The 46th Annual Conference of the IEEE Industrial Electronics Society - IECON 2020
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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
