Design and Parameter Identification of Wireless Torque Test System for Hybrid Vehicles
In complex road conditions, the dynamic accuracy of the torque generated by the actual running of the vehicle is poor in the traditional bench test, it is difficult to simulate the real driving state, and the real car test has problems such as narrow space, large vibration and bad environment. To so...
Saved in:
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | zho |
Published: |
Editorial Office of Journal of Mechanical Transmission
2024-01-01
|
Series: | Jixie chuandong |
Subjects: | |
Online Access: | http://www.jxcd.net.cn/thesisDetails?columnId=55408682&Fpath=home&index=0 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1841546948037836800 |
---|---|
author | Li Jie Zhou Yijian Geng Chong Pang Jinlu |
author_facet | Li Jie Zhou Yijian Geng Chong Pang Jinlu |
author_sort | Li Jie |
collection | DOAJ |
description | In complex road conditions, the dynamic accuracy of the torque generated by the actual running of the vehicle is poor in the traditional bench test, it is difficult to simulate the real driving state, and the real car test has problems such as narrow space, large vibration and bad environment. To solve this problem, an innovative embedded torque test system based on the wireless technology is designed. Considering the internal space structure of the drive system, the test body is customized in the module design. The calibration linearity of the test system is 0.703%, the linear error is small, the precision is high, and a test system with strong dynamic performance and good anti-interference is built. The data of real vehicle torque and speed are obtained by the road test. The system identification method is used to iteratively identify the experimental data, the 6-order identification value is obtained, and the root-mean-square error of the model is 1.678 5. According to the test results, the maximum error of the model is 8.456 9 N·m, 1.78 N·m and 5.4 N·m respectively under the three dynamic conditions of rapid acceleration, slow acceleration and emergency braking, and the average error is less than 4%. The reliability of the test data is further verified, which provides an effective data basis for the accurate prediction of torque model. |
format | Article |
id | doaj-art-7bce419c95f740349811b5f870c1cabe |
institution | Kabale University |
issn | 1004-2539 |
language | zho |
publishDate | 2024-01-01 |
publisher | Editorial Office of Journal of Mechanical Transmission |
record_format | Article |
series | Jixie chuandong |
spelling | doaj-art-7bce419c95f740349811b5f870c1cabe2025-01-10T15:00:22ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392024-01-011755408682Design and Parameter Identification of Wireless Torque Test System for Hybrid VehiclesLi JieZhou YijianGeng ChongPang JinluIn complex road conditions, the dynamic accuracy of the torque generated by the actual running of the vehicle is poor in the traditional bench test, it is difficult to simulate the real driving state, and the real car test has problems such as narrow space, large vibration and bad environment. To solve this problem, an innovative embedded torque test system based on the wireless technology is designed. Considering the internal space structure of the drive system, the test body is customized in the module design. The calibration linearity of the test system is 0.703%, the linear error is small, the precision is high, and a test system with strong dynamic performance and good anti-interference is built. The data of real vehicle torque and speed are obtained by the road test. The system identification method is used to iteratively identify the experimental data, the 6-order identification value is obtained, and the root-mean-square error of the model is 1.678 5. According to the test results, the maximum error of the model is 8.456 9 N·m, 1.78 N·m and 5.4 N·m respectively under the three dynamic conditions of rapid acceleration, slow acceleration and emergency braking, and the average error is less than 4%. The reliability of the test data is further verified, which provides an effective data basis for the accurate prediction of torque model.http://www.jxcd.net.cn/thesisDetails?columnId=55408682&Fpath=home&index=0HybridDynamic torqueWireless testingSystem identification methodAccurate forecasting |
spellingShingle | Li Jie Zhou Yijian Geng Chong Pang Jinlu Design and Parameter Identification of Wireless Torque Test System for Hybrid Vehicles Jixie chuandong Hybrid Dynamic torque Wireless testing System identification method Accurate forecasting |
title | Design and Parameter Identification of Wireless Torque Test System for Hybrid Vehicles |
title_full | Design and Parameter Identification of Wireless Torque Test System for Hybrid Vehicles |
title_fullStr | Design and Parameter Identification of Wireless Torque Test System for Hybrid Vehicles |
title_full_unstemmed | Design and Parameter Identification of Wireless Torque Test System for Hybrid Vehicles |
title_short | Design and Parameter Identification of Wireless Torque Test System for Hybrid Vehicles |
title_sort | design and parameter identification of wireless torque test system for hybrid vehicles |
topic | Hybrid Dynamic torque Wireless testing System identification method Accurate forecasting |
url | http://www.jxcd.net.cn/thesisDetails?columnId=55408682&Fpath=home&index=0 |
work_keys_str_mv | AT lijie designandparameteridentificationofwirelesstorquetestsystemforhybridvehicles AT zhouyijian designandparameteridentificationofwirelesstorquetestsystemforhybridvehicles AT gengchong designandparameteridentificationofwirelesstorquetestsystemforhybridvehicles AT pangjinlu designandparameteridentificationofwirelesstorquetestsystemforhybridvehicles |