Lithium-ion battery state of health estimation using a hybrid model based on a convolutional neural network and bidirectional gated recurrent unit

Mazzi, Yahia; Ben Sassi, Hicham; Errahimi, Fatima

doi:10.1016/j.engappai.2023.107199

Engineering Applications of Artificial Intelligence

2024

DOI: 10.1016/j.engappai.2023.107199

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Lithium-ion battery state of health estimation using a hybrid model based on a convolutional neural network and bidirectional gated recurrent unit

Yahia Mazzi,

Hicham Ben Sassi,

Fatima Errahimi

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Cited by 20 publications

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Lithium-ion battery state of health estimation using a hybrid model based on a convolutional neural network and bidirectional gated recurrent unit

Cited by 20 publications

References 63 publications

Robust state of health estimation of commercial lithium-ion batteries based on enhanced hybrid machine learning model for electrified transportation

Robust state of health estimation of commercial lithium-ion batteries based on enhanced hybrid machine learning model for electrified transportation

Proposing an innovative model for solar irradiance and wind speed forecasting

Adaptable capacity estimation of lithium-ion battery based on short-duration random constant-current charging voltages and convolutional neural networks

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