Journal of Engineering and Applied Sciences
ISSN: Online 1818-7803ISSN: Print 1816-949x
Abstract
Now a days, lithium-ion batteries are the most used to power electronic devices and electric vehicles. Lithium-based electrochemical accumulators have better energy density and reliability than any other energy storage method. To use a battery effectively, it is necessary to understand its operation, its dynamics and to know the parameters that can affect its performance. In this study, we propose a model of a lithium-ion battery, the parameters of this model are identified by a Levenberg-Marquardt nonlinear algorithm. The parameter output is a lookup-table of element values that depends on the state of charge of the battery. A pulses discharge test is performed on a commercial 16 Ah lithium-ion battery in order to identify the parameters and validate the model, results are presented and validated.
How to cite this article:
El Mehdi Laadissi, El Filali Anas, Malika Zazi and Khalfi Jaouad. “Parameter Identification of a Lithium-Ion Battery Model Using
Levenberg-Marquardt Algorithm”.
DOI: https://doi.org/10.36478/jeasci.2019.1267.1273
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2019.1267.1273