Data-driven capacity estimation of commercial lithium-ion batteries from voltage relaxation

Abstract Accurate capacity estimation is crucial for the reliable and safe operation of lithium-ion batteries. In particular, exploiting the relaxation voltage curve features could enable battery capacity estimation without additional cycling information. Here, we report the study of three datasets comprising 130 commercial lithium-ion cells cycled under various conditions to evaluate the capacity estimation approach. One dataset is collected for model building from batteries with LiNi 0.86 Co 0.11 Al 0.03 O 2 -based positive electrodes. The other two datasets, used for validation, are obtained from batteries with LiNi 0.83 Co 0.11 Mn 0.07 O 2 -based positive electrodes and batteries with the blend of…

• AV
  Alexander von Humboldt-Stiftung
• CO
  Center of Excellence for Learning in Education, Science and Technology
• NN
  National Natural Science Foundation of China

  Awards: U20A20310, 52107230
• FR
  Fundamental Research Funds for the Central Universities

  Awards: U20A20310, Grant No. 52107230