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

汽车实用技术 ›› 2025, Vol. 50 ›› Issue (5): 19-26.DOI: 10.16638/j.cnki.1671-7988.2025.005.004

• 新能源汽车 • 上一篇    

基于纯电动汽车用户云端大数据的工况 构建及整车能耗分析

程静 1，伍魏明 1，郑叶明 2，窦炜 1，刘臻 2   

  1. 1.蔚来汽车科技（安徽）有限公司；2.上海蔚来汽车有限公司
  • 发布日期:2025-03-12
  • 通讯作者: 程静
  • 作者简介:程静（1995－），女，硕士，研究方向为车辆工程、车辆行驶工况、车辆驾驶风格，E-mail:jing.cheng@nio.com

Based on Cloud Big Data to Build Battery Electric Vehicle User Driving Cycles and Vehicle Energy Consumption Analysis

CHENG Jing1 , WU Weiming1 , ZHENG Yeming2 , DOU Wei1 , LIU Zhen2   

  1. 1.NIO Automotive Technology (Anhui) Company Limited; 2.Shanghai NIO Automobile Company Limited
  • Published:2025-03-12
  • Contact: CHENG Jing

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摘要： 为准确反映车辆真实能耗，对纯电动汽车用户真实道路驾驶工况曲线的构建方法进行 了研究。通过已脱敏的整车云端大数据获取短行程片段，基于短行程片段进行主成分分析、 聚类分析和相关性分析，构建了多组纯电动汽车用户真实道路驾驶工况曲线，使用 AVL Cruise 软件搭建整车能耗仿真模型进行工况曲线的能耗仿真，最后实车进行整车转毂测试获取曲线 能耗。研究结果表明，构建不同地区、月份、车型的用户真实道路驾驶工况曲线没有明显的 能耗差异；与中国轻型车辆测试工况、世界轻型汽车测试工况曲线相比，构建的工况曲线更 能反映用户真实的驾驶能耗；用户工况曲线能耗比中国轻型车辆测试工况曲线高 8.8%，可以 用于指导整车能耗开发。

关键词: 云端大数据；纯电动汽车；用户真实道路；驾驶工况曲线；CLTC；能耗仿真；能耗 测试

Abstract: In order to accurately reflect the real energy consumption of vehicles, the construction method of the real road driving condition curve of battery electric vehicle users is studied. The short journey segments are obtained through the desensitized vehicle cloud big data, and based on the short journey segments, principal component analysis, cluster analysis and correlation analysis are conducted to construct the real road driving condition curves of several battery electric vehicle users. The vehicle energy consumption simulation model is built with AVL Cruise software for energy consumption simulation of the working condition curves. Finally, the curve energy consumption is obtained by the whole vehicle hub conversion test. The results show that there is no significant difference in energy consumption between the real road driving curves of users in different regions, months and models. Compared with China's light vehicle test conditions and the world's light vehicle test conditions, the constructed curve can better reflect the real driving energy consumption of users. The energy consumption of user working condition curve is 8.8% higher than that of China light vehicle test working condition curve, which can be used to guide the development of vehicle energy consumption.

Key words: cloud big data; battery electric vehicles; user's real road; driving condition curve; CLTC; energy consumption simulation; energy consumption test