Battery Management Systems (Aug 2026)

This course will explore various concepts behind real-time battery management algorithms for the beginners – including battery modeling, real-time battery control, and estimation of battery variables. 

Learning Goals

• Identify and describe the theoretical underpinnings of physical and phenomenological models of battery systems.
• Summarize and implement common estimation techniques in battery management that are used to estimate unmeasured internal variables within the battery.
• Summarize and implement common anomaly detection techniques in battery management that are used to diagnose various faults within the battery.
• Summarize and implement common control techniques in battery management that are used to achieve various performance and safety objectives in batteries.

Course Overview

This course is structured for learners who have a basic background in ordinary differential equations and linear algebra, and some programming experience (MATLAB). The overall course goal is to guide industrial practitioners, both managers and line-engineers/scientists, to rapidly expand their understanding and capabilities into the battery management systems.

Course topics include:

• Control-oriented battery modeling
• State estimation in battery systems
• Fault diagnosis of battery systems
• Control of battery systems

This course is approved for 1.5 CEUs or 15 PEs. Check with your employer on reimbursement.

What to Expect

This is a 4-week fully online course mixing asynchronous self-directed learning with live sessions with expert faculty. You should expect to spend roughly 20-25 hours total on this course. Each week will include a mix of direct instruction in the form of watching asynchronous instructor videos with explanations and demonstrations; exercises and activities you will do on your own to make sure you are grasping the concepts; and assignments you’ll submit to demonstrate your skills. There will also be live sessions with your instructors that will give time for deeper exploration of the topics and problem-solving demonstrations as well as time for you to ask questions.

To complete the short course and earn the digital badge, you’ll need to demonstrate competency in each of the learning outcomes and successfully complete the course assignments as determined by your course instructor.

This course includes live synchronous sessions with faculty or professional experts each week. While they are highly beneficial to participate in live, accommodations will be made for those that cannot attend.

Time Commitment

Learners should anticipate dedicating around 20-25 hours over a 4-week period for this course. Each week, participants will engage in readings, watch instructional videos, complete assignments, and interact live with our faculty experts, averaging about 4-6 hours per week. Additionally, we offer the flexibility to watch recorded sessions with our experts, ensuring optimal convenience for all learners.

Course opens on Friday for learners to orient themselves but officially kicks off on Monday.

Technology Requirements

TBA

Instructor

Satadru Dey
Assistant Professor, Mechanical Engineering

Recognition

Upon completion of this course, you will receive a College of Engineering Certified Microcredential titled Battery Management Systems. This credential can be shared on your LinkedIn profile and other digital media.

Series Completion Badge

Earn the Battery Essentials Series badge by successfully completing:

• Battery Management Systems
• TBA
• TBA

Courses are offered periodically throughout the year. For any questions regarding these opportunities, please contact: microcredentials@engr.psu.edu.