Data Analytics for Vehicle Thermal System Simulation Models
Volvo Business Services AB / Datajobb / Göteborg
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hela Sverige Master Thesis - Data Analytics for Vehicle Thermal System Simulation Models
Introduction
Modelling and simulation of vehicle systems is an important and integrated part of the development process for vehicles. It is of great importance that the simulation models learn and are continuously improved based on feedback from actual usage of the products in the hands of the customer. This is a growing field where we now offer an opportunity for you to contribute to the progress.
Who we are
The Thermal Management department within Vehicle Technology is responsible for developing, delivering, and maintaining an optimized Cab Climate and Thermal Supply systems for all types of propulsion installations to all truck brands within the Volvo Group. We are responsible for leading the work with strategies and advanced engineering globally. We are located at Gothenburg and Bangalore and we have close cooperation with the engineering sites located in Greensboro and Lyon. We understand the final customer needs and apply our knowledge to develop technical concepts and solutions that satisfy customer and business needs. The work is based on innovation, shared technology, common architecture and brand uniqueness. We want to make a difference by being there for our customers and by providing uptime and reliable products.
As a master thesis student in the Thermal Management Verification and Validation team you will be a valued contributor to our deliveries and continuous learning. You will be surrounded by a global and diverse team of highly skilled and engaged colleagues who will be interested in the progress of your work and eager to help and support along the way.
Description of tasks and expected outcome
Mapping of available data from customer trucks suitable for GT-Suite thermal model calibration and learning
Development of simulation process and automation through scripts for vehicle thermal system model calibration and learning
Identification of gaps with regards to data from customer trucks suitable for GT-Suite thermal model calibration and learning
Explore and map machine learning techniques and other modelling approaches for utilizing customer data analytics for thermal digital twin modeling, calibration, and continuous learning
Define and develop methodologies for optimal usage of customer data analytics for thermal digital twin vehicle models
Suitable background
This master thesis is a complex task that requires analytical skills and a deep understanding of tools and methodologies for data analytics and simulations. In order to be successful in this master thesis project we believe that it is important that you recognize yourself in the following description.
Final year student in Master program for Automotive, Physics, Mechatronics, Mechanical, Electrical Engineering or similar
Experience of using simulation tools such as GT-Suite, Simulink or similar
Programming skills in Python, Matlab or similar
Fundamental understanding of thermodynamics, with emphasis on fluid mechanics and heat transfer
Fundamental knowledge of vehicle technology
Analytical mindset and problem-solving skills
Fluent in English
Thesis level: Master, 30 ECTS credits
Number of students: 1-2
Start date: Second half of January 2024, or upon agreement
Industrial supervisors: Maria Krantz, Harshith Munimahadeva
Location: Volvo Lundby site, Gothenburg, Sweden
We look forward to receiving your application!
Så ansöker du Sista dag att ansöka är 2023-11-30
Klicka på denna länk för att göra din ansökan Omfattning Detta är ett heltidsjobb.
Arbetsgivare Volvo Business Services AB (org.nr 556029-5197)
405 08 GÖTEBORG
Arbetsplats Group Trucks Technology
Jobbnummer 8171775
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