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Research on Electric Vehicle Braking Force Distribution for Maximizing Energy Regeneration

机译:用于最大化能量再生的电动车辆制动力分配研究

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The driving range of the electric vehicle (EV) greatly restricts the development of EVs. The vehicles waste plenty of energy on account of automobiles frequently braking under the city cycle. The regenerative braking system can convert the braking kinetic energy into the electrical energy and then returns to the battery, so the energy regeneration could prolong theregenerative braking system. According to the characteristics of robustness in regenerative braking, both regenerative braking and friction braking based on fuzzy logic are assigned after the front-rear axle’s braking force is distributed to meet the requirement of braking security and high-efficient braking energy regeneration. Among the model, the vehicle model and the mechanical braking system is built by the CRUISE software. The paper applies the MATLAB/SIMULINK to establish a regenerative braking model, and then selects the UEDC city cycle for model co-simulation analysis. Finally, the feasibility of the proposed control strategy is demonstrated by the simulation results. It shows that the driving range of the EV could be effectively increased on the premise of satisfying the demand of the driver braking force.
机译:电动车辆(EV)的驾驶范围大大限制了EVS的发展。车辆由于在城市循环下经常制动而浪费充足的能量。再生制动系统可以将制动动能转换为电能,然后返回电池,因此能量再生可以延长有能力的制动系统。根据再生制动中的鲁棒性的特性,在前后轴的制动力分布之后分配了基于模糊逻辑的再生制动和摩擦制动,以满足制动安全性和高效制动能量再生的要求。在模型中,车辆模型和机械制动系统由巡航软件构建。本文应用MATLAB / SIMULINK建立再生制动模型,然后选择UEDC城市循环进行模型共仿分析。最后,通过模拟结果证明了所提出的控制策略的可行性。它表明,在满足驾驶员制动力的需求的前提下,可以有效地增加EV的驾驶范围。

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