Parametric Equivalent Magnetic Network Modeling Approach for Multiobjective Optimization of PM Machine

Cao, Donghui; Zhao, Wenxiang; Ji, Jinghua; Wang, Yanyang

doi:10.1109/tie.2020.3005105

Cited by 37 publications

(16 citation statements)

References 25 publications

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“…Although recent studies have optimized electric machines such as linear machines [29] and permanent magnet motors [30][31][32][33] using only an RN alone, the results were verified via FE analysis. This means that a high-fidelity model is required even if the optimizations are conducted using only a lowfidelity RN.…”

Section: Sequential Optimizationmentioning

confidence: 99%

Multi-Fidelity Model-Based Size Optimization of Electric Machines

Ahn

Min

2022

IEEE Access

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The multi-modal problem and high computational cost represent challenges in the optimization of electric machines owing to their highly nonlinear electromagnetic response. To overcome these challenges, this paper proposes a multi-fidelity model-based sequential optimization method in which both low-and highfidelity models are employed in two phases. In phase 1, the reluctance network (RN) is adopted as the lowfidelity model and mainly contributes to alleviating the abovementioned challenges. To overcome the low accuracy of the RN, the optimal design is obtained using a finite element model (FEM) in phase 2. The multistart strategy and gradient-based algorithm are utilized instead of a heuristic algorithm in all phases to avoid excessive calculations. This multi-fidelity model concept presents a novelty compared to previous research that focused only on algorithm development. The effectiveness of the proposed method is validated with two examples, consisting of the TEAM workshop problem 25 and the torque ripple minimization of an interior permanent magnet synchronous motor. The optimal designs and computational time resulting from the proposed method are compared with those of the conventional method, where only a FEM is used during optimization. The results show that the proposed method is remarkable in finding superior optimal designs, while ignoring unimportant local optima. Additionally, it can save up to 90% of the computational time required by the conventional method.INDEX TERMS Computational efficiency, electric machine, finite element model, multi-fidelity model, multi-modal problem, reluctance network.

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Section: Sequential Optimizationmentioning

confidence: 99%

Multi-Fidelity Model-Based Size Optimization of Electric Machines

Ahn

Min

2022

IEEE Access

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“…Sensitivity analysis can effectively identify the influence of each design parameter on the various optimization performances of the SPM machine [13,25]. Sensitivity analysis based on functional decomposition of variance is adopted in this paper to show the effect of each design variable on the optimization objectives [10].…”

Section: Comprehensive Sensitivity Analysismentioning

confidence: 99%

“…Although most of the previous multi-objective optimization strategies were mainly based on numerical techniques such as 2D and 3D finite element (FE) models, recent literature has proposed some alternatives based on parametric magnetic equivalent circuit (MEC) models [13], which is a notable contribution of this analysis. FE techniques are the most accurate; however, owing to the heavy computational burden and the cumbersome operations, MEC-based models are highly preferred because of their low computational costs during the initial design stages [14,15].…”

Section: Introductionmentioning

confidence: 99%

Design and Multi-Objective Optimization of a 12-Slot/10-Pole Integrated OBC Using Magnetic Equivalent Circuit Approach

et al. 2021

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Permanent magnet machines (PMs) equipped with fractional slot concentrated windings (FSCWs) have been preferably proposed for electric vehicle (EV) applications. Moreover, integrated on-board battery chargers (OBCs), which employ the powertrain elements in the charging process, promote the zero-emission future envisaged for transportation through the transition to EVs. Based on the available literature, the employed machine, as well as the adopted winding configuration, highly affects the performance of the integrated OBC. However, the optimal design of the FSCW-based PM machine in the charging mode of operation has not been conceived thus far. In this paper, the design and multi-objective optimization of an asymmetrical 12-slot/10-pole integrated OBC based on the efficient magnetic equivalent circuit (MEC) approach are presented, shedding light on machine performance during charging mode. An ‘initial’ surface-mounted PM (SPM) machine is first designed based on the magnetic equivalent circuit (MEC) model. Afterwards, a multi-objective genetic algorithm is utilized to define the optimal machine parameters. Finally, the optimal machine is compared to the ‘initial’ design using finite element (FE) simulations in order to validate the proposed optimization approach and to highlight the performance superiority of the optimal machine over its initial counterpart.

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“…In order to account for the nonlinear behavior of the magnetic circuit, the MEC has been iteratively-solved using the Newton-Raphson algorithm. In [12], Cao et al proposed a mesh MEC model aimed at a multi-objective optimization of a surface-mounted PM. A parametric method has been considered in the mesh generation so that the MEC structure can be updated according to the changes of the reluctance network.…”

Section: Introductionmentioning

confidence: 99%

3D Rotor Position-Dependant MEC Modeling of Different Claw Pole Machine Topologies

2022

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The paper is aimed at a 3D magnetic equivalent circuit (MEC)-based modelling of claw pole synchronous machine topologies. Beyond the magnetic saturation and the armature magnetic reaction, the proposed modelling approach takes into consideration the rotor position variation, yielding the socalled: rotor position-dependant MEC. Accounting for the complexity of the magnetic circuit of claw pole topologies, specific assumptions are adopted prior a general analytical derivation of their MEC models. The developed analytical approach focuses on the air gap reluctance under variable rotor position considering a simplified geometry of the claw. A dedicated numerical procedure based on the Newton-Raphson algorithm is proposed for the resolution of the designed rotor position-dependant MEC. The proposed approach is applied to three claw pole topologies. The two first ones are equipped with a single source of excitation achieved by a field. Their analytically-predicted features are validated by experiments. The third topology has a dual excitation achieved by a field and permanent magnets (PMs) in the rotor. Its analyticallypredicted features are validated by 3D finite element analysis (FEA). It is found that both experimental and FEA results are in quite good agreement with the analytical predictions yielded by the proposed rotor position-dependant MEC.INDEX TERMS Armature magnetic reaction, claw pole topologies, magnetic saturation, no-/on-load features, rotor position-dependant magnetic equivalent circuit, single/dual excitation, three dimensional finite element analysis.

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Parametric Equivalent Magnetic Network Modeling Approach for Multiobjective Optimization of PM Machine

Cited by 37 publications

References 25 publications

Multi-Fidelity Model-Based Size Optimization of Electric Machines

Multi-Fidelity Model-Based Size Optimization of Electric Machines

Design and Multi-Objective Optimization of a 12-Slot/10-Pole Integrated OBC Using Magnetic Equivalent Circuit Approach

3D Rotor Position-Dependant MEC Modeling of Different Claw Pole Machine Topologies

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