A New Generation Automotive Tool Access Architecture for Remote in-Field Diagnosis

Author:

Skvarc Bozic Gasper,Irigoyen Ceberio Ibai,Ernst Matthias,Mayer Albrecht

Abstract

<div class="section abstract"><div class="htmlview paragraph">Software complexity of vehicles is constantly growing especially with additional autonomous driving features being introduced. This increases the risk for bugs in the system, when the car is delivered. According to a car manufacturer, more than 90% of availability problems corresponding to Electronic Control Unit (ECU) functionality are either caused by software bugs or they can be resolved by applying software updates to overcome hardware issues. The main concern are sporadic errors which are not caught during the development phase since their trigger condition is too unlikely to occur or is not covered by the tests. For such systems, there is a need of safe and secure infield diagnosis. In this paper we present a tool software architecture with remote access, which facilitates standard read/write access, an efficient channel interface for communication and file I/O, and continuous trace. This enables the remote access of latest automotive Microcontroller Units (MCUs)’ trace systems, which provide non-intrusive system observation without compromising safety, security, or real-time performance. The tool access architecture is designed such that the physical interface is agnostic for the tool. A target can be connected with any standard tool interface as well as with Ethernet. With today’s increased silicon performance, Ethernet can be a viable option as tool interface, from development to the field. The implementation includes an agent firmware that can either run on an application core or as a sand-boxed sub-task of the security core. With the next generation vehicles’ E/E architectures moving towards an Ethernet backbone, this gives developers an option to include remote access to target systems without additional tool hardware.</div></div>

Publisher

SAE International

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. In-Field Debugging of Automotive Microcontrollers for Highest System Availability;Proceedings of the 2nd ACM International Workshop on Future Debugging Techniques;2024-09-13

2. EMDRIVE Architecture: Embedded Distributed Computing and Diagnostics from Sensor to Edge;2024 Design, Automation &amp; Test in Europe Conference &amp; Exhibition (DATE);2024-03-25

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3