Robust Vehicle Mass and Driving Resistance Estimation

被引：0

作者：

Altmannshofer, Simon ^{[1
]}

Endisch, Christian ^{[1
]}

机构：

[1] Tech Hsch Ingolstadt, Res Grp Elect Mobil & Learning Syst ELS, D-84950 Ingolstadt, Germany

来源：

2016 AMERICAN CONTROL CONFERENCE (ACC) | 2016年

关键词：

RECURSIVE LEAST-SQUARES;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A robust parameter estimation algorithm for vehicle mass and driving resistance is presented. The estimation scheme uses a vehicle longitudinal model and common vehicle sensor signals. In contrast to other driving resistance estimators the proposed robust formulation copes with typical real-world problems encountered in vehicle parameter estimation like measurement outliers and insufficient excitation in the input signals. The robust estimator shows good performance compared to existing estimators on real-world data with difficult characteristics.

引用

页码：6869 / 6874

页数：6

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