Important results from the project
The project´s objective was largely met. The primary goal was to analyze the use of battery electric trucks (BET) and charging infrastructure and to develop data-driven evidence for future investments – something that was achieved through extensive analysis of real-world vehicle data and the development of an optimization model for strategic charging station placement.
These results strengthen the conditions for an efficient and sustainable transformation of the freight transport system.
Expected long term effects
The project is expected to contribute to a more efficient and sustainable electrification of freight transport in the long term. Data-driven decision-making improves planning and investment in charging infrastructure. The methodology is scalable and can be used by more actors, which supports the industry´s transition and reduces climate impact. The project also strengthens cooperation between research and business.
Approach and implementation
The project was carried out in collaboration with two logistics companies and was based on extensive vehicle data collected between 2021 and 2024. The work was divided into 2 stages:
1. Analysis of real-world driving and charging patterns through a proprietary data pipeline.
2. Development of an optimization model for strategic placement of charging stations.
The approach enabled both current situation analysis and simulation of future scenarios, with broad application in the transport sector.
The project description has been provided by the project members themselves and the text has not been looked at by our editors.
