AME447

043972

Students will acquire a foundation in rechargeable batteries operation, application, and modeling. Rechargeable batteries are one of the most feasible energy storage technologies with broad application areas ranging from cell phones and laptops up to electric vehicles (EVs)/electric airplanes (EAs) and grid storage. Batteries have long been an essential part of engineering programs since they provide fundamentals for most future energy management systems. In this course, students will be able to identify the major components of a lithium-ion cell, module, and stack. You will gain a basic understanding of battery usage in EVs/EAs and battery management systems. Different types of battery modeling techniques and methods will be introduced and explained. Several real-life examples of modern rechargeable battery types will be emphasized. In addition, graduate students will learn to apply advanced thermal analysis to EVs using machine learning and multi-physics techniques. At the end of the course, you will develop a good understanding of battery operation and application by using the physics and physical arguments that underpin the theory.

GRD - Regular Grades A, B, C, D, E

Undergraduate

019837

AME547