Model-based System Testing

Model-based System Testing

为了应对主要的市场驱动因素：能源效率、安全性和性能，许多产品现在都包括控制器，这些电子元件可帮助优化产品的性能或改善其品牌特性。高级控制系统的广泛使用增加了产品开发、仿真和测试的复杂性。

Simcenter 通过集成测试和仿真工具在任何开发阶段加速系统测试，并通过基于模型的系统测试功能扩展其产品组合。此功能可尽可能提高在整个系统开发周期中使用的工具和方法的一致性，并提供一个高度敏捷的机电一体化系统工程环境。基于模型的系统测试支持在整个开发周期中使用虚拟模型、虚拟-物理组合模型以及物理原型进行属性特定的评估。

Consistent Analysis

Ensure results consistency of your simulated and physical testing analyses. Model-based system testing allows you to employ the same analysis methods, the same libraries and parameter settings, regardless the origin of the data. Our solution gives access to simulated data from early engineering phases on and lets you analyze those identically to data measured on physical prototypes. The analysis and processing methods applied simultaneously on measured and simulated channels yield unambiguous data sets.

Immediate Correlation

Forget about file formatting, data import, time-base synchronization and unit conversion. Model-based system testing takes the burden away by running your simulation models inside Simcenter Testlab and by enabling model-driven data selection of multi-physical simulation results from Simcenter Amesim.  The simulation data and simulation model exchange helps to keep all your results automatically organized and properly displayed for immediate correlation.

Model-based Virtual Channels

Easily include simulation models using the FMI 2.0 standard – alike system simulation models from Simcenter Amesim – in any analysis process in Simcenter Testlab Process Designer. Use test data as FMI model input data to simulate operational conditions. The FMI model outputs become available as additional virtual channels in a test data format to augment test data for better engineering insights, for example, when direct measurements are not possible. Connect FMI model outputs to all existing analysis methods in the active process.