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.
Modules and Outcomes
EVopt models and analyzes the fleet electrification system in a step-by-step manner.
Modules:
Operations Assessment
Define vehicle deployment strategies, operating
schedules, and fleet requirements.
Energy Modeling
Simulate route-level energy use and determine
vehicle battery sizing.
Infrastructure Planning
Select charger types, power levels, load profiles,
and onsite energy resources.
System Scheduling & Costs
Generate charging schedules and evaluate capital,
operational, and emissions costs.
Outcomes:
Right-Sized Systems
Accurately size batteries, chargers, fleets, and
supporting infrastructure.
Cost & Grid Optimization
Minimize total cost of ownership while
addressing utility and grid constraints.
Deployment Confidence
Validate staged rollout plans with data-driven,
site-specific insights.
Actionable Insights
Support strategic decisions with outputs aligned
to real-world fleet operations.
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
- 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
