Lithium-ion Battery Aging Prediction with Electrochemical Models: P2D vs SPMe

  1. Lopetegi, Iker 2
  2. Plett, Gregory L. 1
  3. Trimboli, M. Scott 1
  4. Yeregui, Josu 2
  5. Oca, Laura 2
  6. Rojas, Clara 2
  7. Miguel, Eduardo 3
  8. Iraola, Unai 2
  1. 1 University of Colorado,Department of Electrical and Computer Engineering,Colorado Springs,CO,USA,80918
  2. 2 Mondragon Unibertsitatea, Faculty of Engineering, Electronic and Computing Department, Gipuzkoa, Spain, 20500
  3. 3 Basque Research and Technology Alliance (BRTA),Electrical Energy Storage, Ikerlan Technology Research Centre, Arrasate/Mondragon, Spain
Actas:
2023 IEEE Vehicle Power and Propulsion Conference (VPPC)

Año de publicación: 2023

Tipo: Aportación congreso

DOI: 10.1109/VPPC60535.2023.10403316 GOOGLE SCHOLAR lock_openAcceso abierto editor

Objetivos de desarrollo sostenible

Información de financiación

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Referencias bibliográficas

  • 10.1039/D1CP00359C
  • 10.1109/ACCESS.2021.3095620
  • 10.1109/ITEC.2018.8450187
  • 10.1016/j.jpowsour.2017.05.110
  • 10.1016/j.jpowsour.2020.229026
  • 10.1149/1.2221597
  • Plett, (2015), Battery Management Systems, Volume 1: Battery Modeling, 1
  • 10.1016/j.jpowsour.2018.05.073
  • 10.1039/D2CP00417H
  • 10.1149/1.2129269
  • 10.1149/2.0281914jes
  • 10.1149/2.0341915jes
  • 10.1016/j.apm.2022.12.009
  • 10.1002/cssc.201800077
  • 10.1149/1.1392512
  • 10.1149/2.0661810jes
  • 10.1016/j.jpowsour.2018.12.084
  • 10.1149/1945-7111/ab90ac
  • 10.1149/1.2759840
  • 10.1149/2.049210jes
  • 10.1016/j.jpowsour.2015.09.033
  • 10.1149/1945-7111/ac6d13
  • 10.1016/j.electacta.2021.138287
  • 10.1149/2.058112jes
  • 10.1016/j.jpowsour.2015.07.019
  • 10.1137/s1064827594276424