首页|Researchers from Tianjin University of Technology Report Findings in Machine Lea rning (Multi-scale Prediction of Remaining Useful Life of Lithium-ion Batteries Based On Variational Mode Decomposition and Integrated Machine Learning)
Researchers from Tianjin University of Technology Report Findings in Machine Lea rning (Multi-scale Prediction of Remaining Useful Life of Lithium-ion Batteries Based On Variational Mode Decomposition and Integrated Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Fresh data on Machine Learning are presented in a new report. According to news reporting from Tianjin, People’s Republic of Chin a, by NewsRx journalists, research stated, “Accurate and reliable prediction of the remaining useful life (RUL) of lithium-ion batteries (LIB) is very important for the safety of power systems. To solve the nonlinear and time-varying proble ms of LIB aging trajectories, an RUL prediction method based on variational mode decomposition (VMD) and integrated machine learning is proposed.” Financial support for this research came from Fundamental Research Funds for the Central Universities.
TianjinPeople’s Republic of ChinaAsi aAlgorithmsCyborgsEmerging TechnologiesMachine LearningTianjin Univers ity of Technology
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