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Multivariable model predictive control of a compound power-split hybrid electric vehicle during the tip-in/out process
Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics ( IF 1.9 ) Pub Date : 2021-04-17 , DOI: 10.1177/1464419321998581
Ji Gao 1 , Diming Lou 1 , Tong Zhang 2 , Liang Fang 1 , Yunhua Zhang 1
Affiliation  

For a compound power split hybrid system, such as the Corun hybrid system (CHS), a frequently encountered problem is determining how to compensate for the inertia torque of the transmission via the torque distribution of the two motors. The equivalent inertia of the transmission is variable and depends on the angular acceleration. According to the traditional control scheme, the target torque of the motors is distributed by simplifying the output angular acceleration to 0. This simplification introduces deviations in the torque distribution, and it is difficult to guarantee the quality of the two control quantities simultaneously. Recent research has also focused only on the control quality of one of the outputs. To solve this problem, a direct MIMO control scheme is proposed in this paper that directly calculates the target torques of the two motors based on control deviations. A multivariable model predictive controller (MPC) was designed for the control of transient processes. The simulation results showed that the proposed control method can improve the control accuracy of two objectives significantly, and it has an excellent ability to reject torque disturbances.



中文翻译:

混合动力分流混合动力电动汽车在踩入/踩出过程中的多变量模型预测控制

对于复合动力分配混合动力系统,例如Corun混合动力系统(CHS),经常遇到的问题是确定如何通过两个电动机的转矩分配来补偿变速器的惯性转矩。变速箱的等效惯量是可变的,并且取决于角加速度。根据传统的控制方案,通过将输出角加速度简化为0来分配电动机的目标转矩。这种简化引入了转矩分布的偏差,并且难以同时保证两个控制量的质量。最近的研究还只集中在输出之一的控制质量上。为了解决这个问题,本文提出了一种直接的MIMO控制方案,该方案基于控制偏差直接计算两个电动机的目标转矩。设计了用于预测暂态过程的多变量模型预测控制器(MPC)。仿真结果表明,所提出的控制方法可以显着提高两个目标的控制精度,并且具有优良的抗转矩干扰能力。

更新日期:2021-04-18
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