%0 Journal Article
%T 基于制动边界与意图识别的再生制动策略<br>Regenerative brake strategy based on braking boundary and intention recognition
%A 吴志新
%A 石金蓬
%A 李亚伦
%A 杨海圣
%A 马少东
%J 北京航空航天大学学报
%D 2017
%R 10.13700/j.bh.1001-5965.2016.0645
%X 摘要 有效的再生制动策略能够增加电动汽车回收能量，提高其续航能力。通过汽车制动动力学以及相关法规的分析，提出了基于边界最大化的再生制动力分配策略，建立了基于制动踏板深度、车速、SOC的模糊制动意图识别模型，识别驾驶员制动意图；建立了基于电机效率曲线的电池充电保护模型，限制电池充电电流。通过对Cruise仿真平台的二次开发，研究本文提出的再生制动策略对于电动汽车续驶里程的影响。在新欧洲行驶循环（NEDC）条件下，该策略能够增加电动汽车续驶里程7.8%；在美国联邦环保局测试工况（FTP75）条件下，该策略能够增加电动汽车续驶里程27.3%。<br>Abstract：Effective strategy of regenerative brake can increase the recycling energy and improve the driving range of electric vehicles. A recycling brake force distribution strategy on the basis of maximum boundary was proposed from the analysis of the vehicle brake dynamics and related regulations. The models of fuzzy braking intention identification based on brake pedal depth, vehicle speed and SOC wereestablished to identify the driver braking intentions; the models of battery charging protection based on the motor efficiency map were established to limit the battery charging current. The influence of the regenerative brake strategy ondriving range was researched by means of the second development of Cruise simulation platform. The driving range of electric vehicles rises by 7.8% in accordance with the regenerative brake strategy for the new European driving cycle (NEDC). The driving range of electric vehicles rises by 27.3% in accordance with the regenerative brake strategy for the EPA Federal Test Procedure (FTP75).
%K 电动汽车
%K 再生制动
%K 控制策略
%K 模糊识别
%K 续驶里程&lt
%K br&gt
%K electric vehicle
%K regenerative brake
%K control strategy
%K fuzzy recognition
%K driving range
%U http://bhxb.buaa.edu.cn/CN/abstract/abstract14207.shtml