Electric Vehicle Range Model with Discharge Depth Analysis

We can generate plots showing the relationship between Depth of Discharge (DoD) and distance traveled, and perform interpolation calculations to determine the vehicle's driving range. This analysis helps us better understand vehicle performance and battery lifespan. For this task, we can utilize compressed specifications from vehicles like the GM EV1 (or any other model) to examine how DoD relates to distance across various driving cycles. The implementation typically involves loading battery performance data, applying interpolation algorithms (such as linear or cubic spline interpolation), and creating visualization plots using libraries like matplotlib or plotly. Key functions would include data preprocessing, interpolation calculations, and graphical output generation. This methodology enables deeper insights into electric vehicle performance under different driving distances and usage conditions. We can further explore the data to analyze how these factors impact battery longevity and overall vehicle performance. Through such analysis, we can develop better recommendations for improving electric vehicle efficiency and reliability, potentially involving battery management system optimizations and driving pattern adjustments.