Electric Motor for Brakes – Optimal Design 2020-01-0919
A multi-objective optimal design of a brushless DC electric motor for a brake system application is presented. Fifteen design variables are considered for the definition of the stator and rotor geometry, pole pieces and permanent magnets included. Target performance indices (peak torque, efficiency, rotor mass and inertia) are defined together with design constraints that refer to components stress levels and temperature thresholds, not to be surpassed after heavy duty cycles. The mathematical models used for optimization refer to electromagnetic field and related currents computation, to thermo-fluid dynamic simulation, to local stress and vibration assessment. An Artificial Neural Network model, trained with an iterative procedure, is employed for global approximation purposes. This allows to reduce the number of simulation runs needed to find the optimal configurations. Some of the Pareto-optimal solutions resulting from the optimal design process are analysed. They show high improvements of the performance indices with respect to a reference solution.
Citation: Di Gerlando, A., Gobbi, M., Mastinu, G., and Miotto, A., "Electric Motor for Brakes – Optimal Design," SAE Int. J. Adv. & Curr. Prac. in Mobility 2(5):2745-2750, 2020, https://doi.org/10.4271/2020-01-0919. Download Citation
Author(s):
Antonino Di Gerlando, Massimiliano Gobbi, Giampiero Mastinu, Alessio Miotto
Affiliated:
Politecnico di Milano, Brembo Spa
Pages: 6
Event:
WCX SAE World Congress Experience
ISSN:
2641-9637
e-ISSN:
2641-9645
Also in:
SAE International Journal of Advances and Current Practices in Mobility-V129-99EJ
Related Topics:
Optimization
Neural networks
Design processes
Electric motors
Mathematical models
Simulation and modeling
Braking systems
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