基于驾驶意图的电动汽车电液复合制动协调控制系统研究

项目名称： 基于驾驶意图的电动汽车电液复合制动协调控制系统研究

项目编号： No.51507013

项目类型： 青年科学基金项目

立项/批准年度： 2016

项目学科： 电工技术

项目作者： 赵轩

作者单位： 长安大学

项目金额： 19.5万元

中文摘要： 续驶里程是制约电动汽车普及和发展的最主要因素之一。在现有蓄电池储能技术的基础上，增加续驶里程最直接的方法是提高能量利用率。电动汽车制动时，如何实现在保证制动安全性的前提下最大限度的回收制动能量是提高能量利用率的关键技术，本项目对电动汽车复合制动控制技术进行研究。考虑到电动汽车制动安全性和制动经济性的多目标共存，根据驾驶员驾驶意图和车辆运行状态，以理想前后轮制动器制动力分配比例、ECER13制动法规、滑移率、电机特性、储能装置特性及SOC、传动系统为约束条件，应用多目标规划理论对复合制动系统中制动力分配策略进行研究。其中提出了基于双层隐形马尔科夫模型的驾驶意图辨识方法；提出了基于广义生长剪枝径向基函数神经网络的多参数蓄电池SOC估计模型。

中文关键词： 电动汽车；复合制动；控制策略；驾驶意图；多目标规划

英文摘要： Driving mileage is one of the fatal factors to popularize and develop electric vehicle. The best way to increase driving mileage is to improve energy utilization rate on the basis of current energy storage technology. The key technique of improving energy utilization is to achieve the maximum regenerative brake energy under premise of safety when the electric vehicle is braking, so the project researches on the electro-hydraulic composite braking control technology. Considering the multi-objective coexistence of safety and economy during braking for electric vehicle, then based on the identified driving intention and vehicle operation conditions , while considering the restriction of the distribution ratio of braking force upon front and rear, ECER13 braking regulation, slip ratio, motor characteristic, energy storage characteristic and transmission system, a research was done by applying multi-objective programming theory to study the braking force distribution strategy in composite braking system according to the driving intention and vehicle running status. The project proposes the driving intention identification method based on double layer hidden markov model and SOC of battery estimation model based on generalized growing and pruning radial basis function neural network.

英文关键词： electric vehicle;composite brake;control strategy;driving intention;multi-objective programming