Battery and Energy Management Needs for Lithium and non-Lithium Energy Storage Systems
* 21PESGM2633, Integrated data streams for distributed battery management systems: V. DE ANGELIS, Sandia National Laboratories * 21PESGM2634, Battery Actuators for Improved Performance, Safety, and Cycle Life: C. RAHN, Pennsylvania State University * 21PESGM2635, Model-based Battery Management System for current and next-generation batteries: V. SUBRAMANIAN, The University of Texas, Austin * 21PESGM2665, Data-driven battery health diagnostics: D. HOWEY , University of Oxford * 21PESGM2826, Hardware Architectures for Active and Passive Battery Management SystemsD. PIPENBERG, Motivo Engineering
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Members: $5.00PES
IEEE Members: $10.00
Non-members: $20.00
27 Jul 2021
As new types of batteries reach commercial maturity and applications become more sophisticated, the requirements of integrating energy storage systems with the grid become more challenging. The panel will discuss battery management needs for different chemistry types (e.g., Li-ion, Flow batteries, Alkaline, and Lead-Acid batteries) and degradation mechanisms in the field. What are the current management solutions and their limitations? How to use machine-learning techniques to predict and prevent battery degradation during operations? What are the advantages of using hybrid DC systems to standardize the integration of different battery types? How to integrate Energy Management Systems, Power Conversion Systems controls, and Battery Management Systems to respond to utility signals and increase battery lifetime?
Chairs:
Valerio De Angelis, Sandia National Laboratories, Christopher Rahn, Pennsylvania State University
Sponsor Committees:
Energy Storage &, Stationary Battery
