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Zhongliang LI

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Documents

Presentation

Welcome to Zhongliang's homepage! --------------------------------- Hi, there, I am Zhongliang LI. I was born in the city named Jiamusi located in the northeast of China. My hometown is considered as one of the coldest place in China. In 2005, I have done well in the yearly university entrance examination and was thus able to enter Tsinghua University which is known as the top 2 university of China. I have passed 6 years in the departement of electrical engineering in Tsinghua where I obtained my BS and MS degrees respectively in 2009 and 2011. In 2011, thanks to the financial support of one French ANR project, I was able to come to France and began my PhD career. My PhD work, on fault diagnosis of fuel cell systems, was started in Marseille [LSIS laboratory (UMR CNRS 7296)](http://www.lsis.org/). The second half of my PhD thesis was carried out in another lab [FCLAB (FR CNRS 3539)](http://www.fclab.fr/) located in Belfort. On 16th september of 2014, I successfully defended my thesis in Belfort. After that, I worked as a Postdoc in FCLAB and [FEMTO-ST/Energy](http://www.femto-st.fr/fr/Departements-de-recherche/ENERGIE/Presentation/) until August of 2016. On September 2016, I was hired as an associate professor by Aix-Marseille University where I am working actually. My research work is mainly carried out in [LIS laboratory (UMR CNRS 7020)](http://www.lis-lab.fr/). Regarding the advances in both automation and information domains, the current operations of different energy systems are nevertheless far from "intelligent". Meanwhile, when we try to penetrate the recent exciting developments in automation and information into those energy systems, new problems always float out and challenge the state-of-the-art techniques. My research interests are therefore oriented to bridge the gap between intelligent methodologies and their applications in energy systems. I believe that this research should be one of key subjects in worldwide scale in the ongoing and the next decades.

Publications

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A Critical Review of Proton Exchange Membrane Fuel Cells Matter Transports and Voltage Polarisation for Modelling

Raphaël Gass , Zhongliang Li , Rachid Outbib , Samir Jemei , Daniel Hissel
Journal of The Electrochemical Society, 2024, ⟨10.1149/1945-7111/ad305a⟩
Journal articles hal-04493419v3

Optimal post-prognostics decision making for multi-stack fuel cells in transportation: toward joint load allocation and maintenance scheduling

Jian Zuo , Nadia Yousfi Steiner , Zhongliang Li , Catherine Cadet , Christophe Bérenguer
IEEE Transactions on Transportation Electrification, inPress, pp.1-1. ⟨10.1109/TTE.2024.3423404⟩
Journal articles hal-04744788v1
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Degradation identification and prognostics of proton exchange membrane fuel cell under dynamic load

Meiling Yue , Zhongliang Li , Robin Roche , Samir Jemei , Noureddine Zerhouni
Control Engineering Practice, 2022, 118, pp.104959. ⟨10.1016/j.conengprac.2021.104959⟩
Journal articles hal-03597568v1
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Symbolic deep learning based prognostics for dynamic operating proton exchange membrane fuel cells

Chu Wang , Zhongliang Li , Rachid Outbib , Manfeng Dou , Dongdong Zhao
Applied Energy, 2022, 305, pp.117918. ⟨10.1016/j.apenergy.2021.117918⟩
Journal articles hal-03362764v1
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Realization of the optimal sizing of local hybrid photovoltaic and wind energy systems with load scheduling capacity

Majdi Saidi , Zhongliang Li , Seifeddine Ben Elghali , Rachid Outbib
International Journal of Energy Research, inPress, ⟨10.1002/er.7828⟩
Journal articles hal-03599232v1
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A fusion prognostics strategy for fuel cells operating under dynamic conditions

Chu Wang , Manfeng Dou , Zhongliang Li , Rachid Outbib , Dongdong Zhao
eTransportation, 2022, 12, pp.100166. ⟨10.1016/j.etran.2022.100166⟩
Journal articles hal-03642009v1
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A novel long short-term memory networks-based data-driven prognostic strategy for proton exchange membrane fuel cells

