DREAMS: Diagnostic Requirements for Evaluating and Advancing Module Safety

Lithium-ion batteries are more prone to fires than other battery technologies due to their inherent higher energy density as well as the flammability of especially electrode materials, separator, and electrolyte solvents. When lithium-ion batteries age, their safety can decrease considerably. However, the details on the relation between battery operation, degradation and their impact on safety are not yet well understood. DREAMS will develop time and cost-efficient methods to detect safety-critical degradation mechanisms in battery cells and modules during operation. DREAMS will expand and improve a well-known technique applied for state-of-charge estimation as an independent diagnostic technique for battery health. The technique involves finding a battery's state-of-health as well as unveiling how the battery has lost its capacity through identifying ageing modes and possibly ageing mechanisms. The technique will also be applicable as an on-line diagnostic tool on most real battery operational data to increase the overall safety of Li-ion battery systems, in transport applications as well as in stationary battery storage.

LIBs are more prone to fires than other battery technologies due to their inherent higher energy density as well as the flammability of especially electrode materials, separator, and electrolyte solvents. Ageing and degradation can contribute to considerably decrease the safety of a LIB, but the exact impact from ageing on safety of battery cells and modules is not well understood today. DREAMS will develop time and cost-efficient methods to detect safety-critical degradation mechanisms in battery cells and modules during operation. DREAMS will expand and improve a well-known technique applied for SoC estimation as an independent diagnostic technique for battery health. The technique involves finding a battery’s SoH as well as unveiling how the battery has lost its capacity through identifying ageing modes and possibly ageing mechanisms. The technique will also be applicable as an on-line diagnostic tool on most real battery operational data to increase the overall safety of Li-ion battery systems. DREAMS will be managed by Institute for Energy Technology (IFE), collaborating with the Norwegian Defense Research Establishment (FFI), the Norwegian University of Science and Technology (NTNU) and Imperial College London (ICL). These partners are major players within research on commercial Li-ion batteries, diagnostics, modelling, safety issues, testing and thermal studies. The partners supplement each other through both complementing and parallel knowledge, ensuring high scientific quality and broad impact.