World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
57
Citations
10624
World Ranking
815
National Ranking
350

Overview

Zheng Chen is affiliated with the University of Houston in the United States and works primarily in the field of Engineering. Their research focuses extensively on automotive and electrical engineering disciplines, particularly within the context of battery technologies and electric vehicles.

The main fields of study for Zheng Chen include:

  • Engineering

They specialize in several subfields of study, including:

  • Automotive Engineering
  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Safety, Risk, Reliability and Quality
  • Building and Construction

The research topics covered by Zheng Chen reflect significant work in the following areas:

  • Advanced Battery Technologies Research
  • Electric Vehicles and Infrastructure
  • Electric and Hybrid Vehicle Technologies
  • Advancements in Battery Materials
  • Vehicle emissions and performance
  • Traffic control and management
  • Fault Detection and Control Systems

Zheng Chen has contributed to a number of research papers with notable examples including:

  • State of health estimation for lithium-ion batteries based on temperature prediction and gated recurrent unit neural network (2021, Journal of Power Sources)
  • A Flexible State-of-Health Prediction Scheme for Lithium-Ion Battery Packs With Long Short-Term Memory Network and Transfer Learning (2021, IEEE Transactions on Transportation Electrification)
  • State of health prediction of lithium-ion batteries based on machine learning: Advances and perspectives (2021, iScience)
  • State of Health Estimation for Lithium-Ion Batteries Based on Healthy Features and Long Short-Term Memory (2020, IEEE Access)
  • Fault diagnosis and abnormality detection of lithium-ion battery packs based on statistical distribution (2020, Journal of Power Sources)

Frequent publication venues for Zheng Chen encompass several journals with recurring appearances, including:

  • Energy
  • IEEE Transactions on Transportation Electrification
  • SSRN Electronic Journal
  • Journal of Power Sources
  • IEEE Transactions on Vehicular Technology

Zheng Chen collaborates with various coauthors frequently, including:

  • Yonggang Liu
  • Yuanjian Zhang
  • Jiangwei Shen
  • Xing Shu
  • Shiquan Shen

Best Publications

  • 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

  • State of Charge Estimation of Lithium-Ion Batteries in Electric Drive Vehicles Using Extended Kalman Filtering

    Zheng Chen;Yuhong Fu;C. C. Mi

  • The State of Charge Estimation of Lithium-Ion Batteries Based on a Proportional-Integral Observer

    Jun Xu;Chunting Chris Mi;Binggang Cao;Junjun Deng

  • Energy Management for a Power-Split Plug-in Hybrid Electric Vehicle Based on Dynamic Programming and Neural Networks

    Zheng Chen;Chunting Chris Mi;Jun Xu;Xianzhi Gong

  • Online battery state of health estimation based on Genetic Algorithm for electric and hybrid vehicle applications

    Zheng Chen;Chunting Chris Mi;Yuhong Fu;Jun Xu

  • State of health estimation for lithium-ion batteries based on temperature prediction and gated recurrent unit neural network

    Unknown

  • Wireless Power Transfer by Electric Field Resonance and Its Application in Dynamic Charging

    Siqi Li;Zhe Liu;Han Zhao;Liyan Zhu

  • Energy management of a power-split plug-in hybrid electric vehicle based on genetic algorithm and quadratic programming

    Zheng Chen;Chris Chunting Mi;Rui Xiong;Jun Xu

  • Driving-behavior-aware stochastic model predictive control for plug-in hybrid electric buses

    Liang Li;Sixiong You;Chao Yang;Bingjie Yan

  • Research on a multi-objective hierarchical prediction energy management strategy for range extended fuel cell vehicles

    Yonggang Liu;Jie Li;Zheng Chen;Datong Qin

  • A Novel Lane Change Decision-Making Model of Autonomous Vehicle Based on Support Vector Machine

    Yonggang Liu;Xiao Wang;Liang Li;Shuo Cheng

  • A Flexible State-of-Health Prediction Scheme for Lithium-Ion Battery Packs With Long Short-Term Memory Network and Transfer Learning

