World's Best Scientists 2026 revealed!
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Rising Stars
2025

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Rising Stars

D-Index
51
Citations
8391
World Ranking
299
National Ranking
100

Electronics and Electrical Engineering

D-Index
56
Citations
10579
World Ranking
2098
National Ranking
358

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Yujie Wang is affiliated with the University of Science and Technology of China. Their research expertise lies primarily in engineering, with a focus on subfields such as electrical and electronic engineering, automotive engineering, control and systems engineering, safety, risk, reliability and quality, and renewable energy, sustainability and the environment.

The core topics of Wang's research encompass advanced battery technologies research, advancements in battery materials, electric vehicles and infrastructure, electric and hybrid vehicle technologies, fuel cells and related materials, fault detection and control systems, and advanced battery materials and technologies.

Wang has published extensively in notable scientific venues. Frequent publication venues include:

  • Energy
  • Journal of Energy Storage
  • Applied Energy
  • eTransportation
  • IEEE Transactions on Power Electronics

Some of Wang's recent papers are:

  • A comprehensive review of battery modeling and state estimation approaches for advanced battery management systems, 2020, Renewable and Sustainable Energy Reviews
  • Low temperature preheating techniques for Lithium-ion batteries: Recent advances and future challenges, 2022, Applied Energy
  • A review of key issues for control and management in battery and ultra-capacitor hybrid energy storage systems, 2020, eTransportation
  • Digital twin and cloud-side-end collaboration for intelligent battery management system, 2021, Journal of Manufacturing Systems
  • Perspectives and challenges for future lithium-ion battery control and management, 2023, eTransportation

Wang collaborates frequently with other researchers. The most frequent co-authors are:

  • Zonghai Chen
  • Mince Li
  • Zhendong Sun
  • Haoxiang Xiang
  • Xingchen Zhang

In addition to journal publications, Wang has contributed to book literature. One such publication is titled AI for Status Monitoring of Utility Scale Batteries, released in 2022 by the Institution of Engineering and Technology.

Best Publications

  • A comprehensive review of battery modeling and state estimation approaches for advanced battery management systems

    Yujie Wang;Jiaqiang Tian;Zhendong Sun;Li Wang

  • A novel Gaussian process regression model for state-of-health estimation of lithium-ion battery using charging curve

    Duo Yang;Xu Zhang;Rui Pan;Yujie Wang

  • A method for state-of-charge estimation of LiFePO4 batteries at dynamic currents and temperatures using particle filter

    Yujie Wang;Chenbin Zhang;Zonghai Chen

  • State-of-health estimation for the lithium-ion battery based on support vector regression

    Duo Yang;Yujie Wang;Rui Pan;Ruiyang Chen

  • Energy management strategy for battery/supercapacitor/fuel cell hybrid source vehicles based on finite state machine

    Yujie Wang;Zhendong Sun;Zonghai Chen

  • A novel state of health estimation method of Li-ion battery using group method of data handling

    Ji Wu;Yujie Wang;Xu Zhang;Zonghai Chen

  • Modeling and state-of-charge prediction of lithium-ion battery and ultracapacitor hybrids with a co-estimator

    Yujie Wang;Chang Liu;Rui Pan;Zonghai Chen

  • A method for joint estimation of state-of-charge and available energy of LiFePO4 batteries

    Yujie Wang;Chenbin Zhang;Zonghai Chen

  • A review of key issues for control and management in battery and ultra-capacitor hybrid energy storage systems

    Yujie Wang;Li Wang;Mince Li;Zonghai Chen

  • A novel framework for Lithium-ion battery modeling considering uncertainties of temperature and aging

    Xiaopeng Tang;Yujie Wang;Changfu Zou;Ke Yao

  • Adaptive energy management strategy for fuel cell/battery hybrid vehicles using Pontryagin's Minimal Principle

    Xiyun Li;Yujie Wang;Duo Yang;Zonghai Chen

  • Digital twin and cloud-side-end collaboration for intelligent battery management system

    Yujie Wang;Ruilong Xu;Caijie Zhou;Xu Kang

  • Development of energy management system based on a rule-based power distribution strategy for hybrid power sources

    Yujie Wang;Zhendong Sun;Zonghai Chen

  • A framework for state-of-charge and remaining discharge time prediction using unscented particle filter

    Yujie Wang;Zonghai Chen

  • A Neural Network Based State-of-Health Estimation of Lithium-ion Battery in Electric Vehicles ☆

    Duo Yang;Yujie Wang;Rui Pan;Ruiyang Chen

  • Degradation model and cycle life prediction for lithium-ion battery used in hybrid energy storage system

    Chang Liu;Yujie Wang;Zonghai Chen

  • A novel active equalization method for lithium-ion batteries in electric vehicles

    Yujie Wang;Chenbin Zhang;Zonghai Chen;Jing Xie

  • A method for state-of-charge estimation of LiFePO4 batteries based on a dual-circuit state observer

    Xiaopeng Tang;Yujie Wang;Zonghai Chen

  • An on-line estimation of battery pack parameters and state-of-charge using dual filters based on pack model

    Xu Zhang;Yujie Wang;Duo Yang;Zonghai Chen

  • A fractional-order model-based state estimation approach for lithium-ion battery and ultra-capacitor hybrid power source system considering load trajectory

    Yujie Wang;Guangze Gao;Xiyun Li;Zonghai Chen

  • Load-adaptive real-time energy management strategy for battery/ultracapacitor hybrid energy storage system using dynamic programming optimization

    Chang Liu;Yujie Wang;Li Wang;Zonghai Chen

Frequent Co-Authors

Furong Gao
Furong Gao Hong Kong University of Science and Technology

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