Abstract
Misalignment of vehicle wheels, especially for those heavy good vehicles (HGVs), will lead to rapid irregular wear on both tires and roads, which is extremely harmful to safe operation, human health and the environment. The traditional wheel alignment techniques mainly focus on wheel alignment inspection and adjustment at the maintenance center. However, as the uncertainty of external influence factors, the degree of wear caused by misalignment cannot be estimated. Therefore, we designed a low-power wireless wheel alignment monitoring system to monitor the wheel alignment condition in real time and long time and remind the customers to perform maintenance timely. For applications in specific scenarios and extension of battery service life, a dual wake-up strategy was proposed to wake the processor from a deep sleep state. The current of the designed system is low to 9.13μA when the processor sleeps, but a real-time clock (RTC) is enabled. A 1000mAh battery with a nominal voltage of 3.7V can work for nearly 5 years if the data is collected twice a day with the proposed dual wake-up strategy. Importantly, with the assistance of energy harvesting, it has the potential to realize a fully autonomous condition monitoring system in the future.
Original language | English |
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Title of host publication | 2021 IEEE 20th International Conference on Micro and Nanotechnology for Power Generation and Energy Conversion Applications, PowerMEMS 2021 |
Publisher | IEEE |
Pages | 124-127 |
Number of pages | 4 |
ISBN (Electronic) | 9781665422185 |
ISBN (Print) | 978-1-6654-2219-2 |
DOIs | |
Publication status | Published - 30 Dec 2021 |
Event | 20th IEEE International Conference on Micro and Nanotechnology for Power Generation and Energy Conversion Applications, PowerMEMS 2021 - Exeter, United Kingdom Duration: 6 Dec 2021 → 8 Dec 2021 |
Conference
Conference | 20th IEEE International Conference on Micro and Nanotechnology for Power Generation and Energy Conversion Applications, PowerMEMS 2021 |
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Country/Territory | United Kingdom |
City | Exeter |
Period | 6/12/21 → 8/12/21 |
Bibliographical note
Funding Information:This project is funded by Innovate UK SBRI 971703.
Keywords
- dual wake-up strategy
- ultra-low power consumption
- wheel alignment monitoring
- wireless wheel alignment monitoring system