Better Fleet: A practical playbook for reducing EV cost uncertainty

1. Start with your real operating profile, not generic assumptions

Decisions are often based on averages rather than how the fleet actually runs. The starting point should be your real-world duty cycle – how far vehicles travel, where they operate, and how they’re used across the day.

That includes:

  • daily mileage and route type (urban, motorway, mixed)
  • dwell time between jobs
  • payload and utilisation patterns

Without that baseline, cost comparisons are theoretical rather than operational.

2. Build a single, connected TCO model

One of the biggest causes of uncertainty is fragmented data.

Fuel or energy costs, maintenance, utilisation and driver behaviour often sit in separate systems. That makes it difficult to understand true cost per mile, especially when comparing EVs with ICE.

Tools to explore:

  • Webfleet EV Transition Tool – scenario modelling and EV suitability
  • Volteum EV TCO Calculator – detailed cost forecasting
  • Geotab / Samsara – unify operational and vehicle data

3. Model charging as a mix, not a headline rate

Fleets rarely rely on a single charging type. The reality is a mix – depot, home and public – each with different costs. The blend of these determines actual cost per mile.

Rather than using a single p/kWh figure, model:

  • where vehicles actually charge
  • how often they rely on public infrastructure
  • how behaviour and routing affect charging patterns

Tools to explore:

  • Zapmap – real-world pricing and network visibility
  • Paua – consolidated public charging costs
  • Allstar – blended energy cost tracking

4. Use nearly-new EVs to reduce financial exposure

When confidence is low, reducing exposure is key. Nearly-new EVs allow fleets to step in after the steepest depreciation, lowering monthly costs and limiting residual risk.

The growing supply of off-lease EVs is making this a viable strategy. Compiled with insight from Top Gear and AutoTrader, strong used EV options include:

5. Use funding models to stabilise cost

How you fund vehicles is just as important as what you choose.

Leasing and salary sacrifice models are increasingly being used to reduce upfront capital exposure, remove residual value risk and create predictable monthly costs.

Providers to explore:

6. Validate battery risk with real data

Modern EVs typically retain the vast majority of their range over time, with failure rates extremely low. The issue isn’t performance, it’s confidence.

Fleets can reduce that uncertainty by checking battery health reports, validating warranty coverage and using real-world performance data. 

Tools and services to explore:

7. Run controlled EV trials before scaling

Many fleets are avoiding large upfront commitments and testing first. Trials focused on predictable routes allow operators to measure:

  • real-world energy cost
  • operational fit
  • driver experience

Where to start:

8. TCO isn’t all about the car

While this edition focuses on EV costs, a large part of total cost sits elsewhere. Driver behaviour directly affects energy use, tyre wear and maintenance. Even with the right vehicle, inefficient driving can erode expected savings.

Tools to explore:

  • Lightfoot – in-cab feedback and gamification
  • Webfleet – performance tracking and coaching
  • Samsara – real-time driver insights

The key point: EV cost is only one part of TCO. Ongoing operational control is what determines whether savings are actually delivered.

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