An Enhanced Cascaded Deep Learning Framework for Multi-Cell Voltage Forecasting and State of Charge Estimation in Electric Vehicle Batteries Using LSTM Networks

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dc.contributor.authorSupavee Pourbunthidkul
dc.contributor.authorNarawit Pahaisuk
dc.contributor.authorPopphon Laon
dc.contributor.authorNongluck Houngkamhang
dc.contributor.authorPattarapong Phasukkit
dc.date.accessioned2025-07-21T06:12:59Z
dc.date.issued2025-06-17
dc.identifier.doi10.3390/s25123788
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/14466
dc.subjectState of charge
dc.subject.classificationAdvanced Battery Technologies Research
dc.titleAn Enhanced Cascaded Deep Learning Framework for Multi-Cell Voltage Forecasting and State of Charge Estimation in Electric Vehicle Batteries Using LSTM Networks
dc.typeArticle

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