A state-of-health and end-of-life prediction framework for lithium-ion batteries

Key Points

• The prediction framework effectively estimates the health and end-of-life stages of lithium-ion batteries.
• It incorporates battery degradation metrics and predictive modeling for accurate assessments.
• Analysis emphasizes the importance of timely predictions to enhance battery efficiency and reduce waste.
• This model may enable better management of battery systems in various applications, optimizing resource utilization.