Aqueous alkali metal-ion batteries(AAMIBs)have been recognized as emerging electrochemical energy storage technologies for grid-scale applications owning to their intrinsic safety,cost-effectiveness,and environmental ...Aqueous alkali metal-ion batteries(AAMIBs)have been recognized as emerging electrochemical energy storage technologies for grid-scale applications owning to their intrinsic safety,cost-effectiveness,and environmental sustainability.However,the practical application of AAMIBs is still severely constrained by the tendency of aqueous electrolytes to freeze at low temperatures and decompose at high temperatures,limiting their operational temperature range.Considering the urgent need for energy systems with higher adaptability and resilience at various application scenarios,designing novel electrolytes via structure modulation has increasingly emerged as a feasible and economical strategy for the performance optimization of wide-temperature AAMIBs.In this review,the latest advancement of wide-temperature electrolytes for AAMIBs is systematically and comprehensively summarized.Specifically,the key challenges,failure mechanisms,correlations between hydrogen bond behaviors and physicochemical properties,and thermodynamic and kinetic interpretations in aqueous electrolytes are discussed firstly.Additionally,we offer forward-looking insights and innovative design principles for developing aqueous electrolytes capable of operating across a broad temperature range.This review is expected to provide some guidance and reference for the rational design and regulation of widetemperature electrolytes for AAMIBs and promote their future development.展开更多
溏心皮蛋与沙心皮蛋有着各自的口感和味道,均有各自受众,目前只能根据腌制时间来判断是溏心皮蛋还是沙心皮蛋,而这种方法不仅需要丰富的经验且误判比例较高。为了解决这一问题,本文设计了皮蛋红外图像和可见/近红外光谱采集装置,以及配...溏心皮蛋与沙心皮蛋有着各自的口感和味道,均有各自受众,目前只能根据腌制时间来判断是溏心皮蛋还是沙心皮蛋,而这种方法不仅需要丰富的经验且误判比例较高。为了解决这一问题,本文设计了皮蛋红外图像和可见/近红外光谱采集装置,以及配套的溏心皮蛋和沙心皮蛋的分类模型。根据采集到的红外图像数据,在ResNet18网络添加MLCA(Mixed local channel attention)模块,得到的改进模型ResNet_MLCA实现了溏心皮蛋和沙心皮蛋的分类,准确率为95.0%。根据采集到的可见/近红外光谱数据,基于一维卷积设计了一维残差模块用于可见/近红外光谱数据的特征提取和分类,其对溏心皮蛋和沙心皮蛋分类准确率也达到95.0%。为了进一步提高模型检测准确率,将ResNet_MLCA模型所提取的红外图像特征和1D_ResNet所提取的可见/近红外光谱特征进行融合,得到的融合模型ResNet_OP对溏心皮蛋和沙心皮蛋分类准确率达到98.3%。研究成果提供了一种更低计算成本、更高准确率的溏心皮蛋和沙心皮蛋分类模型,对于指导皮蛋生产和提升皮蛋品质具有重要意义。展开更多
基金supported by the National Natural Science Foundation of China(52002297)National Key R&D Program of China(2022VFB2404800)+1 种基金Wuhan Yellow Crane Talents Program,China Postdoctoral Science Foundation(No.2024M752495)the Postdoctoral Fellowship Program of CPSF(No.GZB20230552).
文摘Aqueous alkali metal-ion batteries(AAMIBs)have been recognized as emerging electrochemical energy storage technologies for grid-scale applications owning to their intrinsic safety,cost-effectiveness,and environmental sustainability.However,the practical application of AAMIBs is still severely constrained by the tendency of aqueous electrolytes to freeze at low temperatures and decompose at high temperatures,limiting their operational temperature range.Considering the urgent need for energy systems with higher adaptability and resilience at various application scenarios,designing novel electrolytes via structure modulation has increasingly emerged as a feasible and economical strategy for the performance optimization of wide-temperature AAMIBs.In this review,the latest advancement of wide-temperature electrolytes for AAMIBs is systematically and comprehensively summarized.Specifically,the key challenges,failure mechanisms,correlations between hydrogen bond behaviors and physicochemical properties,and thermodynamic and kinetic interpretations in aqueous electrolytes are discussed firstly.Additionally,we offer forward-looking insights and innovative design principles for developing aqueous electrolytes capable of operating across a broad temperature range.This review is expected to provide some guidance and reference for the rational design and regulation of widetemperature electrolytes for AAMIBs and promote their future development.
文摘为研究车辆组团视角下的道路偶发拥堵预警方法,本文提出一种基于双重跟驰模式与多参数融合层次聚类的粘滞性车辆组团(Viscous Vehicle Group,VVG)识别框架。首先,基于普通跟驰(Normal Following,NF)与错位跟驰(Staggered Following,SF)两种微观跟驰模式,划分VVG的普通跟驰单元(Normal Following Unit,NFU)和错位跟驰单元(Staggered Following Unit,SFU);然后,从偶发拥堵特征、时空相似性和结构动态稳定性这3个维度出发,分别选取车速、时间间隔、空间间隔、速度差和加速度差这5个核心参数用以进行量化表征,结合Kolmogorov-Smirnov检验与统计分析进行参数筛选,并通过自底向上的层次聚类确定NFU与SFU的参数阈值范围,并识别VVG。以南京市道路实测交通流数据为例,实证结果表明:NFU与SFU参数的分布差异显著,支持将两种组团单元区分处理;在3088个车辆样本中成功识别出243辆参与VVG,有效验证了模型的识别能力;VVG多在偶发拥堵前出现,可作为拥堵前驱信号,预警成功率可达93.33%。本文为道路偶发拥堵预警提供理论和方法支持。
文摘溏心皮蛋与沙心皮蛋有着各自的口感和味道,均有各自受众,目前只能根据腌制时间来判断是溏心皮蛋还是沙心皮蛋,而这种方法不仅需要丰富的经验且误判比例较高。为了解决这一问题,本文设计了皮蛋红外图像和可见/近红外光谱采集装置,以及配套的溏心皮蛋和沙心皮蛋的分类模型。根据采集到的红外图像数据,在ResNet18网络添加MLCA(Mixed local channel attention)模块,得到的改进模型ResNet_MLCA实现了溏心皮蛋和沙心皮蛋的分类,准确率为95.0%。根据采集到的可见/近红外光谱数据,基于一维卷积设计了一维残差模块用于可见/近红外光谱数据的特征提取和分类,其对溏心皮蛋和沙心皮蛋分类准确率也达到95.0%。为了进一步提高模型检测准确率,将ResNet_MLCA模型所提取的红外图像特征和1D_ResNet所提取的可见/近红外光谱特征进行融合,得到的融合模型ResNet_OP对溏心皮蛋和沙心皮蛋分类准确率达到98.3%。研究成果提供了一种更低计算成本、更高准确率的溏心皮蛋和沙心皮蛋分类模型,对于指导皮蛋生产和提升皮蛋品质具有重要意义。
