Transactions of Society of Automotive Engineers of Japan
Online ISSN : 1883-0811
Print ISSN : 0287-8321
ISSN-L : 0287-8321
Technical Paper
Prediction Methodology for xEV Motor Durability against Random Vibration
Yoshifumi NasunoTomotaka NishimuraKazuya Arakawa
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2023 Volume 54 Issue 1 Pages 106-110

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Abstract
This paper proposes the predicting methodology of the motor parts damage in the fatigue test when the motor case is excited randomly. In the past, we usually repeated trial and error in the actual test and fixed within the required fatigue standards. However, this developing process took much time. In this way, predicting the damage methodology was required widely.
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© 2023 Society of Automotive Engineers of Japan, Inc.
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