Next Article in Journal
Improving Transient Stability in a Grid-Connected Squirrel-Cage Induction Generator Wind Turbine System Using a Fuzzy Logic Controller
Next Article in Special Issue
A Four-Phase High Voltage Conversion Ratio Bidirectional DC-DC Converter for Battery Applications
Previous Article in Journal
Effects of Yaw Error on Wind Turbine Running Characteristics Based on the Equivalent Wind Speed Model
Previous Article in Special Issue
A Rule-Based Energy Management Strategy for a Plug-in Hybrid School Bus Based on a Controller Area Network Bus
Article Menu

Export Article

Open AccessArticle
Energies 2015, 8(7), 6302-6327; doi:10.3390/en8076302

Power Management Optimization of an Experimental Fuel Cell/Battery/Supercapacitor Hybrid System

Chair of Energy Technology, University of Duisburg-Essen, Lotharstr. 1, 47057 Duisburg, Germany
*
Author to whom correspondence should be addressed.
Academic Editors: Joeri Van Mierlo and Omar Hegazy
Received: 13 March 2015 / Revised: 13 June 2015 / Accepted: 15 June 2015 / Published: 25 June 2015
(This article belongs to the Special Issue Advances in Plug-in Hybrid Vehicles and Hybrid Vehicles)
View Full-Text   |   Download PDF [2001 KB, uploaded 25 June 2015]   |  

Abstract

In this paper, an experimental fuel cell/battery/supercapacitor hybrid system is investigated in terms of modeling and power management design and optimization. The power management strategy is designed based on the role that should be played by each component of the hybrid power source. The supercapacitor is responsible for the peak power demands. The battery assists the supercapacitor in fulfilling the transient power demand by controlling its state-of-energy, whereas the fuel cell system, with its slow dynamics, controls the state-of-charge of the battery. The parameters of the power management strategy are optimized by a genetic algorithm and Pareto front analysis in a framework of multi-objective optimization, taking into account the hydrogen consumption, the battery loading and the acceleration performance. The optimization results are validated on a test bench composed of a fuel cell system (1.2 kW, 26 V), lithium polymer battery (30 Ah, 37 V), and a supercapacitor (167 F, 48 V). View Full-Text
Keywords: fuel cell/battery/supercapacitor hybrid; power management; multi-objective optimization; durability; experimental validation fuel cell/battery/supercapacitor hybrid; power management; multi-objective optimization; durability; experimental validation
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Odeim, F.; Roes, J.; Heinzel, A. Power Management Optimization of an Experimental Fuel Cell/Battery/Supercapacitor Hybrid System. Energies 2015, 8, 6302-6327.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top