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Mostrati risultati da 1 a 5 di 5
HDL Code Generation from SIMULINK Environment for Li-Ion Cells State of Charge and Parameter Estimation
2021-01-01 Stighezza, Mattia; Bianchi, Valentina; De Munari, Ilaria
FPGA Implementation of an Ant Colony Optimization Based SVM Algorithm for State of Charge Estimation in Li-Ion Batteries
2021-01-01 Stighezza, Mattia; Bianchi, Valentina; DE MUNARI, Ilaria
A flexible machine learning based framework for state of charge evaluation
2022-01-01 Stighezza, M.; Bianchi, V.; Toscani, A.; De Munari, I.
Machine learning and impedance spectroscopy for battery state of charge evaluation
2023-01-01 Stighezza, M.; Ferrero, R.; Bianchi, V.; De Munari, I.
An Improved Method Based on Support Vector Regression with Application Independent Training for State of Charge Estimation
2023-01-01 Bianchi, V.; Stighezza, M.; Toscani, A.; Chiorboli, G.; De Munari, I.
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
HDL Code Generation from SIMULINK Environment for Li-Ion Cells State of Charge and Parameter Estimation | 1-gen-2021 | Stighezza, Mattia; Bianchi, Valentina; De Munari, Ilaria | |
FPGA Implementation of an Ant Colony Optimization Based SVM Algorithm for State of Charge Estimation in Li-Ion Batteries | 1-gen-2021 | Stighezza, Mattia; Bianchi, Valentina; DE MUNARI, Ilaria | |
A flexible machine learning based framework for state of charge evaluation | 1-gen-2022 | Stighezza, M.; Bianchi, V.; Toscani, A.; De Munari, I. | |
Machine learning and impedance spectroscopy for battery state of charge evaluation | 1-gen-2023 | Stighezza, M.; Ferrero, R.; Bianchi, V.; De Munari, I. | |
An Improved Method Based on Support Vector Regression with Application Independent Training for State of Charge Estimation | 1-gen-2023 | Bianchi, V.; Stighezza, M.; Toscani, A.; Chiorboli, G.; De Munari, I. |
Mostrati risultati da 1 a 5 di 5
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