Battery control via adaptive modeling and predictive control
Research Project, 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 (contact)

Chalmers, Electrical Engineering, Systems and control

Torsten Wik

Chalmers, Electrical Engineering, Systems and control


Swedish Research Council (VR)

Project ID: 2019-04873
Funding Chalmers participation during 2020–2023

Related Areas of Advance and Infrastructure

Sustainable development

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