Data Preparation and Training Methodology for Modeling Lithium-Ion Batteries Using a Long Short-Term Memory Neural Network for Mild-Hybrid Vehicle Applications

Data Preparation and Training Methodology for Modeling Lithium-Ion Batteries Using a Long Short-Term Memory Neural Network for Mild-Hybrid Vehicle Applications

Voltage models of lithium-ion batteries (LIB) are used to estimate their future voltages, based on the assumption of a specific current profile, in order to ensure that the LIB remains in a safe operation mode. Data of measurable physical features—current, voltage and temperature—are processed using...

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Bibliographic Details
Main Authors: Daniel Jerouschek, Ömer Tan, Ralph Kennel, Ahmet Taskiran
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Applied Sciences
Subjects:
lithium-ion battery (LIB)
long short-term memories (LSTM)
machine learning (ML)
modeling
recurrent neural net (RNN)
Online Access:https://www.mdpi.com/2076-3417/10/21/7880

Internet

https://www.mdpi.com/2076-3417/10/21/7880

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