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Model based predictive torque control of an electric variable transmission for hybrid electric vehicles

机译:基于模型的混合动力电动汽车无级变速器的预测扭矩控制

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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.
机译:在本文中,提出了一种用于混合动力电动汽车(HEV)的基于感应电机(IM)的电动变速箱(EVT)的控制策略。这种电机由两个转子组成,从而导致功率分配以及内燃机(ICE)速度和车轮速度的解耦。所提出的控制方法依赖于基于有限集模型的预测控制(FS-MBPC)算法来控制两个转子的转矩以及机器内的磁通水平。该控制器的优点在于,由于使用成本函数的该控制器内的优化程序,其磁场弱化和固有的焦耳损耗显着降低的固有特征。由于本文的重点是控制方法,因此在Matlab / Simulink中进行了仿真运行,以评估所提出的控制方法的可行性和有效性。

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