stack via Incomplete Spectra and Fuzzy Clustering”, 39th Annual Conference of the IEEE Industrial Electronics Society (IECON). [11] Chizhou Yan, Jian Chen, Huaxin Liu, and Huaxin Lu, “Model-based Fault Tolerant Control for the Thermal Management of PEMFC Systems,” IEEE Transactions on Industrial Electronics, vol. 67, pp. 2875-2884, April 2020. [12] Hao Liu, Jian Chen, Daniel Hissel, Hongye Su, “Remaining Useful Life Estimation for Proton Exchange Membrane Fuel Cells Using a Hybrid Method,” Applied Energy, vol. 237, pp. 910-919, March 2019。 [13] Huaxin Lu, Jian Chen, Chizhou Yan, and Huaxin Liu, “On-Line Fault Diagnosis for Proton Exchange Membrane Fuel Cells Based on a Fast Electrochemical Impedance Spectroscopy Measurement,” Journal of Power Sources, vol. 430, no. 1, pp. 233-243, August 2019 [14] Hao Liu, Jian Chen, Daniel Hissel, Jianguo Lu, Min Hou, and Zhigang Shao, “Prognostics methods and degradation indexes of proton exchange membrane fuel cells: A review,” Renewable and Sustainable Energy Reviews, vol. 123, pp. 109721, May 2020. [15] Jian Chen, Zhiyang Liu, Fan Wang, Quan Ouyang, Hongye Su, 2018, “Optimal Oxygen Excess Ratio Control for PEM Fuel Cells,” IEEE Transactions on Control Systems Technology. [16] Jian Chen, Chenfeng Xu, Chengshuai Wu, Weihua Xu, 2016, “Adaptive fuzzy logic control of fuel-cell- battery hybrid systems for electric vehicles,” IEEE Transactions on Industrial Informatics.
You can also read