1. Introduction
Electric vehicles driven by four in-wheel electrical machines make the traction system more simplified and flexible [
1]. In the limited volume, the yokeless and segmented armature (YASA) axial flux machine is capable of producing larger torque compared with radial flux machines [
2,
3,
4,
5]. The yokeless segmented stator core and the centralized short-distance windings make it more efficient and give it a higher power density [
6,
7]. Therefore, YASA machines are potential candidates for in-wheel traction applications.
It is well-known that losses cause the temperature rise of electrical machines, which can weaken the machine’s performance and even damage electrical machines [
8]. The insulation system of armature winding and thermal characteristics of the permanent magnet limits the maximum temperature of the electrical machines. The YASA machines feature a high power density, which means a high loss density as well [
9,
10]. When machines produce the peak torque under the peak current, a high copper loss is generated, making the winding temperature rise rapidly. That challenges the insulation system of the electrical machine. To ensure the reliability of the YASA machine, the thermal performance should be thoroughly considered [
11,
12].
There are three typical methods for the thermal analysis of YASA machines, i.e., the computational fluid dynamics (CFD) method, the finite element (FE) method, and the lumped parameter thermal network (LPTN) method [
13,
14,
15,
16,
17,
18,
19,
20,
21]. The CFD method can calculate the convective heat transfer coefficients, which are significant in electrical machine design [
1,
13]. However, the CFD model is usually complicated, which means it requires several days or even a week to establish and calculate the thermal model [
14]. In [
15], a novel stator cooling structure is introduced to improve the temperature distribution of the YASA machine, and the CFD method verifies the proposed cooling structure. The CFD method is applied in [
16] to calculate an innovative water-cooling system for the YASA machine. The FE method can obtain an accurate temperature distribution, but it requires several hours to calculate the model and the boundary processing is complicated and difficult [
17,
18]. In [
17], both analytical and experimental investigations into the air-cooling of a YASA motor for in-wheel traction are presented. In [
18], a stator heat extraction system for YASA machines is introduced and modeled, and the thermal analysis is calculated by the FE method. The LPTN method divides the electrical machine into several nodes corresponding to the machine components and the heat-source distribution [
19,
20], which can guarantee the analysis accuracy while keeping it fast compared with the CFD and FE methods. For machines with complex structures, accurate temperature distribution can be quickly obtained by LPTN. Therefore, this paper only focuses on a LPTN model of the YASA machine.
To the best of our knowledge, only a few papers have used the LPTN method to compute the temperature distribution of YASA machines. For example, in [
21], the short-time duty and the intermittent duty of a 4 kW YASA machine are calculated based on the LPTN method. In [
22], a lumped parameter T-type thermal network model is applied to the YASA machine temperature calculation, but it mainly focuses on the calculation of core loss rather than the total losses. In [
23], a 3D LPTN model is developed and experimentally validated, where the air-cooling channels between permanent magnets on the rotor plates are also considered. However, it only constructs the thermal models of the stator (including the armature winding and stator core) and rotor without considering the other components of the YASA machine. The main technical contribution of this paper is to use the LPTN method to construct a detailed thermal model for the YASA machine including all components. The temperature distribution of the YASA machine is obtained rapidly and accurately by considering the losses calculated by the FE method. The LPTN model can provide a reference for the thermal analysis of YASA machines, which not only ensures the thermal reliability of the machine, but also saves time and calculation resources in the machine design phase.
This report is arranged as follows: In
Section 2, the topology of the YASA machine is introduced, and the corresponding design parameters are listed. Then, in
Section 3, the detailed thermal model of the YASA machine is established, and the corresponding thermal resistance of all components is deduced. To obtain the temperature distribution, the calculated losses are introduced into the entire thermal model of the YASA machine, as described in
Section 4. After that, in
Section 5, the prototype test proves the accuracy of the thermal network model. Finally, this paper is concluded in
Section 6.
