Small-Sample-Learning-Based Lithium-Ion Batteries Health Assessment: An Optimized Ensemble Framework
Author:
Affiliation:
1. Department of Energy, Aalborg University, Aalborg, Denmark
2. Chair of Power Electronics, Kiel University, Kiel, Germany
Funder
SMART BATTERY
Villum Foundation in 2021
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/28/10535352/10384869.pdf?arnumber=10384869
Reference38 articles.
1. Internal combustion engine to electric vehicle retrofitting: Potential customer’s needs, public perception and business model implications
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3. Battery Lifetime Prognostics
4. A review of non-probabilistic machine learning-based state of health estimation techniques for Lithium-ion battery
5. State estimation for advanced battery management: Key challenges and future trends
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