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Customers2024

E-motors

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.

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