Batteristyrning via adaptiv modellering och prediktiv reglering
Forskningsprojekt, 2020 – 2023

There will be a tremendous shift in road transport from fossil to electric, in which the availability of capable batteries is a major issue. In the absence of physical limits, existing battery systems are inappropriately designed and prematurely aged. This project aims to conduct fundamental and multidisciplinary research and advance battery management technology for optimal use. To enable online manipulation of internal battery electrochemical states, this project will develop novel battery models, state observers, and control algorithms. 


Changfu Zou (kontakt)

Chalmers, Elektroteknik, System- och reglerteknik

Torsten Wik

Chalmers, Elektroteknik, System- och reglerteknik


Vetenskapsrådet (VR)

Projekt-id: 2019-04873
Finansierar Chalmers deltagande under 2020–2023

Relaterade styrkeområden och infrastruktur

Hållbar utveckling



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