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Summary & Details

A Virtual Sensing Approach for Vehicle Dynamic Performance Analysis Expanding Estimators Capabilities to Meet Vehicle Testing Requirements

Delivery: Available on this site

Format: PDF

Price: Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880

Publication code: 20215162

Paper/Info type: Proceedings (Spring)

No.37-21

Pages: 1-8(Total 8 p)

Date of publication: May 2021

Publisher: JSAE

Language: English

Event: 2021 JSAE Annual Congress (Spring)[Online Meeting]

Detailed Information

Author(E)	1) Ludovico Ruga, 2) Enrico Risaliti, 3) Simona Ottaiano, 4) Theo Geluk
Affiliation(E)	1) Siemens Digital Industries Software, 2) Siemens Digital Industries Software, 3) Siemens Digital Industries Software, 4) Siemens Digital Industries Software
Abstract(E)	AOEMs have an increasing pressure for accurate early stage target setting, which is driven by data from benchmark and predecessor vehicles, as well as subjective/objective relations. Vehicle dynamic estimators can provide a cost-effective solution for these engineering challenges. However, those model-based state estimators, typically employed for controls-oriented applications, do not meet the high demands in terms of required (transient) precision imposed by vehicle testing. This paper develops and demonstrates on an experimental vehicle setup an estimator for medium to low response levels and expansion of data from COG level to axle level allowing decomposition of the global vehicle dynamic behavior.

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