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IUPUI School of Engineering and Technology

IUPUI School of Engineering and Technology

Automotive Control

ME 50400 / 3 Cr. (3 Class)

Concepts of automotive control. Electro-mechanical systems that are controlled by electronic control modules via an appropriate algorithm (such as fuel injection timing control, emission control, transmission clutch control, anti-lock brake control, traction control, stability control, etc.). In-depth coverage on modeling and control of these automotive systems. MATLAB/SIMULINK modeling and simulation.

Textbooks

U. Kiencke and L. Nielsen, "Automotive Control Systems: For Engine, Driveline, and Vehicle," Springer-Verlag New York, LLC, 2004.

Goals

This course is aimed at senior level and / or graduate level students in mechanical engineering with an emphasis on automotive systems. Today's cars have many electro-mechanical systems that are controlled by electronic control modules via an appropriate algorithm (such as fuel injection timing control, emission control, transmission clutch control, anti-lock brake control, traction control, stability control, etc.). This course will give the students in-depth knowledge on modeling and control of these automotive systems. MATLAB/SIMULINK modeling and simulation will be included to demonstrate the performance of various control systems.

Graduate students will also be assigned final projects which require a presentation and a report due at the end of semester.

Outcomes

After completion of this course, the students should be able to:

  1. Define current state of automotive control systems and their impact in our society.
  2. Explain basic Engine Operation: Effective Work, Air-Fuel Ratio, Combustion, and Energy conversion.
  3. Solve various aspects of engine control system: Speed Control; Knock Control; Combustion Torque Estimation; Cylinder Balancing; Fuel Injection timing control; Ignition control of SI engines.
  4. Perform transmission / driveline control: Transmission modeling; Modeling of neutral gear; State Space formulation of driveline model; Driveline control with LQR; Driveline control for gear shifting; Clutch phasing control.
  5. Perform vehicle dynamics modeling: Wheel Model; 14 DOF Vehicle Model.
  6. Calculate various vehicle parameter and perform state estimation methods: Observers; Friction Coefficient estimators; Body Side Slip Angle estimators; Tire Contact Patch Force estimators.
  7. Perform vehicle dynamics control: Yaw Stability control; Anti-Lock Brake control; Traction control.
  8. Define advanced automotive control techniques: Active Front Steering; Roll Stability control.
  9. Perform modeling of automotive control systems in MATLAB/SIMULINK environment.
  10. Evaluate and test automotive control system performance using computer-aided tools (MATLAB/SIMULINK).
Topics
  1. Introduction. Why control systems for automobiles? A brief history of automotive control systems
  2. Engines and Their Working Principle. Basic Engine Operation: Effective Work, Air-Fuel Ratio, Combustion, Energy conversion, Emissions of ICE, Intake manifold dynamics.
  3. Engine Control System. Lambda Control; Speed Control; Knock Control; Combustion Torque Estimation; Cylinder Balancing; Fuel Injection timing control; Ignition control of SI engines.
  4. Transmission / Driveline Control. Transmission modeling; Modeling of neutral gear; State Space formulation of driveline model; Driveline control with LQG / LTR; Driveline control for gear shifting; Clutch phasing control
  5. Vehicle Dynamics Modeling. Wheel Model; 14 DOF Complete Vehicle Model.
  6. Vehicle Parameter and State Estimation. Observers, Kalman filters, Fuzzy estimators; Friction Coefficient estimators; Body Side Slip Angle estimators; Tire Contact Patch Force estimators.
  7. Vehicle Dynamics Control. Yaw Stability control; Anti-Lock Brake control; Traction control.
  8. Advanced Topics.
HW, Exams, and Projects

Homework problems will be assigned approximately once every 10 days in order for students to understand the course materials covered in the lectures. Graduate students will also be assigned final projects which require a presentation and a report due at the end of semester.

Two in-class midterms and a final exam will be given. The final will be comprehensive with emphasis on the materials which are not covered in the midterms.