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).
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.
Researchgate: Click here
Googlescholar: Click here
What I experienced from 2005 to present.
From 2009 to 2011: M.S. in Electrical Engineering. Advisor: Dr. Xudong SUN, Instituition of Power Electronics and Electrical Machinery System, State key lab of Power systems, Departement of Electrical Engineering, Tsinghua University.
From 2011 to 2014: PhD in Automation Engineering. Advisor: Pr. Rachid OUTBIB, Laboratory of Science of Information and Systems (LSIS, old version of LIS), Aix-Marseille University.
From 2012 to 2016: Teaching Assistant respectively in Aix-Marseille University, University of Technology of Belfort Montbeliard, and Unversity of Franche-Comte.
From 2016 to present: Associate professor (Maître de Conférence in French).
From 2008 to 2011: Master, Departement of Electrical Engineering and Automation, Tsinghua University.
Topology and control of the rectifier for multi-phase permanent magnitude synchronous generator.
Control strategy for parallel-connected inverters in micro-grids.
Data-driven real-time fault diagnosis for fuel cell systems.
Prognostics and Health Management for fuel cell energy systems.
From 2016 to present: Associate professor (Maître de Conférence), LIS laboratory (UMR CNRS 7020)..
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.
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)
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)
Remember that research is to establish facts and reach new conclusions.
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.
Some of my research work is published and shown below.
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.
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
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
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
You can always find me!