Robust Remaining Useful Lifetime Prediction for Lithium-ion Batteries with Dual Gaussian Process Regression-based Ensemble Strategies on Limited Sample Data

IF 7.2 1区工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Transactions on Transportation Electrification Pub Date : 2024-11-22 DOI:10.1109/tte.2024.3504743

Xingjun Li, Dan Yu, Søren Byg Vilsen, Venkat Subramanian, Daniel Ioan Stroe

引用次数: 0

查看原文本刊更多论文

在有限样本数据上采用基于双高斯过程回归的集合策略预测锂离子电池的可靠剩余使用寿命

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

IEEE Transactions on Transportation Electrification Engineering-Electrical and Electronic Engineering

CiteScore

12.20

自引率

15.70%

发文量

449

期刊介绍： IEEE Transactions on Transportation Electrification is focused on components, sub-systems, systems, standards, and grid interface technologies related to power and energy conversion, propulsion, and actuation for all types of electrified vehicles including on-road, off-road, off-highway, and rail vehicles, airplanes, and ships.