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No, Title
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SCD 4.3: Intelligent Battery by AI
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Leader
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FHG
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Contributing Partners
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Description
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Fraunhofer developed an AI powered algorithm to detect temperature sensor anomalies within a battery system. Potentially anomalous temperature sensors are detected based on the analysis of measured temperatures in a battery module and comparison to a temperature sensor model, which is obtained by dynamic mode decomposition.
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Deployment/utilization
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The developed algorithm was deployed on an edge device with the Azure IoT Edge Runtime as basis. The edge device was integrated into the demonstrator vehicle and connected via CAN to the battery management system. The developed algorithm is triggered event-based and after each successful execution, the sensor status and output data of the developed algorithm are sent via Wifi to an Azure storage service for subsequent processing and alarm handling.
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Pictures/visuals with titles
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