TY  - JOUR
T1  - “Parameter Identification of a Lithium-Ion Battery Model Using
Levenberg-Marquardt Algorithm”
AU - Laadissi, El Mehdi AU - Anas, El Filali AU - Zazi, Malika AU - Jaouad, Khalfi 
JO  - Journal of Engineering and Applied Sciences
VL  - 14
IS  - 4
SP  - 1267
EP  - 1273
PY  - 2019
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2019.1267.1273
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2019.1267.1273
KW  - Lithium-ion battery
KW  -battery modelling
KW  -parameter identification
KW  -Levenberg-Marquardt
KW  -simscape
KW  -model
AB  - 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.
ER  -