修身;齐家;治国;平天下。 ---- 《礼记·大学》
Cultivate oneself; Bring order to the family; Contribute to the nation; Bring peace to the world. ---- 《The Book of Rites》

This website will not be updated often. My new website is www.zhongliangli.site

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. For more details about my research, you can click the following button.

Read more about my research activity

I am now looking for the students (PhD, Master) and the researchers (Research assistant, Postdoc) who have the similar research vision to join my research team. If you are interested on my research topics, please feel free to contact me (E-Mail).

News

  • I am recently invited to organize a special issue in "Control Engineering Practice". Please track my website for the updates on this special issue.

  • Mr. Liang GUO has passed the selection of Aix-Marseille University and obtained a full PhD scholarship. He will join us in 10/2020.

  • Our tutorial proposal "Diagnosis, prognosis and fault tolerance control for fuel cell systems" has been accepted to be presented in IECON 2020.

  • I am engaged to organize a panel session "PHM for EVs" in PHMe 2020, refer http://phmeurope.org/2020/panel-session for details.

  • Some links

    Researchgate: Click here

    Googlescholar: Click here

CV photo

CV

What I experienced from 2005 to present.

Education

Profession

Research experience

  • Master

    From 2008 to 2011: Master, Departement of Electrical Engineering and Automation, Tsinghua University.

    Research Subjects:

    • Topology and control of the rectifier for multi-phase permanent magnitude synchronous generator.

    • Control strategy for parallel-connected inverters in micro-grids.

  • PhD

    From 2011 to 2014: PhD, LSIS laboratory (UMR CNRS 7296) and FCLAB (FR CNRS 3539)

    Research Subjects:

    • Data-driven real-time fault diagnosis for fuel cell systems.

  • Post-Doc

    From 2014 to 2016: Post-Doc, FCLAB (FR CNRS 3539) and FEMTO-ST/Energy departement (UMR CNRS 6174).

    Research Subjects:

    • Prognostics and Health Management for fuel cell energy systems.

  • Associate professor

    From 2016 to present: Associate professor (Maître de Conférence), LIS laboratory (UMR CNRS 7020)..

    Research Subjects:

    • Diagnostic, prognostic and fault tolerance control for fuel cell systems.

    • Design and control of hybrid energy systems.

    • Energy managment strategy designed for electric vehicles.

    • Data-driven learning based control methodologies and applications.

Teaching experience

  • Teaching assistant

    • From 2014 to 2016: Teaching assistant, Departement of Science and Engineering, University of Franche-Comté (UFC).

      Courses: Artificial Intelligence (Master level)

    • From 2013 to 2016: Teaching assistant, Departement of Energy, University of Technology of Belfort-Montbéliard (UTBM).

      Courses: Electric Machine (Engineer level), Electrotechnics bases (Engineer level)

    • From 2012 to 2013: Teaching assistant, Departement of information and interactions (DII), Aix-Marseille University.

      Courses: Optimization and numerical methods (Mater level)

  • Associate professor

    • From 2016 to present: Associate professor (Maître de Conférence), Departement of information and interactions (DII), Faculty of Science, Aix-Marseille University.

      Courses: Automatique 1 (Licence level), Homogénéisation (Master level), Association Machine et Convertiseur (Mater level)

Research

Remember that research is to establish facts and reach new conclusions.

Research key words

  • Fuel cell systems (type PEMFC): design, modeling, diagnosis, prognosis, and fault tolerance control
  • Fault diagnosis and prognosis methods
  • Energy storage
  • Powertrains of electric vehicles (EV) and fuel cell vehicles (FCV)
  • Design and control of power electronics
  • Control of converters interfacing renewable energy and electric grid
  • Energy management for micro-grids
  • Artificial intelligence and advanced control methods and their applications in electrical engineering domain

Brief description of the research topics

Energy systems, such as fuel cells, micro-grids and electric vehicles, have posed research problems in the automated field. These systems present distributed nature, multi-domain and time varying, complex dynamics, multiple time and space scales. Modeling these systems using traditional methods is almost impossible. This also challenges the existing automation theory and technology that generally operate based on a well established model. In order to overcome the difficulties, my research is devoted to data-driven learning and control and their applications in energy systems. Currently, a large amount of data is produced and stored during energy system operations. It would be very useful if the behaviors of the systems can be learned from the data. In addition, data can also be processed to directly design the controller, predicting and evaluating system states, evaluating performance, performing real-time optimization and fault diagnosis.

