Battery State-Of-Health (SOH) Diagnosis, Management, and Customer Discovery

Required Availability

The End of Time

Preferred Majors

Computer Engineering | Computer Science | Electrical Engineering | Materials Metallurgical Engr | Mechanical Engineering

Keywords

Electronics | Matlab | artificial intelligence | machine learning | Battery | Customer Discovery | NSF | I-Corps | Computer | Customer | Circuits | Business | SOH | BMS | Battery Management Systems

Description

Participate in one or more of the following: (1) NSF I-Corps and Customer Discovery Activities, (2) Data collection and analysis for Battery State-Of-Health (SOH) Diagnosis and State-Of-Charge Estimation, (3) Design and Fabrication of electronic circuits for battery related measurements, (4) Artificial Intelligence (AI) or Machine Learning (ML) algorithms development for Battery Management Systems, and (5) Matlab Modeling or Programing for Battery Management Systems. The project is co-advised by Dr. Jaber Abu Qahouq (ECE, College of Engineering) and Dr. Rob Morgan (The Culverhouse College of Business). Additional information details are available upon request by contacting Dr. Jaber Abu Qahouq at jaberq@eng.ua.edu or Dr. Rob Morgan at rmorgan@cba.ua.edu (Please use the following subject line: Battery Project). STEM Path to the MBA students are especially welcome to apply. But this is not a requirement. Number of hours per week to be determined.

Contact Phone #

N/A

Contact Email

jaberq@eng.ua.edu and/or rmorgan@cba.ua.edu

Research Website

N/A