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A Framework for Credibility Assessment of a Powertrain Model in Driving Simulator Studies
Statens väg- och transportforskningsinstitut, Trafik och trafikant,TRAF, Fordonsteknik och simulering, FTS.
Statens väg- och transportforskningsinstitut, Trafik och trafikant,TRAF, Fordonsteknik och simulering, FTS.
2016 (Engelska)Ingår i: Proceedings of the 36th FISITA World Automotive Congress, 2016Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

When performing a driving simulator study, validity of the vehicle model for the intended driving task is of key importance; otherwise, the reliability of the study results might be jeopardized. In this paper a framework for real-time credibility assessment of the simulated longitudinal dynamics by a powertrain model in a moving base driving simulator is presented. The framework consists of the physical system model and a quality model which run in parallel in real time. The developed framework has been evaluated by offline simulations, as well as in real-time in a moving base driving simulator. The evaluation results showed that the developed framework can accurately capture the validity of the powertrain model in different driving conditions and provide the credibility level of the simulation results to the simulator operator in real-time.

Ort, förlag, år, upplaga, sidor
2016.
Nyckelord [en]
Simulator (driving), Model (not math), Reliability, Longitudinal, Dynamics, Evaluation (assessment)
Nationell ämneskategori
Farkostteknik Systemvetenskap, informationssystem och informatik
Forskningsämne
90 Road: Vehicles and vehicle technology, 91 Road: Vehicle design and construction
Identifikatorer
URN: urn:nbn:se:vti:diva-10971OAI: oai:DiVA.org:vti-10971DiVA: diva2:1024852
Konferens
The 36th FISITA World Automotive Congress
Tillgänglig från: 2016-10-04 Skapad: 2016-10-04 Senast uppdaterad: 2016-10-17Bibliografiskt granskad

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Andersson, AndersKharrazi, Sogol
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Fordonsteknik och simulering, FTS
FarkostteknikSystemvetenskap, informationssystem och informatik

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Totalt: 54 träffar
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