This paper presents a physics-informed hybrid analytical-empirical model for gallium nitride high electron mobility transistors (GaN-HEMTs), implemented in MATLAB for transient and frequency-domain simulations. The model unifies three dominant physical mechanisms: (i) dynamic drift velocity based on the momentum balance (MB) equation, (ii) nonlinear parasitic effects via gate/drain RC trap subcircuits, and (iii) thermal feedback using temperature-dependent mobility and threshold voltage. Unlike compact or black-box models, this framework requires no proprietary measurements. Simulation results demonstrate critical phenomena such as gate-lag, current collapse, and dynamic Ron degradation. The model predicts up to 18% drain current reduction under thermal stress and 22% increase in on-state resistance during switching due to parasitic and thermal effects. A frequency-dependent phase lag of the drift velocity caused by carrier inertia is also observed. The proposed MATLAB-based model supports device/circuit co-simulation and is suitable for high-frequency GaN converter applications.

On the Move Battery Charging Systems (OMBCS) are of great prominence for the flexible charging of Electric Vehicles (EVs). This paper presents an in-depth analysis of a power control strategy custom-made for the on-move battery charging of electric vehicles (EVs). In particular, the focus is on the intricate analysis of the secondary coil system with an emphasis on communication-less power control mechanisms. Traditional methods often rely on complex communication protocols between the primary and secondary coils, which can be cumbersome and inefficient for on-the-go charging scenarios. The unique approach seeks to mitigate these challenges by developing a power control strategy that adapts to dynamic operating conditions. By leveraging the magnetic coupling between the primary and secondary coils, the system achieves efficient power transfer while maintaining the finest charging performance. Through simulations, the control is demonstrated with the effectiveness of misalignment tolerance in enabling seamless on-move battery charging for electric vehicles.

One of the most widely used and studied hybrid electrical energy storage system (HESS) configurations has been the combination of batteries and supercapacitors (SCs). Advantages expected from the combination of batteries and SCs include the extension of battery life, rapid energy storage, suitability as a HESS for intermittent energy sources, and reduced environmental impact. Various topologies are used to connect the batteries and SCs. These can be classified as passive, active, and semi-active. In passive topology the storage elements are interconnected directly while in an active topology, the storage elements are connected via DC-DC converters. In a semi-active topology, a single DC-DC converter is used to connect the pre-connected storage elements to the load. In this paper, four different HESS models have been compared and analysed for the Electric Vehicle (EV) application with respect to the DC-DC converter arrangements and various scenarios of placement of battery pack and SC modules. However, the viability of HESS implementation depends on several technical and economic factors discussed here.

The induction machine is considered as the most reliable and robust electric machine and widely used for various applications. The induction machine is a nonlinear system. Therefore, its operating point stability analysis can be done using the Lyapunov function approach. In this paper, a model of the induction machine is analyzed, and an approach to find a Lyapunov function for the machine is discussed. The Lyapunov function has its region-of-attraction which is also analyzed in the paper. The simulation results are shown to support analysis.