Chu Wang , Zhongliang Li , Rachid Outbib , Manfeng Dou , Dongdong Zhao
International Journal of Hydrogen Energy, 2022, 47 (18), pp.10395-10408. ⟨10.1016/j.ijhydene.2022.01.121⟩
Journal articles hal-03581357v1
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Gain‐scheduling control of dynamic lateral lane change for automated and connected vehicles based on the multipoint preview

Zhigen Nie , Zhongliang Li , Wanqiong Wang , Weiqiang Zhao , Yufeng Lian
IET Intelligent Transport Systems, 2020, 14, pp.1338 - 1349. ⟨10.1049/iet-its.2020.0050⟩
Journal articles hal-03597387v1

A Novel Deep Belief Network and Extreme Learning Machine Based Performance Degradation Prediction Method for Proton Exchange Membrane Fuel Cell

Yucen Xie , Jianxiao Zou , Zhongliang Li , Fei Gao , Chao Peng
IEEE Access, 2020, 8, pp.176661-176675. ⟨10.1109/ACCESS.2020.3026487⟩
Journal articles hal-03594290v1

Data-Fusion Prognostics of Proton Exchange Membrane Fuel Cell Degradation

Rui Ma , Zhongliang Li , Elena Virginia Breaz , Chen Liu , Hao Bai
IEEE Transactions on Industry Applications, 2019, 55 (4), pp.4321 - 4331
Journal articles hal-02299960v1
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BMC Energy A review of the applications of fuel cells in microgrids: opportunities and challenges

Zhongliang Li , Zhixue Zheng , Liangfei Xu , Xiaonan Lu
BMC Energy, 2019, 1 (8), ⟨10.1186/s42500-019-0008-3⟩
Journal articles hal-02495945v1
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Fault diagnosis for PEMFC systems in consideration of dynamic behaviors and spatial inhomogeneity

Zhongliang Li , Rachid Outbib , Stefan Giurgea , Daniel Hissel
IEEE Transactions on Energy Conversion, 2019, 34 (1), pp.1-1. ⟨10.1109/TEC.2018.2824902⟩
Journal articles hal-02004082v1
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A review of the applications of fuel cells in microgrids: opportunities and challenges

Zhongliang Li , Zhixue Zheng , Liangfei Xu , Xiaonan Lu
Journal articles hal-02473924v1

Diagnosis for PEMFC based on magnetic measurements and data-driven approach

Zhongliang Li , Catherine Cadet , Rachid Outbib
IEEE Transactions on Energy Conversion, 2019, 34 (2), pp.963-972. ⟨10.1109/TEC.2018.2872118⟩
Journal articles hal-01894533v1
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Adaptive Prognostic of Fuel Cells by Implementing Ensemble Echo State Networks in Time-Varying Model Space

Zhongliang Li , Zhixue Zheng , Rachid Outbib
IEEE Transactions on Industrial Electronics, 2019, 67, ⟨10.1109/TIE.2019.2893827⟩
Journal articles hal-02475763v1
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Numerical Stiffness Analysis for Solid Oxide Fuel Cell Real-Time Simulation Applications

Rui Ma , Zhongliang Li , Elena Breaz , Briois Pascal , Fei Gao
IEEE Transactions on Energy Conversion, 2018, 33 (4), pp.1917-1928. ⟨10.1109/TEC.2018.2849930⟩
Journal articles hal-02004120v1

Co-oxidation Modeling for a Syngas Supplied Micro Tubular Solid Oxide Fuel Cell

Rui Ma , Elena Virginia Breaz , Zhongliang Li , Pascal Briois , Fei Gao
IEEE Transactions on Industry Applications, 2018, 54 (5), pp.4917 - 4926
Journal articles hal-02131065v1

Hybrid modeling of power electronic system for hardware-in-the-loop application

Chen Liu , Rui Ma , Hao Bai , Zhongliang Li , Franck Gechter
Electric Power Systems Research, 2018, 163, pp.502-512. ⟨10.1016/j.epsr.2018.06.018⟩
Journal articles hal-02004133v1

Hybrid modeling of power electronic system for hardware-in-the-loop application

Chen Liu , Rui Ma , Hao Bai , Zhongliang Li , Franck Gechter
Electric Power Systems Research, 2018, 163 (A), pp.502 - 512
Journal articles hal-02299964v1

