Journal ArticleDOI
A Novel Strategy of Control Performance Improvement for Six-Phase Permanent Magnet Synchronous Hub Motor Drives of EVs Under New European Driving Cycle
Long Chen,Hao Xu,Xiaodong Sun +2 more
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TLDR
In this paper, the authors proposed a model predictive current control (MPCC) method of six-phase permanent magnet synchronous hub motor (PMSHM) using auxiliary voltage vectors.Abstract:
This paper proposes a model predictive current control (MPCC) method of six-phase permanent magnet synchronous hub motor (PMSHM) using auxiliary voltage vectors. First of all, 26 voltage vectors can be obtained from the switching states of six inverters, and 24 auxiliary voltage vectors can be generated by combining them. Second, four virtual voltage vectors can be found through the required locations, and the two vectors with the lowest cost will be selected by cost function. Then, additional current error correction module can better track the current. Finally, the proposed method is compared with the conventional MPCC method and another method with virtual voltage vectors. The innovation of this paper is that the recombination of vectors can better track and predict the current. A current error compensation module is added to reduce the error between the actual current and the predicted current. And the experimental results show that the proposed method has better performance such as smaller torque ripple and current THD both in steady and dynamic states. Finally, the strategy proposed in this paper was applied to the vehicle model through HIL test platform. The possibility of applying the strategy proposed in this paper to pure electric vehicles was verified under New European Driving Cycle (NEDC).read more
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Journal ArticleDOI
Fault-Tolerant Operation of a Six-Phase Permanent Magnet Synchronous Hub Motor Based on Model Predictive Current Control With Virtual Voltage Vectors
TL;DR: In this paper , the authors proposed a model predictive current control (MPCC) compensation method based on virtual voltage vectors for single-phase open-circuit faults of an asymmetric six-phase permanent magnet synchronous hub motor (PMHSM).
Journal ArticleDOI
Finite-Control-Set Model Predictive Control of Permanent Magnet Synchronous Motor Drive Systems—An Overview
TL;DR: In this article , the authors provide an overview of the advantages of the Finite Control Set Model Predictive Control (FCS-MPC) control scheme and its shortcomings in current applications.
Journal ArticleDOI
Finite-Control-Set Model Predictive Control of Permanent Magnet Synchronous Motor Drive Systems—An Overview
TL;DR: In this article , the authors provide an overview of the advantages of the Finite Control Set Model Predictive Control (FCS-MPC) control scheme and its shortcomings in current applications.
Journal ArticleDOI
Model predictive flux control of six-phase permanent magnet synchronous motor with novel virtual voltage vectors
Mingqi Yao,J. Peng,Xiaodong Sun +2 more
Journal ArticleDOI
Joint Estimation of State-of-Health and State-of-Charge for Lithium-Ion Battery Based on Electrochemical Model Optimized by Neural Network
TL;DR: In this article , a simplified battery electrochemical model called single particle model is employed to obtain the number of recyclable lithium-ions at different aging degrees and the lithium-ion changes of solid particles with different loaded currents.
References
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Computation Resource Allocation and Task Assignment Optimization in Vehicular Fog Computing: A Contract-Matching Approach
TL;DR: This paper proposes an efficient incentive mechanism based on contract theoretical modeling to minimize the network delay from a contract-matching integration perspective and demonstrates that significant performance improvement can be achieved by the proposed scheme.
Journal ArticleDOI
Deadbeat Model-Predictive Torque Control With Discrete Space-Vector Modulation for PMSM Drives
Yuanlin Wang,Xiaocan Wang,Wei Xie,Fengxiang Wang,Manfeng Dou,Ralph Kennel,Robert D. Lorenz,Dieter Gerling +7 more
TL;DR: This paper proposes an alternative strategy of finite-control-set model-predictive torque control (MPTC) to reduce the computational burden and the torque ripple and decouple the switching frequency from the controller sampling time.
Journal ArticleDOI
Multi-Objective Design Optimization of an IPMSM Based on Multilevel Strategy
TL;DR: It is found that the proposed method can provide optimal design schemes with a better performance, such as smaller torque ripple and lower power loss for the investigated IPMSM, while the needed computation cost is reduced significantly.
Journal ArticleDOI
Direct Torque Control Scheme for a Six-Phase Induction Motor With Reduced Torque Ripple
TL;DR: In this paper, an improved direct torque control (DTC) method for an asymmetrical six-phase induction motor using a two-level 6-phase inverter is presented.
Journal ArticleDOI
A Comparative Study of State-of-the-Art Deep Learning Algorithms for Vehicle Detection
TL;DR: Five mainstream deep learning object detection algorithms in vehicle detection, namely the faster RCNN, R-FCN, SSD, RetinaNet, and YOLOv3 on the KITTI data are compared and analyzed and the PR curve and AP value are used to evaluate the detection accuracy.