Comparative Study Between Unscented Kalman Filter and Multi-Layer Perceptron Applied in an Electric Vehicle Simulation with Pack Parameters Generated from the Database-Reference-Cited by-同舟云学术

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Comparative Study Between Unscented Kalman Filter and Multi-Layer Perceptron Applied in an Electric Vehicle Simulation with Pack Parameters Generated from the Database

Published:2023-10-24 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 IEEE Vehicle Power and Propulsion Conference (VPPC)
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Author:

Monteiro de Souza Kawe¹^ORCID,Rodolfo Galvão José²^ORCID,Augusto Pessatto Mondadori Jorge³^ORCID,Cristina Corrêa Fernanda²^ORCID,Broniera Junior Paulo³^ORCID,Bernadete de Morais França Maria¹^ORCID

Affiliation:

1. State University of Londrina (UEL),Dept. Postgraduate Degree in Electrical Engineering,Londrina,Brazil

2. Federal University of Technology (UTFPR),Graduate Program in Electrical Engineering (PPGEE),Ponta Grossa,Brazil

3. Senai Institute of Inf. and Communication Technology (ISTIC),Laboratory LAPSEE-PIM,Londrina,Brazil

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10403113/10403114/10403279.pdf?arnumber=10403279

Reference25 articles.

1. State of Charge Estimation for Lithium-Ion Batteries Using Model-Based and Data-Driven Methods: A Review

2. Current Trends for State-of-Charge (SoC) Estimation in Lithium-Ion Battery Electric Vehicles

3. Machine Learning Applied to Electrified Vehicle Battery State of Charge and State of Health Estimation: State-of-the-Art

4. A rapid online calculation method for state of health of lithium-ion battery based on coulomb counting method and differential voltage analysis

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