Review of recent advanced predictive control methods for motor drive systems in transportation electrification

In recent years, the need to ensure the secure and efficient functionality of electric vehicles, more-electric aircraft, and all-electric ships has driven the development of sophisticated control techniques uniquely suited to diverse motor-drive systems. Predictive control methods stand out for their adaptability, multi-objective capabilities, and ease of managing constraints and nonlinearities. The primary objective is to enhance the stability and responsiveness of electric motor control systems, a goal that resonates with the findings of numerous academic studies. It is also imperative to minimize computational burden, which is a critical factor in the engineering of these systems. Furthermore, considering the inevitability of parameter fluctuations in motor control systems due to prolonged use, it is essential to strengthen the robustness of control methodologies. Fault tolerance is a vital aspect and needs to be considered, particularly for applications in the transportation industry. This paper provides a comprehensive review of recently developed advanced predictive control methods for motor-drive systems in the context of transportation electrification. This emphasizes the enhancement of system performance, alleviation of computational load, strengthening of robustness, and integration of fault-tolerance mechanisms.

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Publication Details

Journal
Chinese Journal of Electrical Engineering
Published
2025-05-06
DOI
https://doi.org/10.23919/cjee.2025.000125
Primary Topic
Electric and Hybrid Vehicle Technologies
Type
article
Field-Weighted Citation Impact
0.00
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article

Review of recent advanced predictive control methods for motor drive systems in transportation electrification

Chun Gan, Yang Xiao, Yihua Hu, Kai Ni et al.
Chinese Journal of Electrical Engineering
Electric and Hybrid Vehicle Technologies
article

Review of recent advanced predictive control methods for motor drive systems in transportation electrification

Chun Gan, Yang Xiao, Yihua Hu, Kai Ni, José Rodríguez, Mingdi Fan, Yong Yang
article en

Abstract

In recent years, the need to ensure the secure and efficient functionality of electric vehicles, more-electric aircraft, and all-electric ships has driven the development of sophisticated control techniques uniquely suited to diverse motor-drive systems. Predictive control methods stand out for their adaptability, multi-objective capabilities, and ease of managing constraints and nonlinearities. The primary objective is to enhance the stability and responsiveness of electric motor control systems, a goal that resonates with the findings of numerous academic studies. It is also imperative to minimize computational burden, which is a critical factor in the engineering of these systems. Furthermore, considering the inevitability of parameter fluctuations in motor control systems due to prolonged use, it is essential to strengthen the robustness of control methodologies. Fault tolerance is a vital aspect and needs to be considered, particularly for applications in the transportation industry. This paper provides a comprehensive review of recently developed advanced predictive control methods for motor-drive systems in the context of transportation electrification. This emphasizes the enhancement of system performance, alleviation of computational load, strengthening of robustness, and integration of fault-tolerance mechanisms.

Chinese Journal of Electrical Engineering
King's College London (GB), San Sebastián University (CL), Soochow University (CN), Huazhong University of Science and Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 91%
Electric and Hybrid Vehicle Technologies
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