Fleet decarbonisation economics are determined by the workload, not the drivetrain label. Diesel, battery-electric and hydrogen vehicles should be compared against route length, payload sensitivity, charging or refuelling time, depot power, vehicle utilisation, residual value, driver cost and infrastructure risk. Battery-electric vehicles can be compelling on predictable return-to-base routes, while hydrogen may be relevant where range, payload, refuelling time or depot constraints make battery operation difficult. The transition case should be built from operating data before vehicle procurement.
Key takeaways
The right comparison is workload-adjusted cost, not vehicle headline cost.
Depot charging economics depend on power capacity, dwell time and tariff structure.
Payload loss matters when it creates extra trips, extra vehicles or lost revenue.
Hydrogen remains a specialised option unless fuel price, uptime and infrastructure confidence are credible.
Low route-data quality creates false precision in fleet transition models.
Operational comparison
Factor
Diesel
Battery-electric
Hydrogen
Energy cost exposure
Fuel price
Electricity tariff and charging model
Delivered hydrogen price
Vehicle capex
Lowest current baseline
High but falling
High and immature
Refuelling or charging time
Low
Can be operationally material
Low if station access is reliable
Infrastructure dependency
Mature network
Depot or public charging
Station uptime and coverage
Payload sensitivity
Baseline
Battery mass can reduce payload
Usually lower payload penalty than BEV
Best fit
Flexible operations
Predictable return-to-base routes
High-utilisation routes with infrastructure confidence
Threshold logic
Threshold
Interpretation
Next action
Depot power is available and routes sit within practical BEV range
Battery-electric economics may be testable
Run route-level TCO and depot charging scenarios.
Payload loss creates extra trips or vehicles
Headline TCO is incomplete
Run payload calculator and workload-adjusted TCO.
Public rapid charging is regularly required
Electricity cost and downtime risk rise
Model driver time, charging cost and utilisation loss.
Hydrogen price cannot be contracted in a tolerable band
FCEV case remains speculative
Require fuel pricing and station uptime assumptions before pilot.
Route data is weak
Detailed modelling creates false precision
Use readiness scoring before detailed procurement decisions.
Calculator workflow
Use the fleet readiness score to check whether the operating model is ready for detailed analysis.
Use the battery payload calculator for payload-sensitive HGV cases.
Use the fleet TCO calculator for workload-adjusted economics.
Use break-even analysis when mileage, energy price or ownership period drives the result.
Fleet transition is a commercial adoption problem before it is a procurement exercise. The Seven Barriers framework points to market adoption as the decisive test because operators buy dependable workload capacity, not drivetrain potential. A technically credible vehicle can still fail if it changes route planning, payload, depot operations or financing in ways the customer cannot absorb. Commercialisation therefore depends on proving the full operating proposition against real fleet data and turning that evidence into a repeatable buying decision.
If the decision depends on route data, depot constraints, payload, charging windows, hydrogen access or board-level investment risk, the useful next step is to test the operating assumptions before procurement.