论文部分内容阅读
制动能量回收是提高电动汽车能量经济性的主要技术措施,准确识别驾驶意图是制动能量回收的关键。分别建立驾驶员收起加速踏板阶段和踩下制动踏板阶段的制动意图识别模型,采用模糊控制方法对制动意图进行识别,以小强度制动、中强度制动和紧急制动作为量化的驾驶员制动意图输出;依据制动意图识别结果制订了2种能量回收模式;基于欧洲经济委员会(ECE)法规线和I曲线建立了制动力分配策略和计算模型;针对不同的能量回收模式,以Cruise和MATLAB/Simulink为平台,建立了制动系统仿真模型,计算制动能量回收率和电动汽车续驶里程。结果表明:能量回收模式不同,电动汽车的制动能量回收率不同;在一个新欧洲驾驶循环(NEDC)中,考虑收起加速踏板阶段模拟发动机制动的能量回收模式能够提高制动能量回收率;NEDC循环工况的续驶里程提高了5.69%。
Braking energy recovery is to improve the energy economy of electric vehicles, the main technical measures to accurately identify the driving intent is the key to braking energy recovery. The model of brake intention recognition of the driver when the accelerator pedal is closed and the brake pedal is depressed is established respectively. The fuzzy control method is used to identify the brake intent, and is quantified by using low-intensity braking, medium-intensity braking and emergency braking Of the driver’s intention to brake the output; based on the braking intent identification results formulated two kinds of energy recovery mode; based on the European Commission (ECE) regulatory lines and I curve established braking force distribution strategy and calculation model; for different energy recovery mode Based on the platform of Cruise and MATLAB / Simulink, a braking system simulation model was established to calculate the braking energy recovery rate and the driving range of the electric vehicle. The results show that the recovery rate of braking energy varies with different modes of energy recovery. In a new European driving cycle (NEDC), considering energy recovery mode which simulates engine brake during accelerator pedal stage can improve braking energy recovery ; NEDC cycle conditions continued driving mileage increased by 5.69%.