Parameter Identification for a multi-body vehicle model

被引：0

作者：

Traub, Lukas ^{[1
]}

Butakov, Vadim ^{[2
]}

Simpson, Robin ^{[2
]}

机构：

[1] Tech Univ Munich, Munich, Germany

[2] Volkswagen Grp Amer, Elect Res Lab ERL, Belmont, MA 94002 USA

来源：

2016 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV) | 2016年

关键词：

Multi-body vehicle model; Parameter Identification; Vehicle Dynamics; Sensitivity Analysis; Identifiability Analysis; Optimization; CarMaker; Autonomous Vehicle; Simulation;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Driving dynamics simulations are used in early stage autonomous vehicle algorithm development. For the utility of the simulation it is essential the vehicle model performs very similarly to the real-world car. A novel approach is introduced in this paper to identify parameters for a multi-body vehicle model from measurements of real world driving maneuvers. The approach does not need any prior knowledge of the model and is more time and cost-effective compared to the conventional method. Simulation results show the validity of the obtained model parameters.

引用

页码：521 / 526

页数：6

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