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Document type:
Zeitschriftenaufsatz 
Author(s):
Danquah, Benedikt; Riedmaier, Stefan; Meral, Yasin; Lienkamp, Markus 
Title:
Statistical Validation Framework for Automotive Vehicle Simulations Using Uncertainty Learning 
Abstract:
The modelling and simulation process in the automotive domain is transforming. Increasing system complexity and variant diversity, especially in new electric powertrain systems, lead to complex, modular simulations that depend on virtual vehicle development, testing and approval. Consequently, the emerging key requirements for automotive validation involve a precise reliability quantification across a large application domain. Validation is unable to meet these requirements because its results p...    »
 
Keywords:
FTM Fahrzeugkonzepte 
Journal title:
Applied Sciences 
Year:
2021 
Journal volume:
11 
Journal issue:
Covered by:
Scopus 
Fulltext / DOI:
Print-ISSN:
2076-3417 
TUM Institution:
Lehrstuhl für Fahrzeugtechnik