Model Based Predictive Torque Control of an Electric Variable Transmission for Hybrid Electric Vehicles

被引:0
|
作者
De Belie, F. [1 ]
De Brabandere, E. [1 ]
Druant, J. [1 ]
Sergeant, E. [1 ]
Melkebeek, J. [1 ]
机构
[1] Ghent Univ UGent, Dept Elect Energy Syst & Automat EESA, Technol Pk 913, B-9052 Zwijnaarde, Belgium
关键词
model based predictive control; electric variable transmission; hybrid electric vehicles; FPGA; predictive torque control;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this article a control strategy for an induction machine (IM) based electric variable transmission (EVT) for hybrid electrical vehicles (HEV) is presented. Such electrical machines consists out of two rotors resulting in a power split and a decoupling of the internal combustion engine (ICE) speed and wheel speed. The proposed control method relies on a finite-set model based predictive control (FS-MBPC) algorithm to steer the torque of both rotors as well as the flux level within the machine. The advantage of this controller is the inherent feature of field weakening and strong reduction of Joule losses as a result of the optimisation routines within this controller using a cost function. As the focus of this paper is on the control method, simulation runs in Matlab/Simulink are performed to asses the feasibility and effectiveness of the proposed control method.
引用
收藏
页码:1203 / 1207
页数:5
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