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J. Electromagn. Eng. Sci > Volume 25(4); 2025 > Article
Cong, Thanh, Minh, Thao, and Quoc: A Combinatory Analytical and Finite Element Approach for Comparing Electromagnetic Performance in IPM and SPM Synchronous Motors

Abstract

Permanent magnet synchronous motors (PMSMs) have been extensively adopted in a range of industrial applications, particularly in the electric vehicle industry, due to their high power and torque density, high efficiency, reliability, and excellent dynamic performance. Between the types of PMSMs, a surface-mounted PMSM (SPMSM) is characterized by identical d- and q-inductances, due to which it only generates magnetic torque. However, SPMSMs also exhibit higher flux density, since the air gap in these motors is smaller and the permanent magnets are located very close to the stator teeth. In contrast, an interior PMSM (IPMSMs) features different d-axis and q-axis inductance components, due to which it can create not only magnetic torque but also reluctance torque. In this paper, two processes are conducted to examine these motors. First, an analytical technique is proposed to design the required parameters for an SPMSM and an IPMSM, where the dimensions of the latter are defined using the fractional-slot concentrated winding configuration, and those of the former are designed based on the approach of keeping the rotor volume, permanent magnet volume, pole–slot combination, and power supply unchanged. Subsequently, a finite element method is presented for computing, simulating, and comparing the electromagnetic parameters of both proposed motors, including their back electromotive force, torque ripple, efficiency, and power factor. Finally, the proposed methods are validated using a 7.5 kW practical motor.

