Overview

This Project implements an awesome Algorithm that helps EV Charger Suppliers to understand the route between two locations, and help make installation decisions

Input to be fed into the System

• SoC of the EV before starting the Route
• Range of the EV
• Distance between Point A and Point B
• Threshold Minimum SoC
• Number of EVs to be tested on

Output from the System

• Number of Charging Stations
• Location Distance of the Charging Stations
• Range Anxiety at each locations

Libraries

• Collections
• Pandas
• Matplotlib
• Numpy
• csv

Prerequisites

• CSV with samples of EV's starting SoC (Example file already there in the repo)

Usage Guide

• Select a route through a map
• Set all the input parameters for the route
• Run ChargingStation.py first to get first set of Outputs (Charging Station Locations, Range Anxiety and SoC at the END)
• Then, Run standard_deviation.py to validate the results from the prior.