User profiles for El Mehdi Laadissi
EL Mehdi LAADISSIProfessor at Chouaib Doukkali University Verified email at um5s.net.ma Cited by 253 |
Box–Jenkins black-box modeling of a lithium-ion battery cell based on automotive drive cycle data
…, N Boumaaz, A Soulmani, EM Laadissi - World Electric Vehicle …, 2021 - mdpi.com
The Box–Jenkins model is a polynomial model that uses transfer functions to express
relationships between input, output, and noise for a given system. In this article, we present a Box–…
relationships between input, output, and noise for a given system. In this article, we present a Box–…
Extraction and physicochemical characterization of an environmentally friendly biopolymer: chitosan for composite matrix application
…, MA Ben Achour, A Rjafallah, EM Laadissi… - Journal of Composites …, 2023 - mdpi.com
Chitosan, which is a derivative of chitin, is particularly popular due to its biodegradable and
renewable nature. However, the properties of chitosan can be inconsistent due to the …
renewable nature. However, the properties of chitosan can be inconsistent due to the …
Deep learning and data augmentation for robust battery state of charge estimation in electric vehicles
Accurate state of charge (SOC) estimation is critical for the effective management of lithium-ion
batteries in electric vehicles (EVs). However, traditional SOC estimation techniques, …
batteries in electric vehicles (EVs). However, traditional SOC estimation techniques, …
Nonlinear modeling of lithium-ion battery cells for electric vehicles using a hammerstein–wiener model
…, N Boumaaz, A Soulmani, EM Laadissi - Journal of Electrical …, 2021 - Springer
Lithium-ion batteries are a popular electrical storage choice for electric vehicles. This is
motivated by their many advantages, such as their high energy density and cycling performance. …
motivated by their many advantages, such as their high energy density and cycling performance. …
Piezoelectric and Electromechanical Characteristics of Porous Poly(Ethylene-co-Vinyl Acetate) Copolymer Films for Smart Sensors and Mechanical Energy …
…, E Sabani, A Rjafallah, I Najihi, EM Laadissi… - Applied System …, 2021 - mdpi.com
This paper investigates energy harvesting performances of porous piezoelectric polymer
films to collect electrical energy from vibrations and power various sensors. The influence of …
films to collect electrical energy from vibrations and power various sensors. The influence of …
[PDF][PDF] Aging study of a lead-acid storage bank in a multi-source hybrid system
JK El Mehdi Laadissi, F Belhora… - Indones J Electr …, 2020 - pdfs.semanticscholar.org
… Aging study of a lead-acid storage bank in a multi-source hybrid system (El Mehdi Laadissi)
… Aging study of a lead-acid storage bank in a multi-source hybrid system (El Mehdi Laadissi) …
… Aging study of a lead-acid storage bank in a multi-source hybrid system (El Mehdi Laadissi) …
[PDF][PDF] A fast charge algorithm for Li-ion battery for electric vehicles
S Bouzaid, L El Mehdi, A El Ballouti - International Journal of …, 2024 - academia.edu
The renewable solar energy industry and electric vehicle industry are today seeking for fast
battery pack recharging methods to achieve higher performances, and fast energy recovery …
battery pack recharging methods to achieve higher performances, and fast energy recovery …
NARX Black-Box Modeling of a Lithium-Ion Battery Cell Based on Automotive Drive Cycles Measurements
In this work, we developed an accurate voltage estimation solution for Li-ion batteries using
the NARX model. The proposed estimator is based on experimental data that represents …
the NARX model. The proposed estimator is based on experimental data that represents …
Bearing Faults Diagnosis of a Turbogenerator System Using Machine Learning Training Functions.
…, H El Hadraoui, K Fakir, EM Laadissi… - Revue d' …, 2024 - search.ebscohost.com
Artificial Intelligence (AI) plays a crucial role in defect prediction within the context of Industry
4.0. By leveraging advanced machine learning algorithms, AI analyzes vast amounts of …
4.0. By leveraging advanced machine learning algorithms, AI analyzes vast amounts of …
[PDF][PDF] Lead-acid battery desulfation using a high-frequency pulse desulfator in standalone PV systems
A El Filali, JK El Mehdi Laadissi… - International Journal of …, 2024 - researchgate.net
The work presented in this article contributes to the study of a standalone photovoltaic (PV)
system with battery storage by creating an electronic board that allows for the recovery of the …
system with battery storage by creating an electronic board that allows for the recovery of the …