ME 320 Dynamics/ME 321 Dynamics Simulation Lab
Spring 2015, Fall 2015, Fall 2016
Dynamics analysis is central to the design of mechanical systems. This course will walk the students through the dynamics of particles and rigid bodies. The study is based on a Newtonian formulation of the governing equations. An emphasis will be placed on understanding the fundamental principles and applying them to analyze various problems. The instruction will involve a large amount of in-class group discussion and problem solving in order to help students acquire knowledge in an active learning environment and facilitate the learning process. The topics will comprise two major parts, the kinetics of a particle and a rigid body. Each part will include analysis of key concepts such as force, acceleration, work and energy.
ME 788 Optimal Estimation
Fall 2014, Spring 2016, Spring 2017
This course presents the fundamentals of optimal state estimation, which is a primary branch of control theory and has wide applications in many engineering areas. The central theme is the Kalman filter, a popular mathematical tool to estimate the unknown state variables of a dynamic system using measurements over time. We will offer a systematic and bottom-up introduction, beginning with the key concepts in probability and linear systems theories, and then moving upward to show the derivations, analysis and generalizations of the Kalman filter. Through the course, we intend to help students grasp the essence of the Kalman filtering techniques and apply them to their research projects.
ME 790 Energy Storage Systems & Control
This course presents an introduction to electric energy storage systems including batteries, fuel cells and ultra-capacitors from the perspective of dynamic systems and control. It will offer a systematic coverage of the work mechanisms, dynamic modeling, parameter identification, state estimation and control of these systems. In navigating students through these topics, this course is anticipated to help students build a profound understanding of energy storage with its key role in the clean-energy era and elevate their capability of applying control theory to address critical issues toward enabling high-performing energy storage systems.
ME 640 Capstone Design Project
FALL 2014, Spring 2015, Fall 2015, Spring 2016, Fall 2016
This capstone project serves as an opportunity for a team of undergraduate students to bring years of coursework and experiences together to address a real-life engineering challenge. The past and ongoing projects include development of smart battery packs for electric transportation applications, control of HVAC systems for smart buildings and microgrid management. Multifaceted tasks and activities are performed, spanning hardware/software development, algorithm design, and design accounting for engineering needs, economic cost and environmental impact. Another objective of this project is to promote creativity, innovation and teamwork among participants to lay a foundation for their career growth.