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首页> 外文期刊>The journal of physical chemistry, C. Nanomaterials and interfaces >Handling Complexity of Semisolid Redox Flow Battery Operation Principles through Mechanistic Simulations
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Handling Complexity of Semisolid Redox Flow Battery Operation Principles through Mechanistic Simulations

机译:通过机械模拟处理半固体氧化还原流量电池运行原理的复杂性

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In this paper, the semisolid redox flow battery (SSRFB) in static mode is investigated through a kinetic Monte Carlo-based mechanistic model. Electrochemical reactions are said to occur in particle suspensions composed of carbon as conductive additive and silicon as active material, where silicon is known to undergo volume expansion on discharge. The coexistence of different physical phenomena in suspension is not trivial and leads to complex behavior. This work attempts to quantify physical complexity through parameter sensitivity analysis and some basic tools of graph theory. The systematic treatment employed herein not only expands the utility of mechanistic models, but also provides a more comprehensive theoretical understanding of these complex systems which can otherwise only be treated as black boxes. It is concluded that the primary source of complexity of the SSRFB is the competiation between multiple phenomena and that quantifying the dynamics between parameters is as important as measuring a specific parameter. A systematic method of studying the dynamics is to compartmentalize the complex system by introduction of mesoscopic parameters that emerge as a result of contributing microscale phenomena.
机译:本文通过动力学蒙特卡罗的机械模型研究了静态模式下的半固体氧化还原电流电池(SSRFB)。据说电化学反应发生在由碳作为导电添加剂和硅作为活性物质组成的颗粒悬浮液中,其中已知硅在放电时经历体积膨胀。悬浮液中不同物理现象的共存并不琐碎,并导致复杂的行为。这项工作试图通过参数敏感性分析和图形理论的一些基本工具量化物理复杂性。本文所采用的系统处理不仅扩大了机械模型的效用,而且还提供了对这些复杂系统的更全面的理论上了解,否则这些复杂的系统可以被视为黑匣子。得出结论是,SSRFB的主要复杂性源是多种现象之间的竞争,并且量化参数之间的动态与测量特定参数一样重要。一种学习动态的系统方法是通过引入作为贡献微米现象而出现的介观参数来分区复杂系统。

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