CO Cross-Interference Characteristics of a Pd–Cu Fiber-Optic MEMS Hydrogen Sensor for Early Warning of Thermal Runaway in Energy Storage Batteries
In early-warning scenarios for thermal runaway in energy storage batteries, carbon monoxide (CO) may interfere with hydrogen detection and reduce the reliability of signal interpretation. To mitigate CO cross-interference under representative mixed-gas conditions and improve sensing stability, a fiber-optic microelectromechanical systems (MEMS) hydrogen sensor based on a Pd–Cu alloy-sensitive layer was developed. The sensor employs a single-cantilever structure and a reflective Fabry–Pérot (F–P) interferometer for optical readout. Comparative experiments were carried out using sensors coated with pure Pd and Pd–Cu-sensitive layers under pure H2, CO background interference, and temperature-fluctuation conditions. The Pd–Cu sensor exhibited a good linear response over 0–500 ppm H2, with a sensitivity of 0.0845 nm/ppm. Under a mixed atmosphere of 200 ppm H2 and 500 ppm CO, the Pd–Cu sensor measured 198 ppm, whereas the pure Pd sensor measured 176 ppm, corresponding to relative errors of approximately 1% and 12%, respectively. In addition, the Pd–Cu sensor showed faster response/recovery behavior and better output stability after temperature compensation. These results indicate that, under the investigated conditions, the selected Pd–Cu-sensitive layer can effectively reduce CO-induced interference and improve the accuracy and stability of fiber-optic MEMS hydrogen sensing, supporting its feasibility for representative early-warning-related monitoring scenarios in energy storage batteries.
Authors
- Junjie Jiang (ORCID: https://orcid.org/0000-0001-8752-7347)
- Mengda Li
- Yajun Jia
- Jiwei Du
- Tao Liang
Institutions
- Shanghai Jiao Tong University (CN)
- Shanghai Dianji University (CN)
- Inner Mongolia University of Technology (CN)
Publication Details
- Journal
- Sensors
- Published
- 2026-05-12
- DOI
- https://doi.org/10.3390/s26103044
- Primary Topic
- Advanced Battery Technologies Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00