Full factorial design of experiments dataset for parallel-connected lithium-ion cells imbalanced performance investigation用于并联锂离子电池不平衡性能研究的实验数据集的全因子设计DATA IN BRIEFIF1.42024-04-012OAAI
Unveiling the performance impact of module level features on parallel-connected lithium-ion cells via explainable machine learning techniques on a full factorial design of experiments通过可解释的机器学习技术,在完整的析因实验设计中揭示模块级功能对并联锂离子电池的性能影响JOURNAL OF ENERGY STORAGEIF9.82024-04-012OAAI
Analysis of parallel connected lithium-ion cells imbalanced performance based on electrothermal modelling environment基于电热建模环境的并联锂离子电池不平衡性能分析2021 IEEE VEHICLE POWER AND PROPULSION CONFERENCE (VPPC)IF02021-10-013OA