Sökning: "Electric Machine Modeling"

Visar resultat 1 - 5 av 26 avhandlingar innehållade orden Electric Machine Modeling.

  1. 1. Electric Traction Machine Design for an E-RWD Unit

    Författare :Francisco Marquez; Industriell elektroteknik och automation; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Electric Traction Machines; Permanent Magnet Machines; Laminated Winding Machines; Hybrid Electric Vehicles; Electrical Machine Design; Electromagnetic Modeling; Thermal Modeling; Finite Element Analysis.;

    Sammanfattning : Since the first generation of the Toyota Prius was introduced in December 1997, the number of Hybrid Electric Vehicles (HEVs) and pure Electric Vehicles (EVs) available in the market has increased substantially. The growing competition existent puts high demands on the electric system as well as the rest of the vehicle. LÄS MER

  2. 2. Design and Control of Electrically Excited Synchronous Machines for Vehicle Applications

    Författare :Junfei Tang; Chalmers tekniska högskola; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Electric Machine Modeling; Electric Machine Design; Brushless Excitation; Electric Machine Control; Electric Drives; Electrically Excited Synchronous Machines;

    Sammanfattning : Electrically excited synchronous machines (EESMs) are becoming an alternative to permanent magnet synchronous machines (PMSMs) in electric vehicles (EVs). This mainly attributes to the zero usage of rare-earth materials, as well as the ability to achieve high starting torque, the effectiveness to do field weakening and the flexibility to adjust power factor provided by EESMs. LÄS MER

  3. 3. Applied Machine Learning in Steel Process Engineering : Using Supervised Machine Learning Models to Predict the Electrical Energy Consumption of Electric Arc Furnaces

    Författare :Leo Carlsson; Pär Jönsson; Peter Samuelsson; Mikael Vejdemo-Johansson; Henrik Saxen; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Electric Arc Furnace; Electrical Energy Consumption; Statistical Modelling; Machine Learning; Interpretable Machine Learning; Predictive Modelling; Industry 4.0; Ljusbågsugn; Elenergiförbrukning; Statistisk Modellering; Maskininlärning; Tolkningsbar Maskininlärning; Prediktiv Modellering; Industri 4.0; Teknisk materialvetenskap; Materials Science and Engineering; Metallurgical process science; Metallurgisk processvetenskap;

    Sammanfattning : The steel industry is in constant need of improving its production processes. This is partly due to increasing competition and partly due to environmental concerns. One commonly used method for improving these processes is through the act of modeling. LÄS MER

  4. 4. Synchronous Machines with High-Frequency Brushless Excitation for Vehicle Applications

    Författare :Junfei Tang; Chalmers tekniska högskola; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Electrically Excited Synchronous Machines; Machine Modeling; Brushless Excitation; Machine Control; Machine Design; Electric Vehicles;

    Sammanfattning : Electrically excited synchronous machines (EESM) are becoming an alternative to permanent magnet synchronous machines (PMSM) in electric vehicle (EV) applications. This mainly attributes to the zero usage of rare-earth material as well as the capabilities of high starting torque and good field weakening provided by EESM. LÄS MER

  5. 5. Modeling, Optimization and Analysis of Electromobility Systems

    Författare :Gabriel Domingues; Industriell elektroteknik och automation; []
    Nyckelord :Electromobility; Electric Vehicles; Hybrid Vehicles; Charging; Modeling; Optimization;

    Sammanfattning : Due to an increase in environmental awareness and an improved understanding on the impact of human activity on our planet’s climate, there is a strong desire both from governments and the general public to reduce harmful pollution and emissions. This requires action on different fronts, like decarbonizing electricity generation, industrial activity and not least the transport sector. LÄS MER