|
二维码（扫一下试试看！） |
| 智能轮胎的垂向力预测应用研究 |
| Tire Vertical Force Estimation based on Smart Tire System |
| Received:October 11, 2018 Revised:October 11, 2018 |
| DOI：10.12135/j.issn.1006-8171.2019.02.0117 |
| 中文关键词: 智能轮胎；垂向力；多传感器融合；预测算法 |
| 英文关键词: smart tire；vertical force；multi-sensor fusion；prediction algorithm |
| 基金项目: |
| 中图分类号: |
| Author Name | Affiliation | E-mail | | wangyan* | Tsinghua University | 824239418@qq.com | | LIN Bingqin | Tsinghua University；Qingdao University of Technology | | | LIANG Guanqun | Tsinghua University | | | WEI Yintao | Tsinghua University | |
|
| Hits: 1103 |
| Download times: 503 |
| 中文摘要: |
| 选用MEMS加速度传感器搭建智能轮胎的硬件测试系统，并利用该系统实现对轮胎垂向力的预测。为了获取各种工况下的智能轮胎传感器数据，同时对预测算法进行验证，分别进行了转鼓台架试验和实车试验。结果表明，基于智能轮胎的垂向力预测算法具有较高的精度，可以满足工程应用要求。 |
| 英文摘要: |
| The hardware test system of smart tire was built by using the MEMS accelerometer，and the tire vertical force was predicted by the system.In order to obtain the data of smart tire sensor under various working conditions，and verify the prediction algorithm，the drum bench test and vehicle experiment were carried out respectively.The results showed that，the vertical force prediction algorithm based on smart tire had high accuracy，and could meet the requirements of engineering applications. |
|
View Full Text
View/Add Comment Download reader |
| Close |
