Gregory L. Plett, M. Scott Trimboli, Department of Electrical and Computer Engineering, UCCSDragan Maksimović, Department of Electrical, Energy and Computer Engineering, University of Colorado Boulder

Regan Zane, Department of Electrical and Computer Engineering, Utah State University

DOE GATE Center of Excellence in Innovative Drivetrains in Electric Automotive Technology Education (IDEATE)

SELECT Annual Meeting and Technology Showcase – Logan, Utah – September 27-28, 2016

INTRODUCTION IDEATE is a Department-of-Energy sponsored program jointly offered by three

SELECT campuses that has: Established a Graduate Certificate in Electric Drivetrain Technology that enables

retraining “traditional” engineers in core electric-drivetrain topics Established an MSEE option in Battery Controls and an MSEE emphasis area in

Vehicle Power Electronics to educate a future workforce Developed courses and materials that support fundamental PhD research, which

will enable development of new technology in electric-drivetrain topics Removed barriers to study by making coursework nationally accessible via on-

line means and offering GATE Fellowships to qualified students to defray costs

PROGRAM STRUCTURE

ON-LINE AVAILABILITY APPLICATION PROCESSEDUCATING A WORKFORCE All Graduate-Certificate courses and most MSEE

specialty courses are available on-line These offerings are very appreciated by working

engineers andremote studentsfrom aroundthe globe

Course lecturematerials andlecture videorecordings available foraccess

Since program inception in 2012, more than 200 students have taken at least one IDEATE course

As of May 2016, 16 students have completed the graduate certificate and 42 students have graduated with a specialty-area MSEE

Application details are available under the “Apply Now” tab at http://mocha-java.uccs.edu/IDEATE/

Students may also apply for a “GATE Fellowship” to help defray course costs (sponsored by DOE)

For further information, please contact:Dr. Gregory L. PlettDepartment of Electrical and Computer EngineeringUniversity of Colorado Colorado Springs1420 Austin Bluffs ParkwayColorado Springs, CO 80918Voice: +1-719-255-3468; Fax: +1-719-255-3589email: gplett@uccs.edu

Graduate courses supporting PhD in EE emphasis area inBattery Controls

Feedback Control Digital Control Multivariable Ctrl.Systems I, II, III

Graduate Education in Battery Controls Graduate Education in Vehicle Power ElectronicsUniversity of Colorado Colorado Springs

MSEE option in Battery Controls

OptimizationSystem IdentificationKalman FilteringModel Pred. Ctrl.

MSEE emphasis area inVehicle Power Electronics

Intro. to Pwr. Elect.Res., Soft SwitchModel/ctrl Pwr. Elect.Pwr. Elect Lab

Graduate courses supporting PhD in EE emphasis area Vehicle Pwr. Elect.

Analog IC DesignMix. Signal IC Des.Renewable EnergyCtrl. Sys. AnalysisEmbed. Sys. Des.Digital Control Sys.

Graduate Certificate inElectric Drivetrain Technology

Modeling Battery DynamicsBattery Management & Ctrl.Power Electronics for Electric Drive VehiclesAdjustable Speed AC Drives

University of Colorado BoulderUtah State University

Graduate Certificate comprises four courses shared among the IDEATE campuses MSEE and PhD areas allow specialization in one particular topic area

BATTERY MANAGEMENT AND CONTROL A battery-management system monitors and controls usage of the battery pack This course begins with an overview of the major functions of a battery-

management system, including a high-level overview of the necessary electronics In-depth consideration is then given to several methods for estimating battery state Some standard and improved methods for estimating battery health are covered Motivation and methodology for cell balancing is discussed Voltage-based power-limit

estimation methods are derived The course concludes with an

introduction to optimized model-predictive controls for physics-based power-limit computation

MODELING, SIMULATION, IDENTIFICATION OF BATTERY DYNAMICS Models are sets of equations that describe how something operates Models of battery cells are needed when designing management algorithms This course first gives brief consideration to equivalent-circuit models and both

their strengths and limitations Substantial attention is then given to deriving particle-scale homogeneous-phase

physics-based models of internal cell dynamics Volume-averaging techniques are used

to create continuum models Cutting-edge methods that auto-

matically convert continuum models to high-fidelity reduced-order controls models are investigated in detail

ADJUSTABLE SPEED AC DRIVES AC drives are both inexpensive and efficient but require careful control This course presents a unified treatment of complete electrical drive systems:

mechanical load, electrical machine, power converter, and control equipment Emphasizes induction, synchronous, and permanent-magnet drives This course begins with an introduction to electric machines for electric vehicles It then looks at principles for analysis of electric machines, reference frame theory Uses simulation programs

(e.g., SPICE, finite-element/difference program) to simulate drive-system components (e.g., gating, inverter, electric machine)

Battery Management

System(BMS)

Electronics

BidirectionalDC-DC

converter

AC motor drive

Sensing and controlEnergy

Storage System

Sensing and control

Vehicle communication and control

POWER ELECTRONICS FOR ELECTRIC DRIVE VEHICLES Power electronics make up a critical portion of the electric drivetrain Power converters are needed for motor drives and battery chargers and other

power-electronics subsystems are needed within the battery-management system This course first gives an overview of electric-drive vehicles, including system

architecture and dynamic system modeling and simulation Power converters for motor drives

are then introduced Power converters for battery-

management electronics are covered Finally, the course studies power

converters for battery chargers and utility interface

Electric Drive Vehicles• System Architecture: EV, HEV, PHEV, …, xEV; Series, parallel, complex• Electric system control and dynamics; Simulink modeling and simulation

Power Convertersfor Motor Drives

• Bi-directional DC-AC• High power density,

high current, high temperature

• Sensing and digital control

Power Converters for Battery Chargers• Level I, II, III; charger

requirements• Bi-directional AC-DC,

DC-DC• Control and coordination

with BMS

Power Converters for Energy Storage

• Energy storage cells, battery management system electronics

• Bi-directional DC-DC• Sensing and digital

controls

0

50

100

150

200

250

1 2 3 4

Number of students having taken at least “N” IDEATE courses by end of indicated fiscal

year

FY16FY15FY14FY13

048

121620242832364044

Cert. MSEE

Number of students having completed program by end of

indicated fiscal year