Enroll Course: https://www.coursera.org/learn/battery-pack-balancing-power-estimation
If you’re looking to deepen your understanding of battery management systems (BMS) and advance your skills in designing efficient battery packs, the Coursera course ‘Battery Pack Balancing and Power Estimation’ is an excellent choice. Offered as part of CU Boulder’s Master of Science in Electrical Engineering, this course combines practical algorithm development with hands-on circuit design to prepare you for real-world applications.
Throughout the course, you will explore passive and active balancing methods, learning how to evaluate and choose appropriate designs to optimize battery performance. The curriculum covers how to design passive balancing circuits and compare their effectiveness against active methods that conserve energy. Furthermore, you’ll learn techniques to accurately estimate the remaining energy and power available in a battery pack, employing simplified models and comprehensive cell modeling with real-time data.
A standout feature is the focus on developing algorithms using Octave, a numerical computing environment, which allows you to implement and test your designs in a simulated environment. The course also delves into future directions for BMS algorithms, including physics-based modeling that could revolutionize battery safety and longevity.
The capstone project provides an opportunity to apply your knowledge practically. You will design resistor values for a passive balancing system and improve power-limits algorithms, ensuring you leave with tangible skills and a portfolio piece.
Whether you’re an electrical engineer seeking to specialize in energy storage or a student aiming to grasp advanced battery management techniques, this course is highly recommended. Its blend of theoretical knowledge and practical application equips you with the tools necessary to innovate in the field of battery technology.
Enroll Course: https://www.coursera.org/learn/battery-pack-balancing-power-estimation