World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
69
Citations
19606
World Ranking
413
National Ranking
58

Electronics and Electrical Engineering

D-Index
69
Citations
19603
World Ranking
958
National Ranking
165

Overview

Fengchun Sun is affiliated with the Beijing Institute of Technology in China. The primary area of their scholarly focus is engineering, with a significant volume of work concentrated in automotive engineering and electrical and electronic engineering. They have also contributed to control and systems engineering, renewable energy, sustainability and the environment, and aerospace engineering.

Their research topics are concentrated on advanced battery technologies and electric vehicle systems. These include:

  • Advanced Battery Technologies Research
  • Electric Vehicles and Infrastructure
  • Electric and Hybrid Vehicle Technologies
  • Advancements in Battery Materials
  • Vehicle emissions and performance
  • Advanced Battery Materials and Technologies
  • Fuel Cells and Related Materials

Fengchun Sun has authored numerous papers, with frequent publications appearing in venues such as Applied Energy, Energy, IEEE Transactions on Vehicular Technology, SSRN Electronic Journal, and the Journal of Power Sources. Notable recent papers include:

  • Lithium-ion battery aging mechanisms and diagnosis method for automotive applications: Recent advances and perspectives, 2020, Renewable and Sustainable Energy Reviews
  • Research progress, challenges and prospects of fault diagnosis on battery system of electric vehicles, 2020, Applied Energy
  • China's battery electric vehicles lead the world: achievements in technology system architecture and technological breakthroughs, 2022, Green Energy and Intelligent Transportation
  • Deep learning to estimate lithium-ion battery state of health without additional degradation experiments, 2023, Nature Communications
  • Battery degradation prediction against uncertain future conditions with recurrent neural network enabled deep learning, 2022, Energy Storage Materials

Frequent collaborating authors with Fengchun Sun include Rui Xiong, Chao Sun, Weixiang Shen, Zhenpo Wang, and Hongwen He.

Best Publications

  • Critical Review on the Battery State of Charge Estimation Methods for Electric Vehicles

    Rui Xiong;Jiayi Cao;Quanqing Yu;Hongwen He

  • State-of-Charge Estimation of the Lithium-Ion Battery Using an Adaptive Extended Kalman Filter Based on an Improved Thevenin Model

    Hongwen He;Rui Xiong;Xiaowei Zhang;Fengchun Sun

  • A review of supercapacitor modeling, estimation, and applications: A control/management perspective

    Lei Zhang;Lei Zhang;Xiaosong Hu;Zhenpo Wang;Fengchun Sun

  • Adaptive unscented Kalman filtering for state of charge estimation of a lithium-ion battery for electric vehicles

    Fengchun Sun;Xiaosong Hu;Yuan Zou;Siguang Li

  • Lithium-ion battery aging mechanisms and diagnosis method for automotive applications: Recent advances and perspectives

    Rui Xiong;Yue Pan;Weixiang Shen;Hailong Li

  • A data-driven multi-scale extended Kalman filtering based parameter and state estimation approach of lithium-ion olymer battery in electric vehicles

    Rui Xiong;Rui Xiong;Fengchun Sun;Zheng Chen;Hongwen He

  • Velocity Predictors for Predictive Energy Management in Hybrid Electric Vehicles

    Chao Sun;Xiaosong Hu;Scott J. Moura;Fengchun Sun

  • Evaluation on State of Charge Estimation of Batteries With Adaptive Extended Kalman Filter by Experiment Approach

    Rui Xiong;Hongwen He;Fengchun Sun;Kai Zhao

  • Research progress, challenges and prospects of fault diagnosis on battery system of electric vehicles

    Rui Xiong;Wanzhou Sun;Quanqing Yu;Quanqing Yu;Fengchun Sun

  • China’s Battery Electric Vehicles Lead the World: Achievements in Technology System Architecture and Technological Breakthroughs

    Unknown

  • Investigating adaptive-ECMS with velocity forecast ability for hybrid electric vehicles

    Chao Sun;Fengchun Sun;Hongwen He

  • Dynamic Traffic Feedback Data Enabled Energy Management in Plug-in Hybrid Electric Vehicles

    Chao Sun;Scott Jason Moura;Xiaosong Hu;J. Karl Hedrick

  • Multiobjective Optimal Sizing of Hybrid Energy Storage System for Electric Vehicles

    Lei Zhang;Xiaosong Hu;Zhenpo Wang;Fengchun Sun

  • Deep learning to estimate lithium-ion battery state of health without additional degradation experiments

    Unknown

  • An Overview on Thermal Safety Issues of Lithium-ion Batteries for Electric Vehicle Application

    Jianan Zhang;Lei Zhang;Fengchun Sun;Zhenpo Wang

  • A systematic state-of-charge estimation framework for multi-cell battery pack in electric vehicles using bias correction technique

    Fengchun Sun;Rui Xiong;Hongwen He

  • Model predictive control for power management in a plug-in hybrid electric vehicle with a hybrid energy storage system

    Shuo Zhang;Rui Xiong;Fengchun Sun

  • Estimation of State of Charge of a Lithium-Ion Battery Pack for Electric Vehicles Using an Adaptive Luenberger Observer

    Xiaosong Hu;Fengchun Sun;Yuan Zou

  • Battery Degradation Prediction Against Uncertain Future Conditions with Recurrent Neural Network Enabled Deep Learning

    Unknown

  • A Novel Fractional Order Model for State of Charge Estimation in Lithium Ion Batteries

    Rui Xiong;Jinpeng Tian;Weixiang Shen;Fengchun Sun

  • Reinforcement Learning of Adaptive Energy Management With Transition Probability for a Hybrid Electric Tracked Vehicle

    Teng Liu;Yuan Zou;Dexing Liu;Fengchun Sun

  • Reinforcement learning-based real-time energy management for a hybrid tracked vehicle

    Yuan Zou;Teng Liu;Dexing Liu;Fengchun Sun

  • A data-driven based adaptive state of charge estimator of lithium-ion polymer battery used in electric vehicles

    Rui Xiong;Rui Xiong;Fengchun Sun;Xianzhi Gong;Chenchen Gao

Frequent Co-Authors

Rui Xiong
Rui Xiong Beijing Institute of Technology
Hongwen He
Hongwen He Beijing Institute of Technology
Zhenpo Wang
Zhenpo Wang Beijing Institute of Technology
Xiaosong Hu
Xiaosong Hu Chongqing University
David G. Dorrell
David G. Dorrell University of Turku
Weixiang Shen
Weixiang Shen Swinburne University of Technology
Scott J. Moura
Scott J. Moura University of California, Berkeley
Huei Peng
Huei Peng University of Michigan–Ann Arbor
Chao-Yang Wang
Chao-Yang Wang Pennsylvania State University
J. Karl Hedrick
J. Karl Hedrick University of California, Berkeley

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