不确定性量化对效率测量和验证要求的应用,通过对比模拟和物理测试结果来验证要求
Michael Leighton1, Uday Akasapu2
1AVL List GmbH, 8020 Graz, Austria.
Sensors (Basel, Switzerland)
|August 10, 2024
概括
这项研究证明了电动驱动单元效率测试的不确定性量化. 它提高了对模拟的信心,并通过分析测量错误来验证测试结果.
科学领域:
- 工程 工程师 工程师 工程师
- 计量学 计量学 计量学
- 汽车工程 汽车工程
背景情况:
- 产品开发在很大程度上依赖于验证,以达到设计目标并减轻风险.
- 电动驱动单元 (EDU) 是现代汽车的关键部件,需要严格的测试.
- 精确的效率测试对于EDU的性能和可靠性至关重要.
研究的目的:
- 为了证明电动驱动单元 (EDU) 效率测试的不确定性量化 (UQ).
- 在验证过程中增强对模拟结果的信心.
- 通过分析测量不确定性来评估要求覆盖范围和验证测试结果.
主要方法:
- 使用了"测量不确定性表达指南" (GUM) 的框架,用于UQ.
- 对EDU效率测试的测量链进行了分析评估.
- 导出基本不确定性并将其传播到导出的效率量.
主要成果:
- 在基于传感器的测量链中识别出错误的测量.
- 量化了与EDU效率测量相关的不确定性.
- 提供了评估要求覆盖范围和验证测试结果的基础.
结论:
- UQ对于可靠的EDU效率验证至关重要.
- 测量不确定性的分析突出了测试过程中的潜在错误.
- 这种方法提高了验证活动的可信度,并为设计改进提供了信息.
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