Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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Van Den Bossche, Peter

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Vrije Universiteit Brussel

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (6/6 displayed)

  • 2012Rechargeable Energy Storage Systems for Plug-in Hybrid Electric Vehicles-Assessment of Electrical Characteristicscitations
  • 2012Taenia solium infections in a rural area of Eastern Zambia: a community based study78citations
  • 2010Evaluation of performance characteristics of various lithium-ion batteries for use in BEV application54citations
  • 2010Evaluation of performance characteristics of various lithium batteries for use in BEV applicationcitations
  • 2010Assessment of Performance Characteristics of Lithium-Ion Batteries for PHEV Vehicles Applications Based on a Newly Test Methodologycitations
  • 2009Internal resistance of cells of lithium battery modules with FreedomCAR modelcitations

Places of action

Chart of shared publication
Daowd, Mohamed Ali Abdelfattah Hamoda
3 / 3 shared
Hegazy, Omar
1 / 3 shared
Omar, Noshin
4 / 7 shared
Van Mierlo, Joeri
4 / 16 shared
Smekens, Jelle
1 / 2 shared
Coosemans, Thierry
1 / 3 shared
Mwape, Kabemba E.
1 / 1 shared
Phiri, Isaac K.
1 / 1 shared
Gabriël, Sarah
1 / 1 shared
Dorny, Pierre
1 / 1 shared
De Deken, Reginald
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Speybroeck, Niko
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Praet, Nicolas
1 / 1 shared
Muma, John B.
1 / 1 shared
Zulu, Gideon
1 / 1 shared
Pauwels, Stijn
1 / 1 shared
Dhaens, Miguel
1 / 1 shared
Daowd, Mohamed
1 / 1 shared
Mulder, Grietus
3 / 3 shared
Verbrugge, Bavo
3 / 3 shared
Pauwels, S.
1 / 1 shared
Culcu, Hasan
1 / 2 shared
Chart of publication period
2012
2010
2009

Co-Authors (by relevance)

  • Daowd, Mohamed Ali Abdelfattah Hamoda
  • Hegazy, Omar
  • Omar, Noshin
  • Van Mierlo, Joeri
  • Smekens, Jelle
  • Coosemans, Thierry
  • Mwape, Kabemba E.
  • Phiri, Isaac K.
  • Gabriël, Sarah
  • Dorny, Pierre
  • De Deken, Reginald
  • Speybroeck, Niko
  • Praet, Nicolas
  • Muma, John B.
  • Zulu, Gideon
  • Pauwels, Stijn
  • Dhaens, Miguel
  • Daowd, Mohamed
  • Mulder, Grietus
  • Verbrugge, Bavo
  • Pauwels, S.
  • Culcu, Hasan
OrganizationsLocationPeople

article

Internal resistance of cells of lithium battery modules with FreedomCAR model

  • Culcu, Hasan
  • Van Den Bossche, Peter
Abstract

Batteries are often tested per cell.But in most cases more than one single cell is needed for an application and the characteristics of a module of cells is not the same.In other cases the whole module is examined as one big cell, without looking on the individual cells.But the weakest cell affects the performance of the whole module.This research goes deeper than the module approach on batteries: the behaviour of individual cells is examined while they are working together in a module.The battery model consists in most researches of an ideal voltage source and a simple internal resistance.In this work the advanced FreedomCAR battery model, created by Idaho National Laboratories (USA), is used: the cell is represented by an ideal voltage source with two internal resistances and two capacitors.Usually batteries are tested with very low constant currents (till 5% of the nominal current value) to show a high capacity value to the customer, while the customer needs the characteristics of the battery in real conditions.Here the parameters are calculated by testing the battery packets in high pulse conditions.The matching between the predicted and the measured voltage is proportional with the quality of the model.This was around 99% (+-1%) in the tests.This means that the model is very close to the reality.Three types of Lithium-ion battery packets with 6-7 cells were tested.

Topics
  • impedance spectroscopy
  • Lithium