Introduction

In recent times, permanent magnet synchronous motors (PMSMs) have been widely used in various industrial applications owing to their many advantages (high torque and power density, high efficiency, reliability, and stability) [1, 2]. In particular, at low-speed traction applications, PMSMs have gained widespread adoption, such as ship propulsion, lifting, mining, and oil field exploitation [3, 4]. In general, PMSMs can be categorized into two types based on the position of their permanent magnets (PMs) in the rotor structure: surface-mounted PMSM (SPMSM) and interior PMSM (IPMSM). In SPMSMs, PMs are mounted on the surface of the rotor, while in the case of IPMSMs, PMs are embedded inside the rotor. Furthermore, an SPMSM exhibits no difference in its d-axis and q-axis inductances, resulting in no reluctance torque. In other words, SPMSMs can only produce magnetic torque. In contrast, the magnetic flux distribution in IPMSMs depends on d-axis and q-axis reluctances, which occur due to the presence of flux barriers in the rotor [5]. Therefore, an IPMSM can produce both magnetic torque and reluctance torque, which results in a higher torque density and power density than an SPMSM. Along these lines, in [6], an SPMSM was examined to find that it is characterized by a better waveform and fewer harmonic components in the air gap flux density than an IPMSM due to its use of mounted PMs in the rotor configuration, resulting in no-load back electromagnetic force (EMF) that closely resembles a sinusoidal waveform.
Fractional-slot focused winding is a frequently used arrangement for achieving high torque in traction applications [7, 8]. Notably, fractional-slot winding is represented by non-overlapped coils wound around a single tooth and have the number of slots per pole in each phase less than one. Meanwhile, concentrated windings are those in which every coil is wound around a single stator tooth by itself. Such winding provides a number of benefits for low-speed direct drive transmission systems, including low copper loss, a high slot fill factor, low end-turn length, and high efficiency. Moreover, fractional-slot setups also have a few disadvantages compared to complete slot machines, such as a relatively lower winding factor and larger harmonic content in magnetomotive force (MMF) distribution [7, 8]. Therefore, depending on the intended use, the motor’s design must comprise an appropriate number of pole pairs and slots.
In this regard, a kind of torque that is frequently observed in motors that use magnets is cogging torque. Another serious challenge encountered during PMSM operations is the occurrence of a noticeable ripple in the torque waveform, which lowers the motor’s torque quality. Numerous research studies have focused on mitigating cogging torque and torque ripples in PMSM. To increase the number of cogging torque cycles, the authors in [9] first identified an appropriate pole–slot combination and then implemented modifications to the magnet arc and slot opening to obtain the ideal values for these two parameters. The application of this method lowered the cogging torque by 0.62% and raised the average torque by 3.5% compared to the initial design. Furthermore, the motor was subjected to the step rotor skewing procedure in [10, 11]. In [11], the results demonstrated a considerable reduction in both cogging torque and torque ripple compared to those calculated before using the approach. This method involved segmenting the magnet and then selecting distinct skew angles for each PM segment. Notably, the selection of the skew angles determined the motor’s back EMF, cogging torque, and torque ripple performance. Meanwhile, Zhu et al. [12] conducted an analysis of the air gap form in a V-type IPMSM using fractional-slot focused winding for compressed air system applications. Simulations were carried out on the original model (Model I) and two distinct air-gap shaping V-type IPMSMs by generating two types of unevenly distributed air gaps (Model II and Model III). Experiments were done to test characteristics of Model III and compared with the results from simulations. The proposed air-gap shaping techniques significantly minimized