MATLAB and Simulink Models for 'Improved State of Charge Estimation for Lithium-Sulfur Batteries'
Date
2022-05-01 01:10
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Publisher
Cranfield University
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Citation
Auger, Daniel; Propp, Karsten; Fotouhi, Abbas; Marinescu, Monica; Knap, Vaclav; Longo, Stefano (2018). MATLAB and Simulink Models for 'Improved State of Charge Estimation for Lithium-Sulfur Batteries'. Cranfield Online Research Data (CORD). Dataset. https://doi.org/10.17862/cranfield.rd.6887432
Abstract
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.
Description
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Keywords
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'
Rights
CC BY-NC-ND 4.0