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Project Description: 

The increasing adoption of Electric Vehicles (xEVs) presents a unique opportunity to utilize their large, mobile battery packs as flexible energy resources. This concept has the potential to support the electrical grid, stabilize energy supply in buildings, and act as energy reservoir in the household. To make this concept interesting for the xEV owner it needs to optimize the cost of charging in combination with income from the services and in the end, potentially generate revenue for the xEV owner. The market for these kinds of solutions grows rapidly, the alternative that is missing is the user-centric option where the vehicle aids the user in decision making, causing it to be complexity neutral and offers only advantages.

This thesis focuses on developing a comprehensive optimization model that not only maximizes the financial return from various EV-based energy services but also respects the primary requirement of the user, having a charged vehicle when they need it. To utilize the vehicle, it needs to be connected to a charger, this will need a change in behavior for many users when reaching the parking position. Now it will be meaningful to be connected even if you as a user do not consider you need to charge the car.

The core challenge is integrating complex grid service optimization (financial component) with user-centric functionality (to understand why and when to connect) and the physical limitations of the battery (degradation). In combination with this there is the possibility to utilize these services at different locations. 

This thesis is related to the Swedish Electromobility Center project “Dansmästaren” that will contribute with information and guidance.

Relevant energy services to consider, simplified description:

1. Charging: Charge the vehicle to a defined SOC
2. Peak shaving: Make sure that the demand for power stays below a power limit (static or flexible)
3. Energy trading: Store energy in the vehicle to deliver to the grid, house or building.
4. Balancing services: Deliver power on request.

The vehicle has operational modes classified as:

1. V1G: The vehicle can be used for charging only
2. V2X: The vehicle can charge/discharge to/from
   1. the Grid
   2. the House
   3. the Building

Research Questions

• Which combination of EV energy services and operational modes at the different locations provides the highest net revenue for the user? 
• How can an optimization model be designed to consistently meet the user’s primary requirement while simultaneously maximizing revenue from the available services? 
• What information is needed to share in the V2X scenarios to make it work?
• Will it be beneficial to optimize the household energy consumption from the vehicle and what information is needed to make that optimization work? 
• How can the user be convinced that the vehicle will handle charging and services in an economically beneficial way that fulfill your needs even though SOC may vary?

Expected Outcome and Contribution

The primary deliverable will be a functional optimization model capable of handling different EV energy services.

1. A model that simultaneously maximizes revenue and minimizes long-term cost
2. Identifying which operational mode offers the best combination of revenue and convenience for distinct user profiles
3. Intuitive UI concept to build user trust and acceptance of automated V2G/V2H decisions

Key focus areas: V2X, Charging and Grid/Balancing services, Optimization and User interaction.

Your skills and background

• Ongoing MSc in Electro, Energy, Information technology, Data science or similar programs.

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: Niklas Legnedahl, Architect - Energy Management, niklas.legnedahl@zeekrtech.eu, please contact for more information about the project

Starting date: January 2026

Last application date: 2025-11-06

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.