Comparative Analysis of the Performance of Batteries

Abstract

This study presents a comparative modeling and performance analysis of four major battery chemistries Lead–acid, Lithium-ion, Solid-state, and Flow using MATLAB/Simulink and Simscape. A unified equivalent circuit model (ECM), comprising an open-circuit voltage source, ohmic resistance, and two RC branches, was implemented as a baseline framework to ensure consistency across chemistries. Chemistry-specific extensions were incorporated, including the Shepherd–Peukert model for Lead–acid, a Single-Particle Model (SPM) for Lithium-ion, an extended SPM with interfacial resistance for Solid-state, and coupled tank–stack–channel dynamics for Flow batteries. Experimental OCV–SOC (Open-Circuit Voltage vs. State of Charge) data, diffusion coefficients, and kinetic parameters were integrated to enhance fidelity, while degradation sub-models such as SEI growth, Peukert aging, interfacial resistance, and electrolyte imbalance enabled lifecycle projections. Standardized test protocols comprising constant-current discharges, dynamic load cycles, temperature sweeps, and cycling tests were applied to evaluate voltage–SOC behaviour, round-trip efficiency, thermal rise, and cycle life. Results indicated that Lithium-ion and Solid-state deliver superior energy density and efficiency, Lead–acid remains cost-effective but cycle-limited, and Flow batteries achieve exceptional lifetime with scalable power–energy decoupling. The unified framework provides a reproducible methodology for battery evaluation, offering valuable insights for mobility, stationary storage, and grid-scale applications.