Electric Vehicle Charger Planning

Electric vehicle charger planning for intra-city travel is complex as it requires multiple data sources on existing charger locations, work and leisure trip patterns, points of interest for deploying new stations, power network properties, and sociodemographic features. EV Charger Pro is an interactive tool that generates comprehensive expansion plans with versatile analytics, including charger location optimization, POI assessment, and Network Science anslytics.

 

Filter Station Properties based on

  • Availability status

  • Access restrictions

  • Connector type

  • Pricing

  • Network properties

  • Number of L2 and DC outlets

 

Spatial Pivot Table

  • The shades represent the the ratio of two metrics, e.g., number of L2 outlets over EV owners

  • The metrics include EV ownership, charger properties, ward populations, and EDI metrics

 

Points of Interest Analysis

  • Assess points of interest (POI) by drag/dropping chargers

  • POIs are also classified into fewer categories for better assessment

 

Add and Customize New Stations

  • Add new address

  • Customize properties including network properties, pricing, and charger type (L2,DC) and number of outlets

  • Change the properties of already existing and newly added stations

 

Ward Properties

  • Click on wards to view their features

  • Features include, EV ownership patterns and number/type of chargers

 

Optimize Charger Locations

  • Optimize the type and number of chargers in each ward by changing 11 factors

  • The optimization considers travel patterns, including work and leisure trips for origin-destination pairs

  • Outputs in the results panel include total incoming and outgoing chargers, number of types of chargers to be deployed, and total cost

 

Network Science Analysis

  • Generate a network where two stations are connected if their distance is less than a threshold

  • Assess network properties, including reliability, accessibility, and betweenness to identify critical chargers in the network

 

Power Network Integration

  • Identify feasible locations based on the properties of the power/electricity network

  • Assess local overloads of the power network caused by EV charging

 

Save/Load/Report

  • Save and load previous designs

  • Compile auto-generated reports