Deterioration diagnosis of lithium-ion battery based-on parameter estimation of electrochemical model using particle swarm optimization | IEEE Conference Publication | IEEE Xplore

Deterioration diagnosis of lithium-ion battery based-on parameter estimation of electrochemical model using particle swarm optimization


Abstract:

For the purpose of improving the deterioration diagnosis accuracy of lithium-ion batteries, we aim to establish a model-based deterioration diagnosis method. An equivalen...Show More

Abstract:

For the purpose of improving the deterioration diagnosis accuracy of lithium-ion batteries, we aim to establish a model-based deterioration diagnosis method. An equivalent circuit model is derived using electrochemical impedance spectroscopy that can accurately represent the dynamic characteristics of lithium ion batteries. By estimating the parameters of the model by the particle swarm optimization method, it is possible to follow the change of the parameter due to deterioration considering the relationship with deterioration from the parameter change.
Date of Conference: 10-13 April 2018
Date Added to IEEE Xplore: 25 June 2018
ISBN Information:
Electronic ISSN: 2576-3555
Conference Location: Thessaloniki, Greece

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