Artificial Neural Networks for Residual Capacity Estimation of Cycle-Aged Cylindric LFP Batteries

Artificial Neural Networks for Residual Capacity Estimation of Cycle-Aged Cylindric LFP Batteries

This paper introduces a data-driven methodology for accurately estimating the residual capacity (RC) of lithium iron phosphate (LFP) batteries through a tailored artificial neural network (ANN) architecture. The proposed model integrates a long short-term memory (LSTM) layer with a fully connected l...

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Bibliographic Details
Main Authors: Pasquale Franzese, Diego Iannuzzi, Roberta Merolla, Mattia Ribera, Ivan Spina
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Batteries
Subjects:
artificial neural network
battery residual capacity
method robustness
state of health
Online Access:https://www.mdpi.com/2313-0105/11/7/260
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