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Project Title: Development of Non-linear Model Predictive Control Techniques for Thermal Energy Management in Electric Vehicles under Cold Climate Conditions

Project Description: 

The proposed thesis project focuses on the development and implementation of advanced Non-linear Model Predictive Control (NMPC) strategies for the Thermal Energy Management System (TEMS) in electric vehicles (EVs), specifically tailored for operation under cold climatic conditions.

The primary objectives are:

• Plant Model tuning in GT-SUITE:
  Retune and calibrate the existing plant model of the TEMS in GT-SUITE to accurately simulate thermal dynamics and heat transfer processes in sub-zero temperatures.
• Development of Advanced NMPC Methods:
  Investigate and implement state-of-the-art NMPC algorithms suitable for controlling non-linear, multivariable systems with constraints.
• Stability and Robustness Analysis:
  Ensure the designed NMPC controller is both stable and robust under varying operating conditions and model uncertainties.
• Simulation and Validation:
  Validate the performance and efficacy of the NMPC strategies through comprehensive simulations and testing:
• MATLAB/Simulink Integration:
  Develop a co-simulation environment linking GT-SUITE and MATLAB/Simulink for dynamic analysis.
• Hardware-in-the-Loop (HIL) Testing:
  Implement the NMPC algorithms on a real-time simulator or ECU to test controller performance under realistic conditions.
• Performance Metrics Evaluation:
  Analyze key performance indicators such as thermal regulation accuracy, energy consumption, computational load, and response time.

• Expected Outcomes:

• A validated GT-SUITE plant model accurately representing EV thermal behavior in cold climates.
• Implementation of advanced NMPC algorithms demonstrating improved thermal management and energy efficiency.
• Detailed stability and robustness analysis reports with design recommendations.

Key focus areas:

• Thermal System Modeling
• Control Algorithm Development
• Stability and Robustness
• Simulation and Testing

Your skills and background

• Master's student in Control Systems Engineering, Mechanical Engineering, Electrical Engineering, or a closely related discipline with a strong foundation in control theory and thermal systems.
• Experience in GT-SUITE for thermal system modeling and simulation.
• Experience with MATLAB/Simulink, including Control System and MPC Toolboxes.
• Good understanding of non-linear control theory, numerical optimization, and computational algorithms.

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 1-2 students

Supervisor: Prashant Lokur, prashant.lokur@zeekrtech.eu, please contact for more information about the project

Starting date: January 2025

Last application date: 2024-11-22

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.