Real-time personalized health status prediction of lithium-ion batteries using deep transfer learning
Guijun Ma, Songpei Xu, Benben Jiang, Cheng Cheng, Xin Yang, Yue Shen, Tao Yang, Yunhui Huang, Han Ding, Ye Yuan
Abstract
We have developed a high-performance deep transfer learning framework to predict the health status of lithium-ion batteries for each end-user at any charge–discharge cycle.
Topics & Concepts
Leverage (statistics)Battery (electricity)Computer scienceTransfer of learningDeep learningMachine learningArtificial intelligenceQuantum mechanicsPower (physics)PhysicsAdvanced Battery Technologies ResearchAdvancements in Battery MaterialsElectric Vehicles and Infrastructure