Dataset reveals time series data from lithium-ion battery cycling in a test bench, suggesting enhanced real-world BMS development.
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.
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Vega et al. (2025) studied this question.
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