Title
Battery pack state estimation algorithms – Model based development and estimation
Author
Rosca, B.
Wilkins, S.
Hoedemaekers, E.
Publication year
2018
Abstract
Model based development methodologies have strong potential in reducing development effort of complex automotive systems. This paper presents a model based development methodology used to develop battery state estimation algorithms, and steps through all the steps required for this. The benefits of the mixed simulation and testing methodology are outlined using a State of Charge estimation algorithm development example. Overall, this development methodology leads to safer, more efficient and more affordable battery packs, enabling faster market update of electric vehicles.
Subject
Li-ion battery
Model based development
Model based state estimation
SoC
State estimation
To reference this document use:
http://resolver.tudelft.nl/uuid:60953c33-ca31-44bf-8ba3-26c1439ef060
TNO identifier
869628
Publisher
Society of Automotive Engineers of Japan Inc
ISBN
9781510891579
Source
31st International Electric Vehicle Symposium and Exhibition, EVS 2018 and International Electric Vehicle Technology Conference 2018, EVTeC 2018, 30 September 2018 through 3 October 2018, vol. 3, 1587-1592
Document type
conference paper