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Monte Carlo based post-silicon verification considering automotive application variances

机译:基于Monte Carlo的后硅验证考虑汽车应用差异

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In this paper we present a fully automated approach to consider device-to-device variances of automotive power applications during post-silicon verification. Due to the high complexity of target applications for automotive smart power microelectronics, it is not sufficient to affirm compliance to their specification. Car manufacturers therefore push for more extensive application robustness beyond classical methods. To cope with this requirement a FPGA platform is used to evaluate physical equations of automotive power application components in real-time together with a dynamic power amplifier to interface the digital FPGA outputs to the analog world. The functionality and the advantage of this approach is evaluated based on several Monte Carlo experiments by using an Advanced Front Lighting system as an example.
机译:在本文中,我们在硅后验证期间提出了一种全自动方法来考虑汽车电源应用的设备到设备方差。由于汽车智能电力微电子的目标应用的高复杂性,确认其规范的符合性是不够的。因此,汽车制造商推动了超越古典方法的更广泛的应用鲁棒性。为了应对该要求,FPGA平台用于评估汽车电力应用组件的物理方程,实时与动态功率放大器一起接口数字FPGA输出到模拟世界。通过使用先进的前照明系统作为示例,基于多个蒙特卡罗实验评估该方法的功能和优点。

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