The first lecture was on Integrated Power and Thermal Management: Estimation, Prediction, and Control. 

Time: Friday May 13 1115-1200
Place: T3 Tyholt.

Power and thermal systems on vehicles and ships are inherently coupled, requiring synergistic integration strategies to achieve highly efficient and reliable operation.

This talk will discuss some fundamental technical challenges for predicting, estimating, and controlling integrated power and thermal management.

Using connected and autonomous vehicles (CAVs) as an example, we will show how model-based design, complemented by data-driven approaches, can lead to control and optimization solutions with significant improvement on energy efficiency and operational reliability, in addition to safety and accessibility.

Several unique problem characteristics, such as multi-timescale, the highly interactive nature of subsystems involved, and the dynamic and uncertain environment CAVs are operating within, will be explained and explored.

Lecture 2: What Can We learn from Connected and Automated Vehicles?

Time: Wednesday 15 June, 1015-1200
Place: Zoom 
Meeting ID: 924 1131 5371
Passcode: 439849

The Marine and automotive sectors share many common grounds, while each faces unique challenges and opportunities. Connected and Automated Vehicles (CAV) have been heralded as a transformative technology, leading to a new era of ground transportation with unprecedented safety and mobility benefits. 

They also push the energy efficiency of the ground transportation systems at both the macro (traffic flow) and micro (vehicle) levels to the next height. 

Coming from the capital of automotive-the “Motown,” to the marine wonderland of Norway, I will discuss what I learned from the automotive community and why those lessons are highly relevant to maritime autonomy and decarbonization.  

Lecture 3: Control Co-Design of Marine Platforms

Marine platforms are often designed sequentially, with physical designs being pursued first, followed by control designs and system integration. The sequential design approach cannot fully explore the synergy between the physical entity and its control system dynamics for highly dynamic and interactive systems, leading to suboptimal designs or overly constrained control solutions. 

Control co-design (CCD) can simultaneously optimize physical design variables and control parameters for best performance and effective trade-off management. 

This talk will present two design cases, one for the planing hull and another for the hydro-kinetic turbine, to illustrate the CCD framework and highlight the advantages and challenges associated with CCD. 

About Jing Sun

Jing Sun is the Michael G. Parsons Collegiate Professor at the University of Michigan, College of Engineering. She received her Ph. D degree from the University of Southern California in 1989 and her master's and bachelor's degrees from the University of Science and Technology of China in 1984 and 1982, respectively.

From 1989 to 1993, she was an assistant professor in the Electrical and Computer Engineering Department at Wayne State University.

She joined Ford Research Laboratory in 1993, where she worked on advanced powertrain system controls. After spending almost ten years in the industry, she returned to academia in 2003.

She joined the University of Michigan with appointments in three departments: the Naval Architecture and Marine Engineering Department, the Electrical Engineering and Computer Science Department, and the Mechanical Engineering Department.

She holds 44 U.S. patents and has published over 300 archived journal and conference papers. She is a Fellow of NAI (the National Academy of Inventors), IEEE (Institute of Electrical and Electronics Engineers), IFAC (International Federation of Automatic Control), and SNAME (the Society of Naval Architecture and Marine Engineering).

She is a recipient of the 2003 IEEE Control System Technology Award.