Learners will start with supplied code templates (in the Octave/MATLAB language) to build their own code to simulate lithium-ion battery cells and packs, and to estimate battery cell state-of-charge, state-of-health (capacity and resistance), remaining energy, and available power.
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來自ALGORITHMS FOR BATTERY MANAGEMENT SYSTEMS的熱門評論
The introductory concepts covered were excellent and motivates me to take further courses in the specialization!
Very good course for the beginners. Mr. Plett explains the concepts so clearly and his teaching style makes the subject more interesting. This course is very useful to those who are interested in BMS.
It's a good course with excellent illustration, it just needs more examples to add more valid ways of calculations. Even thou it was a very challenging course. I enjoyed!
The course was well planned and organised! There is flexibility in the course deadline which is appreciable and suitable for students, Working professionals, faculties.
This course is really interesting .This includes the basic information of battery working which was very helpful for me as I am from Mechanical Engineering Background
Excellent introduction. Although, I have worked extensively worked on batteries I could still find lot of information which we generally tend to neglect.
This is the best online course I’ve ever taken. The professor handling this course is a very talented teacher. Very good course. I highly recommend this
I think, after the test passed, the answer should be prepared for students. By the way, It was a great opportunity for learning the function of BMS
此课程是 100% 在线学习吗？是否需要现场参加课程？
The standard version of this specialization is 20 weeks in duration. The honors track requires an additional 4 weeks of study.
What background knowledge is necessary?
This is a graduate-level specialization that assumes that learners already hold a technical undergraduate degree: a Bachelor's degree in Electrical Engineering, Computer Engineering, or Mechanical Engineering or a Bachelor's degree in a closely related engineering discipline plus undergraduate-level competency in the following areas: Math (differential and integral calculus, linear algebra, and differential equations), Science (calculus-based physics and general chemistry), and Engineering (linear circuits, electronics, and linear systems)
Do I need to take the courses in a specific order?
The courses are designed to be taken in order, from Course 1 through Course 5. Course 1 gives a broad overview, background concepts, and context for the others; Course 2 is a strong prerequisite for the remaining courses since it describes the mathematical and programming frameworks that will be used; Course 3 includes topics in random variables that are important for Course 4. Course 5 is the only exception, and may be taken any time after completing Course 2.
What will I be able to do upon completing the Specialization?
After completing the specialization, you will be able to: use laboratory data to create mathematical models of battery cells, and use these models to implement state-of-charge, state-of-health, available power (state-of-function), available energy, and balancing algorithms.