3. Construction of the LPTN Model
In this section, the LPTN models of different components of the YASA machine are constructed. Generally, there are three main parts taken into account, i.e., the stationary part, the rotating part, and the YASA machine assembly. The thermal model of the YASA machine involves many parameters (including geometric parameters and heat transfer coefficients). The geometric parameters of the YASA machine are determined by the intelligent optimization algorithm in the machine design process. Additionally, the heat transfer coefficients are identified by fine-tuning against simple test data through a genetic algorithm [
24].
3.1. Thermal Model of the Stationary Part
In this subsection, the thermal model of the stationary part is introduced, which includes the armature winding, stator core, support frame, and shaft.
3.1.1. Armature Winding
The armature winding is the main heat source, especially when operating at peak torque with peak current. The heat dissipation of the armature winding is difficult, because the winding is in the middle of the YASA machine. Additionally, the winding is relatively dispersed, resulting in uneven temperature distribution. Hence, it is difficult to build a detailed thermal model.
This paper uses the layered winding model from [
25], in which the coil of the armature winding is regarded as a uniform heat conduction material. The actual thermal conductivity is replaced by an equivalent thermal conductivity
kwd.
The armature winding includes the outer end-winding, inner end-winding, and slot-winding.
Figure 3 shows the specific position of the armature winding. Each section of the armature winding is represented in
Figure 4. The numbers in
Figure 4 correspond to those marked in
Figure 3.
For both the inner and outer end-winding, axial thermal resistances (
Rwo−y,
Rwoy−air,
Rwo−ya,
Rw−y) and radial thermal resistance (
Rw−x) are considered. Since the axial cross-section of the end-windings remains unchanged, the axial thermal resistances are approximately constant. The radial thermal resistance changes with the radius. For instance, the axial thermal resistance of the outer end-winding is
where
Lwo−y is the distance of adjacent nodes at the outer end-winding, and
Swo−y is the area of the corresponding region between nodes, as shown in
Figure 4.
Between the outer end-winding and inner-air (including the air gap and air inside the YASA machine), there are axial thermal resistances
Rwoy−air and
Rwo−ya.
where
Rwo−ya is the convective thermal resistance and
kwdout is the equivalent convective heat transfer coefficient.
Similarly, the cross-section of slot-winding is constant. The thermal resistances of the slot-winding (including the axial thermal resistance
Rw−y and radial thermal resistance
Rw−x) are regarded as unchanged. The expressions follow:
where
Wwd and
Hwd represent the width and height of slot-winding, respectively.
Ls is the difference between the outer and inner radius of the stator core.
When calculating the thermal resistance
Rwdsc between the slot-winding and stator core, the thermal resistance of slot insulation should be taken into account:
where
Rlx−s is the thermal resistance of the slot insulation,
Wl is the equivalent thickness of the slot insulation,
kl is the equivalent thermal conductivity of the slot insulation, and
Rscx is the thermal resistance of the stator core along the
x-axis. In addition, there are thermal resistances
Rwc1 and
Rwc2 between the slot-winding and both end-windings, respectively, as shown in
Figure 4.
3.1.2. Stator Core
The complete thermal model of the stator is shown in
Figure 5. It should be noted that the thermal model of the armature winding and segmented stator core can be consolidated into a single node [
19].
Rciax and
Rciay are the equivalent thermal resistance of the armature winding along the
x-axis and
y-axis, respectively.
Rlx is the thermal resistance of the slot insulation.
Rwia is the convective thermal resistance between the armature winding and inner-air.
Pw,slot and
Cw,slot represent the loss and heat capacity of the 1/4 slots, respectively.
Psc,slot and
Csc,slot represent the loss and heat capacity of the 1/2 stator core, respectively. The heat capacity is defined as follows:
where
mx and
cx are the mass and heat capacity, respectively.
Rscx and
Rscy are the thermal resistances of the stator core along the
x-axis and
y-axis, respectively. The calculations are as follows:
where
Wst and
Hst are the width and height of the stator core, respectively, and
kiron is the thermal conductivity of the stator core.
Owing to the symmetrical structure,
Figure 5 can be further simplified to
Figure 6.
