onsemi launches power electronics simulation tools

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onsemi has announced what it says is a breakthrough in simulation tools for its EliteSiC Silicon Carbide (SiC) product family and its applications.

The company said that the new online Elite Power Simulator and Self-Service PLECS Model Generator are able to provide insights for complex power electronic applications through system-level simulations at an early stage of the development cycle. The tools save power electronic engineers time by providing state-of-the-art accurate simulation data enabling EliteSiC product selection tailored to customer applications, instead of time-consuming hardware fabrication and testing.

Users will benefit from greater flexibility and will be able to create high-fidelity system-level PLECS models when the Elite Power Simulator is deployed in conjunction with the Self-Service PLECS Model Generator. Whether uploaded to onsemi’s Elite Power Simulator or downloaded for direct use, the self-service PLECS models deliver the accuracy required for demanding power electronic simulations.

The models are generated based on typical or worst-case conditions to let the customer design within the technology boundaries. The capability to define application-specific parasitics ensures that the generated PLECS models provide highly accurate results for the customer’s system-level simulations.

To date, system-level simulators and their associated PLECS models have only been valid for hard switching topologies, with simulation results for soft switching applications such as LLC (inductor-inductor-capacitor) or CLLC (capacitor-inductor-inductor-capacitor) being highly inaccurate. onsemi’s PLECS models break this trend and helps solve this problem for customers.

“This is a significant step for the industry, increasing its ability to get both hard and soft switching designs to market quickly,” said Asif Jakwani, senior vice president and general manager of the Advanced Power Division, which is part of the Power Solutions Group at onsemi. “Our tools enable our customers to understand how our devices perform in their application environment and fully optimise the performance within the boundaries of the technology.”