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1. Introduction
The performance of the vehicle generators directly affects the performance and service life of the electrical equipment. Permanent magnet generator (PMG) has a broad application prospect because of its advantages of high efficiency, high power density, and high reliability [1–3]. Compared with the built-in tangential PMG, the permanent magnet steel (PMS) of the surface-mounted PMG and the built-in radial PMG is closer to the main air gap, and the distance between the PMSs is closer too, so there is less magnetic leakage between them. Moreover, compared with the surface-mounted PMG, the built-in radial PMG has high structural strength and high reliability and therefore has become the future development trend [4–7]. However, the rotor magnetic field of this generator is provided by two adjacent radial PMSs in series and therefore needs to pass through two PMSs. Due to the large magnetic resistance of the PMS, the rotor magnetic field is weakened, which can lead to the weakening of the air-gap magnetic field and affect the output performance of the generator [8]. Therefore, it is of great significance to accurately analyze the influencing factors of rotor magnetic field and improve the main air-gap magnetic field and the output characteristics of the generator.
At present, there are two main methods to study the main air-gap magnetic field. One is the finite element method, which mainly uses the finite element software to analyze the variation law of the main structural parameters and the main air-gap magnetic field parameters, for example, the study [9] used the finite element method to analyze the air-gap magnetic flux density and its Fourier variation parameters of a permanent magnet motor with two rotors, studied the variation law of design parameters and air-gap magnetic flux density, and obtained the optimal stator parameters. In [10], the influence of the coupling effect of permanent magnet linear motor on the air-gap magnetic field was analyzed by finite element method, and the key parameters were analyzed and optimized. The other research method for the main air-gap magnetic field is the equivalent magnetic circuit method, which method analyzes the influence of different structures on the main air-gap magnetic field by establishing a simple equivalent model. For example, in [11], the equivalent magnetic circuit model of permanent magnet linear motor considering magnetic saturation effect was derived. The expression of main magnetic flux was calculated, and the model was verified and calibrated by experiments. Ref. [12] established an equivalent magnetic circuit model by analyzing the change of air-gap reluctance of a switched reluctance motor at different rotor positions and analyzed the output performance of the motor. This method can analyze the magnetic circuit distribution law of different topologies, but most usually use simple reluctance and magnetic conductivity as parameters, and the accuracy is limited. Even if the test method is used for correction as in [10], it cannot adapt to the motors of other sizes.
Therefore, some scholars began to study the detailed rotor magnetomotive force (MMF) model and substitute it into the equivalent magnetic circuit model to improve the accuracy. Rotor MMF is the MMF that the rotor magnetic field can provide for the main air gap. It is the main target parameter of rotor magnetic circuit design and is mainly used for the analysis of rotor magnetic field. Rotor MMF was used to calculate the main air-gap magnetic field in the early stage. Some scholars calculated the main air-gap magnetic field as the product of the rotor MMF function and the main air-gap length function [13]. Then, the rotor MMF was used to assist in calculating the electromagnetic parameters and related parameters of the generator, such as main air-gap magnetic flux, induced electromotive force and its harmonics, and mutual inductance between rotor and stator magnetic circuit. For example, Ref. [14] proposed an equivalent magnetic circuit model of a single rotor circuit of a doubly fed induction motor, took the spatial harmonic of rotor MMF as the influence parameter of rotor magnetic field quality into the model, and calculated the spatial processes of self-induction, mutual inductance, and back electromotive force of generator. Ref. [15] studied the changes of rotor MMF and its harmonics with different stacking addenda of PMS in rotor core of the built-in multilayer PMG. Then, it analyzed the stator iron loss law based on the optimization of rotor MMF. In [16], the rotor MMF of hybrid excitation salient pole motor was derived based on the principle of minimum reluctance. Based on this, the magnetic permeability function of the main magnetic field considering nonuniform air gap was calculated by using the equivalent magnetic circuit method. At present, the research on rotor MMF still focuses on the simple equivalent methods of magnetic conductivity and reluctance and less on the analytical calculation of magnetic circuit distribution [17–22]. However, the rotor structure parameters directly affect the magnitude of the rotor MMF, so it is necessary to find out the relationship between them. On this basis, this paper deduced the analytical expression of the rotor MMF of the built-in radial PMG in detail, analyzed the influencing factors in the analytical expression, and took a 3-phase 8-pole 36-slot built-in radial PMG as an example to analyze the influence rules of the rotor parameters on the rotor magnetic field and main air-gap magnetic field.
