World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
53
Citations
10307
World Ranking
2429
National Ranking
936

Research.com Recognitions

  • 2012 - IEEE Fellow For contributions to system identification and the analysis of system complexity

Overview

Le Yi Wang is affiliated with Wayne State University in the United States and specializes in the field of engineering, with a particular focus on electrical and electronic engineering, control and systems engineering, computer networks and communications, automotive engineering, and computational theory and mathematics. Their research spans multiple subfields centered around control systems, battery technologies, and energy management.

The main topics of their research include:

  • Microgrid Control and Optimization
  • Advanced Battery Technologies Research
  • Advancements in Battery Materials
  • Smart Grid Energy Management
  • Fault Detection and Control Systems
  • Stability and Control of Uncertain Systems
  • Control Systems and Identification

Major publication venues where Le Yi Wang's work frequently appears include:

  • IEEE Transactions on Automatic Control
  • SSRN Electronic Journal
  • arXiv (Cornell University)
  • International Journal of Electrical Power & Energy Systems
  • Automatica

Among their recent publications are:

  • "Online joint-prediction of multi-forward-step battery SOC using LSTM neural networks and multiple linear regression for real-world electric vehicles," 2020, Journal of Energy Storage
  • "Online accurate state of health estimation for battery systems on real-world electric vehicles with variable driving conditions considered," 2021, Journal of Cleaner Production
  • "Fault diagnosis for lithium-ion batteries in electric vehicles based on signal decomposition and two-dimensional feature clustering," 2022, Green Energy and Intelligent Transportation
  • "Early Diagnosis of Accelerated Aging for Lithium-Ion Batteries With an Integrated Framework of Aging Mechanisms and Data-Driven Methods," 2022, IEEE Transactions on Transportation Electrification
  • "The Degradation Characteristics and Mechanism of Li[Ni0.5Co0.2Mn0.3]O2 Batteries at Different Temperatures and Discharge Current Rates," 2020, Journal of The Electrochemical Society

Frequent collaborators in their research include:

  • George Yin
  • Masoud H. Nazari
  • Wen Chen
  • Siyu Xie
  • Feng Lin

Le Yi Wang was recognized as an IEEE Fellow in 2012 for contributions to system identification and the analysis of system complexity.

Best Publications

  • Electric Vehicle Battery Technologies

    Kwo Young;Caisheng Wang;Le Yi Wang;Kai Strunz

  • VCONF: a reinforcement learning approach to virtual machines auto-configuration

    Jia Rao;Xiangping Bu;Cheng-Zhong Xu;Leyi Wang

  • System identification using binary sensors

    Le Yi Wang;Ji-Feng Zhang;G.G. Yin

  • A novel method to obtain the open circuit voltage for the state of charge of lithium ion batteries in electric vehicles by using H infinity filter

    Rui Xiong;Quanqing Yu;Quanqing Yu;Le Yi Wang;Cheng Lin

  • Stability Margin Improvement of Vehicular Platoon Considering Undirected Topology and Asymmetric Control

    Yang Zheng;Shengbo Eben Li;Keqiang Li;Le-Yi Wang

  • Distributed Cooperative Optimal Control of DC Microgrids With Communication Delays

    Lei Ding;Qing-Long Han;Le Yi Wang;Eyad Sindi

  • System Identification with Quantized Observations

    Le Yi Wang;G. George Yin;Ji-Feng Zhang;Yanlong Zhao

  • A Generalized SOC-OCV Model for Lithium-Ion Batteries and the SOC Estimation for LNMCO Battery

    Caiping Zhang;Jiuchun Jiang;Linjing Zhang;Sijia Liu

  • Robust and Adaptive Estimation of State of Charge for Lithium-Ion Batteries

    Caiping Zhang;Le Yi Wang;Xue Li;Wen Chen

  • Communication Information Structures and Contents for Enhanced Safety of Highway Vehicle Platoons

    Lijian Xu;Le Yi Wang;Gang George Yin;Hongwei Zhang

  • Online joint-prediction of multi-forward-step battery SOC using LSTM neural networks and multiple linear regression for real-world electric vehicles

    Jichao Hong;Jichao Hong;Zhenpo Wang;Wen Chen;Le-Yi Wang

  • A capacity model based on charging process for state of health estimation of lithium ion batteries

    Xue Li;Jiuchun Jiang;Le Yi Wang;Dafen Chen

  • A rapid low-temperature internal heating strategy with optimal frequency based on constant polarization voltage for lithium-ion batteries

    Haijun Ruan;Jiuchun Jiang;Bingxiang Sun;Weige Zhang

  • Asymptotically efficient parameter estimation using quantized output observations

    Le Yi Wang;G. George Yin

  • Enhanced Identification of Battery Models for Real-Time Battery Management

    M Sitterly;Le Yi Wang;G G Yin;Caisheng Wang

  • Integrated System Identification and State-of-Charge Estimation of Battery Systems

    Lezhang Liu;Le Yi Wang;Ziqiang Chen;Caisheng Wang

  • A low-temperature internal heating strategy without lifetime reduction for large-size automotive lithium-ion battery pack

    Jiuchun Jiang;Haijun Ruan;Bingxiang Sun;Leyi Wang

  • Robust Longitudinal Control of Multi-Vehicle Systems—A Distributed H-Infinity Method

    Shengbo Eben Li;Feng Gao;Keqiang Li;Le-Yi Wang

  • Influence of information flow topology on closed-loop stability of vehicle platoon with rigid formation

    Yang Zheng;Shengbo Eben Li;Jianqiang Wang;Le Yi Wang

  • Online accurate state of health estimation for battery systems on real-world electric vehicles with variable driving conditions considered

    Jichao Hong;Zhenpo Wang;Wen Chen;Leyi Wang

  • Adaptive State of Charge Estimation for Li-Ion Batteries Based on an Unscented Kalman Filter with an Enhanced Battery Model

    Zhiwei He;Mingyu Gao;Caisheng Wang;Leyi Wang

  • Joint identification of plant rational models and noise distribution functions using binary-valued observations

    Le Yi Wang;G. George Yin;Ji-Feng Zhang

Frequent Co-Authors

George Yin
George Yin University of Connecticut
Ji-Feng Zhang
Ji-Feng Zhang Chinese Academy of Sciences
Feng Lin
Feng Lin Wayne State University
Caisheng Wang
Caisheng Wang Wayne State University
Jiuchun Jiang
Jiuchun Jiang Hubei University of Technology
Jing Sun
Jing Sun University of Michigan–Ann Arbor
Wei Xing Zheng
Wei Xing Zheng Western Sydney University
Weige Zhang
Weige Zhang Beijing Jiaotong University
Shengbo Eben Li
Shengbo Eben Li Tsinghua University
Keqiang Li
Keqiang Li Tsinghua University

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