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An AI algorithm acceleration system and method for real-time junction temperature prediction of IGBTs

PendingCN122086703ASolve the inherent difficulties of dependencyAdapt to deployment needsResource allocationHardware monitoringData displayAlgorithm
This invention provides an artificial intelligence algorithm acceleration system and method for real-time junction temperature prediction of IGBTs, including a parameter acquisition module, an artificial intelligence algorithm acceleration module, and a host computer. The parameter acquisition module is used to acquire the saturated on-state collector-emitter voltage VCE(Sat), collector current IC, and substrate temperature TC during IGBT operation. The artificial intelligence algorithm acceleration module is based on a Zynq7000 series FPGA to build a SoC architecture, integrating a dual-core ARM Cortex-A9 processor and a dedicated neural network processor (NPU). The host computer is used to receive the junction temperature prediction results and raw acquired parameters transmitted by the artificial intelligence algorithm acceleration module, enabling real-time data display, historical data storage, junction temperature anomaly alarms, and model parameter calibration. This invention aims to solve the high latency, high communication cost, and data privacy issues of cloud computing solutions through collaborative optimization design of algorithms and hardware, while simultaneously overcoming the bottlenecks in computing power, energy efficiency, and accuracy of existing edge computing platforms.
Owner:STATE GRID FUJIAN ELECTRIC POWER CO LTD +1