Extracting & Validating MAF Sensor Scaling from a 2005 WRX Denso 16-Bit ECU

Extracting & Validating MAF Sensor Scaling from a 2005 WRX Denso 16-Bit ECU

When people talk about “tuning,” they usually jump straight to boost or ignition timing.

That’s a mistake.

If the MAF scaling isn’t correct, everything downstream lies — AFR targets, injector math, knock behavior, even load calculation. Before touching boost, before touching timing, before building AI tools, the airflow model has to be right.

So instead of guessing, we extracted and validated the factory MAF table directly from the ROM.

This is how you do it properly.

Step 1 — Lock the ROM Structure

ECU:
2005 USDM Subaru WRX
Denso 16-bit ECU
ROM ID: A4TF800F
File size: 160 KB

Critical structural rule confirmed:

file_offset = ecu_address − 0x8000

SubaruDefs describe full ECU memory space (192 KB).
ECUFlash dumps only accessible flash (160 KB).

That missing 0x8000 region is protected boot memory — not an error.

Once that translation rule was proven, table extraction became deterministic.

Step 2 — Raw MAF Extraction (No Scaling Assumptions)

We pulled raw 16-bit values from:

MAF Voltage Axis

MAF Airflow Table

First 15 voltage entries (RAW):

[254, 293, 336, 382, 433, 491, 556, 628, 704, 788, 877, 973, 1081, 1305, 1559]

That’s clean, monotonic data.

Scaling by 1000:

0.254 V → 1.559 V

Exactly what you expect at the lower end of a Subaru MAF curve.

Now airflow raw:

[12288, 12800, 13312, 13824, 14336, …]

Notice the pattern — increments of 512.

That immediately reveals airflow scaling:

airflow_gps = raw / 128

Example:

12288 / 128 = 96 g/s
12800 / 128 = 100 g/s

That matches Subaru’s typical scaling perfectly.

Step 3 — Detecting the Real Problem

Initial validation flagged:

Voltage monotonic: False

Airflow monotonic: False

Max Voltage: 63V (impossible)

Max Airflow: 600+ g/s (impossible for stock WRX)

That wasn’t a bad tune.

It was a bad assumption.

We were reading too many elements.

The table length had been hardcoded at 64.

The real MAF table length on this ROM is 48 elements.

After trimming to the correct boundary:

Voltage axis becomes perfectly monotonic

Airflow becomes perfectly monotonic

Maximum voltage ~4.7V

Maximum airflow realistic for stock turbo

That’s what proper extraction looks like.

Step 4 — Why This Matters

With stock injectors and 93 E10 fuel:

Injector scaling should remain factory

Latency should remain factory

Stoich should remain factory

If closed-loop trims move ±5%, that’s normal.

If trims drift further, MAF is the place to correct — not injectors.

Changing injector scaling to fix trims is amateur-level tuning.
Correcting measurement error is engineering.

Step 5 — Basemap Validation

We compared:

Stock ROM

Basemap reflash

Result:

MAF voltage axis: identical

MAF airflow scaling: identical

Injector scaling: unchanged

That means the basemap did not “tune around” hardware.

It’s a clean baseline.

That’s exactly what you want before building an AI-assisted calibration system.

Step 6 — What This Unlocks

Now that MAF is verified:

Load calculation is trustworthy

Open-loop fueling reflects real airflow

Knock events become meaningful

Long-term drift detection becomes possible

AI logic can operate on clean data

Without this step, everything is noise.

With it, everything becomes measurable.

The Bigger Vision

This isn’t about squeezing power.

It’s about building a system that:

Reads ROMs deterministically

Validates structural integrity

Extracts calibrated airflow models

Detects unsafe modifications

Applies bounded, stage-aware changes

The foundation is measurement accuracy.

Once airflow is correct, then — and only then — do you touch boost, fueling strategy, or timing.

Bottom Line

Before tuning power:

Tune truth.

On a 2005 WRX, that truth starts with the MAF sensor scaling.

And now it’s validated.

If you’d like, I can also generate:

A more aggressive “AI-powered tuning” version of this post

A technical deep-dive version with code snippets

Or a YouTube script version for your channel

What direction do you want to push the content next — authority, technical depth, or audience growth?

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