SiCWell Dataset

Fast-switching semiconductors induce current ripples on the high-voltage DC bus in the electric vehicle (EV). This paper describes the methods used in the project SiCWell and a new approach to investigate the influence of these overlaid ripples on the battery in EVs and to develop a corresponding dataset. The current ripple generated by the main inverter is demonstrated with a measurement obtained from an electric vehicle. The occurring current ripple depends on the architecture of the drive train and on the operation point of the vehicle. A simulation model is presented which is based on an artificial reference DC bus, according to ISO 21498-2, and uses driving cycles in order to obtain current profiles relevant for battery cycling. A prototype of a battery cycling tester capable of high frequency and precise current ripple generation was developed and is used to cycle cells with superimposed ripple currents within an aging study. To investigate the impact of the frequency and the amplitude of the currents on the battery’s lifetime, these ripple parameters are varied between different test series.Cell parameters such as impedance and capacity are regularly characterized and the aging of the cells is compared to standard DC cycled reference cells. The aging study includes a total of 60 automotive-sized pouch cells. The evaluation of current ripples and their impact on the battery can improve the state-of-health diagnosis and remaining-useful life prognosis. For the development and validation of such methods, the cycled cells are monitored with a measurement system that regularly measures current and voltage with a sampling rate of 2 MHz. The resulting dataset is suitable for the design of future current ripple aging studies as well as for the development and validation of aging models and methods for battery diagnosis.

搜集汇总

背景与挑战

背景概述

SiCWell Dataset 是一个用于电动汽车锂离子电池建模与诊断的数据集，包含车辆驱动参数、多种电流曲线（如sWLTC和UDDS）以及不同老化场景下的电池测试数据（容量、内阻、阻抗等），数据以CSV和HDF5格式提供，适用于电池健康状态分析和机器学习研究。