Modeling of alkaline batteries and investigation of the relationship between electrochemical impedance and Raman spectroscopy

This work presents an in-depth investigation of the electrochemical behavior of alkaline manganese dioxide batteries, focusing on the correlation between electrical and chemical characterizations through galvanostatic electrochemical impedance spectroscopy and Raman spectroscopy. A physics-based equivalent electric circuit model is proposed to capture the battery’s impedance response at different state of charge (SOC) levels, accounting for ohmic resistance, charge-transfer processes, and diffusion phenomena. The evolution of the model parameters throughout the discharge process highlights critical transitions in internal battery dynamics, including the formation of zinc oxide layers and the increase in interfacial resistances. Concurrently, Raman spectroscopy measurements performed on the cathode surface at various SOC levels reveal significant structural and compositional changes, most notably the gradual transformation of manganese dioxide ( MnO 2 ) into manganese(III) oxide ( Mn 2 O 3 ) and mixed zinc-manganese oxides with a spinel structure ( ZnMn 2 O 4 ) resulting from zinc migration through the separator. Finally, this work provides new insights into degradation mechanisms by establishing a direct correlation between electrical parameters and chemical transformations. • Proposes an electric circuit model for Alkaline batteries. • Correlates EIS data with Raman spectroscopy for SOC-dependent battery behavior. • Reveals MnO 2 cathode changes linked to Zn migration and battery degradation.

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Publication Details

Journal
Journal of Energy Storage
Published
2026-01-22
DOI
https://doi.org/10.1016/j.est.2026.120719
Primary Topic
Advanced battery technologies research
Type
article
Field-Weighted Citation Impact
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article

Modeling of alkaline batteries and investigation of the relationship between electrochemical impedance and Raman spectroscopy

Gianlorenzo Bussetti, Lorenzo Codecasa, Marco Menegazzo, Rossella Yivlialin et al.
Journal of Energy Storage
Advanced battery technologies research
article

Modeling of alkaline batteries and investigation of the relationship between electrochemical impedance and Raman spectroscopy

Gianlorenzo Bussetti, Lorenzo Codecasa, Marco Menegazzo, Rossella Yivlialin, Eugenio Gibertini, Andrea Lucotti, Samuele Grillo, Cha Long, Simone Barcellona, Marzio Barresi
article en

Abstract

This work presents an in-depth investigation of the electrochemical behavior of alkaline manganese dioxide batteries, focusing on the correlation between electrical and chemical characterizations through galvanostatic electrochemical impedance spectroscopy and Raman spectroscopy. A physics-based equivalent electric circuit model is proposed to capture the battery’s impedance response at different state of charge (SOC) levels, accounting for ohmic resistance, charge-transfer processes, and diffusion phenomena. The evolution of the model parameters throughout the discharge process highlights critical transitions in internal battery dynamics, including the formation of zinc oxide layers and the increase in interfacial resistances. Concurrently, Raman spectroscopy measurements performed on the cathode surface at various SOC levels reveal significant structural and compositional changes, most notably the gradual transformation of manganese dioxide ( MnO 2 ) into manganese(III) oxide ( Mn 2 O 3 ) and mixed zinc-manganese oxides with a spinel structure ( ZnMn 2 O 4 ) resulting from zinc migration through the separator. Finally, this work provides new insights into degradation mechanisms by establishing a direct correlation between electrical parameters and chemical transformations. • Proposes an electric circuit model for Alkaline batteries. • Correlates EIS data with Raman spectroscopy for SOC-dependent battery behavior. • Reveals MnO 2 cathode changes linked to Zn migration and battery degradation.

Journal of Energy StorageVol. 152
Politecnico di Milano (IT)
Openalex Percentile: Top 81%
Advanced battery technologies research
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