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State-of-health (SOH) evaluation on lithium-ion battery by simulating the voltage relaxation curves

机译:通过模拟电压松弛曲线通过模拟锂离子电池的健康状态(SOH)

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摘要

State-of-health evaluation of lithium ion batteries is one of the key challenges to construct efficient battery system with enhanced performance. In this paper, we demonstrate a facile evaluation method which is based on the voltage stabilization behaviour during relaxation. A second-order equivalent circuit is employed to describe the voltage relaxation. By simulating the voltage relaxation curves, the characteristic parameters that can distinguish the ohmic, activation and concentration depolarizations are acquired. The obtained parameters are sensitive to electrochemical states, which provide comprehensive evaluation to the state-of-health of batteries and aging mechanism analysis. As an example, the proposed method identifies two aging stages of Li(Ni1/3Co1/3Mn1/3)O-2/graphite pouch cells during accelerated aging. Namely, a loss of lithium inventory in the first stage of aging, and the loss of active material in the next stage. Postmodern analysis including X-ray diffraction and high-resolution transmission electron microscope well agrees with the voltage relaxation simulation. The proposed state-of-health evaluation method is non-destructive and accessible for on-board aging diagnosis, which is of great significance for developing better battery management system. (c) 2019 Elsevier Ltd. All rights reserved.
机译:锂离子电池的健康状况评估是构建具有增强性能的有效电池系统的关键挑战之一。在本文中,我们展示了一种基于放松期间的电压稳定行为的容易评估方法。采用二阶等效电路来描述电压松弛。通过模拟电压松弛曲线,获取可以区分欧姆,激活和浓缩去极化的特征参数。所获得的参数对电化学状态敏感,为电池的健康状况和老化机制分析提供综合评价。作为一个例子,所提出的方法在加速老化期间鉴定了两次Li(Ni1 / 3Co1 / 3Mn1 / 3)O-2 /石墨袋细胞的老化阶段。即,在衰老的第一阶段,在衰老的第一阶段损失,以及下一阶段的活性材料的损失。后现代分析包括X射线衍射和高分辨率透射电子显微镜,很好地同意电压松弛仿真。拟议的健康状况评估方法是无损性的,可用于车载老化诊断,这对于开发更好的电池管理系统具有重要意义。 (c)2019 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Electrochimica Acta》 |2019年第2019期|共9页
  • 作者单位

    Tsinghua Berkeley Shenzhen Inst Shenzhen Environm Sci &

    New Energy Technol Engn L Shenzhen 518055 Peoples R China;

    Tsinghua Univ Grad Sch Shenzhen Engn Lab Next Generat Power &

    Energy Storage Batt Shenzhen 518055 Peoples R China;

    Tsinghua Berkeley Shenzhen Inst Shenzhen Environm Sci &

    New Energy Technol Engn L Shenzhen 518055 Peoples R China;

    Tsinghua Univ Grad Sch Shenzhen Engn Lab Next Generat Power &

    Energy Storage Batt Shenzhen 518055 Peoples R China;

    Tsinghua Univ Grad Sch Shenzhen Engn Lab Next Generat Power &

    Energy Storage Batt Shenzhen 518055 Peoples R China;

    Tsinghua Berkeley Shenzhen Inst Shenzhen Environm Sci &

    New Energy Technol Engn L Shenzhen 518055 Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 电化学工业;物理化学(理论化学)、化学物理学;
  • 关键词

    Lithium ion battery; State of health; Voltage stabilization model; Aging mechanism;

    机译:锂离子电池;健康状况;电压稳定模型;老化机制;
  • 入库时间 2022-08-19 17:13:11

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