In my research, the data-driven methodologies cover diagnosis, prognosis and control. Three specific systems will be involved: fuel cell systems, micro-grids, electric vehicles.

Research projects

  • Past projects

    • 2016-2019: project European Commission: GIANTLEAP, Improves Automation of Non-polluting Transportation with Lifetime Extension of Automotive PEM fuel cells, Participant.
    • 2014-2016: project ADEME: PRODIG, pronostic de Durée de Vie et Garantie de services de Systèmes piles à Combustible, Participant.
    • 2011-2014: project ANR: DIAPASON 2, DIAgnostic de Pile à combustible Pour Applications automobiles et Stationaires sans instrumentatiON (2ème phase), Participant.
    • 2017-2020: “Contrôle et optimisation d’un système hybride nomade à base de sources renouvelables pour la production énergétique” Thèse CIFRE. Participant and thesis advisor.
  • Ongoing project

    • Started in 2019: "Du pronostic de la durée de vie de piles à combustibles au pronostic de systèmes énergétiques en réseau” IDEX Université Grenoble Alpes, Partner leader.
    • Started in 2020: "Realizing fuel cell durability enhancement by self-cognizant multi-level control” Open Research Project in Chinese State Key Laboratory of Industrial Control Technology (SKLICT), Principal Investigator.

Supervision

Post-Doc

  • Ongoing
    • Zhigen NIE, "Energy management for intelligent electric vehicles"

PhD

  • Ongoing
    • Majdi SAIDI, “Contrôle et optimisation d’un système hybride nomade à base de sources renouvelables pour la production énergétique”, Began in May 2017.
    • Chu WANG, “Control of Electric Motors for Electric and Hybrid Electric Vehicle Propulsion”, Began in September 2019.
    • Jian ZUO, “Development of a Fuel Cell Prognosis Approach in the Context of a Local Energy Grid”, Began in September 2019.
    • Liang GUO, “Health and Energy managements for EVs”, begin in September 2020.

Graduate students

  • Past
    • Moustapha NIANE, “Fault diagnosis for fuel cells using partial model data-driven methods”, Defended in July 2013.
    • Taher MARZOUGUI, “Support Vector Machine and its application for fault diagnosis”, Defended in July 2013.
    • Nasr-eddine ELOBI, “Modeling solar energy potential using eclarement data”, Defended in July 2017.
    • Jiaqi ZHANG, “Design of a hybrid renewable energy system in consideration of its energy management”, Defended in September 2019.
    • Lin JIN, “Co-management of energy generation and load for a hybrid energy system”, Defended in September 2019.
    • Zihan ZHU, “Energy management strategy for fuel cell hybrid vehicles using deep reinforcement learning”, Began in October 2018.
    • Dongrui LYU, “Realizing robust fuel cell prognostic through online model learning”, Began in February 2019.
  • Ongoing
    • Rui MA, will begin in October 2020.
    • Jie SUN, will begin in October 2020.

Professional activities

  • Membre: IEEE, IEEE-IES, IEEE-VTS
  • Session chair of international conference:
    • “RELIABILITY AND DURABILITY IMPROVEMENT OF THE FUEL CELL SYSTEMS IN FCEV”, IEEE VPPC 2016
    • “Recent Advances in Energy Management Strategies for Hybrid Electric Vehicles”, I IEEE IECON 2017
  • Guest Editor of journal:
    • Special Issue “High Voltage Engineering” in Journal of Engineering
  • Active reviewer of journals and conferences: IEEE Transactions on Industrial Electronics, International journal of hydrogen energy, Fuel cells, Sensors, etc.

Publication

Some of my research work is published and shown below.

