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液压执行机构(HCU)在电动汽车上被广泛用作电液复合制动系统的液压力精确调节机构。为改善制动舒适性,需要采用合适的制动意图分类与识别方法。提出一种以提高舒适性为目的的制动意图分类方法,将制动意图分为常规减速、紧急制动和压力跟随,并根据分类结果控制液压执行机构;提出一种制动意图在线识别方法,用于在制动过程中在线识别制动意图的类别。该方法利用多传感器数据融合,使用神经网络对制动意图进行识别。仿真及试验结果表明,采用所提出的制动意图分类与识别方法后制动舒适性及安全性得以改善。
Hydraulic Actuators (HCUs) are widely used in electric vehicles as a hydraulic precision adjustment mechanism for electro-hydraulic compound brake systems. In order to improve the braking comfort, the appropriate braking intention classification and identification methods are required. A braking intent classification method is proposed to improve the comfort. The braking intent is divided into conventional deceleration, emergency braking and pressure follow-up, and the hydraulic actuator is controlled according to the classification result. A method of on-line recognition of braking intention , A category used to identify the brake intent online during braking. This method utilizes the multi-sensor data fusion to identify the braking intention using neural networks. Simulation and experimental results show that the braking comfort and safety can be improved by using the proposed classification and identification of braking intent.