A Highly Sensitive, Ultrawide-Range Temperature–Pressure Dual-Mode Sensing Platform for Battery Health and Marine Monitoring

Dual-mode sensors with ultrahigh sensitivity, wide detection range, linearity, and stable temperature response are highly desirable for monitoring in extreme environments. Here, we report a temperature–pressure dual-mode sensor that leverages a synergistic enhancement mechanism, combining the ion pump effect of hexagonal boron nitride (h-BN) with the strain-regulated conductive pathways of few-layer graphene (FLG) to boost sensitivity. The high rigidity of h-BN and the stress-dispersing role of FLG ensure mechanical stability under high load, withstanding 11200 and 6000 cycles at 1 and 6 MPa, respectively. As a result, the device achieves a record-high sensitivity of 4771.2 kPa –1 with a detection limit up to 10 MPa. Meanwhile, the platinum serpentine electrode temperature sensor fabricated via magnetron sputtering exhibits highly linear (R 2 = 0.9993) and stable response characteristics within the temperature range of −20 to 140 °C after annealing treatment, with negligible pressure interference. This sensor is successfully applied to monitor lithium-ion battery expansion and deep-sea waves, capturing high-quality time-resistance–temperature sensing data. To further validate the sensor’s data utility and achieve precise prediction of battery thermal behavior, we constructed a deep learning model based on the Informer architecture. This model enables high-precision short-time temperature prediction (MAE = 4.2 °C, range accuracy = 97.36%) using the sensor-acquired data, ultimately proving the scalability of this dual-mode sensing platform in high-performance multimodal sensing under extreme conditions.

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Publication Details

Journal
ACS Applied Materials & Interfaces
Published
2026-06-17
DOI
https://doi.org/10.1021/acsami.6c02665
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.00

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article

A Highly Sensitive, Ultrawide-Range Temperature–Pressure Dual-Mode Sensing Platform for Battery Health and Marine Monitoring

Yihui Lan, Zekai Huang, Menghui Xiang, Y Li et al.
ACS Applied Materials & Interfaces
Advanced Sensor and Energy Harvesting Materials
article

A Highly Sensitive, Ultrawide-Range Temperature–Pressure Dual-Mode Sensing Platform for Battery Health and Marine Monitoring

Yihui Lan, Zekai Huang, Menghui Xiang, Y Li, Libo Gao, Junyang Li, Xiu Zhu, Longfei Yu, Yusheng Lei, Y Q Zhao, Qingfei Wu, Qi Wen, Shibo Ma, Jin Chai, Lijuan Chen
article en

Abstract

Dual-mode sensors with ultrahigh sensitivity, wide detection range, linearity, and stable temperature response are highly desirable for monitoring in extreme environments. Here, we report a temperature–pressure dual-mode sensor that leverages a synergistic enhancement mechanism, combining the ion pump effect of hexagonal boron nitride (h-BN) with the strain-regulated conductive pathways of few-layer graphene (FLG) to boost sensitivity. The high rigidity of h-BN and the stress-dispersing role of FLG ensure mechanical stability under high load, withstanding 11200 and 6000 cycles at 1 and 6 MPa, respectively. As a result, the device achieves a record-high sensitivity of 4771.2 kPa –1 with a detection limit up to 10 MPa. Meanwhile, the platinum serpentine electrode temperature sensor fabricated via magnetron sputtering exhibits highly linear (R 2 = 0.9993) and stable response characteristics within the temperature range of −20 to 140 °C after annealing treatment, with negligible pressure interference. This sensor is successfully applied to monitor lithium-ion battery expansion and deep-sea waves, capturing high-quality time-resistance–temperature sensing data. To further validate the sensor’s data utility and achieve precise prediction of battery thermal behavior, we constructed a deep learning model based on the Informer architecture. This model enables high-precision short-time temperature prediction (MAE = 4.2 °C, range accuracy = 97.36%) using the sensor-acquired data, ultimately proving the scalability of this dual-mode sensing platform in high-performance multimodal sensing under extreme conditions.

ACS Applied Materials & Interfaces
Institute of Technology of Cambodia (KH), Xiamen University (CN), Intelligent Health (United Kingdom) (GB), Ocean University of China (CN)
National Natural Science Foundation of China, Natural Science Foundation of Shandong Province, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities, Shenzhen Science and Technology Innovation Program
Life below water
Openalex Percentile: Top 12%
Advanced Sensor and Energy Harvesting Materials
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