Capacity Fade Estimation of LiFePo Cells Based on Improved Impulse Response Method: Experimental Results-Reference-Cited by-同舟云学术

Capacity Fade Estimation of LiFePo Cells Based on Improved Impulse Response Method: Experimental Results

Published:2023-03-29 Issue: Volume: Page:
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Container-title:2023 IEEE International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference (ESARS-ITEC)
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Author:

Iannuzzi Diego¹,Ribera Mattia¹,Satariano Paola¹,Fedele Emanuele¹,Pagliarini Francesco²,Cennamo Pasquale³,Orsini Filippo⁴,Petrazzuoli Luigi⁵,Spinelli Marcello⁶

Affiliation:

1. University of Naples Federico II,Electrical Engineering and Information, Technology Department -DIETI,Naples,Italy

2. Chief Technology Officer FIB S.p.A.

3. Senior Hardware Engineer FIB S.p.A.

4. Director of Mechanical Engineering FIB S.p.A.

5. Director of Hardware Engineering FIB S.p.A.

6. Director of Software Engineering FIB S.p.A.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10114798/10114807/10114873.pdf?arnumber=10114873

Reference12 articles.

1. Prognostics of Lithium-Ion Batteries using Extended Kalman Filtering;he;Proc IMAPS Adv Technol Workshop High Rel Microelectron Military Appl,2011

2. Modeling and online parameter identification of Li-Polymer battery cells for SOC estimation

3. Online Estimation of Capacity Fade and Power Fade of Lithium-Ion Batteries Based on Input–Output Response Technique

4. State-of-Health Estimation and Remaining-Useful-Life Prediction for Lithium-Ion Battery Using a Hybrid Data-Driven Method

5. Behavior and state-of-health monitoring of Li-ion batteries using impedance spectroscopy and recurrent neural networks

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