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2022 | OriginalPaper | Buchkapitel

Field Data Analysis of a Commercial Vehicle Fleet in Relation to the Load of the HV Battery

verfasst von : Kerstin Hadler, Jens Michalski, Christoph Schuler, Jörg Kleemann, Bernard Bäker

Erschienen in: 22. Internationales Stuttgarter Symposium

Verlag: Springer Fachmedien Wiesbaden

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Abstract

In the course of the accelerated transformation towards regenerative energies, electric mobility is increasingly gaining importance. A central aspect in the development of electrically powered vehicles is the design of the traction battery. In this context, the specification of the possible loads on this component is essential in order to calculate the associated load capacity and thus determine the resulting lifetime.

For this purpose, a customer-oriented field study was carried out with 100 commercially used battery-electric transport vehicles from various companies in the courier, express and parcel service sector, ride sharing and vehicle rental over a period of one year. By installing telemetry devices, time-series of battery and vehicle states during operation were recorded in addition to diagnostic data. This provides new insights into the commercial use of battery electric transport vehicles and supports the determination of loads on the battery system in real operation.

The aim of this research is to develop a method for qualitative evaluation with regard to battery load based on field data. Within the scope of this publication, the general approach of the method as well as first analysis results of battery operating conditions and vehicle usage are presented.

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Vorheriges Kapitel Automated Optimization of a Cell Assembly Using Format-Flexibly Produced Pouch Cells

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Titel: Field Data Analysis of a Commercial Vehicle Fleet in Relation to the Load of the HV Battery
verfasst von: Kerstin Hadler
Jens Michalski
Christoph Schuler
Jörg Kleemann
Bernard Bäker
Verlag: Springer Fachmedien Wiesbaden
Buch: 22. Internationales Stuttgarter Symposium
Print ISBN: 978-3-658-37008-4

Electronic ISBN: 978-3-658-37009-1

Copyright-Jahr: 2022
DOI: https://doi.org/10.1007/978-3-658-37009-1_41

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