Comprehensive Comparison of Machine Learning and Kalman Filter Battery State of Charge Estimators

Comprehensive Comparison of Machine Learning and Kalman Filter Battery State of Charge Estimators

This paper provides a comprehensive review of five different methods for estimating state of charge (SoC): feedforward neural network (FNN), nonlinear autoregressive with exogenous inputs (NARX) neural network, long short-term memory (LSTM) neural network, extended Kalman filter (EKF), and unscented...

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Bibliographic Details
Main Authors: Romulo Vieira, Phil Kollmeyer, Lea Pitault, Ali Emadi
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Electric vehicles
execution time
Kalman filters
lithium-ion batteries
memory use
neural networks
Online Access:https://ieeexplore.ieee.org/document/10901959/
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