10.17862/cranfield.rd.6887432.v1
Daniel Auger
Daniel
Auger
Karsten Propp
Karsten
Propp
Abbas Fotouhi
Abbas
Fotouhi
Monica Marinescu
Monica
Marinescu
Vaclav Knap
Vaclav
Knap
Stefano Longo
Stefano
Longo
MATLAB and Simulink Models for 'Improved State of Charge Estimation for Lithium-Sulfur Batteries'
Cranfield Online Research Data (CORD)
2018
lithium-sulfur battery
state of charge estimation
extended Kalman filter
online parameterzation
equivalent circuit network model
Electrochemistry
Energy Generation, Conversion and Storage Engineering
Automotive Engineering not elsewhere classified
2018-08-02 08:21:39
Dataset
https://cord.cranfield.ac.uk/articles/dataset/MATLAB_and_Simulink_Models_for_Improved_State_of_Charge_Estimation_for_Lithium-Sulfur_Batteries_/6887432
This fileset consists of Simulink models of a state estimator for lithium-sulfur batteries, as described in a research paper that has been submitted for publication.