Optimization of Li-Ion batteries through modelling techniques

Jelle Smekens; Joeri Van Mierlo; Noshin Omar; Annick Hubin; Peter Van Den Bossche

Optimization of Li-Ion batteries through modelling techniques

Jelle Smekens, Joeri Van Mierlo, Noshin Omar, Annick Hubin, Peter Van Den Bossche

Onderzoeksoutput: Conference paper

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Samenvatting

Battery performance and lifetime constitute a bottleneck for electric vehicles and stationary electric energy storage systems to penetrate the market. Electrochemical or physics based battery models are one of the engineering tools to enhance their performance. These models should enable us to optimize the cell design and the battery management system. In this study we evaluate the ability of the much used Porous Electrode Model (PEM) to predict the effect of changing cathode density in the overall performance of a Li-Ion cell. We conclude that the PEM is well capable of predicting battery discharge capacities for cells with changing cathode density.

Originele taal-2	English
Titel	The 28th International Electric Vehicle Symposium and Exhibition
Subtitel	EVS28, Kintex, Korea
Uitgeverij	IEEE
Aantal pagina's	7
Status	Published - mei 2015
Evenement	Electric Vehicle Symposium, EVS 28 - Goyang, Korea, Republic of Duur: 3 mei 2015 → 6 mei 2015

Conference

Conference	Electric Vehicle Symposium, EVS 28
Land/Regio	Korea, Republic of
Stad	Goyang
Periode	3/05/15 → 6/05/15

Citeer dit

@inproceedings{f3abbdda831643acac6df450fbd30f7a,

title = "Optimization of Li-Ion batteries through modelling techniques",

abstract = "Battery performance and lifetime constitute a bottleneck for electric vehicles and stationary electric energy storage systems to penetrate the market. Electrochemical or physics based battery models are one of the engineering tools to enhance their performance. These models should enable us to optimize the cell design and the battery management system. In this study we evaluate the ability of the much used Porous Electrode Model (PEM) to predict the effect of changing cathode density in the overall performance of a Li-Ion cell. We conclude that the PEM is well capable of predicting battery discharge capacities for cells with changing cathode density.",

keywords = "Li-Ion battery, Physics based model, Porous Electrode Model, Battery design",

author = "Jelle Smekens and {Van Mierlo}, Joeri and Noshin Omar and Annick Hubin and {Van Den Bossche}, Peter",

year = "2015",

month = may,

language = "English",

booktitle = "The 28th International Electric Vehicle Symposium and Exhibition",

publisher = "IEEE",

note = "Electric Vehicle Symposium, EVS 28 ; Conference date: 03-05-2015 Through 06-05-2015",

}

TY - GEN

T1 - Optimization of Li-Ion batteries through modelling techniques

AU - Smekens, Jelle

AU - Van Mierlo, Joeri

AU - Omar, Noshin

AU - Hubin, Annick

AU - Van Den Bossche, Peter

PY - 2015/5

Y1 - 2015/5

N2 - Battery performance and lifetime constitute a bottleneck for electric vehicles and stationary electric energy storage systems to penetrate the market. Electrochemical or physics based battery models are one of the engineering tools to enhance their performance. These models should enable us to optimize the cell design and the battery management system. In this study we evaluate the ability of the much used Porous Electrode Model (PEM) to predict the effect of changing cathode density in the overall performance of a Li-Ion cell. We conclude that the PEM is well capable of predicting battery discharge capacities for cells with changing cathode density.

AB - Battery performance and lifetime constitute a bottleneck for electric vehicles and stationary electric energy storage systems to penetrate the market. Electrochemical or physics based battery models are one of the engineering tools to enhance their performance. These models should enable us to optimize the cell design and the battery management system. In this study we evaluate the ability of the much used Porous Electrode Model (PEM) to predict the effect of changing cathode density in the overall performance of a Li-Ion cell. We conclude that the PEM is well capable of predicting battery discharge capacities for cells with changing cathode density.

KW - Li-Ion battery

KW - Physics based model

KW - Porous Electrode Model

KW - Battery design

M3 - Conference paper

BT - The 28th International Electric Vehicle Symposium and Exhibition

PB - IEEE

T2 - Electric Vehicle Symposium, EVS 28

Y2 - 3 May 2015 through 6 May 2015

ER -

Optimization of Li-Ion batteries through modelling techniques

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Conference

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