Machine learning based charging decision policy for electric fleet of

Background of thesis project
Suitable background
The thesis work will include various fields such as machine learning, simulation and optimization. Personal interest in programming is seen as benefit. The preferred language for coding is Java, but some other languages can be used if motivated.
Description of thesis work
Volvo Autonomous Solutions, VAS, is a newly created business unit in the Volvo group. The focus of VAS is autonomous vehicles running in confined areas, such as mines.
To make a fleet of autonomous vehicles cost effective they need to act as a team. The reason is that decision of a single vehicle will more or less affect the operation of other vehicles.
This thesis focus on decisions related to usage of charging service(s). Such a service offers a vehicle to be charged if it is willing to pay for the requested time and energy. A charging policy needs to balance the immediate charging cost to the more long term risk of energy depletion. In addition to the immediate charging cost there is also a risk that using the charging will block an aftercoming vehicle with higher need of charging.
This master thesis handles the following questions:
  1. What are the adequate input signals to a charging policy? An example signal is the state of charge of the vehicle needing a charge decision.
  2. How shall a site of electric autonomous vehicles be modelled?
  3. How can an optimal charging policy be generated?
Thesis Level: Master and/or Bachelor
Language: English
Starting date: Dec 2021-Jan 2022
Number of students: 1-2
Jonas, Dr., 0739-024761

The Volvo Group drives prosperity through transport solutions, offering trucks, buses, construction equipment, power solutions for marine and industrial applications, financing and services that increase our customers’ uptime and productivity. Founded in 1927, the Volvo Group is committed to shaping the future landscape of sustainable transport and infrastructure solutions. Countless career opportunities are offered across the group’s leading brands and entities that share a culture of Trust, Passion, High Performance, Change and Customer Success. 

Volvo Autonomous Solutions constitute a new business area as of January 1, 2020, entering new and exciting territories for Volvo Group. We accelerate the development, commercialization and sales of autonomous transport solutions, focusing on defined segments for the on- and off-road space. The combination of strong tech expertise and skilled customer solutions creates innovative transport offers never seen before. We are constantly pushing our own skills and ability to drive change in a traditional industry to meet a growing customer demand. We are now looking for innovative, committed individuals to join us in our endeavor to create customer solutions that enhance safety, flexibility and productivity.

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