stator core loss and torque ripple while also slightly lowering the average torque, as evident from the results of the finite element method (FEM) and experiment test. Furthermore, in [13], four rotor topologies for PMSMs with identical motor sizes and magnet consumption were compared. The findings indicated that delta-shaped and V-shaped IPMSMs achieved maximum output torque owing to their greater salient rates. Additionally, IPMSM outperformed SPMSM in terms of efficiency, demagnetization, and torque ripple. In [14], a comparison of SPMSM and IPMSM was conducted through both numerical and experimental analyses, maintaining the same stator configuration, winding specifications, voltage limit, and pole–slot combination for both motors. The results showed that the SPMSM suffered a larger core loss and eddy current loss than the IPMSM. Moreover, based on an analysis of the no-load electromagnetic parameters, such as the total harmonic distortion (TDH) of the back EMF, cogging torque, and efficiency, among others, IPMSMs were found to be optimal for use in electric vehicle (EV) compressors compared to SPMSMs.
Although many papers have researched SPMSMs and IPMSMs, as well as compared the two motor types, there are some limitations in the calculation processes detailed for the physical dimensions of the motors. In most studies, the authors focused on providing the specifications of the motors, conducting numerical and experimental analyses to define their electromagnetic parameters, validating simulation results, and comparing the performance of the motors.
In this study, a combination of an analytical technique and FEM is employed to compare the electromagnetic parameters of an SPMSM and a V-shaped IPMSM with the same power level of 7.5 kW. First, an analytical model is employed to compute the required dimensions and parameters of the proposed machines while keeping the rotor volume, PM volume, pole–slot combination, and power supply of the two motors unchanged. Next, an FEM is introduced to validate the results of the analytical method and to compare the electromagnetic parameters of the two motors, including their back EMF waveform, output power, torque ripple, efficiency, and power factor. Finally, the rotor step skewing technique is applied to compare the results for cogging torque and torque ripple.

Analytical Background

1. Parameter Computation of the IPMSM

As mentioned in Section I, the PMs of an IPMSM are usually inserted inside the rotor core, which implies that the design of flux barriers plays an important role in the performance of this motor. In this section, the main dimensions of the PMs are computed to define the exact dimensions of the flux barriers. Notably, the other parameters will remain the same for both the SPMSM and the IPMSM. If the magnetic flux caused by PMs flows entirely within the magnetic core, the fringing flux and leakage flux can be neglected. This can be expressed as follows:
(1)
ϕm=Bm.Am=Bg.Ag=ϕg,
where Am and Ag refer to the cross-section of the PM’s magnetic flux and the air gap, respectively, while φg is the magnetic flux in the air gap. Based on Eq. (1), the width of the PM can be defined as follows:
(2)
wm=π(Dor+Dis).Bg8pBm,
where Dis is the inner diameter of the stator, Dor denotes the outer dimension of the rotor, and p refers to the number of pole pairs.
For a closed magnetic circuit, the MMF can be considered zero, i.e.,
(3)
F=H.dl=0.
By applying Eq. (3) to the magnetic circuit, as presented in Fig. 1, one gets the following equation:
(4)
dm=-HmHg.g,
where g is the airgap thickness and dm is the thickness of the PM.
Fig. 2 illustrates the opening angle (β) of the PMs as well as the angle (αV) between two PMs (V-shape) embedded in the rotor. These parameters can be defined in terms of the following formula:
(5)
β=2p.arcsin[wm.(αVDor-2x1)].
Furthermore, the depth of the V-shaped pole can be expressed as follows:
(6)
dp=x1+wm.cos(αV2)+(Dor2-x1)[1-cos(β2)]+dmsin(αV2),
where x1 is the bridge thickness chosen based on the structure of the rotor magnetic core, and dm is obtained from Eq. (4).
Based on the parameter dp, the height of the rotor yoke ) (hry) can be defined as [15, 16]:
(7)
hry=ϕg2.Bry.L.kj-dp.

