This course explains how to estimate battery SOH (State of Health) parameters: series resistance and total capacity, by using total least squares method and Kalman filters. Honestly, this course was quite boring compared to the other 4 courses of this specialization, but I found the mathematical methods explained in this course to be very useful. The Prof. explains very well and easily such complex concepts.

This course provides detailed understanding into the state-of-health estimation theory. The course is a logical follow-up to the third course in this series (Battery State-of-Charge (SOC) Estimation). The underlying maths is somewhat more demanding than in the aforementioned course, therefore, taking more time to grasp on it would be benefitial. This course requires dilligent work at home as well. I would recommend it to anyone dealing with battery control algorithms, both at the university, as well as in the private sector.

excellent course in different statistical methods (different least squares methods) of estimating capacity. So much to learn in such a condense course. Aside from many coding examples, the main purpose is to teach statistical methods for optimizing capacity estimation and evaluate the performance of different methods. Its really up to the learner how much time they like to spend, either observing every little coding detail, or to just learning the main ideas.

This Course is one of best technique in the literature point of view to compute the SOH of Lithium ion battery with Estimation and Probability techniques. I sincerely thank Dr.Plett and his team , and also Coursera team for providing this course to me.

Thanks and Yours Sincerely

Suresh Kumar.R

Very informative course that explain the causes of degradation happen on battey cells and how to estimate the main quantities that affect the battery health using different regression techniques.

It was very new to me, and very interesting stuff. It became even better with the instructor's skill.

I would love recommending it to my friends

A detailed course on battery capacity estimation, which covers overall perspectives, and complications in the SOH estimation of the battery.

Good course. Nice insight on optimization techniques. Problems and cases studies are really good

Great course with a an emphasis on using the previous courses to create useful programs

Gave brief overview of SOH and helps in understanding the basic concepts.

tThank to give an best opportunityto learn moreasily

great course. very insightful

Exceptional Professor!!

i am health estimation

good and useful

good and super

nice Course

Excellent

super

good

very

GOOD

good

good

Personally, I believe that the capsone project is really impractical, as it is defined. You do not have to apply directly the knowledge you learned throughout the ourse, but instead try thousands of combinations of the pair (dz, gamma) to obtain a really precise value for the rms error. I have spent many hous (would say more than 10) trying to achieve so, and I think I'm not the only one, considering the discussion forums. Frankly, I was really disappointed. Appart from that, the course was great, but I hope that the fact mentioned above does not discourage many people.