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

🤖 Plain-English Summary

Abstract Accurate capacity estimation is crucial for the reliable and safe operation of lithium-ion batteries. A transfer learning model is then developed by adding a featured linear transformation to the base model.

🔑 Key Findings

• 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.

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