Simulation and estimation of lithium-sulfur battery charge state using fuzzy neural network

Simulation and estimation of lithium-sulfur battery charge state using fuzzy neural network

The possibility of determining the charge state of lithium-sulfur batteries using the ANFIS model was estimated. Easily measurable in practice physical quantities were used as input parameters of the model. They are the battery voltage, the rate of its change and the number of previous cycles. The a...

Full description

Bibliographic Details
Main Authors: Kolosnitsyn, Dmitry Vladimirovich, Savvina, Aleksandra Alekseevna, Khramtsova, Lyudmila Aleksandrovna, Kuz'mina, Elena Vladimirovna, Karaseva, Elena Vladimirovna, Kolosnitsyn, Vladimir Sergeevich
Format: Article
Language:English
Published: Saratov State University 2021-06-01
Series:Электрохимическая энергетика
Subjects:
modeling
neural networks
anfis
lithium-sulfur battery
lithium battery
lithium-ion battery
Online Access:https://energetica.sgu.ru/sites/default/files/electro202102-up-x3.pdf

Internet

https://energetica.sgu.ru/sites/default/files/electro202102-up-x3.pdf

Similar Items