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Journal of Engineering and Applied Sciences

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