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Project Description:
Optimizing vehicle design requires balancing energy efficiency, performance, and handling. Traditional methods, involving extensive simulations, are slow and impractical for large design spaces. Surrogate modeling, using machine learning, offers a faster solution by learning complex input-output relationships from existing simulation data. Once trained, these models can predict system responses across the design space, reducing the need for exhaustive simulations. With adaptive learning, the models improve as new data becomes available, speeding up the optimization process.
Scope:

• Utilize Design of Experiments (Do E) and generate training data from existing system simulation framework.
• Identify suitable ML model(s) and develop it to accurately predict system responses, incorporating online learning to refine predictions with new data.

Solve the optimization problem (e.g. minimizing energy consumption) using the trained ML model and compare the process and results to traditional optimization methods.



Key focus areas: Energy efficiency, Digitalization and AI
To understand more about the project, see the following research paper: Bhattacharjee, Debraj, et al. "Data-driven surrogate assisted evolutionary optimization of hybrid powertrain for improved fuel economy and performance." Energy 183 (2019): 235-248.
Your skills and background

• Currently pursuing a master's degree in Automotive Engineering, Machine Learning, Computer Science, Data Science or a related field.
• Proficiency in programming languages such as Python or MATLAB, with experience in ML libraries like Tensor Flow, Keras, or scikit-learn.
• Understanding of fundamental ML concepts, algorithms, and techniques, especially in regression and neural networks.
• Familiarity with vehicle system simulations and tools used in automotive design is a plus.
• Knowledge of optimization algorithms and experience with evolutionary strategies is a plus.

Why you should join Zeekr Tech Eu
We are engineers, developers, and innovators from around the world. Joined together by entrepreneurship, our unique blend of global culture, and a belief in a smarter more sustainable future. At Zeekr Tech Eu we fast-track innovation and transform ideas into pioneering technology solutions, doing your master thesis here is no different. We are convinced that a thesis project is a major contribution to our innovation capabilities and long-term development. You'll have a great opportunity to use your skills and creativity to push the boundaries of what´s possible.
What happens when you apply
If this sounds interesting and you match the requirements, please don't hesitate to submit your application with a CV and cover letter. Shortlisted candidates will be contacted for an interview to further discuss the project's details and expectations.

This thesis project is intended for 1 or 2 students

Don't hesitate to get in touch with the supervisors for more information about the project:

• 
  Yu Xu, yu.xu2@zeekrtech.eu
• Prajwal Bharadwaj, prajwal.bharadwaj@zeekrtech.eu

Starting date: January 2024
Last application date: 2024-11-06

Apply today. We will perform ongoing selection during the application period. We look forward to hearing from you!
Please note that due to GDPR regulations, we can only accept applications sent through the recruitment system, not via email or other channels.