Simulations far beyond basic checks.
We integrate mechanical, electrical, and thermal FEM analysis to build a complete understanding of your product’s behavior under real operating conditions.

Internal layout / busbar contribution
Stray Inductance assessment

Die position layout / Cooling system efficiency
Thermal simulation

Matrix of RLC parasitic of the module
Parasitic partial contribution

Die predictive / DPT / VHF ringing
Spice model development

Assy process steps / Reliability simulation
Thermo-mechanical simulation

Parasitic losses / Joule heating
Electro-Thermal simulation
Full-Spectrum Simulation and Modeling for Optimized Design
We cover every critical aspect, including Rth/Zth characterization, cross-talking evaluation, RLC modeling, and CFD analysis, to optimize designs from the ground up.
This holistic approach allows us to anticipate issues early, reduce prototyping cycles, and accelerate time-to-market without compromising on quality or reliability.
Behavior & Lifespan prediction
Reliability isn’t just tested — it’s engineered.
By simulating components and systems vs specific mission profiles, we forecast performance evolution over time, enabling informed design decisions and long-term stability.
Our predictive models help identify potential degradation mechanisms, thermal stresses, and electrical drifts before they occur in the field. This ensures final products are robust, efficient, and built to exceed lifetime expectations, even in the most demanding environments.
Key Objectives
Design Optimization: Fine-tune the design parameters for peak performance.
Thermal Management: Predict and manage heat dissipation.
Stress Testing: Evaluate durability under extreme conditions.

Benefits
Cost Efficiency: Reduces the need for physical prototypes drastically reducing trial and error approach
Time Savings: Accelerates the development cycle.
Risk Mitigation: Identifies potential failures before production

From concept to reality
Developing a detailed virtual model to anticipate the power module’s behavior across operating scenarios and confirm performance targets.
