bsebench-org/yao-tu-berlin-2024-raw

这是一个锂离子电池驾驶循环数据集的Tier 1原始镜像，由Jiaqi Yao（柏林工业大学，2024年）创建，隶属于BSEBench组织。数据集旨在填补BSEBench V1.0选择调查中发现的空白：提供现代NMC电池单元在10 Hz采样率下的多温度动态驾驶遥测数据。数据集包含12个驾驶循环，涵盖汽车（如LA92、US06、FTP-72/75、HWFET）和重型车辆（如HHDDT、OCTBC、PDTCB、PDMHC、CSHVC）配置，为滤波器鲁棒性测试提供了卓越的工况多样性。具体内容涉及三个全新的LG INR21700 M50LT锂离子电池单元（额定容量4.93 Ah，NMC化学材料），在5个环境温度（5°C、15°C、25°C、35°C、45°C）下进行循环测试，总共有60多个配置-电池-温度组合。数据包括原始导出文件、分割后的驾驶循环数据以及预处理后的10 Hz数据，用于电池状态估计（如SOC和SOH）的基准测试。This is a Tier 1 raw mirror of the Lithium-Ion Battery Drive Cycle Dataset by Jiaqi Yao (TU Berlin, 2024), hosted under the BSEBench organization. The dataset addresses a major gap identified in the BSEBench V1.0 selection survey: authentic dynamic-driving telemetry on modern NMC cells with multi-temperature coverage at 10 Hz sampling. The 12 drive cycles span automotive (e.g., LA92, US06, FTP-72/75, HWFET) and heavy-duty (e.g., HHDDT, OCTBC, PDTCB, PDMHC, CSHVC) profiles, providing exceptional regime diversity for filter robustness testing. It includes three brand-new LG INR21700 M50LT lithium-ion battery cells (nominal capacity 4.93 Ah, NMC chemistry) cycled at 5 ambient temperatures (5°C, 15°C, 25°C, 35°C, 45°C), totaling over 60 profile-cell-temperature combinations. Data consists of raw exports, split drive cycle data, and preprocessed 10 Hz data for benchmarking battery state estimation (e.g., SOC and SOH).