Algorithms for Battery Management Systems provided by Coursera is a comprehensive online course, which lasts for 35 weeks long, 4 hours a week. Algorithms for Battery Management Systems is taught by Gregory Plett. Upon completion of the course, you can receive an e-certificate from Coursera. The course is taught in Englishand is Paid Course. Visit the course page at Coursera for detailed price information.
35 weeks long, 4 hours a week
21st, Oct 2022
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.
Course 1: Introduction to battery-management systems
- This course can also be taken for academic credit as ECEA 5730, part of CU Boulder’s Master of Science in Electrical Engineering degree. ... Enroll for free.
Course 2: Equivalent Circuit Cell Model Simulation
- This course can also be taken for academic credit as ECEA 5731, part of CU Boulder’s Master of Science in Electrical Engineering degree. In ... Enroll for free.
Course 3: Battery State-of-Charge (SOC) Estimation
- This course can also be taken for academic credit as ECEA 5732, part of CU Boulder’s Master of Science in Electrical Engineering degree. In ... Enroll for free.
Course 4: Battery State-of-Health (SOH) Estimation
- 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 ... Enroll for free.
Course 5: Battery Pack Balancing and Power Estimation
- This course can also be taken for academic credit as ECEA 5734, part of CU Boulder’s Master of Science in Electrical Engineering degree. In ... Enroll for free.
