Electrical Engineering

Welcome to the Master Thesis Presentation Design and Performance Evaluation of a Double-three-phase Inverter - DC-Link Thermal Evaluation and Lifetime Estimation by&nbsp;Jedsada Yodwong &nbsp; Master’s thesis conducted within the framework of EU Powerdrive project, part of ongoing research at Chalmers University of Technology, Sweden&nbsp;
Supervisor: Artem Rodionov Examiner: Yujing Liu&nbsp; Opponents: Gustav le Dous &nbsp; Time: 13:30-14:30 &nbsp;on Monday, 10 November 2025 Place: E2 Uno Lamm room, Department of Electric Power Engineering
Abstract: The thesis presents the design, implementation, and experimental evaluation of a double–three–phase traction inverter based on silicon carbide (SiC) power modules for heavy duty electric vehicle applications. The work focuses on achieving high power density and robust thermal performance through co-design of the DC-link capacitor bank and laminated busbar structure. Two alternative DC-link layouts were investigated: Case I, with capacitors mounted above the busbar, and Case II, with capacitors in direct contact with the housing. A comprehensive methodology combining analytical modeling, MATLAB/Simulink simulations, and laboratory testing was employed. Open-loop SVPWM tests validated inverter functionality, while thermal performance was assessed under RMS ripple currents of 156 Arms and 300 Arms at 10 kHz under 2 thermal conditions: with and without liquid cooling. Results show that liquid cooling significantly reduces busbar temperatures (up to 67% in Case I), whereas capacitor hot-spot remain dominated by internal thermal paths, limiting improvements to 18–21%. Lifetime analysis, based on datasheet models, experimental data, and MATLAB/Simulink model, indicates that capacitor lifetime is highly sensitive to temperature. Under ideal assumptions, the lifetime at 55 ◦C ambient was estimated at 24.8 years, whereas experimentally adjusted scenarios ranged from 8.7 to 13.1 years. Liquid cooling improved lifetime by up to 50% at high ripple currents compared to the worst case, emphasizing the importance of accurate thermal modeling and integrated cooling strategies for next-generation traction inverters.
Welcome!
Jedsada, Artem &amp; Yujing

Welcome to the master thesis presentation “Design and Development of a Novel Sensorized Orthosis for Orthopedic Rehabilitation”; by Yuhong Zhou
Friday November 28th, 13:00-14:00, in room 2503 Fredrik Lamm.
Opponents: Fanze Meng and Pengcheng Shen
Supervisor: Fabian Just
Examiner: Emmanuel Dean
Abstract: This thesis presents the design, development, and implementation of a novel sensorized orthosis for orthopedic rehabilitation. The system addresses the lack of quantitative feedback in traditional passive braces by integrating compact sensing and data communication modules into a lightweight and modular structure. An absolute rotary encoder and two six-axis IMUs were employed to measure knee joint angle and motion dynamics in real time. The embedded controller, based on an ESP32-S3 microcontroller, supports high-frequency data acquisition, local microSD logging, and wireless communication with the ROS 2 framework, enabling both offline analysis and interactive applications.&nbsp; The system was designed as a fully independent and non-invasive add-on to a commercial postoperative brace, maintaining clinical compatibility while adding sensing capability. The complete system weighs approximately 180 grams and allows rapid attachment and removal without altering the brace’s mechanical properties. Experimental validation confirmed stable and synchronized sensor performance, accurate joint-angle estimation, and reliable differentiation between correct and incorrect rehabilitation motions.
An already developed Unity3D-based rehabilitation game was migrated to the proposed system, transforming repetitive rehabilitation exercises into engaging and data-driven tasks that enhance patient motivation and treatment adherence. The system bridges the gap between conventional orthopedic braces and robotic rehabilitation devices, establishing a foundation for intelligent, quantitative, and personalized rehabilitation assessment.
Welcome!
Yuhong, Fabian, and Dean

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Presentation of master thesis

Master thesis presentations at Electrical Engineering

10 November, 2025

13.30-14.30 Jedsada Yodwong, MPEPO

25 November, 2025

14:00-15:00 Yuhong Zhou, MPSYS