Paper-Conference

Sequence Training and Data Shuffling to Enhance the Accuracy of Recurrent Neural Network Based Battery Voltage Models
Battery terminal voltage modelling is crucial for various applications, including electric vehicles, renewable energy systems, and …
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A Convolutional Neural Network for Estimation of Lithium-Ion Battery State-of-Health during Constant Current Operation
Accurate state-of-health (SOH) estimation is critical for lithium-ion batteries’ safe and reliable operation. These batteries are …
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Lithium-ion Battery State-of-Health Estimation via Histogram Data, Principal Component Analysis, and Machine Learning
Lithium-ion batteries are widely used in electric vehicle powertrain systems. As batteries age, their state of health (SOH), indicated …
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