电池级金属锂电解工艺优化科学数据集

金属锂是一种新型能源金属。目前国内熔盐电解生产金属锂的工艺能耗高，电流效率低，对金属锂电解工艺的相关研究较少，因此研究环境条件以及工艺条件对电流效率的影响，为优化金属锂电解工艺，提高电流效率提供理论基础。根据工厂的金属锂电解槽往年操作积累数据，进行大数据分析，针对槽电压、电流强度、电流效率、电能消耗、金属锂产量、LiCl浓度、环境温度和湿度等进行一系列的优化、分析，找出众多数据之间的关联性。研究温度、湿度、电解质组成、电流密度等参数对电流效率的影响，优化电解工艺条件，稳定及提高电流效率，节能降耗，提出目前电解槽优化的操作参数。该数据集主要用来描述槽电阻、槽电压、电耗、石墨运行周期、电解质配比、空气温度与湿度等因素对产量和电流效率的影响；研究氩气、空气、氧气、氮气气氛下水蒸气含量对电流效率的影响，并对影响机理初步探究；电解温度、电流密度、电解质配比以及极距对电流效率的影响以及最优的电解工艺条件。

Lithium metal is a novel energy metal. At present, the domestic molten salt electrolysis process for lithium metal production is characterized by high energy consumption and low current efficiency, and relatively few relevant studies have been conducted on this electrolysis process. Therefore, investigating the impacts of environmental and process conditions on current efficiency can provide a theoretical foundation for optimizing the lithium metal electrolysis process and enhancing current efficiency.
Based on the historical operational data accumulated from lithium metal electrolysis cells in a manufacturing plant, big data analysis is performed to conduct a series of optimizations and analyses on indicators including cell voltage, current intensity, current efficiency, electric energy consumption, lithium metal output, LiCl concentration, ambient temperature and humidity, so as to uncover the correlations among various datasets.
This work investigates the impacts of parameters such as temperature, humidity, electrolyte composition and current density on current efficiency, optimizes the electrolysis process conditions, stabilizes and enhances current efficiency, saves energy and reduces consumption, and proposes the optimized operating parameters for current electrolysis cells.
This dataset is primarily used to describe the impacts of factors including cell resistance, cell voltage, energy consumption, graphite operational cycle, electrolyte ratio, air temperature and humidity on output and current efficiency; it also examines the effects of water vapor content under argon, air, oxygen and nitrogen atmospheres on current efficiency, and carries out a preliminary exploration of the underlying influence mechanism; in addition, it covers the impacts of electrolysis temperature, current density, electrolyte ratio and inter-electrode distance on current efficiency, as well as the optimal electrolysis process conditions.

搜集汇总

背景与挑战

背景概述

该数据集专注于电池级金属锂电解工艺的优化，通过分析工厂历史操作数据，研究槽电压、电流效率、电能消耗、产量及环境因素（如温度、湿度）之间的关联性，旨在提高电流效率和节能降耗。数据集还探索了不同气氛条件下水蒸气含量对电流效率的影响机理，并优化电解温度、电流密度等工艺参数，为金属锂电解工艺改进提供科学依据。数据集由华东理工大学创建，属于国家重点研发计划项目，数据量较小（4.67MB），包含2个文件，适用于电化学工程和能源金属研究领域。