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Zhongliang LI's homepage

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). The second half of my PhD thesis was carried out in another lab FCLAB (FR CNRS 3539) 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 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).

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. 

Journal articles26 documents

  • Chu Wang, Manfeng Dou, Zhongliang Li, Rachid Outbib, Dongdong Zhao, et al.. A Fusion Prognostics Strategy for Fuel Cells Operating under Dynamic Conditions. eTransportation, Elsevier B.V., In press, ⟨10.1016/j.etran.2022.100166⟩. ⟨hal-03642009⟩
  • Chu Wang, Zhongliang Li, Rachid Outbib, Manfeng Dou, Dongdong Zhao. A novel long short-term memory networks-based data-driven prognostic strategy for proton exchange membrane fuel cells. International Journal of Hydrogen Energy, Elsevier, 2022, 47 (18), pp.10395-10408. ⟨10.1016/j.ijhydene.2022.01.121⟩. ⟨hal-03581357⟩
  • Meiling yue, Zhongliang Li, Robin Roche, Samir Jemei, Noureddine Zerhouni. Degradation identification and prognostics of proton exchange membrane fuel cell under dynamic load. Control Engineering Practice, Elsevier, 2022, 118, pp.104959. ⟨10.1016/j.conengprac.2021.104959⟩. ⟨hal-03597568⟩
  • Chu Wang, Zhongliang Li, Rachid Outbib, Manfeng Dou, Dongdong Zhao. Symbolic deep learning based prognostics for dynamic operating proton exchange membrane fuel cells. Applied Energy, Elsevier, 2022, 305, pp.117918. ⟨10.1016/j.apenergy.2021.117918⟩. ⟨hal-03362764⟩
  • Majdi Saidi, Zhongliang Li, Seifeddine Ben Elghali, Rachid Outbib. Realization of the optimal sizing of local hybrid photovoltaic and wind energy systems with load scheduling capacity. International Journal of Energy Research, Wiley, In press, ⟨10.1002/er.7828⟩. ⟨hal-03599232⟩
  • yucen Xie, Jianxiao Zou, Zhongliang Li, Fei Gao, Chao Peng. A Novel Deep Belief Network and Extreme Learning Machine Based Performance Degradation Prediction Method for Proton Exchange Membrane Fuel Cell. IEEE Access, IEEE, 2020, 8, pp.176661-176675. ⟨10.1109/ACCESS.2020.3026487⟩. ⟨hal-03594290⟩
  • Zhigen Nie, Zhongliang Li, Wanqiong Wang, Weiqiang Zhao, yufeng Lian, et al.. Gain‐scheduling control of dynamic lateral lane change for automated and connected vehicles based on the multipoint preview. IET Intelligent Transport Systems, Institution of Engineering and Technology, 2020, 14, pp.1338 - 1349. ⟨10.1049/iet-its.2020.0050⟩. ⟨hal-03597387⟩
  • Zhongliang Li, Zhixue Zheng, Rachid Outbib. Adaptive Prognostic of Fuel Cells by Implementing Ensemble Echo State Networks in Time-Varying Model Space. IEEE Transactions on Industrial Electronics, Institute of Electrical and Electronics Engineers, 2019, 67, ⟨10.1109/TIE.2019.2893827⟩. ⟨hal-02475763⟩
  • Zhongliang Li, Catherine Cadet, Rachid Outbib. Diagnosis for PEMFC based on magnetic measurements and data-driven approach. IEEE Transactions on Energy Conversion, Institute of Electrical and Electronics Engineers, 2019, 34 (2), pp.963-972. ⟨10.1109/TEC.2018.2872118⟩. ⟨hal-01894533⟩
  • Zhongliang Li, Zhixue Zheng, Liangfei Xu, Xiaonan Lu. A review of the applications of fuel cells in microgrids: opportunities and challenges. BMC Energy, Springer-Nature, 2019, ⟨10.1186/s42500-019-0008-3⟩. ⟨hal-02473924⟩
  • Zhongliang Li, Zhixue Zheng, Liangfei Xu, Xiaonan Lu. BMC Energy A review of the applications of fuel cells in microgrids: opportunities and challenges. BMC Energy, Springer-Nature, 2019, 1 (8), ⟨10.1186/s42500-019-0008-3⟩. ⟨hal-02495945⟩
  • Zhongliang Li, Rachid Outbib, Stefan Giurgea, Daniel Hissel. Fault diagnosis for PEMFC systems in consideration of dynamic behaviors and spatial inhomogeneity. IEEE Transactions on Energy Conversion, Institute of Electrical and Electronics Engineers, 2019, 34 (1), pp.1-1. ⟨10.1109/TEC.2018.2824902⟩. ⟨hal-02004082⟩
