Journal of Automotive Safety and Energy ›› 2021, Vol. 12 ›› Issue (4): 507-515.DOI: 10.3969/j.issn.1674-8484.2021.04.009
• Automotive Safety • Previous Articles Next Articles
WANG Baolin(
), XIA Huaicheng*(
), DONG Qianqian
Received:2021-05-10
Online:2021-12-31
Published:2022-01-10
Contact:
XIA Huaicheng
E-mail:806452840@qq.com;xiahuaicheng163@sina.com
CLC Number:
WANG Baolin, XIA Huaicheng, DONG Qianqian. Correction for pulse number of indirect tire pressure monitoring system under vehicle turning condition[J]. Journal of Automotive Safety and Energy, 2021, 12(4): 507-515.
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URL: https://www.journalase.com/EN/10.3969/j.issn.1674-8484.2021.04.009
| 方向盘转角/(°) | 车速/ (km·h-1) | 标准脉冲数/个 | 原始∆N4/个 | 修正后的标准脉冲数/个 | 修正后∆Nf4/个 | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| N1 | N2 | N3 | N4 | N1’ | N2’ | N3’ | N4’ | ||||
| 10.04 | 6.14 | 100 | 100 | 100 | 100 | 0.00 | 100 | 100 | 100 | 100 | 0.00 |
| 30.05 | 55.50 | 100 | 102 | 100 | 101 | 0.33 | 100 | 101 | 100 | 100 | 0.33 |
| 50.20 | 40.68 | 100 | 103 | 100 | 102 | 1.00 | 100 | 101 | 100 | 100 | 0.33 |
| 70.19 | 31.34 | 100 | 103 | 100 | 103 | 2.00 | 100 | 100 | 100 | 100 | 0.00 |
| 89.74 | 14.62 | 100 | 104 | 100 | 104 | 2.67 | 100 | 100 | 100 | 100 | 0.00 |
| 110.00 | 23.70 | 100 | 106 | 100 | 106 | 4.00 | 100 | 101 | 100 | 101 | 0.67 |
| 130.56 | 18.94 | 100 | 108 | 100 | 106 | 3.33 | 100 | 102 | 100 | 100 | 0.67 |
| 150.22 | 20.21 | 100 | 109 | 100 | 107 | 4.00 | 100 | 101 | 100 | 99 | 1.33 |
| 170.90 | 25.00 | 100 | 110 | 100 | 109 | 5.67 | 100 | 101 | 100 | 100 | 0.33 |
| 189.30 | 10.01 | 101 | 113 | 100 | 110 | 5.33 | 101 | 103 | 100 | 100 | 1.33 |
| 210.03 | 12.45 | 100 | 112 | 100 | 112 | 8.00 | 100 | 100 | 100 | 100 | 0.00 |
| 229.88 | 13.79 | 100 | 114 | 100 | 114 | 9.33 | 100 | 101 | 100 | 101 | 0.67 |
| 249.50 | 10.37 | 100 | 113 | 100 | 114 | 9.67 | 100 | 99 | 100 | 100 | 0.33 |
| 269.85 | 13.10 | 101 | 118 | 100 | 116 | 9.67 | 101 | 102 | 100 | 100 | 1.00 |
| 290.50 | 8.90 | 100 | 118 | 100 | 117 | 11.00 | 100 | 100 | 100 | 99 | 1.00 |
| 311.00 | 14.24 | 101 | 120 | 100 | 118 | 11.00 | 101 | 101 | 100 | 99 | 1.67 |
| 328.86 | 14.95 | 100 | 121 | 100 | 121 | 14.00 | 100 | 100 | 100 | 100 | 0.00 |
| 351.27 | 13.56 | 100 | 123 | 100 | 123 | 15.33 | 100 | 100 | 100 | 100 | 0.00 |
| 370.97 | 14.17 | 100 | 124 | 100 | 124 | 16.00 | 100 | 100 | 100 | 100 | 0.00 |
| 391.32 | 13.70 | 100 | 126 | 100 | 126 | 17.33 | 100 | 100 | 100 | 100 | 0.00 |
| 410.71 | 9.17 | 101 | 128 | 100 | 127 | 17.33 | 101 | 100 | 100 | 99 | 1.33 |
| 429.01 | 17.18 | 100 | 128 | 100 | 129 | 19.67 | 100 | 99 | 100 | 100 | 0.33 |
| 449.70 | 8.46 | 100 | 130 | 100 | 131 | 21.00 | 100 | 98 | 100 | 99 | 0.33 |
| 470.83 | 11.13 | 100 | 132 | 100 | 133 | 22.33 | 100 | 98 | 100 | 99 | 0.33 |
| 490.57 | 11.66 | 101 | 138 | 100 | 137 | 24.00 | 101 | 100 | 100 | 99 | 1.33 |
