Battery Degradation Estimation via Virtual Modeling

The patent creates a virtual degradation model that replicates the effects of charge-discharge experiments through computational simulation rather than physical testing. The model copies the degradation behavior by processing operational data (charge/discharge cycles, temperature, current) through algorithms that predict capacity loss without actually subjecting the battery to stressful testing conditions.

The patent replaces the mechanical/physical charge-discharge testing system with an information-processing system. Instead of applying electrical stress to physically degrade the battery and measure results, the system uses data processing and computational models to estimate degradation based on operational parameters, substituting physical experimentation with information analysis.

The patent segments the degradation estimation process into multiple independent components: operational data collection, parameter processing, model selection, and degradation calculation. Each component handles specific aspects (charge-discharge cycles, temperature effects, current patterns), allowing the system to adapt to different usage conditions by weighting or emphasizing relevant segments based on the specific operational context.

The patent implements a dynamic degradation model that continuously adapts to changing usage conditions. The model processes real-time operational data and adjusts degradation estimates based on varying parameters such as temperature fluctuations, charge-rate changes, and usage patterns. This dynamic approach allows the system to maintain accuracy across diverse vehicle models and environmental conditions rather than relying on static assumptions.

The patent performs preliminary degradation assessment throughout the battery's operational life rather than waiting until capacity is fully depleted. By continuously monitoring operational parameters and estimating degradation in advance, the system identifies the optimal replacement timing before performance significantly deteriorates. This allows planners to schedule battery replacements proactively, avoiding emergency replacements at higher costs and maximizing the useful life of high-capacity batteries.

The patent implements a feedback mechanism where degradation estimates inform battery management decisions. The system continuously monitors operational data, updates degradation models, and uses this information to optimize battery usage patterns, charging strategies, and replacement scheduling. This feedback loop enables more efficient utilization of expensive high-capacity batteries, extending their effective service life and reducing overall cost per unit of energy delivered.