Lithium-ion SOC optimizer consumption using accelerated particle swarm optimization and temperature criterion

Juan D. Valladolid, Juan P. Ortiz, Felipe A. Berrezueta, Gina P. Novillo

Producción científica: Capítulo del libro/informe/acta de congresoContribución de conferenciarevisión exhaustiva

3 Citas (Scopus)

Resumen

Battery has a fundamental role in energy storage systems for hybrid electric vehicles (HEV), plug-in hybrid electric vehicles (PHEV), electric vehicles (EV) and nowadays in smart grids. The battery state of charge (SOC) behavior is affected by operating temperature reducing its supply capacity or energy storage, therefore, it has been considered important to establish a mathematical model from experimental data of a electric vehicle during route tests. This article presents a metaheuristic optimization method based on accelerated particle swarm optimization (APSO) for SOC maximization during Lithium-ion (Li-ion) batteries charge and discharge states. The proposed optimization model reach to satisfy the balance between: current, temperature and time for the battery to supply the required amount of energy, minimizing the SOC reduction, subject to system specific restrictions. Simulation results show an improvement in the SOC without sacrificing the energy supply of the battery, which demonstrates the potential of the optimization technique in the EV.

Idioma originalInglés
Título de la publicación alojada2019 AEIT International Conference of Electrical and Electronic Technologies for Automotive, AEIT AUTOMOTIVE 2019
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9788887237436
DOI
EstadoPublicada - jul. 2019
Evento2019 AEIT International Conference of Electrical and Electronic Technologies for Automotive, AEIT AUTOMOTIVE 2019 - Turin, Italia
Duración: 2 jul. 20194 jul. 2019

Serie de la publicación

Nombre2019 AEIT International Conference of Electrical and Electronic Technologies for Automotive, AEIT AUTOMOTIVE 2019

Conferencia

Conferencia2019 AEIT International Conference of Electrical and Electronic Technologies for Automotive, AEIT AUTOMOTIVE 2019
País/TerritorioItalia
CiudadTurin
Período2/07/194/07/19

Nota bibliográfica

Publisher Copyright:
© 2019 AEIT.

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