| 方向盘转角/(°) | 车速/ (km·h-1) | 标准脉冲数/个 | 原始∆N4/个 | 修正后的标准脉冲数/个 | 修正后∆Nf4/个 | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| N1 | N2 | N3 | N4 | N1’ | N2’ | N3’ | N4’ | ||||
| 10.04 | 6.14 | 100 | 100 | 100 | 100 | 0.00 | 100 | 100 | 100 | 100 | 0.00 |
| 30.05 | 55.50 | 100 | 102 | 100 | 101 | 0.33 | 100 | 101 | 100 | 100 | 0.33 |
| 50.20 | 40.68 | 100 | 103 | 100 | 102 | 1.00 | 100 | 101 | 100 | 100 | 0.33 |
| 70.19 | 31.34 | 100 | 103 | 100 | 103 | 2.00 | 100 | 100 | 100 | 100 | 0.00 |
| 89.74 | 14.62 | 100 | 104 | 100 | 104 | 2.67 | 100 | 100 | 100 | 100 | 0.00 |
| 110.00 | 23.70 | 100 | 106 | 100 | 106 | 4.00 | 100 | 101 | 100 | 101 | 0.67 |
| 130.56 | 18.94 | 100 | 108 | 100 | 106 | 3.33 | 100 | 102 | 100 | 100 | 0.67 |
| 150.22 | 20.21 | 100 | 109 | 100 | 107 | 4.00 | 100 | 101 | 100 | 99 | 1.33 |
| 170.90 | 25.00 | 100 | 110 | 100 | 109 | 5.67 | 100 | 101 | 100 | 100 | 0.33 |
| 189.30 | 10.01 | 101 | 113 | 100 | 110 | 5.33 | 101 | 103 | 100 | 100 | 1.33 |
| 210.03 | 12.45 | 100 | 112 | 100 | 112 | 8.00 | 100 | 100 | 100 | 100 | 0.00 |
| 229.88 | 13.79 | 100 | 114 | 100 | 114 | 9.33 | 100 | 101 | 100 | 101 | 0.67 |
| 249.50 | 10.37 | 100 | 113 | 100 | 114 | 9.67 | 100 | 99 | 100 | 100 | 0.33 |
| 269.85 | 13.10 | 101 | 118 | 100 | 116 | 9.67 | 101 | 102 | 100 | 100 | 1.00 |
| 290.50 | 8.90 | 100 | 118 | 100 | 117 | 11.00 | 100 | 100 | 100 | 99 | 1.00 |
| 311.00 | 14.24 | 101 | 120 | 100 | 118 | 11.00 | 101 | 101 | 100 | 99 | 1.67 |
| 328.86 | 14.95 | 100 | 121 | 100 | 121 | 14.00 | 100 | 100 | 100 | 100 | 0.00 |
| 351.27 | 13.56 | 100 | 123 | 100 | 123 | 15.33 | 100 | 100 | 100 | 100 | 0.00 |
| 370.97 | 14.17 | 100 | 124 | 100 | 124 | 16.00 | 100 | 100 | 100 | 100 | 0.00 |
| 391.32 | 13.70 | 100 | 126 | 100 | 126 | 17.33 | 100 | 100 | 100 | 100 | 0.00 |
| 410.71 | 9.17 | 101 | 128 | 100 | 127 | 17.33 | 101 | 100 | 100 | 99 | 1.33 |
| 429.01 | 17.18 | 100 | 128 | 100 | 129 | 19.67 | 100 | 99 | 100 | 100 | 0.33 |
| 449.70 | 8.46 | 100 | 130 | 100 | 131 | 21.00 | 100 | 98 | 100 | 99 | 0.33 |
| 470.83 | 11.13 | 100 | 132 | 100 | 133 | 22.33 | 100 | 98 | 100 | 99 | 0.33 |
| 490.57 | 11.66 | 101 | 138 | 100 | 137 | 24.00 | 101 | 100 | 100 | 99 | 1.33 |
| [1] | 喻凡. 汽车系统动力学[M]. 南京: 机械工业出版社, 2017: 30-34. |
| YU Fan. Vehicle System Dynamics[M]. Nanjing: China Machine Press, 2017: 30-34. (in Chinese) | |
| [2] | 苏博. TPMS法规现状及未来趋势展望[J]. 中国橡胶, 2020, 36(2):23-25. |
| SU Bo. Current situation and future trend of TPMS regulations[J]. China Rubber, 2020, 36(2):23-25. (in Chinese) | |
| [3] | 韩宗奇, 鞠学坤, 王立强, 等. 转弯工况下汽车间接式TPMS监测方法[J]. 机械工程学报, 2011, 47(6):143-149. |
| HAN Zongqi, JU Xuekun, WANG Liqiang, et al. Monitoring method of indirect TPMS in case of running on curving path[J]. J Mech Engineering, 2011, 47(6):43-149. (in Chinese) | |
| [4] | 韩宗奇, 宋健, 苏丹丹, 等. 基于滚动半径法轮胎气压异常报警系统设计[J]. 汽车工程, 2008(08):721-724. |
