Aging trajectory prediction of lithium-ion batteries based on mechanical-electrical features via nonlinear autoregressive and regression neural networks
Lili Gong, Junjie Ding, Kai Sun, Zhiyuan Zhang, Xueyan Li, Haosong Yang, Peng Tan
Topics & Concepts
Autoregressive modelArtificial neural networkNonlinear autoregressive exogenous modelTrajectoryNonlinear systemLithium (medication)Nonlinear regressionRegressionIonControl theory (sociology)Materials scienceRegression analysisBiological systemComputer scienceArtificial intelligenceEconometricsMachine learningMathematicsStatisticsPhysicsPsychologyBiologyAstronomyQuantum mechanicsPsychiatryControl (management)Advanced Battery Technologies ResearchAdvancements in Battery MaterialsFault Detection and Control Systems