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Thermal and electrical performance assessments of lithium-ion battery modules for an electric vehicle under actual drive cycles

机译:实际行驶周期下电动汽车锂离子电池模块的热性能和电气性能评估

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摘要

In this paper, both thermal and electrical performance evaluations of a lithium-ion battery pack using real world drive cycles from an electric vehicle (EV) are presented. For the experimental measurements, a data logger is installed in the EV, and the real world drive cycles are collected. The EV has three lithium-ion battery packs consisting of a total of 20 battery modules in series. Each module contains six series×49 parallel IFR 18650 cylindrical valence cells. The reported drive cycles consist of different modes: acceleration, constant speed, and deceleration in both highway and city driving at 2°C, 10°C and 17°C ambient temperatures with all accessories on. Later, the same drive cycles are conducted in an experimental facility where four cylindrical lithium-ion cells are connected in series, and both electrical and thermal performances are evaluated. In addition, the battery model is developed using artificial neural network, which is validated with the real world drive cycles. The validation is carried out in terms of voltage, state of charge (SOC), and temperature profiles for all the collected drive cycles. The present model closely estimates the profiles observed in the experimental data. Moreover, with this study, the mathematical function for the average temperature, SOC, and voltage prediction are developed with weights and bias values.
机译:本文介绍了使用电动汽车(EV)的真实驾驶循环对锂离子电池组进行热性能和电气性能评估的过程。为了进行实验测量,将数据记录器安装在EV中,并收集实际的行驶周期。电动汽车具有三个锂离子电池组,总共包括20个串联的电池模块。每个模块包含六个串联×49并联的IFR 18650圆柱价单元。报告的行驶周期包括不同的模式:在2°C,10°C和17°C环境温度下,所有附件都打开的情况下,高速公路和城市中的加速,恒定速度和减速。后来,在一个实验设备中进行了相同的驱动循环,其中四个圆柱形锂离子电池串联连接,并评估了电性能和热性能。此外,电池模型是使用人工神经网络开发的,并已在现实世界的驾驶循环中得到验证。验证是针对所有收集的驱动周期的电压,充电状态(SOC)和温度曲线进行的。本模型密切估计实验数据中观察到的轮廓。此外,通过这项研究,利用权重和偏差值开发了平均温度,SOC和电压预测的数学函数。

著录项

  • 来源
    《Electric power systems research》 |2018年第10期|18-27|共10页
  • 作者单位

    Department of Automotive, Mechanical & Manufacturing Engineering, Faculty of Engineering & Applied Science University of Ontario Institute of Technology;

    Chemical Engineering Departments, University of Waterloo;

    Department of Automotive, Mechanical & Manufacturing Engineering, Faculty of Engineering & Applied Science University of Ontario Institute of Technology;

    Department of Automotive, Mechanical & Manufacturing Engineering, Faculty of Engineering & Applied Science University of Ontario Institute of Technology;

    Mechanical and Mechatronic Engineering Department, University of Waterloo;

    Chemical Engineering Departments, University of Waterloo;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Lithium-ion battery; Electric vehicle; Drive cycle; Temperature distribution; State of charge; Neural network;

    机译:锂离子电池;电动汽车;行驶周期;温度分布;充电状态;神经网络;
  • 入库时间 2022-08-18 00:12:40

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