Battery Management System for Monitoring and Diagnostics of Energy Storage Modules

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.