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Electronics and Electrical Engineering

D-Index
50
Citations
8244
World Ranking
2849
National Ranking
41

Overview

Fei Gao is affiliated with the University of Technology of Belfort-Montbéliard in France. Their research lies primarily within the field of engineering, with a focus on electrical and electronic engineering, automotive engineering, and control and systems engineering. They also contribute to subfields related to renewable energy, sustainability, and materials chemistry.

Their work centers around several main topics, including:

  • Fuel Cells and Related Materials
  • Advanced Battery Technologies Research
  • Electrocatalysts for Energy Conversion
  • Microgrid Control and Optimization
  • Real-time simulation and control systems
  • Electric and Hybrid Vehicle Technologies
  • Electric Vehicles and Infrastructure

Fei Gao frequently publishes in venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Transportation Electrification
  • IEEE Journal of Emerging and Selected Topics in Industrial Electronics
  • IEEE Transactions on Industrial Electronics
  • SSRN Electronic Journal

Their recent published papers include:

  • A review on lifetime prediction of proton exchange membrane fuel cells system, 2022, Journal of Power Sources
  • Remaining useful life prediction of PEMFC systems based on the multi-input echo state network, 2020, Applied Energy
  • Remaining useful life prediction of PEMFC systems under dynamic operating conditions, 2021, Energy Conversion and Management
  • A Coordinated Optimal Operation of a Grid-Connected Wind-Solar Microgrid Incorporating Hybrid Energy Storage Management Systems, 2023, IEEE Transactions on Sustainable Energy
  • Hierarchical Operation of Electric Vehicle Charging Station in Smart Grid Integration Applications - An Overview, 2022, International Journal of Electrical Power & Energy Systems

Their collaborations are marked by frequent co-authors, including:

  • Hao Bai
  • Yigeng Huangfu
  • Mohamed Benbouzid
  • Elena Breaz
  • Chen Liu

Best Publications

  • Modeling and Advanced Control of Dual-Active-Bridge DC–DC Converters: A Review

    Shuai Shao;Linglin Chen;Zhenyu Shan;Fei Gao

  • Lithium Polymer Battery State-of-Charge Estimation Based on Adaptive Unscented Kalman Filter and Support Vector Machine

    Jinhao Meng;Guangzhao Luo;Fei Gao

  • Online energy management strategy of fuel cell hybrid electric vehicles based on data fusion approach

    Daming Zhou;Ahmed Al-Durra;Fei Gao;Alexandre Ravey

  • Online Energy Management Strategy of Fuel Cell Hybrid Electric Vehicles: A Fractional-Order Extremum Seeking Method

    Daming Zhou;Ahmed Al-Durra;Imad Matraji;Alexandre Ravey

  • PEM Fuel Cell Stack Modeling for Real-Time Emulation in Hardware-in-the-Loop Applications

    Fei Gao;B Blunier;A Miraoui

  • Remaining useful life prediction of PEMFC systems based on the multi-input echo state network

    Zhiguang Hua;Zhixue Zheng;Marie-Cécile Péra;Fei Gao

  • Robust Voltage Control of Floating Interleaved Boost Converter for Fuel Cell Systems

    Yigeng Huangfu;Shengrong Zhuo;Fuxi Chen;Shengzhao Pang

  • Online remaining useful lifetime prediction of proton exchange membrane fuel cells using a novel robust methodology

    Daming Zhou;Daming Zhou;Ahmed Al-Durra;Ke Zhang;Alexandre Ravey

  • Remaining useful life prediction of PEMFC systems under dynamic operating conditions

    Zhiguang Hua;Zhixue Zheng;Elodie Pahon;Marie-Cécile Péra

  • Compensation of droop control using common load condition in DC microgrids to improve voltage regulation and load sharing

    Nanfang Yang;Damien Paire;Fei Gao;Abdellatif Miraoui

  • A comparative study of extremum seeking methods applied to online energy management strategy of fuel cell hybrid electric vehicles

    Daming Zhou;Daming Zhou;Alexandre Ravey;Ahmed Al-Durra;Fei Gao

  • Nonlinear Performance Degradation Prediction of Proton Exchange Membrane Fuel Cells Using Relevance Vector Machine

    Yiming Wu;Elena Breaz;Fei Gao;Damien Paire

  • A Modified Relevance Vector Machine for PEM Fuel-Cell Stack Aging Prediction

    Yiming Wu;Elena Breaz;Fei Gao;Abdellatif Miraoui

  • A Multiphysic Dynamic 1-D Model of a Proton-Exchange-Membrane Fuel-Cell Stack for Real-Time Simulation

    Fei Gao;Benjamin Blunier;Abdellatif Miraoui;Abdellah El Moudni

  • Approximate Cost-optimal Energy Management of Hydrogen Electric Multiple Unit Trains Using Double Q-learning Algorithm

    Qi Li;Xiang Meng;Fei Gao;Guorui Zhang

  • Online Estimation of Lithium Polymer Batteries State-of-Charge Using Particle Filter-Based Data Fusion With Multimodels Approach

    Daming Zhou;Ke Zhang;Alexandre Ravey;Fei Gao

  • Degradation Prediction of PEM Fuel Cell Stack Based on Multiphysical Aging Model With Particle Filter Approach

    Daming Zhou;Yiming Wu;Fei Gao;Elena Breaz

  • Stability Analysis and Active Stabilization of On-board DC Power Converter System with Input Filter

    Yigeng Huangfu;Shengzhao Pang;Babak Nahid-Mobarakeh;Liang Guo

  • Online extremum seeking-based optimized energy management strategy for hybrid electric tram considering fuel cell degradation

    Qi Li;Tianhong Wang;Tianhong Wang;Shihan Li;Weirong Chen

  • A Robust Prognostic Indicator for Renewable Energy Technologies: A Novel Error Correction Grey Prediction Model

    Daming Zhou;Ahmed Al-Durra;Ke Zhang;Alexandre Ravey

  • Control of an Ultrahigh-Speed Centrifugal Compressor for the Air Management of Fuel Cell Systems

    Dongdong Zhao;Benjamin Blunier;Fei Gao;Manfeng Dou

  • Disturbance decoupling control of an ultra-high speed centrifugal compressor for the air management of fuel cell systems

    Dongdong Zhao;Dongdong Zhao;Qing Zheng;Fei Gao;Fei Gao;David Bouquain;David Bouquain

Frequent Co-Authors

Abdellatif Miraoui
Abdellatif Miraoui Ministère de l'Enseignement supérieur, de la Recherche scientifique et de l'innovation
Babak Nahid-Mobarakeh
Babak Nahid-Mobarakeh McMaster University
Serge Pierfederici
Serge Pierfederici University of Lorraine
Ahmed Al-Durra
Ahmed Al-Durra Khalifa University
Pavol Bauer
Pavol Bauer Delft University of Technology
Akshay Kumar Rathore
Akshay Kumar Rathore Concordia University
Tomislav Dragicevic
Tomislav Dragicevic Technical University of Denmark
Marcelo Godoy Simões
Marcelo Godoy Simões University of Vaasa
Geng Yang
Geng Yang Tsinghua University
Hua Geng
Hua Geng Tsinghua University

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