Nightly energy demand
Calculate how much energy each vehicle must recover from its routes, real consumption, target reserve and winter conditions.
Determine which routes can go electric, how many EVs the depot can support and whether available power, chargers and overnight windows can keep daily service running. Then turn that decision into daily execution with charging, SOC, availability and incidents.
Charging infrastructure should be sized from the real operation. The goal is not to install one charger per vehicle, but to confirm that the fleet can recover the energy it needs before the next departure.
Calculate how much energy each vehicle must recover from its routes, real consumption, target reserve and winter conditions.
Match return and departure times. A van that arrives late has less time to charge, even when charger power looks sufficient.
Account for other site loads and determine how much simultaneous power can be allocated to the fleet without exceeding operational limits.
Identify when several vehicles can share infrastructure and when rotation creates too much risk or manual complexity.
Test winter, higher payload, late returns, lower arrival SOC or one charger out of service.
Start with the best-fitting routes and scale only when real data, depot capacity and charging discipline support the next phase.
Decide which routes to electrify, which vehicle fits and under what operating conditions.
Estimate route energy demand from kilometres, stops, payload, weather and speed.
Check whether available power, chargers and real windows can recover the energy required every night.
Test adverse operating scenarios before buying vehicles or expanding infrastructure.
Recommend a first fleet phase that fits both the routes and the depot’s real charging capacity.
Run the plan with SOC, charging, availability, documentation and incidents from one platform.
A realistic urban and peri-urban operation with 12 route families wants to introduce electric vans without compromising daily availability.
Dense urban, pharmacy, HORECA, parcels, mixed routes and refrigerated delivery.
Small, mid-size and large vans, plus a refrigerated option.
95 kW contracted power, 4 AC chargers and an overnight window limited by return and departure times.
There was real potential, but switching the whole operation at once was not a robust decision.
The combination of routes, depot power and chargers supported a limited and controlled first deployment.
An average-day assessment would have hidden relevant operational risks.
The bottleneck was not only vehicle range. It was also the depot’s overnight charging capacity.
The answer depends on each depot’s routes, schedules and infrastructure, but these are the variables that should be checked before investing.
There is no fixed one-charger-per-vehicle rule. Charger count depends on the energy that must be recovered every night, charger power, available hours, simultaneity and whether infrastructure can be shared without putting the next departure at risk.
It can be enough for many return-to-base operations, especially when routes are recurring and the overnight window is long. It should be validated against daily energy demand, actual connection time and available depot power.
Required power is not calculated by adding the maximum rating of every charger. The model should consider simultaneous charging, total energy demand, vehicle schedules and the site’s other electrical loads.
Yes, when schedules and required energy allow vehicles to rotate with enough margin. Manual rotation, late returns and incidents can reduce reliability, so charger sharing must be treated as an operational constraint.
Start with repeatable routes that have predictable distance and consumption, stable return-to-base times, sufficient energy margin and few critical dependencies. Long, variable or refrigerated routes usually require more validation.