A Review of Data-driven Surrogate Models for Design Optimization of Electric Motors

Mengyu Cheng; Xing Zhao; Mahmoud Dhimish; Wangde Qiu; Shuangxia Niu

doi:10.1109/TTE.2024.3366417

A Review of Data-driven Surrogate Models for Design Optimization of Electric Motors

Mengyu Cheng, Xing Zhao, Mahmoud Dhimish, Wangde Qiu, Shuangxia Niu

Electronic Engineering

Research output: Contribution to journal › Article › peer-review

Original language	English
Journal	IEEE Transactions on Transportation Electrification
Early online date	15 Feb 2024
DOIs	https://doi.org/10.1109/TTE.2024.3366417
Publication status	E-pub ahead of print - 15 Feb 2024

Bibliographical note

This is an author-produced version of the published paper. Uploaded in accordance with the University’s Research Publications and Open Access policy.

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10.1109/TTE.2024.3366417

A_Review_of_Data-driven_Surrogate_Models_for_Design_Optimization_of_Electric_Motors
This is an author-produced version of the published paper. Uploaded in accordance with the University’s Research Publications and Open Access policy.
Accepted author manuscript, 2.83 MBLicence: CC BY

Cite this

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N1 - This is an author-produced version of the published paper. Uploaded in accordance with the University’s Research Publications and Open Access policy.

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