Wesley Poh Qi Tong (EEE)

Lab Position: Ph.D. student (2020, Spring)

Email: WESL0005@e.ntu.edu.sg

Office: Department of Automotive System Engineering, Infineon Technologies Asia Pacific Pte Ltd.

Research Topic: Development of Robust Models for Data-Driven Machine Learning in Embedded Systems for Automotive Applications

Brief Biography:

Received the B.Eng. degree (Hons.) from the Singapore Institute of Technology in 2017 and the M.Phil. degree from Newcastle University, Singapore, in 2019, both in electrical power engineering. He is now pursuing the Ph.D. degree at the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. His research interests include data-driven prognostics for battery state-of-health, design of smart inverters, and control of self-powered dynamic systems.

Education:
2015 - 2017: BSc, School of Electrical and Electronic Engineering, Singapore Institute of Technology, Singapore
2017 - 2019: MPhil, School of Electrical and Electronic Engineering, Newcastle University, Singapore
2020 - NOW: PhD, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore

Publications:

[1] “Modelling and Integration of a Piezoelectric Cantilever Beam with Quasi-Z-Source Inverter for Self-Powered Dynamic System Application,” in 2020 IEEE Power and Energy Soc. General Meeting (PESGM), Montreal, QC, Canada, Aug. 2020.
[2] “Design and Control of a DC Collection System for Modular-Based Direct Electromechanical Drive Turbines in High Voltage Direct Current Transmission,” Electronics, vol. 9, no. 3, pp. 1-34, Mar. 2020.
[3] “A Novel Self-Powered Dynamic System Using a Quasi-Z-Source Inverter-Based Piezoelectric Vibration Energy Harvester,” Electronics, vol. 9, no. 2, pp. 1-21, Feb. 2020.
[4] “High-Performance CLL Resonant Multi-Channel LED Driver for Lighting Application,” in 2018 IEEE 4th Southern Power Electron. Conf. (SPEC), Singapore, Dec. 2018.
[5] “Modelling and Simulation of DC Microgrid,” in 2018 IEEE 4th Southern Power Electron. Conf. (SPEC), Singapore, Dec. 2018.
[6] “A Comparative Analysis between Z-Source and Quasi-Z-Source Inverters for Boost Operation,” in 2018 Asian Conf. Energy, Power and Transportation Electrification (ACEPT), Singapore, Oct. 2018.
[7] “Design and Simulation of a Piezoelectric Cantilever Beam for Mechanical Vibration Energy Harvesting,” in 2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia), Singapore, May 2018.
[8] “Microgrid Management Encompassing AC & DC Renewable Generations with Energy Storages,” in 2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia), Singapore, May 2018.
[9] W. Q. T. Poh, Y. Xu, and R. T. P. Tan, “A review of machine learning applications for li-ion battery state estimation in electric vehicles,” in 2022 IEEE Innovative Smart Grid Technologies – Asia (ISGT–Asia), Singapore, Nov. 2022.
[10] W. Q. T. Poh, Y. Xu, and R. T. P. Tan, “Data-driven estimation of li-ion battery health using a truncated time-based indicator and LSTM,” in 2023 IEEE Power and Energy Soc. General Meeting (PESGM), Orlando, FL, USA, Jul. 2023.