Figure 6 is the thermal model of the stator core, which constitutes the entire thermal model of the YASA machine (discussed in
Section 3.3).
Pw and
Cw represent half of the copper loss and heat capacity.
Psc and
Csc represent half of the stator core loss and heat capacity. The convective thermal resistance between the stator core and inner-air present is
Rscia.
3.1.3. Support Frame
The segmented stator core is shown in
Figure 7a. In
Figure 7b, there are matched cages on both sides of the segmented stator cores for support. The cages are connected by a circular connector with a support frame.
The thermal model of the support frame is shown in
Figure 8. The support frame connects with the stator core and shaft. The thermal resistance between the support frame and stator core is
Rscsu, as shown in
Figure 6. The thermal resistance between the support frame and shaft is
Rsush. In addition, there is thermal resistance
Rsuia between the support frame and inner-air. The calculation equations follow:
where
lscsu is the tolerance clearance between the support frame and stator core,
lsush is the tolerance clearance between the support frame and shaft,
Sscsu is the area of the tolerance clearance between the support frame and stator core,
Ssush is the area of the tolerance clearance between the support frame and shaft, and
kair is the thermal conductivity of air.
Rsui and
Hsu are the inner radius and height of the connector.
3.1.4. Shaft
Figure 9 shows the thermal model of shaft, where
Rshz1 represents the radial thermal resistance from the support frame to shaft,
Rshz2 is the radial thermal resistance from the shaft to bearing,
Rshy1 is the axial thermal resistance between the shaft and bearing,
Rshy2 is the axial thermal resistance from the bearing to shaft end,
Rshso is convective thermal resistance between the shaft and surroundings. Additionally, there is convection thermal resistance
Rshia between the shaft and inner-air. The thermal resistances are calculated as follows:
where
ksh is the thermal conductivity of the shaft,
kshso is the convective heat transfer coefficient between the shaft and surroundings, and
Hbe is the height of the bearing. The other structural parameters are defined in
Figure 10.
3.2. Thermal Model of the Rotating Part
In this subsection, the thermal model of the rotating part is introduced, which includes the permanent magnets, bearing, rotor core, and housing.
3.2.1. Permanent Magnet
Figure 11 shows the thermal model of the permanent magnet, where
Rmia is the convective thermal resistance between the permanent magnet and inner-air,
Rmy is the axial thermal resistance of the permanent magnet,
Rmrc is the thermal resistance between the permanent magnet and rotor core, and
Rrcy is the axial thermal resistance of rotor core.
The equations of
Rmy,
Rmcr and
Rrcy follow:
where
Hm and
Hrc are the thicknesses of the permanent magnet and rotor core, respectively.
Sm,
Src is the radial cross-section area of the permanent magnet and rotor core, respectively;
km,
krc is the thermal conductivity of permanent magnet and rotor core, respectively. The tolerance clearance between the permanent magnet and rotor core is
lmr;
rrco,
rrci is the outer and inner radius of the rotor core, respectively. The components of the machine cross-section are illustrated in
Figure 12.
3.2.2. Bearing
The bearing connects the stationary part and the rotating part.
Figure 13 shows the thermal model of the bearing.
Pb represents the friction loss of the bearing. A part of the heat transfers from the bearing to the rotor core and is dissipated.
Rshb is the thermal resistance between the bearing and shaft, as shown in
Figure 9.
Rbrc is the thermal resistance between the bearing and rotor core, as shown in
Figure 13. The equations follow:
where
rbo and
rbi are the outer and inner radius of the bearing, respectively, and
kbe is the equivalent thermal conductivity of the bearing.
Rrcz1 is the thermal resistance of the rotor core. Assuming the rotor core and the permanent magnet are the same distance to the shaft, then:
where
rrcma is the distance from the permanent magnet to the shaft center,
Rrci is the inner radius of the rotor core, which is equal to the outer radius of the bearing,
Hrc is the height of the rotor core, and
krc is the thermal conductivity of the rotor core.
