1. Education And Work Experience
Ø Education Experience
l 2014-2018 University of Technology Sydney, Faculty of Engineering and Information Technology, Doctor of Philosophy
l 2011-2014, Beijing Jiaotong University, School of Electrical Engineering, Master of Engineering
l 2007-2011, Beijing Jiaotong University, School of Electrical Engineering, Bachelor of Engineering
Ø Work Experience
l 2023-Present, Shenzhen Technology University, Sino-German College of Intelligent Manufacturing，Associate Professor
l 2019-2023, Jinan University, Institute of Rail Transportation/International Energy School，Associate Professor
2. Research Field And Achievements
Ø Project Experienc
1. “Fast charging method considering collaborative optimization of service life and thermal safety of lithium-ion batteries of electric vehicles”, Independent PI, Department of international exchange & cooperation of the Ministry of Education, 2023/05-2025/04.
2. “Residual energy detection of large-scale retired lithium-ion batteries for second-use applications”, Independent PI, Guangzhou Basic and Applied Basic Research Foundation, 2022/04-2024/03.
3. “Modeling of multi-dimensional similarity of incremental capacity for estimating states of lithium-ion packs with time-varying and uneven temperature”, Independent PI, National Natural Science Foundation of China, 2022/01-2024/12.
4. “Peak power prediction of lithium-ion batteries based on digital twins for electric vehicles”，Independent PI, Zhuhai Basic and Applied Basic Research Foundation, 2021/09-2023/08.
5. “State estimation algorithm and balance strategy for second-use lithium-ion batteries considering cell inconsistency”, Independent PI, Guangdong Basic and Applied Basic Research Foundation, 2019/10-2022/12.
Ø Recently Published Articles
1. X. Sun, Y. Cao, L. Zheng*, J. Yang, N. Xu, Q. Chen, A Comparative Investigation on Peak Current Solution Methods for Lithium-Ion Batt ery Peak Power Capability Prediction. IEEE Transactions on Energy Conversion, 2023,38(3):1691-1700.
2. X. Sun, N. Xu, Q. Chen, J. Yang, J. Zhu, J. Xu, L. Zheng*, State of Power Capability Prediction of Lithium-ion Battery from the Perspective of Electrochemical Mechanisms Considering Temperature Effect. IEEE Transactions on Transportation Electrification, 2023,9(2): 2453-2463.
3. Z Liang, Z Liang, Y Zheng, B Liang, L. Zheng*. Data Analysis and Visualization Platform Design for Batteries Using Flask-based Python Web Service. World Electric Vehicle Journal, 2021, 12, 187. (Excellent Paper Award of EVS34)
4. L. Zheng*, J. Zhu, D. D. Lu, G. Wang, T. He. Incremental Capacity Analysis and Differential Voltage Analysis Based State of Charge and Capacity Estimation for Lithium-ion Batteries. Energy, 2018,150:759-769. (ESI highly cited paper)
5. L. Zheng*, L. Zhang, J. Zhu, G. Wang, J. Jiang. Co-estimation of state-of-charge, capacity and resistance for lithium-ion batteries based on a high-fidelity electrochemical model. Applied Energy, 2016,180:424-434. (ESI highly cited paper)
Ø Other Academic Activities
l Guest Editor of special issues for the journals of Energies, Processes, etc.
l 2023 IEEE International Future Energy Electronics Conference (2023 IEEE IFEEC), Special Session Organizer.
l 2023 International Congress on Energy Chemistry and Engineering (ICECE 2023), Invited Speaker.
l 2021 International Conference on Power, Control and Electrical Engineering (PCEE 2021), Session Chair.
3. Teaching Summary
Circuit Analysis; Analog Electronic Technology; Undergraduate Graduation Design.
