The Dataset for: Real-time personalized health status prediction of lithium-ion batteries using deep transfer learning
Published: 24 May 2022| Version 2 | DOI: 10.17632/nsc7hnsg4s.2
Contributors:Ye Yuan, ,
A dataset with 77 LFP/graphite cells (1.1 Ah nominal capacity and 3.3 V nominal voltage). The cells were cycled with an identical charge protocol but different multi-stage discharge protocols at a constant temperature of 30°C.
Huazhong University of Science and Technology