Enroll Course: https://www.coursera.org/learn/battery-pack-balancing-power-estimation
In today’s fast-paced world, where renewable energy and electric vehicles are becoming more prevalent, understanding battery technology is essential. Coursera’s course, “Battery Pack Balancing and Power Estimation,” offered as ECEA 5734 for academic credit through CU Boulder’s Master of Science in Electrical Engineering, is an invaluable resource for anyone looking to delve into this crucial field.
### Course Overview
This course provides a comprehensive examination of battery management systems, particularly focusing on the balancing of battery packs and the estimation of available power. The need for such knowledge is increasingly recognized as batteries play a central role in energy storage solutions and electric vehicle performance.
### What You Will Learn
By the end of this course, students will be equipped to:
– **Evaluate Design Choices**: Understand the pros and cons of different cell balancing methodologies and articulate their merits.
– **Design Passive Balancing Circuits**: Acquire the skills to design component values for a simple passive balancing circuit effectively.
– **Write Algorithms in Octave**: Implement algorithms for control tasks like balancing and power-limits computations using Octave.
### Syllabus Breakdown
1. **Passive Balancing Methods**: This section covers passive balancing techniques, the reasons behind battery pack imbalance, and how to employ passive circuits to rectify these issues.
2. **Active Balancing Methods**: Here, students will learn active balancing methods that conserve energy, writing Octave code to analyze battery pack imbalances and their correction methodology.
3. **Power Estimation with a Simplified Model**: This week focuses on extending the High-Precision Power Control methods to determine available battery power by considering constraints such as State of Charge (SOC) and load power.
4. **Comprehensive Cell Model**: Dive deeper into a more complex model that provides a realistic assessment of battery power limitations by leveraging full state information from recursive filters.
5. **Future BMS Algorithms**: This section introduces innovative concepts for Battery Management Systems (BMS), emphasizing physics-based models rather than simplistic circuit-based approaches.
6. **Capstone Project**: To culminate the learning experience, students will engage in a hands-on capstone project tailored toward designing resistor values for passive balancing systems and enhancing power-limit methods based on HPPC approaches.
### Why You Should Enroll
Whether you are an aspiring engineer, an energy enthusiast, or someone looking to expand your knowledge in battery technology, this course is incredibly beneficial. The blend of theoretical understanding and practical application through Octave coding prepares learners for real-world challenges in energy management. The course structure, combined with high-quality content from CU Boulder, ensures that students leave with the confidence to tackle complex problems in battery systems.
In summary, “Battery Pack Balancing and Power Estimation” is a must-take course on Coursera. With its well-rounded curriculum and hands-on capstone project, you will gain essential skills that are highly relevant in today’s technology-driven landscape. Don’t miss the opportunity to empower your career through this significant learning experience!
Enroll Course: https://www.coursera.org/learn/battery-pack-balancing-power-estimation