Customer Needs
Enhance the nominal performance of the eMotor.
Reduce the system’s costs.
Challenges
Complex thermal management: In high-current-density motors, uneven temperature distribution limits the effectiveness of advanced cooling systems.
Inadequacy of physical sensors: Using a single traditional thermal sensor requires large safety margins (20°C), which reduces performance.
Solution
VTS is a software solution embedded into control units, offering real-time temperature predictions without hardware sensor limitations.
It predicts outcomes to optimize control decisions, enhancing traditional hardware sensors' capabilities.
Technology and Methodology
Utilization of Finite Element Analysis (FEA) with over 5 million degrees of freedom, reduced to 21 degrees using Model Order Reduction (MOR).
Integration with real-world data to calibrate and optimize the model.
Model size: <2 kB RAM, <100 kB FLASH memory.
Key results
Boost rated speed (up to 8%)
Boost nominal torque (up to 12%)
Enhanced insulation class and temperature class of the e-machine
Model accuracy with a maximum error of ±5°C.
Efficient implementation on real-time platforms (e.g., Aurix TC3) with an execution time of 76 microseconds.
Tool
Twin Fabrica: A software engineering platform for creating, simulating, and implementing virtual sensors in an integrated and scalable way.