A Lifetime Management Framework for SOTIF-Oriented Vehicle Dynamics Control: A Data-Driven Approach

doi:10.1109/TIV.2023.3341144

CORC > 自动化研究所 > 中国科学院自动化研究所 > 复杂系统管理与控制国家重点实验室 > 先进控制与自动化团队

	A Lifetime Management Framework for SOTIF-Oriented Vehicle Dynamics Control: A Data-Driven Approach
	Chen, Jicheng 4; Liang, Jingguo 4; Teng, Siyu 3; Zhang, Hui 4; Wang, Fei-Yue 1,2
刊名	IEEE TRANSACTIONS ON INTELLIGENT VEHICLES
	2024
卷号	9 期号:1 页码:48-51
关键词	Safety Control systems Vehicle dynamics Fault diagnosis Hazards Autonomous vehicles Uncertainty Sustainability safety of the intended functionality (SOTIF) intelligent vehicles adaptive observer data-driven FDI fault tolerant control
ISSN号	2379-8858
DOI	10.1109/TIV.2023.3341144
通讯作者	Zhang, Hui(huizhang285@buaa.edu.cn)
英文摘要	Current safety of the intended functionality (SOTIF) studies are focused on perception limitations, decision uncertainties, and human-machine interaction, while it tends to overlook the impact of the control system on SOTIF. This letter seeks to address this gap by establishing a lifetime management framework for vehicle dynamics control (VDC) systems. At first, we provide an introduction to the fundamental composition and control architecture of a VDC system. Furthermore, we identify representative hazard scenarios, trigger conditions and performance deficiencies in VDC. Building upon data-driven fault-tolerant control theory, a comprehensive framework consisting of adaptive filter, iterative learning, fault diagnosis and identification, and fault-tolerant control modules is presented. The proposed framework is specifically designed to address trigger conditions such as driving environment variations, integration of multiple control systems, performance degradation due to components aging and maintenance. The framework features online driving state supervision, driving risk measurement, and intervention for mitigation of the SOTIF issues. As a summary of a part of Distributed/Decentralized Hybrid Workshop on Sustainability for Transportation and Logistics (DHW-STL), the letter reports the development of an intelligent vehicle lifetime management framework with a strong focus on SOTIF issues.
资助项目	Defense Industrial Technology Development Program[JCKY2020601B012]
WOS研究方向	Computer Science ; Engineering ; Transportation
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:001173317800011
资助机构	Defense Industrial Technology Development Program
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/58710]
专题	自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队
通讯作者	Zhang, Hui
作者单位	1.Macau Univ Sci & Technol, Inst Engn, Macau 999078, Peoples R China 2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 3.Hong Kong Baptist Univ, Kowloon, Hong Kong 999077, Peoples R China 4.Beihang Univ, Sch Transportat Sci & Engn, Beijing 100191, Peoples R China
推荐引用方式 GB/T 7714	Chen, Jicheng,Liang, Jingguo,Teng, Siyu,et al. A Lifetime Management Framework for SOTIF-Oriented Vehicle Dynamics Control: A Data-Driven Approach[J]. IEEE TRANSACTIONS ON INTELLIGENT VEHICLES,2024,9(1):48-51.
APA	Chen, Jicheng,Liang, Jingguo,Teng, Siyu,Zhang, Hui,&Wang, Fei-Yue.(2024).A Lifetime Management Framework for SOTIF-Oriented Vehicle Dynamics Control: A Data-Driven Approach.IEEE TRANSACTIONS ON INTELLIGENT VEHICLES,9(1),48-51.
MLA	Chen, Jicheng,et al."A Lifetime Management Framework for SOTIF-Oriented Vehicle Dynamics Control: A Data-Driven Approach".IEEE TRANSACTIONS ON INTELLIGENT VEHICLES 9.1(2024):48-51.