ME 597C Battery Systems Engineering 

Course Description

This course presents a self-contained, first principles study of the governing equations, dynamic modeling, analysis, design, estimation, and control of battery systems.

Energy storage is a critical and growing need in the drive to increase the efficiency and effectiveness of power systems. Electric and hybrid vehicles, smart grid technology, and renewable energy require high performance and low cost energy storage solutions. The battery systems engineer is responsible for getting the most out of the expensive battery pack without premature degradation. A model-based approach to battery systems design provides greater understanding of the underlying physics/chemistry of the system and optimal solutions can be obtained without time-consuming and expensive trial-and-error design and testing.

This course pioneers the multidisciplinary area of battery systems engineering by developing models, solution techniques, estimation algorithms, and battery management systems. The course is mainly targeted towards systems engineers who want to learn more about batteries, but it could also be useful for chemists/material scientists who want to learn more about battery modeling, estimation, and management, and other engineers and scientists whose disciplines fall in this wide range. The topical coverage follows that of a new book written by the instructor and his co-author Prof. Chao-Yang Wang. The topics include an introduction to battery systems, battery electrochemistry, the governing equations for current, ion concentration, and voltage, discretization methods, time and frequency domain response, complete battery system models, state of charge and state of health estimation, and battery management systems. The underlying approach is applicable to all battery chemistries but packs made from Lead-acid, Ni-MH, and Li-Ion cells are the focus of the course.

Course Offering Schedule via C&DE

Semester: Spring 2012

Day and Time: Tuesday and Thursday, 1:00 - 2:15 pm est

Location: 327 Sackett Building

Start Date: January 9, 2012

End Date: May 4, 2012

Prerequisites:

Either knowledge or interest in electrochemistry, mathematics, modeling, simulation, estimation, and control are recommended.

Required Textbook:

Class Notes will be provided. There is no required text.

Computer and Technology Requirements:

The enrollment process is:

1. Contact the the Office of Continuing and Distance Education for admission into the course at 814-865-7643.

2. Complete and submit the Registration Form via mail, fax, or in person. See the Registration Page.