Journal of Engineering and Applied Sciences

Year: 2019
Volume: 14
Issue: 4
Page No. 1267 - 1273

“Parameter Identification of a Lithium-Ion Battery Model Using Levenberg-Marquardt Algorithm”

Authors : El Mehdi Laadissi, El Filali Anas, Malika Zazi and Khalfi Jaouad

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, 2019. “Parameter Identification of a Lithium-Ion Battery Model Using Levenberg-Marquardt Algorithm”. Journal of Engineering and Applied Sciences, 14: 1267-1273.

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