Theoretical and Predictive Models of Particle Dynamics in Cassava Starch-Polyvinylpyrrolidone Nanocomposite Polymer Electrolytes for Lithium-Ion Batteries

Authors

Keywords:

Nanocomposite polymer electrolyte, Cassava starch biopolymer, Polyvinylpyrrolidone synthetic polymer, Theoretical Models, Predictive Model

Abstract

Due to the growing demand for an eco-friendly lithium-ion battery sustainable energy storage system, this study investigated the theoretical and predictive models of particle dynamics in cassava starch (CS)-polyvinylpyrrolidone (PVP) nanocomposite polymer electrolytes for lithium-ion batteries. In this study, the material composition consists of CS and PVP in five different mass ratios, with the addition of fixed additives comprising glycerol, borax, TiO2 and lithium acetate dihydrate. These materials were condensed into nanocomposite polymer electrolyte films using the direct-heating solution casting method.  The data collected from these samples were analyzed using ionic conductivity, Nernst-Einstein, Fick’s law of diffusion, Faraday’s law of electrolysis, stress-strain, and Kissinger activation theoretical models; while, multiple regression model was employed as the predictive model.   Results indicated that Sample 3 recorded the highest ionic conductivity , highest ionic diffusion coefficient , highest diffusion flux  and highest electric charge .  Tensile results showed that Sample 1 had the highest ultimate tensile strength , and strain  .  Thermal analysis revealed that Sample 5 recorded the highest thermal stability.   Predictive model showed a strong predictive performance for activation energy.   Overall, Sample 3 (2.5 g CS: 2.5 g PVP) demonstrated the best combination of electrochemical, tensile, and thermal properties for an eco-friendly lithium-ion battery application.

Dimensions

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Published

2026-03-31

How to Cite

Iyamu, C. O., Inuwa, E. I., & Williams, L. I. (2026). Theoretical and Predictive Models of Particle Dynamics in Cassava Starch-Polyvinylpyrrolidone Nanocomposite Polymer Electrolytes for Lithium-Ion Batteries. Nigerian Journal of Physics, 35(1), 268-280. https://doi.org/10.62292/njp.v35i1.2026.519

Issue

Vol. 35 No. 1 (2026): Nigerian Journal of Physics - Vol. 35 No. 1

Section

Articles
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How to Cite

Iyamu, C. O., Inuwa, E. I., & Williams, L. I. (2026). Theoretical and Predictive Models of Particle Dynamics in Cassava Starch-Polyvinylpyrrolidone Nanocomposite Polymer Electrolytes for Lithium-Ion Batteries. Nigerian Journal of Physics, 35(1), 268-280. https://doi.org/10.62292/njp.v35i1.2026.519