制动意图识别是影响电动汽车再生制动能量回收率的关键技术。当前制动意图识别方法的识别准确率受驾驶员驾驶风格影响较大，稳定性和适应性都较差，严重影响了制动意图识别在电动汽车再生制动技术上的工程应用效果。. 为解决这一问题，本项目拟展开以下研究：（1）揭示要实现同一制动意图时，不同驾驶风格驾驶员对制动踏板的操纵差异、特点及规律。（2）基于HHT理论探究具有驾驶风格自适应性的驾驶员制动意图频域识别理论及方法。建立基于此理论的制动意图识别方法的数学模型，并验证理论方法的准确性与实用性。. 本项目旨在提高制动意图识别方法对驾驶员驾驶风格差异的适应性。为进一步提高电动汽车驾驶员制动意图识别准确率，完善电动汽车再生制动的关键技术奠定基础。

Braking intention identification is a key technology of electric vehicle regenerative braking. Currently，Braking intention identification method’s accuracy rate is unstable，which has bad effect on braking intention identification’s application .. To solve this problem， the research will be done in these fields：（1）Different driving style’s driver operation of braking pedal’s characteristic for different driving style’s drivers is revealed.（2）Braking intention identification method will be studied based on HHT. Mathematical model will be built and the test will be done to prove this method.. This project aims to improve Braking intention identification method’s adaptability for different driving styles’ driver, which will improve Braking intention identification method’s accuracy rate and key technology of electric vehicle regenerative braking.