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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Materials Map under construction

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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Munk-Nielsen, Stig

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Aalborg University

in Cooperation with on an Cooperation-Score of 37%

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Publications (20/20 displayed)

  • 2024Thermal cycling characterization of an integrated low-inductance GaN eHEMT power modulecitations
  • 2024Thermal cycling characterization of an integrated low-inductance GaN eHEMT power modulecitations
  • 2023Thermal Characteristics of Liquid Metal Interconnects for Power Semiconductors2citations
  • 2023Thermal Characteristics of Liquid Metal Interconnects for Power Semiconductors2citations
  • 2021Performance evaluation of lithium-ion batteries (LiFePO 4 cathode) from novel perspectives using a new figure of merit, temperature distribution analysis, and cell package analysis11citations
  • 2021Performance evaluation of lithium-ion batteries (LiFePO4 cathode) from novel perspectives using a new figure of merit, temperature distribution analysis, and cell package analysis11citations
  • 2020Parametric transformer using PM-inductors with saturation-gap1citations
  • 2018Frequency domain scanning acoustic microscopy for power electronics:Physics-based feature identification and selectivity7citations
  • 2018Frequency domain scanning acoustic microscopy for power electronics7citations
  • 2017Short-Circuit Degradation of 10-kV 10-A SiC MOSFET64citations
  • 2015Ageing monitoring in IGBT module under sinusoidal loading10citations
  • 2014A tapped-inductor buck-boost converter for a multi-DEAP generator energy harvesting system3citations
  • 2014A tapped-inductor buck-boost converter for a multi-DEAP generator energy harvesting system3citations
  • 2014A Tapped-Inductor Buck-Boost Converter for a Dielectric ElectroActive Polymer Generator8citations
  • 2014A Tapped-Inductor Buck-Boost Converter for a Dielectric ElectroActive Polymer Generator8citations
  • 2013An electromechanical model for a dielectric electroactive polymer generator2citations
  • 2013An Electromechanical Model of a Dielectric ElectroActive Polymer Generator2citations
  • 2013An Electromechanical Model of a Dielectric ElectroActive Polymer Generator2citations
  • 2012Energy Harvesting Cycles of Dielectric ElectroActive Polymer Generators8citations
  • 2012Energy Harvesting Cycles of Dielectric ElectroActive Polymer Generators8citations

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Co-Authors (by relevance)

  • Guo, Wendi
  • Takahashi, Masaki
  • Sun, Zhongchao
  • Jørgensen, Asger Bjørn
  • Bjørn Jørgensen, Asger
  • Iannuzzo, Francesco
  • Bęczkowski, Szymon
  • Baker, Nick
  • Jorgensen, Asger Bjorn
  • Beczkowski, Szymon
  • Knap, Vaclav
  • Song, Sungyoung
  • Uhrenfeldt, Christian
  • Rannestad, Bjørn
  • Aguilar, Andres Revilla
  • Julsgaard, Brian
  • Teodorescu, Remus
  • Sabri, Shadi
  • Hull, Brett
  • Vanbrunt, Edward
  • Juluri, Raghavendra Rao
  • Kerekes, Tamas
  • Grider, David
  • Eni, Emanuel-Petre
  • Pedersen, Kristian Bonderup
  • Ghimire, Pramod
  • Dimopoulos, Emmanouil
  • Willatzen, Morten
  • Trintis, Ionut
  • Rechenbach, Björn
  • Lassen, Benny
OrganizationsLocationPeople

article

Performance evaluation of lithium-ion batteries (LiFePO4 cathode) from novel perspectives using a new figure of merit, temperature distribution analysis, and cell package analysis

  • Knap, Vaclav
  • Munk-Nielsen, Stig
  • Song, Sungyoung
  • Uhrenfeldt, Christian
Abstract

A comprehensive performance evaluation is required to find an optimal battery for the battery energy storage system. Due to the relatively less energy density of lithium iron phosphate batteries, their performance evaluation, however, has been mainly focused on the energy density so far. In this paper, a multifaceted performance evaluation of lithium iron phosphate batteries from two suppliers was carried out. A newly proposed figure of merit, that can represent charging / discharging energy efficiency and thermal performance, is proposed. The figure of merit allows designers to conveniently select a battery with a higher round-trip efficiency and require less cooling load for the battery energy storage system. Temperature distribution characteristics, which can affect the accuracy of state prediction and lifespan, have been evaluated with a high-performance infrared camera. Even though the energy density of a certain battery is relatively lower, it has been confirmed that it could show better round-trip energy efficiency and thermal performance through the evaluations. It is revealed by structural analysis with three-dimensional X-ray computed tomography scanning that this performance difference is related to the tab design and package inside the batteries. Moreover, a temperature monitoring methodology to minimize temperature measurement errors in the battery management systems is proposed. This paper is including a video file of Supplementary material that shows 3D X-ray CT scanning results.<br/><br/>

Topics
  • density
  • impedance spectroscopy
  • energy density
  • tomography
  • laser emission spectroscopy
  • Lithium
  • iron