Publicado

2017-01-01

Simulation of an EV-HEV Charging Station for Multichemistry Batteries Using Energetic Macroscopic Representation (REM)

Palabras clave:

Multi-chemistry batteries, Electric Vehicle (EV) and Hybrid Electric Vehicles (HEV), Charging algorithms, battery technology identification, Photovoltaic Panels (PVP) (en)

Descargas

Autores/as

  • Laura Cristina Aparicio Gutiérrez
  • Luis Carlos Pérez Ospino,
  • Javier Solano

Massification of electric vehicles (EV) and hybrid electric vehicles (HEV) requires the implementation and optimization of battery charging stations adapted to charge multi-chemistry batteries. Charging algorithms must identify the battery technology (Li-Ion and NiMH) and perform a charge which minimize the charging time while maximize the batteries lifetime. In this paper, Energetic Macroscopic Representation formalism is used to model a charging station with integration of photovoltaic generators. Simulation results illustrate the recharge of a Nissan Leaf and a Renault Twizy Li-Ion - EV and a Toyota Prius NiMH HEV charging.

Visitas a la página del resumen del artículo

382

Descargas

Los datos de descarga aún no están disponibles.

Cómo citar

Aparicio Gutiérrez, L. C., Pérez Ospino, L. C., & Solano, J. (2017). Simulation of an EV-HEV Charging Station for Multichemistry Batteries Using Energetic Macroscopic Representation (REM). Simposio Internacional Sobre La Calidad De La Energía Eléctrica - SICEL, 9. https://revistas.unal.edu.co/index.php/SICEL/article/view/64214