Type dienstverband:
Internship and graduation project
Uren per week:
Fulltime – 40

Internship | Battery Remaining Useful Life Prediction

Want to contribute to a worthwhile sustainable solution? You can by dedicating your thesis to battery research! Help us, at the TNO Powertrains department, to implement ideas at the leading edge of science/engineering and make it a reality.

What will be your role?

During your thesis you will be estimating the remaining useful life of lithium ion batteries using a machine learning algorithm. The research revolves around studying the effects of real world imperfections in the data on the performance of the algorithm. Even though there is numerous sources in literature describing remaining useful life methods, few actually can cope with the imperfect nature of real world data. Your job is to manipulate an extensive battery ageing dataset to mimic real life imperfections and research the impact on the algorithms performance.

Your thesis will give a valuable contribution to TNO’s ambition to create a remaining useful life algorithm for batteries. Specifically by bringing the theory closer to practical implementation. A remaining useful life algorithm supplies battery owners with an estimate of how long their battery will last. Knowing how long the battery will last allows the owner to prove the resale value to a potential buyer, resulting in a lower battery cost over time and improves the chances batteries are reused in other applications prior to being scrapped/recycled.

Assignment tasks:

  • Use machine learning to create a battery remaining useful life estimation algorithm and determine the baseline performance.
  • Manipulate data and incrementally add realistic imperfections into the data to investigate the effect on algorithm performance.
  • Suggest methods to mitigate inaccuracy caused by the imperfections introduced.

What we expect from you

  • You have a bachelor’s degree in a relevant field, for example automotive engineering, systems and control, electrical engineering, computer science, data science.
  • You are coursing a master in a relevant field, for example automotive engineering, systems and control, electrical engineering, computer science, data science.
  • Knowledge of Matlab/Simulink
  • You enjoy developing innovative solutions to technically challenging problems and have the right mix of intellectual curiosity and pragmatism.

What you'll get in return

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.

TNO as an employer

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.

The selection process

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.

Has this job opening sparked your interest?

Then we’d like to hear from you! Please contact us for more information about the job or the selection process. To apply, please upload your CV and covering letter using the ‘apply now’ button.

A portrait of the TNO internship