Lithium-ion battery pack cycling dataset with CC-CV charging and WLTP/constant discharge profiles
This work presents a database of a Lithium-ion battery pack cycling test generated from a custom testbench that simulates dynamic driving conditions based on the WLTP cycle. The current profiles are derived from speed–time data using MATLAB/Simulink and a Tesla Model 3 vehicle model. The dataset inc...
| Autores: | , , |
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| Tipo de recurso: | conjunto de datos |
| Fecha de publicación: | 2025 |
| País: | España |
| Institución: | Consorci de Serveis Universitaris de Catalunya (CSUC) |
| Repositorio: | CORA.Repositori de Dades de Recerca |
| OAI Identifier: | oai:dnet:cora.rdr____::6c5616407db9aa5722907e1d3b17b2f4 |
| Acceso en línea: | https://doi.org/10.34810/DATA2395 |
| Access Level: | acceso abierto |
| Palabra clave: | Computer and Information Science Engineering Electric battery Battery pack Driving cycle WLTP Cycling Lithium-ion |
| Sumario: | This work presents a database of a Lithium-ion battery pack cycling test generated from a custom testbench that simulates dynamic driving conditions based on the WLTP cycle. The current profiles are derived from speed–time data using MATLAB/Simulink and a Tesla Model 3 vehicle model. The dataset includes the time series of cell voltages, currents, surface temperatures, and pack-level resistance across up to 36 cells arranged in three parallel branches. Data is recorded under controlled thermal conditions and stored in an efficient PARQUET format. The system uses a CAN bus architecture and commercial automotive BMS units to replicate in-vehicle communication constraints, enhancing the dataset’s relevance for real-world battery management system development and validation. |
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