电动汽车再生制动模糊控制策略与优化研究  

Research on Fuzzy Control Strategy and Optimization of Regenerative Braking of Electric Vehicle

作　　者：尹安东[1,2] 孟甜甜[1] 

机构地区：[1]合肥工业大学汽车与交通工程学院,安徽省合肥市230009 [2]汽车技术与装备国家地方联合工程研究中心,安徽省合肥市230009

出　　处：《农业装备与车辆工程》2016年第11期1-6,共6页Agricultural Equipment & Vehicle Engineering

基　　金：国家科技支撑计划资助项目(2013BAG08B01)

摘　　要：以电动汽车制动能量回收系统为研究对象,分析了影响制动能量回收的各因素,在此基础上提出了基于模糊控制的再生制动控制策略,在SIMULINK中建立了该控制策略的仿真模型。并应用遗传算法对该控制策略的隶属度函数进行了优化,将其嵌入到ADVISOR再生制动控制策略中,分别在美国公路UDDS,美国市区模拟循环FTP,欧洲公路EUDC和日本的1050工况下与ADVISOR中的再生制动策略进行对比。分析汽车的续驶里程以及工况循环下能量回收总量,以证明该策略以及优化后策略的有效性。Taking the brake energy regeneration system of electric vehicle as the research object, the factors affecting the recovery of braking energy are analyzed. On this basis, the control strategy of regenerative braking system based on fuzzy control is put forward. The model of control strategy is established in SIMULINK. The membership function of this control strategy is optimized by genetic algorithm, and embedded into the ADVISOR regenerative braking control strategy. Taking the United States highway UDDS, the United States urban simulation cycle FTP, the European highway EUDC, Japan under the 1050 conditions and the regenerative braking strategy in ADVISOR for comparison, the vehicle＇s driving range, as well as the total amount of energy recovery under the conditions are analyzed, to demonstrate the effectiveness of the strategy and the optimization strategy.

关 键 词：电动汽车 再生制动 能量回收 模糊控制 遗传算法 

分 类 号：U469.722[机械工程—车辆工程]