Applying a System of Systems Perspective to Hyundai‐Kia's Virtual Tire Development

Author:

Yun Sunkil1,Alai Shashank2,Kim Yongdae1,Kim Tae Kook2,Jo Jaehun1,Lee Dahyeon2,Gorantla Lokesh2,Baloh Michael2

Affiliation:

1. Hyundai Motor Company

2. Siemens DISW

Abstract

AbstractSystems engineering has become important in almost every complex product manufacturing industry, especially automotive. Emerging trends like vehicle electrification and autonomous driving now pose a System of Systems (SoS) engineering challenge to automotive OEMs. This paper presents a proof‐of‐concept (PoC) that applies a top‐down SoS perspective to Hyundai‐Kia Motor Corporation's (HKMC) virtual product development process to develop a performance‐critical component of the vehicle, the tire. The PoC demonstrates using the Arcadia MBSE method to develop a consistent, layered, vehicle architecture model starting from the SoS operational context down to the lowest level of system decomposition in the physical architecture thereby capturing top‐down knowledge traceability. Using the concept of functional chains, several vehicle performance views are captured that serve as the basis for architecture verification orchestration across engineering domains using a cross‐domain orchestration platform thereby validating key vehicle/tire performance metrics that influence the tire design parameters. Preliminary results of the study show that applying a method‐based modeling approach could provide several benefits to HKMC's current product development approach such as reduced time to model, SoS knowledge capture and reusability, parameter/requirement traceability, early performance verification, and effective systems engineering collaboration between the OEM, tire design supplier and tire manufacturers.

Publisher

Wiley

Subject

Automotive Engineering

Reference35 articles.

1. Mihailovici M. 2021 ‘When software writes software’ Porsche Engineering Magazine January issue 1/2021 pp.24–27 viewed October 2022 .

2. Varanasi A. 2022 ‘How electric vehicles could fix the electrical grid’ Columbia News 6 May viewed October 2022 .

3. Litman T. 2022 ‘Autonomous vehicle implementation predictions: implications for transport planning’ Victoria Transport Policy Institute viewed October 2022 .

4. Towards the future of smart electric vehicles: digital twin technology;Bhatti G.;Renewable and Sustainable Energy Reviews,2021

5. Freemark Y. Stacy C. Fiol O.andMorales-Burnett J. 2022 ‘Regulations to respond to the potential benefits and perils of self-driving cars’ Urban Institute September viewed October 2022 .

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