Statistical Simulation of Conductor Lay and AC Losses in Multi-Strand Stator Windings

Hoole, Joshua; Mellor, Phil; Simpson, Nick; North, Dominic

doi:10.1109/iemdc47953.2021.9449582

Cited by 10 publications

(19 citation statements)

References 12 publications

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“…There have been previous efforts to simulate the variability in the conductor lay and strand positions [4], [12], [15], [16] and this paper extends this prior work by developing computationally efficient analysis tools that characterise AC loss variability with a view to supporting the design of random multistranded windings in power-dense electrical machines. The tools consist of experimentally-informed analytical and Finite Element Analysis (FEA) methods.…”

Section: Introductionmentioning

confidence: 91%

“…Bundle losses are the result of circulating currents within the multiple parallel strands that form each series turn and occur as a result of imbalances in the induced voltages and impedance of each strand circuit [15], [17]. Bundle level losses are sensitive to the different conductor positions that a parallel strand occupies in a stator slot [12]. Combined, the magnitude of strand and bundle losses within a stator winding are often defined using the 'AC loss factor' K AC , which represents the ratio of the AC to DC ohmic power loss at a given frequency and temperature.…”

Section: Experimental Ac Loss Estimationmentioning

confidence: 99%

“…The variability shown in Fig. 4 was further characterised by fitting a 3P Log-Normal distribution and full justification for selecting a 3P Log-Normal distribution is provided in previous work [12]. A 3P Log-Normal distribution has the form shown in (1), where x is the value of the quantity of interest (i.e.…”

Section: B Ac Loss Variability Behaviourmentioning

confidence: 99%

“…A 3P Log-Normal distribution has the form shown in (1), where x is the value of the quantity of interest (i.e. K AC ), p(x) is the probability density, δ LN is a threshold parameter (minimum possible value), µ LN is a location parameter (representative of distribution 'peak' position) and σ LN is a scale parameter (representative of the distribution 'spread') [12]. Fig.…”

Section: B Ac Loss Variability Behaviourmentioning

confidence: 99%

“…1a would therefore be very challenging to achieve in practice and the likely conductor lay would be more akin to Fig. 1d, where the strands forming the bundle turns are more randomly mixed [12]. Further, strand transposition has been observed throughout the winding, with strands weaving along the slot active length and end winding [13].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Designing for Conductor Lay and AC Loss Variability in Multistrand Stator Windings

Hoole

Mellor

Simpson

2023

IEEE Trans. on Ind. Applicat.

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Vehicle electrification places significant pressures on electric machine design due to the need for increased power densities and mass production. These two requirements couple when designing multistrand stator windings, which exhibit significant AC loss variability as a result of the random nature of the conductor lay within the stator slot caused by automated insert winding. This paper presents two prediction methods for AC loss variability to be deployed at the winding design stage. The first consists of an analytical approach, whilst the second constructs a 2D finite element analysis geometry that captures conductor lay characteristics. Comparison of predictions from both approaches to experimental AC loss measurements established that the proposed models capture the experimentally observed AC loss variability characteristics and that the analytical method is suitable for early design stages whilst the finite element approach should be adopted once the winding configuration is finalised.

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Section: Introductionmentioning

confidence: 91%

Section: Experimental Ac Loss Estimationmentioning

confidence: 99%

Section: B Ac Loss Variability Behaviourmentioning

confidence: 99%

Section: B Ac Loss Variability Behaviourmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Designing for Conductor Lay and AC Loss Variability in Multistrand Stator Windings

Hoole

Mellor

Simpson

2023

IEEE Trans. on Ind. Applicat.

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AC Losses in Windings: Review and Comparison of Models With Application in Electric Machines

Hajji,

Hlioui,

Louf

et al. 2024

IEEE Access

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Experimental Determination of Conductor Lay and Impact on AC Loss in Volume Manufactured Machines using X-Ray Computed Tomography

Hoole

Simpson

Mellor

et al. 2021

2021 IEEE Energy Conversion Congress and Exposition (ECCE)

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The volume manufacture of power-dense electrical machines results in a random conductor lay throughout the stator winding and stator slots, which is unknown and varies from slot-to-slot. The AC losses of such windings are sensitive to the specific conductor lay present within the stator slot. However, limited data is currently available regarding the actual conductor lay observed in 'asmanufactured' windings. This paper presents the novel application of X-ray Computed Tomography to characterize the conductor lay in a wound prototype plastic stator. Preliminary results indicate that limited strand transposition occurs in the stator active length, compared to the significant strand transposition present in the end winding region. Variability in strand compaction in the stator slot is also identified as a contributary factor to the variability observed in AC losses.

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Statistical Simulation of Conductor Lay and AC Losses in Multi-Strand Stator Windings

Cited by 10 publications

References 12 publications

Designing for Conductor Lay and AC Loss Variability in Multistrand Stator Windings

Designing for Conductor Lay and AC Loss Variability in Multistrand Stator Windings

AC Losses in Windings: Review and Comparison of Models With Application in Electric Machines

Experimental Determination of Conductor Lay and Impact on AC Loss in Volume Manufactured Machines using X-Ray Computed Tomography

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