Couverture 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

Bülow, Friedrich von

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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. Forecasting the SOH enables fleet managers of battery electric vehicle fleets to forecast and plan vehicle replacements.

Détails

ISBN/GTIN978-3-658-43187-7

Type de produitLivre

ReliureLivre de poche

ÉditeurSpringer

Date de parution02.02.2024

Edition1st ed. 2024

SérieAutoUni ¿ Schriftenreihe

No. de série170

Pages227 pages

LangueAnglais

DimensionsLargeur 148 mm, Hauteur 210 mm, Épaisseur 15 mm

Poids341 g

Groupe de produitsTechnique

CatégorieMétal & machines

Plus de détails

Série

Reverse Engineering the Mind

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

Eco-Effectiveness of Modular Products and Fleets within the Automotive Industry

Unsupervised Pattern Discovery in Automotive Time Series

Limits and Opportunities of a Matrix Organization

Temperature-dependent Deformation and Fracture Behavior of a Talcum-filled Co-polymer

A Reliability-Aware Fusion Concept Toward Robust Ego-Lane Estimation Incorporating Multiple Sources

Planning Universal On-Road Driving Strategies for Automated Vehicles

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Auteur

Bülow, Friedrich von

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.