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Intelligent EV Fleet Charging Planning

ChargeOptima helps EV fleet teams evaluate charging strategies, infrastructure constraints, demand charge exposure, and fleet readiness before costly deployment decisions are locked in.

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Who ChargeOptima is built for?

Fleet Owners and Operators with EVs

Electrifying Fleets Planning Their Next Stage of Growth

Depot-Based Commercial Fleets Under Shared Site Constraints

Teams Evaluating Charging Strategy Before Infrastructure Spend

Infrastructure-Aware Planning Challenges

Limited Site Capacity

Depot power, transformer limits, and grid constraints can restrict charging scalability.

Demand Charge Exposure

Simultaneous charging can create short-duration peaks that increase commercial energy costs.

Interconnection & Upgrade Delays

Utility timelines and infrastructure upgrades can delay deployment and increase project risk.

Fleet Readiness

Charging strategies must still ensure vehicles are ready for dispatch when needed.

How ChargeOptima works?

Operational & Infrastructure Inputs
Fleet & Vehicle Data
  • Vehicle types & battery capacity
  • Max charging power
  • State of charge (current / target)
Routes & Schedules
  • Arrival & departure times
  • Next-day routes
  • Required readiness windows
Depot & Grid Constraints
  • Charger count & power limits
  • Site load limits
  • Grid and transformer constraints
Energy Pricing
  • Time-of-use tariffs
  • Utility rates
  • Energy cost signals
ChargeOptima Planning Engine
  • Scenario modeling
  • Constraint analysis
  • Infrastructure planning
  • Charging strategy optimization
Planning Outputs
Charging Strategy Evaluation
  • Compare charging scenarios
  • Fleet readiness impact
  • Charging coordination options
Infrastructure & Cost Analysis
  • Demand charge exposure
  • Peak demand analysis
  • Infrastructure upgrade risk
Planning Recommendations
  • Capacity planning guidance
  • Deployment recommendations
  • Operational tradeoff insights

Planning Scenario

A depot with 32 electric service vehicles faces a 250 kW aggregate charging limit because of transformer and facility constraints.

Without Planning
Charging peaks form before readiness priorities are clear
  • Vehicles charge as they return
  • Charging peaks stack up early in the evening
  • Lower-priority vehicles consume site capacity too soon
  • Morning readiness risk for priority vehicles
With ChargeOptima
250 kW site limit respected with readiness-aware charging
  • Charging is prioritized by next-day readiness need
  • Aggregate site demand stays within a 250 kW limit
  • Charging windows are staggered across the evening
  • Fleet readiness improves without assuming a site upgrade

The real question is: which vehicles should charge?, when?, and within what site limits?.

Industry Validation

Tariff design and operational structure are important factors in commercial EV fleet economics.

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Managed charging can reduce aggregate peak demand and shift load away from critical periods.

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Commercial electricity costs can be affected by demand charges and time-based rates.

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Managed charging and aggregate power control can reduce infrastructure stress in real-world charging environments.

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Core Capabilities

Charging Strategy Optimization Engine

Evaluate and optimize charging strategies across site constraints, readiness priorities, and demand charge exposure.

Scenario Modeling

Compare multiple charging approaches before deployment decisions are finalized.

Infrastructure-Aware Planning

Model depot power limits, charger capacity, and site constraints.

Tariff-Aware Optimization

Incorporate TOU rates and demand charge exposure into planning logic.

Fleet Readiness Planning

Balance charging optimization with operational dispatch requirements.

Future Optimization Areas

Extend optimization toward battery health, phased buildout, and long-term fleet growth.

Start with Your Fleet Planning Question

We are exploring pilot collaborations with fleet operators, infrastructure planners, and utility stakeholders working through real charging planning constraints.

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