Magnet-Frozen-Permeability FEA and DC-Biased Measurement for Machine Inductance: Application on a Variable-Flux PM Machine

Chen, Junhua; Li, Jian; Qu, Ronghai; Ge, Mingtao

doi:10.1109/tie.2017.2772165

Cited by 42 publications

(4 citation statements)

References 32 publications

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“…In fact, the value of Ψ q2 is equal to zero during this progress. Therefore, L d and L q can be obtained by (5), and the objective function is defined as (6) to satisfy the dominant relationship.…”

Section: Selection Of the Optimisation Objectivesmentioning

confidence: 99%

“…Meanwhile, interior permanent magnet synchronous motor (IPMSM) has been widely used in EVs due to their strength in high efficiency, wide speed range and high-power density [3,4]. Nowadays, a new type of IPMSM with reverse salient rotor, often named as the flux-intensifying interior permanent magnet motor (FI-IPM), has emerged and become a hot research topic [5][6][7]. Compared with the conventional IPMSM, FI-IPM with the reverse salient rotor can further decrease the risk of irreversible demagnetisation and thus widen the speed range.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Optimisation of reverse salient rotor for interior permanent magnet synchronous motor and experimental validation

Wei

et al. 2021

IET Electric Power Appl

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The prosperous development of electric vehicles has promoted the application of interior permanent magnet synchronous motors (IPMSMs). The flux-intensifying IPMSM has attracted more attention due to its high power-density and better flux-weakening performance. However, the optimisation efficiency and motor performance require further study in the actual optimisation design. To this end, this study is to optimise the electromagnetic field structure of motor rotors with the back propagation neural networks (BPNN) and multi-objective optimisation methods. Concretely, dimensional parameters of an initial motor are extracted as optimisation variables. Then, the BPNN are utilised to stimulate the motor performance obtained with finite element methods (FEM). With the trained BPNN, FEM tools are replaced in the subsequent optimisation process, which alleviates the computational burden. Besides, to address the problem of multi-objective optimisation with inequality constraints, the sequential unconstrained minimisation technique is incorporated into the non-dominated sorting genetic algorithm to obtain the Pareto frontier. Finally, the optimal design point is selected from the Pareto frontier. The simulation and experiment have been implemented to verify the superiority of the optimised rotor structure. Generally, this study has laid the foundation of the following motor optimisation with the higher executability and lower computational burden. K E Y W O R D S electric machines, electric vehicles, multi-objective optimization, neural networks, reverse salient rotorThis is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Section: Selection Of the Optimisation Objectivesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimisation of reverse salient rotor for interior permanent magnet synchronous motor and experimental validation

Wei

et al. 2021

IET Electric Power Appl

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“…Magnetization-Frozen FEA records the initial state of the Alnico magnets. Then the FEA method generates the BH curve to be configured, according to the experimentally measured BH loops and the manipulation specifications (e.g., manipulation current amplitude) [23]. A single MS manipulation has two stages.…”

Section: Voltage Analysis Of the Magnetization State Manipulatiomentioning

confidence: 99%

Online Magnetization Trajectory Prediction and Current Control for a Variable-Flux Permanent Magnet Machine

Chen

Fang

2020

IEEE Access

Self Cite

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Online magnetization current control is a critical concern of the variable-flux permanent magnet machine control. Increasing the magnetization speed benefits the machine system, which reduces manipulation losses and mechanical impact. Thus, this paper proposes an online trajectory prediction method that increases the DC-link voltage utilization, boosting the manipulation speed. The prediction method decouples the rotating voltage and the induction voltage in the machine model. The induction voltage is the source of di/dt, which influences the magnetization manipulation speed. The proposed method updates the maximum available induction voltage at every manipulation stage by excluding the rotating voltage from the DC-link voltage limitation. Based on the induction voltage, the magnetization current trajectory is predicted. The trajectory prediction is cooperated with a feed-forward current controller to increase the control dynamics. Verified by various experiments, the proposed method achieves fast manipulation speed with high control accuracy. Besides, the proposed method shows self-adaptive capabilities in variable-speed and variable-voltage conditions. INDEX TERMS Current control, feed-forward PI controller, magnetization, mathematical model, motor control, variable-flux permanent magnet machine.

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“…Basing on the proposed model, Wu et al implemented an optimization process which allows to obtain a larger torque density; FEA and FP results were compared to prove the advantages coming from the application of the proposed optimized model. In [33], FP is used to provide an accurate inductance model of a variable-flux permanent magnet machine and the results are compared with experimental measurements showing a good correspondence. Frozen permeability can also be used to find a d-q model under saturated conditions, as shown in [34], since the classic model does not take into account saturation and cross magnetization; thanks to the FP method these factors can be included in the model, ensuring a good representation of the machine's magnetic behaviour.…”

Section: Introductionmentioning

confidence: 99%

Effects of the Magnetic Model of Interior Permanent Magnet Machine on MTPA, Flux Weakening and MTPV Evaluation

Bianchini

Bisceglie

Torreggiani³

et al. 2023

Machines

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Interior permanent-magnet synchronous machines are widely spreading in automotive and vehicle traction applications, because of their high efficiency over a wide speed range. This capability can be achieved by appropriated control strategies: Maximum Torque per Ampere (MTPA), Flux Weakening (FW) and Maximum Torque per Volt (MTPV). However, these control trajectories are often based on an simplified magnetic model of the electrical machine. In order to improve the evaluation of machine output capabilities, nonlinear magnetic behavior must be modeled. This is not only related to the final application with a given drive and control structure, but also during the design process of the electric machine. In the design process, the output torque Vs. speed characteristic must be calculated following MTPA, MTPV and FW in the most accurate way to avoid significant error. This paper proposes a set of algorithms to compute MTPA, FW and MTPV curves for interior permanent-magnet synchronous machines taking into account the machines’ nonlinearities caused by iron saturation and compares differed approaches to highlight the torque–speed capabilities for the same machine following different methods. The algorithms are based on the maps of the equivalent inductances of a reference interior permanent-magnet synchronous machine and inductances maps were obtained via 2-D Finite Element Analysis over the machine’s operating points in id−iq reference plane. The effects of different 2-D finite element methods are also computed by both standard nonlinear magnetostatic simulations and Frozen Permeability simulations. Results show that the nonlinear model computed via frozen permeability is more accurate than the conventional linear and nonlinear models computed via standard magnetostatic simulations; for this reason, during the electrical machine design, it is important to check the expected performance employing a complete inductance map and frozen permeability.

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Magnet-Frozen-Permeability FEA and DC-Biased Measurement for Machine Inductance: Application on a Variable-Flux PM Machine

Cited by 42 publications

References 32 publications

Optimisation of reverse salient rotor for interior permanent magnet synchronous motor and experimental validation

Optimisation of reverse salient rotor for interior permanent magnet synchronous motor and experimental validation

Online Magnetization Trajectory Prediction and Current Control for a Variable-Flux Permanent Magnet Machine

Effects of the Magnetic Model of Interior Permanent Magnet Machine on MTPA, Flux Weakening and MTPV Evaluation

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