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A Novel Torque Coordination Control Strategy of a Single-Shaft Parallel Hybrid Electric Vehicle Based on Model Predictive Control

机译:基于模型预测控制的单轴平行混合动力电动车的新型扭矩配位控制策略

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摘要

The torque coordination control during mode transition is a very important task for hybrid electric vehicle (HEV) with a clutch serving as the key enabling actuator element. Poor coordination will deteriorate the drivability of the driver and lead to excessive wearing to the clutch friction plates. In this paper, a novel torque coordination control strategy for a single-shaft parallel hybrid electric vehicle is presented to coordinate the motor torque, engine torque, and clutch torque so that the seamless mode switching can be achieved. Different to the existing model predictive control (MPC) methods, only one model predictive controller is needed and the clutch torque is taken as an optimized variable rather than a known parameter. Furthermore, the successful idea of model reference control (MRC) is also used for reference to generate the set-point signal required by MPC. The parameter sensitivity is studied for better performance of the proposed model predictive controller. The simulation results validate that the proposed novel torque coordination control strategy has less vehicle jerk, less torque interruption, and smaller clutch frictional losses, compared with the baseline method. In addition, the sensitivity and adaptiveness of the proposed novel torque coordination control strategy are evaluated.
机译:模式过渡期间的扭矩协调控制是混合动力电动车辆(HEV)的非常重要的任务,其具有作为键能致动器元件的离合器。协调不良会使驾驶员的驾驶能力恶化,导致离合器摩擦板过度磨损。本文提出了一种用于单轴平行混合动力电动车辆的新型扭矩配位控制策略,以协调电动机扭矩,发动机扭矩和离合器扭矩,从而可以实现无缝模式切换。与现有模型预测控制(MPC)方法不同,只需要一个模型预测控制器,并且离合器扭矩被视为优化的变量而不是已知参数。此外,模型参考控制(MRC)的成功概念也用于参考,以产生MPC所需的设定点信号。研究了参数灵敏度,以更好地性能进行所提出的模型预测控制器。与基线法相比,仿真结果验证了所提出的新型扭矩协调控制策略具有较低的车辆猛拉,扭矩中断和更小的离合器摩擦损失。此外,评估了所提出的新型扭矩协调控制策略的灵敏度和适应性。

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