0000000000589900

AUTHOR

Moemen Daboussy

showing 2 related works from this author

Characterisation of a commercial automotive lithium ion battery using extended Kalman filter

2013

This paper presents a extented Kalman filter based on a dynamic model of a commercial lithium ion battery pack in automotive applications, and experimental data are collected using the Noao. This vehicle is an electric track with range extender, which has been developed and produced by the association Pole de Performance de Nevers Magny-Cours (PPNMC). This model has been developed with MATLAB/Simulink to investigate the output characteristics of lithium-ion batteries. It incorporates I-V performance of the battery, battery capacity fading, temperature effect on battery performance, and the battery temperature rise. This estimation technique is used in order to estimate some parameters, whic…

Battery (electricity)Engineeringbusiness.industryTestbedAutomotive industryKalman filterAutomotive engineeringLithium-ion batteryExtended Kalman filterElectronic engineeringComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMSHybrid vehicleMATLABbusinesscomputercomputer.programming_language2013 IEEE Transportation Electrification Conference and Expo (ITEC)
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Parameter identification and state estimation of a microalgae dynamical model in sulphur deprived conditions: Global sensitivity analysis, optimizati…

2014

International audience; In this article, a dynamic model describing the growth of the green microalgae Chlamydomonas reinhardtii , under light attenuation and sulphur‐deprived conditions leading to hydrogen production in a photobioreactor is presented. The strong interactions between biological and physical phenomena require complex mathematical expressions with an important number of parameters. This article presents a global identification procedure in three steps using data from batch experiments. First, it includes the application of a sensitivity function analysis, which allows one to determine the parameters having the greatest influence on model outputs. Secondly, the most influentia…

0106 biological sciencesEngineeringObserver (quantum physics)business.industryGeneral Chemical Engineering05 social sciencesExperimental dataPhotobioreactorFunction (mathematics)01 natural sciences7. Clean energy[SPI]Engineering Sciences [physics]Extended Kalman filterSoftware010608 biotechnology0502 economics and business[INFO]Computer Science [cs]Stage (hydrology)Gas composition050207 economicsBiological systembusinessSimulationThe Canadian Journal of Chemical Engineering
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