Electrical Engineering

Welcome to the master thesis presentation &nbsp; Thermal Characterization of Large Lithium-ion cells
by Amithesh Selvakumar Rajeswari and Rajesh Vishwakarma &nbsp; Monday, October 20, 08:00 Lunnerummet, Chalmers, Hörsalsvägen 11 &nbsp; Opponent: Adithya Sivakumar, Suresh Chander Duraivel Examiner: Torbjörn Thiringer Abstract Accurate thermal management is critical for battery management systems (BMS) to prevent thermal runaway and optimize performance. The reliability of thermal models depends on precise characterization of material properties and heat generation, yet many existing models rely on assumed or incomplete parameters, limiting accuracy. This study investigates the thermal properties and behavior of 4695 cylindrical lithium-ion cells using a combined experimental and simulation-based approach. A custom-built isothermal calorimeter measured reversible and irreversible heat generation across various C-rates and temperatures, while entropic coefficients were determined using calorimetric and potentiometric methods to ensure consistency and validate the experimental setup. An Electrical Equivalent Circuit Model (EECM), developed with experimental and manufacturer-provided data, was integrated into a 3D electrothermal COMSOL model to analyze internal temperature distributions and heat propagation. Results show that heat generation rises significantly with increasing C-rate, with discharging producing up to 36% higher peak heat than charging, highlighting nonlinear scaling and the importance of tailored cooling strategies. Calorimeter calibration revealed systematic errors at low power, which were effectively mitigated by offset correction and noise filtering, reducing errors to below 4% at moderate to high power levels. Cooling simulations demonstrated that double-sided liquid cooling at a 60° configuration offers the best balance between thermal performance, uniformity, and practical design, outperforming single-sided and top cooling alternatives. Overall, the integrated experimental and modeling framework provides critical insights for the design of safer, more efficient thermal management systems in large-format lithium-ion batteries for electric vehicles.
Welcome! Amithesh, Rajesh and Torbjörn

Title: Optimization of estimating intrinsic parameters of a camera using a robot arm by Shilpa Sudhir
Date and time: 20 Oct, 13:30-14:30 Room: E2 Room 3311 LunneRummet Zoom link: <a rel="noopener" href="https://chalmers.zoom.us/j/8362581794" target="_blank" title="https://chalmers.zoom.us/j/8362581794">https://chalmers.zoom.us/j/8362581794</a>
Supervisors: Anders Ericsson and Jörgen Thaung&nbsp;
Examiner: Yasemin Bekiroglu
Opponents: Adhithyaa Ramesh and Prasanth Balaji P M.
Abstract: Eye-tracking technology is applied across industries such as automotive, aerospace, and human-computer interaction, where precise gaze estimation relies on the accurate calibration of eye-tracking cameras. The motivation behind using a robotic arm for the intrinsic calibration of an eye-tracking camera instead of a manual procedure stems from several key advantages related to precision, repeatability, and efficiency. The integration of a robotic arm into the intrinsic calibration process enhances the precision, repeatability, and controllability of camera pose positioning relative to the calibration target, thereby facilitating a more accurate and efficient calibration outcome. This eliminates the challenges and inconsistencies associated with manual camera movements and opens the door for automating and scaling the calibration process with minimal human involvement. The robotic arm ensures a level of consistency and reliability that would be hard to achieve manually, making it a compelling choice for eye-tracking camera calibration, especially in high-precision applications.
Welcome!
Shilpa and Yasemin

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Presentation of master thesis

Master thesis presentations at Electrical Engineering

20 October, 2025

08.00-09.00 Amithesh Selvakumar Rajeswari & Rajesh Vishwakarma, MPEPO

13.30-14.30 Shilpa Sudhir, MPSYS