Multi-step ahead battery SOC estimation using data-driven prognostics and health management
Conference paper
Pimentel, J., McEwan, A. and Yu, H. 2025. Multi-step ahead battery SOC estimation using data-driven prognostics and health management. ICSIE '24: 13th International Conference on Software and Information Engineering. Derby, United Kingdom 02 - 04 Dec 2024 ACM. https://doi.org/10.1145/3708635.3708642
| Authors | Pimentel, J., McEwan, A. and Yu, H. |
|---|---|
| Type | Conference paper |
| Abstract | This paper proposes a data-driven multi-step ahead battery state of charge (SOC) forecasting system that can be used for prognostics and health management (PHM) of a battery management system (BMS). Two long short-term memory (LSTM) recurrent neural networks (RNN) are implemented and tested, due to their unique capability to, at the same time, use a high number of past time steps and forecast a horizon of interest at real-time. This online inference is then capable to provide an advisory window in case the BMS needs to take any preventive action. The LSTM models, a stacked-LSTM |
| Keywords | PHM; SOC Estimation; Time Series Forecasting; Multi-Step Ahead; Bidirectional LSTM; Data-Driven |
| Year | 2025 |
| Conference | ICSIE '24: 13th International Conference on Software and Information Engineering |
| Journal | ICSIE '24: Proceedings of the 2024 13th International Conference on Software and Information Engineering |
| Publisher | ACM |
| Digital Object Identifier (DOI) | https://doi.org/10.1145/3708635.3708642 |
| Web address (URL) | https://dl.acm.org/doi/10.1145/3708635.3708642 |
| Accepted author manuscript | License File Access Level Open |
| Publisher's version | License File Access Level Restricted |
| Journal citation | pp. 104-109 |
| ISBN | 9798400717765 |
| Web address (URL) of conference proceedings | https://dl.acm.org/doi/proceedings/10.1145/3708635 |
| Output status | Published |
| Publication dates | |
| Online | 26 Apr 2025 |
| Publication process dates | |
| Accepted | Sep 2024 |
| Deposited | 19 May 2025 |
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https://repository.derby.ac.uk/item/q8z5z/multi-step-ahead-battery-soc-estimation-using-data-driven-prognostics-and-health-management
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Accepted author manuscript
| 2024_ICSIE_Submitted_Revised_15Sep2024.pdf | ||
| License: CC BY-NC-ND 4.0 | ||
| File access level: Open | ||
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