Better Fleet: Build a route risk model before reserving your longest journeys for diesel

Light traffic during the day time along a motorway.

Long journeys are often the first work fleets protect from electrification, and that can be sensible.

It can also become an assumption that survives long after vehicle capability, charging infrastructure or operating experience has changed.

Instead of classifying routes simply as EV or non-EV, fleets can build a more useful route-risk model.

The objective is to identify which duties genuinely require another powertrain, and which simply require better allocation.

Step 1: Measure energy intensity, not just distance

Start with comparable completed duties and establish how much energy they consume.

A useful measure is:

kWh per mile or kilometre by route type

Then segment the results.

Motorway-heavy work may perform differently from urban operation. Loaded vehicles may behave differently from lightly laden ones. Auxiliary equipment can create another distinct category.

The aim is to understand the energy requirement of the work itself.

That allows fleet managers to ask whether a particular vehicle has sufficient usable energy rather than relying on a generic range number.

Step 2: Understand variability

Two routes with the same average energy use can represent very different risks.

Route A might consistently consume between 55% and 60% of the battery.

Route B might average 58% but occasionally consume 80%.

Those routes should not be treated identically.

Look at:

  • Normal consumption
  • Higher-percentile consumption
  • Seasonal change
  • Exceptional high-energy journeys
  • Unexplained deviations

The variability tells you how much margin is actually required.

Step 3: Separate energy risk from recovery risk

Now ask what happens if conditions deteriorate.

Does the route pass reliable charging locations?

Could charging take place during an existing driver break?

Would using one add 10 minutes or 45?

Can another vehicle absorb the work if there is disruption?

A route with tight energy margins but excellent contingency may be operationally stronger than one with greater theoretical range but no recovery options.

Treat energy requirement and recoverability as separate measures.

Step 4: Add service criticality

Not every route deserves the same tolerance for risk.

A low-priority internal movement and a time-critical customer response should not automatically operate to the same reserve threshold.

Assign routes a service-criticality rating.

Then combine:

Energy margin + variability + recovery options + service consequence

This creates a much more useful operational risk profile.

Step 5: Grade duties rather than banning them

The result could be a simple allocation structure.

Routine EV duty

Strong energy margin, predictable consumption and manageable consequences.

Allocate normally.

Conditional EV duty

Suitable when state of charge, weather, payload or charging conditions meet defined thresholds.

The route is not inherently unsuitable — it simply requires a pre-dispatch check.

Managed long-range duty

Higher energy requirement, but viable with an identified charging or dwell strategy.

Allocate only to appropriate vehicles.

Exception duty

Energy demand or operational consequence currently makes electric allocation impractical.

Retain another powertrain or alternative solution for now.

This approach prevents the hardest 5% of journeys dictating the vehicle choice for the other 95%.

Step 6: Review the boundaries

A route classified as an exception today should not necessarily remain one indefinitely.

Review the model when:

  • New vehicles enter the fleet
  • Battery capability changes
  • Charging infrastructure improves
  • New public charging opens
  • Route patterns change
  • Operating experience provides better energy data

FleetWise has already highlighted that long-distance capability and charging infrastructure are improving on multiple occasions.

The important management response is therefore to make route classifications dynamic rather than permanent.

Step 7: Measure allocation quality

Once the framework is operating, track more than whether vehicles completed their work.

Useful measures could include:

EV completion rate
Percentage of allocated EV duties completed without unplanned charging or reallocation.

Average dispatch reserve
How much usable battery remains when vehicles finish their duty.

An extremely high figure may indicate excessive conservatism.

Exception rate
How often an apparently viable duty exceeds its expected energy requirement.

ICE substitution rate
How often a combustion vehicle is used because no EV meets the required allocation threshold.

Electric opportunity rate
Journeys completed by ICE that historical data suggests an available EV could safely have performed.

These measures show whether the fleet is genuinely pushing electrification to its sensible operating limit.

Make the difficult routes prove they are difficult

Long-distance work should not be electrified simply to meet a target.

Equally, it should not be permanently excluded because of an assumption made two years ago.

The more mature approach is to make every route demonstrate its operational requirements, quantify the risk and allocate the vehicle accordingly.

That changes range from a barrier into a constraint that can be managed.

And for many fleets, the next stage of electrification may not come from buying a vehicle with another 50 miles of headline range.

It may come from becoming much better at deciding which vehicle should perform which job.

If you landed on this page, make sure to check out parts one and two of this Better Fleet series.

Stop asking about range and ask about operational margin and why vehicle allocation could become a live optimisation decision.

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