Dr Sompob Polmai

Department of Electrical Engineering

Lecturer

Contact details

Email  

sompob.po@kmitl.ac.th

 

 

Address

Department of Electrical Engineering

School of Engineering

King Mongkut’s Institute of Technology Ladkrabang

1 Chalongkrung Rd. Ladkrabang

Bangkok 10520

Thailand  

Sompob Polmai received the B.Eng. degrees in electrical power engineering from the King Mongkut’s Institute of Technology Ladkrabang (KMITL), Bangkok, Thailand, 2542, and M.Eng. degrees in Electrical Engineering, Nagoya University, Japan, 2543, respectively, and the Ph.D. degree in Electrical & Electronics Engineering, Osaka University, Japan, 2546. His current research interests include power electronics, microgrid, grid stability, control systems, battery modeling, motor control, machine learning, neural networks, renewable energy.

Sompob Polmai received the B.Eng. degrees in electrical power engineering from the King Mongkut’s Institute of Technology Ladkrabang (KMITL), Bangkok, Thailand, 2542, and M.Eng. degrees in Electrical Engineering, Nagoya University, Japan, 2543, respectively, and the Ph.D. degree in Electrical & Electronics Engineering, Osaka University, Japan, 2546. His current research interests include power electronics, microgrid, grid stability, control systems, battery modeling, motor control, machine learning, neural networks, renewable energy.

Recent Publications

 

Akkarawat Praisan; Sompob Polmai; Supat Kittiratsatcha “Accurate State of Charge Estimation of Lithium-Ion Battery using Recurrent and Non-Recurrent Neural Networks for WLTP Driving Profiles”, AEJ, Vol. 14, No. 4, Pp. 9–16, Nov. 2024.

K. Treebubpha, S. Polmai and S. Kittiratsatcha, “Online Parameters Identification for an IPMSM Based on Extended Kalman Filter,” 2024 27th International Conference on Electrical Machines and Systems (ICEMS), Fukuoka, Japan, 2024, pp. 2480-2483.

Teeraphon Phophongviwat, Sompob Polmai, Chaitouch Maneeinn, Komsan Hongesombut, and Kanchana Sivalertporn. “Technical Assessment of Reusing Retired Electric Vehicle Lithium-Ion Batteries in Thailand.” World Electric Vehicle Journal, June 2023.

K. Rupanwong, S. Kittiratsatcha and S. Polmai, “Comparison of Extended Kalman Filter and Long Short-Term Memory Neural Network for State of Charge Estimation of Lithium-Ion Battery,” 2023 9th International Conference on Engineering, Applied Sciences, and Technology (ICEAST), Vientiane, Laos, 2023, pp. 55-58.

A. Poungdokmai and S. Polmai, “Stabilization of power system using improved virtual inertia of virtual synchronous generator,” 2022 25th International Conference on Electrical Machines and Systems (ICEMS), Chiang Mai, Thailand, 2022, pp. 1-5.

C. Kamrueng, S. Kittiratsatcha and D. Sompob Polmai, “Fast Approach of Open Circuit Voltage Estimation for Li-ion Battery Based on OCV Error Compensation,” 2020 23rd International Conference on Electrical Machines and Systems (ICEMS), Hamamatsu, Japan, 2020, pp. 1583-1586.

C. Kamrueng, S. Kittiratsatcha and S. Polmai, “A Number of RC Pairs Consideration of Electrical Equivalent Circuit Model of Li-ion Battery,” 2020 6th International Conference on Engineering, Applied Sciences and Technology (ICEAST), Chiang Mai, Thailand, 2020, pp. 1-4.

D. Leng and S. Polmai, “Transient Respond Comparison Between Modified Droop Control and Virtual Synchronous Generator in Standalone Microgrid,” 2019 5th International Conference on Engineering, Applied Sciences and Technology (ICEAST), Luang Prabang, Laos, 2019, pp. 1-4.

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