2. Equivalent Magnetic Circuit Analysis and Analytical Expression of Rotor MMF
Taking a 3-phase 8-pole 36-slot radial PMG as an example, its technical indicators are shown in Table 1. In this generator, the PMSs are evenly embedded in the rotor core in the radial direction, and to reduce the magnetic leakage at both ends of the PMS, magnetic separation slots are set at both ends. In addition, the rotor is laminated and welded with 0.5 mm silicon steel sheets in order to reduce eddy current loss. The generator structure and the rotor punching are shown in Figure 1, and the magnetic circuit of the main flux and leakage magnetic flux is shown in Figure 2.
Table 1
The technical indicators of the generator.
Main parameters | Parameter value |
Rated power | 1000 W |
Rated voltage | 14 V |
Rated speed | 4000 r/min |
Cooling mode | Self-cooling fan IC01 |
Working temperature | -40°C~75°C |
[figures omitted; refer to PDF]
[figure omitted; refer to PDF]
As shown in Figure 2, the main flux of the generator passes through the rotor core of the two poles and the PMS. Then, it passes through the main air gap and the stator core to form a circuit, whereas the leakage magnetic flux mainly passes through the two ends of the PMS and forms a loop through the rotor core. According to the magnetic circuit analysis, the equivalent magnetic circuit diagram is drawn and shown in Figure 3.
[figure omitted; refer to PDF]
In Figure 3, the magnetic field of PMS is equivalent to the series connection of permanent magnetic MMF and internal permeance. And in Figure 3,
[figure omitted; refer to PDF]
When the built-in radial PMG expands along the outer diameter of the rotor in the circumferential direction and ignores the influence of the stator slot, the distribution of the rotor MMF is shown in Figure 5.
[figure omitted; refer to PDF]
In Figure 5, the coordinate axis
The Fourier decomposition of
The amplitude of the rotor MMF
Considering the leakage magnetic flux at the ends of the PMS, the intersection point between the inner radial edge of the PMS and the connecting line between the top vertex of the end of the PMS and the rotor center is taken as the dividing point of the leakage magnetic flux and the main magnetic flux, and it can be seen in Figure 2. The part between the dividing points on both sides of PMS is recorded as the effective calculation length of PMS
According to the geometric relationship, the radial effective calculation length of PMS
Taking one-fourth of the effective radial calculation length of the PMS as the equivalent calculation point of the rotor magnetic potential and according to the geometric relationship, the magnetic circuit length
In Figure 2, the intersection
The length of magnetic circuit
Therefore, the MMF of rotor core
The MMF of PMS
Taking the above formula into Equation (3), the amplitude of the rotor MMF
Taking Equation (11) into Equation (2), the Fourier decomposition of
According to Equation (12), the main influencing parameters of the rotor MMF of the built-in radial PMG are the magnetic induction intensity of PMS
3. Influencing Rules of Rotor Parameters on Rotor MMF
3.1. The PMS Materials
There are many kinds of PMS materials used in vehicle generators, and the properties are quite different. Presently, three types of PMS materials are widely used: the ferrite PMS material, the rare earth cobalt PMS material, and the neodymium iron boron (Nd-Fe-B) PMS material [23]. Their main magnetic properties are shown in Table 2.
Table 2
The main magnetic properties of PMS materials.