FPGA-Based Real-time Simulation of High-Power Electronic System with Nonlinear IGBT Characteristics

Chen Liu , Rui Ma , Hao Bai , Zhongliang Li , Franck Gechter
IEEE Journal of Emerging and Selected Topics in Power Electronics, 2018, 7 (1), pp.41-51. ⟨10.1109/JESTPE.2018.2873157⟩
Journal articles hal-02004142v1

Data-driven proton exchange membrane fuel cell degradation predication through deep learning method

Rui Ma , Tao Yang , Elena Virginia Breaz , Zhongliang Li , Pascal Briois
Applied Energy, 2018, 231, pp.102 - 115
Journal articles hal-02299953v1

A System-Level FPGA-Based Hardware-in-the-Loop Test of High-Speed Train

Chen Liu , Xizheng Guo , Rui Ma , Zhongliang Li , Franck Gechter
IEEE Transactions on Transportation Electrification, 2018, 4 (4), pp.912-921. ⟨10.1109/TTE.2018.2866696⟩
Journal articles hal-02004131v1
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Fault diagnosis for fuel cell systems: A data-driven approach using high-precise voltage sensors

Zhongliang Li , Rachid Outbib , Stefan Giurgea , Daniel Hissel , Alain Giraud
Renewable Energy, 2018, 135, pp.1435-1444. ⟨10.1016/j.renene.2018.09.077⟩
Journal articles hal-02004101v1
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Online implementation of SVM based fault diagnosis strategy for PEMFC systems

Zhongliang Li , Rachid Outbib , Stefan Giurgea , Daniel Hissel , Samir Jemei
Applied Energy, 2016, 164, pp.284-293. ⟨10.1016/j.apenergy.2015.11.060⟩
Journal articles cea-01846859v1

Fault detection and isolation for Polymer Electrolyte Membrane Fuel Cell systems by analyzing cell voltage generated space

Zhongliang Li , Rachid Outbib , Stefan Giurgea , Daniel Hissel , Yongdong Li
Applied Energy, 2015, 148, pp.260-272
Journal articles hal-02004071v1
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Diagnosis for PEMFC Systems: A Data-Driven Approach With the Capabilities of Online Adaptation and Novel Fault Detection

Zhongliang Li , Rachid Outbib , Stefan Giurgea , Daniel Hissel
IEEE Transactions on Industrial Electronics, 2015, 62 (8), pp.5164-5174. ⟨10.1109/TIE.2015.2418324⟩
Journal articles hal-02004105v1
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Data-driven diagnosis of PEM fuel cell: A comparative study

Zhongliang Li , Rachid Outbib , Daniel Hissel , Stefan Giurgea
Control Engineering Practice, 2014, 28, pp.1-12
Journal articles hal-01113297v1

Online Diagnosis of PEMFC by Combining Support Vector Machine and Fluidic Model

Zhongliang Li , S. Giurgea , R. Outbib , D. Hissel
Fuel Cells, 2014, 14 (3), pp.448-456. ⟨10.1002/fuce.201300197⟩
Journal articles hal-02476496v1
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A load allocation strategy for stochastically deteriorating multi-stack PEM fuel cells

Jian Zuo , Catherine Cadet , Zhongliang Li , Christophe Bérenguer , Rachid Outbib
ESREL 2022 - 32nd European Safety and Reliability Conference (ESREL 2022), Aug 2022, Dublin, Ireland. pp.R22-01-051, ⟨10.3850/978-981-18-5183-4_R22-01-051-cd⟩
Conference papers hal-03843418v1
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Reinforcement Learning based Energy Management for Fuel Cell Hybrid Electric Vehicles

Liang Guo , Zhongliang Li , Rachid Outbib
IECON 2021 - 47th Annual Conference of the IEEE Industrial Electronics Society, Oct 2021, Toronto, Canada. pp.1-6, ⟨10.1109/IECON48115.2021.9589725⟩
Conference papers hal-03597556v1
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Proton Exchange Membrane Fuel Cells Prognostic Strategy Based on Navigation Sequence Driven Long Short-term Memory Networks

