Hybrid and Electric Vehicles

The College of Engineering: Integrative Systems + Design

How long?

  • 3 days
  • online

What are the topics?

The College of Engineering: Integrative Systems + Design


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Who should attend

Engineers and managers who are involved in the design and development of hybrid and electric vehicles, and/or their key components.

About the course

Improve Performance and Reduce the Cost of Hybrid Electric Vehicles

Learn research-based techniques from a multidisciplinary faculty team at the top-ranked University of Michigan College of Engineering in this three-day short course. Gain advanced knowledge and practical application in the modeling, design, analysis, and development of hybrid and electric vehicles (HEVs) through interactive classroom sessions with demonstrations, simulations, and discussions. Beyond the fundamentals of HEVs, the course features a special focus on electric machines/drives and battery modeling, management, and control.

Program Overview

Day 1: Hybrid Electric Vehicle Design and Analysis (Prof. Huei Peng)

Module 1 – Introduction and Background

  • Main hybrid architectures
  • Current market and technology trends of hybrid and electric vehicles
  • Key technologies and challenges for light-duty hybrids

Module 2 – Modeling of Light-Duty Hybrid Electric Vehicles

  • Vehicle modeling fundamentals: vehicle longitudinal dynamics
  • Torque converter and transmission
  • Driving cycles
  • Engine models
  • Traction, braking
  • Driver
  • Battery and electric drive
  • Hydraulic elements
  • Model examples

Module 3 – Modeling and Control of Series and Parallel Hybrid Vehicles

  • Key control challenges
  • Rule-based
  • Equivalent consumption minimization strategy (ECMS)
  • Dynamic programming
  • Design case study

Module 4 – Modeling and Control of Power Split Hybrid Electric Vehicles

  • Working principles of power split hybrids and why they dominate the market
  • Kinematic model
  • Torque and speed analysis
  • Dynamic model
  • Power management algorithm

Module 5 – Design Case Studies: Beyond Passenger Cars

  • Ford F-150
  • 4WD Ford F-150

Day 2: Electric Machinery and Drives (Prof. Heath Hofmann)

Module 6 – Power Electronic Fundamentals

  • Switchmode circuit designs
  • Power electronic transistors
  • Pulse width modulation
  • Loss, efficiency estimation
  • Conduction losses
  • Switching losses

Module 7 – Battery Charger Circuitry

  • AC-DC conversion
  • Power factor correction
  • DC-DC conversion
  • Wireless power transfer
  • Battery charging profiles

Module 8 – Electric Machine Fundamentals

  • DC machines
  • Permanent magnet
  • Field winding
  • AC machines
  • Permanent magnet machines
  • Surface mount permanent magnet machines
  • Brushless DC machines
  • Interior permanent magnet machines
  • Induction machines
  • Reluctance machines
  • Synchronous reluctance machines
  • Switched reluctance machines

Module 9 – Electric Drives

  • DC-AC conversion
  • Control of electric drives
  • Torque regulation in DC machines
  • Torque regulation in AC machines
  • Field-Oriented control of AC machines
  • Control of brushless DC machines
  • Field weakening
  • Speed control

Day 3: Electric Machine Design (Prof. Heath Hofmann) / Battery Modeling, Management, and Control (Prof. Jason Siegel)

Module 10 – Design Considerations in Electric Machines

  • Electrical loss mechanisms
  • Conduction losses
  • Core losses
  • Magnet losses
  • Permanent magnet types, properties
  • Core materials
  • Winding structures
  • Concentrated vs. distributed windings
  • High-voltage hairpin windings
  • Sources of vibration in electric machines and their mitigation
  • Rotor dynamics
  • Thermal issues
  • Cooling (air/oil/glycol)
  • Thermal design
  • Failure modes

Module 11 – Electric Machine Selection Criteria

  • Torque/power density
  • Efficiency
  • Cost
  • Constant power over a wide speed range (CPWSR)
  • Noise vibration harshness (NVH)

Module 12 – Lithium-ion Battery Modeling

  • Introduction to energy storage
  • Equivalent circuit battery models; series and parallel connected cells in a pack
  • Electrochemical and reduced order physics based models
  • Thermal modeling and parameter coupling
  • Data collection and model parameter identification

Module 13 – Battery Management and Control

  • BMS functionality/safety
  • State of charge (SOC) estimation
  • Cell balancing and charging
  • State of power (SOP) estimation; voltage, SOC, and temperature limits
  • State of health (SOH)

Learning Objectives

  • Understand the major components of electrified vehicles—principle, current status, technology outlook
  • Become familiar with vehicle control hierarchy and power management algorithms
  • Practice concepts with an example case study on the control and design of power-split hybrid electric vehicle
  • Understand basic operation of electric machines, power electronic inverters, and their control systems
  • Compare/contrast performance of different electric machine types
  • Understand the main functions of the Battery Management System (BMS)
  • Apply electrochemical and equivalent circuit battery modeling techniques
  • Evaluate requirements and specifications for battery systems


Huei Peng

Huei Peng received his Ph.D. in Mechanical Engineering from the University of California, Berkeley in 1992. He is now a Professor at the Department of Mechanical Engineering at the University of Michigan. His research interests include adaptive control and optimal control, with emphasis on their ...

Al-Thaddeus Avestruz

Professor Avestruz’s main research focus is in the area of high performance power electronics and wireless power transfer for renewable energy, biomedical, automotive, and consumer applications. He has complementary interests in circuits and systems for sensing, electromagnetic systems, feedback ...

Heath Hofmann

A professor of electrical engineering at The University of Michigan, Heath Hofmann’s expertise lies in the areas of power electronics and electromechanical systems. Specific research interests include energy harvesting, flywheel energy storage systems, finite element analysis, and the design and ...

Jason Siegel

Currently, I am working as a Research Scientist in the Mechanical Engineering deptartment at the University of Michigan. I received my Ph.D. in 2010, MS in 2006 and BS in Electrical Engineering in 2004 at the University of Michigan. My hobbies include working on antique cars, building furniture...

Hybrid and Electric Vehicles at The College of Engineering: Integrative Systems + Design

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