Online Large Signal EIS To Predict The LFP Cell State of Health
Author:
Affiliation:
1. Aalen University
2. Advanced Mechatronics GmbH
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10087344/10088175/10088223.pdf?arnumber=10088223
Reference23 articles.
1. Review of adaptive systems for lithium batteries State-of-Charge and State-of-Health estimation
2. Calendar ageing analysis of a LiFePO4/graphite cell with dynamic model validations: Towards realistic lifetime predictions
3. Battery Pack Design, Validation, and Assembly Guide using A123 Systems Nanophosphate® Cells;christensen;A123 Systems LLC,0
4. Production caused variation in capacity aging trend and correlation to initial cell performance
5. State of Health Estimation of Lithium-Ion Batteries Using Capacity Fade and Internal Resistance Growth Models
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