Enhanced state of health estimation of lithium-ion batteries through advanced feature selection and self-developed datasets

Research article (Journal of Energy Storage, 2025) · cited 17× · AI/ML
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Enhanced state of health estimation of lithium-ion batteries through advanced feature selection and self-developed datasets

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Enhanced state of health estimation of lithium-ion batteries through advanced feature selection and self-developed datasets is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Enhanced state of health estimation of lithium-ion batteries through advanced feature selection and self-developed datasets. Retrieved May 24, 2026, from https://4ort.xyz/entity/enhanced-state-of-health-estimation-of-lithium-ion-batteries-through-advanced-feature-selection-and-self-developed-datas
MLA “Enhanced state of health estimation of lithium-ion batteries through advanced feature selection and self-developed datasets.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/enhanced-state-of-health-estimation-of-lithium-ion-batteries-through-advanced-feature-selection-and-self-developed-datas.
BibTeX @misc{4ortxyz_enhanced-state-of-health-estimation-of-lithium-ion-batteries-through-advanced-feature-selection-and-self-developed-datas_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Enhanced state of health estimation of lithium-ion batteries through advanced feature selection and self-developed datasets}}, year = {2026}, url = {https://4ort.xyz/entity/enhanced-state-of-health-estimation-of-lithium-ion-batteries-through-advanced-feature-selection-and-self-developed-datas}, note = {Accessed: 2026-05-24}}
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