World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
55
Citations
11433
World Ranking
898
National Ranking
37

Overview

Xianke Lin is affiliated with the University of Ontario Institute of Technology in Canada and specializes in research within the engineering discipline. Their work is primarily concentrated in several subfields, including automotive engineering, electrical and electronic engineering, computer vision and pattern recognition, control and systems engineering, as well as safety, risk, reliability, and quality.

The scientist's research covers a range of main topics related to advanced battery technologies and electric vehicles. These topics include advanced battery technologies research, electric vehicles and infrastructure, advancements in battery materials, electric and hybrid vehicle technologies, advanced battery materials and technologies, reliability and maintenance optimization, and vehicle emissions and performance.

Lin has contributed to numerous peer-reviewed publications. Some of their recent papers include:

  • "Battery Lifetime Prognostics," 2020, published in Joule
  • "Advanced Fault Diagnosis for Lithium-Ion Battery Systems: A Review of Fault Mechanisms, Fault Features, and Diagnosis Procedures," 2020, published in IEEE Industrial Electronics Magazine
  • "Data-driven state of charge estimation for lithium-ion battery packs based on Gaussian process regression," 2020, published in Energy
  • "Advanced battery management strategies for a sustainable energy future: Multilayer design concepts and research trends," 2020, published in Renewable and Sustainable Energy Reviews
  • "Lithium Plating Mechanism, Detection, and Mitigation in Lithium-Ion Batteries," 2021, published in Progress in Energy and Combustion Science

Lin collaborates frequently with several researchers, including Xiao Hu, Xiaolin Tang, Zhongwei Deng, Yi Xie, and Yunhong Che.

The scientist's publications are often featured in established journals and conferences. Their frequent publication venues include:

  • IEEE Transactions on Transportation Electrification
  • IEEE Transactions on Vehicular Technology
  • Energy
  • IEEE Transactions on Power Electronics
  • arXiv (Cornell University)

Best Publications

  • Battery Lifetime Prognostics

    Xiaosong Hu;Le Xu;Xianke Lin;Michael Pecht

  • Advanced Fault Diagnosis for Lithium-Ion Battery Systems: A Review of Fault Mechanisms, Fault Features, and Diagnosis Procedures

    Xiaosong Hu;Kai Zhang;Kailong Liu;Xianke Lin

  • Lithium Plating Mechanism, Detection, and Mitigation in Lithium-Ion Batteries

    Xianke Lin;Kavian Khosravinia;Xiaosong Hu;Ju Li

  • Data-driven state of charge estimation for lithium-ion battery packs based on Gaussian process regression

    Zhongwei Deng;Xiaosong Hu;Xianke Lin;Yunhong Che

  • Data-Driven Battery State of Health Estimation Based on Random Partial Charging Data

    Unknown

  • Advanced battery management strategies for a sustainable energy future: Multilayer design concepts and research trends

    Haifeng Dai;Bo Jiang;Xiaosong Hu;Xianke Lin

  • Remaining Useful Life Prediction Using a Novel Feature-Attention-Based End-to-End Approach

    Unknown

  • Battery health estimation with degradation pattern recognition and transfer learning

    Unknown

  • Health prognostics for lithium-ion batteries: mechanisms, methods, and prospects

    Unknown

  • Battery Health Prediction Using Fusion-Based Feature Selection and Machine Learning

    Xiaosong Hu;Yunhong Che;Xianke Lin;Simona Onori

  • A Comprehensive Capacity Fade Model and Analysis for Li-Ion Batteries

    Xianke Lin;Jonghyun Park;Lin Liu;Yoonkoo Lee

  • Longevity-conscious energy management strategy of fuel cell hybrid electric Vehicle Based on deep reinforcement learning

    Unknown

  • Simulation and Experiment on Solid Electrolyte Interphase (SEI) Morphology Evolution and Lithium-Ion Diffusion

    Unknown

  • Predictive Battery Health Management With Transfer Learning and Online Model Correction

    Yunhong Che;Zhongwei Deng;Xianke Lin;Lin Hu

  • Enabling high-fidelity electrochemical P2D modeling of lithium-ion batteries via fast and non-destructive parameter identification

    Unknown

  • A thermal-electrochemical model that gives spatial-dependent growth of solid electrolyte interphase in a Li-ion battery

    Lin Liu;Jonghyun Park;Xianke Lin;Ann Marie Sastry

  • General Discharge Voltage Information Enabled Health Evaluation for Lithium-Ion Batteries

    Zhongwei Deng;Xiaosong Hu;Xianke Lin;Le Xu

  • A Review of Second-Life Lithium-Ion Batteries for Stationary Energy Storage Applications

    Unknown

  • Health Prognosis for Electric Vehicle Battery Packs: A Data-Driven Approach

    Xiaosong Hu;Yunhong Che;Xianke Lin;Zhongwei Deng

  • A review of equalization strategies for series battery packs: variables, objectives, and algorithms

    Fei Feng;Xiaosong Hu;Jianfei Liu;Xianke Lin

  • A Comparative Study of Control-Oriented Thermal Models for Cylindrical Li-Ion Batteries

    Xiaosong Hu;Wenxue Liu;Xianke Lin;Yi Xie

  • Reliable state of charge estimation of battery packs using fuzzy adaptive federated filtering

    Lin Hu;Xiaosong Hu;Yunhong Che;Fei Feng

  • State of health prognostics for series battery packs: A universal deep learning method

    Yunhong Che;Zhongwei Deng;Penghua Li;Xiaolin Tang

  • An MPC-Based Control Strategy for Electric Vehicle Battery Cooling Considering Energy Saving and Battery Lifespan

    Yi Xie;Chenyang Wang;Xiaosong Hu;Xianke Lin

  • Oxygen Vacancies Lead to Loss of Domain Order, Particle Fracture, and Rapid Capacity Fade in Lithium Manganospinel (LiMn2O4) Batteries

    Xiaoguang Hao;Xianke Lin;Wei Lu;Bart M. Bartlett

  • Model predictive control of hybrid electric vehicles for fuel economy, emission reductions, and inter-vehicle safety in car-following scenarios

    Xiaosong Hu;Xiaoqian Zhang;Xiaolin Tang;Xianke Lin

  • Eco-driving control of connected and automated hybrid vehicles in mixed driving scenarios

    Siyang Wang;Xianke Lin

  • Ensemble Reinforcement Learning-Based Supervisory Control of Hybrid Electric Vehicle for Fuel Economy Improvement

    Bin Xu;Xiaosong Hu;Xiaolin Tang;Xianke Lin

Frequent Co-Authors

Xiaosong Hu
Xiaosong Hu Chongqing University
Michael Pecht
Michael Pecht University of Maryland, College Park
Simona Onori
Simona Onori Stanford University
Huei Peng
Huei Peng University of Michigan–Ann Arbor

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