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...

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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
Published: Saratov State University 2021-06-01
Series:Электрохимическая энергетика
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