EV Ranking was created to provide a clear and objective comparison of electric vehicles (EVs) based on measurable data. The platform is designed to help users make informed decisions when choosing an EV by focusing on the performance and cost-efficiency of vehicles. By presenting rankings based on key features and price, we aim to offer a transparent and unbiased resource for EV enthusiasts, prospective buyers, and researchers alike. The user can change the importance of the features himself.
The algorithm behind EV Ranking evaluates electric vehicles based on objective criteria such as:
Each attribute is weighted relative to its importance, and the combined score is calculated in relation to the vehicle's base price. This ensures that users can compare EVs not only by their features but also by their value for money.
The algorithm uses the following formula to calculate the weighted scores for each attribute:
Score = (((Feature - Min(Feature)) / (Max(Feature) - Min(Feature))) × 10 × Weight) / Base Price × Mean Price
Explanation:
Feature: The value of the specific attribute (e.g., range, charging speed).Min(Feature) and Max(Feature): The minimum and maximum values of the attribute within the cluster.Weight: The importance of the attribute as defined in the algorithm.Base Price: The base price of the vehicle.Mean Price: The average base price of all vehicles in the cluster.This formula ensures that vehicles are scored fairly relative to their peers within the same cluster and adjusted for differences in price, providing a balanced comparison.
EV Ranking originated as a university project aimed at exploring data analysis and visualization methods for sustainable technologies. The idea was to create a user-friendly tool to objectively assess electric vehicles using real-world data. Building on the initial concept, this platform has been expanded and refined into what it is today.
Interestingly, the core idea of EV Ranking evolved with the help of ChatGPT, which played a vital role in brainstorming and implementing the foundational concepts. This collaborative approach highlights the synergy between AI and human creativity in solving real-world challenges.