宁德时代大数据管理与智能分析平台示范应用支撑数据

本数据集为宁德时代大数据管理与智能分析平台的示范应用支撑节选数据，旨在验证平台在真实复杂工况下的数据管理与智能分析能力。数据采集自时代绿色能源兖州储能电站，覆盖2024年4月10日、6月5日及8月17日的多柜运行时段。数据集不仅包含电池BMS及PCS系统的全量实时工况数据（如单体电压/温度列表、继电器状态、绝缘状态、SOH/SOC等），还特别收录了不同类型的电池故障原始数据及对应的检出结果。该数据集结构化程度高，适用于在高性能计算环境下验证储能大数据平台的稳定性、高并发处理能力以及智能故障诊断算法的有效性。This dataset is a selected supporting data subset for the demonstration application of the CATL (Contemporary Amperex Technology Co., Limited) Big Data Management and Intelligent Analysis Platform, aiming to validate the platform's data management and intelligent analysis capabilities under real complex working conditions. The data was collected from the Yanzhou Energy Storage Power Station of CATL Green Energy, covering multiple cabinet operation periods on April 10, June 5 and August 17, 2024. This dataset includes full real-time operating condition data from battery BMS and PCS systems, such as single-cell voltage/temperature lists, relay status, insulation status, SOH/SOC and other metrics, as well as specially collected original data of various types of battery faults and their corresponding detection results. Being highly structured, this dataset is suitable for verifying the stability, high-concurrency processing capability of energy storage big data platforms, and the effectiveness of intelligent fault diagnosis algorithms in high-performance computing environments.

搜集汇总

背景与挑战

背景概述

该数据集是宁德时代大数据管理与智能分析平台的示范应用支撑节选数据，源自时代绿色能源兖州储能电站2024年的多时段运行数据，包含电池BMS、PCS系统的全量工况信息及故障数据。它旨在验证储能大数据平台在真实复杂工况下的稳定性、高并发处理能力和智能故障诊断算法的有效性。