Master Thesis in Thermal Management
Construction, Engineering & Trades · Civil & Industrial Engineering · Mechanical Engineering
In short
This Master Thesis focuses on automating the generation and validation of standardized Simulink thermal-system models from 1D model information. The role involves developing a Python-based framework and methodology to improve development efficiency and model reuse within the automotive industry, based in Gothenburg, Sweden.
Responsibilities
- Review current approaches to thermal-system modeling, model generation, and automation.
- Analyze existing 1D and Simulink models to identify information for automated generation.
- Define a standardized modeling methodology for structure, interfaces, and parameters.
- Develop a Python-based framework for automated Simulink model generation and parameterization.
- Develop automated verification and validation procedures.
- Demonstrate and evaluate the methodology on representative thermal-management system configurations.
- Compare the automated approach with conventional manual model development.
Requirements
- Final-year master’s student in Mechanical, Automotive, Mechatronics, Electrical Engineering, Engineering Physics, or a related field.
- Knowledge of thermodynamics and thermal-system modeling.
- Experience with MATLAB/Simulink.
- Programming skills, preferably in Python.
- Analytical and structured problem-solving skills.
- Fluent in English, written and spoken.
Desired Qualifications
- Knowledge of GT-Suite is advantageous.
Benefits
- Opportunity to work with next-gen technologies and collaborative teams.
- Contribute to shaping sustainable transport and infrastructure solutions.
- Work closely with a global team of experienced engineers and researchers.
- Gain experience in thermal-system engineering.
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