  • Rui Ma, Zhongliang Li, Elena Virginia Breaz, Chen Liu, Hao Bai, et al.. Data-Fusion Prognostics of Proton Exchange Membrane Fuel Cell Degradation. IEEE Transactions on Industry Applications, Institute of Electrical and Electronics Engineers, 2019, 55 (4), pp.4321 - 4331. ⟨hal-02299960⟩
  • Chen Liu, Xizheng Guo, Rui Ma, Zhongliang Li, Franck Gechter, et al.. A System-Level FPGA-Based Hardware-in-the-Loop Test of High-Speed Train. IEEE Transactions on Transportation Electrification, Institute of Electrical and Electronics Engineers, 2018, 4 (4), pp.912-921. ⟨10.1109/TTE.2018.2866696⟩. ⟨hal-02004131⟩
  • Zhongliang Li, Rachid Outbib, Stefan Giurgea, Daniel Hissel, Alain Giraud, et al.. Fault diagnosis for fuel cell systems: A data-driven approach using high-precise voltage sensors. Renewable Energy, Elsevier, 2018, 135, pp.1435-1444. ⟨10.1016/j.renene.2018.09.077⟩. ⟨hal-02004101⟩
  • Chen Liu, Rui Ma, Hao Bai, Zhongliang Li, Franck Gechter, et al.. Hybrid modeling of power electronic system for hardware-in-the-loop application. Electric Power Systems Research, 2018, 163 (A), pp.502 - 512. ⟨hal-02299964⟩
  • Chen Liu, Rui Ma, Hao Bai, Zhongliang Li, Franck Gechter, et al.. FPGA-Based Real-time Simulation of High-Power Electronic System with Nonlinear IGBT Characteristics. IEEE Journal of Emerging and Selected Topics in Power Electronics, Institute of Electrical and Electronics Engineers, 2018, 7 (1), pp.41-51. ⟨10.1109/JESTPE.2018.2873157⟩. ⟨hal-02004142⟩
  • Rui Ma, Zhongliang Li, Elena Breaz, Briois Pascal, Fei Gao. Numerical Stiffness Analysis for Solid Oxide Fuel Cell Real-Time Simulation Applications. IEEE Transactions on Energy Conversion, Institute of Electrical and Electronics Engineers, 2018, 33 (4), pp.1917-1928. ⟨10.1109/TEC.2018.2849930⟩. ⟨hal-02004120⟩
  • Rui Ma, Elena Virginia Breaz, Zhongliang Li, Pascal Briois, Fei Gao. Co-oxidation Modeling for a Syngas Supplied Micro Tubular Solid Oxide Fuel Cell. IEEE Transactions on Industry Applications, Institute of Electrical and Electronics Engineers, 2018, 54 (5), pp.4917 - 4926. ⟨hal-02131065⟩
  • Rui Ma, Tao yang, Elena Virginia Breaz, Zhongliang Li, Pascal Briois, et al.. Data-driven proton exchange membrane fuel cell degradation predication through deep learning method. Applied Energy, Elsevier, 2018, 231, pp.102 - 115. ⟨hal-02299953⟩
  • Chen Liu, Rui Ma, Hao Bai, Zhongliang Li, Franck Gechter, et al.. Hybrid modeling of power electronic system for hardware-in-the-loop application. Electric Power Systems Research, Elsevier, 2018, 163, pp.502-512. ⟨10.1016/j.epsr.2018.06.018⟩. ⟨hal-02004133⟩
  • Zhongliang Li, Rachid Outbib, Stefan Giurgea, Daniel Hissel, Samir Jemei, et al.. Online implementation of SVM based fault diagnosis strategy for PEMFC systems. Applied Energy, Elsevier, 2016, 164, pp.284-293. ⟨10.1016/j.apenergy.2015.11.060⟩. ⟨cea-01846859⟩
  • Zhongliang Li, Rachid Outbib, Stefan Giurgea, Daniel Hissel. Diagnosis for PEMFC Systems: A Data-Driven Approach With the Capabilities of Online Adaptation and Novel Fault Detection. IEEE Transactions on Industrial Electronics, Institute of Electrical and Electronics Engineers, 2015, 62 (8), pp.5164-5174. ⟨10.1109/TIE.2015.2418324⟩. ⟨hal-02004105⟩
  • Zhongliang Li, Rachid Outbib, Stefan Giurgea, Daniel Hissel, yongdong Li. Fault detection and isolation for Polymer Electrolyte Membrane Fuel Cell systems by analyzing cell voltage generated space. Applied Energy, Elsevier, 2015, 148, pp.260-272. ⟨hal-02004071⟩
  • Zhongliang Li, S. Giurgea, R. Outbib, D. Hissel. Online Diagnosis of PEMFC by Combining Support Vector Machine and Fluidic Model. Fuel Cells, Wiley-VCH Verlag, 2014, 14 (3), pp.448-456. ⟨10.1002/fuce.201300197⟩. ⟨hal-02476496⟩
  • Zhongliang Li, Rachid Outbib, Daniel Hissel, Stefan Giurgea. Data-driven diagnosis of PEM fuel cell: A comparative study. Control Engineering Practice, Elsevier, 2014, 28, pp.1-12. ⟨hal-01113297⟩

