A Sensor Parameter Calibration Method of Tire Pressure Monitor System Based on Linear Regression Technology
- DOI
- 10.2991/ic3me-15.2015.203How to use a DOI?
- Keywords
- A linear calibration model; Linear regression technology; Least square method; Sensor parameter calibration; Tire Pressure Monitor System
- Abstract
The regular sensors that are used for TPMS (Tire Pressure Monitor System) are some inaccuracies for collecting parameters. Thus, a new error correction method is proposed to calibrate tire pressure values based on linear regression technology. And based on the way a friendly interactive TPMS is achieved. The parameters of tire pressure sensors are determined by the experiment. And sensor parameter calibration is based on least square method to fit the values. Furthermore, a linear calibration model is obtained through continuous linear regression analysis. Finally, the optimal calibration model corrects the raw data, so the use of the model greatly improves the accuracy of TPMS. And it greatly improves the stability and flexibility of traditional TPMS. The testing and practice has proved the feasibility of the model.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Meiling Li AU - Xiaopeng Ji AU - Hao Liu AU - Zhiqiang Wei PY - 2015/08 DA - 2015/08 TI - A Sensor Parameter Calibration Method of Tire Pressure Monitor System Based on Linear Regression Technology BT - Proceedings of the 3rd International Conference on Material, Mechanical and Manufacturing Engineering PB - Atlantis Press SP - 1051 EP - 1056 SN - 2352-5401 UR - https://doi.org/10.2991/ic3me-15.2015.203 DO - 10.2991/ic3me-15.2015.203 ID - Li2015/08 ER -