World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
79
Citations
25914
World Ranking
220
National Ranking
30

Electronics and Electrical Engineering

D-Index
79
Citations
25911
World Ranking
554
National Ranking
86

Overview

Hongwen He is affiliated with the Beijing Institute of Technology in China. Their primary field of study is Engineering, with a focus on Automotive Engineering, Electrical and Electronic Engineering, Control and Systems Engineering, Mechanical Engineering, and Renewable Energy, Sustainability and the Environment.

The scientist's research covers several main topics including:

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

Among the recent papers associated with Hongwen He are:

  • China's battery electric vehicles lead the world: achievements in technology system architecture and technological breakthroughs (2022) published in Green Energy and Intelligent Transportation
  • Future smart battery and management: Advanced sensing from external to embedded multi-dimensional measurement (2021) published in Journal of Power Sources
  • Noise-Immune Model Identification and State-of-Charge Estimation for Lithium-Ion Battery Using Bilinear Parameterization (2020) published in IEEE Transactions on Industrial Electronics
  • Disturbance-Immune and Aging-Robust Internal Short Circuit Diagnostic for Lithium-Ion Battery (2021) published in IEEE Transactions on Industrial Electronics
  • Multistage State of Health Estimation of Lithium-Ion Battery With High Tolerance to Heavily Partial Charging (2022) published in IEEE Transactions on Power Electronics

Hongwen He frequently collaborates with other researchers including Zhongbao Wei, Jianwei Li, Ruchen Huang, Shengwei Quan, and Jinzhou Chen.

The scientist publishes extensively in several venues, with notable frequent publication venues being:

  • Applied Energy
  • Energy
  • IEEE Transactions on Transportation Electrification
  • IEEE Transactions on Industrial Electronics
  • SSRN Electronic Journal

In addition to journal papers, Hongwen He has contributed to book publications, including a title published by Morgan & Claypool Publishers: "Deep Reinforcement Learning-Based Energy Management for Hybrid Electric Vehicles" (2022).

Best Publications

  • Evaluation of Lithium-Ion Battery Equivalent Circuit Models for State of Charge Estimation by an Experimental Approach

    Hongwen He;Rui Xiong;Jinxin Fan

  • Long Short-Term Memory Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-Ion Batteries

    Yongzhi Zhang;Rui Xiong;Hongwen He;Michael G. Pecht

  • 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

  • Rule based energy management strategy for a series–parallel plug-in hybrid electric bus optimized by dynamic programming

    Jiankun Peng;Hongwen He;Rui Xiong

  • Online model-based estimation of state-of-charge and open-circuit voltage of lithium-ion batteries in electric vehicles

    Hongwen He;Xiaowei Zhang;Rui Xiong;Yongli Xu

  • 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

  • Model predictive control power management strategies for HEVs: A review

    Yanjun Huang;Hong Wang;Hong Wang;Amir Khajepour;Hongwen He

  • Comparison study on the battery models used for the energy management of batteries in electric vehicles

    Hongwen He;Rui Xiong;Hongqiang Guo;Shuchun Li

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

    Rui Xiong;Hongwen He;Fengchun Sun;Kai Zhao

  • Online estimation of model parameters and state-of-charge of LiFePO4 batteries in electric vehicles

    Hongwen He;Rui Xiong;Hongqiang Guo

  • Lithium-Ion Battery Health Prognosis Based on a Real Battery Management System Used in Electric Vehicles

    Rui Xiong;Yongzhi Zhang;Ju Wang;Hongwen He

  • Continuous reinforcement learning of energy management with deep Q network for a power split hybrid electric bus

    Jingda Wu;Hongwen He;Jiankun Peng;Yuecheng Li

  • 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

  • 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

  • Future smart battery and management: Advanced sensing from external to embedded multi-dimensional measurement

    Zhongbao Wei;Jiyun Zhao;Hongwen He;Guanglin Ding

  • Deep reinforcement learning of energy management with continuous control strategy and traffic information for a series-parallel plug-in hybrid electric bus

    Yuankai Wu;Yuankai Wu;Huachun Tan;Huachun Tan;Jiankun Peng;Jiankun Peng;Hailong Zhang;Hailong Zhang

  • A Double-Scale, Particle-Filtering, Energy State Prediction Algorithm for Lithium-Ion Batteries

    Rui Xiong;Yongzhi Zhang;Hongwen He;Xuan Zhou

  • Sensor fault detection and isolation for a lithium-ion battery pack in electric vehicles using adaptive extended Kalman filter

    Zhentong Liu;Hongwen He

  • Lithium-Ion Battery Pack State of Charge and State of Energy Estimation Algorithms Using a Hardware-in-the-Loop Validation

    Yongzhi Zhang;Rui Xiong;Hongwen He;Weixiang Shen

Frequent Co-Authors

Rui Xiong
Rui Xiong Beijing Institute of Technology
Fengchun Sun
Fengchun Sun Beijing Institute of Technology
Jianwei Li
Jianwei Li Qingdao University of Science and Technology
Michael Pecht
Michael Pecht University of Maryland, College Park
Amir Khajepour
Amir Khajepour University of Waterloo
Weixiang Shen
Weixiang Shen Swinburne University of Technology
Zhongbao Wei
Zhongbao Wei Beijing Institute of Technology
Chen Lv
Chen Lv Nanyang Technological University
Xiaobo Qu
Xiaobo Qu Xiamen University
Xinan Zhang
Xinan Zhang University of Western Australia

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring related online degrees can broaden your opportunities beyond traditional Mechanical and Aerospace Engineering roles. For example, veterans interested in healthcare can consider online speech pathology degrees for veterans, which offer flexible learning options tailored to military service members transitioning into civilian careers.

Those looking to complete their education rapidly might explore an accelerated SLP master's program. These programs condense coursework to fast-track certification and entry into the workforce, ideal for students eager to start their careers.

Expanding skill sets can also lead into unique fields like criminal profiling. Understanding how to become a profiler involves pursuing degrees in psychology or behavioral analysis, offering a different application of engineering problem-solving skills.

Alternatively, professionals interested in mental health may explore different therapy degrees. These programs provide training in various counseling specializations, complementing engineering expertise with interpersonal and supportive skills.

Best Scientists Citing Hongwen He

Trending Scientists