Think green: Contribute to the future of electric vehicles

The amount of electric cars increasing rapidly, especially in Norway. Problems and questions started to arise and some of them are really important both for electric car owners and the nature. Some of issues, like battery utilization, need to be addressed on system-level. But some are solvable right now using modern data analysis and smart planning.
Master
  • If we can optimize electric car charging, use peaks of over-generated energy, maximize usage of green energy generated from renewable sources – we save nature.
  • If we can charge only needed amount of energy for the upcoming trips and, thus, prolong battery life – we save nature.
  • If we can analyze how crowds of drivers behave and where they go – we can put charging stations in the right place and attract more drivers into Eco-friendly cohort.
  • And, finally, with the modern dynamic power prices changing every minute we can simple save some money for house owners charging they cars optimally during night time.

Goal

The goal of the thesis is to produce (I) an algorithm that will be able to minimize charging costs and reduce environmental impact of charging electric vehicles, and (II) an algorithm to find the optimal location of public charging stations between city A and city B based on observation of charging needs from a fleet of cars.

Learning outcome

During the course of this master thesis, the candidate will gain in-depth knowledge in optimization problems, neural networks and machine learning for time series analysis. Also candidate will deal with real-world data use-cases.

Qualifications

Python programming, Knowledge about machine learning is an advantage

Supervisors

Konstantin Pogorelov