Cooperative co-evolutionary differential evolution algorithm applied for parameters identification of lithium-ion batteries

作者：

Highlights：

• The proposed method can be applied for any non-linear ECM without pre-assumptions.

• Parameters identification of battery was transformed into a LSOP.

• A new m-decomposition method allots R0, RP and CP overlapped to each group.

摘要

•The proposed method can be applied for any non-linear ECM without pre-assumptions.•Parameters identification of battery was transformed into a LSOP.•A new m-decomposition method allots R0, RP and CP overlapped to each group.

论文关键词：Large scale optimization problem,Differential evolution,Cooperative co-evolution algorithm,Parameters identification of battery

论文评审过程：Received 25 October 2021, Revised 28 March 2022, Accepted 3 April 2022, Available online 6 April 2022, Version of Record 8 April 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117192