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01-09-2023 | Article

Transfer Learning from Lab to Fleet Data - Battery Life Prediction and Optimal Use in the Battery Management System

Authors: Alexander Palmisano, Milan Živadinović, Gerhard Schagerl, Christian Rupert Rehrl

Published in: ATZextra worldwide | Special Issue 1/2023

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Excerpt

To use batteries in the best possible way in terms of sustainability, low overall usage and warranty costs for vehicle drive, it is not only important to know their current state of health, but also to draw conclusions about their service life. A comprehensive basis of battery and fleet data and its analysis using advanced learning methods enable valid predictions to be made and and optimization strategies for battery use to be found. AVL pursues these approaches as part of its comprehensive battery life cycle management. …

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Metadata
Title
Transfer Learning from Lab to Fleet Data - Battery Life Prediction and Optimal Use in the Battery Management System
Authors
Alexander Palmisano
Milan Živadinović
Gerhard Schagerl
Christian Rupert Rehrl
Publication date
01-09-2023
Publisher
Springer Fachmedien Wiesbaden
Published in
ATZextra worldwide / Issue Special Issue 1/2023
Print ISSN: 2195-1470
Electronic ISSN: 2195-1489
DOI
https://doi.org/10.1007/s40111-023-0903-y

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