Patent · US Active

AI based error prediction for power conversion regulators

US12061507B2 · kind B2 · utility

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16Claims

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Assignee

Infineon Technologies Austria AG · AT

Inventors

Benjamin L. Schwabe · Munich, DE
Sandro Cerato · Schweinhub, DE
Salman Nazir · Munich, DE

Key dates

Filing date	Sep 16, 2020
Grant date	Aug 13, 2024
Priority date	—
Expiry date	May 12, 2042

Classification

Technology area (CPC H)Electricity
CPC primaryH02M3/1584
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

A power conversion regulator circuit comprises a regulator input dynamically supplied with a feedback signal representative of an output parameter of a power converter circuit, a regulator output configured to provide a control signal to the power converter circuit, for making adjustments to the output of the power converter circuit, and regulator circuitry configured to generate the control signal for outputting via the regulator output, based on the error signal. The circuit further comprises a processing circuit configured to (a) implement an artificial neural network comprising a plurality of artificial neurons, where the artificial neural network is configured to compute a machine-learning-based (ML-based) prediction of the output parameter, based on the feedback signal, and (b) generate the error signal based at least in part on the ML-based prediction of the output parameter and based on a target level for the output parameter.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.