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Energy Storage Data Reporting in Perspective-Guidelines for Interpreting the Performance of Electrochemical Energy Storage Systems

机译:透视准则中的储能数据报告,用于解释电化学储能系统的性能

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摘要

Due to the tremendous importance of electrochemical energy storage, numerous new materials and electrode architectures for batteries and supercapacitors have emerged in recent years. Correctly characterizing these systems requires considerable time, effort, and experience to ensure proper metrics are reported. Many new nanomaterials show electrochemical behavior somewhere in between conventional double-layer capacitor and battery electrode materials, making their characterization a non-straightforward task. It is understandable that some researchers may be misinformed about how to rigorously characterize their materials and devices, which can result in inflation of their reported data. This is not uncommon considering the current state of the field nearly requires record breaking performance for publication in high-impact journals. Incorrect characterization and data reporting misleads both the materials and device development communities, and it is the shared responsibility of the community to follow rigorous reporting methodologies to ensure published results are reliable to ensure constructive progress. This tutorial aims to clarify the main causes of inaccurate data reporting and to give examples of how researchers should proceed. The best practices for measuring and reporting metrics such as capacitance, capacity, coulombic and energy efficiencies, electrochemical impedance, and the energy and power densities of capacitive and pseudocapacitive materials are discussed.
机译:由于电化学能量存储的巨大重要性,近年来出现了许多用于电池和超级电容器的新材料和电极结构。正确表征这些系统需要大量时间,精力和经验,以确保报告正确的指标。许多新的纳米材料在常规双层电容器和电池电极材料之间的某些地方显示出电化学行为,使其表征成为一项非直截了当的任务。可以理解的是,一些研究人员可能对如何严格表征其材料和设备的信息不正确,这可能导致其报告数据膨胀。考虑到该领域的当前状况几乎需要打破纪录的性能才能在高影响力的期刊上发表,这种情况并不少见。错误的表征和数据报告会误导材料和设备开发社区,遵循严格的报告方法以确保发布的结果可靠以确保建设性进展是社区的共同责任。本教程旨在阐明数据报告不准确的主要原因,并举例说明研究人员应如何进行。讨论了测量和报告度量标准的最佳做法,例如电容,容量,库仑和能效,电化学阻抗以及电容性和伪电容性材料的能量和功率密度。

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