This course can also be taken for academic credit as ECEA 5734, part of CU Boulder’s Master of Science in Electrical Engineering degree.
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来自BATTERY PACK BALANCING AND POWER ESTIMATION的热门评论
This is one of the best and most useful specialization in my eyes. I would encourage every person interested in EV domain to learn it. Thank you Dr Gregory Plett for this course
Professor visualization is excellent and his explanation is extraordinary with the material.I am very Happy to complete this course and very Informative.
Especially the last Week 6 (Honors Course) was extremely useful, to better understand the advanced physical/chemical models for lithium batteries.
It is an excellent course for battery enthusiasts.
关于 Algorithms for Battery Management Systems 专项课程
In this specialization, you will learn the major functions that must be performed by a battery management system, how lithium-ion battery cells work and how to model their behaviors mathematically, and how to write algorithms (computer methods) to estimate state-of-charge, state-of-health, remaining energy, and available power, and how to balance cells in a battery pack.