Effektivare och skonsammare användning av litiumjonbatterier genom adaptiv modellering

The project aims to develop models and algorithms designed for deployment in vehicles, and through, inter alia, the use of control strategies with dynamic instead of static limits can contribute to increased battery life-time as well as that a larger part of the battery capacity can be used. The developed methodology will be validated experimentally in cells aged in vehicles. The Energy Agency considers that the project has significant potential to produce results with high industrial relevance, and can contribute to resource-efficient use of batteries.


Torsten Wik (contact)

Biträdande professor at Signals and Systems, Automatic Control

Anton Klintberg

Doktorand at Signals and Systems, Automatic Control


Volvo Cars

Göteborg, Sweden


Swedish Energy Agency

Funding years 2017–2020

Related Areas of Advance and Infrastructure


Area of Advance


Area of Advance

Sustainable Development

Chalmers Driving Force

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