Permanent-Magnet Temperature Distribution Estimation in Permanent-Magnet Synchronous Machines Using Back Electromotive Force Harmonics

被引:47
|
作者
Reigosa, David Diaz [1 ]
Fernandez, Daniel [1 ]
Tanimoto, Tsutomu [2 ]
Kato, Takashi [2 ]
Briz, Fernando [1 ]
机构
[1] Univ Oviedo, Dept Elect Comp & Syst Engn, Gijon 33204, Spain
[2] Nissan Motor Co Ltd, EV Syst Lab, Nissan Res Ctr, Atsugi, Kanagawa 2430123, Japan
关键词
Back electromotive force (BEMF); high-frequency signal injection; magnet temperature estimation; permanent-magnet synchronous machines (PMSMs); FREQUENCY SIGNAL-INJECTION; SURFACE PM MACHINES; SENSORLESS CONTROL; MOTORS; MODEL;
D O I
10.1109/TIA.2016.2536579
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Permanent magnet (PM) temperature measurement/estimation in permanent-magnet synchronous machines (PMSMs) is convenient for both torque control and monitoring purposes. Most of the existing methods provide an averaged/punctual temperature. However, PM temperature distribution is not uniform, which can have unexpected adverse effects such as reduced accuracy estimating the torque produced by the machine or local demagnetization e.g., due to hot spots. PM temperature distribution can be measured or estimated. Inner and outer PM surfaces are not visible once the machine is assembled. Therefore, measurement of the PM temperature distribution cannot be realized by visual means. An array of temperature sensors attached to the PM can be used in this case. While this is technically feasible, it is unaffordable in commercial products due to cost and robustness issues. Alternatively, the PM temperature distribution can be estimated. This paper analyzes the use of back electromotive force (BEMF) harmonics to estimate the differential temperature in the PM of a PMSM, i.e., the temperature difference between the hottest and coldest parts of the magnets. Combined with average PM temperature estimation methods, this information can be used to estimate the PM temperature spatial distribution. The proposed method has been developed on an empirical basis.
引用
收藏
页码:3093 / 3103
页数:11
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