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Control in Technology and Process Control
Determining the architecture of a neural network in the problem of estimating the state of the battery charge
I. A. Yakovlev, A. V. Elizarova, G. A. Saitova Ufa State Aviation Technical University, Ufa
Abstract:
The problem of estimating the state of charge of the battery, based on neural networks, is considered. Two types of recurrent nonlinear autoregressive neural networks were investigated in the problem of estimating the state of charge of a battery during its use. The main criterion for the quality of forecasting was the mean square error. According to the results of the study, the optimal structure of the neural network was chosen.
Keywords:
chemical current source, neural network modeling, lithium-ion battery, battery discharge level prediction.
Received: August 11, 2022 Published: January 31, 2023
Citation:
I. A. Yakovlev, A. V. Elizarova, G. A. Saitova, “Determining the architecture of a neural network in the problem of estimating the state of the battery charge”, UBS, 101 (2023), 97–122
Linking options:
https://www.mathnet.ru/eng/ubs1140 https://www.mathnet.ru/eng/ubs/v101/p97
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Abstract page: | 41 | Full-text PDF : | 8 | References: | 11 |
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