In this course, you will learn how to implement different state-of-charge estimation methods and to evaluate their relative merits. By the end of the course, you will be able to:
This course is part of the Algorithms for Battery Management Systems Specialization
About this Course
University of Colorado Boulder
CU-Boulder is a dynamic community of scholars and learners on one of the most spectacular college campuses in the country. As one of 34 U.S. public institutions in the prestigious Association of American Universities (AAU), we have a proud tradition of academic excellence, with five Nobel laureates and more than 50 members of prestigious academic academies.
University of Colorado System
The University of Colorado is a recognized leader in higher education on the national and global stage. We collaborate to meet the diverse needs of our students and communities. We promote innovation, encourage discovery and support the extension of knowledge in ways unique to the state of Colorado and beyond.
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TOP REVIEWS FROM BATTERY STATE-OF-CHARGE (SOC) ESTIMATION
Good and a very challenging course. Really makes you work to understand even the basic concepts. Challenging theoretical and practical assignments. Lot of learning obtained from this course
The course was well planned and organised! There is flexibility in the course deadline which is appreciable and suitable for students, Working professionals, faculties.
The concepts taught were absolutely crucial for the later parts of this specialization and they were explained properly.
Great course!!! I got hands on experience with all types of kalman filter for battery state estimation.
About the Algorithms for Battery Management Systems Specialization
Frequently Asked Questions
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What will I get if I subscribe to this Specialization?
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