Document Type

Thesis - University Access Only

Award Date

2012

Degree Name

Master of Science (MS)

Department / School

Construction and Operations Management

First Advisor

Huitian Lu

Abstract

The advent of Prognostics and Health Management (PHM) has brought in its iv wake numerous efforts at ensuring reliability of systems. This ongoing research has successfully devised Data-Driven, Model-Based, and/or Hybrid approaches to monitoring the health condition of a system and its components. The Fiber Nickel Cadmium battery (FNC) is the improved and most suitable of the various designs ofNickel-Cadmium (Ni-Cd) batteries. They are chosen for military and space applications because they can be operated at relatively high discharge rates and over wide temperature ranges, and are lighter in weight. One of the important issues in determining the remaining life of aerospace batteries is to monitor their real-time State-of-Charge (SOC) and State-of-Health (SOH). Hence, development of an efficient method for monitoring their online State-of-Charge (SOC) and State-of-Health (SOH) is of high importance for a variety of applications. Open circuit voltage, as one parameter used for predicting the SOC of the battery, is not readily available during charge and discharge cycles. A wide variety of research has been done on SOC and SOH estimation techniques for the aerospace batteries. Most of these researches rely upon open circuit voltage of the battery. This thesis focuses on manufacturing batteries for reliability and long life, emphasizing the State-of-Charge and State-of-Health monitoring of chemical batteries while the battery is under load. The usage of batteries - working conditions, Remaining Useful Life (RUL) modeling and assessment are studied. Also, a case study of a Battery Management System (BMS) to monitor the temperature, voltage and current of a battery pack has been developed. This BMS has been used to validate the proposed method of health monitoring. The research problem includes the design and manufacture of batteries for efficiency, usage and behavioral characteristics and how it varies based on the specific properties of the battery such as the amount of remaining charge, the amount of available charge or the health status of the battery and test conditions like temperature and current. In order to detect the health status, various possible faults which can occur inside a battery have been identified. Case studies of the behavior of the battery under different faults have been simulated and investigated. Using case studies, the chemical characteristics of the batteries and possible internal changes corresponding to different faults are modeled. The impact of the exposure to and release of chemical components of batteries into the environment, and options for recycling are explored. Although the focus of the research in this thesis is on the Ni-Cd batteries, the developed methods can be used for other types of chemical batteries. The above mentioned steps have been supported by simulation and experimental results.

Library of Congress Subject Headings

Nickel -- cadmium batteries
Aerospace industries

Publisher

South Dakota State University

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Rights Statement

In Copyright