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. 48 ›› Issue (3): 20-27.DOI: 10.16638/j.cnki.1671-7988.2023.03.004

• 新能源汽车 • 上一篇    

纯电动汽车能量流向及降能耗措施分析

于凤珠   

  • 出版日期:2023-02-15 发布日期:2023-02-15
  • 通讯作者: 于凤珠
  • 作者简介:于凤珠(1988—),女,硕士,工程师,研究方向为能量流向及整车节能,E-mail:yufengzhu2013@163.com。

Analysis of Energy Flow Direction of Electric Vehicle and Research on Measures to Reduce Energy Consumption

YU Fengzhu   

  • Online:2023-02-15 Published:2023-02-15
  • Contact: YU Fengzhu

摘要: 能量流向分析是新能源汽车能耗的重要分析手段,通过能量流向分析可全面了解车型 电耗的分布情况,定量地找到样车与标杆车型之间的能耗差异,从而确定最有效改善能耗水 平的着手点。文章通过理论分析整车能耗机理,挖掘能耗的关键控制项;自动化控制实现各 种能量相关的物理量的实时采集和数据处理,并作为降能耗措施的最终验收标准。基于高精 度实测数据建立并标定整车能量流仿真模型,一方面精准定位潜在的节能方向;另一方面作 为项目开发早期预判的理论支撑,对动力总成构架、部件选型及设计参数进行优化,寻找最 利于能耗的解决方案。

关键词: 能量流;阻力分解;仿真分析;降能耗

Abstract: Energy flow analysis is an important analysis method of energy consumption of new energy vehicles. Through energy flow analysis, we can comprehensively understand the distribution of power consumption of vehicle models, quantitatively find the energy consumption difference between sample vehicles and benchmark vehicles, and determine the starting point for the most effective improvement of energy consumption level. In this paper, the energy consumption mechanism of the whole vehicle is analyzed theoretically, and the key control items of energy consumption are mined; automatic control realizes real-time collection and data processing of various energy related physical quantities, and serves as the final acceptance standard of energy consumption reduction measures. Based on the high-precision measured data, the energy flow simulation model of the whole vehicle is established and calibrated. On the one hand, it accurately locates the potential energy conservation direction, and on the other hand, it serves as the theoretical support for the early prediction of the project development, optimizing the powertrain framework, component selection and design parameters, and finding the solution most conducive to energy consumption.

Key words: Energy flow; Resistance decomposition; Simulation analysis; Reduce energy consu