Conference papers12 documents

  • Liang Guo, Zhongliang Li, Rachid Outbib. Reinforcement Learning based Energy Management for Fuel Cell Hybrid Electric Vehicles. IECON 2021 - 47th Annual Conference of the IEEE Industrial Electronics Society, Oct 2021, Toronto, Canada. pp.1-6, ⟨10.1109/IECON48115.2021.9589725⟩. ⟨hal-03597556⟩
  • Chu Wang, Zhongliang Li, Rachid Outbib, Dongdong Zhao, Douman Feng. Proton Exchange Membrane Fuel Cells Prognostic Strategy Based on Navigation Sequence Driven Long Short-term Memory Networks. 46th Annual Conference of the IEEE Industrial Electronics Society (IECON 2020), Oct 2020, Singapour, Singapore. pp.3969-3974, ⟨10.1109/IECON43393.2020.9255373⟩. ⟨hal-03150117⟩
  • Majdi Saidi, Seifeddine Ben Elghali, Zhongliang Li, Rachid Outbib, Thiery Le Roux, et al.. Optimal Sizing of Mobile Hybrid Off-Grid Multi-Sources Installation. IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society, Oct 2019, Lisbon, Portugal. pp.2434-2439, ⟨10.1109/IECON.2019.8927442⟩. ⟨hal-02476363⟩
  • Zhongliang Li, Seifeddine Ben Elghali, Rachid Outbib. Energy management for hybrid energy storage systems: a comparison of current tracking control methods. IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Oct 2017, Beijing, France. pp.7128-7133, ⟨10.1109/IECON.2017.8217247⟩. ⟨hal-02476470⟩
  • Zhongliang Li, Rafael Gouriveau, Daniel Hissel, Noureddine Zerhouni. Remaining useful life estimation for PEMFC in dynamic operating conditions. Vehicle Power and Propulsion Conference, Oct 2016, Hangzhou, China. ⟨hal-02380268⟩
  • Zhongliang Li, Rachid Outbib, Stefan Giurgea, Daniel Hissel, Samir Jemei, et al.. Online implementation of SVM based fault diagnosis strategy for PEMFC systems. 6th International Conference on ”Fundamentals & Development of Fuel Cells” (FDFC), Feb 2015, Toulouse, France. pp.284-293. ⟨cea-01942197⟩
  • Zhongliang Li, Rachid Outbib, Stefan Giurgea, Daniel Hissel, Samir Jemei. Online implementation of SVM based fault diagnosis strategy for PEMFC system. the 6th International Conference on ”Fundamentals & Development of Fuel Cells” (FDFC), Feb 2015, Toulouse, France. ⟨hal-01113589⟩
  • Zhongliang Li, Stefan Giurgea, Rachid Outbib, Daniel Hissel. Fault diagnosis and novel fault type detection for PEMFC system based on Spherical-Shaped Multiple-class Support Vector Machine. 2014 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), Jul 2014, Besacon, France. pp.1628-1633, ⟨10.1109/AIM.2014.6878317⟩. ⟨hal-02476369⟩
  • Zhongliang Li, Rachid Outbib, Daniel Hissel, Stefan Giurgea. Diagnosis of PEMFC by using data-driven parity space strategy. 2014 European Control Conference (ECC), Jun 2014, Strasbourg, France. pp.1268-1273, ⟨10.1109/ECC.2014.6862527⟩. ⟨hal-02476458⟩
  • Haoran Zhang, Xuyang Wei, Tengfei Zou, Zhongliang Li, Guocai yang. Agriculture Big Data: Research Status, Challenges and Countermeasures. 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⟩. ⟨hal-01420224⟩
  • Zhongliang Li, Rachid Outbib, Daniel Hissel, Stefan Giurgea. Online diagnosis of PEMFC by analyzing individual cell voltages. 2013 European Control Conference (ECC), Jul 2013, Zurich, France. pp.2439-2444, ⟨10.23919/ECC.2013.6669725⟩. ⟨hal-02476449⟩
  • Zhongliang Li, Rachid Outbib, Stefan Giurgea, Daniel Hissel. A Statistical Approach to Diagnose Humidification-Related Failures for PEMFC. Fundamentals and Developments of Fuel Cells, FDFC'2013, Jan 2013, Germany. pp.P068. ⟨hal-00906706⟩

Book sections1 document

  • Zhongliang Li, Zhixue Zheng, Fei Gao. Diagnosis and prognosis of proton exchange membrane fuel cells. Abdenour Soualhi; Hubert Razik. Electrical Systems 2From Diagnosis to Prognosis, ISTE, 2020, 9781786306081. ⟨10.1002/9781119720584.ch5⟩. ⟨hal-02496139⟩

Theses1 document

  • Zhongliang Li. Data-driven fault diagnosis for PEMFC systems. Automatic. UNIVERSITE D'AIX-MARSEILLE, 2014. English. ⟨tel-01275281⟩