Online parameter estimation of PMSM in EV powertrain Including thermal measurements

Arnout Zwartbol; Jianning Dong; Pavol Bauer; Henk Polinder

doi:10.1109/ITEC.2019.8790461

Online parameter estimation of PMSM in EV powertrain Including thermal measurements

Arnout Zwartbol, Jianning Dong, Pavol Bauer, Henk Polinder

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

1 Citation (Scopus)

46 Downloads (Pure)

Abstract

This paper proposes an online motor-parameter-estimator for a permanent magnet synchronous motor (PMSM) in an electric vehicle (EV) powertrain. The proposed method uses a recursive least squares filter approach in combination with the discrete time dynamic voltage equations. Stator resistance estimation is decoupled from the estimator using thermal measurements. Compared to conventional approach, the proposed method is more reliable and less noisy since it does not rely on the low contribution of stator resistance in the voltage equation. Both simulations and experiments are carried out to validate the proposed method. A sensitivity analysis shows the approach is robust against rotor position error.

Original language	English
Title of host publication	Proceedings 2019 IEEE Transportation Electrification Conference and Expo (ITEC)
Place of Publication	Piscataway, NJ, USA
Publisher	IEEE
Number of pages	6
ISBN (Electronic)	978-1-5386-9310-0
ISBN (Print)	978-1-5386-9311-7
DOIs	https://doi.org/10.1109/ITEC.2019.8790461
Publication status	Published - 2019
Event	2019 IEEE Transportation Electrification Conference and Expo, ITEC 2019 - Novi, United States Duration: 19 Jun 2019 → 21 Jun 2019

Conference

Conference	2019 IEEE Transportation Electrification Conference and Expo, ITEC 2019
Country/Territory	United States
City	Novi
Period	19/06/19 → 21/06/19

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Access to Document

10.1109/ITEC.2019.8790461

Online_Parameter_Estimation_of_PMSM_in_EV_Powertrain_Including_Thermal_MeasurementsFinal published version, 1.52 MB

Cite this

@inproceedings{222bb71a1f9a4f429048eff06b6fa561,

title = "Online parameter estimation of PMSM in EV powertrain Including thermal measurements",

abstract = "This paper proposes an online motor-parameter-estimator for a permanent magnet synchronous motor (PMSM) in an electric vehicle (EV) powertrain. The proposed method uses a recursive least squares filter approach in combination with the discrete time dynamic voltage equations. Stator resistance estimation is decoupled from the estimator using thermal measurements. Compared to conventional approach, the proposed method is more reliable and less noisy since it does not rely on the low contribution of stator resistance in the voltage equation. Both simulations and experiments are carried out to validate the proposed method. A sensitivity analysis shows the approach is robust against rotor position error.",

author = "Arnout Zwartbol and Jianning Dong and Pavol Bauer and Henk Polinder",

note = "Green Open Access added to TU Delft Institutional Repository {\textquoteleft}You share, we take care!{\textquoteright} – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.; 2019 IEEE Transportation Electrification Conference and Expo, ITEC 2019 ; Conference date: 19-06-2019 Through 21-06-2019",

year = "2019",

doi = "10.1109/ITEC.2019.8790461",

language = "English",

isbn = "978-1-5386-9311-7",

booktitle = "Proceedings 2019 IEEE Transportation Electrification Conference and Expo (ITEC)",

publisher = "IEEE",

address = "United States",

}

Zwartbol, A, Dong, J , Bauer, P & Polinder, H 2019, Online parameter estimation of PMSM in EV powertrain Including thermal measurements. in Proceedings 2019 IEEE Transportation Electrification Conference and Expo (ITEC)., 8790461, IEEE, Piscataway, NJ, USA, 2019 IEEE Transportation Electrification Conference and Expo, ITEC 2019, Novi, United States, 19/06/19. https://doi.org/10.1109/ITEC.2019.8790461

Online parameter estimation of PMSM in EV powertrain Including thermal measurements. / Zwartbol, Arnout; Dong, Jianning ; Bauer, Pavol et al.
Proceedings 2019 IEEE Transportation Electrification Conference and Expo (ITEC). Piscataway, NJ, USA: IEEE, 2019. 8790461.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Online parameter estimation of PMSM in EV powertrain Including thermal measurements

AU - Zwartbol, Arnout

AU - Dong, Jianning

AU - Bauer, Pavol

AU - Polinder, Henk

N1 - Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

PY - 2019

Y1 - 2019

N2 - This paper proposes an online motor-parameter-estimator for a permanent magnet synchronous motor (PMSM) in an electric vehicle (EV) powertrain. The proposed method uses a recursive least squares filter approach in combination with the discrete time dynamic voltage equations. Stator resistance estimation is decoupled from the estimator using thermal measurements. Compared to conventional approach, the proposed method is more reliable and less noisy since it does not rely on the low contribution of stator resistance in the voltage equation. Both simulations and experiments are carried out to validate the proposed method. A sensitivity analysis shows the approach is robust against rotor position error.

AB - This paper proposes an online motor-parameter-estimator for a permanent magnet synchronous motor (PMSM) in an electric vehicle (EV) powertrain. The proposed method uses a recursive least squares filter approach in combination with the discrete time dynamic voltage equations. Stator resistance estimation is decoupled from the estimator using thermal measurements. Compared to conventional approach, the proposed method is more reliable and less noisy since it does not rely on the low contribution of stator resistance in the voltage equation. Both simulations and experiments are carried out to validate the proposed method. A sensitivity analysis shows the approach is robust against rotor position error.

UR - http://www.scopus.com/inward/record.url?scp=85071308415&partnerID=8YFLogxK

U2 - 10.1109/ITEC.2019.8790461

DO - 10.1109/ITEC.2019.8790461

M3 - Conference contribution

SN - 978-1-5386-9311-7

BT - Proceedings 2019 IEEE Transportation Electrification Conference and Expo (ITEC)

PB - IEEE

CY - Piscataway, NJ, USA

T2 - 2019 IEEE Transportation Electrification Conference and Expo, ITEC 2019

Y2 - 19 June 2019 through 21 June 2019

ER -

Online parameter estimation of PMSM in EV powertrain Including thermal measurements

Abstract

Conference

Bibliographical note

Access to Document

Other files and links

Fingerprint

Cite this