Characterization of Lithium-ion batteries usage in electric and hybrid electric vehicles applications.
type: Dataset
description: Lithium-ion batteries are being used as energy storage systems in recent electric and hybrid elec-tric vehicles coming to market. Current cycle-life estimation techniques show evidence of discre-pancy between laboratory results and real-world results. This work is aimed at characterizing actual battery usage in electrified transportation applica-tions. Factors such as temperature, State Of Charge, Depth Of Discharge, current and voltage have to be carefully considered for accurate cycle-life prediction within a given application. Five electri-fied vehicles have been studied (two electric bicycles, one light EV, one mainstream HEV and one Heavy-Duty trolleybus). These vehicles have been equipped with sensors and data-logger and then test-driven on open roads under real-world conditions. Large amounts of data have been stored and later processed through an innovative method for analysis of actual usage. This method relies on data mining based on K-means clustering and synthetic duty cycle generation based on Markov chain modeling. Resulting synthetic cycles exhibit features similar to those observed on the large original datasets. This enables accurate prediction of cycle-life through realistic ageing trials of Lithium-ion batteries. Several experimental results are presented in order to assess the fitness of this method.
landing page: https://theses.hal.science/tel-00783338
keyword: ageing
keyword: analyse-de-lusage
keyword: batteries-lithium-ion
keyword: chaine-de-markov
keyword: classification
keyword: cycle-life
keyword: cycle-synthetique
keyword: data-clustering
keyword: duree-de-vie
keyword: duty-profile
keyword: duty-pulse
keyword: ev
keyword: hev
keyword: impulsion-de-courant
keyword: infoeu-reposemanticsdoctoralthesis
keyword: k-means
keyword: lithium-ion-batteries
keyword: markov-chain
keyword: partitionnement
keyword: spinrjengineering-sciences-physicselectric-power
keyword: statapstatistics-statapplications-statap
keyword: synthetic-cycle
keyword: theses
keyword: usage-analysis
keyword: vehicule-electrique
keyword: vehicule-hybride
keyword: vieillissement
issued: 2026-05-14T18:56:35.433966
modified: 2026-05-14T18:56:35.433971
language: fr
contact point: Organization
  fn: CCSD

test_moissonnage_selune
type: Agent

Characterization of Lithium-ion batteries usage in electric and hybrid electric vehicles applications.
type: Distribution
format: HTML
access URL: https://theses.hal.science/tel-00783338
issued: 2026-05-14T18:56:35.548344
modified: 2026-05-14T18:56:35.385519