TY - JOUR
T1 - The need for aging-aware control methods in lithium-ion batteries
T2 - A review
AU - Vega–Garita, Victor
AU - Heydarzadeh, Mohsen
AU - Dadash, Amirhossein Hosseinzadeh
AU - Immonen, Eero
N1 - Publisher Copyright:
© 2025 The Authors
PY - 2025/10/10
Y1 - 2025/10/10
N2 - Lithium-ion batteries are among the most expensive and environmentally impactful components in energy storage solutions. Maximizing their lifetime is critical to reducing their environmental footprint and economic cost. To achieve this, battery management systems must accurately assess the state of health of the battery and dynamically adjust operating conditions to mitigate degradation. This review examines existing studies on aging-aware control methods for Li-ion batteries, categorizing their approaches, comparing their effectiveness, and identifying key research gaps. A conceptual framework for an online aging-aware control system is proposed, serving as a reference for future research. This work underscores the importance of developing robust control methods that address the degradation challenges while advancing the sustainability and performance of Li-ion battery technologies.
AB - Lithium-ion batteries are among the most expensive and environmentally impactful components in energy storage solutions. Maximizing their lifetime is critical to reducing their environmental footprint and economic cost. To achieve this, battery management systems must accurately assess the state of health of the battery and dynamically adjust operating conditions to mitigate degradation. This review examines existing studies on aging-aware control methods for Li-ion batteries, categorizing their approaches, comparing their effectiveness, and identifying key research gaps. A conceptual framework for an online aging-aware control system is proposed, serving as a reference for future research. This work underscores the importance of developing robust control methods that address the degradation challenges while advancing the sustainability and performance of Li-ion battery technologies.
KW - Aging-aware control
KW - Battery degradation
KW - Battery modeling
KW - Control methods
KW - Li-ion batteries
UR - https://www.scopus.com/pages/publications/105011244206
U2 - 10.1016/j.est.2025.117653
DO - 10.1016/j.est.2025.117653
M3 - Artículo de revisión
AN - SCOPUS:105011244206
SN - 2352-152X
VL - 132
JO - Journal of Energy Storage
JF - Journal of Energy Storage
M1 - 117653
ER -