2. Parameter Computation of the SPMSM

For the SPMSM, the thickness of the PM can be defined using the following equation [1519]:
(8)
dm=μrgeffBgπBr.4sin(α2)-Bgπ,Bg=4πsin(α2)Bm,
where μr is the magnet permeability, α refers to the magnet pole arc, Bg denotes the magnetic flux density in the air gap, Br signifies the remanence of the permanent magnet, Bm refers to the magnetic flux density of the PM, and geff is the effective length of the air gap, as given in [20].
The height of the stator yoke (hsy) and rotor yoke (hry) and the width of the tooth (wt) can therefore be expressed as follows [18]:
(9a)
hsy=Bmwm2Bsykj
(9b)
hry=Bmwm2Brykj
(9c)
wt=2pBmwmQsBtkj,
where kj is the stacking factor of the lamination core, while Bsy, Bry, and Bt are the magnetic loading values of the stator yoke, rotor yoke, and tooth, respectively, which are available in [18].
The vector EMF of a conductor corresponding to the ith element of the winding vector (S) can be expressed per unit as follows [18]:
(10)
El=sign(S(i))ejπ×2p|S(l)/Qs|.
For fractional-slot concentrated winding, the winding factor (kw) can be computed using the following equation:
(11)
kw=|i=12Qs/mEl|2Qs/m,
where m refers to the number of phases.

3. Electromagnetic Parameters of the IPMSM and SPM

In the steady state, stator voltages in the d–q axis are expressed as follows [19, 20]:
(12)
vd=Rid-ωLqiq
(13)
vq=Riq+ωLdid+ωLqiq,
where id and vd are the d-axis components, while iq and vq are the q-axis components, of the armature current and terminal voltage, respectively. Furthermore, R indicates the winding resistance per phase, while Ld and Lq are the inductances.
For the IPMSM, the torque component (T) generated in the motor comprises two components (the magnetic and reluctance torques), defined as follows:
(14)
T=32p[ϕMiq+(Ld-Lq)idiq],
where Ld and Lq are the d-axis and q-axis inductances.
For the SPMSM, Ld = Lq, due to which Eq. (14) can be expressed as:
(15)
T=32pϕMiq.

4. Cogging Torque of the IPMSM and SPM

Cogging torque (Tcog) is one of the main reasons for the generation of vibration and noise in the motor. The expression Tcog can be defined using the following equations [19, 20]:
(16)
Tcog(θ)=W(θ)θ,
where W is the magnetic energy presented as a function of the rotor position angle θ, i.e.,
(17)
W(θ)=12μVB2dV,
where B refers to the total flux density of the motor.
In general, when using an unskewed magnet, the cogging torque can be expressed as follows [19, 20]:
(18)
Tcog_unsk(θ)=πLNL4μo(Rout2-Rin2)Tunsk,
where
(19)
Tunsk=ksin (kNLbso2)sin(kNLαp2p)sin(kNLθ).
To reduce the cogging torque appearing in the motor, a skewing technique is proposed for PM:
(20)
Tcogsk(θ)=2LBσ2QspμoπNL(Rout2-Rin2)Tsk
where
(21)
Tsk=k=1kKsksin (kNLbso2)sin (kNLαp2p)sin (kNL(θ-αs2)),Ksk=2sin (kNLαs2)kNLαs,
where L is the effective axial length of the motor, Bσ denotes the maximum magnetic flux density in the air gap, NL is the lowest common multiple of Qs and 2p, while Rin and Rout are the inner and outer radiuses of the air gap. Furthermore, bso denotes the slot opening, αp indicates the pole-arc to pole-pitch ratio, αs signifies the skewing angle, and Ksk is the skew factor.
To eliminate the k component of the cogging torque, the skewing angle αs must fulfill the following requirement:
(22)
sin (kNLαs2)=0.
Considering that αs denotes the ratio of the skewing angle and the slot pitch angle:
(23)
αss=αs2π/Qs.
Eq. (22) can be expressed as follows:
(24)
sin (kNLαssπQs)=0.
Effectively, αs can then be defined as follows:
(25)
αss=kQsNL(k=1,2,3,,NLQs).
Notably, V-shape skewing offers more advantages than straight skewing owing to its ability to simultaneously eliminate two harmonic orders. In this paper, the straight skewing technique for PMs is applied as the torque ripple of the designed IPMSM archive the desirable value, which can be seen in the next section.

