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'Single Wheel' longitudinal traction control for electric vehicles

机译:电动汽车的“单轮”纵向牵引力控制

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The traction control is a tool to increase stability and safety and it has a greater performance potential in electrical vehicles (EVs) than in internal combustions vehicles. Moreover, the traction control allows the EV to operate more efficiently preventing slippage in acceleration and permitting the use of use high-efficiency low-drag tires. The presented approach can compete with the well-recognized techniques, but it offers a lighter tuning procedure. This paper presents an approach to the longitudinal control of a single wheel adopting a configuration based on an adherence estimator and a controller of the adherence gradient. Two adherence gradient controllers are examined in the paper: a fuzzy controller and a sliding mode controller. In both cases, the presented approach allows for tracking a value of the adherence derivative in a wide operating range without any knowledge of the road conditions. The work is based on numerical simulations as well as experimental tests. The test bench computes in real-time the vehicle dynamic and loads accordingly, the drive under test. Both controllers were experimentally verified showing good behavior and good response to a sudden change in the road characteristics, whereas the best overall performance was recorded with the sliding mode control
机译:牵引力控制是增加稳定性和安全性的工具,与内燃机汽车相比,电动汽车(EV)具有更大的性能潜力。此外,牵引力控制使得EV能够更有效地操作,从而防止加速时的打滑并且允许使用高效的低阻力轮胎。提出的方法可以与公认的技术竞争,但是它提供了更轻松的调整过程。本文提出一种采用基于附着力估算器和附着力梯度控制器的配置的单轮纵向控制方法。本文研究了两种依从性梯度控制器:模糊控制器和滑模控制器。在两种情况下,所提出的方法都允许在宽泛的操作范围内跟踪粘附衍生物的值,而无需任何路况知识。这项工作基于数值模拟和实验测试。测试台实时计算车辆动态并相应地加载被测驱动器。两种控制器均经过实验验证,表现出良好的性能,并对道路特性的突然变化具有良好的响应,而滑模控制则记录了最佳的整体性能

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