3.2.3. Rotor Core
The eddy current loss of the rotor core is calculated by the FE method.
Figure 14 shows the thermal model of the rotor core, which contacts the inner-air and surroundings directly.
Rrcia is the convective thermal resistance between the rotor core and inner-air,
Rrcso is the convective thermal resistance between the rotor core and surroundings,
Rrcz2 is the thermal resistance of the rotor core, and
Rhy is the axial thermal resistance of the housing. The calculation formulae follow:
where
krci is the convective heat transfer c between the rotor core and inner-air, and
krcso is the convective efficient heat transfer coefficient between the rotor core and surroundings.
Srcia is the contact area between the rotor core and inner-air,
Srcso is the contact area between the rotor core and surroundings;
rmo and
rmi are the outer and inner radius of the permanent magnet, respectively;
rho and
rhi are the outer and inner radius of the housing, respectively;
Hh is the height of the housing; and
kh is the thermal conductivity of the housing.
3.2.4. Housing
There is heat convection between the inner surface of the housing and inner-air. The outer surface contacts with the surroundings, which dissipate heat directly.
Figure 15 shows the thermal model of the housing.
Rhz is the radial thermal resistance of housing,
Rhia is the convective thermal resistance between the housing and inner-air, and
Rhso is the convective thermal resistance between the housing and surroundings. The formulas follow:
where
khia is the convective heat transfer coefficient between the housing and inner-air,
khso is the convective heat transfer coefficient between the housing and surroundings,
Shia is the contact area between the housing and inner-air, and
Shso is the contact area between the housing and surroundings.
3.3. Entire Thermal Model of the YASA Machine
Based on the thermal models of all the components described above, the entire thermal model of the YASA machine can be obtained by simply integrating all of them, as shown in
Figure 16. The thermal model of each component marked with different colors is connected by thermal resistances (including conduction thermal resistance and convective thermal resistance). Between the shaft and the supporting frame, there is the conduction thermal resistance
Rsush. The thermal model of the bearing and shaft is connected by the thermal resistance
Rshb. The permanent magnet adheres to the rotor core, so there is the conduction thermal resistance
Rmrc. Additionally, there are the convective thermal resistances (including
Rmia,
Rscia/
Q, and
Rwia/
Q) of the YASA machine between the permanent magnet, stator core, armature winding, and inner-air. These thermal resistances are calculated by the formulae given above.
4. Parameter Calculation of the Thermal Network Model
In this section, the losses of the YASA machine (including the armature winding loss, stator core loss, rotor core loss, permanent magnet eddy current loss, and mechanical loss), the thermal resistance of the air gap, and convective heat transfer coefficient on the hub surface are calculated. Finally, the detailed temperature distribution of the YASA machine is obtained.
4.1. Losses Calculation
The copper loss is calculated by
where
m is the phase number,
Rs is the phase resistance, and
Is is the effective value of phase current.
The core loss separation model proposed by Italian scholar Bertotti [
26] is widely used. It mainly includes hysteresis loss, classical eddy current loss, and excess loss:
The core loss is related to magnetic flux density. When the magnetic flux density changes sinusoidally and remagnetization is adopted, Equation (39) can be simplified as
where
Kh,
Kc, and
Ke are the coefficient of hysteresis loss, eddy current loss, and excess loss, respectively;
f is the electrical frequency and
Bm is the amplitude of magnetic flux density.
Eddy current loss of the rotor core and permanent magnet can be calculated by
where
σ is the conductivity,
J is the eddy current density, and
V is the volume of the component.
Mechanical loss includes bearing loss
Pb and wind friction loss
Pwind. The formula follows:
where
kfb is an empirical coefficient, which in the range 1–3 m
2/s
2;
mr,
msh is the mass of rotor and shaft, respectively;
ns is the rotating speed.
where
ωs is electric angular speed;
Vair is the dynamic viscosity of air, taken as 2 × 10
−5 Pas; and
ρcm is the air density, taken as 1.2 kg/m
3.
Rout is the outer radius of the rotor and
Rsh is the outer radius of the shaft.
