PSI - Issue 38

Available online at www.sciencedirect.com Available online at www.sciencedirect.com ScienceDirect Structural Integrity Procedia 00 (2021) 000 – 000

www.elsevier.com/locate/procedia

ScienceDirect

Procedia Structural Integrity 38 (2022) 352–361

© 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the Fatigue Design 2021 Organizers This article presents a new type of driver guidance system which, depending on the loads already endured, indicates the test driver the optimal driving instructions to reach a customer-oriented load target. The route calculation is dynamically adapted according to the actually generated and measured loads. For this purpose, the system accesses the relevant in-vehicle sensor data and combines it with road segments of a digital map. In this way, a database of the loads which were achieved on each road segment, is filled. This information is used as input of a heuristic algorithm which determines the best combination of road segments ahead for reaching the load target. As the load database is updated with every road segment driven on during the test, a learning process takes place that continuously adapts the route determination to driving style and changed road conditions. Thus, by monitoring the measured loads and by using the artificial intelligence of the driver guidance system, the customer-oriented load target of the durability road test is optimally achieved resulting in a high testing quality. © 2021 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the Fatigue Design 2021 Organizers Keywords: durability testing ; test driver guidance ; customer-focussed testing ; load monitoring ; optimized vehicle component dimensioning FATIGUE DESIGN 2021, 9th Edition of the International Conference on Fatigue Design Optimized Vehicle Durability Testing by Means of an Intelligent Test Driver Guidance System M. Sc. Florian Grober a, *, Dr.-Ing. Andreas Janßen a , Prof. Dr.-Ing. Ferit Küçükay b a Volkswagen AG, Brieffach 011/17120, 38436 Wolfsburg, Germany b Technische Universität Braunschweig, Institute of Automotive Engineering, Hans-Sommer-Straße 4, 38106 Braunschweig, Germany Abstract Vehicle manufacturers use special test courses which must be endured damage-free by the vehicle prototype until a compulsory mileage is reached. The driving instructions of this durability road test cannot always be implemented in a reproducible manner, for example due to the influence of driver, weather conditions or route closures. Furthermore, a test course based on many years of experience can only be slowly adapted to new trends in customer usage behavior.

* Corresponding author. E-mail address: florian.grober@volkswagen.de

2452-3216 © 2021 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the Fatigue Design 2021 Organizers

2452-3216 © 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the Fatigue Design 2021 Organizers 10.1016/j.prostr.2022.03.036