Improving the state of charge estimation of reused lithium-ion batteries by abating hysteresis using machine learning technique

Research article (Journal of Energy Storage, 2020) · cited 84× · AI/ML
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Improving the state of charge estimation of reused lithium-ion batteries by abating hysteresis using machine learning technique

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Improving the state of charge estimation of reused lithium-ion batteries by abating hysteresis using machine learning technique is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Improving the state of charge estimation of reused lithium-ion batteries by abating hysteresis using machine learning technique. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-the-state-of-charge-estimation-of-reused-lithium-ion-batteries-by-abating-hysteresis-using-machine-learning-te
MLA “Improving the state of charge estimation of reused lithium-ion batteries by abating hysteresis using machine learning technique.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improving-the-state-of-charge-estimation-of-reused-lithium-ion-batteries-by-abating-hysteresis-using-machine-learning-te.
BibTeX @misc{4ortxyz_improving-the-state-of-charge-estimation-of-reused-lithium-ion-batteries-by-abating-hysteresis-using-machine-learning-te_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improving the state of charge estimation of reused lithium-ion batteries by abating hysteresis using machine learning technique}}, year = {2026}, url = {https://4ort.xyz/entity/improving-the-state-of-charge-estimation-of-reused-lithium-ion-batteries-by-abating-hysteresis-using-machine-learning-te}, note = {Accessed: 2026-05-24}}
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