Robust and Numerically Efficient Estimation of Vehicle Mass and Road Grade

Paul Karoshi, Markus Ager, Martin Schabauer, Cornelia Lex

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandForschungBegutachtung

Abstract

A recursive least squares (RLS) based observer for simultaneous estimation of vehicle mass and road grade, using longitudinal vehicle dynamics, is presented. In order to achieve robustness to unknown disturbances and varying parameters, depth is chosen in a sufficient way. This is done with a sensitivity analysis, identifying parameters with significant influence on the estimation result. The identification of vehicle parameters is presented in detail. The method is validated with an All-Electric Vehicle (AEV) using natural driving cycles. The results show little deviation between estimation and reference, as well as good convergence in urban areas, providing sufficient excitation. However, on highway roads, environmental influences like wind and slipstream of trucks, worsen the results, especially in combination with little excitation for the observer.
Originalspracheenglisch
TitelAdvanced Microsystems for Automotive Applications 2017
UntertitelSmart Systems Transforming the Automobile
Redakteure/-innenCarolin Zachäus, Beate Müller, Gereon Meyer
Herausgeber (Verlag)Springer Verlag
Seiten87-100
Seitenumfang14
Auflage1
ISBN (elektronisch)978-3-319-66972-4
ISBN (Print)978-3-319-66971-7
DOIs
PublikationsstatusVeröffentlicht - 31 Aug 2017
VeranstaltungAdvanced Microsystems for Automotive Applications - Berlin, Deutschland
Dauer: 25 Sep 201726 Sep 2017

Publikationsreihe

NameLecture Notes in Mobility
Herausgeber (Verlag)Springer
ISSN (Print)2196-5544
ISSN (elektronisch)2196-5552

Konferenz

KonferenzAdvanced Microsystems for Automotive Applications
KurztitelAMAA
LandDeutschland
OrtBerlin
Zeitraum25/09/1726/09/17

Fingerprint

Trucks
Sensitivity analysis
Battery electric vehicles

Schlagwörter

  • Mass estimation
  • Road grade estimation
  • Vehicle state estimation
  • Recursive least squares with forgetting

ASJC Scopus subject areas

  • Fahrzeugbau
  • !!Control and Optimization

Fields of Expertise

  • Mobility & Production

Treatment code (Nähere Zuordnung)

  • Theoretical
  • Experimental
  • Application

Dies zitieren

Karoshi, P., Ager, M., Schabauer, M., & Lex, C. (2017). Robust and Numerically Efficient Estimation of Vehicle Mass and Road Grade. in C. Zachäus, B. Müller, & G. Meyer (Hrsg.), Advanced Microsystems for Automotive Applications 2017: Smart Systems Transforming the Automobile (1 Aufl., S. 87-100). (Lecture Notes in Mobility). Springer Verlag. https://doi.org/10.1007/978-3-319-66972-4_8

Robust and Numerically Efficient Estimation of Vehicle Mass and Road Grade. / Karoshi, Paul; Ager, Markus; Schabauer, Martin; Lex, Cornelia.

Advanced Microsystems for Automotive Applications 2017: Smart Systems Transforming the Automobile. Hrsg. / Carolin Zachäus; Beate Müller; Gereon Meyer. 1. Aufl. Springer Verlag, 2017. S. 87-100 (Lecture Notes in Mobility).

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandForschungBegutachtung

Karoshi, P, Ager, M, Schabauer, M & Lex, C 2017, Robust and Numerically Efficient Estimation of Vehicle Mass and Road Grade. in C Zachäus, B Müller & G Meyer (Hrsg.), Advanced Microsystems for Automotive Applications 2017: Smart Systems Transforming the Automobile. 1 Aufl., Lecture Notes in Mobility, Springer Verlag, S. 87-100, Advanced Microsystems for Automotive Applications, Berlin, Deutschland, 25/09/17. https://doi.org/10.1007/978-3-319-66972-4_8
Karoshi P, Ager M, Schabauer M, Lex C. Robust and Numerically Efficient Estimation of Vehicle Mass and Road Grade. in Zachäus C, Müller B, Meyer G, Hrsg., Advanced Microsystems for Automotive Applications 2017: Smart Systems Transforming the Automobile. 1 Aufl. Springer Verlag. 2017. S. 87-100. (Lecture Notes in Mobility). https://doi.org/10.1007/978-3-319-66972-4_8
Karoshi, Paul ; Ager, Markus ; Schabauer, Martin ; Lex, Cornelia. / Robust and Numerically Efficient Estimation of Vehicle Mass and Road Grade. Advanced Microsystems for Automotive Applications 2017: Smart Systems Transforming the Automobile. Hrsg. / Carolin Zachäus ; Beate Müller ; Gereon Meyer. 1. Aufl. Springer Verlag, 2017. S. 87-100 (Lecture Notes in Mobility).
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