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

Till Fuchs, Matthias Zinser, K. Renatus, B. Bäker
{"title":"Automotive Digital Twins: A Traversal Algorithm for Virtual Testing of Software over-the-air Updates","authors":"Till Fuchs, Matthias Zinser, K. Renatus, B. Bäker","doi":"10.1109/ICM54990.2023.10102057","DOIUrl":null,"url":null,"abstract":"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 behaviourbased 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.","PeriodicalId":416176,"journal":{"name":"2023 IEEE International Conference on Mechatronics (ICM)","volume":"234 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE International Conference on Mechatronics (ICM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICM54990.2023.10102057","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

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 behaviourbased 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.
汽车数字孪生:一种用于软件无线更新虚拟测试的遍历算法
CASE(互联、自动化、服务、电气化)趋势正在塑造汽车行业,带来新的颠覆性创新和挑战。除了4/5级自动驾驶或共享出行之外,CASE成功的一个主要因素是软件无线更新(SOTA)。尽管地图更新很常见,但在整个车辆生命周期内的功能更新还不是很常见。这部分是由于不存在虚拟分别硬件自由测试方法以及SOTA更新环境。因此,本文提出了一种用于机电系统软件更新虚拟测试的数字孪生概念。首先,它允许设置和加载软件在环(SiL)测试环境,包括单个车辆配置。其次,基于图的加权算法能够将实际车辆现场数据与来自虚拟测试环境的基于行为的数据相结合,以丰富测试质量。最后,通过遍历算法检测函数控制流并传播测试用例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信