Automotive
Technical Paper

Improvement of motor calibration by using deep learning

2019-01-2310

12/19/2019

Features
Event
2019 JSAE/SAE Powertrains, Fuels and Lubricants
Authors
Toshiki Terabe Toyota Motor Corporation
Toshio Watari Toyota Motor Corporation
Hiroshi Yoshimoto Toyota Motor Corporation
Kenji Yamada Toyota Motor Corporation
Abstract
Content
Knowledge of experts is necessary for judging motor current waveforms. Here, we develop an automatic judgement system for motor current waveform by establishing an AI model trained by knowledge of experts and CAE technology.
Meta Tags
Topics
Neural networks
Artificial intelligence (AI)
Education and training
CAD, CAM, and CAE
Calibration
Affiliated or Co-Author
Toyota Motor Corporation
Details
DOI
https://doi.org/10.4271/2019-01-2310
Citation
Terabe, T., Watari, T., Yoshimoto, H., and Yamada, K., "Improvement of motor calibration by using deep learning," 2019 JSAE/SAE Powertrains, Fuels and Lubricants, Kyoto, Japan, August 26, 2019, https://doi.org/10.4271/2019-01-2310.
Additional Details
Publisher
SAE International
Published
12/19/2019
Product Code
2019-01-2310
Content Type
Technical Paper
Language
English