TY - GEN
T1 - A Model for Electric Vehicle Battery Aging
T2 - 10th International Conference on Science, Technology and Innovation for Society, CITIS 2024
AU - González Garzón, Liliana
AU - Diaz-Londono, Cesar
AU - Vuelvas, José
AU - Gruosso, Giambattista
N1 - Publisher Copyright:
© The Author(s) 2025.
PY - 2025
Y1 - 2025
N2 - This study presents a comprehensive battery model for electric vehicles (EVs), designed to enhance the understanding and optimization of energy management systems. The model integrates the effects of calendar and cyclic aging, as well as the degradation impacts from Vehicle-to-Grid (V2G) interactions, essential for maintaining battery health and operational efficiency. Through comparative analysis with existing models, new insights into battery behavior under V2G conditions are highlighted. The findings are poised to significantly contribute to the development of sustainable mobility solutions by promoting enhanced battery longevity and performance. Key areas for future research are identified, and potential enhancements are proposed that could advance both practical applications and theoretical understanding in EV energy management. This model serves as a valuable tool for researchers focused on optimizing battery systems, enabling more effective energy strategies for electric vehicles. The study highlights the crucial role of advanced battery models in achieving efficient and sustainable operations of electric vehicles.
AB - This study presents a comprehensive battery model for electric vehicles (EVs), designed to enhance the understanding and optimization of energy management systems. The model integrates the effects of calendar and cyclic aging, as well as the degradation impacts from Vehicle-to-Grid (V2G) interactions, essential for maintaining battery health and operational efficiency. Through comparative analysis with existing models, new insights into battery behavior under V2G conditions are highlighted. The findings are poised to significantly contribute to the development of sustainable mobility solutions by promoting enhanced battery longevity and performance. Key areas for future research are identified, and potential enhancements are proposed that could advance both practical applications and theoretical understanding in EV energy management. This model serves as a valuable tool for researchers focused on optimizing battery systems, enabling more effective energy strategies for electric vehicles. The study highlights the crucial role of advanced battery models in achieving efficient and sustainable operations of electric vehicles.
KW - Battery aging
KW - Battery degradation
KW - Battery modeling
KW - Calendar aging
KW - Cycle aging
KW - Electric vehicles
UR - https://www.scopus.com/pages/publications/105004637300
U2 - 10.1007/978-3-031-87065-1_16
DO - 10.1007/978-3-031-87065-1_16
M3 - Conference contribution
AN - SCOPUS:105004637300
SN - 9783031870644
T3 - Lecture Notes in Networks and Systems
SP - 174
EP - 184
BT - Systems, Smart Technologies, and Innovation for Society - Proceedings of CITIS 2024
A2 - Inga Ortega, Esteban Mauricio
A2 - Robles-Bykbaev, Vladimir Espartaco
A2 - García Herranz, Nuria
A2 - Gallego Diaz, Eduardo
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 18 July 2024 through 19 July 2024
ER -