El Mehdi  Laadissi, El Filali  Anas, Malika  Zazi, Khalfi  Jaouad, 
    “Parameter Identification of a Lithium-Ion Battery Model Using
Levenberg-Marquardt Algorithm”,
    Journal of Engineering and Applied Sciences,
    Volume 14,Issue 4,
    2019,
    Pages 1267-1273,
    ISSN 1816-949x,
    jeasci.2019.1267.1273,
    (https://makhillpublications.co/view-article.php?doi=jeasci.2019.1267.1273)
    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.
    Keywords: Lithium-ion battery;battery modelling;parameter identification;Levenberg-Marquardt;simscape;model