EENE: Energy Effective Navigation for EVs

Important results from the project

The purpose of the project has been to develop models, methods and algorithms for energy-efficient navigation of electric vehicles. The methods consider whether it is possible to reach an objective with the current amount of energy in the battery and direct the vehicle towards suitable charging stations if necessary. The methods are also computationally efficient and include adaptive exploration of the road network for energy data collection. The goals of the project have been met through cutting-edge research with associated method and prototype development.

Expected long term effects

The main result of the project is a finished industrial PhD student with approved licentiate and PhD theses, together with several scientific articles published in high-status international journals. In addition, the developed navigation methods have been implemented in a prototype of a computationally efficient navigation system integrated with a test vehicle. Some of the methods have also been made available in the form of open-source code. Overall, the project´s results have contributed to increased industrial competence in the navigation area.

Approach and implementation

The project was led by Volvo Cars and carried out in collaboration with Chalmers University of Technology. The main part of the project consisted of an industrial PhD student´s research, but the project also included model and software development, as well as validation using test vehicles in a rig. The research resulted in a number of scientific articles with methods that were later used in the project to develop prototype software, where parts of the methods were also made available as open-source code.

External links

Referensimplementation av adaptiv navigeringsalgoritm med tillhörande simuleringsramverk, som öppen källkod. Projektsida för EENE på Chalmers Research, med uppdaterad lista av publikationer relaterade till projektet.