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Erschienen in:
2018 | OriginalPaper | Buchkapitel
Introduction
verfasst von : Philipp Bergmeir
Erschienen in: Enhanced Machine Learning and Data Mining Methods for Analysing Large Hybrid Electric Vehicle Fleets based on Load Spectrum Data
Verlag: Springer Fachmedien Wiesbaden
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Nowadays, modern vehicles, like hybrid electric vehicles (HEV), are equipped with many electronic control units (ECUs) such as an engine control unit or a battery management system (BMS). In general, among the main tasks of such a unit are monitoring the state of a component, controlling various of its functions, and protecting it from abnormal use. For this purpose, an ECU reads data that are measured by sensors and calculates control values and statistics that describe the component’s load, e.g., load spectrum data [61], based on the sensor input.