Téléchargez le livre : A Data-Driven Fleet Service: State of Health Forecasting of Lithium-Ion Batteries

A Data-Driven Fleet Service: State of Health Forecasting of Lithium-Ion Batteries



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Éditeur :

Springer Vieweg


Paru le : 2024-02-01



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Description

Given the limitations of state-of-the-art methods, this book presents a state of health (SOH) forecasting method that is suitable for lithium-ion battery (LIB) systems in real-world battery electric vehicle operation. Its histogram-based features can capture the higher operational variability compared to constant and controlled laboratory operation. Also, the transferability of a trained machine learning model to new LIB cell types and new operational domains is investigated. The presented SOH forecasting method can be provided as a cloud service via a web or smartphone app to fleet managers. Forecasting the SOH enables fleet managers of battery electric vehicle fleets to forecast and plan vehicle replacements.
Pages
227 pages
Collection
n.c
Parution
2024-02-01
Marque
Springer Vieweg
EAN papier
9783658431877
EAN PDF
9783658431884
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
22
Taille du fichier
6851 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
108,44 €
EAN EPUB
9783658431884
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
22
Taille du fichier
15411 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
108,44 €

Friedrich von Bülow studied mechanical engineering and automation engineering at RWTH Aachen University. He completed his doctoral thesis at the Institute for Technologies and Management of Digital Transformation (TMDT) at the University of Wuppertal (BUW) while working in the automotive industry as a data scientist with a special interest in the analysis of time series data and applications of machine learning.

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