Topic outline

  • We have two graded assignments in this course. The Matlab and Simulink software is needed to complete these assignments. You can install this software on your own computer (cf. the instructions below). Alternatively, you may use computer classrooms on the campus.

    Two instruction sessions per assignment will be held. You may attend as many sessions as you will.

    General guidelines for the assignments are:

    • The assignments are to be completed in groups of two (recommended) or alone.
    • Both students of the group should contribute all parts of the assignment. Both students of the group should submit their common reports individually. Remember to include your full names and student numbers in your report.
    • You are encouraged to discuss the assignments in general terms with other groups but copying solutions from other groups is not allowed!
    • Reports should be clearly and consistently written.
    • This assignment deals with selection of components (an electric traction motor and a power converter) for an all-electric vehicle powertrain. Instruction sessions will be held on 30.9.2020 and 14.10.2020 at 10:15-12:00. Submit your report as a pdf file (and the requested Matlab scripts) no later than on 21.10.2020 at 16:00. The assignment will be graded on a scale of 0-10 points (10% of the total available points).

    • Folder icon
      Assignment 1: Supporting files Folder
      Not available unless: Your Email address ends with @aalto.fi

      This folder includes the New European Driving Cycle (NEDC) profile as a Matlab file (NEDC.mat) as well as motor and converter data sheets (pdf files).

    • A simulation model of a DC motor drive will be built using MATLAB/Simulink. This assignment aims to familiarise you with basic features of Simulink and to demonstrate modelling approaches applicable to electric drives. Instruction sessions will be held on 4.11.2020 and 18.11.2020 at 10:15-12:00. Submit your report as a pdf file (and the requested Simulink models) no later than on 25.11.2020 at 16:00. The assignment will be graded on a scale of 0-20 points (20% of the total available points).