
NSF Org: |
ECCS Division of Electrical, Communications and Cyber Systems |
Recipient: |
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Initial Amendment Date: | July 22, 2015 |
Latest Amendment Date: | September 23, 2021 |
Award Number: | 1509824 |
Award Instrument: | Standard Grant |
Program Manager: |
Aranya Chakrabortty
ECCS Division of Electrical, Communications and Cyber Systems ENG Directorate for Engineering |
Start Date: | August 1, 2015 |
End Date: | February 28, 2022 (Estimated) |
Total Intended Award Amount: | $181,539.00 |
Total Awarded Amount to Date: | $195,849.00 |
Funds Obligated to Date: |
FY 2016 = $16,000.00 |
History of Investigator: |
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Recipient Sponsored Research Office: |
801 UNIVERSITY BLVD TUSCALOOSA AL US 35401-2029 (205)348-5152 |
Sponsor Congressional District: |
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Primary Place of Performance: |
801 University Blvd. Tuscaloosa AL US 35486-0005 |
Primary Place of
Performance Congressional District: |
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Unique Entity Identifier (UEI): |
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Parent UEI: |
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NSF Program(s): | EPCN-Energy-Power-Ctrl-Netwrks |
Primary Program Source: |
01001617DB NSF RESEARCH & RELATED ACTIVIT |
Program Reference Code(s): |
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Program Element Code(s): |
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Award Agency Code: | 4900 |
Fund Agency Code: | 4900 |
Assistance Listing Number(s): | 47.041 |
ABSTRACT
The main goal of the project is to investigate and develop methods for State-of-Health (SOH) diagnosis and early fault detection for Lithium-Ion (Li-Ion) batteries and systems, which are becoming increasingly important and critical for the performance, safety and efficiency in the growing number of applications where Li-Ion battery systems are utilized. To mention a few, these applications include Electric and Hybrid-Electric Vehicles (EVs and HEVs), Consumer Portable Electronics, More Electric Aircraft (MEA), Aerospace Systems, and the large-scale integration of renewable energy into the power grid, among others. As a battery ages, its SOH slowly degrades, resulting in capacity and power degradation. Compared to the slow aging process, battery faults such as short-circuiting and overheating are faster processes that might cause catastrophic failure of the battery system, such as thermal runaway and catching fire. Moreover, the research and development of batteries with high energy densities is expected to make catastrophic failures of batteries a larger issue. This project aims at developing methods for smart energy storage battery systems which allow for online real-time diagnosis and estimation of the health of the battery system, and provide early fault detection in order to alleviate failures. Related control technology, algorithms, and architectures will be devised and developed in the course of the project.
The project will (1) conduct thorough experimental study and analysis on the online real-time behavior of battery system parameters including the behavior of the electrochemical AC impedance of Li-Ion batteries and under different loading conditions as a function of upcoming faults; (2) develop online real-time adaptive algorithms and control schemes that utilize the online real-time parameters of Li-Ion batteries for SOH diagnosis and early fault detection; and (3) investigate methods that potentially can delay/alleviate faults. This might partially be facilitated by: (1) practical methods that allow for online real-time AC impedance estimation through power converter control and other parameters without the interruption of system operation and performance; and (2) adaptive utilization of each cell or module based on its health by utilizing energy sharing control as a function of real-time battery SOH. The project will make significant contributions to the management of energy storage systems and their safety, health diagnosis, and early fault detection. Advances in energy storage management and safety impact many critical applications including many that are important for our daily lives such as in consumer electronics, aerospace, medical, military, electric and hybrid vehicles, and power grid energy storage applications, among others. Safe and reliable battery systems reduce the risk of catastrophic failure that can cause inconvenience and/or injury and can be costly. On the other hand, advances in energy storage systems can enable increased utilization of renewable energy sources and therefore reduction in greenhouse gas emissions, reduction in dependence on foreign oil imports and resources, and support U.S. economic and environmental security. The project results will be disseminated through refereed journal and conference publications, classroom educational components, seminars, lectures and public demonstrations.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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PROJECT OUTCOMES REPORT
Disclaimer
This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.
Batteries and battery systems, especially high-density Lithium-Ion (Li-Ion) batteries and systems, are increasingly being used in and are becoming increasingly critical for a growing number of applications. As a result, battery management methods and techniques for the determination of batteries’ State-of-Health (SOH), safety, and utilization efficiency need to be developed to ensure the safety and reliability of battery powered systems.
As a result of funding from the National Science Foundation, the research conducted during this project led to making contributions in the area of health monitoring of Li-Ion batteries to increase their health monitoring speed and accuracy, their utilization efficiency, and safety. These include but are not limited to experimental investigation of health indicators especially those that are based on complex impedance spectrum information, development of methods and online algorithms for identified health indicators that can be used for fast determination of Li-Ion batteries State-of-Health, development of method that allows for online complex impedance spectrum measurement or estimation through power converter control without the interruption of system operation, and development of method that allows for adaptive utilization of batteries based on their individual health status.
Results from the project have been made available publicly and to other researchers through publications. Graduate and undergraduate students received education and training under this project which support future workforce development. Results and experimental hardware from this project were used in demonstrations and presentations during several activities and venues with participation by persons for underrepresented and minority groups, middle and high school students, and undergraduate and graduate engineering students, among others.
Fast and accurate health monitoring and safety of batteries impact wide range of important applications and products that are increasingly using batteries and impact people’s daily lives. These applications and products are such as electric and hybrid-electric vehicles, electric or more electric aircrafts, electric boats, second-use battery systems, green homes and buildings, off-power-grid homes and buildings, backup battery systems for computing infrastructure in data centers, communication systems, hospitals and grid or micro-grid scale energy storage, and consumer electronics, among others. On the other hand, advances made in energy storage systems can enable increased utilization of renewable energy sources and therefore reduction in greenhouse gas emissions, reduction in dependence on foreign oil imports and resources, and support U.S. economic and environmental security.
Last Modified: 06/26/2022
Modified by: Jaber Abu Qahouq
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