Multi-Objective Optimization of Energy Management and Sizing for a Hybrid Bus with Dual Energy Storage System

Victor Isaac Herrera, Aitor Milo, Haizea Gaztanaga, Haritza Camblong

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

18 Citas (Scopus)

Resumen

In this paper an optimal energy management strategy (EMS) for a hybrid electric bus (HEB) with a dual energy storage systems (ESS) combining batteries (BT) and supercapacitors (SC) is presented. The scenario considers the hybrid operation (engine+ESS), as well as the full electric operation (only ESS). Optimal targets for the proposed EMS are obtained by an optimization process with a multi-objective genetic algorithm (GA). The fitness functions are expressed in economic terms, and the aim is to minimize the daily operating cost of the HEB taking into account the BT and SC degradation approach and the performance fulfillment during bus operation in the zero-emission zone (full electric).

Idioma originalInglés
Título de la publicación alojada2016 IEEE Vehicle Power and Propulsion Conference, VPPC 2016 - Proceedings
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781509035281
DOI
EstadoPublicada - 19 dic. 2016
Publicado de forma externa
Evento13th IEEE Vehicle Power and Propulsion Conference, VPPC 2016 - Hangzhou, China
Duración: 17 oct. 201620 oct. 2016

Serie de la publicación

Nombre2016 IEEE Vehicle Power and Propulsion Conference, VPPC 2016 - Proceedings

Conferencia

Conferencia13th IEEE Vehicle Power and Propulsion Conference, VPPC 2016
País/TerritorioChina
CiudadHangzhou
Período17/10/1620/10/16

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