World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
54
Citations
9993
World Ranking
3233
National Ranking
665

Overview

Weirong Chen is affiliated with Southwest Jiaotong University in China. Their research primarily focuses on engineering, with significant contributions to subfields including Electrical and Electronic Engineering, Automotive Engineering, Control and Systems Engineering, Mechanical Engineering, and Energy Engineering and Power Technology.

Their work extensively covers topics such as Fuel Cells and Related Materials, Microgrid Control and Optimization, Electric and Hybrid Vehicle Technologies, Advanced Battery Technologies Research, Hybrid Renewable Energy Systems, Integrated Energy Systems Optimization, and Railway Systems and Energy Efficiency.

Frequent publication venues for Chen include IEEE Transactions on Transportation Electrification, IEEE Transactions on Industrial Electronics, SSRN Electronic Journal, Applied Energy, and Journal of Energy Storage. The volume of publications in these venues indicates a sustained research output across related fields.

  • IEEE Transactions on Transportation Electrification (13 papers)
  • IEEE Transactions on Industrial Electronics (12 papers)
  • SSRN Electronic Journal (6 papers)
  • Applied Energy (4 papers)
  • Journal of Energy Storage (4 papers)

Their recent papers focus on control and optimization for energy systems with an emphasis on hydrogen and fuel cell technologies, regional integrated energy systems, and energy management algorithms for electric rail transport. Selected recent works include:

  • Multiobjective Optimization and Data-Driven Constraint Adaptive Predictive Control for Efficient and Stable Operation of PEMFC System (2020, IEEE Transactions on Industrial Electronics)
  • Hierarchical optimal scheduling method for regional integrated energy systems considering electricity-hydrogen shared energy (2023, Applied Energy)
  • Optimal sizing for an integrated energy system considering degradation and seasonal hydrogen storage (2021, Applied Energy)
  • Model Prediction Control-Based Energy Management Combining Self-Trending Prediction and Subset-Searching Algorithm for Hydrogen Electric Multiple Unit Train (2022, IEEE Transactions on Transportation Electrification)
  • Online extremum seeking-based optimized energy management strategy for hybrid electric tram considering fuel cell degradation (2021, Applied Energy)

Chen frequently collaborates with the following coauthors:

  • Qi Li (46 collaborations)
  • Tianhong Wang (17 collaborations)
  • Fei Gao (15 collaborations)
  • Yuchen Pu (14 collaborations)
  • Ying Han (12 collaborations)

Chen has also contributed to academic publishing through books. One known publication is titled New Energy Locomotive, published by Springer Nature in 2024.

Best Publications

  • Seeker Optimization Algorithm for Optimal Reactive Power Dispatch

    Chaohua Dai;Weirong Chen;Yunfang Zhu;Xuexia Zhang

  • Energy management strategy for fuel cell/battery/ultracapacitor hybrid vehicle based on fuzzy logic

    Qi Li;Weirong Chen;Yankun Li;Shukui Liu

  • Seeker Optimization Algorithm for Digital IIR Filter Design

    Chaohua Dai;Weirong Chen;Yunfang Zhu

  • Development of energy management system based on a power sharing strategy for a fuel cell-battery-supercapacitor hybrid tramway

    Qi Li;Weirong Chen;Zhixiang Liu;Ming Li

  • Remaining useful life prediction of PEMFC based on long short-term memory recurrent neural networks

    Jiawei Liu;Qi Li;Weirong Chen;Yu Yan

  • Parameter Identification for PEM Fuel-Cell Mechanism Model Based on Effective Informed Adaptive Particle Swarm Optimization

    Qi Li;Weirong Chen;Youyi Wang;Shukui Liu

  • A state machine strategy based on droop control for an energy management system of PEMFC-battery-supercapacitor hybrid tramway

    Qi Li;Hanqing Yang;Ying Han;Ming Li

  • Power Management Strategy Based on Adaptive Droop Control for a Fuel Cell-Battery-Supercapacitor Hybrid Tramway

    Qi Li;Tianhong Wang;Chaohua Dai;Weirong Chen

  • Seeker Optimization Algorithm

    Chaohua Dai;Weirong Chen;Yunfang Zhu

  • Reactive power dispatch considering voltage stability with seeker optimization algorithm

    Chaohua Dai;Weirong Chen;Yunfang Zhu;Xuexia Zhang

  • Two-level energy management strategy for PV-Fuel cell-battery-based DC microgrid

    Ying Han;Weirong Chen;Qi Li;Hanqing Yang

  • Hierarchical optimal scheduling method for regional integrated energy systems considering electricity-hydrogen shared energy

    Unknown

  • A State Machine Control Based on Equivalent Consumption Minimization for Fuel Cell/ Supercapacitor Hybrid Tramway

    Qi Li;Bo Su;Yuchen Pu;Ying Han

  • An energy management strategy based on dynamic power factor for fuel cell/battery hybrid locomotive

    Zhihu Hong;Qi Li;Ying Han;Weilin Shang

  • Model Prediction Control-Based Energy Management Combining Self-Trending Prediction and Subset-Searching Algorithm for Hydrogen Electric Multiple Unit Train

    Unknown

  • Multisource Coordination Energy Management Strategy Based on SOC Consensus for a PEMFC–Battery–Supercapacitor Hybrid Tramway

    Ying Han;Qi Li;Tianhong Wang;Weirong Chen

  • Hierarchical energy management for PV/hydrogen/battery island DC microgrid

    Ying Han;Guorui Zhang;Qi Li;Zhiyu You

  • Optimal Energy Management and Control in Multimode Equivalent Energy Consumption of Fuel Cell/Supercapacitor of Hybrid Electric Tram

    Yu Yan;Qi Li;Weirong Chen;Bo Su

  • Seeker optimization algorithm for global optimization: A case study on optimal modelling of proton exchange membrane fuel cell (PEMFC)

    Chaohua Dai;Weirong Chen;Zhanli Cheng;Qi Li

  • Multiobjective Optimization and Data-Driven Constraint Adaptive Predictive Control for Efficient and Stable Operation of PEMFC System

    Qi Li;Liangzhen Yin;Hanqing Yang;Tianhong Wang

  • Dynamic multi-group self-adaptive differential evolution algorithm for reactive power optimization

    Xuexia Zhang;Weirong Chen;Chaohua Dai;Wenzhao Cai

  • A Fast Fault Diagnosis Method of the PEMFC System Based on Extreme Learning Machine and Dempster–Shafer Evidence Theory

    Jiawei Liu;Qi Li;Weirong Chen;Yu Yan

Frequent Co-Authors

Fei Gao
Fei Gao University of Technology of Belfort-Montbéliard
Weihao Hu
Weihao Hu University of Electronic Science and Technology of China
Ming Li
Ming Li Shanghai Jiao Tong University
Venkata Yaramasu
Venkata Yaramasu Northern Arizona University
Bin Wu
Bin Wu Toronto Metropolitan University
Firuz Zare
Firuz Zare University of Queensland
Josep M. Guerrero
Josep M. Guerrero Universitat Politècnica de Catalunya
Zhe Chen
Zhe Chen Aalborg University
Lixiang Li
Lixiang Li Beijing University of Posts and Telecommunications
Peng Wang
Peng Wang Nanyang Technological University

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