Routes and service
- Distance and duration
- Schedules and depot return
- Repeatability and operating windows
- Known operational variability
BaseFit turns route, vehicle and depot data into an operational decision: what can be electrified with margin, what needs changes and what should remain for a later phase.
We do not need a complex integration to start. We work with the information available and make assumptions explicit when data is missing.
The goal is not to calculate theoretical range, but to test whether vehicle, route and charging work together with enough margin.
We start from reference consumption and route demand. Margins and scenarios represent conditions that are less favourable than the nominal case.
We compare demand with usable battery energy, departure SOC, minimum reserve and the operating margin defined for the fleet.
Each combination is assessed by energy margin and operational constraints. A route that only works in ideal conditions is not treated as a robust decision.
Electrification also has to fit the available charging hours, charger power and the capacity of the depot.
BaseFit can stress the assumptions to identify routes or configurations that are too sensitive before they become CAPEX.
We test how the margin changes as energy demand increases.
We assess what happens if the vehicle does not start the day at the expected state of charge.
Depot capacity can be reassessed with fewer charging points available.
We test whether delays or less time at the depot compromise the next departure.
The quality of the result depends on the quality of the data. Where telematics or direct measurements are unavailable, we use explicit references and assumptions, apply operating reserves and flag where uncertainty could change the decision. BaseFit is a decision and planning tool; it does not replace vehicle certification, electrical design or the technical validation of an installer.
The analysis prioritises decisions and operational limits. It is not just a range figure or a generic list of vehicles.
Which routes fit, which are close to the limit and which should wait.
Which candidates provide enough margin for each operation analysed.
Where site power, chargers or available windows become limiting.
A proposal to start with the part of the fleet carrying the lowest operational risk.
What changes when conditions deteriorate and which decisions are more fragile.
Which data was used, what was estimated and where better information would reduce uncertainty.
We start from reference vehicle consumption or measured data when available and relate it to the route and the defined margins. The analysis can then be stressed with higher-consumption scenarios to see how much margin remains before a route is considered robust.
Not necessarily. The analysis distinguishes usable energy from nominal capacity and works with a departure SOC and a minimum reserve. This avoids treating 0–100% of the battery as if it were always an available operating window.
Through scenarios and safety factors applied to consumption and available energy. The aim is not to predict one specific day, but to test whether the decision still works when conditions are no longer ideal.
We can start with Excel, CSV or a structured sample of routes and schedules. Assumptions are identified so they can later be replaced by measured data when it becomes available.
It assesses whether the energy required by the vehicles can be delivered within the available charging windows and with the infrastructure considered. A definitive electrical project still requires the corresponding engineering and site study.
With these details we can confirm fit and propose the right scope.
Analysis from €1,490 + VAT.