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基于电池SOE预测电动汽车的续驶里程

林仕立 宋文吉 吕杰 冯自平

电池2017,Vol.47Issue(3):137-139,3.
电池2017,Vol.47Issue(3):137-139,3.DOI:10.19535/j.1001-1579.2017.03.003

基于电池SOE预测电动汽车的续驶里程

Forecasting the driving range of electric vehicle based on the SOE of battery

林仕立 1宋文吉 2吕杰 3冯自平1

作者信息

  • 1. 中国科学院广州能源研究所,广东广州510640
  • 2. 中国科学院可再生能源重点实验室,广东广州510640
  • 3. 广东省新能源和可再生能源研究开发与应用重点实验室,广东广州510640
  • 折叠

摘要

Abstract

The state of energy (SOE) estimation was proposed to improve the accuracy of electric vehicle driving range prediction.Based on the basic definition of SOE,the thermal parameters were introduced to modify the mathematical model of SOE.Combined with some influence factors,such as vehicle quality,driving resistance,battery performance and driving conditions,the power supply and demand model was researched and the driving range prediction method based on SOE was established.It could be verified through the standard cycle test that the accuracy of this method was 4.09% higher than that of the traditional method and the predicted results were closer to the actual values.

关键词

能量状态(SOE)/电动汽车/续驶里程预测/供需功率模型

Key words

state of energy(SOE)/electric vehicle/driving range prediction/power supply and demand model

分类

信息技术与安全科学

引用本文复制引用

林仕立,宋文吉,吕杰,冯自平..基于电池SOE预测电动汽车的续驶里程[J].电池,2017,47(3):137-139,3.

基金项目

国家自然科学基金项目(51607176,51477171),广州市科技计划项目(201509030005) (51607176,51477171)

电池

OA北大核心CSCDCSTPCD

1001-1579

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