All Outputs (5)

A Fast and Accurate GaN Power Transistor Model and Its Application for Electric Vehicle (2023)
Journal Article
Li, K., & Sen, S. (in press). A Fast and Accurate GaN Power Transistor Model and Its Application for Electric Vehicle. IEEE Transactions on Vehicular Technology, https://doi.org/10.1109/tvt.2023.3340297

In order to overcome the challenge of balancing accuracy with simulation speed of power electronics converters for system-level simulation, the paper proposes a GaN power transistor model that can accurately and rapidly predict power losses, which is... Read More about A Fast and Accurate GaN Power Transistor Model and Its Application for Electric Vehicle.

Deep Contrastive Representation Learning With Self-Distillation (2023)
Journal Article
Xiao, Z., Xing, H., Zhao, B., Qu, R., Luo, S., Dai, P., …Zhu, Z. (2024). Deep Contrastive Representation Learning With Self-Distillation. IEEE Transactions on Emerging Topics in Computational Intelligence, 8(1), 3-15. https://doi.org/10.1109/tetci.2023.3304948

Recently, contrastive learning (CL) is a promising way of learning discriminative representations from time series data. In the representation hierarchy, semantic information extracted from lower levels is the basis of that captured from higher level... Read More about Deep Contrastive Representation Learning With Self-Distillation.

Wide-Bandgap Power Semiconductors for Electric Vehicle Systems: Challenges and Trends (2021)
Journal Article
Van Do, T., Trovao, J. P. F., Li, K., & Boulon, L. (2021). Wide-Bandgap Power Semiconductors for Electric Vehicle Systems: Challenges and Trends. IEEE Vehicular Technology Magazine, 16(4), 89-98. https://doi.org/10.1109/MVT.2021.3112943

In recent years, researchers have been attracted to the application of wide-bandgap (WBG) power semiconductor devices such as silicon carbide (SiC) and gallium nitride (GaN) in electric vehicle (EV) applications. Their advantages over Si power semico... Read More about Wide-Bandgap Power Semiconductors for Electric Vehicle Systems: Challenges and Trends.

A GaN-HEMT Compact Model Including Dynamic RDSon Effect for Power Electronics Converters (2021)
Journal Article
Li, K., Evans, P. L., Johnson, C. M., Videt, A., & Idir, N. (2021). A GaN-HEMT Compact Model Including Dynamic RDSon Effect for Power Electronics Converters. Energies, 14(8), Article 2092. https://doi.org/10.3390/en14082092

In order to model GaN-HEMT switching transients and determine power losses, a compact model including dynamic RDSon effect is proposed herein. The model includes mathematical equations to represent device static and capacitance-voltage characteristic... Read More about A GaN-HEMT Compact Model Including Dynamic RDSon Effect for Power Electronics Converters.

A Study of the Truncated Square Pyramid Geometry for Enhancement of Super-hydrophobicity (2020)
Journal Article
(2020). A Study of the Truncated Square Pyramid Geometry for Enhancement of Super-hydrophobicity. Journal of Bionic Engineering, 17, Article 843-850. https://doi.org/10.1007/s42235-020-0070-z

Super-hydrophobic surfaces are quite common in nature, inspiring people to continually explore its water-repellence property and applications to our lives. It has been generally agreed that the property of super-hydrophobicity is mainly contributed b... Read More about A Study of the Truncated Square Pyramid Geometry for Enhancement of Super-hydrophobicity.