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    A Prediction Method Based on an Extended Temporal Fusion Transformer for the Cycle Life of Lithium-Ion Batteries

    Source: Journal of Energy Engineering:;2025:;Volume ( 151 ):;issue: 006::page 04025073-1
    Author:
    Gomez, William
    ,
    Wang, Fu-Kwun
    ,
    Chou, Jia-Hong
    DOI: 10.1061/JLEED9.EYENG-6267
    Publisher: American Society of Civil Engineers
    Abstract: AbstractEstimating the state of health and predicting the remaining useful life (RUL) of lithium-ion (Li-ion) batteries has become a prominent research area. Accurate prediction of online capacity decline trends and their RULs is critical to the continued ...
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      A Prediction Method Based on an Extended Temporal Fusion Transformer for the Cycle Life of Lithium-Ion Batteries

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4312010
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    contributor authorGomez, William
    contributor authorWang, Fu-Kwun
    contributor authorChou, Jia-Hong
    date accessioned2026-08-20T11:18:41Z
    date available2026-08-20T11:18:41Z
    date copyright2025/09/18
    date issued2025
    identifier otherJLEED9.EYENG-6267.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4312010
    description abstractAbstractEstimating the state of health and predicting the remaining useful life (RUL) of lithium-ion (Li-ion) batteries has become a prominent research area. Accurate prediction of online capacity decline trends and their RULs is critical to the continued ...
    publisherAmerican Society of Civil Engineers
    titleA Prediction Method Based on an Extended Temporal Fusion Transformer for the Cycle Life of Lithium-Ion Batteries
    typeJournal Article
    journal volume151
    journal issue6
    journal titleJournal of Energy Engineering
    identifier doi10.1061/JLEED9.EYENG-6267
    journal fristpage04025073-1
    journal lastpage04025073-15
    page15
    treeJournal of Energy Engineering:;2025:;Volume ( 151 ):;issue: 006
    contenttypeFulltext
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