Rapid Mapping of Electrochemical Processes in Energy-Conversion Devices

Jake Huang, Charlie Meisel, Neal Sullivan, Andriy Zakutayev, Ryan O'Hayre

Research output: Contribution to journalArticlepeer-review

1 Scopus Citations

Abstract

Electrochemical impedance spectroscopy (EIS) is ubiquitously applied to identify physicochemical processes governing the performance of energy-conversion devices. However, deconvolution and interpretation of impedance phenomena are limited by measurement throughput and a dearth of scalable analysis methods. Here, we demonstrate an approach to quickly collect and coherently analyze large volumes of electrochemical data. We accelerate impedance characterization by combining rapid measurements in time and frequency domains, which are interpretably transformed using the distribution of relaxation times (DRT) and a new distribution of phasances (DOP) model. This method provides excellent agreement with EIS and decreases measurement time by an order of magnitude. High-throughput spectra are then distilled into detailed electrochemical maps. This approach is applied to a Li-ion battery and a protonic ceramic electrochemical cell as practical case studies, demonstrating how mapping can richly characterize physicochemical relationships that are difficult to decipher with conventional measurement and analysis methods.
Original languageAmerican English
Pages (from-to)2049-2072
Number of pages24
JournalJoule
Volume8
Issue number7
DOIs
StatePublished - 2024

NREL Publication Number

  • NREL/JA-5K00-89975

Keywords

  • batteries
  • chronopotentiometry
  • current interrupt
  • distribution of phasances
  • distribution of relaxation times
  • electrochemical impedance spectroscopy
  • electrochemical mapping
  • electrolyzers
  • fuel cells
  • time domain

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