Indirect measurement technology of new energy vehicles’ braking force under dynamic braking conditions

Abstract

Currently, direct braking-force measurement under dynamic conditions requires a considerable modification to the vehicles and has poor compatibility because there are many types of vehicles. Thus, in this paper, an indirect measurement method of new-energy vehicles’ braking force under dynamic braking conditions is proposed. The mechanical wheel and axle model at low/idling/high speeds is established using the piston-pressure formula, force transfer in the brake-wheel cylinder, relative movement between the wheel and the roller, among others. On this basis, the relationship between wheel braking force and roller-linear acceleration is further derived. Our method does not alter existing vehicle structures or sensor types. The standard sealing bolt is temporarily replaced with a hydraulic sensor for coefficient calibration. Afterward, the braking force can be indirectly calculated using the roller-linear velocity data. The method has characteristics of efficiency and high accuracy without refitting vehicles.

Keywords

Braking force / Indirect measurement technology / Vehicles / Dynamic braking condition / Electromagnetic interference (EMI) test

References

[1] Yan LX, Zhang YS, He Y, et al. Hazardous traffic event detection using Markov Blanket and sequential minimal optimization (MB-SMO). Sensors, 2016, 16(7): 1084.

[2] Yuan XL, Liu X, Zuo J. The development of new energy vehicles for a sustainable future: a review. Renew Sustain Energy Rev, 2015, 42: 298-305.

[3] Wang QD, Liu QS. Estimation of parasitic parameters and EMI improvement of a full-bridge PWM converter system in the electric vehicle. Electron World, 2016, 122: 24-29.

[4] CISPR 12:2009. Vehicles, boats and internal combustion engines—radio disturbance characteristics—limits and methods of measurement for the protection of off-board receivers

[5] ECE 10.05. Uniform provisions concerning the approval of vehicles with regard to electromagnetic compatibility

[6] SAE J551-5-2012. Performance levels and methods of measurement of magnetic and electric field strength from electric vehicles, 150 kHz to 30 MHz

[7] Zeng B, Deng JY, Lin DQ, et al. Comparison of below 30 MHz electric vehicle EMI measurements method standard. Zhongguo Ceshi, 2016, 42(9): 11-14.

[8] Guo YJ, Wang LF, Liao CL. Modeling and analysis of conducted electromagnetic interference in electric vehicle power supply system. Prog Electromagn Res, 2013, 139: 193-209.

[9] Tondato F, Bazzell J, Schwartz L, et al. Safety and interaction of patients with implantable cardiac defibrillators driving a hybrid vehicle. Int J Cardiol, 2016, 227: 318-324.

[10] Chun Y, Park S, Kim J, et al. Electromagnetic compatibility of resonance coupling wireless power transfer in on-line electric vehicle system. IEICE Trans Commun, 2014, E97B(2): 416-423.

[11] Bayar K, Biasini R, Onori S, et al. Modelling and control of a brake system for an extended range electric vehicle equipped with axle motors. Int J Veh Des, 2012, 58(2–4): 399-426.

[12] Fieldhouse J. Measurement of the dynamic centre of pressure of the disk/pad interface during a braking operation (II). Int J Veh Des, 2009, 51(1–2): 73-104.

[13] Hoseinnezhad R, Saric S, Bab-Hadiashar A. Estimation of clamp force in brake-by-wire systems: a step-by-step identification approach. SAE Tech Pap Ser, 2006, 1: 1154

[14] Xu G, Su J, Chen R, et al. Measurement performance assessment: dynamic calibration compared with static calibration method for roller tester of vehicle brake force. Adv Mech Eng, 2014, 6: 162435.

[15] Gajek A. Diagnostics monitor of the braking efficiency in the on board diagnostics system for the motor vehicles. IOP Conf Ser Mater Sci Eng, 2016, 148: 012038.

[16] Zhong SM, Huang J, Wu JJ, et al. Frame design and key technical analysis of EMI test system for new energy vehicle dynamic condition. Zhongguo Ceshi, 2017, 43(8): 76-79.

[17] Yong JW, Gao F, Ding NG, et al. Design and validation of an electro-hydraulic brake system using hardware-in-the-loop real-time simulation. Int J Auto Tech-Kor, 2017, 18(4): 603-612.

[18] Gu YF, Zhao Y, Lv RQ, et al. A practical FBG sensor based on a thin-walled cylinder for hydraulic pressure measurement. IEEE Photonics Technol Lett, 2016, 28(22): 2569-2572.

Funding

Guangzhou Science and Technology Project(201504010037)