Battery Management and Safety

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).


Key Information

Open Registration

$250

GO BLUE Discounts

Start Date

Anytime

Timeline

180 days

Time Commitment

5-7 Hours

Format

Online

Continuing Education Units (CEU)

.1

Program Overview

Course Outline
  • 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.

Completion Requirements

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.

To view technical requirements, click here.

Support

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).

Learning Objectives

  • 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

course instructor

Jason Siegel
Jason Siegel
Assistant Research Scientist, Mechanical Engineering, College of Engineering

Post Program

Digital Badge

Earn a digital badge for your resume or professional profile:

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Certificate

A certificate in your course of study will be awarded upon successful completion of this program.

A preview of what a course certificate of completion might look like.

“This program was very suitable for my team and beneficial for us to understand new technologies...[our] engineers can work at their own pace.”

- Supervisor, Ford Motor Company