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Career

· Chaire De Professeur Junior Junior Professorship, Université de Franche-Comté2022–
· Associate Professor, Aix-Marseille Université (Current)2016–
· Postdoctoral Fellow, Institut FEMTO-ST (UMR CNRS 6174) / FCLAB (CNRS 3539)2014–2016
· PHD Student, UFC/UTBM2013–2014
· PhD, Mechatronics, Robotics, and Automation Engineering, Aix-Marseille University2011–2014
· PHD Student, University Aix Marseille2011–2013
· Master's degree, Elelctrical engineering (Power electronics, power converter, motor control, new energy, smart grid), Tsinghua University2009–2011
· Bachelor's degree, Electrical engineering, Tsinghua University2005–2009

Publications (57)

Data-driven proton exchange membrane fuel cell degradation predication through deep learning method
Applied Energy · 2018
319
cited
Online implementation of SVM based fault diagnosis strategy for PEMFC systems
2015
121
cited
Adaptive Prognostic of Fuel Cells by Implementing Ensemble Echo State Networks in Time-Varying Model Space
IEEE transactions on industrial electronics (1982. Print) · 2020
101
cited
Data-driven diagnosis of PEM fuel cell: A comparative study
2014
99
cited
Data-Fusion Prognostics of Proton Exchange Membrane Fuel Cell Degradation
IEEE transactions on industry applications · 2019
87
cited
Diagnosis for PEMFC Systems: A Data-Driven Approach With the Capabilities of Online Adaptation and Novel Fault Detection
IEEE transactions on industrial electronics (1982. Print) · 2015
76
cited
A novel long short-term memory networks-based data-driven prognostic strategy for proton exchange membrane fuel cells
International journal of hydrogen energy · 2022
68
cited
Fault detection and isolation for Polymer Electrolyte Membrane Fuel Cell systems by analyzing cell voltage generated space
2015
68
cited
Fault diagnosis for fuel cell systems: A data-driven approach using high-precise voltage sensors
Renewable Energy · 2019
63
cited
A review of the applications of fuel cells in microgrids: opportunities and challenges
BMC Energy · 2019
57
cited
Symbolic deep learning based prognostics for dynamic operating proton exchange membrane fuel cells
Applied Energy · 2022
55
cited
Data-driven prognostics based on time-frequency analysis and symbolic recurrent neural network for fuel cells under dynamic load
Reliability Engineering & System Safety · 2023
51
cited
A fusion prognostics strategy for fuel cells operating under dynamic conditions
eTransportation · 2022
50
cited
Degradation identification and prognostics of proton exchange membrane fuel cell under dynamic load
Control Engineering Practice · 2022
49
cited
A Novel Deep Belief Network and Extreme Learning Machine Based Performance Degradation Prediction Method for Proton Exchange Membrane Fuel Cell
IEEE Access · 2020
38
cited
Fault Diagnosis for PEMFC Systems in Consideration of Dynamic Behaviors and Spatial Inhomogeneity
IEEE transactions on energy conversion · 2019
38
cited
Diagnosis for PEMFC Based on Magnetic Measurements and Data-Driven Approach
IEEE transactions on energy conversion · 2019
36
cited
Function Approximation Reinforcement Learning of Energy Management with the Fuzzy REINFORCE for Fuel Cell Hybrid Electric Vehicles
Energy and AI · 2023
35
cited
Online Diagnosis of PEMFC by Combining Support Vector Machine and Fluidic Model
2014
34
cited
Remaining Useful Life Estimation for PEMFC in Dynamic Operating Conditions
Vehicle Power and Propulsion Conference · 2016
34
cited
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Zhongliang Li | Researcher Profile | Sotabase | Sotabase