Vehicle Range Change Prediction Using Ambient Temperature

The patent changes the parameters used in range prediction by incorporating ambient temperature as a key factor and using specific polynomial approximation functions that account for temperature-dependent energy consumption patterns. This allows for quicker and more reliable predictions by focusing on the most influential parameters rather than attempting to model all vehicle functions in detail.

The patent uses simplified polynomial approximation functions that provide quick, disposable predictions for range changes. These approximation functions are computationally inexpensive and can be rapidly evaluated multiple times as vehicle conditions change, providing reliable enough predictions for driver decision-making without requiring complex, time-consuming calculations.

The patent extracts and isolates the most critical factor affecting range prediction - ambient temperature - and builds the prediction model around this single parameter. By taking out temperature as the primary variable and using polynomial approximations specific to temperature ranges, the system achieves good prediction accuracy without the complexity of modeling all vehicle functions in detail.

The patent segments the prediction approach by creating different polynomial approximation functions for different ambient temperature ranges. This segmentation allows the system to use simpler, faster calculations for each temperature segment while maintaining overall prediction accuracy across the full temperature spectrum, avoiding the need for a single complex universal model.