Free estimator

Battery Wear Estimator

Estimate whether a battery strategy is making enough value to justify the wear it creates. Use it for arbitrage or storing solar for later, without pretending anyone knows your battery's exact ageing.

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No login required Two scenario modes Break-even thresholds Plain-English verdict
Scenario

Pressure-test a battery strategy

Then tune the assumptions below. Results update instantly.

Inputs

Tune your assumptions

Adjust any value — results update instantly.

Battery basis

What the battery is worth and how much usable energy you are cycling.

Lifetime basis

Choose warranty throughput or expected cycle life.

Wear adjustments

Optional coarse lifetime multipliers.

Scenario values

Pricing inputs for your chosen scenario.

Guardrail: This estimator does not infer battery health, SOH, or provider-specific degradation from telemetry. It only turns your assumptions into a transparent economic estimate. Currency is shown in AUD.
Assumptions

What this estimator is and is not doing

Included in the estimate

Wear cost = replacement value divided by lifetime usable throughput. Scenario economics then compare that wear cost against charging losses and the later value you entered.

  • Usable battery capacity
  • Replacement value
  • Throughput or cycle-life basis
  • Average depth of discharge
  • Round-trip efficiency
  • Optional temperature and usage adjustment

Not included

  • Live battery health measurement
  • Exact SOH or real degradation tracking
  • Provider-specific telemetry depth assumptions
  • Temperature modelling beyond a simple multiplier
  • Finance, incentives, or outage backup value
  • Retailer-specific fees beyond your inputs

How to use the result

If the verdict is borderline, the real answer is probably tariff-specific rather than obvious. Use this to find whether the wear-adjusted margin is clearly positive, clearly weak, or sitting too close to break-even to be confident.

Estimator FAQ

Common questions about the wear model

The point is to make the economics easier to reason about, not to overclaim certainty.

Does this estimate my battery's real health?
No. This page is an economics estimator only. It does not measure state of health, infer true degradation from telemetry, or claim exact ageing for your battery.
What changes the result most?
The biggest levers are replacement value, lifetime throughput or cycle-life assumptions, usable battery capacity, average depth of discharge, and the price difference between now and later.
Why does efficiency affect the break-even threshold?
Because storing energy and getting it back later is lossy. A battery strategy has to cover both the energy lost through efficiency and the wear cost before it is genuinely worth doing.
Should I treat the verdict as exact?
No. Treat it as a quick decision aid. If the result is close to break-even, the practical answer depends heavily on your tariff shape, cycle frequency, and the battery warranty details behind your assumptions.
Next step

Want to move from rough economics to live operating value?

Use the wear estimator to check whether the margin is real, then use SoCrates to model or automate the battery behavior with live tariffs, forecasts, and real rules.

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