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汽车安全与节能学报

汽车安全与节能学报 ›› 2013, Vol. 4 ›› Issue (1): 61-66.DOI: 10.3969/j.issn.1674-8484.2013.01.009

• 汽车节能与环保 • 上一篇    下一篇

锂离子电池内部温度场的传递函数在线估计

  

  1. 清华大学 汽车安全与节能国家重点实验室，北京 100084，中国
  • 收稿日期:2013-01-15 出版日期:2013-03-25 发布日期:2013-03-27
  • 通讯作者: 欧阳明高，教授。ouymg@tsinghua.edu.cn E-mail:ouymg@tsinghua.edu.cn
  • 作者简介:刘光明（1989—），男（汉），博士研究生。lgm06@mails.tsinghua.edu.cn
  • 基金资助:

    科技部国际科技合作计划资助课题（2010DFA72760，2011AA11A227），清华大学自主科研课题（2010THZ08116）

Online estimation of internal temperature fields of lithium-ion
batteries using a transfer function

  1. State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China
  • Received:2013-01-15 Online:2013-03-25 Published:2013-03-27

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摘要： 锂离子电池的温度是一个强烈影响电动汽车性能的因素。为实时计算电池内部温度场，预测
电池性能，本文提出一种电池内部温度场的传递函数估算方法。对某磷酸铁锂/ 石墨（LFP-G）动力电
池，测定电池的传热参数，建立三维热模型，在自然对流条件下用Fluent 软件进行仿真，并进行了
验证。从而获得电池产热功率和内外温差的传递函数。结果表明：与实验结果相比，该三维模型的
温度估计误差小于0.7 K。在一定的加热功率下，用传递函数预测的电池内部温度与用三维模型的预
测结果差别小于0.1 K。因此，该传递函数方法可以满足车用在线温度预测的需求。

关键词: 电动汽车, 锂离子电池, 内部温度, 三维热建模, 内外温差, 传递函数

Abstract: The authors found a normal transfer function to calculate online lithium-ion battery temperaturefields
for estimating battery-performances, which strongly influence electric vehicle (EV) performances. The
internal-external temperature differences and the heat transfer parameters were measured for a type of lithiumiron
phosphate-graphite (LFP-G) energy-cell, with a 3-D thermal model then established. The temperature fields
simulated using a Fluent software under natural convection situation were tested by experiments, with a normal
transfer function between the internal heat powers and the internal-external temperature-differences then being
found. The results show that the 3-D model calculation results correspond well with the experimental results
with a maximum error of 0.7 K, with internal-external temperature-differences having an error of 0.1 K when
using the transfer function estimation is compared with using the 3-D model. Therefore, the transfer function
estimation can be used to online estimate the internal temperature field of lithium-ion batteries

Key words: electric vehicle (EV), lithium-ion battery, internal temperature, 3-D thermal modeling, internalexternal
temperature difference, transfer function

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