Enroll Course: https://www.coursera.org/learn/battery-state-of-health
If you’re involved in electrical engineering, battery management, or electric vehicle development, the Coursera course ‘Battery State-of-Health (SOH) Estimation’ offers an invaluable deep dive into battery degradation and health estimation techniques. Hosted by CU Boulder and part of their Master of Science in Electrical Engineering, this course is suitable for both academic credit and professional growth.
The course covers fundamental physical and chemical mechanisms that cause lithium-ion battery degradation, making it essential for understanding how batteries age over time. A significant highlight is the focus on capacity estimation methods, comparing traditional least-squares approaches with advanced total-least-squares techniques, which are more accurate for battery health monitoring.
Practical coding skills are emphasized with exercises in Octave/MATLAB, including deploying algorithms in embedded systems like Battery Management Systems (BMS). The inclusion of simulation scenarios aligned with electric vehicle applications makes this course highly relevant for anyone aiming to enhance battery performance and longevity.
Progressing through the modules, you’ll explore Kalman-filter-based estimation methods, which are cutting-edge techniques in the field. The capstone project further encourages hands-on learning by challenging students to improve data collection methods for capacity estimation.
Overall, this course is highly recommended for electrical engineers, researchers, and industry professionals seeking comprehensive knowledge and practical skills in battery health estimation. The combination of theoretical foundations, coding exercises, and real-world applications make it a must-have resource in the rapidly evolving field of battery management.
Enroll Course: https://www.coursera.org/learn/battery-state-of-health