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CLC number: TM301.2
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2016-07-12
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Initial position estimation strategy for a surface permanent magnet synchronous motor used in hybrid electric vehicles
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Bing Tian, Qun-tao An, Li Sun, Dong-yang Sun, Jian-dong Duan. Initial position estimation strategy for a surface permanent magnet synchronous motor used in hybrid electric vehicles[J]. Frontiers of Information Technology & Electronic Engineering, 2016, 17(8): 803-813.
@article{title="Initial position estimation strategy for a surface permanent magnet synchronous motor used in hybrid electric vehicles",
author="Bing Tian, Qun-tao An, Li Sun, Dong-yang Sun, Jian-dong Duan",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="17",
number="8",
pages="803-813",
year="2016",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.1500298"
}
%0 Journal Article
%T Initial position estimation strategy for a surface permanent magnet synchronous motor used in hybrid electric vehicles
%A Bing Tian
%A Qun-tao An
%A Li Sun
%A Dong-yang Sun
%A Jian-dong Duan
%J Frontiers of Information Technology & Electronic Engineering
%V 17
%N 8
%P 803-813
%@ 2095-9184
%D 2016
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.1500298
TY - JOUR
T1 - Initial position estimation strategy for a surface permanent magnet synchronous motor used in hybrid electric vehicles
A1 - Bing Tian
A1 - Qun-tao An
A1 - Li Sun
A1 - Dong-yang Sun
A1 - Jian-dong Duan
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 17
IS - 8
SP - 803
EP - 813
%@ 2095-9184
Y1 - 2016
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.1500298
Abstract: A novel nonlinear model for surface permanent magnet synchronous motors (SPMSMs) is adopted to estimate the initial rotor position for hybrid electric vehicles (HEVs). Usually, the accuracy of initial rotor position estimation for SPMSMs relies on magnetic saturation. To verify the saturation effect, the transient finite element analysis (FEA) model is presented first. hybrid injection of a static voltage vector (SVV) superimposed with a high-frequency rotating voltage is proposed. The magnetic polarity is roughly identified with the aid of the saturation evaluation function, based on which an estimation of the position is performed. During this procedure, a special demodulation is suggested to extract signals of iron core saturation and rotor position. A Simulink/MATLAB platform for SPMSMs at standstill is constituted, and the effectiveness of the proposed strategy is verified. The proposed method is also validated by experimental results of an SPMSM drive.
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