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Internship | Multiprocessors Scheduling and Electric Vehicle Fleet Scheduling

Posted 28 Sep 2021

Work experience

0 to 1 years

Full-time / part-time

Full-time

Job function

Engineering

Degree level

Bachelor

Required language

English (Fluent)

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Internship | Multiprocessors Scheduling and Electric Vehicle Fleet Scheduling

Helmond

Fulltime


WHAT WILL BE YOUR ROLE?

The purpose of this internship is to explore the possibility of applying multi-processors scheduling tools/solutions/methods to the problem of scheduling a fleet of Electric Vehicles (EV) to their charging times/stations. EV are increasingly becoming a viable solution to the problem of vehicle emissions in cities. However, operators of EV fleets face challenges during their daily operation, due to limitations on available charging stations and charging power. Developing algorithmic solutions capable of solving this problem in a ‘reasonable’ amount of time is crucial for a faster implementation of EV in fleet-level applications.


In Embedded Systems (ES), it is nowadays common to encounter systems with parallel processing capabilities, where the processing resources have different processing clock frequencies (heterogeneous multi-core systems). One of the common challenges in this domain is to schedule such processing resources to running computational tasks, in such a way that deadlines are met.

In Automotive Systems (AS), with the ongoing improvements on Electric Vehicles (EV), fleets of only-electric vehicles are becoming a possibility for companies with a large number of vehicles, such as delivery companies. During a normal operation day, vehicles return (at variable times a day) to the depot to pick up new products and get charged, if needed. Therefore, the depot is equipped with a set of chargers, which are available at different charging speeds (i.e., heterogeneous charging powers).

However, due to limitations in cost and available power in the grid connection, depots normally have significantly fewer available chargers than electric vehicles in the fleet. The charger usage needs to be scheduled throughout the day, such that timing deadlines (i.e., a minimum charge before the start of a delivery route) are met.


There are similarities in the aforementioned ES challenge and the AS challenge: variable tasks (running applications in ES and charging events in AS need to be assigned to limited resources (heterogeneous processing resources and heterogeneous charging powers) such that time constraints (applications deadlines and charge deadlines at start of drive cycle) are met.


In this internship, you will analyse the similarities between both problems and explore the possibility of applying known multi-processors scheduling tools to the mentioned automotive problem. Your concrete tasks are as follows:

  • Research into existing scheduling solutions and tools
  • Formulate / formalize the problem
  • Algorithm implementation
  • Report writing
  • Presentation
 HOW DO YOU WANT TO CONTRIBUTE TO TOMORROW'S WORLD? HOW BIG CAN YOUR IMPACT BE? COME AND WORK AT TNO AND ENVISION IT. 

WHAT WE EXPECT FROM YOU

  • You have a bachelor’s degree in a relevant field, for example, electrical engineering, computer science, etc.
  • You are pursuing a master degree in embedded systems. Additionally, you have had courses or some experience related to multiprocessors scheduling tools.
  • 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.


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Innovation with purpose: that is what TNO stands for. We develop knowledge not for its own sake, but for practical application.
TNO connects people and knowledge to create innovations that boost the competitive strength of industry and the well-being of society in a sustainable way.
Do you want to do ground-breaking work in multidisciplinary projects, seek out new knowledge? Do you want...


Innovation with purpose: that is what TNO stands for. We develop knowledge not for its own sake, but for practical application.

TNO connects people and knowledge to create innovations that boost the competitive strength of industry and the well-being of society in a sustainable way.

Do you want to do ground-breaking work in multidisciplinary projects, seek out new knowledge? Do you want to help customers with innovative, practical and smart solutions? Are you ambitious and energetic, a thinker and a doer? Then check out our possibilities.

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Den Haag
3,300 employees

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