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Safety Analysis And Off-road Verification Of Intelligent Connected Vehicle

Posted on:2021-10-20Degree:MasterType:Thesis
Country:ChinaCandidate:Y XuFull Text:PDF
GTID:2492306107974509Subject:Engineering (vehicle engineering)
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Intelligent connected vehicle(ICV)is the result of the further integration of electronic communication technology,artificial intelligence technology and traditional automobile industry.With intelligent and connected technology as its own technical characteristics and development direction,it is committed to improving the comfort and safety of driving,providing comprehensive and multi-dimensional driving assistance technology and safety guarantee mechanism for drivers.However,the introduction of new technologies and systems may also bring additional safety problems due to their own system design and software/hardware failure.If these safety problems are not properly analyzed and solved,they may lead to actual accidents,and cause incalculable losses to personal and property safety,corporate reputation,etc.Therefore,how to effectively analyze and locate the potential sources of these safety problems and design the test and verification process is an important means to solve the safety problems of the intelligent network connected vehicle,and also an important guarantee for the widespread acceptance and further development of the intelligent network connected vehicle.This paper takes the ICV as the research object,aiming to discover and clearly define the potential safety problems as much as possible.According to the basic framework of hazard analysis and risk assessment of ISO 26262 functional safety,a set of structured safety analysis and non-road verification system of intelligent network connected vehicle is designed,and the following research is focused on:(1)Aiming at the safety analysis of the ICV,the structural analysis process,safety analysis method and safety critical scenarios are studied.Firstly,the basic framework and key node outputs of safety analysis are determined based on functional safety standards,which lays a structured and traceable foundation for the overall analysis process;secondly,the state-based analysis method and FTA method are designed to realize the structural definition from system-level loss to system-level hazard,and STPA analysis method is used to realize the structure from system level hazard to loss scenario;Finally,the safety critical scenario is composed of the defined loss scenario and the possible vehicle operation scenario.The research work can be the inputs of the following test and verification process of ICV.(2)Aiming at the test and verification of ICV,the existing test methods and requirements of intelligent network connected vehicle are studied,and a non-road test platform suitable for ICV is proposed.First of all,this paper introduces and discusses different test methods of ICV,and evaluates each method from four aspects of economy,authenticity,safety and efficiency;then,it discusses the test requirements of ICV from three aspects of test environment,vehicle operation and test scenario;finally,based on the above analysis,it puts forward the non-road test platform for ICV,including test platform for autonomous driving assistant system and connected driving assistant system.The research work can be combined with the work in(1)to form a structured safety analysis and non-road verification system for ICV.(3)Aiming at the application problems of structured safety analysis and non-road verification system of ICV,the ACC system and OTA upgrade system are taken as examples for analysis.The case analysis process realizes the whole process of structural and traceable analysis and evaluation system and document records from the top system level hazard definition to the final test and verification results.The results of the overall analysis and evaluation can also be used to guide the iteration of the analysis process and work as the evidence of the safety argument.
Keywords/Search Tags:ICV, functional safety, safety analysis, off-road verification, case analysis
PDF Full Text Request
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