Simulation and Validation of Stator Modes of a Hairpin Motor AAM Investment Management Company

Format:

Book

Conference/Event

Author/Creator:

Zhang, Fulong, author.

Contributor:

Ba, Jing

Sun, Zhaohui

Conference Name:

Noise and Vibration Conference & Exhibition (2023-05-15 : Grand Rapids, Michigan, United States)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2023

Summary:

With the trend of electric drive unit gradually replacing ICE powertrain, in additional to gear noise, the motor noise has become a new major NVH challenge. These tonal noises are easier to be detected in the pure electric vehicle that has no masking effect of ICE powertrain. Therefore, how to accurately predict and reduce the motor noise is a key to solve the problem. The accuracy of calculated motor stator modes determines the accuracy of motor noise prediction. This paper presents a simulation method based on the finite element model and defined orthotropic material properties of the stator. The material property parameters of the stator core and hairpin windings are reverse-engineered through iterative correlations to test data. High accuracy FEA model is achieved that can determine the stator mode shapes and frequencies of this hairpin motor accurately, which provides a reliable and effective approach for the motor noise prediction and optimization studies

Notes:

Vendor supplied data

Publisher Number:

2023-01-1074

Access Restriction:

Restricted for use by site license