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Electrical Engineering

Master´s programmes

Master's thesis

Electrical Engineering

Master's thesis

The diploma thesis work may be conducted within one of our research divisions, or within a company.

General guidelines, forms and instructions for Master's thesis

Coming Master´s thesis presentations

Coming Master´s thesis presentations at the department

Available Master´s thesis work

At the department

(170223) Microwave based vital sign detection and monitoring

(170307) 5G 3D high-accuracy positioning

(170307) Deep neural networks for signal detection in fiber-optic systems

(170928) Stochastic optimal planning of driving missions for heavy-duty vehicles

(171013) Design of PM synchronous traction motor for electric vehicles

At companies

(170821) Digital control of the DC/DC stage of a 300 kW fast charger station
(170821) Thermal design of a compact 300 kW fast charger station considering packaging, installation and standard regulations

(170918) Driving automation of trucks in winter conditions, prioritize between maintain path curvature or stopping distance during braking in a turn

(170918) Improved driving automation of FMX Truck by including normal force control and estimation on wheel level
(170918) Roll stability control of autonomous truck combination

(170927) Multivariable combustion control system

(170928) Real-time performance and robustness of QP solvers, used in vehicle automation control system's actuator coordination by control allocation

(171002) Intelligent safety systems

(171005) Advanced physicochemical modelling of lithium ion batteries for electric vehicles

(171006) An evasive maneuver assist function for over-reacted drivers

(171006) Deep learning for big data analytics for predictive aging models in electrical vehicles

(171006) Embedded high performance computing in battery electric vehicles

(171006) On-line electrochemical impedance spectroscopy using cell controller boards

(171006) Machine learning to predict online battery lifetime in electric vehicles

(171006) On-line algorithms for detecting and isolating electrical errors in high-voltage battery packs

(171006) Machine learning to predict future power and energy demands in battery electric vehicles

(171006) On-line open circuit voltage estimation on lithium-ion batteries in electrical vehicles

(171006) On-line adaptive dual estimation of li-ion battery state and parameters in electric vehicles

(171006) Wireless battery management system for lithium ion battery in electric vehicles

(171006) Modelling of battery stress in a PHEV vehicle

(171009) Source reconstruction given electromagnetic fields generated by supplier components for electric vehicles

(171012) Virtual integration and simulation of autonomous vehicle systems

(171013) Pupillary measures as indicators of whether a task is cognitively or automatically controlled

Published: Tue 14 Aug 2012. Modified: Fri 13 Oct 2017

Apply for Challenge Lab

Apply for Challenge Lab

Master’s students from all disciplines are invited to apply to Challenge Lab - to take on the planet's biggest challenges together with industry, government and academia.