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This book discusses all aspects of advanced engine technologies, and describes the role of alternative fuels and solution-based modeling studies in meeting the increasingly higher standards of the automotive industry. By promoting research into more efficient and environment-friendly combustion technologies, it helps enable researchers to develop higher-power engines with lower fuel consumption, emissions, and noise levels. Over the course of 12 chapters, it covers research in areas such as homogeneous charge compression ignition (HCCI) combustion and control strategies, the use of alternative fuels and additives in combination with new combustion technology and novel approaches to recover the pumping loss in the spark ignition engine. The book will serve as a valuable resource for academic researchers and professional automotive engineers alike.

Applied physical engineering --- Motorcars engineering --- Transport engineering --- Fuels --- ontsteking (autotechnologie) --- motorrijtuigen --- machines --- ingenieurswetenschappen --- auto's --- verbrandingsmotoren --- fossiele brandstoffen

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Philipp Bergmeir works on the development and enhancement of data mining and machine learning methods with the aim of analysing automatically huge amounts of load spectrum data that are recorded for large hybrid electric vehicle fleets. In particular, he presents new approaches for uncovering and describing stress and usage patterns that are related to failures of selected components of the hybrid power-train. Contents Classifying Component Failures of a Vehicle Fleet Visualising Different Kinds of Vehicle Stress and Usage Identifying Usage and Stress Patterns in a Vehicle Fleet Target Groups  Students and scientists in the field of automotive engineering and data science Engineers in the automotive industry About the Author Philipp Bergmeir did a PhD in the doctoral program “Promotionskolleg HYBRID” at the Institute for Internal Combustion Engines and Automotive Engineering, University of Stuttgart, in cooperation with the Esslingen University of Applied Sciences and a well-known vehicle manufacturer. Currently, he is working as a data scientist in the automotive industry.

Mathematical statistics --- Applied physical engineering --- Transport engineering --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- patroonherkenning --- elektrische auto's --- factoranalyse --- datamining --- hybridevoertuigen --- powertrain --- machine learning --- data mining --- motorrijtuigen --- KI (kunstmatige intelligentie) --- ingenieurswetenschappen --- auto's --- verbrandingsmotoren --- data acquisition --- optica