Casprod
  • About
  • Universities
    • University of Ljubljana, Faculty of Mechanical Engineering
    • University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture
    • TU Wien, Faculty of Mechanical and Industrial Engineering
  • Curriculum structure
    • 1ST SEMESTER: UNIVERSITY OF ZAGREB
      • Computer Integrated Product Development
      • Mechatronics and Sensors Sytems
      • Digital Manufacturing Systems
      • Advanced Engineering Informatics
      • Innovation Management in Product Development
      • Design for Sustainability
      • Quality Management in Engineering
      • Biomimetic Systems and Humanoid Robotics
      • Advanced Materials
      • Electric and Hybrid Vehicles
      • Engineering Logistics
    • 2ND SEMESTER: UNIVERSITY OF LJUBLJANA
      • Data modelling
      • Big data analysis
      • Information Security and Privacy
      • Assembly and Handling Systems
      • Engineering design techniques
      • Mechatronic prototyping
      • Multisensory systems, machine vision
      • Designing with non-metal materials
      • Distributed systems
    • 3RD SEMESTER: TU WIEN
      • Virtual Product Development
      • Industrial Manufacturing Systems
      • Industrial Information Systems
      • Controlling
      • Innovation Theory
      • Project Work Virtual Product Development
      • Strategic Management
      • Knowledge Management in Cyber Physical Production Systems
      • Communication and Rhetoric
      • Human Resource Management and Leadership
      • Design of Informational Systems for Production Management
      • Marketing Basics
  • e-Classroom
  • Contacts
  • Intellectual outputs
The rise of smart products
 
Casprod
Casprod
  • About
  • Universities
    • University of Ljubljana, Faculty of Mechanical Engineering
    • University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture
    • TU Wien, Faculty of Mechanical and Industrial Engineering
  • Curriculum structure
    • 1ST SEMESTER: UNIVERSITY OF ZAGREB
      • Computer Integrated Product Development
      • Mechatronics and Sensors Sytems
      • Digital Manufacturing Systems
      • Advanced Engineering Informatics
      • Innovation Management in Product Development
      • Design for Sustainability
      • Quality Management in Engineering
      • Biomimetic Systems and Humanoid Robotics
      • Advanced Materials
      • Electric and Hybrid Vehicles
      • Engineering Logistics
    • 2ND SEMESTER: UNIVERSITY OF LJUBLJANA
      • Data modelling
      • Big data analysis
      • Information Security and Privacy
      • Assembly and Handling Systems
      • Engineering design techniques
      • Mechatronic prototyping
      • Multisensory systems, machine vision
      • Designing with non-metal materials
      • Distributed systems
    • 3RD SEMESTER: TU WIEN
      • Virtual Product Development
      • Industrial Manufacturing Systems
      • Industrial Information Systems
      • Controlling
      • Innovation Theory
      • Project Work Virtual Product Development
      • Strategic Management
      • Knowledge Management in Cyber Physical Production Systems
      • Communication and Rhetoric
      • Human Resource Management and Leadership
      • Design of Informational Systems for Production Management
      • Marketing Basics
  • e-Classroom
  • Contacts
  • Intellectual outputs

Electric and Hybrid Vehicles

HomeCurriculum structure1ST SEMESTER: UNIVERSITY OF ZAGREBElectric and Hybrid Vehicles

Course teachers: Prof. dr. sc. Joško Deur, Prof. dr. sc. Joško Petrić

Course objectives: The course deals with modelling and analysis techniques and energy management control principles for electric and hybrid vehicles. The course objective is to make students familiar with different electric and hybrid vehicle configurations, kinematic and dynamic powertrain models, power flow analysis techniques, control variable optimisation tools, control system design methods, and computer simulation verification tools. The consideration will be extended to e-mobility systems including smart charging techniques and vehicle-grid integration aspects.

Expected learning outcomes:

• To understand various concepts and configurations of electric and hybrid vehicles
• To develop mathematical and simulation models of hybrid vehicle powertrains
• To conduct power flow analyses for complex hybrid powertrains
• To acquire knowledge on hybrid powertrain control variable optimisation
• To design energy management strategies
• To use and adapt computer simulation tools for advanced vehicle powertrains
• To understand e-mobility systems including electric vehicle-grid integration aspects

This project has been funded with support from the European Commission.
This publication [communication] reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

Copyright © 2018 Faculty of Mechanical Engineering, University of Ljubljana.