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Electrochemical performance detection of lithium -sulfur battery based on practical image and Heritage Algorithm

机译：基于实际图像和遗产算法的锂 - 玻璃素电池电化学性能检测

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摘要

Lithium-Sulfur (Li-S battery) based performance detection that represent an electrochemical practical in the battery management system. Lithium-Sulfur (Li-S battery) based on elemental sulfur as cathode-active material is highly attractive due to their high theoretical efficiency, easy availability, low cost and non-toxicity of sulfur. Low technical conductivity of sulfur has led to many technical challenges, including dissolving sulfur-reducing products in the electrolyte, leading to their migration from the cathode, and the deposition of solid reaction products on the cathode matrix. In this method Heritage Algorithm is the full range of our heritage traditions, electrochemical, anode and cathode. Most importantly, it is a range of contemporary activities, meanings and behaviors. The parameters Initialize Cell Voltage, Default Energy, Capacity Density, and Battery Life Duration. When electrochemists create models, they usually do so as electrochemical reaction. The Electrochemical uses model flaws to identify gaps in current knowledge and as inspiration, Improve and get a 'better backup'. In contrast, during discharge lithium develops from between the carbon layers in the anodes and the compound layers at the cathodes are doped with lithium. Lithium-Ion rechargeable batteries at the cathodes and carbon at the anodes. Improve the environmental efficiency of battery manufacturing, and electric alloy with high production capacity and low carbon intensity is suggested. It is suggested to optimize this process by reducing power consumption during manufacturing and in combination with high pack energy density, by impacting climate change on pack manufacturing.
机译：锂 - 硫（LI-S电池）基于性能检测，代表电池管理系统中的电化学实用。基于元素硫作为阴极活性材料的锂 - 硫（Li-S电池）由于其高理论效率，易用性，低成本和硫的非毒性而具有高度吸引力。硫的低技术电导率导致了许多技术挑战，包括在电解质中溶解硫还原产物，导致它们从阴极迁移，以及在阴极基质上沉积固体反应产物。在该方法中，遗产算法是我们遗产传统，电化学，阳极和阴极的全系列。最重要的是，它是一系列当代活动，含义和行为。参数初始化单元电压，默认能量，容量密度和电池寿命持续时间。当电化学家创建模型时，它们通常会这样做，作为电化学反应。电化学使用模型缺陷来识别当前知识中的差距以及灵感，提高并获得“更好的备份”。相反，在放电期间，从阳极中的碳层之间显影，并且阴极处的化合物层掺杂有锂。在阴极和阳极处的碳锂离子可充电电池。提出了提高电池制造的环境效率，并提出了具有高生产能力和低碳强度的电力合金。建议通过影响气候变化在制造过程中，通过影响包装制造的气候变化，通过减少制造期间的功耗和高包装能量密度来优化该过程。

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