Citation

Ulfat, MST. Asfia Binte and Begum, Afsana and Mamun, Md. Abdulla Al and Azam, Sawdagar Noor Asfuq E and Hassan, Md. Mahedi and Mahmud, Imran and Sadi, A.H.M. Saifullah and Sayeed, Md. Shohel (2026) Industrial LiFePO₄ battery management system dataset for early degradation analysis and remaining useful life prediction. Data in Brief, 69. p. 113252. ISSN 23523409

Text Industrial LiFePO₄ battery management system dataset for early degradation analysis and remaining useful life prediction.pdf - Published Version Restricted to Repository staff only Download (2MB)

Abstract

This data article describes an experiment-informed R&D dataset associated with an industrial LiFePO₄ battery pack with a nominal voltage of 25.6 V and a rated capacity of 40 Ah. The dataset was prepared with industrial support from GMP Lithium Ltd., Bangladesh, and represents battery operational behaviour and capacity degradation within practical industrial operating ranges. Capacity(Ah) follows a deterministic degradation trajectory calibrated to the manufacturer’s ageing-test end points, whereas the pack-level operating variables and the eight cell voltages are structured (simulated) cycle-level values generated within the manufacturer’s specification limits; the complete generating equations are reported. The dataset consists of 3000 sequential charge-discharge cycle records in CSV format. Each record contains pack identification, cycle number, battery capacity, State of Health, Remaining Useful Life, pack voltage, pack current, a normalized lifecycle progress indicator labelled DoD(%), * ⁎ Throughout this article, DoD(%) denotes a normalized lifecycle progress indicator, calculated as (CycleNumber / 3000) × 100, and not the physical depth of discharge of an individual charge–discharge cycle. The column name is retained for compatibility with the Mendeley Data record (see Section 2.2.5). operating temperature, and individual voltage measurements from eight series-connected cells. The dataset contains 17 variables, including indicators of battery degradation, pack-level operating conditions, and cell-level voltage behaviour. Supporting documentation, including a codebook, README file, and data publication permission letter, is provided with the dataset in the Mendeley Data repository. The dataset can be reused for battery degradation analysis, State of Health estimation, Remaining Useful Life prediction, assessment of cell-voltage imbalance, feature analysis, and development and evaluation of machine learning and deep learning models. The combination of capacity, operational, and cell-level voltage variables enables the study of battery ageing at both pack and cell level. It is not a raw continuous BMS log and was not sampled directly from a physical test bench; it should not be interpreted as such.

Item Type:	Article
Uncontrolled Keywords:	Battery management system, Lithium iron phosphate battery
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK2896-2985 Production of electricity by direct energy conversion
Divisions:	Faculty of Information Science and Technology (FIST)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	05 Oct 2026 01:38
Last Modified:	05 Oct 2026 01:38
URII:	http://shdl.mmu.edu.my/id/eprint/16853

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