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Course Description

This course is Part II of Electric Vehicle Powertrain Systems.

The market for electric vehicles (EVs) is growing due to inherent benefits such as lower operating costs, higher energy efficiency and superior driving performance, new use cases and environmental improvements. Automotive OEMs and Tier 1 suppliers have invested significantly towards electrification of the automotive sector. There is a big effort from the automotive OEMs to release more EVs into the market in the next few years. Various nations and provinces have put forward aggressive targets to replace a big market share of conventional IC engine based vehicles with plug-in EVs. 

This course is divided into two parts and provides fundamental knowledge of the creation of state-of-the-art EVs. Topics will include: EV powertrain architecture, design of EV powertrain components based on vehicle dynamics and drive cycle, different electric motor technologies, power electronic converters, control of the powertrain, EV powertrain testing, battery energy storage and charging. 

The course will use case studies and examples from commercially available EVs and provide learners with the opportunity to use software such as Microsoft Excel, Matlab/Simulink and Ansys Motor-CAD.   

Learners will participate in hands on activities such as: 

  • Solving numerical questions
  • Writing scripts on Matlab to size EV powertrain
  • Analyzing performance of a motor with different parameters and control schemes on Matlab/Simulink
  • Designing and analyzing electric motor using Ansys-Motor CAD

Course Outline

Part I – see topics in Electric Vehicle Powertrain Systems Part I

Part II

Introduction to power electronic converter for motor drive

  • Understand architecture and operation of conventional DC-AC and AC-DC converters for motor drives
  • Understand design variations in commercially available electric vehicle motor drives

Control of powertrain system

  • Understand different components/circuits involved in controlling a AC motor drive for EVs           
  • Integrate vehicle dynamics, drive cycle and AC motor drive model in software such a Matlab/Simulink

Fundamentals of Energy storage, management and charging

  • Understand pros/cons of different battery chemistry
  • Understand various battery management functions
  • Understand different battery charging schemes

Electric powertrain testing and validation

  • Understand different components necessary for electric powertrain testing
  • Understand different output characteristics, results from a high-speed electric powertrain test platform

Learners who complete Part I and Part II of this class will receive a Certificate of Participation in Electric Vehicle Powertrain Systems.  Learners must attend at least 80% of the class to receive a Certificate of Participation.

Notes

Class Materials:

A full list of optional materials/downloads will be provided during the first class.

For an interactive learning experience, participants will be asked to access the Mathworks 30-day free trial after the first class or purchase the student paid version for $99. This is optional. Details will be provided during the first class.

Technical Requirements:

  • Learners will require access to a computer with high-speed internet access.
  • Class is delivered online through the Brightspace Learning Management System (for class materials and assignments) and Microsoft Teams for class meetings.

Brightspace and Microsoft Teams Requirements:

  • A link will be provided through email prior to the first day of class so that you will have access to all course resources and streaming functions
  • Once you register for this class you will be issued a UWinID.   Please activate your UWinID as soon as possible. Document your UWinID and password as you will need it to access Brightspace and Teams. If you have any issues, please contact continue@uwindsor.ca.
  • Visit this site for Brightspace technical requirements

Prerequisites

It is expected that learners who take this class have:

  • Previous experience in coding
  • Basic knowledge of Microsoft Excel
  • A minimum of a secondary school diploma (some post-secondary recommended)
  • English language proficiency
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