Battery State-of-Health (SOH) Estimation
half-circle
vector

Battery State-of-Health (SOH) Estimation

Highlights

This course can also be taken for academic credit as ECEA 5733, part of CU Boulder’s Master of Science in Electrical Engineering degree. In this course, you will learn how to implement different state-of-health estimation methods and to evaluate their relative merits. By the end of the course, you will be able to: - Identify the primary degradation mechanisms that occur in lithium-ion cells and understand how they work - Execute provided Octave/MATLAB script to estimate total capacity using WLS, WTLS, and AWTLS methods and lab-test data, and to evaluate results - Compute confidence intervals on total-capacity estimates - Compute estimates of a cell’s equivalent-series resistance using lab-test data - Specify the tradeoffs between joint and dual estimation of state and parameters, and steps that must be taken to ensure robust estimates (honors)

About the Course Provider

Coursera provides access to more than 3000+ courses across a wide variety of subjects in parntership with different universities and organizations.

Course by

  • self
    Self paced
  • dueration
    Duration 23 hours
  • domain
    Domain Science & Engineering
  • subs
    Monthly Subscription
    Course is included in
    1. Starter @ AED 99 + VAT
    2. Professional @ AED 149 + VAT
  • fee
    Buy Now Option not available
  • language
    Language English