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首页> 外文期刊>IEEE Transactions on Intelligent Transportation Systems >Risk Assessment and Development Cost Optimization in Software Defined Vehicles
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Risk Assessment and Development Cost Optimization in Software Defined Vehicles

机译:软件定义车辆中的风险评估和开发成本优化

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摘要

Vehicle design has entered a new stage, namely, Software Defined Vehicles (SDV), where functional safety is required to be guaranteed for risk control, and development cost needs to be optimized for profit maximization. This paper targets to optimize the development cost under the functional safety requirement for a safety-aware SDV, based on the automotive safety integrity level (ASIL) decomposition defined in ISO 26262. For this, a two-stage solution is proposed, which includes functional safety risk assessment and development cost optimization. The first stage develops a new fast risk assessment (FRA) algorithm to assess the functional safety risk, including the joint reliability risk and the real-time risk, of the SDV functionality. The second stage proposes a dual requirement guarantee (DRG) algorithm to optimize the development cost considering reliability and real-time requirements jointly. Our experiments demonstrate that the proposed two-stage solution guarantees the functional safety requirement while reducing the development cost by 20%-24%.
机译:车辆设计已进入新阶段,即软件已定义的车辆(SDV),其中需要保证功能安全性,以确保风险控制,并且需要优化开发成本以获得利润最大化。本文根据ISO 26262中定义的汽车安全完整性水平(ASIL)分解,本文根据安全信息安全要求优化开发成本。为此,提出了一种两级解决方案,包括功能安全风险评估和开发成本优化。第一阶段开发出新的快速风险评估(FRA)算法,以评估SDV功能的功能安全风险,包括联合可靠性风险和实时风险。第二阶段提出了一种双重需求保障(DRG)算法,以优化考虑可靠性和实时要求的开发成本。我们的实验表明,建议的两级解决方案保证了功能安全要求,同时将开发成本降低了20%-24%。

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