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Embedded fiber-optic sensing for low-cost, high resolution monitoring in advanced batteries and IoT-connected systems
Conferences & Talks



Under the ARPA-E Advanced Management and Protection of Energy-Storage Devices (AMPED) program for advanced battery management systems, PARC and LG Chem Power (LGCPI) are developing SENSOR (Smart Embedded Network of Sensors with an Optical Readout), an optically based smart monitoring system prototype for battery packs. The system uses fiber optic sensors embedded inside Lithium-ion battery cells to accurately measure parameters indicative of cell state online, such as state-of-charge (SOC), state-of-health (SOH), and state-of-power (SOP). SENSOR leverages PARC's low-cost, high-resolution, compact wavelength-shift detection technology and intelligent algorithms to enable effective real-time performance management, optimized battery design, better reliability, and improved safety. While SENSOR is initially targeting batteries for hybrid and electric vehicles (EVs), it will be extendable to battery packs and other critical systems with similar monitoring pain points for challenging applications such as aircrafts, satellites, grid storage, structures, and military vehicles. This talk will give an overview of the project, enabling technologies, and summarize key results on cell-level state features detectable, cell state estimation algorithm development, low-cost optical readout development, and validation test results. Initial module-level tests using large-format test xEV cells with embedded fiber-optic (FO) sensors have been successful. At this stage, the technology is being hardened for use in fielded battery management systems. General Motors is leading independent validation of SENSOR in advanced chemistries and xEV packs at their battery facility. At the end, PARC’s latest developments for photonic chip integration of it’s low-cost, high-resolution optical readout to further reduce cost and size of fiber-optic system monitoring will be summarized. This can also be a key enabler for realizing the true potential and solving management challenges in other critical IoT-connected systems.


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