E-drivetrain measurements to insights

A 4-step approach to transform multiphysics e-drivetrain measurements into meaningful initial engineering insights

Electric drivetrain programs generate massive amounts of multiphysics data — yet many teams still struggle to turn it into trusted engineering decisions. This article presents a proven 4‑step approach to transform raw electrical, mechanical, and vibration measurements into validated, correlated, and repeatable insights, using a unified Simcenter Testlab workflow from measurement to decision.

Unlock testing excellence: Your monthly Simcenter Physical testing update | March 2026

Discover the latest news from Simcenter Physical Testing that are transforming the way engineers approach testing. Check back regularly as we continuously update this blog with the freshest Simcenter Physical Testing news, tips, and insights.

Simcenter Physical testing: Valuable monthly archive older than 12 months

This newspaper archive provides access to Simcenter Physical testing blog articles overview published prior to the most recent 12 months….

Using AI for wheel force measurement

Wheel force measurement is essential, but it doesn’t need to be so expensive thanks to AI

This blog post was co-written with Wouter Vandermeulen, principal engineer for Simcenter Engineering Services. Understanding the forces on wheels is…

Farewell physical prototypes? Digitalize your vehicle development process with Simcenter Testlab NVH Simulator

New electric vehicle OEMs in China are taking new vehicle models from concept to production twice as fast as legacy OEMs….

Accelerate EV Geartrain NVH Simulation: 5x Faster with Simcenter 3D Motion

Why NVH performance matters The electric vehicle (EV) revolution is here, promising a cleaner, more efficient future for transportation. But…

The rocket that refused to behave – The ultimate guide to spider element automation for rocket and aerospace structures

How one engineer wrestled misaligned interfaces, unexpected modes, and stubborn joints into submission — with help from Simcenter 3D The…

Test data consolidation

Streamlining data: Efficient test data consolidation with Simcenter Testlab

As test engineers, we gather immense amounts of information from proving grounds and public roads alike. While acquiring this data is crucial, the real challenge often emerges afterward: data consolidation. Traditionally, this means manually sifting through hours of recordings, segmenting them, and wrestling with inconsistent naming conventions. This isn’t just tedious; it’s a significant bottleneck, consuming valuable engineering time and introducing errors that hinder analysis.
What if you could automate this entire process? Imagine long recordings intelligently segmented with GPS precision, and runs automatically named with clear, descriptive conventions, even incorporating dynamic suffixes for specific driving maneuvers. Read how Simcenter Testlab allows you to do test data consolidation efficiently.

The inaugural AI master class 2026: Unlock competitive advantage with your physical test data

Unlock the power of your engineering test data in this three‑day AI master class. Build practical AI workflows, improve NVH and durability processes, and boost innovation through hands‑on training. Read this blog to learn more and register to accelerate your AI‑driven engineering future.