Abstract
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.
| Original language | English |
|---|---|
| Article number | 117653 |
| Journal | Journal of Energy Storage |
| Volume | 132 |
| DOIs | |
| State | Published - 10 Oct 2025 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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SDG 12 Responsible Consumption and Production
Keywords
- Aging-aware control
- Battery degradation
- Battery modeling
- Control methods
- Li-ion batteries
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