摘要
以某款纯电动共享汽车日常运行数据为研究对象,确定了5大类共25个驾驶行为特征参数。将车辆运行数据分为起步、停车和运行3个阶段,通过适用于高维大数据相关性分析的最大信息系数(MIC)算法计算了25个特征参数间的相关关系,研究了驾驶行为对能耗的影响规律,明确了不同车辆使用阶段下对总能耗和百公里能耗有显著影响的特征参数。结果表明:不同阶段对能耗产生显著影响的驾驶行为特征参数存在差异,通过对不同驾驶行为特征参数的影响规律分析,提出了不同阶段下节能降耗驾驶行为的优化建议。
In this paper, the daily operation data of a pure electric shared vehicles was taken as the research object, and 25 driving behavior characteristic parameters of five categories were determined. Vehicles’ data were divided into starting, parking and running three phases. The correlation among 25 characteristic parameters was calculated by the maximum information coefficient(MIC) algorithm, which is suitable for correlation analysis of high-dimensional big data. The effect law of driving behavior was studied in energy consumption. The characteristic parameters that have significant influence on total energy consumption and100 km energy consumption at different vehicle service stages were identified. The results show that there are differences in driving behavior characteristic parameters that have significant effects on energy consumption in different stages. Through analyzing the influence rules of different driving behavior characteristic parameters, optimization suggestions for energy saving and consumption reduction driving behaviors in different stages are put forward.
作者
纪少波
李洋
李萌
苏士斌
马晓龙
何绍清
贾国瑞
程勇
JI Shao-bo;LI Yang;LI Meng;SU Shi-bin;MA Xiao-long;HE Shao-qing;JIA Guo-rui;CHENG Yong(School of Energy and Power Engineering,Shandong University,Jinan 250061,China;Hisense Trans Tech Co.,Ltd.,Qingdao 256000,China;China Automotive Technology and Research Center Co.,Ltd.,Tianjin 300300,China)
出处
《吉林大学学报（工学版）》
EI
CAS
CSCD
北大核心
2022年第4期754-763,共10页
Journal of Jilin University:Engineering and Technology Edition
基金
国家重点研发计划项目(2020YFB1600501)
山东省重大科技创新工程项目(2019TSLH0203)
山东省重点研发计划项目(2019GGX103042)。
关键词
纯电动共享汽车
驾驶行为
特征参数
最大信息系数
pure electric shared vehicle
driving behavior
characteristic parameters
maximum information coefficient
