Determination of PM Flux Linkage Based on Minimum Saliency Tracking for PM-SyR Machines Without Rotor Movement

Pescetto, Paolo; Pellegrino, Gianmario

doi:10.1109/tia.2020.3000710

Cited by 16 publications

(2 citation statements)

References 30 publications

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“…The virtual flux can be obtained in many ways. One approach is to integrate the voltage online, since voltage is the derivative of flux [115,116,117,118]; another way is to characterize in detail the machine in use to obtain the current-flux mapping. This mapping can be obtained via analytical calculations [119], finite element analysis [120,121] or experimentation [122,123].…”

Section: Permanent Magnet Synchronous Machinementioning

confidence: 99%

Bidirectional Nonisolated Fast Charger Integrated in the Electric Vehicle Traction Drivetrain

Eull

Zhou

Jahnes

et al. 2022

IEEE Trans. Transp. Electrific.

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Electric vehicles present an opportunity to reduce the substantial global footprint of road transportation. Cost and range anxiety issues, however, remain major roadblocks to their widespread adoption. One of the simplest ways to reduce cost is to remove components from the vehicle via novel topologies, estimation and control; to reduce range anxiety, charging infrastructure needs to be simplified and the power electronics in the vehicle made more efficient. This thesis proposes a bidirectional non-isolated fast charger integrated in the traction drivetrain of an electric vehicle that is enabled by a modular power electronic converter topology called the autoconverter module. The autoconverter module is an evolution of previous modular power electronic concepts with the goal of a highly integrated, high performance converter capable of being used in a number of applications through simple parallelization. By simplifying system design through the use of one base power conversion block, overall system cost can be reduced.Key to the realization of the power module is state estimation. To enable high performance operation of the system, low noise state information must be provided to the controller. State estimation is capable of filtering measurement noise to achieve this goal. However, conventional estimation techniques typically have low bandwidth and a convergence time associated with them, limiting the overall control system's performance. Higher performance techniques, such as receding horizon estimation, offer near-instantaneous estimation with noise rejection capabilities,

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Section: Permanent Magnet Synchronous Machinementioning

confidence: 99%

Bidirectional Nonisolated Fast Charger Integrated in the Electric Vehicle Traction Drivetrain

Eull

Zhou

Jahnes

et al. 2022

IEEE Trans. Transp. Electrific.

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show abstract

“…reluctance motor (RM)) 3 or hybrid options with a lesser volume of PMs (e.g. PM-assisted synchronous reluctance motor 4 ). So far, these are not competitive with PMSMs in electromagnetic performance 5 – 7 .…”

Section: Introductionmentioning

confidence: 99%

A physics-informed Bayesian optimization method for rapid development of electrical machines

Asef,

Vagg

2024

Sci Rep

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Advanced slot and winding designs are imperative to create future high performance electrical machines (EM). As a result, the development of methods to design and improve slot filling factor (SFF) has attracted considerable research. Recent developments in manufacturing processes, such as additive manufacturing and alternative materials, has also highlighted a need for novel high-fidelity design techniques to develop high performance complex geometries and topologies. This study therefore introduces a novel physics-informed machine learning (PIML) design optimization process for improving SFF in traction electrical machines used in electric vehicles. A maximum entropy sampling algorithm (MESA) is used to seed a physics-informed Bayesian optimization (PIBO) algorithm, where the target function and its approximations are produced by Gaussian processes (GP)s. The proposed PIBO-MESA is coupled with a 2D finite element model (FEM) to perform a GP-based surrogate and provide the first demonstration of the optimal combination of complex design variables for an electrical machine. Significant computational gains were achieved using the new PIBO-MESA approach, which is 45% faster than existing stochastic methods, such as the non-dominated sorting genetic algorithm II (NSGA-II). The FEM results confirm that the new design optimization process and keystone shaped wires lead to a higher SFF (i.e. by 20%) and electromagnetic improvements (e.g. maximum torque by 12%) with similar resistivity. The newly developed PIBO-MESA design optimization process therefore presents significant benefits in the design of high-performance electric machines, with reduced development time and costs.

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Sensorless initial position estimation strategy for PMa-SynRM drives based on dual rotating high-frequency signal injection

Liu,

Luo,

Zhao

et al. 2023

J. Power Electron.

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Determination of PM Flux Linkage Based on Minimum Saliency Tracking for PM-SyR Machines Without Rotor Movement

Cited by 16 publications

References 30 publications

Bidirectional Nonisolated Fast Charger Integrated in the Electric Vehicle Traction Drivetrain

Bidirectional Nonisolated Fast Charger Integrated in the Electric Vehicle Traction Drivetrain

A physics-informed Bayesian optimization method for rapid development of electrical machines

Sensorless initial position estimation strategy for PMa-SynRM drives based on dual rotating high-frequency signal injection

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