Williams-Pyro, Inc. proposes to develop a Smart Energy Management System (SEMS) capable of advanced battery state-of-health diagnostics without the dependence on previous battery data. This powerful state-of-health diagnostics, coupled with extensive safety parameters to prevent abuse and a distributed communications network, will provide complete conditional awareness of the battery system. None of the battery management systems used today have a true state-of-health diagnostic, but instead rely on meticulous records over time to track a batterys decline. This log book dependence makes these systems sensitive to data loss and minor measurement errors that can build up over time; moreover, these systems are completely unable to predict accurate state-of-health without an adequately long battery history starting from first use, which completely breaks down if used batteries are ever moved. In contrast, Williams-Pyro will develop a neural network-based battery diagnostics system derived from an understanding of battery chemistry with no dependence on battery history. This technology will manage and diagnose the state-of-health of many different battery chemistries and even distinguish between them if needed, all while relying only on real-time data acquisition.
Keywords: Bms, Bms, Battery State-Of-Health, Battery Management, Sems, Neural Network, Battery Chemistry, Battery Safety, Energy Management
