Scholarlink

<p>This work presents a database of a lithium-ion battery pack cycling tests generated from a custom test bench that simulates dynamic driving conditions based on the WLTP cycle. Current profiles were derived from speed-time data using MATLAB/Simulink and a Tesla Model 3 vehicle model. The dataset includes time series data on cell voltages, currents, surface temperatures, and pack-level resistance from up to 36 cells arranged in three parallel branches. The data is recorded under controlled thermal conditions and stored in an efficient PARQUET format. The system uses a controller area network (CAN) bus architecture and commercial automotive battery management system (BMS) units to replicate in-vehicle communication constraints, enhancing the dataset’s relevance for real-world battery management system development and validation.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Lithium-Ion Battery Pack Cycling Dataset with CC-CV Charging and WLTP/Constant Discharge Profiles

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年12月10日

查看全文
  • Joaquín de la Vega Hernández,
  • Juan A. Ortega-Redondo,
  • Jordi-Roger Riba

摘要

This work presents a database of a lithium-ion battery pack cycling tests generated from a custom test bench that simulates dynamic driving conditions based on the WLTP cycle. Current profiles were derived from speed-time data using MATLAB/Simulink and a Tesla Model 3 vehicle model. The dataset includes time series data on cell voltages, currents, surface temperatures, and pack-level resistance from up to 36 cells arranged in three parallel branches. The data is recorded under controlled thermal conditions and stored in an efficient PARQUET format. The system uses a controller area network (CAN) bus architecture and commercial automotive battery management system (BMS) units to replicate in-vehicle communication constraints, enhancing the dataset’s relevance for real-world battery management system development and validation.