Abstract
The motor vibration is mainly induced by the electromagnetic excitation. In order to improve the running performance of the permanent magnet brushless DC motor (BLDCM) within the rolling rotor compressor, this paper builds the predicted model of the electromagnetic excitation and analyzes the electromagnetic characteristic of the BLDCM. Firstly, the electromagnetic field is divided into four regions in 2D plane, including the magnet, air gap, stator slot, and slot-opening subdomains. Then, the relative equations of the electromagnetic field are constructed, and the vector magnetic potential is solved by the variable separation method. Thus, the magnetic flux density of the air gap is derived by the corresponding vector magnetic potential, which is used to describe the electromagnetic excitation. Based on the built model, the effects of the slot opening and air gap length on the electromagnetic characteristic are analyzed. The analysis results can provide a reference for the improvement of the electromagnetic characteristic of the BLDCM by structure optimization.
Highlights
- A 3D model of BLDCM is built to analyze its sturcture.
- The electromagnetic characteristic of the BLDCM was analyzed.
- The effect of the slot opening on the magnetic flux density was analyzed.
- The effect of the air gap length on the electromagnetic force was analyzed.
1. Introduction
Due to the traits of high efficiency, easy control, long-life, simple construction and so on, the BLDCM is widely used in the various fields, especially in the home appliance [1]. For example, the BLDCM within the rolling rotor compressor is selected as the driving motor in the air conditioning. The vibration of the BLDCM could directly affect the running performance of the overall system, which is mainly caused by the electromagnetic excitation [2].
The research methods for the motor electromagnetic fields mainly include the analytical method, the finite element method (FEM), the graphical method, and so on. The FEM can ensure the predicted accuracy, but it will loss the efficiency. The analytical method shows the good calculated efficiency. Such as, Zhu et al. [3] investigated the effect of stator slotting on the radial magnetic field distribution. Dubas et al. [4] developed a new analytical solution for the multipole surface mounted permanent-magnet motors, where both the radial and parallel magnetization and the slotting effect were considered. Then, Zhu et al. [5] built an accurate analytical subdomain model for the magnetic field computation in surface-mounted permanent-magnet machines. Additionally, Lubin et al. [6] also proposed an analytical subdomain model to compute the magnetic field distribution in surface-mounted permanent-magnet motors with semi-closed slots, where the expression and solution of this model show more simplified and simple. He et al. [7] investigated the influence of rotor eccentricity on the electromagnetic performance by the finite element analyses and experiments.
In this paper, in order to investigate the electromagnetic characteristic of the BLDCM, the method [6] is introduced to describe the electromagnetic field. In Section 2, the predicted model is constructed by combining the equations of the different subdomains in 2D polar coordinates, and thus the electromagnetic excitation is derived and obtained. Then, the effects of the structure parameter including the slot opening and air gap length on the electromagnetic characteristic are analyzed in Section 3. Finally, some conclusions are listed in Section 4.
2. Analytical model of magnetic field of the BLDCM
2.1. Physical model of BLDCM
The BLDCM in this paper is inside the rolling rotor compressor used in the refrigeration equipment, such as air conditioning, refrigerators, and so on. The motor mainly consists of the rotor, stator, rolling rotor, shaft, sliding bearing and shell, whose 3D structure is shown in Fig. 1. The rotor, rolling rotor and sliding bearing are mounted on the same rotating shaft. During running, the BLDCM drives the rotating shaft and rolling rotor to rotate, which changes the volume of the working cavity composed of the rolling rotor and air cylinder to compress gas. As the basis of analysis the dynamic characteristic of the BLDCM, the electromagnetic excitation is investigated in the next subsection.
Fig. 1The 3D schematic diagram of the BLDCM: 1 – rolling rotor; 2 –shaft; 3 – air cylinder; 4 – upper bearing; 5 – stator
2.2. Analytical model of magnetic field
In Fig. 2, the cross section of the BLDCM is artificially divided into four parts, including the magnet, air gap, stator slot, and slot-opening subdomains. In 2D polar coordinates, i.e. , and are the inner and outer radiuses of the permanent magnet, respectively. The rotor and permanent magnet subdomain are in contact at ; the two subdomains of the permanent magnet and air gap are in contact at . And are the outer radius of the air gap subdomain, where the two subdomains of the air gap and slot-opening are in contact at . and are the outer radiuses of the slot-opening and stator slot subdomains, respectively. In addition, and are the slot-opening angle and the slot-pitch angle, respectively.
For the sake of convenient analysis, some assumptions are listed as follows: (1) the silicon steel sheets are infinitely permeable; (2) the end effect is ignored; (3) the relative permeability of permanent magnet subdomain .
