@article{MAKHILLJEAS201914417454,
    title = {“Parameter Identification of a Lithium-Ion Battery Model Using
Levenberg-Marquardt Algorithm”},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {14},
    number = {4},
    pages = {1267-1273},
    year = {2019},
    issn = {1816-949x},
    doi = {jeasci.2019.1267.1273},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2019.1267.1273},
    author = {El Mehdi,El Filali,Malika and},
    keywords = {Lithium-ion battery,battery modelling,parameter identification,Levenberg-Marquardt,simscape,model},
    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.}
    }