Engine test benches: calibration takes weeks of scarce bench time

Calibrating control maps takes weeks of bench time

What happens. A new engine or powertrain variant goes onto the bench, and engineers step through speed, load and temperature points to fill the control maps. The bench runs day and night and still the schedule is tight.

What it costs. Bench hours are expensive, and the engine under test is not available for anything else. Delays in calibration delay the launch.

Why the usual fix fails. Running more points makes the maps better but the time longer. Running fewer leaves gaps that show up later in the vehicle or on the customer’s site.

How a fixed-price remote diagnosis checks it. From past bench campaigns and the maps in use, I check how many measurements a model really needs and which points carry the information. The fixed-price remote diagnosis tells you whether a planned set of experiments with model-based calibration could cut the bench time for your next variant.

Background: Replacing hand-tuned parameter tables by a model

Thousands of map parameters are calibrated for every variant

What happens. Each variant has its own maps for injection, ignition, air path and torque, with thousands of parameters. Most are copied from the previous variant and corrected by hand where it behaves badly.

What it costs. This costs months of bench time per variant and ties up the few people who understand the interactions between the maps. Errors hide in tables nobody reads.

Why the usual fix fails. Better tooling for map editing makes the work faster but not smaller. Copying from the previous variant carries old compromises forward.

How a fixed-price remote diagnosis checks it. I look at your maps and calibration history and ask which parameters could be derived from a model of the engine instead of measured point by point. The fixed-price remote diagnosis shows whether model-based control can replace part of the tables, and what you would need to validate it.

Background: Replacing hand-tuned parameter tables by a model

Calibration of engines and exhaust after-treatment is hard to staff

What happens. Engineering teams that calibrate engines and exhaust after-treatment, and add new control functions, need people who know both the bench and the control theory. Such people are rare, and the work comes in peaks.

What it costs. Projects wait for capacity, and test benches that are booked stand idle when the right engineer is missing.

Why the usual fix fails. Hiring permanently for a peak is hard to justify; training a calibrator in model-based methods takes longer than a project lasts.

How a fixed-price remote diagnosis checks it. As an external check, I review one of your calibration datasets and the control function you want to add. The fixed-price remote diagnosis tells you whether a model-based approach would shorten the calibration for this engine and what your own team could carry on with afterwards.

Background: Replacing hand-tuned parameter tables by a model