4.2. Air Gap Thermal Resistance and Convective Heat Transfer Coefficient on the Hub Surface
The calculation process of the air gap thermal resistance follows four points:
(1) Reynolds number
Reg of the air gap is determined according to machine radius, speed, and dynamic viscosity of the fluid, as shown in Equation (44) [
27].
(2) The fluid types are determined by Reynolds number
Reg, which generally includes laminar flow, transition flow, and turbulent flow [
28].
(3) Determination of the Nusselt constant
Nu is based on Reynolds number
Reg and the air gap ratio
G (
G =
g/
R2, where
g is the distance between the stator and rotor plate,
R2 is the outer radius of the rotating plate), as shown in
Table 2 [
29].
(4) According to this derivation, the air-gap equivalent convective heat transfer coefficient
hg and the air-gap thermal resistance
Rg can be obtained by Formulae (46) and (47).
where
kair is the thermal conductivity of air and
R1 is the inner radius of the rotating plate.
There is no barrier between the end cap and the surroundings, which belongs to heat convection. The convective heat transfer coefficient on the surface of the rotor plate can be obtained by Equation (46).
The average Nusselt constant is obtained from two cases. One is that the airflow type on the surface of the rotor plate is laminar flow, so the average Nusselt constant
Nu1 is calculated by
where
β is the coefficient of thermal expansion;
v is the kinematic viscosity coefficient of the fluid, taken as 1.569 × 10
−5 m
2/s. ΔT is the temperature difference between the rotor plate surface and the surroundings.
The other airflow type is a combination of laminar flow and turbulence:
where
rc is the transition radius.
In addition, with the help of the naphthalene sublimation experiment and analogy theory, the relation between the convective heat transfer coefficient and the speed of the rotor plate is obtained by fitting. This paper refers to this method to obtain the convective heat transfer coefficient of the end cap:
The convective heat transfer between the housing and surroundings is calculated by
where
hp,
Nu2, and
ReD are the convective heat transfer coefficient, average Nusselt constant, and Reynolds number of the rotor plate, respectively.
D2 is the outer diameter of the rotor plate;
Pr is the Prandtl number of the air, taken as 0.703.
The inner-air thermal resistance, the convective heat transfer coefficient between the rotor core and surroundings, and the convective heat transfer coefficient between the housing and surroundings are 0.7568 K/w, 62.8 w/(m2·K), and 47.8 w/(m2·K), respectively.
4.3. Results of the Thermal Network Model
The temperature distribution of the YASA machine can be obtained by the entire thermal network model. The temperature of all the components is listed in
Table 3.
It can be found that the armature winding temperature is the highest and the temperature of the stator core is lower than that of the winding temperature. The lowest temperature is the housing and rotor core. The armature winding is the main heat source of the YASA machine. The stator core and winding are located in the center of the machine, from which dissipation of heat is difficult. The rotor core and the housing are contacted directly by the surroundings, which makes its lower temperature rise. Under the rated condition, the temperature of the permanent magnet is 54.54 °C. The temperature does not exceed the allowable working temperature, which ensures reliable operation.
By setting the laboratory temperature at 20 °C, all components of the YASA machine tend to be stable at 80 min, as shown in
Figure 17.
6. Summary
In this paper, the LPTN model of the YASA machine for in-wheel traction application is developed to calculate the temperature distribution of all components of the YASA machine. The thermal models of all components in YASA machines, including the stationary and rotary components, are simplified based on the symmetrical structure, while the detailed thermal resistance formulae are given. Based on the loss results calculated by electromagnetic FE analysis, the temperature distribution of the YASA machine is obtained. Comparing the calculated and experimental results, the maximum temperature difference is no more than 3.3%, which validates very good accuracy of the proposed thermal model. The proposed method is considered as a good reference for design engineers of YASA machines in the applications of in-wheel traction. In addition, this paper is also beneficial to the research of machine cooling. The advanced cooling technique of the YASA machine applied on in-wheel traction systems will be investigated in a following study.