Analysis and Design of a Compound-Structure Permanent-Magnet Motor for Hybrid Electric Vehicles

Xu, Qiwei; Sun, Jing; Tian, Dewen; Wang, Wen‐Juan; Huang, Jianshu; Cui, Shumei

doi:10.3390/en11082156

Cited by 3 publications

(2 citation statements)

References 21 publications

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“…The advantage of this method is its fast calculation speed and ability to identify noise sources effectively. Methods for suppressing motor vibration noise mainly include optimization of pole arc coefficients [8] , skewed stator slots or rotor poles [9][10][11][12] , and pole displacement [13] . Reference [14] proposed a segmented staggered permanent magnet pole to simultaneously reduce pole frequency vibration and slot frequency vibration.…”

Section: High-torque and Low-noise Ipmsm Multiobjective Collaborative...mentioning

confidence: 99%

High-torque and low-noise IPMSM multi-objective collaborative optimization based on multi-layer surrogate model

Li,

li,

han

et al. 2024

Preprint

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To achieve efficient and rapid optimization for high torque and low noise permanent magnet synchronous motors, this paper proposes a multi-layer surrogate model-based optimization method for IPMSM (Interior Permanent Magnet Synchronous Motor) based on sensitivity classification of structural parameters. Firstly, using a hybrid model of “FEM + Unit Force Wave Response,” the key order electromagnetic forces causing electromagnetic noise in various operating conditions of the motor are obtained. Their amplitudes, along with the motor’s average output torque and torque ripple, are taken as optimization objectives. By analyzing the sensitivity of structural parameters using the random forest algorithm, the selection and classification of structural parameters are achieved. A hierarchical optimization is then performed using a combination of a multi-island genetic algorithm, a multi-objective particle swarm optimization algorithm, and parameterized scanning. Compared with traditional multi-field coupled optimization methods, this method saves computational resources while reducing calculation time by 54.9%. After optimization, the average output torque is increased by 34.6% compared to before optimization, the amplitude of key order electromagnetic forces of the motor is reduced by 13.7%, and torque ripple is reduced by 67.8%.

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Section: High-torque and Low-noise Ipmsm Multiobjective Collaborative...mentioning

confidence: 99%

High-torque and low-noise IPMSM multi-objective collaborative optimization based on multi-layer surrogate model

Li,

li,

han

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…The torque ripples and the coupling between the internal/external magnetic fields of a compound excitation PMM are reduced through finite element analysis in Ref. [22].…”

Section: Research Of Nevs Pmsmmentioning

confidence: 99%

Review and Development of Electric Motor Systems and Electric Powertrains for New Energy Vehicles

et al. 2021

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This paper presents a review on the recent research and technical progress of electric motor systems and electric powertrains for new energy vehicles. Through the analysis and comparison of direct current motor, induction motor, and synchronous motor, it is found that permanent magnet synchronous motor has better overall performance; by comparison with converters with Si-based IGBTs, it is found converters with SiC MOSFETs show significantly higher efficiency and increase driving mileage per charge. In addition, the pros and cons of different control strategies and algorithms are demonstrated. Next, by comparing series, parallel, and power split hybrid powertrains, the series–parallel compound hybrid powertrains are found to provide better fuel economy. Different electric powertrains, hybrid powertrains, and range-extended electric systems are also detailed, and their advantages and disadvantages are described. Finally, the technology roadmap over the next 15 years is proposed regarding traction motor, power electronic converter and electric powertrain as well as the key materials and components at each time frame.

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Operational Improvement of Interior Permanent Magnet Synchronous Motor Using Fuzzy Field-Weakening Control

2018

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This paper considers the fuzzy control design of maximum torque per ampere (MTPA) and maximum torque per voltage (MTPV) for the interior permanent magnet synchronous motor (IPMSM) control system that is capable of reducing computation burden, improving torque output, and widening the speed range. In the entire motor speed range, three control methods, i.e., the MTPA, flux weakening, and MTPV methods may be applied depending on current and voltage statuses. The simulation using MATLAB/Simulink is first conducted and then in order to speed up the development, hardware-in-the-loop (HIL) is adopted to verify the effectiveness of the proposed fuzzy MTPA and MTPV control for the IPMSM system.

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Analysis and Design of a Compound-Structure Permanent-Magnet Motor for Hybrid Electric Vehicles

Cited by 3 publications

References 21 publications

High-torque and low-noise IPMSM multi-objective collaborative optimization based on multi-layer surrogate model

High-torque and low-noise IPMSM multi-objective collaborative optimization based on multi-layer surrogate model

Review and Development of Electric Motor Systems and Electric Powertrains for New Energy Vehicles

Operational Improvement of Interior Permanent Magnet Synchronous Motor Using Fuzzy Field-Weakening Control

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