RIGOROUS INVESTIGATION OF A CONTROLLABLE TORQUE LOADING SIMULATION TECHNIQUE FOR ASSESSING THE BRAKING PERFORMANCE OF VEHICLES INVOLVED IN ACCIDENTS
Volume 6, Issue 2, Pp 1-6, 2024
DOI: 10.61784/jcseev6n213
Author(s)
Grigory Volkov
Affiliation(s)
Saint Petersburg State University of Architecture and Civil Engineering, Saint Petersburg, 190005, Russia.
Corresponding Author
Grigory Volkov
ABSTRACT
In order to more accurately test the braking performance of vehicles that have lost their driving ability, this paper conducts a simulation study on the torque loading method in the braking force detection of accident vehicles. First, the feasibility and characteristics of the single-wheel braking force detection method were analyzed through experiments; then, a torque loading model based on the electromagnetic slip clutch was established, and the loading torque, excitation current and rotor were deduced based on the mechanical characteristics of the asynchronous motor The relationship between the rotational speed and the PID control algorithm were combined to propose a controllable torque loading method; finally, the simulation of torque loading control was carried out in MATLAB/Simulink, and reasonable loading time intervals and other parameters were obtained. Through the torque The loading error analysis verifies the feasibility of the method proposed in this article and lays the foundation for the braking performance detection of accident vehicles.
KEYWORDS
Accident vehicle; Braking force detection; Controllable torque
CITE THIS PAPER
Grigory Volkov. Rigorous investigation of a controllable torque loading simulation technique for assessing the braking performance of vehicles involved in accidents. Journal of Computer Science and Electrical Engineering. 2024, 6(2): 1-6. DOI: 10.61784/jcseev6n213.
REFERENCES
[1] Zhu Yuzhang. Foreign forensic identification systems. Chinese Justice, 2004(6) 91-93.
[2] SAE J2376. New-vehicle collision repair info-rmation. 2011, 05, 16.
[3] SAE J1674. Early acquisition and preservation of information in a motor vehicle accident. 2009, 08, 06.
[4] SAE J2314. Ethics for accident investigation and reconstruction (Stabilized: Feb 2011). 2011, 02, 18.
[5] SAE J2420. COE frontal strength evaluation dynamic loading heavy trucks. 2010, 10, 14.
[6] SAE J2313-1999. On-board land vehicle mayd-y reporting inter-face. 1999, 09, 28.
[7] GB 7258-2012: Technical conditions for motor vehicle operation safety. General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China, China National Standardization Administration Committee, 2012.
[8] GB/T 18344-2016: Technical specifications for automobile maintenance, testing and diagnosis. State Administration of Quality and Technical Supervision, 2017.
[9] Wei Chao, Miao Xiaokun, Wang Weifei. Discussion on the identification of vehicle braking systems in traffic accidents. Journal of Zhejiang Vocational and Technical College of Industry and Trade, 2007, 7(1): 63-65.
[10] Lou Chengzhi. Technical inspection of vehicle braking system in traffic accident. Zhejiang Central and Western Science and Technology Forum Automotive Technology Sub-forum, 2005.
[11] Yu Lixi. Judgment criteria and inspection methods for braking performance of accident vehicles. Automobile Maintenance and Repair, 2006(11): 32-34.
[12] Luo Rixing, Luo Jiulong. Method for testing the braking performance of the vehicle involved in the accident. Automobile Maintenance, 2006(5): 14-16.
[13] Xu Shengming, Sun Renyun, Huang Xianqi. Research and analysis on the braking performance of accident vehicles equipped with ABS. Small Internal Combustion Engine and Motorcycle, 2009, 38(2): 33-36.
[14] Xu Tao, Gao Wenxiang, Chen Jianguo. Application of brake performance tester in vehicle identification in traffic accidents. Automation Instrument, 2011, 32(11):72-75.
[15] Gao Deliang, Fan Zhenhua. Torque sensor principle and application. Science and Technology Communication, 2012(2).
[16] Cao Yuquan, Ai Qinghui, Bai Lili. Analysis of calculation method of asynchronous motor rotor phase inductance X20. Journal of Northwest A&F University (Natural Science Edition), 2007, 35(4): 189-191.
[17] Sun Renyun, Li Zhi. Automotive electronic induction braking fuzzy self-tuning PID parameter control. Journal of Southwest Jiaotong University, 2010, 45(3): 378-383.
[18] Sun Zhifu. MATLAB/Simulink simulation of PID controller parameter tuning. Science and Technology Communication, 2010(18).