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Enhanced Derivation of Customer-Specific Drive System Design Parameters with Time Frame-Based Maximum Load Analysis

Mieth, Raphael 1; Markschies, Fabian; Zhou, Ruixin; Gauterin, Frank ORCID iD icon 1; Stephan, Arnd
1 Institut für Fahrzeugsystemtechnik (FAST), Karlsruher Institut für Technologie (KIT)

Abstract:

Only a small part of the high performance of electric drive systems in vehicles is used in everyday operation by customers. As a result, most drives are not operated in the optimum efficiency range. Designing a suitable drive system, whose performance is aligned with actual customer requirements, presents the potential to increase efficiency. Based on the findings of previous research, this paper serves to complement an existing method, which already introduced the basic method of transferring statistical customer data into relevant parameters for the design of a customer-specific drive system. In order to improve the method, further criteria for the selection of relevant time series come into place. Furthermore, the impact on maximum loads resulting from various sequences of the selected time series is identified and evaluated with time frame-based analysis. A new approach for the effective computation of maximum design-relevant loads in the admissible time frame range is introduced and validated. By taking this approach, the sensitivity of the derived design parameters regarding various time series sequence is evaluated in the context of selected datasets. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000156986
Veröffentlicht am 16.03.2023
Originalveröffentlichung
DOI: 10.3390/vehicles5010017
Scopus
Zitationen: 1
Dimensions
Zitationen: 1
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Fahrzeugsystemtechnik (FAST)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2023
Sprache Englisch
Identifikator ISSN: 2624-8921
KITopen-ID: 1000156986
Erschienen in Vehicles
Verlag Multidisciplinary Digital Publishing Institute (MDPI AG)
Band 5
Heft 1
Seiten 306–320
Bemerkung zur Veröffentlichung Gefördert durch den KIT-Publikationsfonds
Vorab online veröffentlicht am 24.02.2023
Schlagwörter design of vehicle drive systems; analysis of customer data; sequence of time series
Nachgewiesen in Scopus
Dimensions
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