Road

This thesis aims to develop a structured methodology for evaluating the performance of Level 2 lane-centring systems. The research will define objective metrics for lateral deviation, steering smoothness, stability under varying curvature, and robustness to degraded lane markings or environmental disturbances. Both simulation-based and experimental validation approaches will be considered to ensure repeatability and regulatory Read more

This thesis addresses accurate vehicle trajectory reconstruction at low speeds in GNSS-denied environments such as parking structures or indoor facilities. Pure IMU integration suffers from drift caused by bias accumulation and sensor noise. The research proposes combining IMU-based odometry with a kinematic steering model (e.g., bicycle model) to constrain vehicle motion and reduce estimation errors. Read more

This thesis evaluates the potential integration of commercial or innovative supercapacitors into BEV or PHEV architectures to enhance propulsion performance, regenerative braking efficiency, and/or reduce system weight. The research will include system-level modelling of hybrid battery–supercapacitor configurations, energy flow simulations, and performance trade-off analysis. Particular attention will be paid to packaging constraints, thermal implications, cost-benefit Read more

The objective of this thesis is to reconstruct vehicle trajectories during cornering manoeuvres using wide-view lateral cameras. By applying geometric transformations and image merging techniques, a top-view representation of the driven line will be generated. The system will allow overlaying multiple passes on the same corner to analyse consistency and performance differences, particularly in track Read more

This thesis focuses on developing computer vision algorithms capable of extracting tyre-related information from lateral onboard vehicle cameras. By analysing visible tread patterns, the system aims to classify tyre type (e.g., summer, winter, performance) and estimate wear level under real driving conditions. The research will involve image preprocessing, deep learning classification models, robustness evaluation under Read more

This thesis investigates the feasibility of replacing traditional rule-based vehicle software with an embedded AI agent capable of managing component-level vehicle functions. Instead of deterministic logic, the AI system would be trained to reproduce expected behaviours of actuators such as wipers, convertible roof systems, lighting, or other basic functions. The research will address training strategies, Read more

The objective is to review and apply advanced simulation techniques for predicting squeak and rattle phenomena in interior trim components. The research will investigate nonlinear contact modelling, friction-induced vibration, multibody dynamics, and finite element methods. Validation will compare simulation outputs with experimental vibration data. The thesis will be conducted in cooperation with a car manufacturer, Read more

This research aims to identify and evaluate commercially available or near-commercial trim materials with negative carbon impact suitable for automotive interiors. The study will assess mechanical properties, durability, fire safety, cost competitiveness, manufacturability, and lifecycle environmental impact through comparative analysis with traditional materials. The thesis will be carried out in cooperation with a car manufacturer, Read more

The objective of this thesis is to design and dimension a phase-change-material-to-coolant heat exchanger for thermal regulation of automotive printed circuit boards operating under transient loads. The work will involve analytical modelling, CFD simulations, transient heat transfer analysis, material selection, and integration studies within vehicle cooling loops. The aim is to enhance thermal stability while Read more

This thesis investigates passive and active strategies to mitigate thermal runaway propagation in lithium-ion battery packs for automotive applications. The research will include thermal modelling, material barrier analysis, active cooling countermeasures, gas venting systems, and integration considerations within battery modules. Safety standards, regulatory frameworks, and validation procedures will also be considered. The thesis will be Read more

This research focuses on reducing rare-earth magnet content in automotive electric motors while preserving torque density, efficiency, and overall performance. The thesis will explore alternative rotor topologies, flux concentration strategies, advanced control algorithms, and electromagnetic optimization through finite element analysis. Thermal and mechanical implications of magnet reduction will also be evaluated. The work will be Read more

This thesis explores the feasibility of replacing wired connections to ADAS cameras with secure wireless transmission of both power and high-bandwidth data streams (including CAN and raw video). The research will investigate wireless power transfer technologies, electromagnetic compatibility, signal integrity, cybersecurity requirements, and functional safety compliance under automotive standards. System-level modelling will evaluate efficiency, reliability, Read more

The objective of this thesis is to investigate alternative antenna integration concepts that eliminate current windshield-mounted antennas located near ADAS cameras. The research will explore electromagnetic compatibility, signal propagation modelling, packaging constraints, and regulatory compliance aspects. The work will assess performance trade-offs between signal strength, sensor visibility, structural integration, and vehicle design requirements. Prototypes or Read more

This thesis aims to systematically explore innovative alternatives to conventional automotive cooling systems. The thesis will include a structured state-of-the-art review of emerging thermal management technologies such as immersion cooling, two-phase cooling, and high-performance heat exchangers. The study will evaluate technological feasibility, thermal performance, scalability, packaging constraints, sustainability implications, and cost competitiveness. A comparative framework Read more

The purpose of this thesis is to design and train an algorithm capable of extracting detailed road surface profiles from 3D LiDAR point cloud data. The research will investigate advanced filtering techniques, surface reconstruction methods, and machine learning models to accurately detect road irregularities such as bumps, potholes, and uneven surfaces. The reconstructed road profile Read more

This thesis aims to develop predictive models capable of anticipating customer driving and charging behaviour based on large-scale fleet telematics data. By leveraging machine learning techniques and statistical analysis, the research will extract meaningful patterns from historical usage data, including trip frequency, parking duration, charging cycles, environmental conditions, and driving styles. The objective is to Read more