面向车辆纵向动力学控制的制动意图识别综述

制动意图识别作为新型线控制动系统控制的先决条件,其识别结果的优劣直接影响车辆控制系统的精度,进而影响特定工况下的车辆行车安全性,因此为了提高车辆的主动安全性,提升车辆的制动性能,针对车辆动力学中的纵向稳定性控制问题,以制动意图为切入点,介绍了目前制动意图的分类,概述了基于制动意图识别的车辆动力学控制的国内外研究现状;结合制动意图识别特征的选取问题,重点对比分析了几种典型的制动意图识别方法,包括模糊推理系统、神经网络、自适应神经模糊推理系统、隐马尔可夫模型和聚类分析;结合当下研究现状指出了合理选取特征参数、转换输出目标、多标准评价体系是面向车辆动力学控制的制动意图识别的研究重点和方向。

Overview of braking intention recognition for longitudinal dynamic control of vehicles

As a prerequisite for the control of the brake by wire system, the identification of braking intention has a direct impact on the accuracy of the vehicle control system, and it affects the vehicle running safety under specific working conditions, thus, in order to improve the active safety and braking performance of the vehicle, aiming at the longitudinal stability control problem in vehicle dynamics, the braking intention is taken as the breakthrough point, and the classification of braking intentions is introduced. At the same time, the vehicle dynamics control of braking intention recognition based on the research status at home and abroad is outlined. Besides, combining with the braking intention recognition feature selection problem, several typical braking intention recognition methods, including fuzzy inference system, neural network, adaptive neural fuzzy inference system, hidden Markov model and cluster analysis, are comparatively analyzed. Considering the status quo of research, the research emphasis and direction of braking intention recognition for vehicle dynamics control is pointed out, including reasonably selecting characteristic parameters, transition of export target and multistandard evaluation system.