• Hybrid and Electric Vehicles

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.




 

Featured HEV Research & Activities


A leader in HEV research, the University of Michigan College of Engineering boasts numerous laboratories and groups dedicated to studying hybrid and electric vehicle technologies. This short course emphasizes concepts and examples that
have been successfully implemented in laboratories and/or on prototype vehicles. Participants will be provided with case studies and examples derived from research-grade simulations that have been used and validated experimentally.



 
 

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)


Faculty

 
 
Heath Hofmann
Heath Hofmann
Professor, Electrical Engineering and Computer Science
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Huei Peng
Huei Peng
Director, Mcity, U-M Office of Research
Professor, Mechanical Engineering
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Jason Siegel
Jason Siegel
Assistant Research Scientist, Mechanical Engineering
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