Lithium-ion Battery Aging Prediction with Electrochemical Models: P2D vs SPMe
- Lopetegi, Iker 2
- Plett, Gregory L. 1
- Trimboli, M. Scott 1
- Yeregui, Josu 2
- Oca, Laura 2
- Rojas, Clara 2
- Miguel, Eduardo 3
- Iraola, Unai 2
- 1 University of Colorado,Department of Electrical and Computer Engineering,Colorado Springs,CO,USA,80918
- 2 Mondragon Unibertsitatea, Faculty of Engineering, Electronic and Computing Department, Gipuzkoa, Spain, 20500
- 3 Basque Research and Technology Alliance (BRTA),Electrical Energy Storage, Ikerlan Technology Research Centre, Arrasate/Mondragon, Spain
Konferenzberichte:
2023 IEEE Vehicle Power and Propulsion Conference (VPPC)
Datum der Publikation: 2023
Art: Konferenz-Beitrag
Informationen zur Finanzierung
This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.Bibliographische Referenzen
- 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