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Quantification of Plausibility Cross-checks (PCc) in Safety Critical Systems for Hybrid and Electric Vehicles

机译:混合动力和电动汽车安全关键系统中合理性交叉检查(PCC)的量化

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When analysing a high voltage isolation monitoring system for a hybrid or electric vehicle at the system architecture concept stage, close correlation can be demonstrated between the Plausibility Cross-check (PCc) quantification and the Single Point Fault Metric and Latent Fault Metric calculated during verification of the final design. The quantitative analysis method discussed, gives a high confidence level at the concept stage that the architecture selected is capable of achieving the safety goals and their associated Automotive Safety Integrity Level (ASIL) targets. The early adoption of an architecture capable of meeting the required ASIL targets will require fewer iterations in the detailed design phases of the lifecycle thereby reducing the likelihood of late design changes. The method has been applied in both new vehicle architectures and also the retrofit of an electric drive system into an existing diesel powered vehicle.
机译:当在系统架构概念概念处分析用于混合动力或电动车辆的高压隔离监测系统时,可以在验证期间计算合理性交叉检查(PCC)量化和单点故障度量和潜在故障度量之间的密切相关性最终设计。讨论的定量分析方法在概念阶段提供了高置信水平,即所选择的架构能够实现安全目标及其相关的汽车安全完整性水平(ASIL)目标。早期采用能够满足所需的ASIL目标的架构将需要在生命周期的详细设计阶段中的迭代率较少,从而降低了晚期设计变化的可能性。该方法已在新的车辆架构中应用于现有柴油动力车辆的电动驱动系统的改造。

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