Supplementary material for Chapter 4: Degradation-aware battery management system for second-life 18650 lithium-ion cells — MATLAB/Simulink implementation and comparative validation

Supplementary material for Chapter 4 of the doctoral thesis "Modeling the degradation process of lithium cells for the purpose of managing their reuse in second-life applications in isolated microgrids" by V. J. Olivero Ortiz, Universidad del Norte, Colombia (2026). Chapter 4 addresses Specific Objective 3 (OE3): adapt a battery management system incorporating the developed degradation model. A degradation-aware BMS is designed and validated in MATLAB R2024b / Simulink / Simscape, integrating GPR-based SOH estimation with the HA-ACD adaptive algorithm on a virtual bank of 8 series-connected 18650 second-life cells (NASA PCoE dataset). The control law I = I_nom · α · min{γ} combines a reactive factor α (Chapter 3) with a proactive derating factor γ based on uncertainty-adjusted SOH (SOH_eff = μ − 2σ). Comparative simulation shows: safety violations reduced from 4 cells to 0, minimum SOC maintained at exactly 10.0 %, energy sacrifice of 3.4 %, and operation time increased by 94.8 %. Contents: 24 MATLAB scripts and 2 functions (complete reproducible pipeline), 6 processed data files (.mat), 2 Simulink/Simscape models (.slx), and 14 publication-quality figures. The NASA PCoE dataset is required but not distributed; download instructions are in the README.