Research on Deadbeat Current Prediction Vector Control System of Axial Flux Permanent Magnet Synchronous Motor for Electric Bus Based on Efficiency Optimal Torque Distribution Method

In order to improve the cruising range of electric bus, this paper studies the deadbeat current prediction vector control system of axial flux permanent magnet synchronous motor (AFPMSM) for electric bus based on the optimal torque distribution method. Firstly, the mathematical model of the three st...
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Autor*in:	Jianfei Zhao [verfasserIn] Lixiao Zheng [verfasserIn] Shuang Wang [verfasserIn] Minqi Hua [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	Electric bus AFPMSM BP neural network efficiency optimal torque distribution deadbeat current prediction control

Übergeordnetes Werk:	In: IEEE Access - IEEE, 2014, 7(2019), Seite 128384-128393
Übergeordnetes Werk:	volume:7 ; year:2019 ; pages:128384-128393

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1109/ACCESS.2019.2939759

Katalog-ID:	DOAJ069716129

Internformat


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520			\|a In order to improve the cruising range of electric bus, this paper studies the deadbeat current prediction vector control system of axial flux permanent magnet synchronous motor (AFPMSM) for electric bus based on the optimal torque distribution method. Firstly, the mathematical model of the three stators-double rotors AFPMSM is established. Secondly, in order to improve the high efficiency range, the efficiency optimal torque distribution method is proposed based on the average torque distribution method and the back propagation (BP) neural network is used to find the optimal torque distribution method. Then a current control strategy based on deadbeat current prediction control is proposed to improve the torque tracking characteristics. Finally, a drive control system is developed for the proposed control strategy, and experimental research and vehicle testing are carried out. The experimental results show that the BP neural network-based torque distribution method designed in this paper increases the high efficiency range of the drive system and improves the cruising range of the electric bus. The drive system using a current controller based on deadbeat current prediction control exhibits good dynamic and steady state performance.
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allfields	10.1109/ACCESS.2019.2939759 doi (DE-627)DOAJ069716129 (DE-599)DOAJ90f483a04adc4580b14cf244e52c40d0 DE-627 ger DE-627 rakwb eng TK1-9971 Jianfei Zhao verfasserin aut Research on Deadbeat Current Prediction Vector Control System of Axial Flux Permanent Magnet Synchronous Motor for Electric Bus Based on Efficiency Optimal Torque Distribution Method 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In order to improve the cruising range of electric bus, this paper studies the deadbeat current prediction vector control system of axial flux permanent magnet synchronous motor (AFPMSM) for electric bus based on the optimal torque distribution method. Firstly, the mathematical model of the three stators-double rotors AFPMSM is established. Secondly, in order to improve the high efficiency range, the efficiency optimal torque distribution method is proposed based on the average torque distribution method and the back propagation (BP) neural network is used to find the optimal torque distribution method. Then a current control strategy based on deadbeat current prediction control is proposed to improve the torque tracking characteristics. Finally, a drive control system is developed for the proposed control strategy, and experimental research and vehicle testing are carried out. The experimental results show that the BP neural network-based torque distribution method designed in this paper increases the high efficiency range of the drive system and improves the cruising range of the electric bus. The drive system using a current controller based on deadbeat current prediction control exhibits good dynamic and steady state performance. Electric bus AFPMSM BP neural network efficiency optimal torque distribution deadbeat current prediction control Electrical engineering. Electronics. Nuclear engineering Lixiao Zheng verfasserin aut Shuang Wang verfasserin aut Minqi Hua verfasserin aut In IEEE Access IEEE, 2014 7(2019), Seite 128384-128393 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:7 year:2019 pages:128384-128393 https://doi.org/10.1109/ACCESS.2019.2939759 kostenfrei https://doaj.org/article/90f483a04adc4580b14cf244e52c40d0 kostenfrei https://ieeexplore.ieee.org/document/8826575/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2019 128384-128393
spelling	10.1109/ACCESS.2019.2939759 doi (DE-627)DOAJ069716129 (DE-599)DOAJ90f483a04adc4580b14cf244e52c40d0 DE-627 ger DE-627 rakwb eng TK1-9971 Jianfei Zhao verfasserin aut Research on Deadbeat Current Prediction Vector Control System of Axial Flux Permanent Magnet Synchronous Motor for Electric Bus Based on Efficiency Optimal Torque Distribution Method 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In order to improve the cruising range of electric bus, this paper studies the deadbeat current prediction vector control system of axial flux permanent magnet synchronous motor (AFPMSM) for electric bus based on the optimal torque distribution method. Firstly, the mathematical model of the three stators-double rotors AFPMSM is established. Secondly, in order to improve the high efficiency range, the efficiency optimal torque distribution method is proposed based on the average torque distribution method and the back propagation (BP) neural network is used to find