HE Hongwen 何洪文

HE Hongwen 何洪文

Beijing Institute of Technology

H-index: 68

Asia-China

About HE Hongwen 何洪文

HE Hongwen 何洪文, With an exceptional h-index of 68 and a recent h-index of 63 (since 2020), a distinguished researcher at Beijing Institute of Technology, specializes in the field of Electric Vehicles, Control systems, battery systems, energy management system.

His recent articles reflect a diverse array of research interests and contributions to the field:

Towards a fossil-free urban transport system: An intelligent cross-type transferable energy management framework based on deep transfer reinforcement learning

A multi-objective hierarchical energy management strategy for a distributed fuel-cell hybrid electric tracked vehicle

Deep reinforcement learning based energy management strategies for electrified vehicles: Recent advances and perspectives

Ensembled Traffic-Aware Transformer-Based Predictive Energy Management for Electrified Vehicles

Hierarchical vector transformer vehicle trajectories prediction with diffusion convolutional neural networks

Active disturbance rejection control strategy for PEMFC oxygen excess ratio based on adaptive internal state estimation using unscented Kalman filter

Confidence-aware reinforcement learning for energy management of electrified vehicles

Deep reinforcement learning for intelligent energy management systems of hybrid-electric powertrains: Recent advances, open issues, and prospects

HE Hongwen 何洪文 Information

University

Position

Professor of Mechanical Engineering北京理工大学

Citations(all)

20127

Citations(since 2020)

15344

Cited By

9609

hIndex(all)

68

hIndex(since 2020)

63

i10Index(all)

209

i10Index(since 2020)

190

Email

University Profile Page

Beijing Institute of Technology

Google Scholar

View Google Scholar Profile

HE Hongwen 何洪文 Skills & Research Interests

Electric Vehicles

Control systems

battery systems

energy management system

Top articles of HE Hongwen 何洪文

Title

Journal

Author(s)

Publication Date

Towards a fossil-free urban transport system: An intelligent cross-type transferable energy management framework based on deep transfer reinforcement learning

Applied Energy

Ruchen Huang

Hongwen He

Qicong Su

2024/6/1

A multi-objective hierarchical energy management strategy for a distributed fuel-cell hybrid electric tracked vehicle

Journal of Energy Storage

Ruoyan Han

Hongwen He

Zhendong Zhang

Shengwei Quan

Jinzhou Chen

2024/1/15

Deep reinforcement learning based energy management strategies for electrified vehicles: Recent advances and perspectives

Journal of Energy Storage

Weihan Li

Han Cui

Thomas Nemeth

Jonathan Jansen

Cem Uenluebayir

...

2021/4/1

Ensembled Traffic-Aware Transformer-Based Predictive Energy Management for Electrified Vehicles

IEEE Transactions on Intelligent Transportation Systems

Jingda Wu

Zhongbao Wei

Hongwen He

Henglai Wei

Shuangqi Li

...

2024/3/21

Hierarchical vector transformer vehicle trajectories prediction with diffusion convolutional neural networks

Neurocomputing

Yingjuan Tang

Hongwen He

Yong Wang

2024/5/1

Active disturbance rejection control strategy for PEMFC oxygen excess ratio based on adaptive internal state estimation using unscented Kalman filter

Fuel

Hongwei Yue

Hongwen He

Mo Han

Sikai Gong

2024/1/15

Confidence-aware reinforcement learning for energy management of electrified vehicles

Jingda Wu

Chao Huang

Hongwen He

Hailong Huang

2024/3/1

Deep reinforcement learning for intelligent energy management systems of hybrid-electric powertrains: Recent advances, open issues, and prospects

Yuecheng Li

Hongwen He

Amir Khajepour

Yong Chen

Weiwei Huo

...

2024/3/19

Enabling intelligent transferable energy management of series hybrid electric tracked vehicle across motion dimensions via soft actor-critic algorithm

Energy

Hongwen He

Qicong Su

Ruchen Huang

Zegong Niu

2024/5/1

Real-time power optimization based on PSO feedforward and perturbation & observation of fuel cell system for high altitude

Fuel

Jinzhou Chen

Hongwen He

Shengwei Quan

Zhongbao Wei

Zhendong Zhang

...

2024/1/15

Risk early warning method and system for hydrogen leakage

2024/2/13

Cathodic Supply Optimization of PEMFC System Under Variable Altitude

IEEE Transactions on Industrial Electronics

Feifan Jiang

Zhongbao Wei

Caizhi Zhang

Hongwen He

Ruoyang Song

...

2024/3/14

Heterogeneous multi-agent deep reinforcement learning for eco-driving of hybrid electric tracked vehicles: A heuristic training framework

Jeancarlo Arguello Calvo

Ivana Dusparic

2018/12

A novel data-driven energy management strategy for fuel cell hybrid electric bus based on improved twin delayed deep deterministic policy gradient algorithm

International Journal of Hydrogen Energy

Ruchen Huang

Hongwen He

2024/1/2

Learning-based model predictive energy management for fuel cell hybrid electric bus with health-aware control

Applied Energy

Chunchun Jia

Hongwen He

Jiaming Zhou

Jianwei Li

Zhongbao Wei

...

2024/2/1

Health-conscious deep reinforcement learning energy management for fuel cell buses integrating environmental and look-ahead road information

Energy

Chunchun Jia

Jiaming Zhou

Hongwen He

Jianwei Li

Zhongbao Wei

...

2024/3/1

Utilizing a diffusion model for pedestrian trajectory prediction in semi-open autonomous driving environments

IEEE Sensors Journal

Yingjuan Tang

Hongwen He

Yong Wang

Yifan Wu

2024/4/4

Current Status and Future Development of Integrated Transportation Technology in China

Hongwen He

Fengchun Sun

Menglin Li

2024/1/15

A novel generalized prognostic method of proton exchange membrane fuel cell using multi-point estimation under various operating conditions

Applied Energy

Zhendong Zhang

Hongwen He

Yaxiong Wang

Shengwei Quan

Jinzhou Chen

...

2024/3/1

A performance degradation prediction model for PEMFC based on bi-directional long short-term memory and multi-head self-attention mechanism

International Journal of Hydrogen Energy

Chunchun Jia

Hongwen He

Jiaming Zhou

Kunang Li

Jianwei Li

...

2024/3/22

See List of Professors in HE Hongwen 何洪文 University(Beijing Institute of Technology)