Advanced electrical machine drives for automotive and wind turbine applications

该项目正在研究开发和测试更智能的电机驱动器-其中机器控制直接与其状态监控和现有压力的意识相关联。这可以允许机器在更宽的范围内使用，以提供例如电动汽车中的牵引力或风力涡轮机中的电力，其中可以以完全知情的方式进行受控的过载和寿命管理。为了实现上述功能，需要在机器中嵌入一种新型传感器类型，以实现对关键应力被测对象（例如温度、应变）的原位监测-光纤FBG传感器可以提供此功能，并且将在本项目中开发其用途。精细的传感纤维将被嵌入到原型机器中，然后连接到控制，以测试通过传感应力和真实的时间控制的连接来开发先进操作能力的可能性。该研究主要与电动机和驱动器/电磁产品组合保持一致。

The project is looking at development and testing of more intelligent types of electrical machine drives - where the machine control is directly linked to its condition monitoring and the awareness of existing stress. This could allow for machines to be used in a wider envelope to provide e.g. traction in EVs or power in wind turbines, where controlled overloads and lifetime management can be done in a fully informed manner. To enable the above it is required to embed a novel sensor type into the machine to enable in situ monitoring of key stress measurands (e.g. temperature, strain) - the fibre optic FBG sensors can provide this functionality and their usage will be exploited in this project. Fine sensing fibres will be embedded in prototype machines and then linked to control to test the possibility of developing advanced operating capability through linkage of sensed stress and real time control.The research aligns primarily with the electrical motors and drives/electromagnetics portfolio.