主办:陕西省汽车工程学会
ISSN 1671-7988  CN 61-1394/TH
创刊:1976年

汽车实用技术 ›› 2022, Vol. 47 ›› Issue (21): 32-36.DOI: 10.16638/j.cnki.1671-7988.2022.021.006

• 新能源汽车 • 上一篇    

电动汽车能耗预测与续驶里程研究

杨文华,马欢欢,李 岳   

  1. 中国汽车技术研究中心有限公司
  • 出版日期:2022-11-15 发布日期:2022-11-15
  • 通讯作者: 杨文华
  • 作者简介:杨文华(1991—),男,硕士,研究方向为新能源汽车测试标定工作,E-mail:ywh_ciiccatarc@163.com。

Energy Consumption Prediction and Driving Range Research of Electric Vehicle

YANG Wenhua, MA Huanhuan, LI Yue   

  1. China Automotive Technology and Research Center Company Limited
  • Online:2022-11-15 Published:2022-11-15
  • Contact: YANG Wenhua

摘要: 纯电动汽车的续航能力与电驱系统的能耗水平有直接关系,开展整车能量流分析是提 升纯电动技术发展的必要手段。文章提出依据整车道路载荷系数推导出电驱系统的百公里理 论能耗,并测试对比不同车型在常温、高温、低温环境中国乘用车工况(CLTC-P)下的能耗 表现,再根据理论与实际的偏差值,实现对整车电驱系统的能耗水平预测;同时分析了各车 型在不同测试工况下的续航表现、真实电量与表显电量、表显剩余续航里程与表显电量(SOC) 的对应关系,为整车显示控制策略的优化与开发提供参考。

关键词: 道路载荷;能耗表现;续航里程;电动汽车;能耗预测

Abstract: The endurance of pure electric vehicle is directly related to the energy consumption level of the electric drive system. Energy flow analysis of the vehicle is a necessary means to improve the development of pure electric technology. In this paper, the theoretical energy consumption of the electric drive system was deduced based on the road load coefficient of the vehicle, and the energy consumption performance of different models under china light-duty vehicle test cycle-passenger (CLTC-P) conditions at room temperature, high temperature and low temperature was teted and compared. Then, the energy consumption level of the electric drive system of the vehicle was predicted according to the deviation between the theory and practice. At the same time, the corresponding relationship between the range performance of each vehicle under different test conditions, the real power and the meter display power, the remaining range of the meter display power and the state of charge of the meter display power are analyzed, which provides reference for the optimization and development of the vehicle display control strategy.

Key words: Road load; Energy consumption performance; Driving range; Electric vehicle; Energy consumption prediction