Name | Model number | Magnetic induction strength (T) | Maximum coercivity (kA/m) | Maximum magnetic energy product (kJ/m3) |
Ferrite PMS material | Y30 | 0.4 | 210 | 30 |
Rare earth cobalt PMS material | XG196/96 | 0.96 | 690 | 183 |
Nd-Fe-B PMS material | NdFe35 | 1.17 | 868 | 287 |
Taking a 3-phase 8-pole 36-slot built-in radial PMG as an example, the outer diameter of the stator is 140 mm, the inner diameter of the stator is 105 mm, the axial length of the stator is 30 mm, the main air-gap length is 0.4 mm, and the inner diameter of the rotor is 20 mm. Using the three kinds of PMS materials, the generator simulation model is established and simulated. The rotor MMF is calculated as the product of the rotor magnetic flux of each pole and the reluctance of the main magnetic circuit of the rotor. The rotor magnetic flux of each pole can be calculated by the field processor of the finite element software. The calculated results of rotor MMF with different PMS materials are shown in Figure 6, and the no-load induction electromotive force (NLIEF) waveforms are shown in Figure 7.
[figure omitted; refer to PDF]
Figure 6 shows that the rotor MMFs with different PMS materials are quite different. Among them, the maximum value is 367.39 A, which uses the Nd-Fe-B PMS material. A little lower is rare earth cobalt PMS material. And the minimum value is 81.36 A, which uses the ferrite PMS material. It can also be seen from Figure 7 that the maximum value of NLIEF produced by rare earth cobalt PMS material can reach 50 V, which can meet the requirement of rated voltage 14 V. Meanwhile, rare earth cobalt PMS material is cheaper than Nd-Fe-B PMS material and therefore becomes the best PMS material in this paper.
3.2. The Thickness of PMS in Magnetizing Direction
Using the finite element model, change the thickness of PMS in magnetizing direction
[figure omitted; refer to PDF]
Figure 8 shows that with the increase of the thickness of PMS in magnetizing direction
3.3. The Vertical Length of the Inner Side of PMS
When the vertical length of the inner side of PMS
[figure omitted; refer to PDF]
As shown in Figures 10 and 11, with the increase of vertical length of the inner side of PMS, the rotor MMF and the peak of NLIEF waveform increase. However, if
3.4. The Effective Calculation Length of PMS
When the effective calculation length of PMS
[figure omitted; refer to PDF]
As shown in Figures 12 and 13, with the increase of the effective calculation length of PMS
3.5. Multiparameter Optimization Analysis
Taking the thickness of PMS in magnetizing direction, the vertical length of the inner side of PMS, and the effective calculation length of PMS as optimization parameters, the multiparameter optimization analysis of rotor MMF is carried out by finite element software. Each parameter analysis value is set up to refer to the above optimization results, and all parameters are subdivided into 27 groups, as shown in Table 3.
Table 3
Grouping table of optimization parameters.
Group number | Group number | ||||||
1 | 4 | 44 | 24 | 15 | 4.3 | 44.2 | 26 |
2 | 4 | 44 | 25 | 16 | 4.3 | 44.4 | 24 |
3 | 4 | 44 | 26 | 17 | 4.3 | 44.4 | 25 |
4 | 4 | 44.2 | 24 | 18 | 4.3 | 44.4 | 26 |
5 | 4 | 44.2 | 25 | 19 | 4.6 | 44 | 24 |
6 | 4 | 44.2 | 26 | 20 | 4.6 | 44 | 25 |
7 | 4 | 44.4 | 24 | 21 | 4.6 | 44 | 26 |
8 | 4 | 44.4 | 25 | 22 | 4.6 | 44.2 | 24 |
9 | 4 | 44.4 | 26 | 23 | 4.6 | 44.2 | 25 |
10 | 4.3 | 44 | 24 | 24 | 4.6 | 44.2 | 26 |
11 | 4.3 | 44 | 25 | 25 | 4.6 | 44.4 | 24 |
12 | 4.3 | 44 | 26 | 26 | 4.6 | 44.4 | 25 |
13 | 4.3 | 44.2 | 24 | 27 | 4.6 | 44.4 | 26 |
14 | 4.3 | 44.2 | 25 |
Three parameters with different values are input into finite element software for parametric simulation, the rotor MMFs of different groups are obtained, and its histogram is drawn in order from big to small, as shown in Figure 14.
[figure omitted; refer to PDF]
Figure 14 shows that the rotor MMF varies with the different combinations of rotor parameters. And the first six groups of high rotor MMF, including group 20, group 21, group 23, group 24, group 26, and group 27, are selected to analyze the NLIEF waveform as shown in Figure 15.
