Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/5248
Title: Prognostics of Li-ion Batteries Using a Novel C-rate Dependent Aging Model
Authors: Routh, Bikky
Guha, Arijit
Mukhopadhyay, Siddhartha
Patra, Amit
Gadkar, Nilima
Keywords: Ampere-hour throughput
Capacity fade
C-rate
Lithium-ion battery
Issue Date: Jul-2025
Citation: 5th IEEE International Conference on Sustainable Energy and Future Electric Transportation(SEFET), MNIT Jaipur, Rajasthan, 9-12 July 2025
Abstract: Some of the Battery energy storage systems (BESS), like battery-based solar cold storage systems operate with minimal fluctuation load current. A generalized aging model for this kind of system would be favorable for the predictive maintenance of Lithiumion Batteries (LIBs). Considering this, a novel C-rate dependent aging model has been developed. The model developed is framed into the forecasting structure for the remaining useful life (RUL) prediction of LIBs using a particle filter (PF) framework. To validate the proposed methodology, comprehensive testing was conducted, including Cyclic Aging Tests (CAT) and Reference Performance Tests (RPT), on 2.6Ah LCO cells. The result shows a prediction error of just 18.60Ah, after training the model with the first 900Ah accumulated throughput.
Description: Copyright belongs to the proceeding publisher.
URI: http://hdl.handle.net/2080/5248
Appears in Collections:Conference Papers

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