发表机构
Astrolabe Analytics, Inc.（星盘分析公司）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文整理并发布了来自16个研究团队的22个公共电池现场数据集，涵盖多种应用，包含223 GB数据及293个故障，旨在为电池现场诊断、故障检测和健康估计提供平台，并促进电气化发展。
AI 中文摘要
电池系统和算法的开发与评估主要基于实验室循环数据，但实际部署的电池系统所承受的工况循环、温度及测量条件无法在实验室中复现。来自服役中电池的现场数据已开始以附带于个别论文的公共发布形式出现，但每次发布都有其独特的格式、单位、标签及其他缺口，使得相互之间的比较变得困难。我们提供了一个经过整理的集合，包含来自16个研究团队的22个公共现场数据发布，覆盖的应用领域包括乘用电动车、公交车、轻型电动交通、电网规模储能、分布式储能、消费电子和工业机器人。在这些发布的数据完整度足以进行测量的情况下，这一异构集合包含223 GB的数据，来自至少131,096个锂离子电池单体、1,998个电池系统、44.1 MWh的储能容量，以及1,253个发布单元年的观测数据。此外，它还包含293个已标注或报告的故障，这些故障提供了对实验室之外真实电池性能和安全问题更清晰的视野。我们发布了一个公共仓库，包含每个现场数据集的元数据和代码。对于每个数据集，它提供了一个注册条目，包含来源、许可和访问链接、用于确认下载完整的校验和、一个元数据表，以及如何加载数据的代码。我们还报告了发布的数据集与其论文之间的差异。我们希望这个集合能够帮助研究人员（无论是人类还是其他）作为一个有用的平台，以改进电池现场诊断、故障检测和健康估计。更好的现场证据也可以反馈用于改进制造质量、为二次利用筛选和残值估计提供信息，并广泛加速电气化进程。
英文摘要
Battery systems and algorithms are developed and evaluated primarily on laboratory cycling data, but fielded battery systems are subjected to duty cycles, temperatures, and measurement conditions that cannot be reproduced in a lab. Field data from batteries in service has begun to appear in public releases attached to individual papers, but each release has its own format, units, labels, and other gaps that make it difficult to compare against others. We present a curated collection of 23 public field-data releases from 17 research groups, covering applications that span passenger EVs, buses, light electric mobility, grid-scale storage, distributed storage, consumer electronics and industrial robotics. Where the releases are complete enough to measure, this heterogeneous collection contains 226 GB of data from at least 131,096 lithium-ion cells, 3,025 battery systems, 44.4 MWh of energy storage capacity, and 2,918 released unit-years of observation. It also contains 784 labeled or reported faults, which provide greater visibility into what real battery performance and safety issues look like outside the lab. We release a public repository of metadata and code for each of the field datasets. For each dataset it provides a registry entry with sources, license and access links, checksums to confirm a download is complete, a metadata table, and code for how to load it. We also report where released datasets differ from their papers. We hope the collection can help serve researchers (human or otherwise) as a useful platform for improving battery field diagnostics, fault detection and health estimation. Better field evidence can also feed back to improve manufacturing quality, inform second-life screening and residual-value estimates, and broadly accelerate electrification.
