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EVopt Planner

EVopt-Planner models driving and charging operations to determine the optimum size of the electric fleet, vehicle batteries, and charging/energy infrastructure, aiming to minimize capital and operational costs. Its built-in simulation and “what-if” analysis functions aid in evaluating the impact of changes to operating conditions, mitigating risks arising from uncertainties.

Features and Functions

EVopt models and analyzes the fleet electrification system in a step-by-step manner.

Features

  • Route energy calculations
  • Battery sizing
  • Operating schedule
  • Charger power ratings
  • Electric load profiles
  • Capital and operational costs
  • Total cost of ownership
  • Emissions calculations

Functionality

  • Right-size key system components (batteries, chargers, fleet size, energy infrastructure)
  • Optimize system costs
  • Address grid constraints
  • Size onsite energy resources
  • Generate charging schedule
  • Verify each deployment stage

Technology Underpinnings

EVopt-Planner integrates technology developed in national laboratories, incorporates advanced algorithms developed through fleet consulting projects across the globe, and has been thoroughly validated against real-world performance data. Now available in a user-friendly cloud-based application.

Use Cases

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  • Minimize data input using GTFS data
  • Develop charging strategy (depot charging, layover charging, on-route charging)
  • Optimize system design (battery size, charger size, fleet size)
  • Manage lane geometry constraints
  • Manage grid constraints
  • Optimize charging schedule to minimize electricity cost
  • Integrate DER/microgrids
  • Minimize Data Input using EPA form.
  • Develop Charging Strategy (Overnight Charging, Overnight + Midday Charging, Home Charging)
  • Optimize System Design (Battery Size, Charger Size, Fleet Size)
  • Manage Grid Constraints
  • Optimize Charging Schedule to minimize electricity cost.
  • Quantify V2G Benefits.
  • Integrate DER/Microgrids.
  • Minimize data input using telematics data
  • Develop charging strategy (depot charging, layover charging, public charging)
  • Optimize system design (battery size, charger size, fleet size)
  • Manage grid constraints
  • Optimize charging schedule to minimize electricity cost
  • Integrate DER/microgrids