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Behavioral modeling and analysis of galvanic devices

机译:电动设备的行为建模和分析

摘要

A new hybrid modeling approach was developed for galvanic devices including batteries and fuel cells. The new approach reduces the complexity of the First Principles method and adds a physical basis to the empirical methods. The resulting general model includes all the processes that affect the terminal behavior of the galvanic devices. The first step of the new model development was to build a physics-based structure or framework that reflects the important physiochemical processes and mechanisms of a galvanic device. Thermodynamics, electrode kinetics, mass transport and electrode interfacial structure of an electrochemical cell were considered and included in the model. Each process of the cell is represented by a clearly-defined and familiar electrical component, resulting in an equivalent circuit model for the galvanic device. The second step was to develop a parameter identification procedure that correlates the device response data to the parameters of the components in the model. This procedure eliminates the need for hard-to-find data on the electrochemical properties of the cell and specific device design parameters. Thus, the model is chemistry and structure independent. Implementation issues of the new modeling approach were presented. The validity of the new model over a wide range of operating conditions was verified with experimental data from actual devices.
机译:针对包括电池和燃料电池在内的电动设备开发了一种新的混合建模方法。新方法降低了“第一原理”方法的复杂性,并为经验方法增加了物理基础。最终的通用模型包括影响电动设备终端行为的所有过程。新模型开发的第一步是建立一个基于物理的结构或框架,该结构或框架反映了电动设备的重要物理化学过程和机制。考虑了电化学电池的热力学,电极动力学,质量传递和电极界面结构,并将其包括在模型中。电池的每个过程都由明确定义和熟悉的电子组件表示,从而形成了电动设备的等效电路模型。第二步是开发一种参数识别程序,该程序将设备响应数据与模型中组件的参数相关联。该程序消除了对难以找到的有关电池电化学特性和特定器件设计参数的数据的需求。因此,该模型是化学和结构独立的。提出了新的建模方法的实施问题。利用来自实际设备的实验数据验证了新模型在各种运行条件下的有效性。

著录项

  • 公开/公告号US2002120906A1

    专利类型

  • 公开/公告日2002-08-29

    原文格式PDF

  • 申请/专利权人 XIA LEI;HARTLEY TOM;

    申请/专利号US20010906466

  • 发明设计人 LEI XIA;TOM HARTLEY;

    申请日2001-07-16

  • 分类号G06F17/50;

  • 国家 US

  • 入库时间 2022-08-22 00:50:32

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