Master Thesis Brake Emission
Göteborg, SE, 417 15
Transport is at the core of modern society. Imagine using your expertise to shape sustainable transport and infrastructure solutions for the future? If you seek to make a difference on a global scale, working with next-gen technologies and the sharpest collaborative teams, then we could be a perfect match.
Digital sensor: AI model training and FE modelling of VOLVO Brake temperatures
Future heavy-duty transportation needs to be energy efficient and minimize the use of fossil fuels. Electrified powertrains have high propulsion efficiency but can also recuperate some of the energy during braking (regenerative braking). However, traditional brakes are also needed, and the optimal use of regenerative and traditional braking is a non-trivial task. The traditional braking system also emit wear particles which can cause severe effects on human health. In fact, the wear emissions (from both brakes, tyres and road) are the dominant source from transportation since 2013 (considering PM2.5). Legislation for wear particles will come in place with Euro 7. In order to design brake systems and components to meet these challenges, good models for temperatures of the system are essential. Availability of data from the brake system as well as test results from brake testing will support this work. The long-term objective for this project is to support electrification as well as reduce health impact from particle emissions
Project description
In collaboration with Volvo trucks, many different data sets from testing in brake dynamometer rigs as well as vehicles will be analyzed. Basically, acting as a digital temperature sensor, an AI model will be created and trained on this set of data. Further, an FE model of the brake disc will be created and parameters for heat input, cooling and heat flux will be calibrated using the same sets of data. These types of analyses are important when developing future solutions of brake systems for heavy-duty vehicles supporting electrification as well as reducing brake emissions as mandated by Euro 7.
About you
We seek 1-2 students looking for a Master’s thesis work with interest in FE simulations and AI and with an interest in supporting reduced impact from emissions. You should be skilled in Matlab/Python, FE analysis, AI and You should also have skills and interest in mechanical systems.
Contact information
Supervisors: Tore Vernersson (supervisor), tore.vernersson@chalmers.se, Martin Petersson (Volvo group), martin.k.petersson@volvo.com, Tobias Andersson (Volvo group), tobias.andersson.11@volvo.com, Gabriel Angerd, gabriel.angerd@volvo.com
Last day to apply is the 10th of November.
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Who we are and what we believe in
Our focus on Inclusion, Diversity, and Equity allows each of us the opportunity to bring our full authentic self to work and thrive by providing a safe and supportive environment, free of harassment and discrimination. We are committed to removing the barriers to entry, which is why we ask that even if you feel you may not meet every qualification on the job description, please apply and let us decide.
Applying to this job offers you the opportunity to join Volvo Group. Every day, across the globe, our trucks, buses, engines, construction equipment, financial services, and solutions make modern life possible. We are almost 100,000 people empowered to shape the future landscape of efficient, safe and sustainable transport solutions. Fulfilling our mission creates countless career opportunities for talents with sharp minds and passion across the group’s leading brands and entities.
Group Trucks Technology are seeking talents to help design sustainable transportation solutions for the future. As part of our team, you’ll help us by engineering exciting next-gen technologies and contribute to projects that determine new, sustainable solutions. Bring your love of developing systems, working collaboratively, and your advanced skills to a place where you can make an impact. Join our design shift that leaves society in good shape for the next generation.