TY - JOUR
T1 - A Comprehensive Review on the Characteristics and Modeling of Lithium-Ion Battery Aging
AU - Vermeer, Wiljan
AU - Mouli, Gautham Ram Chandra
AU - Bauer, Pavol
PY - 2022
Y1 - 2022
N2 - Battery aging is one of the critical problems to be tackled in battery research, as it limits the power and energy capacity during the battery's life. Therefore, optimizing the design of battery systems requires a good understanding of aging behavior. Due to their simplicity, empirical and semiempirical models (EMs) are frequently used in smart charging studies, feasibility studies, and cost analyses studies, among other uses. Unfortunately, these models are prone to significant estimation errors without appropriate knowledge of their inherent limitations and the interdependence between stress factors. This article presents a review of empirical and semiempirical modeling techniques and aging studies, focusing on the trends observed between different studies and highlighting the limitations and challenges of the various models. First, we summarize the main aging mechanisms in lithium-ion batteries. Next, empirical modeling techniques are reviewed, followed by the current challenges and future trends, and a conclusion. Our results indicate that the effect of stress factors is easily oversimplified, and their correlations are often not taken into account. The provided knowledge in this article can be used to evaluate the limitations of aging models and improve their accuracy for various applications.
AB - Battery aging is one of the critical problems to be tackled in battery research, as it limits the power and energy capacity during the battery's life. Therefore, optimizing the design of battery systems requires a good understanding of aging behavior. Due to their simplicity, empirical and semiempirical models (EMs) are frequently used in smart charging studies, feasibility studies, and cost analyses studies, among other uses. Unfortunately, these models are prone to significant estimation errors without appropriate knowledge of their inherent limitations and the interdependence between stress factors. This article presents a review of empirical and semiempirical modeling techniques and aging studies, focusing on the trends observed between different studies and highlighting the limitations and challenges of the various models. First, we summarize the main aging mechanisms in lithium-ion batteries. Next, empirical modeling techniques are reviewed, followed by the current challenges and future trends, and a conclusion. Our results indicate that the effect of stress factors is easily oversimplified, and their correlations are often not taken into account. The provided knowledge in this article can be used to evaluate the limitations of aging models and improve their accuracy for various applications.
KW - Lithium
KW - battery
KW - degradation
KW - ageing
KW - modelling
UR - http://www.scopus.com/inward/record.url?scp=85122090196&partnerID=8YFLogxK
U2 - 10.1109/TTE.2021.3138357
DO - 10.1109/TTE.2021.3138357
M3 - Article
AN - SCOPUS:85122090196
SN - 2332-7782
VL - 8
SP - 2205
EP - 2232
JO - IEEE Transactions on Transportation Electrification
JF - IEEE Transactions on Transportation Electrification
IS - 2
M1 - 9662298
ER -