the optimal torque distribution method. Then a current control strategy based on deadbeat current prediction control is proposed to improve the torque tracking characteristics. Finally, a drive control system is developed for the proposed control strategy, and experimental research and vehicle testing are carried out. The experimental results show that the BP neural network-based torque distribution method designed in this paper increases the high efficiency range of the drive system and improves the cruising range of the electric bus. The drive system using a current controller based on deadbeat current prediction control exhibits good dynamic and steady state performance. Electric bus AFPMSM BP neural network efficiency optimal torque distribution deadbeat current prediction control Electrical engineering. Electronics. Nuclear engineering Lixiao Zheng verfasserin aut Shuang Wang verfasserin aut Minqi Hua verfasserin aut In IEEE Access IEEE, 2014 7(2019), Seite 128384-128393 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:7 year:2019 pages:128384-128393 https://doi.org/10.1109/ACCESS.2019.2939759 kostenfrei https://doaj.org/article/90f483a04adc4580b14cf244e52c40d0 kostenfrei https://ieeexplore.ieee.org/document/8826575/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2019 128384-128393
allfields_unstemmed	10.1109/ACCESS.2019.2939759 doi (DE-627)DOAJ069716129 (DE-599)DOAJ90f483a04adc4580b14cf244e52c40d0 DE-627 ger DE-627 rakwb eng TK1-9971 Jianfei Zhao verfasserin aut Research on Deadbeat Current Prediction Vector Control System of Axial Flux Permanent Magnet Synchronous Motor for Electric Bus Based on Efficiency Optimal Torque Distribution Method 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In order to improve the cruising range of electric bus, this paper studies the deadbeat current prediction vector control system of axial flux permanent magnet synchronous motor (AFPMSM) for electric bus based on the optimal torque distribution method. Firstly, the mathematical model of the three stators-double rotors AFPMSM is established. Secondly, in order to improve the high efficiency range, the efficiency optimal torque distribution method is proposed based on the average torque distribution method and the back propagation (BP) neural network is used to find the optimal torque distribution method. Then a current control strategy based on deadbeat current prediction control is proposed to improve the torque tracking characteristics. Finally, a drive control system is developed for the proposed control strategy, and experimental research and vehicle testing are carried out. The experimental results show that the BP neural network-based torque distribution method designed in this paper increases the high efficiency range of the drive system and improves the cruising range of the electric bus. The drive system using a current controller based on deadbeat current prediction control exhibits good dynamic and steady state performance. Electric bus AFPMSM BP neural network efficiency optimal torque distribution deadbeat current prediction control Electrical engineering. Electronics. Nuclear engineering Lixiao Zheng verfasserin aut Shuang Wang verfasserin aut Minqi Hua verfasserin aut In IEEE Access IEEE, 2014 7(2019), Seite 128384-128393 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:7 year:2019 pages:128384-128393 https://doi.org/10.1109/ACCESS.2019.2939759 kostenfrei https://doaj.org/article/90f483a04adc4580b14cf244e52c40d0 kostenfrei https://ieeexplore.ieee.org/document/8826575/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2019 128384-128393
allfieldsGer	10.1109/ACCESS.2019.2939759 doi (DE-627)DOAJ069716129 (DE-599)DOAJ90f483a04adc4580b14cf244e52c40d0 DE-627 ger DE-627 rakwb eng TK1-9971 Jianfei Zhao verfasserin aut Research on Deadbeat Current Prediction Vector Control System of Axial Flux Permanent Magnet Synchronous Motor for Electric Bus Based on Efficiency Optimal Torque Distribution Method 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In order to improve the cruising range of electric bus, this paper studies the deadbeat current prediction vector control system of axial flux permanent magnet synchronous motor (AFPMSM) for electric bus based on the optimal torque distribution method. Firstly, the mathematical model of the three stators-double rotors AFPMSM is established. Secondly, in order to improve the high efficiency range, the efficiency optimal torque distribution method is proposed based on the average torque distribution method and the back propagation (BP) neural network is used to find the optimal torque distribution method. Then a current control strategy based on deadbeat current prediction control is proposed to improve the torque tracking characteristics. Finally, a drive control system is developed for the proposed control strategy, and experimental research and vehicle testing are carried out. The experimental results show that the BP neural network-based torque distribution method designed in this paper increases the high efficiency range of the drive system and improves the cruising range of the electric bus. The drive system using a current controller based on deadbeat current prediction control exhibits good dynamic and steady state performance. Electric bus AFPMSM BP neural network efficiency optimal torque distribution deadbeat current prediction control Electrical engineering. Electronics. Nuclear engineering Lixiao Zheng verfasserin aut Shuang Wang verfasserin aut Minqi Hua verfasserin aut In IEEE Access IEEE, 2014 7(2019), Seite 128384-128393 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:7 year:2019 pages:128384-128393 https://doi.org/10.1109/ACCESS.2019.2939759 kostenfrei https://doaj.org/article/90f483a04adc4580b14cf244e52c40d0 kostenfrei https://ieeexplore.ieee.org/document/8826575/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2019 128384-128393
