Understand the concept and potential benefits of drivetrain hybridization strategies. Evaluate energy consumption in road vehicles and relate energy demand of driving cycles to fuel economy and CO2 emissions.
Develop mathematical models of energy use in internal combustion (I.C.) engine and mechanical transmission subsystem and use the models to predict fuel consumption and CO2 emissions of a conventional vehicle. Develop a more in-depth understanding of electric machines and electronic power converters.
The last part of the day (approximately two hours) will be dedicated to simulation exercises focused on controller development using StateFlowTM
- Analyze fuel consumption in vehicles;
- Learn how Hybrid Electric Vehicles (HEVS) compare with conventional vehicles;
- Understand the concept and potential benefits of different hybrid powertrain topologies;
- Learn the basic principles of energy management and optimal supervisory control strategy for hybrid electric vehicles;
- Review the different types of electric machines and their principles of operation;
- Review power converter technologies and their principles of operation;
- Understand the most important properties of electrochemical energy storage devices and systems for automotive applications;
- Develop an understanding of current performance and R&D targets for each of the three subsystems listed above;
- Demonstration: review the structure of a plug-in hybrid-electric vehicle simulator, and understand how to conduct energy and performance analysis of a HEV. A Simulink-based simulator is provided.
- Review various I.C. engines and mechanical transmission configurations and their influence on vehicle fuel economy;
- Review the details of electric machine and power converter operation and develop models appropriate for vehicle fuel economy prediction;
- Understand how the Matlab/Simulink environment can be used to create a vehicle model through step by step instructions, using specially developed simulation code;
- Simulation exercise: Develop an understanding of a conventional (non-hybrid) powertrain model and modify a powertrain vehicle simulator to analyze the functionality of the various components and their impact on fuel economy, with special emphasis on the importance of transmission management. A Simulink-based Simulator is provided.
Day 3, Part 1:
Develop a more in-depth understanding of battery systems, and how to model the energy efficiency of electric traction drives and energy storage systems in XEVs. Use these models in electric and hybrid vehicle simulators to understand energy use.
Day 3, Part 2:
Understand energy management strategies for electric and hybrid vehicles.
- Review the details of energy storage systems and develop models of battery systems appropriate for vehicle fuel economy prediction;
- Model and simulate electric traction systems and energy storage devices in a vehicle simulator and use these models to predict fuel consumption and CO2 emissions.
- Review energy management concepts for hybrid electric powertrains and introduce principles of optimal control, including Dynamic Programming and Equivalent Consumption Minimization Strategy (ECMS).
- Simulation exercise: Perform HEV analysis and simulation through optimization of the supervisory energy management controller fuel economy using a given HEV simulator implemented in Matlab/Simulink. A Simulink-based simulator is provided.