Methodology for Calculation of Efficiency Maps for Permanent Magnet Synchronous Motors from Sparse Measured Data

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F20%3A00344026" target="_blank" >RIV/68407700:21220/20:00344026 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Methodology for Calculation of Efficiency Maps for Permanent Magnet Synchronous Motors from Sparse Measured Data

Popis výsledku v původním jazyce

This paper presents a methodology to evaluate the efficiency map of a permanent magnet synchronous machine (PMSM) from sparse measured data. The methodology is based on a model of losses of the machine. Based on the model the efficiency at an arbitrary point can be calculated and an error between the calculation and measurement can be determined. The mathematical model is adapted in such a way that the error between the model and experiment is minimized. The model has from 7 to 20 adapted parameters. The search for the optimal parameters is done with two approaches: brute force and Monte Carlo search. The results are compared in the paper. With the Monte Carlo search the algorithm finishes in few minutes, based on the number of parameters. The result is an analytical function for the efficiency map and the efficiency can be calculated at an arbitrary point with arbitrary precision. The resulting fit between the measured and calculated map is within a few percent difference.

Název v anglickém jazyce

Methodology for Calculation of Efficiency Maps for Permanent Magnet Synchronous Motors from Sparse Measured Data

Popis výsledku anglicky

This paper presents a methodology to evaluate the efficiency map of a permanent magnet synchronous machine (PMSM) from sparse measured data. The methodology is based on a model of losses of the machine. Based on the model the efficiency at an arbitrary point can be calculated and an error between the calculation and measurement can be determined. The mathematical model is adapted in such a way that the error between the model and experiment is minimized. The model has from 7 to 20 adapted parameters. The search for the optimal parameters is done with two approaches: brute force and Monte Carlo search. The results are compared in the paper. With the Monte Carlo search the algorithm finishes in few minutes, based on the number of parameters. The result is an analytical function for the efficiency map and the efficiency can be calculated at an arbitrary point with arbitrary precision. The resulting fit between the measured and calculated map is within a few percent difference.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

<a href="/cs/project/FV30213" target="_blank" >FV30213: Výzkum a vývoj trakčního systému elektrobusu s vyšší účinností</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2020 19th International Conference on Mechatronics - Mechatronika (ME)

ISBN

978-1-7281-5602-6

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

232-237

Název nakladatele

IEEE

Místo vydání

Piscataway (New Jersey)

Místo konání akce

Praha

Datum konání akce

2. 12. 2020

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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