In air-gap subdomain, the Laplace equation can be built in forms of polar coordinates, which can be described as:
where is the vector magnetic potential of air gap subdomain.
The boundary conditions of the air gap subdomain are:
where and are the vector magnetic potentials of the permanent magnet and slot-opening subdomains, respectively.
Fig. 2Schematic diagram of cross section of the BLDCM: 1 – stator; 2 – air gap; 3 – permanent magnet; 4 – slot; 5 – slot opening; 6 – rotor; 7 – shaft
Based on the variable separation method, Eq. (1) can be solved, whose general solution can be expressed by:
where , , and refer to the harmonic coefficients of the magnetic vector potential in the air gap. Functions and are used to deal with the solutions of the magnetic vector potential [6].
The relationship between the magnetic flux density and the vector magnetic potential can be described as:
Based on the Eq. (4), the radial and tangential magnetic flux density in the air gap can be obtained by:
where:
where is a positive integer.
The electromagnetic torque can be expressed by:
where is the axial length of the stator core, and is the air gap permeability.
Substitution Eq. (5) into Eq. (7), the electromagnetic torque can be described by the Fourier series:
Based on the Maxwell tensor formula, the electromagnetic force along and directions can be written as:
Then, substituting the magnetic flux density in Eq. (5) into Eq. (9), Eq. (9) can be rewritten as the follows:
3. Analysis of electromagnetic characteristic of the BLDCM
This paper takes the BLDCM in the rolling rotor compressor of an air conditioner as an example, where the corresponding system parameters are listed in Table 1. Then, the system parameters are substituted into the above equations to obtain the electromagnetic excitation. The effects of the air gap length and the slot opening on the electromagnetic characteristic are analyzed in detail.
Table 1Parameters of the BLDCM
Items | Value | Items | Value |
Axial length of stator | 80 (mm) | Pole-arc coefficient | 1 |
Outer radius of rotor | 24.6 (mm) | Pole-pairs number | 2 |
Outer radius of magnet | 27.7 (mm) | Number of stator slots | 6 |
Radius of stator bore | 28.9(mm) | Relative permeability of magnet | 1.02 |
Radius of slot opening | 31 (mm) | Residual magnetic flux density | 1.2 T |
Radius of slot | 46.4 (mm) | Speed of motor | 3000 r/min |
3.1. The effect of the slot opening on the magnetic flux density (MFD)
In order to analyze the effect of the slot opening (/) on the magnetic flux density (MFD), three values of the slot opening are selected, including / = 0.1, 0.3 and 0.5. The radial and tangential MFDs of the air gap are illustrated in the Fig. 3. In the figure, when the slot opening increases from 0.1 to 0.5, the fluctuation of magnetic flux density gradually aggravates. Especially, the radial MFDs obviously fluctuate at the slot opening. This shows that the fluctuation resulted from slot opening directly affects the electromagnetic excitation.
Fig. 3Magnetic flux density of air gap under different slot opening
a) Radial MFD
b) Tangential MFD
3.2. The effect of the air gap length on the electromagnetic force
Under the different air gap length, the rotor is subjected to the different electromagnetic forces, which further affects the dynamic characteristic of the motor. The air gap length (AGL) is selected with 1 mm, 2 mm and 3 mm, where the slot opening is 0.1. Then, the obtained electromagnetic forces (EFs) along and directions are shown in Fig. 4. When the air gap length increases, the electromagnetic forces gradually decreases. In other words, the increasing air gap length would weaken the electromagnetic excitation. Therefore, the structural parameters of the motors, such as the slot opening and the air gap length, should be optimized to improve the electromagnetic characteristic.
Fig. 4Electromagnetic force under different air gap length
a) EF along direction
b) EF along direction
4. Conclusions
In this paper, a predicted model of the electromagnetic excitation for the BLDCM is built. Based on the obtained the vector magnetic potential, magnetic flux density of the air gap is derived, and thus the electromagnetic excitation including the electromagnetic torque and force are described. Then, the electromagnetic characteristics are analyzed according to the built model. The analysis results show that the increasing slot opening will aggravate the fluctuation of magnetic flux density, but the increasing air gap length can weaken the electromagnetic force. Therefore, the electromagnetic characteristic of the motor can be optimized using the appropriate structural parameters.
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About this article
This work was supported by the National Natural Science Foundation of China (Grant No. 51975336), Key Research and Development Program of Shandong Province (Grant No. 2020JMRH0202), the New Old Energy conversion Major Industrial Tackling Project of Shandong Province (Grant No. 2021-13), the Education and Teaching Reform Research Project of Shandong University (2022Y133, 2022Y124, 2022Y312), and Key Research and Development Program of Jining City (2021DZP005).
The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
The authors declare that they have no conflict of interest.