Propp, KarstenAuger, DanielFotouhi, AbbasLongo, StefanoKnap, Vaclav2024-06-112024-06-112022-05-01Propp, Karsten; Auger, Daniel; Fotouhi, Abbas; Longo, Stefano; Knap, Vaclav (2021). Kalman-variant estimators for state of charge in lithium-sulfur batteries. Cranfield Online Research Data (CORD). Dataset. https://doi.org/10.17862/cranfield.rd.3834057https://dspace.lib.cranfield.ac.uk/handle/1826/22435This fileset is a set of MATLAB/Simulink R2016a models implementing state-of-charge estimators for lithium-sulfur batteries as described in the associated publications. The associated experimental data is also included. Instructions are included in a 'readme.txt' file in the root directory.This fileset is a set of MATLAB/Simulink R2016a models implementing state-of-charge estimators for lithium-sulfur batteries as described in the associated publications. The associated experimental data is also included. Instructions are included in a 'readme.txt' file in the root directory.CC BY-NC-ND 4.0https://creativecommons.org/licenses/by-nc-nd/4.0/lithium-sulfur battery''state of charge''extended kalman filter''unscented kalman filter''particle filter''Engineering not elsewhere classified'Dataset10.17862/cranfield.rd.3834057