Vehicle Electrification

Key Information

Course Dates

Time Commitment

3 days



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Improve performance and reduce the cost of electric vehicles.

Learn research-based techniques from a multidisciplinary team at University of Michigan Engineering. Through interactive classroom sessions, you will gain advanced knowledge and learn practical applications in the modeling, design, analysis, and development of hybrid and electric vehicles — with a special focus on electric machines/drives and battery modeling, management, and control.


  • 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



  • Main hybrid architectures
  • Current market and technology trends of hybrid and electric vehicles
  • Key technologies and challenges for light-duty hybrids
  • 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
  • Key control challenges
  • Rule-based
  • Equivalent consumption minimization strategy (ECMS)
  • Dynamic programming
  • Design case study
  • Working principles of power split hybrids and why they dominate the market
  • Kinematic model
  • Torque and speed analysis
  • Dynamic model
  • Power management algorithm

Electric Machinery and Drives

  • Switchmode circuit designs
  • Power electronic transistors
  • Pulse width modulation
  • Loss, efficiency estimation
  • Conduction losses
  • Switching losses
  • AC-DC conversion
  • Power factor correction
  • DC-DC conversion
  • Wireless power transfer
  • Battery charging profiles
  • 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
  • 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

Electric Machine Design

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


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



Al-Thaddeus Avestruz, PhD

  • Assistant Professor, Electrical Engineering and Computer Science, College of Engineering
Heath Hofmann

Heath Hofmann, PhD

  • Professor, Electrical Engineering and Computer Science, College of Engineering

Huei Peng, PhD

  • Director, Mcity, U-M Office of Research
  • Roger L. McCarthy Professor, Mechanical Engineering, College of Engineering

Jason Siegel, PhD

  • Associate Research Scientist, Mechanical Engineering, College of Engineering

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