Results and Discussion

In this section, an IPMSM with a V-shape flux barrier is introduced for electromagnetic parameter analysis. Subsequently, a comparison of the IPMSM and the SPMSM is conducted, with the rotor and magnet volumes kept the same. The required parameters for the two motors are shown in Table 1.
The analytical results are presented in Table 2. The FEM embedded in Motor-Cad software will compute and simulate the electromagnetic parameters of the proposed machines based on these parameters. The IPMSM and SPMSM models are depicted in Fig. 3. Furthermore, the skewed PM technique for both motors, maintaining the same skew angle, is depicted in Fig. 4 and presented in the form of three steps in Table 3.
The on-load back EMF results are displayed in Figs. 5 and 6. It is evident that before implementing the skewed PM technique, the back EMF waveform of the SPMSM exhibited high harmonics, with significant amplitude achieved for the 5th and 7th components. In contrast, the IPMSM attained lower harmonic distortion with regard to its back EMF waveform, achieving high amplitude for the 5th, 7th, and 11th components. In this context, the TDH values of the back EMF for the IPMSM and the SPMSM were 6.45% and 15.12%, respectively.
After the implementation of the skewing technique, a considerable reduction in high harmonic components is observed, as shown in Figs. 5(b) and 6(b). The THD values of the two motors in this case were 1.43% and 2.7%, indicating a reduction of 5.02% and 12.42%, respectively, compared to the previous case. These outcomes demonstrate the effectiveness of the skewed PM technique.
Because the PMs are mounted on the surface of the rotor in an SPMSM, the path of the magnetic flux from its PMs to the stator magnetic core is smaller than in the case of the IPMSM. Furthermore, the combination of the convex part of magnet poles and the concave part in the middle space of the magnets enables a better waveform and greater fundamental component in its on-load air gap flux density, as shown in Fig. 7. Notably, since we studied the radial flux motor, only the radial flux density waveforms are presented.
The values obtained for flux density in various parts of the motors is presented in Table 4. Note that only a pole pair view of the finite element mesh and flux density distribution are presented owing to the symmetry of the motors. The results attained from analyzing the losses of the motors are noted in Table 5. It is observed that the IPMSM has more turns than the SPMSM, which led to a larger value of 178.7 W for its DC copper loss—more than 15.6 W compared to the DC copper loss of 163.1 W obtained for the SPMSM. As mentioned before, since the PMs of the SPMSM are mounted on the surface of the rotor, the eddy current loss on the PM is greater and more complex in the case of the SPMSM than in the IPMSM. In addition, due to the larger magnetic flux entering the stator core from the air gap, the SPMSM experiences a higher stator iron loss than the IPMSM. However, due to the high flux density in the bridge areas, the rotor iron loss of the IPMSM is preferable over that of the SPMSM. Overall, the total losses of the two motors were observed to be almost the same, exhibiting a negligible difference of 4 W.
Fig. 8 illustrates the electromagnetic parameters (efficiency, power factor, output torque, reluctance torque, torque ripple, and output power). In Fig. 8(a), the efficiency and power factor reach maximum values of 95.828% and 1 at phase advance angles of 24 and 29 degrees, respectively. This increase in the phase advance angle implies an increase in the q-axis current, which results in an upsurge in reluctance torque, as presented in Fig. 8(b). However, upon reaching a certain value of q-axis current, the magnetic flux from the PMs began to weaken, leading to a decline in the alignment torque. Moreover, the reduction in alignment torque outweighed the increase in reluctance torque, leading to a decrease in the overall output torque of the motor. Meanwhile, the cogging torque remained unchanged even when the phase advance angle varied. As a result, as depicted in Fig. 8(c), the torque ripple initially exhibited a gradual decline, followed by an increase resulting from the variation in output torque. Based on the changes mentioned above, it is evident that the best IPMSM performance could likely be achieved by controlling the appropriate value of the phase advance angle for each working condition. Finally, the output power of the motor also exhibited a gradual decline, as shown in Fig. 8(d).
The output results are provided in Table 6, indicating that with the volume of the magnet, rotor dimensions, and design parameters kept the same, IPMSM offers better output power and output torque than SPMSM. The output power of the IPMSM is 7,564 W, which is considerably more than the 7,206 W achieved by the SPMSM. Furthermore, the shaft torque attained by the IPMSM is 48.2 Nm—higher than the desirable value of 47.75 Nm—while the SPMSM does not meet the expected torque requirements. As for the power factor, the axis inductance values of the SPMSM are usually quite small, while the addition of flux barriers to the rotor in the IPMSM makes its axis inductances larger. For these reasons, the value of the power factor is larger for the SPMSM than for the IPMSM. However, by controlling the phase advance angle, the IPMSM could not only attain an increase in the power factor but also offer excellent performance for the other parameters, as investigated in this study. For the initial design with a phase advance angle of 15 degrees, the power factor of the IPMSM was 0.972, while that achieved by the SPMSM was slightly higher at 0.982.

