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Moving Automotive Electronics from Reliability/Durability Testing to Virtual Validation Modeling Using a Physics of Failure CAE App

机译:使用失败CAE应用的物理从可靠性/耐久性测试移动到虚拟验证建模的汽车电子产品

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Quality, Reliability, Durability (QRD) and Safety of vehicular Electrical/Electronics (E/E) systems traditionally have resulted from arduous rounds of Design-Built-Test-Fix (DBTF) Reliability and Durability Growth Testing. Such tests have historically required 12-16 or more weeks of Accelerated Life Testing (ALT), for each round of validation in a new product development program. Challenges have arisen from: The increasing number of E/E modules in today's vehicle places a high burden on supplier's test labs and budgets. The large size and mass of electric vehicle power modules results in a lower test acceleration factors which can extend each round of ALT to 5-6 months. Durability failures tend to occur late in life testing, resulting in the need to: perform a root cause investigation, fix the problem, build new prototype parts and then repeat the test to verify problem resolutions, which severely stress program budgets and schedules. To resolve these challenges, automakers and E/E suppliers are moving to Physics of Failure (PoF) based durability simulations and reliability assessment solutions performed in a Computer Aided Engineering (CAE) Environment. When PoF knowledge is converted into math models and integrated into CAE durability simulations and reliability assessments tools, it can be determined if and when a device will be susceptible to failure mechanisms over its life cycle.
机译:传统上,车辆电气/电子设备(E / E)系统的质量,可靠性,耐用性(QRD)和安全性来自艰苦的设计内置测试 - 固定(DBTF)可靠性和耐用性增长测试。此类测试在历史上需要12-16或更多周内的加速寿命测试(ALT),用于新产品开发计划中的每一轮验证。挑战来自:当今车辆中越来越多的E / E模块在供应商的测试实验室和预算中占用了高负担。大尺寸和大量的电动车辆电源模块导致较低的测试加速度因子,可以将每一轮ALT延伸至5-6个月。耐用性失败往往会发生在生命测试中期晚期,导致需要:执行根本原因调查,解决问题,建立新的原型零件,然后重复测试以验证问题分辨率,严重压力计划预算和时间表。为了解决这些挑战,汽车制造商和E / E供应商正在转向失败的物理(POF)基于计算机辅助工程(CAE)环境中的基于耐用性仿真和可靠性评估解决方案。当POF知识转换为数学模型并集成到CAE耐久性模拟和可靠性评估工具中时,可以确定设备是否易于在其生命周期内的故障机制。

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