Search for dissertations about: "variable compression"

Showing result 1 - 5 of 43 swedish dissertations containing the words variable compression.

  1. 1. The Performance of a Multi Cylinder HCCI Engine using Variable Compression Ratio and Fast Thermal Management

    Author : Jari Hyvönen; Förbränningsmotorer; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Motorer; framdrivningssystem; Variable Compression Ratio; Homogeneous Charge Compression Ignition VCR; termodynamik; Motors and propulsion systems; Termisk teknik; applied thermodynamics; Thermal engineering; Cylinder-to-cylinder; Turbocharging; Multi cylinder; Cylinder balancing; Thermal Management; HCCI;

    Abstract : The prime mover in the world today is the Internal Combustion (IC) engine. The development and improvement of the internal combustion engines since Nicolaus August Otto and Rudolf Diesel has continued until today and will continue long into the future. No major competitor to the IC engine has yet emerged. READ MORE

  2. 2. Closed-Loop Combustion Control of a Multi Cylinder HCCI Engine using Variable Compression Ratio and Fast Thermal Management

    Author : Göran Haraldsson; Förbränningsmotorer; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; CR; Motorer; framdrivningssystem; Motors and propulsion systems; Teknik; Technological sciences; Closed-Loop Combustion Control; CLCC; Multi cylinder; HCCI; Black box; System identification; State feedback; PID; LQG; Fast Thermal Management; FTM; VCR Variable Compression Ratio;

    Abstract : The current Spark Ignited (SI) engine equipped with three-way catalyst offers low emissions, but has low efficiency at part load, which results in unnecessarily high CO2 emissions. The Compression Ignited (CI) engines have higher efficiency and hence lower CO2 emissions, but suffer from higher Nitrogen Oxide (NOx) and Particulate Matter (PM) emissions, and no three-way catalyst can be used. READ MORE

  3. 3. Modelling for Fuel Optimal Control of a Variable Compression Engine

    Author : Ylva Nilsson; Lars Eriksson; Lars Nielsen; Richard K. Stobart; Linköpings universitet; []
    Keywords : ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; combustion engine; modelling; Vehicle engineering; Farkostteknik;

    Abstract : Variable compression engines are a mean to meet the demand on lower fuel consumption. A high compression ratio results in high engine efficiency, but also increases the knock tendency. On conventional engines with fixed compression ratio, knock is avoided by retarding the ignition angle. READ MORE

  4. 4. Modeling of a Free Piston Energy Converter

    Author : Jakob Fredriksson; Chalmers University of Technology; []
    Keywords : Free piston engine; detailed chemistry; variable compression; computational fluid dynamics CFD ; combustion;

    Abstract : ABSTRACTThe Free Piston Energy Converter (FPEC) is a new type of automotive prime mover, offering high efficiency in conjunction with low emissions. The FPEC essentially consists of two opposing cylinders with a linear alternator incorporated in-between that produces electric power directly. READ MORE

  5. 5. Multi-LSTM Acceleration and CNN Fault Tolerance

    Author : Stefano Ribes; Chalmers University of Technology; []
    Keywords : NATURVETENSKAP; TEKNIK OCH TEKNOLOGIER; NATURAL SCIENCES; ENGINEERING AND TECHNOLOGY; Compression; SVD; LSTMs; CNNs; Fault Tolerance; Machine Learning; FPGA; Roofline Model; HLS; Caffe;

    Abstract : This thesis addresses the following two problems related to the field of Machine Learning: the acceleration of multiple Long Short Term Memory (LSTM) models on FPGAs and the fault tolerance of compressed Convolutional Neural Networks (CNN). LSTMs represent an effective solution to capture long-term dependencies in sequential data, like sentences in Natural Language Processing applications, video frames in Scene Labeling tasks or temporal series in Time Series Forecasting. READ MORE