Conclusion

In this research, a novel method for the analytical calculation of IPMSMs and SPMSMs is proposed. Based on the analytical technique, a V-shape IPMSM with 7.5 kW power was first examined, following which the values for an SPMSM with the same rotor dimensions, PM volume, and pole–slot combination were computed to verify the analytical parameters of the two proposed motors. Subsequently, the analytical results were considered the required parameters to simulate electromagnetic parameters for the motors via the FEM. The results showed that the SPMSM achieved lower torque and power densities, as well as higher torque ripple, than the IPMSM. Furthermore, the IPMSM exhibited the ability to change the phase advance angle—the value of the q-axis current component—to achieve better performance compared to the SPMSM. In terms of design optimization control, the IPMSM achieved excellent results with regard to its electromagnetic parameters, including output power, output torque, efficiency, power factor, and torque ripple. Meanwhile, the SPMSM attained a higher power factor, low harmonic components in the back EMF waveform, and featured a simpler structure than the IPMSM. Overall, the advantages and disadvantages of IPMSM and SPMSM should be accounted for when making a choice regarding the appropriate machine to use for specific industry applications.

Notes

This study was supported in part by the SDGs Research Project of Shimane University.

Fig. 1
Model of a magnetic circuit.
jees-2025-4-r-307f1.jpg
Fig. 2
Dimensions of the IPMSM rotor.
jees-2025-4-r-307f2.jpg
Fig. 3
Model of the two motors: (a) IPMSM and (b) SPMSM.
jees-2025-4-r-307f3.jpg
Fig. 4
A 3D view of the skewed PMs: (a) IPMSM and (b) SPMSM.
jees-2025-4-r-307f4.jpg
Fig. 5
Back EMF waveform: (a) before skewing the PM and (b) after skewing the PM.
jees-2025-4-r-307f5.jpg
Fig. 6
Harmonic components of the on-load back EMF: (a) before skewing and (b) after skewing.
jees-2025-4-r-307f6.jpg
Fig. 7
Radial air gap flux density waveform (a) and harmonic orders (b).
jees-2025-4-r-307f7.jpg
Fig. 8
Dependence on the phase advance angle: (a) efficiency and power factor, (b) output torque and reluctance torque, (c) average torque ripple, and (d) output power.
jees-2025-4-r-307f8.jpg
Table 1
Initial parameters of PMSM
Parameter Value
Power (W) 7,500
DC bus voltage (V) 500
Number of phases 3
Number of slots 15
Number of pole pairs 5
Torque (Nm) 47.75
Frequency (Hz) 125
Table 2
Analytical results of SPMSM and IPMSM
Parameter SPMSM IPMSM
Outer stator diameter (mm) 182 186
Inner stator diameter (mm) 120.2 120.2
Slot top width (mm) 120.2 120.2
Slot bottom width (mm) 21.3 22
Slot height (mm) 14.2 14.3
Wedge height (mm) 16.8 18.2
Slot opening height (mm) 2 2
Slot opening width (mm) 1 1
Tooth width (mm) 5 5
Air gap length (mm) 12.26 12.15
Rotor length (mm) 1 1
Magnet bar width (mm) 15.8
Magnet thickness (mm) 3.8 3.8
Bridge thickness (mm) 1
V angle (deg) 120
Magnet pole arc (edeg) 158 136.2
Shaft diameter (mm) 88.3 85.4
Number of turns 19 21
Table 3
Skew angles
Slice Proportional length Angle (mdeg)
1 1 −4
2 1 0
3 1 4
Table 4
Flux density in different parts of the motors
Parameter SPMSM IPMSM
Air gap flux density (T)
 Mean 0.778 0.6736
 Peak 1.062 1.414
Peak stator tooth flux density (T) 1.704 1.764
Peak stator tooth tip flux density (T) 2.049 2.17
Peak stator back iron flux density (T) 1.126 1.094
Peak rotor back iron flux density (T) 1.344 1.186
Table 5
Losses in different parts of the motors
Parameter SPMSM IPMSM
DC copper loss (W) 163.1 178.7
Magnet loss (W) 19 2.8
Stator iron loss (W) 147.2 141.7
Rotor iron loss (W) 1.03 11.1
Total loss (W) 330.25 334.3
Table 6
Output results of the two motors
Parameter IPMSM SPMSM
Output power (W) 7,564 7,206
Efficiency (%) 95.77 95.6
Shaft torque (Nm) 48.2 45.875
Torque ripple (%) 4.7 6.73
Power factor 0.972 0.982
Back EMF THD (%) 1.43 2.7

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Biography

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Trinh Truong Cong, https://orcid.org/0009-0005-2441-0973 received his master’s degree from the Department of Electrical Engineering, School of Electrical Engineering, Hanoi University of Science and Technology, in 2024. He is currently a master’s student in the Department of Electrical Engineering at Hanoi University of Science and Technology.

Biography

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Bao Doan Thanh, https://orcid.org/0000-0002-9180-9862 received his Ph.D. degree from Hanoi University of Science and Technology in 2016. He is currently a lecturer in the Faculty of Engineering and Technology at Quy Nhon University in Vietnam. His research interests include electrical power systems, switching devices, electrical machines, and transformers.

Biography

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Dinh Bui Minh, https://orcid.org/0000-0002-6741-4000 received his PhD degree from the Department of Electrical Engineering, TU university, in 2014. In September 2014, he joined Hanoi University of Science and Technology, where he is currently a lecturer in the Department of Electrical Engineering, School of Electrical and Electronic Engineering. His research domain encompasses the modeling of electrical machines using numerical methods.

Biography

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Nguyen Gia Minh Thao, https://orcid.org/0000-0002-5098-5237 received his Dr. Eng. degree in electrical engineering and intelligent control from Waseda University, Japan, in 2015. From 2020 to 2023, he was an assistant professor at Nagoya University and Toyota Technological Institute, Japan. Since 2023, Dr. Thao has been an associate professor at Shimane University, Japan, where he is the head of the Electric Motors and Energy Systems Laboratory. He has been a senior member of the IEEE and an associate editor of IEEE Transactions on Industry Applications since 2022. He has also been a guest editor for special issues of refereed journals, such as Electronics and IET The Journal of Engineering. His research interests include advanced control methods, electric motors and drives, power electronics, electromagnetic analysis and evaluation, renewable energy, optimization, and electric vehicles.

Biography

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Vuong Dang Quoc, https://orcid.org/0000-0002-0664-9535 received his Ph.D. degree in 2013 from the Faculty of Applied Sciences at the University of Liège in Belgium. In September 2013, he joined Hanoi University of Science and Technology, where he is currently deputy director of the Training Center of Electrical Engineering, School of Electrical Engineering. He became an associate professor in 2020. His research domain encompasses the modeling of electromagnetic systems, electrical machines, optimization methods, numerical methods, and subproblem methods.
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