Affiliation:
1. Hochschule Aalen-Technik und Wirtschaft
2. Dr. Ing. h.c. F. Porsche AG
Abstract
<div class="section abstract"><div class="htmlview paragraph">The automotive industry is continuously evolving, demanding innovative approaches to enhance testing methodologies and preventively identify potential issues. This paper proposes an advanced test approach in the area of the overall vehicle system including the steering system and powertrain on a Road to Rig test bench. The research aims to revolutionize the conventional testing process by identifying faults at an early stage and eliminating the need to rely solely on field tests. The motivation behind this research is to optimize the test bench setup and bring it even closer to real field tests. Key highlights of the publication include the introduction of an expanded load spectrum, incorporating both steering angle and speed parameters along the test track. The load includes different route and driving profiles like on a freeway, overland and city drive in combination with the steering angles. Furthermore, for the first instance, specific driving manoeuvres, including slalom driving and autonomous parking, can now be simulated and tested. Also, there are critical driving scenarios like the standardized severe lane-change manoeuvre. This innovative approach not only refines the accuracy of steering simulations but also provides a comprehensive representation of real-world driving conditions. The paper also outlines the development and verification of a design specifically tailored for the test bench environment. This comprehensive approach ensures the reliability and applicability of the proposed steering simulation methodology. The integration of multibody simulations further enhances the study by elucidating the individual component loads.</div></div>
Reference27 articles.
1. 2019
2. Bauer , L. ,
Beck , P. ,
Stütz , L. , and
Kley , M.
Enhanced Efficiency Prediction of an Electrified Off-Highway Vehicle Transmission Utilizing Machine Learning Methods Procedia Computer Science 192 2021 417 426 10.1016/j.procs.2021.08.043
3. Düser , T.
X-in-the-Loop - ein durchgängiges Validierungsframework für die Fahrzeugentwicklung am Beispiel von Antriebsstrangfunktionen und Fahrerassistenzsystemen X-in-the-Loop - an Integrated Validation Framework for Vehicle Development Using Powertrain Functions and Driver Assistance Systems 10.5445/IR/1000020671
4. Eder , T.
Frontloading in der Antriebsstrangentwicklung. MTZ - Motortechnische Zeitschrift 76 9 2015 82 10.1007/s35146-015-0097-6
5. Paulweber , H.M.
Mess- und Prüfstandstechnik Wiesbaden Springer Fachmedien Wiesbaden 2014 10.1007/978-3-658-04453-4 978-3-658-04452-7