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Torque Coordinated Control of Four In-Wheel Motor Independent-Drive Vehicles With Consideration of the Safety and Economy

机译:兼顾安全性和经济性的四轮独立式车辆转矩协调控制

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摘要

How to reasonably coordinate and control the torque of four wheels to enhance vehicle performance is an important research problem of the four in-wheel-motor independent-drive electric vehicle (4MIDEV). In this paper, a coordinated hierarchical control strategy for the dynamic wheel torque of 4MIDEV steering is proposed, which considers both safety and energy-saving performance. The innovation of this paper lies in two new valuable algorithms in the top and bottom level controller, respectively. Besides the optimal control method on the basis of the 2-degree of freedom (DoF) ideal model in the top level controller, a novel model predictive control method based on the 7-DoF dynamic model is put forward to obtain two virtual generalized forces required during vehicle driving. In the bottom level controller, a novel optimal allocation (OA) algorithm is brought forward to improve the safety and energy-saving performance. The tire stability margin and the electric power of driving system balancing the driving energy consumption and regenerative braking energy recovery are considered in the quadratic objective function of OA algorithm at the same time. Carsim-Simulink joint simulation results under open-loop and closed-loop steering conditions illustrate that, compared with the 2-DoF LQR control method, the 7-DoF MPC method could effectively improve vehicle handling stability and safety. The bottom optimal allocation algorithm can not only improve the vehicle handling stability, but also make the driving system more energy-saving.
机译:如何合理地协调和控制四个车轮的扭矩以增强车辆性能是四轮电动机独立驱动电动汽车(4MIDEV)的重要研究问题。本文提出了一种4MIDEV转向动态轮扭矩的协调分级控制策略,该策略兼顾了安全性和节能性能。本文的创新之处在于顶层控制器和底层控制器中的两个新的有价值的算法。除了在顶层控制器中基于2自由度(DoF)理想模型的最优控制方法之外,还提出了一种基于7自由度动态模型的模型预测控制方法,以获得所需的两个虚拟广义力。在车辆行驶过程中。在底层控制器中,提出了一种新颖的最优分配算法,以提高安全性和节能性能。在OA算法的二次目标函数中,同时考虑了轮胎的稳定性裕度和平衡驱动能量消耗和再生制动能量回收的驱动系统电力。在开环和闭环转向条件下的Carsim-Simulink联合仿真结果表明,与2自由度LQR控制方法相比,7自由度MPC方法可以有效地提高车辆的操纵稳定性和安全性。底部最优分配算法不仅可以提高车辆的操纵稳定性,而且可以使驱动系统更加节能。

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