Journal articles

  1. (New!!!) Zhongliang LI, Zhixue, ZHENG, Liangfei Xu, Xiaonan Lu, "A review of the applications of fuel cells in microgrids: opportunities and challenges", BMC Energy, In press. (download adress available soon)
  2. (New!!!) Rui MA, Zhongliang LI, et al. (2019), “Data-Fusion Prognostics of Proton Exchange Membrane Fuel Cell Degradation”, IEEE Transactions on Industry Applications. (doi: 10.1109/TIA.2019.2911846)
  3. 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, In press. (URL:http://dx.doi.org/10.1109/TIE.2019.2893827)
  4. 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, vol. 62, no. 8, pp. 5164-5174, ISSN 0278-0046, Aug. 2015. (URL:http://dx.doi.org/10.1109/TIE.2015.2418324)
  5. 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, vol. 148, pp. 260-272, ISSN 0306-2619, Jun. 2015. (URL: http://dx.doi.org/10.1016/j.apenergy.2015.03.076)
  6. Zhongliang LI, Rachid OUTBIB, Daniel HISSEL, Stefan GIURGEA, "Data-driven diagnosis of PEM fuel cell: A comparative study", Control Engineering Practice, vol. 28, pp. 1-12, ISSN 0967-0661, Jul. 2014. (URL: http://dx.doi.org/10.1016/j.conengprac.2014.02.019)
  7. Zhongliang LI, Stefan GIURGEA, Rachid OUTBIB, Daniel HISSEL, "Online Diagnosis of PEMFC by Combining Support Vector Machine and Fluidic Model", Fuel Cells, vol. 14, pp. 448–456. ISSN 1615-6854, Jun. 2014. (URL: http://dx.doi.org/10.1002/fuce.201300197)
  8. Zhongliang LI, Rachid OUTBIB, Stefan GIURGEA, Daniel HISSEL, Samir JEMEI, Alain GIRAUD, Sébastien ROSINI, "Online implementation of SVM based fault diagnosis strategy for PEMFC systems", Applied Energy , vol. 164, pp. 284-293, ISSN 0306-2619, Feb. 2016. (URL: http://dx.doi.org/10.1016/j.apenergy.2015.11.060)
  9. Zhongliang LI, Rachid OUTBIB, Stefan GIURGEA, Daniel HISSEL, "Fault diagnosis for PEMFC systems in consideration of dynamic behaviors and spatial inhomogeneity", in IEEE Transactions on Energy Conversion (DOI: 10.1109/TEC.2018.2824902).
  10. Zhongliang LI, Catherine CADET, and Rachid OUTBIB, "Diagnosis for PEMFC based on magnetic measurements and data-driven approach," in IEEE Transactions on Energy Conversion. (URL:10.1109/TEC.2018.2872118)
  11. Zhongliang LI, Rachid OUTBIB, Stefan GIURGEA, Daniel HISSEL, Alain GIRAUD, Pascal COUDERC, "Fault diagnosis for fuel cell systems: A data-driven approach using high-precise voltage sensors," in Renewable Energy. (URL:https://doi.org/10.1016/j.renene.2018.09.077)
  12. Zhongliang LI, Zhixue ZHENG, Rachid OUTBIB, "A prognostic methodology for power MOSFETs under thermal stress using echo state network and particle filter," in Microelectronics Reliability. (URL:https://doi.org/10.1016/j.microrel.2018.07.137)
  13. Rui MA, Zhongliang LI, Elena BREAZ, Pascal BRIOIS, Fei GAO, "Numerical Stiffness Analysis for Solid Oxide Fuel Cell Real-time Simulation Applications," in IEEE Transactions on Energy Conversion. (URL:10.1109/TEC.2018.2872118)
  14. Rui MA, Tao YANG, Elena BREAZ, Zhongliang LI, Pascal BRIOIS, Fei GAO, "Data-driven proton exchange membrane fuel cell degradation predication through deep learning method," in Applied Energy. (URL:https://doi.org/10.1016/j.apenergy.2018.09.111.)
  15. Rui MA, Elena BREAZ, Zhongliang LI, Pascal BRIOIS, Fei GAO, "Co-oxidation modeling for a syngas supplied micro tubular solid oxide fuel cell," in IEEE Transactions on Industry Applications . (URL:https://ieeexplore.ieee.org/document/8375686)
  16. C. LIU, X. GUO, R. MA, Z. LI, F. Gechter, F. Gao, "A System-Level FPGA-based Hardware-in-the-Loop Test of High-speed Train", in IEEE Trans. on Transportation Electrification. (URL:DOI: 10.1109/TTE.2018.2866696)
  17. Chen Liu, Rui Ma, Hao Bai, Zhongliang Li, Franck Gechter, Fei Gao, "Hybrid modeling of power electronic system for hardware-in-the-loop application", in Electric Power Systems Research. (URL:https://doi.org/10.1016/j.epsr.2018.06.018.)
  18. Chen Liu, Rui Ma, Hao Bai, Zhongliang Li, Frank Gechter and F. Gao, "FPGA-Based Real-time Simulation of High-Power Electronic System with Nonlinear IGBT Characteristics," in IEEE Journal of Emerging and Selected Topics in Power Electronics. (URL:https://ieeexplore.ieee.org/document/8478384)

