Internship | Predictive control strategies for modular energy management in EV applications

The adoption of (PH)EVs in the automotive sector, as a means to reduce CO2 emissions and transition towards more sustainable solutions, has given rise to new challenges in vehicle energy management. Various vehicle types such as passenger cars, buses, and refrigerated trucks offer distinct optimization possibilities, critical for accurately sizing the vehicle's battery – often the most costly and heaviest component. Furthermore, knowledge of the vehicle's surroundings can significantly enhance optimization opportunities and provide valuable insights into energy management. To address these diverse scenarios effectively, a modular and low-complexity framework must be developed, enabling real-time decision-making.

The objective of this assignment is to develop a Modular Energy Management Strategy for Plug-in Hybrid Electric Vehicles (PHEVs) that incorporates predictive functionality by utilizing forthcoming information from the external environment. This information may include anticipated traffic patterns, speed limits, weather forecasts, and more. The Modular Energy Management Strategy entails an algorithm designed to optimize power flows efficiently. Its modularity lies in providing flexibility regarding the number of electric components (powertrain, auxiliaries) involved in the optimization process. For example, the weather forecast might influence the vehicle's cabin temperature control, leading to energy savings while ensuring passengers' comfort is maintained.

Assignment tasks:

• Literature survey on modular energy management;
• Update an existing modelling framework to account for predictive functionality;
• Develop a predictive optimization algorithm that can be integrated into an existing Modular Energy Management Strategy;
• Reporting and presentation to group level.

You will be joining an international scientist team, with several experts in energy management, control systems, and automotive technology. The team is currently involved in several projects in an European scale and national scale, which originates the scope of this assignment. Therefore, the results of this research can have a direct impact in the partners involved in these projects. The team is located in the Automotive Campus in Helmond, where additional to the offices, there is a large powertrains test centre where vehicle-related innovations are being developed and tested.

• You have a bachelor’s degree in a relevant field, for example automotive engineering, systems and control, electrical engineering;
• You are coursing a master in a relevant field, for example automotive engineering, systems and control, electrical engineering;
• Knowledge in Matlab/Simulink;
• Knowledge in Model Predictive Control (MPC) is desirable;
• You enjoy developing innovative solutions to technically challenging problems and have the right mix of intellectual curiosity and pragmatism.

You want to work on the precursor of your career; a work placement gives you an opportunity to take a good look at your prospective future employer. TNO goes a step further. It’s not just looking that interests us; you and your knowledge are essential to our innovation. That’s why we attach a great deal of value to your personal and professional development. You will, of course, be properly supervised during your work placement and be given the scope for you to get the best out of yourself. Naturally, we provide suitable work placement compensation.

At TNO, we innovate for a healthier, safer and more sustainable life. And for a strong economy. Since 1932, we have been making knowledge and technology available for the common good. We find each other in wonder and ingenuity. We are driven to push boundaries. There is all the space and support for your talent and ambition. You work with people who will challenge you: who inspire you and want to learn from you. Our state-of-the-art facilities are there to realize your vision. What you do at TNO matters: impact makes the difference. Because with every innovation you contribute to tomorrow’s world. Read more about TNO as an employer.

At TNO we encourage an inclusive work environment, where you can be yourself. Whatever your story and whatever unique qualities you bring to the table. It is by combining our unique strengths and perspectives that we are able to develop innovations that make a real difference in society. Want to know more? Read what steps we are taking in the area of diversity and inclusion.

After the first CV selection, the application process will be conducted by the concerning department. TNO will provide a suitable internship agreement. If you have any questions about this vacancy, you can contact the contact person mentioned below.

Students must reside in the Netherlands before the start and also throughout the internship or graduation project at TNO.