Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Cataclysmic Mutation Genetic Algorithm and Support Vector Regression
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IEEE
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http://xplorestaging.ieee.org/ielx7/9362508/9362511/09362683.pdf?arnumber=9362683
Cited by 5 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. Performance of Adaptive Neuro-Fuzzy Inference System State-of-Charge Estimation of Lithium-Ion Batteries for Electric Ship;2023 8th International Conference on Computational Intelligence and Applications (ICCIA);2023-06-23
2. Voltage prognosis of PEMFC estimated using Multi-Reservoir Bidirectional Echo State Network;2022 10th International Conference on Systems and Control (ICSC);2022-11-23
3. Lithium-ion battery RUL prediction using ANN and comparison to alternative models;2022 IEEE North Karnataka Subsection Flagship International Conference (NKCon);2022-11-20
4. Jointly Estimation Method of the SOC and SOH of Lithium-ion Battery based on Fractional Order Multi-Innovation Dual Unscented Kalman Filter;IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society;2022-10-17
5. Online Hybrid Prognostic Health Management Prediction Using a Neural Network and Smooth Particle Filter for Lithium-ion Batteries;2022 57th International Universities Power Engineering Conference (UPEC);2022-08-30
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