Technology

Embedded intelligence

What is the Embedded Intelligence?

It is a software solution, powered by real-time Digital Twins, that can be directly integrated into the system, providing continuous thermal awareness and predictive control across the entire drivetrain lifecycle.

ProgramsPrograms

#001Multiphysics modeling

Full order model

#002From FOM to ROM

Select ROM criteria

#003Reduced order model

Parametric ROM

#004From ROM to test bench

Select calibration criteria

#005ROM reconciliation with test bench

Calibration

#006Model as manufactured

Calibrated ROM optimization

#007 AI integration

Discrepancy modeling

#008Final code optimization

Prepare to embed

#009Implementation of the Virtual ensor into a microcontroller control loop

Challenges

#001
Thermal blindness:
Conventional simulation tools cannot accurately capture dynamic temperature variations within motors and inverters, leading to uncertain performance predictions.
#002
Overengineering:
Manufacturers are forced into overly conservative design choices, extended development timelines, and escalating costs across the entire R&D and production lifecycle.
#003
Slow and manual model validation:
Significant discrepancies often emerge between simulated and real-world test data, requiring labor-intensive calibration processes that can take weeks to complete.
#004
Limited design adaptability:
Each application or operating condition typically requires a full redesign or extensive revalidation of models, slowing down product diversification.

Solution

#001
EI for Real-time:
Validated through test-bench experiments, our software solution provides real-time models of components’ key aspects, such as temperature, flow rate, and cooling, enabling adaptive and advanced control strategies.
#002
EI for Calibration:

Calibration of models with experimental data reduces tuning time from weeks to hours, thanks to the capability of reaching a faster and more accurate convergence between the model and the test bench, reducing the number of prototypes and accelerating the go-to-market phase.
#003
EI for advanced control:

Advanced control algorithms, that are modular and easy to implement, provide the user with direct and continuous control over the drivetrain, enabling smarter decision-making to prevent thermal derating, improve efficient energy consumption, and extend component lifetime.

Use cases

What is it for

In e-powertrains, temperature is the dominant constraint, setting the limits for torque, speed, current, and overall performance. In these use cases, we will show the results we achieved on the hot-spots where overcoming thermal blindness matters most: stator winding insulation, rotor magnets, semiconductor junctions, and more. Thanks to [EI], directly integrated into the system, we can achieve complete control and thermal awareness across all components.