Safety-oriented mixed-signal verification of automotive power devices in a UVM environment

Sebastian Simon, Ozlem Karaca, Jérôme Kirscher, Alexander W. Rath, G. Pelz, L. Maurer
{"title":"Safety-oriented mixed-signal verification of automotive power devices in a UVM environment","authors":"Sebastian Simon, Ozlem Karaca, Jérôme Kirscher, Alexander W. Rath, G. Pelz, L. Maurer","doi":"10.1109/SMACD.2016.7520718","DOIUrl":null,"url":null,"abstract":"The complexity of automotive applications is continuously increasing, leading to a growing demand for methodologies that offer comprehensive mixed-signal verification. However, compared to the highly automated verification methodologies in the digital domain, pre-silicon verification in the analog domain still implies a substantial amount of manual work and computational effort. Apart from this, automotive applications most often have to comply with functional safety standards and therefore their robustness concerning safety-critical faults needs to be proven. This is normally ensured by performing safety verification with faults being purposefully injected into the designs. In this paper we present a methodology that enables a regression-based mixed-signal verification combined with an existing approach for analog safety analysis. Both concepts are applied to an automotive design, in which faults have been injected, in order to demonstrate their capabilities.","PeriodicalId":441203,"journal":{"name":"2016 13th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD)","volume":"257 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 13th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SMACD.2016.7520718","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

Abstract

The complexity of automotive applications is continuously increasing, leading to a growing demand for methodologies that offer comprehensive mixed-signal verification. However, compared to the highly automated verification methodologies in the digital domain, pre-silicon verification in the analog domain still implies a substantial amount of manual work and computational effort. Apart from this, automotive applications most often have to comply with functional safety standards and therefore their robustness concerning safety-critical faults needs to be proven. This is normally ensured by performing safety verification with faults being purposefully injected into the designs. In this paper we present a methodology that enables a regression-based mixed-signal verification combined with an existing approach for analog safety analysis. Both concepts are applied to an automotive design, in which faults have been injected, in order to demonstrate their capabilities.
UVM环境下汽车电源设备面向安全的混合信号验证
汽车应用的复杂性不断增加,导致对提供全面混合信号验证的方法的需求不断增长。然而,与数字领域高度自动化的验证方法相比,模拟领域的预硅验证仍然意味着大量的手工工作和计算工作。除此之外,汽车应用程序通常必须符合功能安全标准,因此需要证明它们在安全关键故障方面的稳健性。这通常是通过执行安全验证来确保的,有目的地将故障注入到设计中。在本文中,我们提出了一种方法,使基于回归的混合信号验证与现有的模拟安全分析方法相结合。这两个概念都被应用到汽车设计中,其中故障被注入,以展示它们的能力。
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