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

Información de financiación

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

Financiadores

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