State of charge estimation for Li-ion battery during dynamic driving process based on dual-channel deep learning methods and conditional judgement

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State of charge estimation for Li-ion battery during dynamic driving process based on dual-channel deep learning methods and conditional judgement

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State of charge estimation for Li-ion battery during dynamic driving process based on dual-channel deep learning methods and conditional judgement is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). State of charge estimation for Li-ion battery during dynamic driving process based on dual-channel deep learning methods and conditional judgement. Retrieved May 24, 2026, from https://4ort.xyz/entity/state-of-charge-estimation-for-li-ion-battery-during-dynamic-driving-process-based-on-dual-channel-deep-learning-methods
MLA “State of charge estimation for Li-ion battery during dynamic driving process based on dual-channel deep learning methods and conditional judgement.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/state-of-charge-estimation-for-li-ion-battery-during-dynamic-driving-process-based-on-dual-channel-deep-learning-methods.
BibTeX @misc{4ortxyz_state-of-charge-estimation-for-li-ion-battery-during-dynamic-driving-process-based-on-dual-channel-deep-learning-methods_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{State of charge estimation for Li-ion battery during dynamic driving process based on dual-channel deep learning methods and conditional judgement}}, year = {2026}, url = {https://4ort.xyz/entity/state-of-charge-estimation-for-li-ion-battery-during-dynamic-driving-process-based-on-dual-channel-deep-learning-methods}, note = {Accessed: 2026-05-24}}
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