Indirect measurement technology of new energy vehicles' braking force under dynamic braking conditions
Sen-Ming Zhong1, Gui-Xiong Liu1, Jia-Jian Wu1, Bo Zeng2
1 School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou 510640, People's Republic of China; 2 State Key Laboratory of Environmental Adaptability for Industrial Products, Guangzhou 510663, People's Republic of China
This research is supported by the Guangzhou Science and Technology Project (Grant No. 201504010037). We thank the useful discussion with engineers of AVL List GmbH and their support, as well as the discussion with some experts of CISPR and Chinese National Technical Committee of Auto Standardization. The hydraulic sensor is supplied by Guangzhou Huamao sensing instrument Co. Ltd.
Sen-Ming Zhong, Gui-Xiong Liu, Jia-Jian Wu, Bo Zeng. Indirect measurement technology of new energy vehicles' braking force under dynamic braking conditions[J]. Advances in Manufacturing, 2019, 7(4): 389-400.
1. Yan LX, Zhang YS, He Y et al (2016) Hazardous traffic event detection using Markov Blanket and sequential minimal optimization (MB-SMO). Sensors 16(7):1084 2. Yuan XL, Liu X, Zuo J (2015) The development of new energy vehicles for a sustainable future:a review. Renew Sustain Energy Rev 42:298-305 3. Wang QD, Liu QS (2016) Estimation of parasitic parameters and EMI improvement of a full-bridge PWM converter system in the electric vehicle. Electron World 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 (2016) Comparison of below 30 MHz electric vehicle EMI measurements method standard. Zhongguo Ceshi 42(9):11-14 8. Guo YJ, Wang LF, Liao CL (2013) Modeling and analysis of conducted electromagnetic interference in electric vehicle power supply system. Prog Electromagn Res 139:193-209 9. Tondato F, Bazzell J, Schwartz L et al (2016) Safety and interaction of patients with implantable cardiac defibrillators driving a hybrid vehicle. Int J Cardiol 227:318-324 10. Chun Y, Park S, Kim J et al (2014) Electromagnetic compatibility of resonance coupling wireless power transfer in on-line electric vehicle system. IEICE Trans Commun E97B(2):416-423 11. Bayar K, Biasini R, Onori S et al (2012) Modelling and control of a brake system for an extended range electric vehicle equipped with axle motors. Int J Veh Des 58(2-4):399-426 12. Fieldhouse J (2009) Measurement of the dynamic centre of pressure of the disk/pad interface during a braking operation (II). Int J Veh Des 51(1-2):73-104 13. Hoseinnezhad R, Saric S, Bab-Hadiashar A (2006) Estimation of clamp force in brake-by-wire systems:a step-by-step identification approach. SAE Tech Pap Ser 1:1154 14. Xu G, Su J, Chen R et al (2014) Measurement performance assessment:dynamic calibration compared with static calibration method for roller tester of vehicle brake force. Adv Mech Eng 6:162435 15. Gajek A (2016) Diagnostics monitor of the braking efficiency in the on board diagnostics system for the motor vehicles. IOP Conf Ser Mater Sci Eng 148:012038 16. Zhong SM, Huang J, Wu JJ et al (2017) Frame design and key technical analysis of EMI test system for new energy vehicle dynamic condition. Zhongguo Ceshi 43(8):76-79 17. Yong JW, Gao F, Ding NG et al (2017) Design and validation of an electro-hydraulic brake system using hardware-in-the-loop real-time simulation. Int J Auto Tech-Kor 18(4):603-612 18. Gu YF, Zhao Y, Lv RQ et al (2016) A practical FBG sensor based on a thin-walled cylinder for hydraulic pressure measurement. IEEE Photonics Technol Lett 28(22):2569-2572
