Alessandra Daniele
Anomalies detection in high voltage batteries of hybrid and electric vehicles.
Rel. Ezio Spessa, Daniela Anna Misul, Federico Miretti, Matteo Acquarone. Politecnico di Torino, Corso di laurea magistrale in Automotive Engineering (Ingegneria Dell'Autoveicolo), 2024
Abstract
The thesis, developed in collaboration with GKN Automotive (Lohmar, Germany), presents the implementation of an analytical procedure designed for assessing and monitoring the behavior of high-voltage components within the driveline of electric and hybrid vehicles. The main goal is to identify potential anomalies or damage by analyzing significant parameters to improve vehicle safety and reliability. The motivation for this work originates from the need for a reliable diagnostic tool to be introduced during the development phase of prototype vehicles, where malfunctions and operational issues are more likely to occur. The process begins with the investigation of common faults in high-voltage components, such as inverters, electric machines, and battery packs, with a focus on their causes and effects.
The literature review provided insight into the driving conditions that exacerbate these issues and the most used methods to detect and predict faults
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