ME 597C Battery Systems Engineering
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
Professor C. D. Rahn
the Battery and Energy Storage Technology Center
150A Hammond Building
University Park, PA
Either knowledge or interest in electrochemistry, mathematics, modeling,
simulation, estimation, and control are recommended.
Class Notes will be provided. There is no required text.
Computer and Technology Requirements:
Assignments and Projects in
this course require the use of MATLAB or similar software.
Students should be familiar with MATLAB or similar software.
MATLAB software is available for student use in some of the
on-campus engineering computer labs. MATLAB is also available
from the PSU Computer store:
The use of Mac OS computers
in not supported in this course.
The enrollment process is:
Contact the the Office of Continuing and Distance Education for
admission into the course at 814-865-7643.
Complete and submit the Registration Form via mail,
fax, or in person. See the Registration Page.
Office for Disability Services
Penn State welcomes students with disabilities into the University’s
educational programs. If you have a disability‐related need for reasonable
academic adjustments in this course, contact the Office for Disability
Services (ODS) at 814‐863‐1807 (V/TTY). For further information regarding
ODS, please visit the Office of Disability Services website at http://equity.psu.edu/ods
In order to receive consideration for course accommodations, you must
contact ODS and provide documentation (see the documentation guidelines at http://equity.psu.edu/ods/guidelines. If the documentation supports the
need for academics adjustments, ODS will provide a letter identifying
appropriate academics adjustments. Please share this letter and discuss the
adjustments with your instructor as early in the course as possible. You
must contact ODS and request academic adjustment letters at the beginning of