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      소프트웨어 정의 조향 제어기를 위한 자동차 안전공학 전략: 시스템 이론적 관점을 적용한 모델 기반 접근 방식 = Automotive Safety Engineering Strategy for Software-defined Steering Controller: A Model-based Approach with System Theoretic Perspective

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      다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

      This paper proposes an MBSE (Model-based Safety Engineering) strategy to prevent accidents and assure the safety of SDVs (Software-defined Vehicles). The strategy focuses on system theory, especially CSD (Control Structure Diagram) designed as Function-Behavior-Structure perspectives, and aims to achieve functional safety and SOTIF (Safety of the Intended Functionality) simultaneously by integrating system theoretic hazard analysis and hierarchical reliability safety analysis in each perspective. To validate the proposed strategy, it was applied to an EPS (Electric Power Steering) controller, which is one of the key systems in SDVs. The analysis results demonstrate that the proposed strategy can systematically identify hazards in SDVs and assure safe control actions even in hazardous scenarios. This research is expected to provide an MBSE framework that solves the limitations of existing reliability-based methodologies in SDV development by linking system design with analysis and verification for functional safety and SOTIF.
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      This paper proposes an MBSE (Model-based Safety Engineering) strategy to prevent accidents and assure the safety of SDVs (Software-defined Vehicles). The strategy focuses on system theory, especially CSD (Control Structure Diagram) designed as Functio...

      This paper proposes an MBSE (Model-based Safety Engineering) strategy to prevent accidents and assure the safety of SDVs (Software-defined Vehicles). The strategy focuses on system theory, especially CSD (Control Structure Diagram) designed as Function-Behavior-Structure perspectives, and aims to achieve functional safety and SOTIF (Safety of the Intended Functionality) simultaneously by integrating system theoretic hazard analysis and hierarchical reliability safety analysis in each perspective. To validate the proposed strategy, it was applied to an EPS (Electric Power Steering) controller, which is one of the key systems in SDVs. The analysis results demonstrate that the proposed strategy can systematically identify hazards in SDVs and assure safe control actions even in hazardous scenarios. This research is expected to provide an MBSE framework that solves the limitations of existing reliability-based methodologies in SDV development by linking system design with analysis and verification for functional safety and SOTIF.

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