AACE Class 3 cost modeling
for battery cells.

A cell BOM cost estimate is only as trustworthy as the methodology behind it. Here's what AACE Class 3 means, why mass & energy balance closure matters, and how Wensura joins live materials pricing to the model.

What "techno-economic analysis" actually means here.

Techno-economic analysis (TEA) is the practice of costing out a manufacturing process from its underlying engineering — material flows, process steps, equipment, labor, and yield — rather than from a rough analogy to a similar product. For a battery cell, that means starting from the cathode, anode, electrolyte, separator, and cell-assembly steps, and building the per-kWh cost up from there. The result is a number you can defend line by line, not a benchmark pulled from a press release.

Cost estimates aren't all built to the same rigor, though, which is where AACE International's classification system comes in.

The AACE cost-estimate classes, Class 5 to Class 1.

AACE ranks estimates by how much engineering definition backs the number. More definition means a tighter accuracy range, and more work to produce.

C5

Order of magnitude

Minimal process detail. Rough screening only.

-30% / +100%
C4

Study estimate

Enough detail for feasibility studies and concept comparison.

-20% / +50%
C3

Budget authorization

Process-level mass & energy balance. Supports capex screening and pre-FID decisions. This is where Wensura's demo model lands.

-20% / +30%
C2

Control estimate

Detailed engineering, used to set project budgets and control costs.

-10% / +20%
C1

Definitive estimate

Complete engineering. Used for final investment decisions.

-5% / +10%

Class 3 is the sweet spot for the decisions R&D and strategy teams actually make day to day: is this chemistry worth pursuing, does this capex clear the bar, what should we push for in a supplier negotiation. It's detailed enough to defend to a board, without requiring a finished plant design first.

From mass balance to per-kWh cost.

Three things have to be true for a Class 3 estimate to be trustworthy, not just plausible.

01 · Closure

Mass & energy balance

Every input — active material, electrolyte, packaging — is reconciled against the finished cell plus process losses. Energy consumption is tracked per process step. Without closure, a cost model can silently double-count or drop material flows.

02 · Structure

Cost waterfall

Cathode, anode, electrolyte, separator, current collectors, cell housing, manufacturing labor, and pack integration are each costed independently, then summed. You can see exactly which line moved and why.

03 · Currency

Live price join

The cost stack isn't static. When cobalt, nickel, or lithium spot or contract prices move, the cathode segment — and the total — recompute against the current price, not a quarter-old snapshot.

A price moves. The cost stack rebuilds.

Pick a market scenario below — the same recompute engine behind the homepage demo, run against a Class 3 model for NMC-811 on the public BatPaC 5.2 reference basis.

Preview
Reference prices · NMC-811 · BatPaC 5.2 pack basis
$100.92
per kWh · pack level
baseline
Anode (graphite): $8.60 / kWh
Preview · Process & TEA in build BatPaC 5.2 reference stack (NMC-811 · graphite) · metal pass-through per BatPaC's CAM cost tool · illustrative demo

What's live, what's in build.

Market Data — time-series materials & precursor pricingLive
Battery Base — multi-model cross-checked copilotLive
Process & TEA — AACE Class 3 wizard, cost waterfall, live recomputeIn Build

Design partners run their real cell BOM through the Process & TEA module during a 2-week NDA-covered pilot. See pricing or bring your chemistry to a demo call.

Questions about the methodology.

What is an AACE Class 3 estimate?

A cost estimate built on process-level mass & energy balance detail, accurate to roughly -20%/+30%. It supports capex-screening and pre-FID decisions without requiring a complete plant engineering design.

What does mass & energy balance closure mean?

Every material and energy input is reconciled against the finished cell plus process losses. Closure is what makes the resulting per-kWh number defensible rather than a rough guess in spreadsheet form.

Which chemistries are supported?

The current demo model runs NMC-811 on the public BatPaC 5.2 reference basis. LFP, NMC-622, NCA, and custom chemistry inputs are on the near-term roadmap.

How does live pricing recompute work?

The materials pricing corpus is joined directly to the cell BOM inputs. When a tracked commodity moves, the cost stack recomputes in seconds — no manual spreadsheet rebuild.

Run this against
your actual cell chemistry.

15 minutes, no slides. Bring your BOM — we'll show the cost waterfall live.

Book a 15-min Demo