Optimization of energy flows in an electric vehicle

This work addresses the management of electrical energy flows within the embedded network of anelectric vehicle. The electrical system components were first modeled for purposes of control synthesisand simulation. It is aimed the minimization of lead-acid batteries stress via hybridization withultracapacitors. Two families of control laws have been conceived and developed, namely afrequency-domain-based law and an optimal Linear Quadratic Gaussian law. A real-time hybrid testbench has been built in order to test these laws. This test bench has two core real-time simulators (RTLABand dSPACE). A part of the power chain has been either emulated by using suitably-controlledsources or realized by using small-scale real hardware with the similarity factor being respected. estson the testbed have yielded satisfactory and encouraging results that corroborate the theory.

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Source https://theses.hal.science/tel-00798937
Author Florescu, Adrian
Maintainer CCSD
Last Updated May 11, 2026, 03:23 (UTC)
Created May 11, 2026, 03:23 (UTC)
Identifier NNT: 2012GRENT078
Language fr
Rights https://about.hal.science/hal-authorisation-v1/
contributor Laboratoire de Génie Electrique de Grenoble (G2ELab) ; Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)
creator Florescu, Adrian
date 2012-11-19T00:00:00
harvest_object_id 9c0874ef-b92a-43af-9b1b-40de5d4e181d
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2026-03-31T00:00:00
set_spec type:THESE