Optimized Sigmoid-Based Complete Ensemble Empirical Mode Decomposition for Energy Management in Hybrid Electric Vehicles

Optimized Sigmoid-Based Complete Ensemble Empirical Mode Decomposition for Energy Management in Hybrid Electric Vehicles

This article proposes a sigmoid-based particle swarm optimization (PSO) for a complete ensemble empirical mode decomposition (SPSO-CEEMD) applied to the energy management system of a hybrid electric vehicle. The low-frequency power demand, to be supplied by the lithium-ion battery (LIB) and internal...

Full description

Saved in:
Bibliographic Details
Main Authors: Lucas Jonys Ribeiro Silva, Marcio Von Rondow Campos, Thales Augusto Fagundes, Bruno Meneghel Zilli, Rodolpho Vilela Alves Neves, Ricardo Quadros Machado, Vilma Alves de Oliveira
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Open Journal of the Industrial Electronics Society
Subjects:
Empirical mode decomposition
energy management system (EMS)
hybrid electric vehicle (HEV)
sigmoid functions
voltage restoration
Online Access:https://ieeexplore.ieee.org/document/10960315/
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://ieeexplore.ieee.org/document/10960315/

Similar Items