Conference papers

  1. Zhongliang LI, Rachid OUTBIB, Daniel HISSEL, Stefan GIURGEA, Diagnosis of PEMFC by using data-driven parity space strategy, In Proc. European Control Conference (ECC) 2014, pp.1268-1273, Strasbourg, Jun. 2014.
  2. Zhongliang LI, Rachid OUTBIB, Daniel HISSEL, Stefan GIURGEA, Online diagnosis of PEMFC by analyzing individual cell voltages, In Proc. European Control Conference (ECC) 2013, pp. 2439-2444, Jul. 2013.
  3. Zhongliang LI, Rachid OUTBIB, Stefan GIURGEA, Daniel HISSEL, Samir JEMEI, Alain GIRAUD, Sébastien ROSINI, Online implementation of SVM based fault diagnosis strategy for PEMFC systems, In Proc. 6th International Conference on Fundamentals and Developments of Fuel Cells, FDFC'2015, P048, Toulouse, Feb. 2015.
  4. Zhongliang LI, Stefan GIURGEA, Rachid OUTBIB, Daniel HISSEL, Online Diagnosis of PEMFC by Combining Support Vector Machine and Fluidic Model, In Proc. 6th International Conference on Fundamentals and Developments of Fuel Cells, FDFC'2013, P069, 2013.
  5. 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, In Proc. Advanced Intelligent Mechatronics (AIM) 2014, pp.1628-1633, Besançon, Jul. 2014.
  6. Zhongliang LI, Xudong SUN, Jianyun CHAI, Proportional power sharing control for parallel-connected inverters, In Proc. Electric Utility Deregulation and Restructuring and Power Technologies (DRPT) 2011, pp.1647-1651, Qingdao, July 2011.
  7. Zhongliang LI, Rachid OUTBIB, Stefan GIURGEA, Daniel HISSEL, Diagnosis of PEMFC by using statistical analysis, In Proc. Integrated Modeling and Analysis in Applied Control and Automation (IMAACA) 2012, pp.191-198, Vienna, 2012.
  8. Zhongliqng LI, Stefan GIURGEA, Rachid OUTBIB, Daniel HISSEL, Fault detection and isolation of PEMFC system: a classification approach, In Proc. International Discussion on Hydrogen Energy and Applications (IDHEA) 2014, P49, Nantes, 2014.
  9. Zhongliang LI, Samir JEMEI, Rafael Gouriveau, Daniel HISSEL, Noureddine Zerhouni, Remaining useful life estimation for PEMFC in dynamic operating conditions, In Proc. Vehicular Power and Propulsion Conference (VPPC) 2016, pp. 1-6, Hangzhou, 2016.
  10. Zhongliang LI, Seifeddine BEN ELGHALI, Rachid OUTBIB, Energy management for hybrid energy storage systems: a comparison of current tracking control methods, In Proc. 43rd Annual Conference of the IEEE Industrial Electronics Society (IECON) 2017.
  11. Zhongliang LI, Rachid OUTBIB, PHM oriented behavior modeling for PEM fuel cell systems via Delayed Feedback Reservoir Computing Model, In Proc. Integrated Modeling and Analysis in Applied Control and Automation (IMAACA) 2017.
  12. Majdi SAIDI, Zhongliang LI, Rachid OUTBIB, et al., ``Realizing optimum design of a hybrid renewable energy system using multi-objective evolutionary algorithm, In Proc. Integrated Modeling and Analysis in Applied Control and Automation (IMAACA) 2018.
  13. Zhongliang LI, Zheng ZHENG, Rachid OUTBIB, ``A Prognostic Methodology for Power MOSFETs Under Thermal Stress Using Echo State Network and Particle Filter", In Proc. 29th European Symposium on Reliability of Electron Devices, Failure Physics and Analysis (ESREF) 2018.
  14. Majdi SAIDI, Seifeddine Ben Eighali, Zhongliang Li, Rachid Outbib, Tiery Le Roux and Emmanuel Cardone, ``Optimal Sizing of Mobile Hybrid Off-Grid Multi-Sources Installation", In Proc. IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society, Lisbon, Portugal, 2019, pp. 2434-2439.
  15. doi: 10.1109/IECON.2019.8927442

