Modeling, control and power management of hybrid photovoltaic fuel cells with battery bank supplying electric vehicle

Mokrani, Zahra; Rekioua, Djamila; Rekioua, Toufik

doi:10.1016/j.ijhydene.2014.03.215

Cited by 103 publications

(34 citation statements)

References 10 publications

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“…2). The cell voltage V PEMFC is given as the summation of Nernst voltage E Nernst due to various irreversible loss mechanisms, activation overvoltage U act , concentration or diffusion overvoltage U conc and resistive or ohmic over-voltage U ohm [1,4,8].…”

Section: Fuel Cell Pemfc Modelmentioning

confidence: 99%

PEM fuel cell/ battery storage system supplying electric vehicle

Mebarki

Rekioua

Mokrani

et al. 2016

International Journal of Hydrogen Energy

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Section: Fuel Cell Pemfc Modelmentioning

confidence: 99%

PEM fuel cell/ battery storage system supplying electric vehicle

Mebarki

Rekioua

Mokrani

et al. 2016

International Journal of Hydrogen Energy

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“…In most of conventional algorithms that are used to control the power flow of hybrid systems based on at least two storage elements or more, the choice between the storage elements is based only on the SOC of each one . These algorithms make a sequence of SOC tests and the first available element will be used give the needed energy.…”

Section: Fuzzy Logic‐based Energy Managementmentioning

confidence: 99%

Fuzzy energy management of hybrid renewable power system with the aim to extend component lifetime

Ameur

Hadjaissa

Cheikh

et al. 2017

Int. J. Energy Res.

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Summary In this paper, a fuzzy energy management algorithm for a hybrid renewable power system based on lifetime extending is presented. When the system contains two storage elements or more, the selection of the suitable element to be charged or discharged becomes of paramount importance. When the storage elements are of different types, the decision will be difficult. Conventional algorithms that make series of tests to select the storage element choose always the first available element. This way of testing affects badly the most used element and may affect the other storage elements too as they rarely operate under hard load scenarios. In this study, and in order to solve this problem, two fuzzy controllers have been used to manage the energy flow for a hybrid renewable power system. It is composed of: a photovoltaic generator as a main source, a fuel cell and batteries as a storage elements. The controllers operate as master and slave. The master controller gives orders to all the system power converters and to the slave controller as well. The latter is activated only when the storage elements are at the same state of charge. It is charged, instead of the master's, to select the suitable element to be charged or discharged. Its orders are given based on lifetime functions for each element. To examine the proposed algorithm, simulations have been performed under Matlab/Simulink (The MathWorks, Inc., Massachusetts, USA). Comparison and statistics have been carried out to give the percentage of the worked hours for each element in each operating mode. The obtained results show the high performance of the proposed algorithm. Copyright © 2017 John Wiley & Sons, Ltd.

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“…The cell voltage V PEMFC is given as the summation of Nerst voltage E Nerst due to various irreversible loss mechanisms, activation overvoltage U act , concentration or diffusion overvoltage U conc and resistive or ohmic over-voltage U ohm [1,4,8]. (13) where: where C * O2 is the oxygen concentration in the cathode area (mol/cm 3 ), b i are constants, S cell : Area active cell (m 2 ), R c : equivalent contact resistance of the electrodes conduction (U),T PEMFC : absolute operating temperature of the stack (K), a i are constants…”

Section: Fuel Cell Pemfcmentioning

confidence: 99%