Gaussian Process Regression based State of Health Estimation of Lithium-Ion Batteries using Indirect Battery Health Indicators
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/9486427/9486436/09486519.pdf?arnumber=9486519
Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. State of Health (SoH) estimation methods for second life lithium-ion battery—Review and challenges;Applied Energy;2024-09
2. State-of-Health Estimation of Li-ion Batteries using Multiple Linear Regression and Optimized Feature Extraction based on Principal Component Analysis;2024 IEEE International Conference on Prognostics and Health Management (ICPHM);2024-06-17
3. Improved Deep Extreme Learning Machine for State of Health Estimation of Lithium-Ion Battery;International Journal of Energy Research;2024-05-18
4. Comparative Analysis of State of Health Estimation Methods for Lithium-ion Batteries and Compensation Strategies on Different Discharge Rates;2024 IEEE 10th International Power Electronics and Motion Control Conference (IPEMC2024-ECCE Asia);2024-05-17
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