Battery value is unmanaged
Charging decisions affect ageing, residual value, usable capacity and operational readiness.
Turning EV fleets into intelligent energy assets
BlueMaat optimizes the economic value of fleet batteries across charging, site energy, operations and flexibility markets.
Battery Intelligence Engine
01
Operational data
Charging, vehicle, site and market signals
02
Battery intelligence
State, health, ageing and usable capacity
03
Economic decisions
Cost, peak, battery value and flexibility
Battery-level intelligence for fleet energy decisions
Real-time optimization across energy cost, peak demand, battery ageing, solar self-consumption and flexibility value.
The hidden economic problem
Batteries are the most valuable assets of EV fleets, yet they are still managed as simple electrical loads.
Energy systems optimize in silos
Charging, site energy, fleets and markets are usually optimized separately, with limited battery visibility.
Flexibility value is emerging
Demand response, smart charging and future bidirectional services require trusted battery-aware decisions.
Product
BlueMaat Battery Intelligence Platform
The next optimization layer for EV fleet energy management: connecting operational data, battery models and real-time economic decisions.
Existing optimization layers
Charging layerInfrastructure, power allocation, charger utilization
Site energy layerBuildings, power flows, site energy cost
Fleet layerVehicles, drivers, routes and scheduling
Market layerDemand response, flexibility dispatch and energy trading
The missing layer
The battery has become the fleet's largest economic asset.
BlueMaat optimizes battery health, ageing, residual value, flexibility and economic decisions across the whole system.
BlueMaat
Battery Value Optimization Layer- Optimal charging strategy
- Battery preservation
- Demand response readiness
- Solar optimization
- Flexibility market participation
- Actionable insights
POC value simulator
Estimate the value potential of a battery-aware EV fleet.
Estimated yearly value
EUR 0
EUR 0 / vehicle
Total value creation split
0% battery value
Battery value
Energy optimization
Peak shaving
Battery value preserved
EUR 0
Energy cost savings
EUR 0
Peak optimization
EUR 0
Default assumptions are pre-filled. Results are indicative and include battery lifetime, energy cost and peak optimization only.
Solar self-consumption, renewable optimization and flexibility revenues are not included in this public POC estimate.
The EV industry optimizes charging infrastructure.
BlueMaat optimizes also the battery itself as an economic asset.
Technology
Battery Intelligence Engine
From operational data to battery-aware economic decisions in real time.
Multi-source operational data
Charging sessions, vehicle usage, environmental conditions, tariffs, prices and grid constraints. No OEM or direct BMS access required.
Battery behaviour reconstruction
Hybrid battery models estimate state, health, usable capacity and degradation under real operating conditions.
Real-time decision engine
Decides when to charge, how much to charge, which vehicle first, when to preserve battery value and when to activate flexibility.
Economic value
From optimization to measurable financial impact
BlueMaat turns technical decisions into value creation for depot-based EV fleets.
Proof of value
Same fleet, same infrastructure, same energy delivered. Better results.
-20%energy cost in POC results
-30%peak demand in POC results
-70%battery stress in POC results
Indicative results based on a POC dataset and battery-stress modeling developed in Python under tested operating scenarios.
