ECE 51018 - Hybrid Electric Vehicles

Note:

ISBNs: pdf: 978-1-1189-7053-9; epub: 978-1-1189-7054-6; cloth: 978-1-1189-7056-0

Course Details

Lecture Hours: 3 Credits: 3

Areas of Specialization:

  • Power and Energy Devices and Systems

Counts as:

  • EE Elective
  • CMPE Selective - Special Content

Normally Offered:

Each Spring

Campus/Online:

On-campus and online

Requisites:

ECE 32100 and ECE 43300, and [(MA 26500 and MA 26600) or MA 26200]

Requisites by Topic:

Familiarity with matrix algebra, MATLAB, Elementary differential equations.

Catalog Description:

Introduction to architectures and technologies associated with electric and hybrid electric vehicles including their constituent components. Specific topics include electric and hybrid electric drive trains, energy storage (batteries/ ultracapacitors, fuel cells), electromechanical energy conversion (induction and permanent magnet motors and generators), power electronics, vehicle-level modeling and control, and optimization

Required Text(s):

  1. Hybrid Electric Vehicles: Principles and Applications with Practical Perspectives , Chris Mi, M. Abul Masrur, and David Gao , John Wiley & Sons , 2017 , ISBN No. 978-1-1189-7053-9

Recommended Text(s):

None.

Learning Outcomes

A student who successfully fulfills the course requirements will have demonstrated:

  • Understanding of the principal architectures of electric and hybrid electric vehicles
  • Ability to analyze performance characteristics and understand limitations of each architecture
  • Understanding of the principal components of an HEV including the power/energy storage, conversion, transmission, and control subsystems
  • Ability to integrate disparate subsystem models to form end-to-end vehicle model

Lecture Outline:

Lectures Major Topics
3 Introduction to architectures (series, parallel, split torque)
5 Powertrain fundamentals
5 Battery characteristics, limitations, and management
3 Ultra capacitors and fuel cells
6 Power train electronics
6 Motor drives (induction, permanent magnet)
6 Vehicular control and overall energy management
3 Sizing and optimization
3 Regenerative braking
3 Advanced modeling and simulation tools
1 Midterm exam

Assessment Method:

Satisfactory completion of four projects using Matlab/Simulink