Accurate capacity estimation is crucial for lithium-ion batteries' reliable and safe operation. Here, the authors propose an approach exploiting features from the relaxation voltage curve for battery capacity estimation without requiring other previous cycling information.
The lithium battery charging curve illustrates how the battery’s voltage and current change during the charging process. Typically, it consists of several distinct phases: Constant Current (CC) Phase: In this initial phase, the charger applies a constant current to the battery until it reaches a predetermined voltage threshold.
The lithium battery discharge curve is a curve in which the capacity of a lithium battery changes with the change of the discharge current at different discharge rates. Specifically, its discharge curve shows a gradually declining characteristic when a lithium battery is operated at a lower discharge rate (such as C/2, C/3, C/5, C/10, etc.).
A novel capacity estimation method for lithium-ion batteries using fusion estimation of charging curve sections and discrete Arrhenius aging model. Appl. Energy 251, 113327 (2019) Han, X., Ouyang, M., Lu, L., et al.: A comparative study of commercial lithium ion battery cycle life in electric vehicle: capacity loss estimation. J.
The capacity of a lithium battery refers to the amount of charge the battery can store. It is usually expressed in milliamp-hours (mAh) or ampere-hours (Ah). By integrating the lithium battery charge curve and discharge curve, the actual capacity of the lithium battery can be calculated.
This paper introduces a novel approach to estimating the state of health of lithium-ion batteries by leveraging partial incremental capacity curves and transfer learning. The major findings and conclusions are as follows: (1) The proposed method uses the partial incremental capacity curves as SBiGRU input to achieve SOH estimation directly.