Battery state of charge and state of health estimation for VRLA batteries using Kalman filter and neural networks

Research article (2018 5th International Conference on Electrical and Electronic Engineering (ICEEE), 2018) · cited 11× · AI/ML
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Battery state of charge and state of health estimation for VRLA batteries using Kalman filter and neural networks

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Battery state of charge and state of health estimation for VRLA batteries using Kalman filter and neural networks is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Battery state of charge and state of health estimation for VRLA batteries using Kalman filter and neural networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/battery-state-of-charge-and-state-of-health-estimation-for-vrla-batteries-using-kalman-filter-and-neural-networks
MLA “Battery state of charge and state of health estimation for VRLA batteries using Kalman filter and neural networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/battery-state-of-charge-and-state-of-health-estimation-for-vrla-batteries-using-kalman-filter-and-neural-networks.
BibTeX @misc{4ortxyz_battery-state-of-charge-and-state-of-health-estimation-for-vrla-batteries-using-kalman-filter-and-neural-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Battery state of charge and state of health estimation for VRLA batteries using Kalman filter and neural networks}}, year = {2026}, url = {https://4ort.xyz/entity/battery-state-of-charge-and-state-of-health-estimation-for-vrla-batteries-using-kalman-filter-and-neural-networks}, note = {Accessed: 2026-05-24}}
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