Optimal sizing of storage elements for a vehicle based on fuel cells, supercapacitors, and batteries

To achieve a vehicle-efficient energy management system, an architecture composed of a PEM fuel cell as the main energy source and a hybrid storage system based on battery banks and supercapacitors is proposed. This paper introduces a methodology for the optimal component sizing aiming at minimizing...

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Bibliographic Details
Authors: Sampietro Saquicela, José Luis, Puig Cayuela, Vicenç|||0000-0002-6364-6429, Costa Castelló, Ramon|||0000-0003-2553-5901
Format: article
Publication Date:2019
Country:España
Institution:Universitat Politècnica de Catalunya (UPC)
Repository:UPCommons. Portal del coneixement obert de la UPC
Language:English
OAI Identifier:oai:upcommons.upc.edu:2117/132731
Online Access:https://hdl.handle.net/2117/132731
https://dx.doi.org/10.3390/en12050925
Access Level:Open access
Keyword:Fuel cells
optimal control
supercapacitors
batteries
fuel cell
hybrid vehicle
Supercondensadors
Piles de combustible
Emmagatzematge
Àrees temàtiques de la UPC::Informàtica::Automàtica i control
Description
Summary:To achieve a vehicle-efficient energy management system, an architecture composed of a PEM fuel cell as the main energy source and a hybrid storage system based on battery banks and supercapacitors is proposed. This paper introduces a methodology for the optimal component sizing aiming at minimizing the total cost, achieving a cheaper system that can achieve the requirements of the speed profiles. The chosen vehicle is an urban transport bus, which must meet the Buenos Aires Driving Cycle, and the Manhattan Driving Cycle. The combination of batteries and supercapacitors allows a better response to the vehicle’s power demand, since it combines the high energy density of the batteries with the high power density of the supercapacitors, allowing the best absorption of energy coming from braking. In this way, we address the rapid changes in power without reducing the global efficiency of the system. Optimum use of storage systems and fuel cell is analyzed through dynamic programming