The optimization of state of charge and state of health estimation for lithium‐ions battery using combined deep learning and Kalman filter methods

Research article (International Journal of Energy Research, 2021) · cited 29× · AI/ML
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The optimization of state of charge and state of health estimation for lithium‐ions battery using combined deep learning and Kalman filter methods

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The optimization of state of charge and state of health estimation for lithium‐ions battery using combined deep learning and Kalman filter methods is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). The optimization of state of charge and state of health estimation for lithium‐ions battery using combined deep learning and Kalman filter methods. Retrieved May 24, 2026, from https://4ort.xyz/entity/the-optimization-of-state-of-charge-and-state-of-health-estimation-for-lithiumions-battery-using-combined-deep-learning-
MLA “The optimization of state of charge and state of health estimation for lithium‐ions battery using combined deep learning and Kalman filter methods.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/the-optimization-of-state-of-charge-and-state-of-health-estimation-for-lithiumions-battery-using-combined-deep-learning-.
BibTeX @misc{4ortxyz_the-optimization-of-state-of-charge-and-state-of-health-estimation-for-lithiumions-battery-using-combined-deep-learning-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{The optimization of state of charge and state of health estimation for lithium‐ions battery using combined deep learning and Kalman filter methods}}, year = {2026}, url = {https://4ort.xyz/entity/the-optimization-of-state-of-charge-and-state-of-health-estimation-for-lithiumions-battery-using-combined-deep-learning-}, note = {Accessed: 2026-05-24}}
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