Enroll Course: https://www.coursera.org/learn/battery-state-of-health
If you’ve ever wondered about the intricacies of lithium-ion battery health, then the Battery State-of-Health (SOH) Estimation course on Coursera is the perfect opportunity for you! Aligned with CU Boulder’s Master of Science in Electrical Engineering degree, this course not only offers academic credit but also a deep dive into the fascinating world of battery technology.
This course expertly guides you through essential methodologies for estimating the state of health of lithium-ion cells. With a curriculum that blends theoretical knowledge with practical application, you will learn to identify primary degradation mechanisms, execute Octave/MATLAB scripts for total capacity estimation, and much more.
Course Overview
The course begins with a crucial overview of how lithium-ion cell health degrades over time. You’ll explore why capacities decrease and resistances increase, understanding the fundamental physical and chemical mechanisms at play. This foundational knowledge is vital for anyone looking to work in battery technology or electric vehicles.
Moving forward, the course dives into various estimation methods, starting with an introduction to total-least-squares (TLS) methodology, which is a significant improvement over ordinary-least-squares (OLS). This ensures that you develop a robust understanding of how to derive solutions that can provide more accurate estimations.
The curriculum also teaches you how to implement these estimation methods in Octave, providing real-world contexts through simulation scenarios representative of hybrid and battery electric vehicles (HEVs and BEVs). By incorporating such simulations, you grasp how estimation methods can be applied effectively across different applications.
One standout feature is the honors week, where you will learn to extend your knowledge on using extended Kalman filters (EKFs) and sigma-point Kalman filters (SPKFs) for estimating battery cell models. This advanced topic will undoubtedly enhance your expertise in the field.
Lastly, the capstone project allows you to showcase all that you’ve learned by determining optimal input data for various total-capacity estimation methods, culminating in a comprehensive learning experience that is highly applicable in the industry.
Conclusion
In summary, the Battery State-of-Health Estimation course on Coursera is an invaluable resource for anyone looking to deepen their understanding of battery technology, particularly lithium-ion cells. With a blend of theoretical insights and hands-on practice, this course not only broadens your knowledge but also equips you with skills essential for today’s evolving technological landscape.
I highly recommend this course for engineers, researchers, and enthusiasts alike who are eager to explore the critical factors influencing battery performance and health. Enroll now and take the first step towards mastering battery state-of-health estimation!
Enroll Course: https://www.coursera.org/learn/battery-state-of-health