System-Level Design Optimization Methods for Electrical Drive Systems: Deterministic Approach

Lei, Gang; Wang, Tianshi; Guo, Youguang; Zhu, Jun; Wang, Shuhong

doi:10.1109/tie.2014.2321338

Cited by 146 publications

(64 citation statements)

References 35 publications

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“…At this time, the unsaturated magnetic field reduces the mutual coupling between SM and DRM, which strengthens the working stability and control accuracy of this transmission. In order to reduce the FEM calculation time, the 1/8 FEM model of CSPM motor is adopted for analyses due to its symmetrical structure [19,20]. The electromagnetic performances of CSPM motor before and after optimization are compared using the 1/8 FEM model based on FEM, and the simulation results, which include the field distribution, induced voltage, flux linkage, and output torque, are given as follows.…”

Section: Field Distributionmentioning

confidence: 99%

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

Sun

Tian³

et al. 2018

Energies

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Abstract:On the basis of the excellent driving force demand of hybrid electric vehicles (HEVs), this paper studies the torque property of the compound-structure permanent-magnet motor (CSPM motor) used for HEVs, which is influenced by magnetic field oversaturation and variable nonlinear parameters. Firstly, the system configuration of HEVs based on CSPM motor and its working mode are introduced. Next, the state equation of CSPM motor in three-phase stationary coordinate system is proposed in order to investigate its torque performance; then, the factors affecting the output torque are gained. Finite element method (FEM)-based electromagnetic parameters analysis and design is carried out, to raise the output torque and reduce the torque ripple of CSPM motor. Besides, optimized design parameters are used to establish the FEM model, and the simulation results of electromagnetic performances for the CSPM motor before and after optimization are given to verify the rationality of optimization.

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Section: Field Distributionmentioning

confidence: 99%

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

Sun

Tian³

et al. 2018

Energies

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“…In contrast, a multi-level framework divides the large design space into several subspaces. This was proposed in [10] and was termed as the Sequential Subspace Optimization Method (SSOM). Subspaces are first formed based on a 'significance factor'.…”

Section: Single-level Vs Multi-level Optimizationmentioning

confidence: 99%

Integrated Design of Motor Drives Using Random Heuristic Optimization for Aerospace Applications

Cheong

Giangrande

Wheeler

et al. 2017

SAE Technical Paper Series

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High power density for aerospace motor drives is a key factor in the successful realization of the More Electric Aircraft (MEA) concept. An integrated system design approach offers optimization opportunities, which could lead to further improvements in power density. However this requires multi-disciplinary modelling and the handling of a complex optimization problem that is discrete and nonlinear in nature. This paper proposes a multi-level approach towards applying random heuristic optimization to the integrated motor design problem. Integrated optimizations are performed independently and sequentially at different levels assigned according to the 4-level modelling paradigm for electric systems. This paper also details a motor drive sizing procedure, which poses as the optimization problem to solve here. Finally, results comparing the proposed multi-level approach with a more traditional single-level approach is presented for a 2.5 kW actuator motor drive design. The multi-level approach is found to be more computationally efficient than its counterpart.

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“…High-performance NdFeB magnets have been used in many PM-SMC motors, such as transverse flux machine and axial flux motor to achieve good performance [1][2][3][4][5][6][7][8][9]11]. However, they are very expensive.…”

Section: Introductionmentioning

confidence: 99%

Robust Design of a Low-Cost Permanent Magnet Motor with Soft Magnetic Composite Cores Considering the Manufacturing Process and Tolerances

Liu

Lei

et al. 2018

Energies

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This paper uses the Taguchi method to optimize the manufacturing process and robust design of a low-cost permanent magnet motor with soft magnetic composite (SMC) cores. For the manufacturing process, SMC cores are produced by using the molding technology without any wire cutting costs. To maximize the relative permeability and minimize the core loss, the Taguchi method is employed to identify the best control factor values for the heat treatment of SMC cores based on a series of experimental results. Due to the manufacturing tolerances, there are significant uncertainties in the core densities and motor dimensions, which will result in big performance variations for the SMC motors in the batch production. To obtain a robust design less sensitive to these tolerances, the conventional Taguchi parameter design method and a sequential Taguchi optimization method are presented to maximize the average torque and minimize the core loss of a low-cost PM motor. Through comparison, it is found that the proposed optimization method is efficient. It can provide an optimal design with better motor performance and manufacturing quality. The proposed method will benefit the industrial production of cost-effective PM-SMC motors with robust and compact designs.

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System-Level Design Optimization Methods for Electrical Drive Systems: Deterministic Approach

Cited by 146 publications

References 35 publications

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

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

Integrated Design of Motor Drives Using Random Heuristic Optimization for Aerospace Applications

Robust Design of a Low-Cost Permanent Magnet Motor with Soft Magnetic Composite Cores Considering the Manufacturing Process and Tolerances

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