| HAN Zongqi, SONG Jian, SU Dandan, et al. The design of a tire pressure monitoring and alarming system for vehicles based on tire rolling radius method[J]. Automotive Engineering, 2008(08):721-724. (in Chinese) | |
| [5] | 彭加耕, 王宇岱, 韩宗奇, 等. 高速工况下间接式胎压监测的影响因素研究与优化[J]. 汽车技术, 2020(9):45-51. |
| PENG Jiageng, WANG Yudai, HAN Zongqi, et al. Research and optimization on influencing factors on indirect tire pressure monitoring in high speed driving conditions[J]. Automobile Tech, 2020(9):45-51. (in Chinese) | |
| [6] | 阚一杰. 基于轮速极值统计的间接式TPMS的算法研究[D]. 秦皇岛: 燕山大学, 2015. |
| KAN Yijie. Research on algorithm of indirect TPMS based on statistics of wheel speed extremum[D]. Qinhuangdao: Yanshan University, 2015. (in Chinese) | |
| [7] | 陈平, 许男, 白帆, 等. 对接路面轮胎瞬态侧偏特性研究[J]. 机械工程学报, 2017, 53(22):143-151. |
| CHEN Ping, XU Nan, BAI Fan, et al. Tire transient cornering characteristics on μ-step road[J]. J Mech Engineering, 2017, 53(22):143-151. (in Chinese) | |
| [8] | 彭加耕, 董倩倩, 张宇, 等. 基于BP神经网络的四轮胎压监测算法研究[J]. 现代制造工程, 2021(2):43-48+65. |
| PENG Jiageng, DONG Qianqian, ZHANG Yu, et al. Study on the algorithm of four-wheel tire pressure monitoring based on BP neural network[J]. Modern Manuf Engineering, 2021(2):43-48+65. (in Chinese) | |
| [9] | 余志生. 汽车理论[M]. 北京: 机械工业出版社, 2017: 135-140. |
| YU Zhisheng. Automobile Theory[M]. Beijing: China Machine Press, 2017: 135-140. (in Chinese) | |
| [10] | 郭孔辉. 汽车操纵动力学原理[M]. 南京: 江苏科学技术出版社, 2011: 119-130. |
| GUO Konghui. Principle of vehicle handling dynamics[M]. Nanjing: Jiangsu Science and Technology Press, 2011: 119-130. (in Chinese) | |
| [11] | Susan K, Katie A. Making sense of methods and measurements: simple linear regression[J]. Clinical Simu Nursing, 2020, 48(11):94-95. |
| [12] | 濮文耀, 魏鸣, 李红斌, 等. 线性回归模型的最小二乘法基本假设在Z-I关系拟合中的应用[J]. 气象科学, 2008, 28(6):644-648. |
| PU Wenyao, WEI Ming, LI Hongbin, et al. Application of elementary assumptions of least square method in linear regress model to Z-I relation[J]. J Meteor Sci, 2008, 28(6):644-648. (in Chinese) | |
| [13] |
LI Yuanyuan, LI Jitong, HUANG Jian, et al. Fitting analysis and research of measured data of SAW micro-pressure sensor based on BP neural network[J]. Measurement, 2020, 155:107533-107534.
doi: 10.1016/j.measurement.2020.107533 URL |
| [14] | 王立强, 王斌, 王俊昌, 等. BP神经网络在轮胎气压监测系统自学习匹配中的应用[J]. 汽车技术, 2018(5):20-24. |
| WANG Liqiang, WANG Bin, WANG Junchang, et al. Application of BP neural network in tire pressure monitoring system self-learning matching[J]. Automobile Technology, 2018(5):20-24. (in Chinese) | |
| [15] | 张玘, 谢秀芬, 刘国福, 等. 弹性BP神经网络消除轮速传感器误差方法的研究[J]. 国防科技大学学报, 2008(3):131-135. |
| ZHANG Qi, XIE Xiufen, LIU Guofu, et al. Research on attenuating the wheel speed sensor errors based on resilient BP neural network[J]. J Nat‘l Univ Def Technol, 2008(3):131-135. (in Chinese) |
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