About the course
LEARN THE MODELING TECHNIQUES USED IN ADVANCED BATTERY MANAGEMENT SYSTEMS
Estimation and control of the states of the battery are essential to extract the maximum usable energy and highest available power while maintaining safe operation in hybrid and electric vehicle systems. This course reviews the modeling techniques, concepts, and algorithms used in advanced battery management systems (BMS).
- Overview Parts 1-3 (61 min)
- Equivalent Circuit Models for the Lithium lon Battery (25 min)
- 1+1D Electrochemical Model (25 min)
- Battery Thermal Modeling (20 min)
- Data Collection and Model Parameterization (23 min)
- Vehicle Energy Management Functions (12 min)
- State of Charge (SOC) Estimation (12 min)
- Battery Cell Balancing (21 min)
- Battery Charging Standards and Algorithms (27 min)
- Power Limits, Cold Temperature Performance (34 min)
- Lithium lon Battery Safety Issues (26 min)
- Battery Aging (34 min)
TIME COMMITMENT AND WORK PACE
Each course contains 4-6 hours of online instruction divided into shorter modules to make it easy to learn at your own pace.
You will have 180 days from your course start date to complete the course.
Successful completion requires you to view all course modules and receive an 80% passing grade on the course assessment. Upon completing these requirements, you will earn a digital badge for your resume or professional profile.
CERTIFICATE OPTION AND SPECIALIZATIONS
Upon successful completion of 4 CCET courses, you will receive a U-M Certificate of Achievement.
Select 4 courses from one concentration to deepen your knowledge in a subject or area. If you choose a specialization, your certificate will note the specialization you completed.
PREREQUISITES & TECHNICAL REQUIREMENTS
There are no prerequisites for this course. A bachelor's degree in a science, engineering, or technical field is recommended but not required.
Administrative/Online Technical Support
Support staff are available via phone and email to help with administrative and technical issues during our normal business hours (Monday through Friday 8:00 a.m. to 5:00 p.m. Eastern Time).
- Understand and summarize the basic components and functionality of the Battery Management System
- Design and model battery systems
- Choose the appropriate model complexity for a given application
- Parameterize equivalent circuit battery models using experimental I,V,T data
- Discuss the factors that influence battery performance and required protection schemes
- Apply the state of the art in battery modeling and controls research
Currently, I am working as a Research Scientist in the Mechanical Engineering deptartment at the University of Michigan. I received my Ph.D. in 2010, MS in 2006 and BS in Electrical Engineering in 2004 at the University of Michigan. My hobbies include working on antique cars, building furniture...
Because of COVID-19, many providers are cancelling or postponing in-person programs or providing online participation options.
We are happy to help you find a suitable online alternative.