Assoc Prof Dr. Qingzhi Lai, Ocean Engineering Award, Young Scientist Award
PHD at Harbin Institute of Technology, China
Dr. Lai Qingzhi is an Associate Professor and Deputy Department Chair at the School of New Energy, Harbin Institute of Technology, Weihai. With a Ph.D. in Engineering Thermophysics and extensive experience in atmospheric and oceanic sciences, he specializes in energy engineering and thermophysics. His research interests include atmosphere-ocean radiative transfer, energy storage, and thermal control technology. Dr. Lai has published extensively in reputable journals, contributing significantly to the field. With a strong academic background and leadership roles, he continues to advance research in integrated smart energy and energy digitization.
Professional Profiles:
Education:
Ph.D. in Engineering Thermophysics, Harbin Institute of Technology (2017 – 2021) Graduate Research Traineeship (GRT) in Atmospheric and Oceanic Sciences, McGill University (2020 – 2021) M.Sc. in Power Engineering and Engineering Thermophysics, Harbin Institute of Technology (2015 – 2017) B.Sc. in Energy and Power Engineering, Harbin Institute of Technology (2011 – 2015)
Employment:
Associate Professor (2024 – Present): School of New Energy, Harbin Institute of Technology, Weihai Deputy Department Chair (2023 – Present): School of New Energy, Harbin Institute of Technology, Weihai Lecturer (2022 – 2023): School of New Energy, Harbin Institute of Technology, Weihai
Research Interests:
Atmosphere-ocean radiative transfer and Ocean remote sensing Integrated Smart Energy and Energy Digitization Efficient energy storage and thermal control technology
AWARDS
Highly Cited Original Paper 2016, Applied Energy:
Research Focus:
Dr. Qingzhi Lai’s research primarily focuses on the electrochemical modeling and parameter estimation of battery systems, particularly lead-acid and lithium-ion batteries. His work encompasses methods for state-of-charge (SOC) estimation, optimization of charging strategies for battery maintenance, and analysis of parameter sensitivity in battery electrochemical dynamics. Additionally, Dr. Lai explores thermal coupling models for batteries under various operating conditions, including low temperatures. His research contributes to the development of efficient battery management strategies, optimization of charging protocols, and advancement of battery system identification techniques, ultimately enhancing the performance and reliability of electric vehicle and energy storage systems.
Publications (TOP NOTES)
Apparatus for mining battery characteristic data having sensitivity to solid phase diffusion coefficient of battery electrode and method thereof, Publication date: 2022.
Error Analysis for Parameter Estimation of Li-ion Battery subject to System Uncertainties, Publication date: 2023.
Temperature Sensor Deployment for Scalable Battery Packs, Publication date: 2020.