Invention Grant
- Patent Title: ML-based phase current balancer
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Application No.: US16841213Application Date: 2020-04-06
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Publication No.: US11646748B2Publication Date: 2023-05-09
- Inventor: Benjamin Schwabe , Salman Nazir , David Williams
- Applicant: Infineon Technologies Austria AG
- Applicant Address: AT Villach
- Assignee: Infineon Technologies Austria AG
- Current Assignee: Infineon Technologies Austria AG
- Current Assignee Address: AT Villach
- Agency: Murphy, Bilak & Homiller, PLLC
- Main IPC: H03M1/48
- IPC: H03M1/48 ; H03M1/12 ; H02M3/04

Abstract:
A machine learning (ML)-based phase current balancer for a multiphase power converter includes one or more inputs, one or more outputs, and an artificial neural network. The artificial neural network includes a plurality of artificial neurons and is trained to provide corrective phase current imbalance information at the one or more outputs for correcting phase current imbalance within the multiphase power converter, based on information available at the one or more inputs and indicative of individual phase currents of the multiphase power converter.
Public/Granted literature
- US20210312275A1 ML-Based Phase Current Balancer Public/Granted day:2021-10-07
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