Advantages for logistics depots
Flexible Charging
Optimize your charging times based on delivery routes, vehicle availability, and electricity prices.
Account for grid and tariff limits
Schedule charging sessions against available grid capacity and favorable time windows.
Protect departure readiness
Before the next route, check which vehicles can receive the required energy within their available return window.
From route windows to an actionable charging plan
Smart Charging System
- ✓
Integration with your route planning system
- ✓
Dynamic adaptation to delivery times
- ✓
Optimization of depot charging infrastructure
- ✓
Consideration of grid capacities
Energy Management
- ✓
Automatic load distribution in the depot
- ✓
Alarm-aware monitoring of charging processes and charger faults
- ✓
Intelligent use of self-generated electricity
- ✓
Detailed reporting and analyses
Impact on depot operations
Plan operations around departures
Track departure readiness for each vehicle
Coordinate return and charging windows
Link charger faults to affected duties
Review route, charging, and depot data together
Plan grid and energy use
Account for peak loads in the charging plan
Match charging power to available grid capacity
Include electricity price windows in planning
Derive infrastructure needs from depot scenarios
Make route windows, grid limits, and energy prices visible together.
Truck depots often face shifting routes, constrained grid capacity, and high charging power. The charging plan needs to protect operational availability while reducing peak and tariff exposure.
Planning method
How depot scenarios compare charger count, grid capacity, return windows, and required vehicle energy.
OpenSystem integrations
Where route planning, charger status, telematics, meters, tariffs, and exports connect.
OpenLogistics assessment
Use fleet and depot data to identify the first reliability and cost levers.
OpenTCO Scenario Calculator
Explore an illustrative operating-cost scenario for an electrified fleet. Replace the defaults with project data before making a decision.
Modeled monthly difference vs. diesel
36 375 €
Estimated diesel tailpipe CO₂ avoided
554.4 t
Modeled monthly difference: 36 375 €. Estimated diesel tailpipe CO₂ avoided: 554.4 t.