Enroll Course: https://www.coursera.org/learn/battery-state-of-health
In today’s world, where electric vehicles and renewable energy storage are becoming increasingly prevalent, understanding battery technology is more important than ever. One of the most critical aspects of battery technology is the state-of-health (SOH) of batteries, particularly lithium-ion cells. If you’re looking to deepen your knowledge in this area, the Coursera course titled ‘Battery State-of-Health (SOH) Estimation’ is an excellent choice.
### Course Overview
This course, which can also be taken for academic credit as ECEA 5733 as part of CU Boulder’s Master of Science in Electrical Engineering degree, provides a comprehensive look at the methods used to estimate the health of lithium-ion batteries. The course is structured to guide you through the various degradation mechanisms that affect battery performance and how to implement different estimation methods.
### What You Will Learn
By the end of this course, you will be equipped with the skills to:
– Identify the primary degradation mechanisms in lithium-ion cells and understand their implications.
– Execute Octave/MATLAB scripts to estimate total capacity using Weighted Least Squares (WLS).
### Course Syllabus Highlights
1. **Understanding Degradation**: The course begins with an exploration of how lithium-ion cell health degrades over time. You will learn about the physical and chemical mechanisms behind capacity loss and resistance increase, which are crucial for anyone working with battery technology.
2. **Total-Least-Squares Method**: You will discover why traditional Ordinary Least Squares (OLS) methods are inadequate for battery capacity estimation and how to apply Total-Least-Squares (TLS) methods instead.
3. **Efficient Computation Techniques**: The course introduces simplified methods for total-least-squares estimation that are suitable for implementation on embedded systems like Battery Management Systems (BMS).
4. **Coding for Estimation**: You will learn how to write code in Octave to implement various total-capacity estimation methods and benchmark their performance in real-world scenarios, particularly in hybrid and battery-electric vehicle applications.
5. **Kalman Filter Applications**: The course culminates with advanced techniques using Kalman filters for estimating battery cell parameters, providing a robust understanding of state estimation.
6. **Capstone Project**: The hands-on capstone project allows you to apply what you’ve learned by exploring data input methods for total-capacity estimation, solidifying your understanding through practical application.
### Why You Should Enroll
This course is ideal for engineers, researchers, and anyone interested in battery technology. The blend of theoretical knowledge and practical coding skills makes it a valuable resource for those looking to work in the electric vehicle or renewable energy sectors. The course is well-structured, with clear explanations and practical examples that enhance the learning experience.
### Conclusion
If you’re serious about understanding battery health and want to gain practical skills in SOH estimation, the ‘Battery State-of-Health (SOH) Estimation’ course on Coursera is highly recommended. Not only will you gain valuable insights into battery technology, but you’ll also acquire skills that are increasingly in demand in today’s tech-driven world. Enroll today and take the first step towards becoming an expert in battery health estimation!
Enroll Course: https://www.coursera.org/learn/battery-state-of-health