Taguchi-Based Preprocess Strategy for Fast Evaluating Worst Case Cogging Torque Due to PM Tolerance Interactions

The Taguchi method can be used with the finite element method (FEM) to evaluate the worst case cogging torque due to permanent magnet (PM) tolerances. However, the sampling number is huge due to interactions of various tolerances. To solve this issue, this article proposes a unique preprocess strategy based on the Taguchi method to significantly reduce the sampling number. By applying the proposed strategy to the 12-slot/10-pole (12S10P) machine, the sampling number is reduced significantly from <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$4.2 \times 10^{28}$ </tex-math></inline-formula> to 381. Applied to machines with different slot and pole number combinations and compared with existing methods, the proposed strategy is more suitable for machines having small <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$N_{pm}$ </tex-math></inline-formula>/<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$C_{T}$ </tex-math></inline-formula> (i.e., <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\le 10$ </tex-math></inline-formula>) and the number of critical PM tolerances (i.e., <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\le 4$ </tex-math></inline-formula>), where <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$N_{pm}$ </tex-math></inline-formula> is PM number and <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$C_{T}$ </tex-math></inline-formula> is the greatest common divisor of slot number (<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$N_{s}$ </tex-math></inline-formula>) and pole number (<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$2p$ </tex-math></inline-formula>). The measured results of the 12S10P machine agree well with the finite element predicted results by the proposed preprocess strategy.

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Publication Details

Journal
IEEE Transactions on Transportation Electrification
Published
2024-09-03
DOI
https://doi.org/10.1109/tte.2024.3453593
Citations
2
Primary Topic
Advanced Machining and Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.42
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article

Taguchi-Based Preprocess Strategy for Fast Evaluating Worst Case Cogging Torque Due to PM Tolerance Interactions

Dawei Liang, Shiyun Li, Xiaohua Qiu, Liyu Zheng et al.
2 citations
IEEE Transactions on Transportation Electrification
Advanced Machining and Optimization Techniques
0.42
article

Taguchi-Based Preprocess Strategy for Fast Evaluating Worst Case Cogging Torque Due to PM Tolerance Interactions

Dawei Liang, Shiyun Li, Xiaohua Qiu, Liyu Zheng, Z. Q. Zhu, Dong Xiang, Linshu Mao
article en
2 citations

Abstract

The Taguchi method can be used with the finite element method (FEM) to evaluate the worst case cogging torque due to permanent magnet (PM) tolerances. However, the sampling number is huge due to interactions of various tolerances. To solve this issue, this article proposes a unique preprocess strategy based on the Taguchi method to significantly reduce the sampling number. By applying the proposed strategy to the 12-slot/10-pole (12S10P) machine, the sampling number is reduced significantly from <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$4.2 \times 10^{28}$ </tex-math></inline-formula> to 381. Applied to machines with different slot and pole number combinations and compared with existing methods, the proposed strategy is more suitable for machines having small <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$N_{pm}$ </tex-math></inline-formula>/<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$C_{T}$ </tex-math></inline-formula> (i.e., <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\le 10$ </tex-math></inline-formula>) and the number of critical PM tolerances (i.e., <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\le 4$ </tex-math></inline-formula>), where <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$N_{pm}$ </tex-math></inline-formula> is PM number and <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$C_{T}$ </tex-math></inline-formula> is the greatest common divisor of slot number (<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$N_{s}$ </tex-math></inline-formula>) and pole number (<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$2p$ </tex-math></inline-formula>). The measured results of the 12S10P machine agree well with the finite element predicted results by the proposed preprocess strategy.

IEEE Transactions on Transportation ElectrificationVol. 11(1)
Midea Group (China) (CN), University of Sheffield (GB)
Climate action
Openalex Percentile: Top 38%
Advanced Machining and Optimization Techniques
0.42
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