CycleLife-SJTUIE

该数据集名为CycleLife-SJTUIE，用于验证经过微调的Battery-Timer模型在预测电池容量退化方面的性能。该数据集展现出在容量退化预测方面强大的零样本泛化能力，并用于与原始Timer模型进行比较。该数据集的规模大约为10GB，其任务是对电池容量退化进行预测。

The dataset, named CycleLife-SJTUIE, is developed to validate the performance of the fine-tuned Battery-Timer model in battery capacity degradation prediction. This dataset demonstrates strong zero-shot generalization capability for capacity degradation prediction, and is employed for comparison with the original Timer model. With a size of approximately 10 GB, its core task focuses on battery capacity degradation prediction.

搜集汇总

背景与挑战

背景概述

CycleLife-SJTUIE数据集包含8个锂离子电池的容量退化数据，支持不同充电策略（CC和CCCV）和温度条件下的电池健康预测研究。数据集详细记录了电池的规格、实验设置和测试循环过程，适用于电池寿命预测和健康管理的研究。