Design and control strategy of powertrain in hybrid electric vehicles
type: Dataset
description: Hybrid electric vehicle have known a quickly grow in the last 10 years.Between conventional vehicles which are criticized for their CO2 emissionand electric vehicles which have a big issue about autonomy, hybrid electricones seems to be a good trade of. No standard has been set yet, and the architecturesresulting of theses productions vary between brands. Nevertheless,all of them are design as a thermal vehicle with battery added which leadsto bad sizing of the component, specially internal combustion engine andbattery capacity. Consequently, the control strategy applied to its componentshas a lot of constraints and cannot be optimal.This thesis investigate a new methodology to design and control a hybridelectric vehicle. Based on statistical description of driving cycle and the generationof random cycle, a new way of sizing component is presented. Thecontrol associate is then determined and apply for different scenarios : firstlya heavy vehicle : A truck and then a lightweight vehicle. An offline controlbased on the optimization of the power split via a dynamic programmingalgorithm is presented to get the optimal results for a given driving cycle.A real time control strategy is then define with its optimization for a givenpatterns and compared to the offline results. Finally, a new control of plug inhybrid electric vehicle based on destination predictions is presented.
landing page: https://theses.hal.science/tel-00863541
identifier: NNT: 2012BELF0192
keyword: algorithme-genetique
keyword: chaine-de-traction-hybride
keyword: control-strategy
keyword: dynamic-programming
keyword: fuel-cell
keyword: genetic-algorithm
keyword: gestion-de-lenergie
keyword: hybrid-electric-powertrain
keyword: hybrid-electric-vehicle
keyword: infoeu-reposemanticsdoctoralthesis
keyword: physcondcm-genphysics-physicscondensed-matter-cond-matother-cond-matother
keyword: pile-a-combustible
keyword: programmation-dynamique
keyword: theses
keyword: vehicules-hybrides-electriques
issued: 2026-05-09T16:50:32.184356
modified: 2026-05-09T16:50:32.184361
language: en
contact point: Organization
  fn: CCSD

test_moissonnage_selune
type: Agent

Design and control strategy of powertrain in hybrid electric vehicles
type: Distribution
format: HTML
access URL: https://theses.hal.science/tel-00863541
issued: 2026-05-09T16:50:32.193709
modified: 2026-05-09T16:50:32.168446