Patents

  1. S. FAIVRE, F. GUSTIN, D. HISSEL, F. HAREL, Z. LI, "Procédé et système pour diagnostiquer en temps réel l'état de fonctionnement d'un système électrochimique, et système électrochimique intégrant ce système de diagnostic", Number : IFBP17SREDDP

PhD thesis

Data-driven fault diagnosis for PEMFC systems. (Download Here)

Master thesis

Research on the control strategy of parallel-connected inverters in microgrid. (Download Here)

Teaching

My teaching activities are mainly carried out in Departement of Information and Interactions of Aix-Marseille University. Here, the courses in which I am involved cover the electrical engineering, automation, and computer science domains. I am also trying to teach the students how to use the automatic control and artificial intelligent tools to solve engineering problems, in particular, those in electrical engineering domain.

Association Machines et Convertisseurs

The students who follow this TP can download the 5 subjects by clicking the following links.

TP 1,2,3,4,5

The following documents are for you to prepare your TP.

Hacheur

Principles BLDC

Manuel ALTISTART

Principle MCC

Definitions of powers and harmonics

Mise à Niveau

You find here one book to search for the usage of some C programming orders.

Livre. comme un dictionaire

You find here one book to search for the usage of Python.

Livre. comme un dictionaire

You find here the indications to launch a simple C program.

Presentation of how to use Emacs to edit, compile and execute your C program

Here you find the 2 subjects and 1 project.

TP 1

TP 2

Projet (meteo.xlsx load.xlsx)

Automatique 2017-2018

Cours 1, Cours 2, Cours 3, Cours 4, Cours 5

TD 1, TD 2, TD 3, TD 4

Un bon livre pour édudier Automatique.pdf

Examen de 2017/2018

Automatique 2018-2019

Cette année, j'ai donné les cours en écrivant sur le tableau noir au lieu de préparer des documents en PPT. Vous pouvez lire les cours de l'année dernière si vous n'avez pas pu suivi les cours. Les 5 sujets de TD sont à télécharger comme ci-dessous.

TD 1

TD 2

TD 3

TD 4

TD 5

Les solutions sont comme la suite :
Solutions TD 1

Solutions TD 2

Solutions TD 3

Solutions TD 4

Solutions TD 5

TP 2018/2019
Sujets

distance-from-speed-and-time.zipvelocity-over-a-fixed-distance.aesl

How to draw curves with EXECEL

Code MatlabCode Python

Optimisation M1 EEEA 2019/2020

TP 1

canon.msin_cos.mmesh_grid1.m, logic.m, pingpong.m

On va faire TP2 en deux séances. TP 2

data, N 20 éléments, N 21 éléments

On va faire le reste de TP2 et TP3 en deux séances. TP 3

Optimisation M1 TSI

TD 1

Cours 1

TD 2

Cours 2

TP Instrumentation et interfaçage

Sujet

Programme

Données pour Q6 et Q7 du TP1

Get in Touch

You can always find me!

Contact Info

LIS (UMR CNRS 7020)
Faculté St. Jérôme, Avenue Escadrille Normandie Niemen
Marseille 13397, France.
Phone-fix: +33 (0)491056032
Email: zhongliang.li@lis-lab.fr