Modeling of electromagnetic torque considering saturation and magnetic field harmonics in permanent magnet synchronous motor for HEV

Chen, Xing; Hu, Jibin; Chen, Kai; Peng, Zengxiong

doi:10.1016/j.simpat.2016.02.012

Cited by 52 publications

(21 citation statements)

References 14 publications

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“…The well-known dynamic d-q model [30,31] is simple enough to be implemented in fast HIL [32]. However, this model cannot be used for fault diagnosis purposes, because it neglects the harmonic contents generated by phase windings, and is unable to model the torque pulsations that appear in the machine shaft due to the interaction between time and space harmonics [33]. The challenge is to perform the machine condition monitoring under conditions in which both the phase currents and the phase voltages are not sinusoidal and torque pulsations are present on the shaft [34].…”

Section: Faulty Induction Motor Modelsmentioning

confidence: 99%

Induction machine model with finite element accuracy for condition monitoring running in real time using hardware in the loop system

Sapena-Bañó

Chinesta

Pineda-Sánchez

et al. 2019

International Journal of Electrical Power & Energy Systems

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Most industrial processes are run by induction machines (IMs). Condition monitoring of IM assures their continuity of service, and it may avoid highly costly breakdowns. Among the methods for condition monitoring, online motor current signature analysis is being attracting a rising interest, because it is non-invasive, and it can identify a wide variety of faults at early stage. To favour the development of on-line fault diagnosis techniques, it is necessary to have real-time currents with which test the new techniques and devices. Models running in real time in hardware-in-the-loop (HIL) simulators are a suitable alternative to balance the drawbacks of test benches (costly, limited machines, faults and working conditions). These models must be accurate enough to reflect the effects of a fault and they must be running in real time. A promising technique based on the equivalent circuit parameters calculation of IM by finite element analysis (FEA) is attracting a rising interest due to its reliability, performance and the possibility of being run in a HIL. Nevertheless, prior to running in a HIL, it is necessary to compute the IM parameters using FEA, which requires long simulation times and high computing resources. Consequently, covering a whole range of degrees of a giving fault could be unaffordable. What is proposed in this paper is to apply the sparse subspace learning (SSL) in combination with the hierarchical Lagrangian interpolation (HLI) to obtain the parametric solutions of the faulty IM model that cover the whole range of severity of a given fault, with a reduced number of FEA simulations. By means of this approach it is possible not only to boost the computation speed but also to achieve a significant reduction of memory requirements while retaining reasonable accuracy compared to traditional FEA, so enabling the real-time simulation of predictive models.

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Section: Faulty Induction Motor Modelsmentioning

confidence: 99%

Induction machine model with finite element accuracy for condition monitoring running in real time using hardware in the loop system

Sapena-Bañó

Chinesta

Pineda-Sánchez

et al. 2019

International Journal of Electrical Power & Energy Systems

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“…Most conventional PMSMs are built using fundamental AC arrangement of three-phase power supply system. To cater heavy electrical machinery development such as in electrical vehicle (EV), marine propulsion, aircraft and traction applications, the current flow in the machine may require more power consumption in the process [6][7]. Hence, the requirement of employing multi-phase power supply system on PMSM can become foreseeable [8][9].…”

Section: Introductionmentioning

confidence: 99%

Design and fault tolerant analysis of five-phase permanent magnet synchronous motor

Saari

Ishak

2019

IJEECS

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This paper presents a design of 15-slot/12-pole, five-phase, surface-mounted permanent magnet synchronous motor (PMSM). The five-phase PMSM can be an attractive solution to few applications that demand fault tolerant capability such as in aerospace engineering and electric propulsion. The motor model is first investigated based on the implementation of analytical method. The analytical method derived from the subdomain model of the permanent magnet machine is initially applied to estimate the magnetic flux density distributions for the radial component Br and the tangential component Bt in the machine air gap. Other important motor characteristics such as phase back-EMF, line back-EMF, cogging torque and electromagnetic torque are also calculated. The analytically calculated results are then compared with the numerical method in a 2D finite element analysis. Additionally, the capability of this PMSM model against faulty conditions are further investigated. The results show that the analytical model of the 15-slot/12-pole, five-phase PMSM provides very accurate motor performance within acceptable error margin. For instance, the average electromagnetic torques, inclusive of the cogging torque, as computed by the analytical and numerical methods are 5.53Nm and 5.33Nm respectively, yielding an error of 3.6%. During faulty conditions, the PMSM can possibly continue to operate with lower output torque, about 60% to 80% of its rated torque, when one-phase or two phase windings are out of service.

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“…Zhu et al 5 proposed a novel integrated brushless excitation method which is applied to a rotor-excited hybrid excitation synchronous generator to realize brushless excitation for a rotorexcited generator. Chen et al 6 proposed a general nonlinear mathematical model of PM synchronous motor considering saturation, magnetic field spatial harmonics, and time harmonics, based on the classical Park's transformation theory and the Fourier series analysis of the magnetic field. Ayaz et al developed a new PM alternator, which has a main alternator winding and an auxiliary winding.…”

Section: Introductionmentioning

confidence: 99%

Nd-Fe-B permanent magnet generator and voltage stabilizing control technology for vehicles

Zhang

et al. 2016

Advances in Mechanical Engineering

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In this study, the tangential magnetic field Nd-Fe-B permanent magnet generator is designed and analyzed. In the generator, the adjacent permanent steel is sequentially arranged on the radial groove by the way of same polarity-oriented manner. The optimal design parameters of the generator are obtained by analyzing the influence rule of the generator leakage magnetic flux and leakage coefficient which is affected by the change in rotor pole pairs, permanent steel thickness, magnetic isolation air width, and air-gap length. The mathematical model of the magnetic field is developed and analyzed using the finite element method. Using the finite element method model, the diagrams of magnetic force line distribution, magnetic flux density modulus value, and magnetic flux density vector are obtained, which can be used to verify the validity of the main design parameters. A three-phase half-wave impulse-type controlled rectifier voltage regulator is developed with the function of regulator and rectifier, which proposes a solution to the output voltage instability of the Nd-Fe-B permanent magnet generator in a wide speed and load range.

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Modeling of electromagnetic torque considering saturation and magnetic field harmonics in permanent magnet synchronous motor for HEV

Cited by 52 publications

References 14 publications

Induction machine model with finite element accuracy for condition monitoring running in real time using hardware in the loop system

Induction machine model with finite element accuracy for condition monitoring running in real time using hardware in the loop system

Design and fault tolerant analysis of five-phase permanent magnet synchronous motor

Nd-Fe-B permanent magnet generator and voltage stabilizing control technology for vehicles

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