00:01Preventive Anomaly Exploration, a particularly innovative data analysis method for high-voltage
00:06batteries.
00:08Applied for the first time in the Porsche Moran, it can be used to detect data anomalies,
00:13i.e. conspicuous or unexpected patterns in the data and, if applicable, their technical
00:17causes.
00:19This ensures the long-term performance of the high-voltage system and generates insights
00:23for the development of subsequent products.
00:27A closer look at the technology.
00:30Anomaly Exploration uses detectors that, for example, detect changes in battery behavior
00:35with the help of intelligent algorithms.
00:38The detected anomalies are analyzed, clustered, and evaluated in a cloud.
00:44The data can be recorded while driving and while charging.
00:48The system continuously learns in the process.
00:52Particularly impressive is that the method can individually evaluate the data of each
00:56individual cell of the battery.
00:57Of the anomalies identified so far, all have proven to be uncritical and explainable.
01:04They can be traced back to the typical behavior of new batteries.
01:09However, should a relevant anomaly occur, Porsche proactively informs the driver, including
01:14specific instructions for action, for example via the MyPorsche app.
01:17Preventive Anomaly Exploration aims to ensure the reliability and performance of vehicles and to predict
01:26potential limitations using data analysis methods.
01:29This makes the system one of the central components of quality work in the future.
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