Embedded Intelligence, powered by real-time digital twins, is an optimal software solution to complement or replace physical sensors, providing continuous thermal awareness and predictive control across the drivetrain lifecycle, without any hardware change.

Alternative technologies, such as 1D thermal networks, often involve greater trade-offs in terms of accuracy and computational power.

These limitations compromise the reliability of the solutions, requiring engineering teams to apply larger safety margins.

EI provides superior accuracy with lower computational demands, ensuring a more reliable and optimized solution.

A virtual thermal sensor is a specialized multiphysics model embedded in the microcontroller of a component. It operates in real-time by providing input directly to closed-loop control strategies, enabling immediate actions, predictions and adjustments.

To achieve real-time, high-resolution simulations without compromising accuracy, two types of data are typically needed: simulation and test bench data.

Our methodology and tools are designed to be highly flexible and compatible with a wide range of simulation tools.

The [EI] is delivered as a state-space model, ensuring compatibility with various systems. It can be exported in multiple formats, making integration into the final firmware straightforward and efficient.