Standard

Harvard

Nikolian, A, De Hoog, J, Fleurbaey, K, Timmermans, J-M, Omar, N, Van Den Bossche, P & Van Mierlo, J 2014, Classification of Electric modeling and Characterization methods of Lithium-ion Batteries for Vehicle Applications. in European Electric Vehicle Congress. European Electric Vehicle Congress, European Electric Vehicle Congress 2014, Brussels, Belgium, 2/12/14.

APA

Vancouver

Author

BibTeX

@inproceedings{65fc98e9403b41ae8fb7979036783940,
title = "Classification of Electric modeling and Characterization methods of Lithium-ion Batteries for Vehicle Applications",
abstract = "In this paper an extensive overview of different state-of-the arts models, created to simulate the behavior of lithium ion batteries, will be presented. A new classification of different types of models is proposed, which includes models ranging from electrochemical, electrical, thermal and mechanical models. A new classification system, depending on the method the inputs are related to the outputs (i.e. empirical, semi-empirical and physical modeling) is used to distinguish between the large varieties of available models and to classify these models in a structured way. Further, a distinction is made based on the timescale of the modeling. In this way, it is clear if the model in casu is suitable to give information on the short-term behavior or on the long-term behavior of the battery. Finally, the different electrical models, suitable for lithium ion batteries, will be analyzed and compared with special attention to the performance of the different models for simulating the dynamic behavior of the batteries.",
keywords = "Lithium-ion, Batteries, Equivalent Circuit Models, Characterization Techniques, Battery Simulation, Testing Standards",
author = "Alexandros Nikolian and {De Hoog}, Joris and Karel Fleurbaey and Jean-Marc Timmermans and Noshin Omar and {Van Den Bossche}, Peter and {Van Mierlo}, Joeri",
year = "2014",
month = "7",
day = "20",
language = "English",
booktitle = "European Electric Vehicle Congress",
publisher = "European Electric Vehicle Congress",

}

RIS

TY - GEN

T1 - Classification of Electric modeling and Characterization methods of Lithium-ion Batteries for Vehicle Applications

AU - Nikolian, Alexandros

AU - De Hoog, Joris

AU - Fleurbaey, Karel

AU - Timmermans, Jean-Marc

AU - Omar, Noshin

AU - Van Den Bossche, Peter

AU - Van Mierlo, Joeri

PY - 2014/7/20

Y1 - 2014/7/20

N2 - In this paper an extensive overview of different state-of-the arts models, created to simulate the behavior of lithium ion batteries, will be presented. A new classification of different types of models is proposed, which includes models ranging from electrochemical, electrical, thermal and mechanical models. A new classification system, depending on the method the inputs are related to the outputs (i.e. empirical, semi-empirical and physical modeling) is used to distinguish between the large varieties of available models and to classify these models in a structured way. Further, a distinction is made based on the timescale of the modeling. In this way, it is clear if the model in casu is suitable to give information on the short-term behavior or on the long-term behavior of the battery. Finally, the different electrical models, suitable for lithium ion batteries, will be analyzed and compared with special attention to the performance of the different models for simulating the dynamic behavior of the batteries.

AB - In this paper an extensive overview of different state-of-the arts models, created to simulate the behavior of lithium ion batteries, will be presented. A new classification of different types of models is proposed, which includes models ranging from electrochemical, electrical, thermal and mechanical models. A new classification system, depending on the method the inputs are related to the outputs (i.e. empirical, semi-empirical and physical modeling) is used to distinguish between the large varieties of available models and to classify these models in a structured way. Further, a distinction is made based on the timescale of the modeling. In this way, it is clear if the model in casu is suitable to give information on the short-term behavior or on the long-term behavior of the battery. Finally, the different electrical models, suitable for lithium ion batteries, will be analyzed and compared with special attention to the performance of the different models for simulating the dynamic behavior of the batteries.

KW - Lithium-ion

KW - Batteries

KW - Equivalent Circuit Models

KW - Characterization Techniques

KW - Battery Simulation

KW - Testing Standards

M3 - Conference paper

BT - European Electric Vehicle Congress

PB - European Electric Vehicle Congress

ER -

ID: 2450611