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Composite predictive trajectory control of HS-PMSM with LCL filter for hydrogen electric vehicle at low fuel condition.

Authors :
Cheng, Zhenxing
Li, Liyi
Liu, Jiaxi
Source :
AEU: International Journal of Electronics & Communications. Sep2024, Vol. 184, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

Limitations in current fuel cell technology lead to instability in output voltage for hydrogen fuel cells, particularly under the influence of temperature variations and fuel flow fluctuations, thereby affecting the normal operation of hydrogen-powered vehicles. Improving the motor drive control system and optimizing energy management are crucial for enhancing overall vehicle performance. To improve dynamic response speed while suppressing harmonics, this paper proposes a predictive control strategy for high-speed permanent magnet synchronous motors with LCL filter in hydrogen fuel cell electric vehicles. The proposed control strategy suppresses high-frequency current harmonics by sampling only the current on the motor side, enabling fast predictive control of the high-order system motor-side current. Additionally, to mitigate the issue of unstable torque output of the electric motor at low fuel levels, this paper proposes a new composite predictive torque trajectory control strategy based on the previous control strategy. This strategy ensures rapid and accurate tracking of motor output torque, particularly during decreases in fuel cell output voltage. Experimental results validate the feasibility and effectiveness of the proposed control strategies in this paper. • Torque stability control of hydrogen electric vehicle under low fuel state. • Predictive current direct control for LCL-equipped high-speed PMSM drive based on single-sensor. • A composite predictive current trajectory control strategy balancing small steady-state error and fast dynamic response. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14348411
Volume :
184
Database :
Academic Search Index
Journal :
AEU: International Journal of Electronics & Communications
Publication Type :
Academic Journal
Accession number :
179106374
Full Text :
https://doi.org/10.1016/j.aeue.2024.155377