[figure omitted; refer to PDF]
Figure 15 shows that the NLIEF waveforms of group 21, group 24, and group 27 almost overlap, as well as group 20, group 23, and group 26. The peaks of NLIEF waveforms in the second overlap group are slightly lower than those in the first overlap grouping, but the smoothness of the curve increases, the distortion rate at the top of the peak decreases, and the sinusoidal property of the whole curve increases. Therefore, group 20, group 23, and group 26 have higher application values. And the data analysis of these three groups shows that only the vertical lengths of the inner side of PMS are different, which are 44 mm, 44.2 mm, and 44.4 mm, respectively. Because the larger the vertical length of the inner side of PMS, the closer the PMS is to the outer circle of the rotor and the lower the structural strength of the rotor. Therefore, the design parameters of group 26 are selected as the optimal design parameters.
4. The Analysis of Optimization Results
After optimization and analysis, the optimized rotor pole parameters are shown in Table 4. The finite element simulation model is established and simulated by using the optimized parameters, and the comparison of the NLIEF curves before and after optimization is shown in Figure 16.
Table 4
The optimized rotor pole parameters.
Main parameters | Parameter values |
PMS material | Rare earth cobalt PMS material (XG196/96) |
The thickness of PMS in magnetizing direction | 4.6 mm |
The vertical length of the inner side of PMS | 3.6 mm |
The effective calculation length of PMS | 25 mm |
Figure 16 shows that the peak value of the NLIEF waveform of the optimized PMG is obviously improved, the smoothness of the peak top is improved, and the sinusoidal property is enhanced. The rotor MMFs before and after optimization are 291.72 A and 321.84 A, respectively, which increases by 10.3% after optimization. This will effectively increase the magnetic flux density in the main air gap and improve the output performance of the generator.
To verify the effectiveness of finite element simulation, the prototype is trial produced with the optimized parameters, and the bench test is carried out with the generator performance test bench. The test bench is shown in Figure 17, and the comparison of NLIEF waveforms obtained by the test and the finite element simulation is shown in Figure 18.
[figure omitted; refer to PDF]
It can be seen from Figure 18 that the peak value of the NLIEF waveform in the test is slightly lower than the simulation result, but the NLIEF waveform is basically the same. Therefore, the finite element analysis result is effective.
5. Conclusions
In this paper, the analytical expression of the rotor MMF of the built-in radial PMG is derived in detail, and the main influence parameters are analyzed. Moreover, the variation rules of rotor MMF with the PMS material, the thickness of PMS in magnetizing direction, the vertical length of the inner side of PMS, and the effective calculation length of PMS are analyzed to optimize the rotor parameters of a 3-phase 8-pole 36-slot built-in radial PMG. After optimization, the rotor MMF increases by 10.3%, the main air-gap flux density increases significantly, the sinusoidal character of NLIEF becomes better, and the output characteristics of the generator improve obviously.
Acknowledgments
This research work is partially supported by the National Natural Science Foundation of China (Grant Nos. 518753270 and 51975340).
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Abstract
Permanent magnet generator (PMG) for vehicles has attracted more and more attention because of its high efficiency, high power density, and high reliability. However, the weak main air-gap magnetic field can affect the output performance and the normal use of electrical equipment. Aiming at the problem, this paper took the rotor magnetomotive force (MMF), the direct influencing parameter of the main air-gap magnetic field, as the research object, deduced the analytical expression of rotor MMF of the built-in radial PMG in detail, and analyzed its main influencing factors in analytical expression, including the permanent magnet steel (PMS) material, the thickness of PMS in magnetizing direction, the vertical length of the inner side of PMS, and the effective calculation length of PMS. Based on this, the rotor parameters were optimized to obtain the best values. After that, the finite element simulation and prototype test of the optimized generator were carried out. The comparative analysis results showed that the optimized rotor parameters could effectively improve the rotor MMF and optimize the output performance of the generator.
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Details

1 School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255049, China
2 Technology Department, Shandong Tangjun Ouling Automobile Manufacture Co., Ltd., Zibo 255185, China