Riassunto analitico
As the demand for enhanced performance in electric motors continues to rise, it becomes imperative to gain insights into the trending values of key physical characteristics within the machine. Simultaneously, a critical aspect to account for is the maximum temperature that each individual component can attain and the thermal pathway within the machine.
This study presents a detailed analysis of the lumped parameter thermal network for the Front Electric Motor in a Ferrari electric car. In this thermal network model, each component of the motor is represented as a node, and these nodes are interconnected by thermal resistances. The mathematical calculations for these resistances take into account the geometric and physical characteristics of each part of the motor assembly.
The research involved conducting experiments based on known parameters, including temperature distributions within the stator (as determined through 3D model simulations) and power dissipation in various components (measured through experimental testing).
This model proves to be highly valuable and reliable as an initial predictive tool for assessing the motor's thermal performance, with a specific emphasis on predicting the temperature distribution within the magnets located in the rotor. Importantly, this simplified model exhibits a strong correlation with the results obtained from 3D simulations, providing a clear representation of the actual operating conditions of the motor.
Towards the conclusion of the study, a sensitivity analysis is conducted to anticipate real-world scenarios. This analysis explores how variations in power losses in the bearings or reductions in the air gap thickness, leading to increased power losses, would impact the motor's performance.
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