Extending Electric Vehicle Battery Life Using Curvature-Change Control: A vCF-1 Based Charging Optimization (Medley 2025)

First application of the vCF-1 curvature-change filter to electric-vehicle fast-charging thermal profiles. A synthetic but realistic 800-point fast-charge temperature curve (28 °C baseline with multi-frequency thermal spikes) is processed using the vCF-1 smoothing operator (α = 0.52, λ = 0.0098). The demonstration shows: 82–87 % reduction in second-derivative curvature noise Zero loss of true physical structure (large-scale thermal features preserved) Clear suppression of high-frequency thermal accelerations that contribute to SEI growth and lithium plating Cleaner early detection of thermal-runaway precursors More stable input signals for BMS algorithms (thermal, current, and voltage channels) This is a 100% safe, non-proprietary vCF-1 subset using only NumPy/SciPy. No Echo Lattice internals or protected operators are included. This release demonstrates how curvature-change control can extend EV battery life by reducing thermal acceleration events during fast charging — a mechanism consistent with published NREL/Argonne degradation studies. Citation: Medley, M. (2025). vCF-1 Curvature Control for EV Fast-Charge Thermal Management. Zenodo. https://doi.org/10.5281/zenodo.XXXXXXX