Continuum-Sensitivity-Based Optimization of Interior Permanent Magnet Synchronous Motor With Shape Constraint for Permanent Magnet

Hong, Seung Geon; Park, Il Han

doi:10.1109/tmag.2019.2945571

Cited by 17 publications

(6 citation statements)

References 4 publications

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“…The optimal design of the rotor's iron bridges and flux barriers is essential for the IPMSM's performance improvement. This can be implemented either by conducting a sensitivity analysis [30] or by following an optimization-based finite element analysis approach.…”

Section: Interior Permanent Magnet Motorsmentioning

confidence: 99%

Overview on Permanent Magnet Motor Trends and Developments

Vlachou,

Sakkas,

Xintaropoulos

et al. 2024

Energies

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The extreme environmental issues and the resulting need to save energy have turned attention to the electrification of energy applications. One of the key components involved in energy efficiency improvements is the appropriate conception and manufacturing of electric machines. This paper overviews the electromagnetic analysis governing the behavior of permanent magnets that enable substantial efficiency gains in recent electric machine developments. Particular emphasis is given to modeling the properties and losses developed in permanent magnets in emerging high speed applications. In addition, the investigation of properties and harmonic losses related to ferromagnetic materials constituting the machine magnetic circuits are equally analyzed and discussed. The experimental validation of the implemented methodologies and developed models with respect to the obtained precision is reported. The introduction of mixed numerical techniques based on the finite element method intended to appropriately represent the different physical phenomena encountered is outlined and discussed. Finally, fast and accurate simulation techniques including aggregated lumped parameter models considering harmonic losses associated with inverter supplies are discussed.

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Section: Interior Permanent Magnet Motorsmentioning

confidence: 99%

Overview on Permanent Magnet Motor Trends and Developments

Vlachou,

Sakkas,

Xintaropoulos

et al. 2024

Energies

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“…Numerous complex magnet arrangements have been proposed for achieving specific application-related performance characteristics [2][3]. For example, in [4], Guo and Parsa investigated the influence of straight, V-and Ushaped magnet arrangements on the torque characteristics of IPMSMs.…”

Section: B) Relevant Literaturementioning

confidence: 99%

Commutation Angle Maps Evaluation for Magnet Arrangements of Interior Permanent Magnet Synchronous Machines in Electric Vehicles

Asef

Denaï

Marques³

et al. 2021

2021 International Conference on Smart Energy Systems and Technologies (SEST)

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The commutation angle, γ, of an interior permanent magnet synchronous motor's (IPMSM) vector diagram, plays an important role in compensating the back electromotive force; both under load phase current variations and/or when an extended speed range, being near the constant power range, is required by the application. This commutation angle is defined as the angle between the fundamental of the phase current and the fundamental of the back-emf. It can be utilized to provide a compensating effect in IPMSMs. This is due to the reluctance torque component being dependent on the phase current before the extended speed range. A real-time maximum torque per current and voltage strategy is employed to find the trajectory and optimum commutation angles, γ, where the level of accuracy depends on the application and available computational speed. A magnet volume reduction is proposed in this paper to minimize the permanent magnet mass to motor torque density, whilst maintaining the phase current below its maximum rated value. A mapping of γ allows the determination of the optimum angles as shown in this paper. The 3 rd generation Toyota Prius IPMSM is considered the reference motor, where only the rotor configuration is altered to allow for an individual assessment. The electric vehicle's performance during acceleration and deceleration using various IPMSM rotor configurations is evaluated for a given four-wheel-drive vehicle. The powertrain uses two single-gear onboard, under standard drive cycles.

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“…P MSWG has been widely used in various industries due to its simple physical structure and high power factor [1][2][3][4]. Ensuring the accuracy of motor parameters is an indispensable prerequisite for achieving high performance control of PM-SWG.…”

Section: Introductionmentioning

confidence: 99%

An Adaptive Learning Co-evolutionary Variational Particle Swarm Optimization Algorithm for Parameter Identification of PMSWG

Zhang,

Zhou,

Luo

et al. 2024

PIER C

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Targeting the problems of traditional particle swarm algorithm easily falling into local optimum and low recognition accuracy, an adaptive learning co-evolutionary variational particle swarm optimization algorithm (ALCEVPSO) is proposed in this paper to identify the parameters of permanent magnet synchronous wind generator (PMSWG). At first, an adaptive learning strategy is adopted for the inertia weights of the PSO, and the global optimization seeking ability of the PSO is improved. After that, multiple swarm co-evolution strategies are introduced to share the best positions within sub-populations, and by this method, the algorithm's falling into local optimality is avoided. Finally, Cauchy Gaussian mixed variants are introduced, and the population diversity is enriched. The proposed method has the advantages of strong optimization ability and high search accuracy compared with the traditional particle swarm algorithm, which is shown by simulated and experimental results. By this method, the motor parameters of the permanent magnet synchronous motor can be accurately identified.

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Continuum-Sensitivity-Based Optimization of Interior Permanent Magnet Synchronous Motor With Shape Constraint for Permanent Magnet

Cited by 17 publications

References 4 publications

Overview on Permanent Magnet Motor Trends and Developments

Overview on Permanent Magnet Motor Trends and Developments

Commutation Angle Maps Evaluation for Magnet Arrangements of Interior Permanent Magnet Synchronous Machines in Electric Vehicles

An Adaptive Learning Co-evolutionary Variational Particle Swarm Optimization Algorithm for Parameter Identification of PMSWG

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