allfieldsSound	10.1109/ACCESS.2019.2939759 doi (DE-627)DOAJ069716129 (DE-599)DOAJ90f483a04adc4580b14cf244e52c40d0 DE-627 ger DE-627 rakwb eng TK1-9971 Jianfei Zhao verfasserin aut Research on Deadbeat Current Prediction Vector Control System of Axial Flux Permanent Magnet Synchronous Motor for Electric Bus Based on Efficiency Optimal Torque Distribution Method 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In order to improve the cruising range of electric bus, this paper studies the deadbeat current prediction vector control system of axial flux permanent magnet synchronous motor (AFPMSM) for electric bus based on the optimal torque distribution method. Firstly, the mathematical model of the three stators-double rotors AFPMSM is established. Secondly, in order to improve the high efficiency range, the efficiency optimal torque distribution method is proposed based on the average torque distribution method and the back propagation (BP) neural network is used to find the optimal torque distribution method. Then a current control strategy based on deadbeat current prediction control is proposed to improve the torque tracking characteristics. Finally, a drive control system is developed for the proposed control strategy, and experimental research and vehicle testing are carried out. The experimental results show that the BP neural network-based torque distribution method designed in this paper increases the high efficiency range of the drive system and improves the cruising range of the electric bus. The drive system using a current controller based on deadbeat current prediction control exhibits good dynamic and steady state performance. Electric bus AFPMSM BP neural network efficiency optimal torque distribution deadbeat current prediction control Electrical engineering. Electronics. Nuclear engineering Lixiao Zheng verfasserin aut Shuang Wang verfasserin aut Minqi Hua verfasserin aut In IEEE Access IEEE, 2014 7(2019), Seite 128384-128393 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:7 year:2019 pages:128384-128393 https://doi.org/10.1109/ACCESS.2019.2939759 kostenfrei https://doaj.org/article/90f483a04adc4580b14cf244e52c40d0 kostenfrei https://ieeexplore.ieee.org/document/8826575/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2019 128384-128393
language	English
source	In IEEE Access 7(2019), Seite 128384-128393 volume:7 year:2019 pages:128384-128393
sourceStr	In IEEE Access 7(2019), Seite 128384-128393 volume:7 year:2019 pages:128384-128393
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Electric bus AFPMSM BP neural network efficiency optimal torque distribution deadbeat current prediction control Electrical engineering. Electronics. Nuclear engineering
isfreeaccess_bool	true
container_title	IEEE Access
authorswithroles_txt_mv	Jianfei Zhao @@aut@@ Lixiao Zheng @@aut@@ Shuang Wang @@aut@@ Minqi Hua @@aut@@
publishDateDaySort_date	2019-01-01T00:00:00Z
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Firstly, the mathematical model of the three stators-double rotors AFPMSM is established. Secondly, in order to improve the high efficiency range, the efficiency optimal torque distribution method is proposed based on the average torque distribution method and the back propagation (BP) neural network is used to find the optimal torque distribution method. Then a current control strategy based on deadbeat current prediction control is proposed to improve the torque tracking characteristics. Finally, a drive control system is developed for the proposed control strategy, and experimental research and vehicle testing are carried out. The experimental results show that the BP neural network-based torque distribution method designed in this paper increases the high efficiency range of the drive system and improves the cruising range of the electric bus. 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callnumber-first	T - Technology
author	Jianfei Zhao
spellingShingle	Jianfei Zhao misc TK1-9971 misc Electric bus misc AFPMSM misc BP neural network misc efficiency optimal torque distribution misc deadbeat current prediction control misc Electrical engineering. Electronics. Nuclear engineering Research on Deadbeat Current Prediction Vector Control System of Axial Flux Permanent Magnet Synchronous Motor for Electric Bus Based on Efficiency Optimal Torque Distribution Method
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topic_title	TK1-9971 Research on Deadbeat Current Prediction Vector Control System of Axial Flux Permanent Magnet Synchronous Motor for Electric Bus Based on Efficiency Optimal Torque Distribution Method Electric bus AFPMSM BP neural network efficiency optimal torque distribution deadbeat current prediction control
topic	misc TK1-9971 misc Electric bus misc AFPMSM misc BP neural network misc efficiency optimal torque distribution misc deadbeat current prediction control misc Electrical engineering. Electronics. Nuclear engineering
topic_unstemmed	misc TK1-9971 misc Electric bus misc AFPMSM misc BP neural network misc efficiency optimal torque distribution misc deadbeat current prediction control misc Electrical engineering. Electronics. Nuclear engineering
topic_browse	misc TK1-9971 misc Electric bus misc AFPMSM misc BP neural network misc efficiency optimal torque distribution misc deadbeat current prediction control misc Electrical engineering. Electronics. Nuclear engineering
