动力电池健康状态评估数据集

针对新能源汽车动力电池安全性能演化规律模糊，健康评估准确率低等问题，课题聚焦关键科学问题“动力电池安全性能演化规律”突破性能演化规律分析、动力电池健康性能评估等关键问题，对动力电池健康状态进行指标分配和权重分配，建立了动力电池健康状态评估模型，本数据集包括普适性模型评估数据、数据驱动模型评估数据，数据量为51kBAiming at the issues including ambiguous evolution laws of safety performance and low accuracy of health assessment for new energy vehicle power batteries, this study focuses on the key scientific problem "evolution laws of power battery safety performance", and tackles key challenges such as performance evolution law analysis and power battery health performance assessment. It carries out index and weight allocation for the health state of power batteries, and establishes a power battery health state assessment model. This dataset covers general-purpose model evaluation data and data-driven model evaluation data, with a total size of 51 kB.

搜集汇总

背景与挑战

背景概述

该数据集是用于新能源汽车动力电池健康状态评估的试验数据集合，主要包括SOH衰退、膨胀力和自放电三类测试数据，由电池性能测试机等设备采集，数据量为4.03MB。它源自国家重点研发计划项目，旨在支持动力电池性能分析和算法开发，适用于车辆工程和交通运输领域的研究。