Investigations on Using Intelligent Learning Techniques for Anomaly Detection and Diagnosis in Sensors Signals in Li-Ion Battery—Case Study

Investigations on Using Intelligent Learning Techniques for Anomaly Detection and Diagnosis in Sensors Signals in Li-Ion Battery—Case Study

This research paper aims to design and implement an intelligent least short time memory (LSTM) deep learning classification technique to detect possible anomalies in measurements dataset within a particular Li-ion battery type. For the state of charge (SOC) and battery faults estimation, a Joint Sta...

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Bibliographic Details
Main Authors: Nicolae Tudoroiu, Mohammed Zaheeruddin, Roxana-Elena Tudoroiu, Mihai Sorin Radu, Hana Chammas
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Inventions
Subjects:
lithium-ion battery
Simulink Simscape generic model
joint extended Kalman filter estimator
fault diagnosis and isolation
deep learning shallow neural network
LSTM deep learning network
Online Access:https://www.mdpi.com/2411-5134/8/3/74

Internet

https://www.mdpi.com/2411-5134/8/3/74

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