Enhancing electric vehicle battery lifespan: integrating active balancing and machine learning for precise RUL estimation
2025
Improving Electric Vehicle Battery Lifespan with Active Balancing and Machine Learning
publication
10 minutes
Evidence: high
Author Information
Author(s): Sultan Yara A., Eladl Abdelfattah A., Hassan Mohamed A., Gamel Samah A.
Primary Institution: Horus University-Egypt
Hypothesis
Can integrating active balancing and machine learning improve the lifespan and performance of electric vehicle batteries?
Conclusion
The study demonstrates that active cell balancing combined with machine learning significantly enhances battery lifespan and performance.
Supporting Evidence
- Active balancing reduces state of charge disparities among battery cells.
- Machine learning models accurately predict the remaining useful life of batteries.
- Integrating active balancing with RUL predictions enhances battery management.
- Experimental results show significant improvements in battery performance.
- Using k-nearest neighbors and random forest models achieved high accuracy in predictions.
Takeaway
This study shows that by balancing the charge in battery cells and using smart computer programs, we can make electric car batteries last longer and work better.
Methodology
The study utilized experimental methods to test active cell balancing techniques and machine learning models for predicting battery lifespan.
Digital Object Identifier (DOI)
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