Electrochemical model parameter identification of a lithium-ion battery using particle swarm optimization method

By A. F. M. Moshiur Rahman, S. Anwar, A. Izadian. 2016

265 citations recorded by the source corpus.

Subfields: Automotive Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/20860e120930396bd78acb1ce9ef5f0878e8efad

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Automotive Engineering

1. Kang Li
2. Qiao Peng
3. Cheng Zhang
4. Kailong Liu

In Electrical and Electronic Engineering

1. Kang Li
2. Qiao Peng
3. Cheng Zhang
4. Kailong Liu

Citations in the corpus

• A brief review on key technologies in the battery management system of electric vehicles (2018, background): “[6] claimed that the battery electrochemical model should have the abilities to capture the spatiotemporal dynamics of battery concentration, the electrode potential for each phase and the BulterVolmer kinetic to control intercalation reaction.”