Estimation of motor parameters for an electrical vehicle application

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F14%3A00218903" target="_blank" >RIV/68407700:21220/14:00218903 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Estimation of motor parameters for an electrical vehicle application

Original language description

This paper deals with an online motor parameters estimation algorithm. The proposed estimator algorithm is implemented on an electrical vehicle prototype, in order to discern the influence of the speed variation on the motor parameters, such as stator resistance and inductance and on the magnet used in the rotor, especially at a high speed mode. The high speed running mode is extremely required in the traction and electrical vehicle application. This last mode induces problems related especially to themotor temperature rising. Hence, the temperature motor variation modifies the values of the motor parameters and specially, the stator resistance and the magnet flux. Therefore, this work is elaborated, to clarify this running mode and its impact on themotor behaviour. Two essential methods are applied in order to validate the obtained results. The software method is based on the model reference adaptive system (MRAS) technique and the hardware method used specific measurement materials

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JB - Sensors, detecting elements, measurement and regulation

OECD FORD branch

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Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2014

Confidentiality

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

Name of the periodical

International Journal of Modelling, Identification and Control

ISSN

1746-6172

e-ISSN

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Volume of the periodical

22

Issue of the periodical within the volume

2

Country of publishing house

CH - SWITZERLAND

Number of pages

9

Pages from-to

150-158

UT code for WoS article

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EID of the result in the Scopus database

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