Diagnosis of lithium-ion batteries state-of-health based on electrochemical impedance spectroscopy technique
- 1 September 2014
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- No. 23293721,p. 4576-4582
Abstract
Lithium-ion batteries have developed into a popular energy storage choice for a wide range of applications because of their superior characteristics in comparison to other energy storage technologies. Besides modelling the performance behavior of Lithium-ion batteries, it has become of huge interest to accurately diagnose their state-of-health (SOH). At present, Lithium-ion batteries are diagnosed by performing capacity or resistance (current pulse) measurements; however, in the majority of the cases, these measurements are time consuming and result in changing the state of the battery as well. This paper investigates the use of the electrochemical impedance spectroscopy (EIS) technique for SOH diagnosis of Lithium-ion battery cells, instead of using the aforementioned techniques, since this new method allows for online and direct measurement of the battery cell response in any working point. For the investigation, a 2.5 Ah Lithium-ion battery cell based on lithium iron phosphate and graphite (LiFePO 4 /C), as active material, was used. The obtained results at different battery SOH levels have been analyzed in detail and are suggesting that the EIS technique represents a promising tool for diagnosis the lithium-ion battery cells' SOH; meaningful results regarding the pulse power capability decrease of the tested Li-ion battery cells were obtained by applying the EIS technique.Keywords
This publication has 13 references indexed in Scilit:
- Accelerated Lifetime Testing Methodology for Lifetime Estimation of Lithium-Ion Batteries Used in Augmented Wind Power PlantsIEEE Transactions on Industry Applications, 2014
- Field tests experience from 1.6MW/400kWh Li-ion battery energy storage system providing primary frequency regulation service2013
- Accelerated lifetime testing methodology for lifetime estimation of Lithium-ion batteries used in augmented wind power plants2013
- Selection and Performance-Degradation Modeling of LiMO$_{2}$/Li$_{4}$Ti$_{5}$O$_{12}$ and LiFePO$_{4}$/C Battery Cells as Suitable Energy Storage Systems for Grid Integration With Wind Power Plants: An Example for the Primary Frequency Regulation ServiceIEEE Transactions on Sustainable Energy, 2013
- Calendar aging of a graphite/LiFePO4 cellJournal of Power Sources, 2012
- Energy Storage Systems for Transport and Grid ApplicationsIEEE Transactions on Industrial Electronics, 2010
- Accurate electrical battery model capable of predicting runtime and I-V performanceIEEE Transactions on Energy Conversion, 2006
- Impedance-Based Simulation Models of Supercapacitors and Li-Ion Batteries for Power Electronic ApplicationsIEEE Transactions on Industry Applications, 2005
- Dynamic lithium-ion battery model for system simulationIEEE Transactions on Components and Packaging Technologies, 2002
- A frequency-domain approach to dynamical modeling of electrochemical power sourcesElectrochimica Acta, 2002