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title	Research on Deadbeat Current Prediction Vector Control System of Axial Flux Permanent Magnet Synchronous Motor for Electric Bus Based on Efficiency Optimal Torque Distribution Method
ctrlnum	(DE-627)DOAJ069716129 (DE-599)DOAJ90f483a04adc4580b14cf244e52c40d0
title_full	Research on Deadbeat Current Prediction Vector Control System of Axial Flux Permanent Magnet Synchronous Motor for Electric Bus Based on Efficiency Optimal Torque Distribution Method
author_sort	Jianfei Zhao
journal	IEEE Access
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author_browse	Jianfei Zhao Lixiao Zheng Shuang Wang Minqi Hua
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title_sort	research on deadbeat current prediction vector control system of axial flux permanent magnet synchronous motor for electric bus based on efficiency optimal torque distribution method
callnumber	TK1-9971
title_auth	Research on Deadbeat Current Prediction Vector Control System of Axial Flux Permanent Magnet Synchronous Motor for Electric Bus Based on Efficiency Optimal Torque Distribution Method
abstract	In order to improve the cruising range of electric bus, this paper studies the deadbeat current prediction vector control system of axial flux permanent magnet synchronous motor (AFPMSM) for electric bus based on the optimal torque distribution method. Firstly, the mathematical model of the three stators-double rotors AFPMSM is established. Secondly, in order to improve the high efficiency range, the efficiency optimal torque distribution method is proposed based on the average torque distribution method and the back propagation (BP) neural network is used to find the optimal torque distribution method. Then a current control strategy based on deadbeat current prediction control is proposed to improve the torque tracking characteristics. Finally, a drive control system is developed for the proposed control strategy, and experimental research and vehicle testing are carried out. The experimental results show that the BP neural network-based torque distribution method designed in this paper increases the high efficiency range of the drive system and improves the cruising range of the electric bus. The drive system using a current controller based on deadbeat current prediction control exhibits good dynamic and steady state performance.
abstractGer	In order to improve the cruising range of electric bus, this paper studies the deadbeat current prediction vector control system of axial flux permanent magnet synchronous motor (AFPMSM) for electric bus based on the optimal torque distribution method. Firstly, the mathematical model of the three stators-double rotors AFPMSM is established. Secondly, in order to improve the high efficiency range, the efficiency optimal torque distribution method is proposed based on the average torque distribution method and the back propagation (BP) neural network is used to find the optimal torque distribution method. Then a current control strategy based on deadbeat current prediction control is proposed to improve the torque tracking characteristics. Finally, a drive control system is developed for the proposed control strategy, and experimental research and vehicle testing are carried out. The experimental results show that the BP neural network-based torque distribution method designed in this paper increases the high efficiency range of the drive system and improves the cruising range of the electric bus. The drive system using a current controller based on deadbeat current prediction control exhibits good dynamic and steady state performance.
abstract_unstemmed	In order to improve the cruising range of electric bus, this paper studies the deadbeat current prediction vector control system of axial flux permanent magnet synchronous motor (AFPMSM) for electric bus based on the optimal torque distribution method. Firstly, the mathematical model of the three stators-double rotors AFPMSM is established. Secondly, in order to improve the high efficiency range, the efficiency optimal torque distribution method is proposed based on the average torque distribution method and the back propagation (BP) neural network is used to find the optimal torque distribution method. Then a current control strategy based on deadbeat current prediction control is proposed to improve the torque tracking characteristics. Finally, a drive control system is developed for the proposed control strategy, and experimental research and vehicle testing are carried out. The experimental results show that the BP neural network-based torque distribution method designed in this paper increases the high efficiency range of the drive system and improves the cruising range of the electric bus. The drive system using a current controller based on deadbeat current prediction control exhibits good dynamic and steady state performance.
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title_short	Research on Deadbeat Current Prediction Vector Control System of Axial Flux Permanent Magnet Synchronous Motor for Electric Bus Based on Efficiency Optimal Torque Distribution Method
url	https://doi.org/10.1109/ACCESS.2019.2939759 https://doaj.org/article/90f483a04adc4580b14cf244e52c40d0 https://ieeexplore.ieee.org/document/8826575/ https://doaj.org/toc/2169-3536
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author2	Lixiao Zheng Shuang Wang Minqi Hua
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up_date	2024-07-04T00:23:32.230Z
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Research on Deadbeat Current Prediction Vector Control System of Axial Flux Permanent Magnet Synchronous Motor for Electric Bus Based on Efficiency Optimal Torque Distribution Method

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