Real-Time Estimation of PMSM Rotor Flux Linkage for EV Application under Steady State and Free-Running Conditions

A method for real-time estimation of rotor flux linkage of permanent-magnet synchronous machines (PMSMs) under both steady state and free-running conditions is proposed in this paper. At steady state, a method for the estimation of rotor flux linkage is proposed based on the injection of variable-pe...

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Main Authors: Bisheng Wen, Kan Liu, Jing Zhou, Shichao Zhou, Wei Hu, Yongdan Chen, Chao Huang, Qing Huang
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:World Electric Vehicle Journal
Subjects:
Online Access:https://www.mdpi.com/2032-6653/13/5/83
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author Bisheng Wen
Kan Liu
Jing Zhou
Shichao Zhou
Wei Hu
Yongdan Chen
Chao Huang
Qing Huang
author_facet Bisheng Wen
Kan Liu
Jing Zhou
Shichao Zhou
Wei Hu
Yongdan Chen
Chao Huang
Qing Huang
author_sort Bisheng Wen
collection DOAJ
description A method for real-time estimation of rotor flux linkage of permanent-magnet synchronous machines (PMSMs) under both steady state and free-running conditions is proposed in this paper. At steady state, a method for the estimation of rotor flux linkage is proposed based on the injection of variable-period zero-voltage perturbation, of which the accuracy is irrespective of the influence of voltage-source inverter (VSI) nonlinearity. Moreover, for the estimation of rotor flux linkage under free-running condition, due to system inertia after shutdown or fault in the motor driver, an effective approach using history data recorded at different transients of rotor speeds is developed, which has eliminated the influence of VSI nonlinearity during the modeling process. The proposed two methods are experimentally validated on a down-sized PMSM prototyped for electric vehicle application, which shows good performance for the estimation of rotor flux linkage under both steady state and free-running conditions.
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spelling doaj.art-71902dda260a44a69999bbb3d81028722023-11-23T13:36:21ZengMDPI AGWorld Electric Vehicle Journal2032-66532022-05-011358310.3390/wevj13050083Real-Time Estimation of PMSM Rotor Flux Linkage for EV Application under Steady State and Free-Running ConditionsBisheng Wen0Kan Liu1Jing Zhou2Shichao Zhou3Wei Hu4Yongdan Chen5Chao Huang6Qing Huang7College of Mechanical and Vehicle Engineering, Hunan University, Changsha 410082, ChinaCollege of Mechanical and Vehicle Engineering, Hunan University, Changsha 410082, ChinaCollege of Mechanical and Vehicle Engineering, Hunan University, Changsha 410082, ChinaCollege of Mechanical and Vehicle Engineering, Hunan University, Changsha 410082, ChinaCollege of Mechanical and Vehicle Engineering, Hunan University, Changsha 410082, ChinaChina North Vehicle Research Institution, Beijing 100072, ChinaChina Railway Rolling Stock Corporation, Zhuzhou 412001, ChinaChina Railway Rolling Stock Corporation, Zhuzhou 412001, ChinaA method for real-time estimation of rotor flux linkage of permanent-magnet synchronous machines (PMSMs) under both steady state and free-running conditions is proposed in this paper. At steady state, a method for the estimation of rotor flux linkage is proposed based on the injection of variable-period zero-voltage perturbation, of which the accuracy is irrespective of the influence of voltage-source inverter (VSI) nonlinearity. Moreover, for the estimation of rotor flux linkage under free-running condition, due to system inertia after shutdown or fault in the motor driver, an effective approach using history data recorded at different transients of rotor speeds is developed, which has eliminated the influence of VSI nonlinearity during the modeling process. The proposed two methods are experimentally validated on a down-sized PMSM prototyped for electric vehicle application, which shows good performance for the estimation of rotor flux linkage under both steady state and free-running conditions.https://www.mdpi.com/2032-6653/13/5/83permanent-magnet synchronous machinesreal-time estimationrotor flux linkagevoltage-source inverter nonlinearity
spellingShingle Bisheng Wen
Kan Liu
Jing Zhou
Shichao Zhou
Wei Hu
Yongdan Chen
Chao Huang
Qing Huang
Real-Time Estimation of PMSM Rotor Flux Linkage for EV Application under Steady State and Free-Running Conditions
World Electric Vehicle Journal
permanent-magnet synchronous machines
real-time estimation
rotor flux linkage
voltage-source inverter nonlinearity
title Real-Time Estimation of PMSM Rotor Flux Linkage for EV Application under Steady State and Free-Running Conditions
title_full Real-Time Estimation of PMSM Rotor Flux Linkage for EV Application under Steady State and Free-Running Conditions
title_fullStr Real-Time Estimation of PMSM Rotor Flux Linkage for EV Application under Steady State and Free-Running Conditions
title_full_unstemmed Real-Time Estimation of PMSM Rotor Flux Linkage for EV Application under Steady State and Free-Running Conditions
title_short Real-Time Estimation of PMSM Rotor Flux Linkage for EV Application under Steady State and Free-Running Conditions
title_sort real time estimation of pmsm rotor flux linkage for ev application under steady state and free running conditions
topic permanent-magnet synchronous machines
real-time estimation
rotor flux linkage
voltage-source inverter nonlinearity
url https://www.mdpi.com/2032-6653/13/5/83
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