Battery Management System for Monitoring and Diagnostics of Energy Storage Modules
Navy SBIR FY2011.3


Sol No.: Navy SBIR FY2011.3
Topic No.: N113-177
Topic Title: Battery Management System for Monitoring and Diagnostics of Energy Storage Modules
Proposal No.: N113-177-0157
Firm: Luna Innovations Incorporated
1 Riverside Circle
Suite 400
Roanoke, Virginia 24016
Contact: Jeffrey Demo
Phone: (434) 220-9443
Web Site: www.lunainnovations.com
Abstract: As energy requirements grow with continued advancement of the Navy's electric ships, the role of efficient, reliable energy storage systems becomes more and more critical in the execution of naval operations. The use of advanced electrical systems onboard Navy ships enables enhanced functionality, increased fuel savings, and reduced dependence on conventional fuel sources. Although energy storage technologies have advanced significantly in the previous decades, the ability to monitor these systems, diagnose failures, and predict remaining useful life has not progressed at the same rate as the storage systems. As such, in order to allow Navy ships to perform advanced diagnostics on existing and future energy storage systems, Luna proposes the development of an electro-impedance spectroscopy based battery monitoring system (BMS) to autonomously identify energy storage type, determine system state of health, and adjust operational parameters to ensure optimal system usage. The proposed BMS will employ open architecture design principles, be adaptable to a wide range of energy storage technologies, and be easily integrated into existing and future naval platforms. The system's embedded intelligence will allow for advanced algorithms to be executed on platform, providing for the highest level of accuracy, repeatability, and reliability in energy storage module monitoring.
Benefits: In addition to the advantages that the Navy will attain as a result of integrating the proposed system into the electric ship fleet, there are numerous other applications for the technology in both the military and commercial sectors. Many advanced weapons systems within the military utilize various energy storage technologies, most of which currently use minimal monitoring and diagnostic technologies. The proposed system can easily integrate with these weapons systems to provide an indication of the weapon's state of health, knowledge that is critical to the system's users. Furthermore, as hybrid and electric vehicles become more prevalent in everyday society, the need to monitor and optimize the usage of their energy storage devices is becoming a major performance and safety concern. The integration of this system into future commercial hybrid and electric vehicles will significantly increase the safety and reliability of the vehicles, allowing them better market penetration and decreasing the nation's dependency on fossil fuels and foreign oil supplies.

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