期刊论文

Simulation study on regenerative braking strategy of pure electric vehicle based on fuzzy control

中文

长沙理工大学学报(自然科学版)

1672-9331

2017

14

3

90-96

10.3969/j.issn.1672-9331.2017.03.015

国家自然科学基金资助项目（11572055）；

本校为第一机构

为了使纯电动汽车在制动时既能保证安全性,又能获取最大的制动能量回馈效率,综合考虑了ECE法规线、I曲线、f线以及M线对制动力分配的规范作用,结合模糊控制算法,提出了一种以车速v、制动强度z以及蓄电池SOC三者为输入、制动能量回馈比例Kr为输出的模糊控制系统.在此基础上建立了再生制动模型,将其嵌入到ADVISOR 2002中,并在CYC_UDDS工况下进行仿真.研究结果表明,新的再生制动策略比ADVISOR 2002原有的控制方案回收率提高了6.36％,显著提高了电动汽车的实际续航里程.

In order to ensure both safety and maximum braking energy feedback efficiency of pure electric vehicles when braking, the normative action of ECE law curve, I curve, f curve and M curve are considered on braking force distribution. And combined with the fuzzy control algorithm, a fuzzy control system is proposed whose inputs are vehicle speed v, brake strength z and battery SO（2 and the output is braking energy feedback ratio Kr. On this basis, a regenerative braking model is established, and a simulation with ADVISOR 2002 which is embedded by...