Date of Award

5-2017

Document Type

Thesis

Degree Name

Master of Science (MS)

Legacy Department

Electrical Engineering

Committee Member

Dr. Rajendra Singh, Committee Chair

Committee Member

Dr. Simona Onori

Committee Member

Dr. William R. Harrell

Abstract

This thesis presents a new approach to battery management system control. Previous control methods did not include state of health in the decision-making process. With accurate state of health estimators available, more information should be provided to the battery management system so that a more informed decision in regards to increasing battery longevity may be made. This thesis details the development of a Simscape model for a proven state of health estimator. The Simscape model was then used to provide state of health estimations to a proposed battery management control system that prioritizes battery longevity over traditional voltage equalization battery management techniques. A physical battery management system is developed to show the difference between battery management systems that do and do not take into account state of health estimations. Areas for future work and improvements are considered.

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