Loading...
State of Health Estimation of LFP Batteries Using DC Internal Resistance and Neural Network
Author(s)
Date Issued
January 1, 2022
Type
Conference Paper
Abstract
Studying the state of health estimation of lithium-ion phosphate batteries (LFP) using an Artificial neural network (ANN). This research examines the relationship between DC internal resistance and the state of health (SoH) of batteries. The advantage of DC internal resistance measurement is that it does not require battery removal from the system. Analysis of degradation patterns in the application of several cycles. Then apply the previously studied relationship to train the ANN to design and test the model with other battery packs. As a result, the error value is acceptable. ( MAE = 9.06%, MSE = 1.23% and RMSE = 11.11% ). Thus, this ANN Model can assist in the early detection of a potential battery failure due to battery degradation.
Citation
19th International Conference on Electrical Engineering Electronics Computer Telecommunications and Information Technology Ecti Con 2022, 2022