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.