NONINVASIVE BATTERY-HEALTH DIAGNOSTICS USING RETROSPECTIVE-COST IDENTIFICATION OF INACCESSIBLE SUBSYSTEMS
NONINVASIVE BATTERY-HEALTH DIAGNOSTICS USING RETROSPECTIVE-COST IDENTIFICATION OF INACCESSIBLE SUBSYSTEMS
复制标题
使用不可访问子系统的追溯成本识别进行无创电池健康诊断
DOI：
10.1115/dscc2012-movic2012-8649
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
D. Bernstein
中科院分区：
文献类型：
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作者：
A. D'Amato;J. Forman;Tulga Ersal;Asad A. Ali;J. Stein;H. Peng;D. Bernstein
锂离子电池的健康管理取决于某些电池内部动力学的知识（例如，锂消耗和固体-电解质界面处的膜生长），其输入和输出不能用非侵入性方法直接测量。这就提出了一个识别不可访问的子系统的问题。为了解决这个问题，我们采用追溯成本子系统识别（RCSI）方法。作为第一步，本文提出了一种基于模拟的研究，假设作为电池的真实模型的电化学为基础的电池充电/放电模型的道尔，富勒和纽曼，后来增加了电池健康模型的Ramadass。首先，这个真值模型用于生成识别研究所需的数据。接下来，假设电池健康模型的膜生长分量是未知的，并且使用RCSI执行该不可访问子系统的识别。结果表明，当导致薄膜生长的化学反应是因果关系时，子系统识别方法可以相当准确地识别薄膜生长。
Health management of Li-ion batteries depends on knowledge of certain battery internal dynamics (e.g., lithium consumption and film growth at the solid-electrolyte interface) whose inputs and outputs are not directly measurable with noninvasive methods. This presents a problem of identification of inaccessible subsystems. To address this problem, we apply the retrospective-cost subsystem identification (RCSI) method. As a first step, this paper presents a simulation-based study that assumes as the truth model of the battery an electrochemistrybased battery charge/discharge model of Doyle, Fuller, and Newman, and later augmented with a battery-health model by Ramadass. First, this truth model is used to generate the data needed for the identification study. Next, the film-growth component of the battery-health model is assumed to be unknown, and the identification of this inaccessible subsystem is performed using RCSI. The results show that the subsystem identification method can identify the film growth quite accurately when the chemical reactions leading to film growth are consequential.