    Xing Shu;Jiangwei Shen;Guang Li;Yuanjian Zhang

  • State of Health Prediction of Lithium-Ion Batteries Based on Machine Learning: Advances and Perspectives

    Xing Shu;Shiquan Shen;Jiangwei Shen;Yuanjian Zhang

  • Energy management strategy for power-split plug-in hybrid electric vehicle based on MPC and double Q-learning

    Unknown

  • State of Health Estimation for Lithium-Ion Batteries Based on Healthy Features and Long Short-Term Memory

    Yitao Wu;Qiao Xue;Jiangwei Shen;Zhenzhen Lei

  • An adaptive equivalent consumption minimization strategy for plug-in hybrid electric vehicles based on traffic information

    Zhenzhen Lei;Zhenzhen Lei;Datong Qin;Liliang Hou;Jingyu Peng

  • State of health estimation for lithium-ion batteries based on hybrid attention and deep learning

    Unknown

  • Fault diagnosis and abnormality detection of lithium-ion battery packs based on statistical distribution

    Qiao Xue;Guang Li;Yuanjian Zhang;Shiquan Shen

  • A novel energy management method for series plug-in hybrid electric vehicles

    Zheng Chen;Zheng Chen;Bing Xia;Chenwen You;Chunting Chris Mi

  • Dynamic Lane-Changing Trajectory Planning for Autonomous Vehicles Based on Discrete Global Trajectory

    Yonggang Liu;Bobo Zhou;Xiao Wang;Liang Li

  • Energy management of power-split plug-in hybrid electric vehicles based on simulated annealing and Pontryagin's minimum principle

    Zheng Chen;Chunting Chris Mi;Bing Xia;Chenwen You

  • Evaluation of Model Based State of Charge Estimation Methods for Lithium-Ion Batteries

    Zhongyue Zou;Jun Xu;Chris Mi;Binggang Cao

  • Loss-Minimization-Based Charging Strategy for Lithium-Ion Battery

    Zheng Chen;Bing Xia;Chunting Chris Mi;Rui Xiong

  • A uniform estimation framework for state of health of lithium-ion batteries considering feature extraction and parameters optimization

    Xing Shu;Guang Li;Jiangwei Shen;Zhenzhen Lei

  • An online state of charge estimation method with reduced prior battery testing information

    Jun Xu;Binggang Cao;Zheng Chen;Zhongyue Zou

  • Stochastic model predictive control for energy management of power-split plug-in hybrid electric vehicles based on reinforcement learning

    Zheng Chen;Zheng Chen;Hengjie Hu;Yitao Wu;Yuanjian Zhang

  • Multimode Energy Management for Plug-In Hybrid Electric Buses Based on Driving Cycles Prediction

    Zheng Chen;Liang Li;Bingjie Yan;Chao Yang

  • Comparisons of Modeling and State of Charge Estimation for Lithium-Ion Battery Based on Fractional Order and Integral Order Methods

    Renxin Xiao;Jiangwei Shen;Xiaoyu Li;Wensheng Yan

  • A neural network-based ECMS for optimized energy management of plug-in hybrid electric vehicles

    Zhihang Chen;Yonggang Liu;Yuanjian Zhang;Zhenzhen Lei

Frequent Co-Authors

Chris Mi
Chris Mi San Diego State University
Xiongbo Duan
Xiongbo Duan Central South University
Binggang Cao
Binggang Cao Xi'an Jiaotong University
Liang Li
Liang Li Tsinghua University
Rui Xiong
Rui Xiong Beijing Institute of Technology
Zunqing Zheng
Zunqing Zheng Tianjin University
Yilu Liu
Yilu Liu University of Tennessee at Knoxville
Xiaoyong Wei
Xiaoyong Wei Xi'an Jiaotong University
Lei Jiang
Lei Jiang Chinese Academy of Sciences
Jun Yang
Jun Yang Shanghai Jiao Tong University

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