EVBattery: A Large-Scale Electric Vehicle Dataset for Battery Health and Capacity Estimation

Electric vehicles (EVs) play an important role in reducing carbon emissions. As EV adoption accelerates, safety issues caused by EV batteries have become an important research topic. In order to benchmark and develop data-driven methods for this task, we introduce a large and comprehensive dataset of EV batteries. Our dataset includes charging records collected from hundreds of EVs from three manufacturers over several years. <br> Meanwhile, our dataset features two types of labels, corresponding to two key tasks - battery health estimation and battery capacity estimation. We hope that this public dataset provides valuable resources for researchers, policymakers, and industry professionals to better understand the dynamics of EV battery aging and support the transition toward a sustainable transportation system.

电动汽车（Electric Vehicles，EVs）在降低碳排放方面发挥着重要作用。随着电动汽车的普及步伐不断加快，由电动汽车电池引发的安全问题已成为重要的研究课题。
为了为本任务构建基准数据集并开发数据驱动方法，我们推出了一款大型且全面的电动汽车电池数据集。本数据集包含多年来从三家制造商的数百辆电动汽车上采集的充电记录。与此同时，本数据集配备两类标签，分别对应两项核心任务——电池健康评估与电池容量估算。
我们希望这一公开数据集能够为研究人员、政策制定者以及行业专业人士提供宝贵资源，助力其更好地洞悉电动汽车电池老化的动态变化规律，并为可持续交通系统的转型提供支持。

搜集汇总

背景与挑战

背景概述

EVBattery是一个大规模电动汽车电池数据集，包含来自三家制造商的数百辆电动汽车多年充电记录，并提供电池健康估计和电池容量估计两种标签类型，旨在支持电动汽车电池老化动态研究。