16 Mar 2026
Electromagnetic Damper Test System – EMA
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Precision. Power. Intelligence. The LABA7 EMA (Electromagnetic Actuated) damper test system is the pinnacle of suspension testing technology. By utilizing advanced linear motors instead of traditional hydraulics, the EMA eliminates oil compressibility and seal friction, delivering pure, noise-free data. Recently upgraded with Torque-Based Testing and CCD/CDC capabilities, it is the only platform capable of fully characterizing the next generation of active suspension systems.
Key Features
- Beyond standard displacement protocols, the EMA now performs advanced torque-based testing. This allows for precise friction characterization, seal drag measurement, and constant-force simulation, providing deeper insights into internal damper mechanics.
- Fully compatible with Continuous Damping Control (CDC) and semi-active suspension systems. The EMA allows you to drive electronic valves and simulate ECU inputs in real-time, bridging the gap between hardware testing and software calibration.
- Direct-drive actuation ensures zero mechanical play, allowing for complex waveforms like Pink noise, Chirp, and Square waves that hydraulic systems cannot replicate.
- Import telemetry data directly to simulate specific racetracks (e.g., Nürburgring, Monaco) in the workshop, solving handling issues before the car returns to the track.
- Unique to LABA7, the system uses supercapacitor packs to store energy, allowing high-power testing (up to 120kW peak) while running on a standard domestic grid.
| Specification | Value |
| Max Velocity | 7 m/s |
| Peak Force | Up to 40 kN |
| Position Resolution | 50 nanometers |
| Sampling Rate | 20 kHz (Synchronized) |
| New Capabilities | Torque-Based Testing, CCD/CDC Support |
| Stroke | 250 mm |
Why Choose EMA?
Traditional dynos are built for durability; the LABA7 EMA is built for discovery. Whether you are fine-tuning a damper, developing an OEM active suspension algorithm, or analyzing hysteresis with torque-based protocols, the EMA provides the granular data accuracy needed to lead the field.
