A Fully Integrated, Printed, Self- Rechargeable Wireless Sensor Node for Engine and Motor Condition Monitoring Richard Winslow, Chun Hsing Wu, Bernard Kim, Martin Cowell, Prof. Malcolm Keif, Prof. Ana Claudia Arias, Prof. James W. Evans, Prof. Paul K. Wright

2 Motivation Too large, requires full infrastructure Printed devices satisfy necessary form factors Prediction of Equipment FailureMarvell Nanofabrication Laboratory

3 Current (mA) Time (ms) Design and Target Specifications Thermoelectric Voltage (V) Thermoelectric Power (mW) Target prototype specifications Current draw from Texas Instruments MSP430 radio Sleep mode draw: 0.6 mA Duty Cycle < 1% of Operating Time Sleep mode draw: 0.6 mA Duty Cycle < 1% of Operating Time Battery Capacity (mAh) Capacitor Power (mW)

4 Device Components Printed Energy Generation and Storage Thermoelectric GeneratorBatterySupercapacitor Off-the-Shelf Components Texas Instruments MSP430Sensor Printed Traces Conductive silver ink

5 Manufacturing Scale-Up & Approach pressure line vacuum & heater lines stage printe r head Custom Dispenser Printer Roll-to-roll Printing Aqueous-based cathode on stainless steel foil web Organic solvent-based cathode inks on stainless steel foil web Dispenser Supercapacitor Flexographically Printed Cathode

6 Summary The authors thank the FlexTech Alliance for supporting this research, and the California Energy Commission for supporting this research under award We would also like to thank Dr. Zuoqian Wang, Dr. Deepa Madan, Dr. Jay Keist, Prof. Xiaoying Rong (Cal Poly-SLO), and Dr. Vince Battaglia (LBNL), for their contributions. Acknowledgements Designing wireless system for sensing vibrations in motors and pumps to monitor their condition Scavenging thermal energy from nearby pipes Integrating three printed energy generation and storage components onto a single substrate Developing metrics and procedures to scale individual devices to high-throughput manufacturing Investigating balance between ink manufacturing printability, and electrochemical performance and power production Thank You! Prof. Paul K. Wright Prof. James W. Evans Prof. Ana Claudia Arias Prof. Malcolm Keif Principal Investigators