Chu Wang , Zhongliang Li , Rachid Outbib , Dongdong Zhao , Douman Feng
46th Annual Conference of the IEEE Industrial Electronics Society (IECON 2020), Oct 2020, Singapour, Singapore. pp.3969-3974, ⟨10.1109/IECON43393.2020.9255373⟩
Conference papers hal-03150117v1
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Optimal Sizing of Mobile Hybrid Off-Grid Multi-Sources Installation

Majdi Saidi , Seifeddine Ben Elghali , Zhongliang Li , Rachid Outbib , Thiery Le Roux
IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society, Oct 2019, Lisbon, Portugal. pp.2434-2439, ⟨10.1109/IECON.2019.8927442⟩
Conference papers hal-02476363v1
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Energy management for hybrid energy storage systems: a comparison of current tracking control methods

Zhongliang Li , Seifeddine Ben Elghali , Rachid Outbib
IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Oct 2017, Beijing, France. pp.7128-7133, ⟨10.1109/IECON.2017.8217247⟩
Conference papers hal-02476470v1

Remaining useful life estimation for PEMFC in dynamic operating conditions

Zhongliang Li , Rafael Gouriveau , Daniel Hissel , Noureddine Zerhouni
Vehicle Power and Propulsion Conference, Oct 2016, Hangzhou, China
Conference papers hal-02380268v1
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Online implementation of SVM based fault diagnosis strategy for PEMFC system

Zhongliang Li , Rachid Outbib , Stefan Giurgea , Daniel Hissel , Samir Jemei
the 6th International Conference on ”Fundamentals & Development of Fuel Cells” (FDFC), Feb 2015, Toulouse, France
Conference papers hal-01113589v1
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Online implementation of SVM based fault diagnosis strategy for PEMFC systems

Zhongliang Li , Rachid Outbib , Stefan Giurgea , Daniel Hissel , Samir Jemei
6th International Conference on ”Fundamentals & Development of Fuel Cells” (FDFC), Feb 2015, Toulouse, France. pp.284-293
Conference papers cea-01942197v1
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Agriculture Big Data: Research Status, Challenges and Countermeasures

Haoran Zhang , Xuyang Wei , Tengfei Zou , Zhongliang Li , Guocai Yang
8th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2014, Beijing, China. pp.137-143, ⟨10.1007/978-3-319-19620-6_17⟩
Conference papers hal-01420224v1
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Diagnosis of PEMFC by using data-driven parity space strategy

Zhongliang Li , Rachid Outbib , Daniel Hissel , Stefan Giurgea
2014 European Control Conference (ECC), Jun 2014, Strasbourg, France. pp.1268-1273, ⟨10.1109/ECC.2014.6862527⟩
Conference papers hal-02476458v1
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Fault diagnosis and novel fault type detection for PEMFC system based on Spherical-Shaped Multiple-class Support Vector Machine

Zhongliang Li , Stefan Giurgea , Rachid Outbib , Daniel Hissel
2014 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), Jul 2014, Besacon, France. pp.1628-1633, ⟨10.1109/AIM.2014.6878317⟩
Conference papers hal-02476369v1
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Online diagnosis of PEMFC by analyzing individual cell voltages

Zhongliang Li , Rachid Outbib , Daniel Hissel , Stefan Giurgea
2013 European Control Conference (ECC), Jul 2013, Zurich, France. pp.2439-2444, ⟨10.23919/ECC.2013.6669725⟩
Conference papers hal-02476449v1

A Statistical Approach to Diagnose Humidification-Related Failures for PEMFC

Zhongliang Li , Rachid Outbib , Stefan Giurgea , Daniel Hissel
Fundamentals and Developments of Fuel Cells, FDFC'2013, Jan 2013, Germany. pp.P068
Conference papers hal-00906706v1

Diagnosis and prognosis of proton exchange membrane fuel cells

Zhongliang Li , Zhixue Zheng , Fei Gao
Abdenour Soualhi; Hubert Razik. Electrical Systems 2From Diagnosis to Prognosis, ISTE, 2020, 9781786306081. ⟨10.1002/9781119720584.ch5⟩
Book sections hal-02496139v1
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Data-driven fault diagnosis for PEMFC systems

Zhongliang Li
Automatic. UNIVERSITE D'AIX-MARSEILLE, 2014. English. ⟨NNT : ⟩
Theses tel-01275281v1