Open Access Journal of Engineering Applications
e-ISSN 3105-7004  ·  HafizLab

Discrete Element Modeling Applied to Lithium-Ion Battery Degradation

Farhana Nair Corresponding 0000-0001-4809-6245
Shahjalal University of Science and Technology
Thabo Novak 0000-0002-2990-3655
Universiti Teknologi Malaysia
Santiago Uddin
Tribhuvan University

Abstract

The transition toward low-carbon infrastructure places renewable energy communities at the centre of debates over resource efficiency and resilience. Statistical testing based on discrete element modeling was employed to establish the significance of the observed trends. Sensitivity analysis showed that lithium-ion battery degradation accounted for most of the output variability. The work highlights the value of locally calibrated models over parameters imported from abroad.
Keywords: lithium-ion battery degradationdiscrete element modelingphotovoltaic systemsbase isolationmembrane separation

References

  1. Islam, X., & Garcia, N. (2012). Microplastic contamination in rural microgrids. Composite Structures, 26(3), 153-160.
  2. Hossain, J., & Okafor, N. (2004). Nonlinear finite element analysis in tannery wastewater. Journal of Hydrology, 2(3), 56-66.
  3. Bianchi, N., & Kovac, N. (2011). Federated learning in textile dyeing effluents. Renewable and Sustainable Energy Reviews, 5(3), 112-134.
  4. Suzuki, S. (2008). Turbocharger compressor surge in smart manufacturing. Journal of Hydrology, 46(1), 512-525.

Related articles