Fleet Charging Energy Intelligence
Optimize Solar + Battery Storage for EV Fleet Demand
Precision energy modeling for EV fleet charging infrastructure. Our AI analyzes fleet operational patterns and optimizes the solar, BESS, and grid configuration that maximizes both fleet uptime and project returns.
For Solar Developers
Design for Real Demand
Stop guessing at C&I load profiles. Design solar + BESS systems sized for actual fleet charging requirements, including duty cycles, route patterns, and operational schedules.
Access Fleet Leads
Opportunity to connect with fleet operators actively seeking dedicated charging infrastructure.
Win More EaaS Deals
Structure competitive Energy-as-a-Service contracts with validated cost and yield models tuned for fleet charging economics.
Maximize Project IRR
Identify optimal solar, storage, and grid configurations that balance fleet uptime requirements with project returns.
For Fleet Operators
Right-Sized Infrastructure
Get charging infrastructure designed around your actual operations, not generic assumptions. Solar, storage, and grid mix optimized for your routes and schedules.
Bankable Project Economics
Receive institutional-grade financial models and yield projections that accelerate financing and reduce project risk.
Integrated with ergOS
Already using ergOS for fleet operations? Your operational data informs infrastructure design, ensuring confident energy investment.
How It Works
Fleet Energy Requirements
We capture electricity profiles for fleet by modelling EVs, duty cycles, routes and uptime requirements.
Site & Grid Analysis
Evaluate site constraints, grid connection capacity, ToD tariffs, and local solar resource.
Optimal Design
AI-powered optimization across 1,000+ configurations to identify the perfect solar + BESS + grid mix for maximum fleet uptime and project returns
Bankable Output
Energy yield projections, financial models, and EaaS pricing recommendations ready for financing and deal closure
What Makes ergOptimize Different
Fleet-first design
We start with operational demand, not generic load assumptions
Proven optimization engine
Built on energy timeseries engine developed by Tomsawyer Technologies, trusted for 50+ GW of solar and hybrid project optimization globally.
ergOS integration
Real operational data from live fleets informs design accuracy
EV + renewable synergy
Bridging fleet electrification with clean energy infrastructure
Global coverage
Localized tariff structures, equipment databases, and regulatory requirements across the globe
Fleet Charging Intelligence Engine
Financial Intelligence
Bankable P50/P90 revenue projections
Energy-as-a-service pricing and PPA insights
IRR optimization across design variables
Stacked value streams: solar savings, demand charge reduction, grid arbitrage
Use Cases
Depot Charging for EV Fleets
Optimize overnight charging infrastructure for logistics and transportation. Balance solar generation, battery storage, and grid draw to minimize energy costs while ensuring fleet readiness for morning dispatch.
Mixed-Use Facilities
Design charging infrastructure that serves both fleet vehicles and building load. Our optimization accounts for competing demand and identifies the solar + BESS configuration that serves both efficiently.
Opportunity Charging Hubs
Plan mid-route charging stations with solar and storage. Model vehicle arrival patterns, dwell times, and energy requirements to right-size infrastructure for maximum utilization.