Automotive Digital Twins: A Traversal Algorithm for Virtual Testing of Software over-the-air Updates

被引：1
|
作者：
Fuchs, Till [1 ]
Zinser, Matthias [2 ]
Renatus, Kevin [3 ]
Baeker, Bernard [3 ]
机构：
[1] Dr Ing hcF Porsche AG, Dev Verificat & Validat Integrat Management & Ele, Weissach, Germany
[2] Dr Ing hcF Porsche AG, Dev Entire Vehicle Elect Elect Architecture & Inf, Weissach, Germany
[3] Tech Univ Dresden, Chair Vehicle Mechatron, Dresden, Germany
来源：
2023 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS, ICM | 2023年
关键词：
Digital Twin; Over-the-Air; Software Updates; Traversal Algorithm; Virtual Testing;
D O I：
10.1109/ICM54990.2023.10102057
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The CASE (Connected, Automated, Services, Electrification) trends are shaping the automotive industry, leading to new disruptive innovations and challenges. Besides level 4/5 automated driving or shared mobility, one major factor for the success of CASE are software over-the-air (SOTA) updates. Even though map updates are common, feature updates throughout the vehicle's life cycle are not yet. This results partially from non-existent virtual respectively hardware free test methods as well as environments for SOTA updates. Therefore, this paper presents a digital twin concept for virtual testing of software updates for mechatronic systems. Firstly, it allows to set up and load Software-in-the-Loop (SiL) test environments including individual vehicle configurations. Secondly, a graph based weighting algorithm enables the use of operational vehicle field data in combination with behaviour-based data from virtual test environments in order to enrich the test quality. Lastly, a traversal algorithm can detect the functions control flow and propagate test cases alongside it.
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收藏
页数：6
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