LFP vs. NMC Degradation Curve Database (CSV)
The LFP vs. NMC Degradation Curve Database (CSV) is a structured, experimentally validated dataset containing time- and cycle-resolved capacity retention, resistance growth, and voltage fade metrics for lithium iron phosphate (LFP) and nickel-manganese-cobalt oxide (NMC) lithium-ion battery chemistries under standardized aging conditions. It enables quantitative comparison of degradation kinetics, mechanisms, and lifetime performance between the two chemistries. The CSV format ensures interoperability with data analysis, battery modeling, and BMS calibration tools.
📖 Overview
📑 Key Components
🎯 Applications
- ✓ Battery energy storage system (BESS) sizing and warranty period estimation
- ✓ Physics-based battery model parameterization (e.g., PyBaMM, COMSOL)
- ✓ BMS algorithm development for state-of-health (SoH) estimation and adaptive charging control
📐 Key Formulas
Capacity Fade Rate
α = (1 − Q(t)/Q₀) / t
Average fractional capacity loss per unit time (e.g., %/month), where Q(t) is capacity at time t and Q₀ is initial capacity.
Cycle-Life Power Law Model
Q(N) = Q₀ · (1 − k · N^m)
Empirical fit for capacity vs. cycle count N; k is fade coefficient, m is degradation exponent (typically 0.5–1.0 for LFP, 0.7–1.2 for NMC).
Arrhenius Aging Acceleration
k(T) = k₀ · exp(−Eₐ/(R·T))
Temperature-dependent fade rate coefficient k(T), where Eₐ is activation energy (kJ/mol), R is gas constant, and T is absolute temperature (K).