revb_lis_estimators.zip (14.46 MB)

Kalman-variant estimators for state of charge in lithium-sulfur batteries

dataset

posted on 2021-08-27, 11:22 authored by Karsten Propp, Daniel AugerDaniel Auger, Abbas FotouhiAbbas Fotouhi, Stefano LongoStefano Longo, Vaclav KnapVaclav Knap

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.

Funding

EP L505286/1

Innovate UK: TS/L000903/1

History

Authoriser (e.g. PI/supervisor)

d.j.auger@cranfield.ac.uk

Usage metrics

Read the peer-reviewed publication

Kalman-variant estimators for state of charge in lithium-sulfur batteries

Transport Systems

Keywords

lithium-sulfur battery state of charge extended kalman filter unscented kalman filter particle filter Engineering not elsewhere classified

Licence

CC BY-NC-ND 4.0

Kalman-variant estimators for state of charge in lithium-sulfur batteries

Funding

EP L505286/1

Innovate UK: TS/L000903/1

History

Authoriser (e.g. PI/supervisor)

Usage metrics

Read the peer-reviewed publication

Categories

Keywords

Licence

Exports