Thesis - Pre-trip & Dynamic Remaining-Energy Prediction for Battery EVs

We are Geely Technology Europe. A unified European R&D centre within Geely Auto Group, where world-class engineers, developers and innovators push the boundaries of intelligent mobility. Our mission is to shape the next generation of vehicle architectures, digital technologies and intelligent systems for global markets. We integrate European customer and regulatory requirements early in the development process and support multiple brands within the Geely portfolio, including Zeekr, Lynk & Co and Geely. With nearly two decades of engineering experience in Europe, we continue to build smart, sustainable and user-centric mobility solutions.

Project Description:

This thesis investigates energy prediction for battery electric vehicles across different stages of a trip. The project will first explore pre-trip energy prediction using planned route, vehicle and contextual information, and then investigate how the prediction can be dynamically updated during driving as new observations become available. The objective is to improve the accuracy and robustness of remaining-energy and arrival battery-level estimation while maintaining interpretability and practical deploy ability.

Key focus areas:

• Pre-trip EV energy consumption prediction
• Route- and context-aware energy modelling
• Dynamic / online remaining-energy prediction
• Integration of pre-trip estimates with observations during driving
• Prediction accuracy, robustness and interpretability

Your skills and background

• Suitable for Master's students in Computer Science, Data Science, Machine Learning, Automotive Engineering, Electrical Engineering, or related fields.
• Strong programming skills in Python and solid knowledge of machine learning are required.
• Experience with deep learning, time-series or sequential modelling, statistical modelling, and data-driven model evaluation is highly desirable.
• Familiarity with probabilistic modelling, online learning, or vehicle energy modelling is considered an advantage.

Why you should join Geely 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 Geely 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. Applicants may specify a preferred partner in their cover letter.

Supervisor: Yuchuan Dong, AI Engineer, yuchuan.dong1@zeekrtech.eu , please contact for more information about the project

Starting date: January 2027

Last application date: 2026-10-31

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.