作者:
作者单位: 1.同济大学 道路与交通工程教育部重点实验室，上海 201804;2.上海市新能源汽车公共数据采集与监测研究中心，上海 201805
作者简介: 李浩(1982—)，女，教授，博士生导师，工学博士，主要研究方向为交通风险评估与智能网联汽车、交通行为、交通路网建模以及交通规划与管理等。E-mail: haolitj@tongji.edu.cn
通讯作者:
中图分类号: U469.72
基金项目: 国家重点研发计划（2019YFE0108300）; 国家自然科学基金(71971162).
Energy Consumption Analysis for Parallel PHEVs with Identifying Working Modes Based on Real
Author:
Affiliation: 1.Key Laboratory of Road and Traffic Engineering of the Ministry of Education， Shanghai 201804， China;2.Shanghai Electric Vehicle Public Data Collecting Monitoring and Research Center， Shanghai 201805， China
Fund Project:
摘要
| 图/表
| 访问统计
| 参考文献
|相似文献
| 引证文献
| 资源附件
摘要:针对并联式插电混合动力汽车（PHEV）能耗模式复杂及能耗规律尚不明确等问题，提出一种基于实际运行数据进行PHEV工作模式辨识以及不同工作模式下能耗规律解析的方法，利用多元非线性回归模型揭示混合驱动模式能量消耗率（ECR）的影响因素。基于上海市425辆PHEV一年的实际运行数据分析表明，PHEV的能耗受驾驶环境和工作模式的影响显著，且能耗费用与燃油汽车相比具有成本效益。样本PHEV的平均ECR较传统燃油车节省37.9％，是一般纯电动汽车的2.96倍。行驶速度和温度对ECR具有显著非线性影响，加速度具有显著的线性正效应。
Abstract:In order to better understand the energy consumption performance of parallel plug-in hybrid electric vehicle （PHEV） and to analyze the impact factors under the hybrid driving mode， the working modes were identified for more accurate energy consumption analysis with real-world travel data. The methodology for identifying the different working modes is proposed. A multivariable non-linear regression model is used to analyze the effects of different factors on energy consumption rate （ECR）. Based on the analyses of real-world longitudinal travel data of 425 PHEVs in Shanghai， it is found that the energy consumption performance of a PHEV depends to a large extent on the driving environment and driving pattern and the energy cost of the PHEV is more effective compared to conventional fuel vehicles. The ECR of the sample PHEVs saves up to 37.9% compared to the conventional gasoline vehicle BYD Song， and is about 2.96 times of that for the Battery Electric Vehicle （BEV）. The speed and temperature have significant quadratic effects on ECR， and the acceleration rate has a strong linear positive effect.
PDF全文下载地址:
点我下载PDF
