Main Article Content

Abstract

The brake system is one of the most critical parts of a vehicle's technology for avoiding accidents. The ultimate focus of the braking system is to guarantee that adequate stopping force is available to stop the vehicle's longitudinal movement. Therefore, the ability of a brake system to stop a vehicle must be examined in terms of analyzing the brake system's performance and the implementation of the brake system on actual vehicles. This study offers a performance evaluation of the Electronic Wedge Brake based on the Cone Wedge Shape (CW-EWB) on the vehicle brake systems. The evaluation was carried out through dynamic assessments, namely sudden braking tests at constant speeds of 40, 60, and 90 km/h using the MATLAB Simulink software simulation method and an experimental study using hardware-in-loop simulation (HILS). In the simulation study, the performance of the vehicle brake system using CW-EWB was compared with the brake performance of the vehicle using the conventional hydraulic brake (CHB). The results showed that CW-EWB behaved similarly to the hydraulic brake in terms of required brake torque output but with a faster response time, i.e., between 0.5 – 1 s. The HILS experimental study was conducted to evaluate the performance of the CW-EWB on actual vehicles. This method confirmed the HILS results against the simulation results with a variable response time of less than 6%. Vehicle body speed, wheel speed, longitudinal tire slip, and stopping distance experienced by the vehicle were all evaluated. The study's findings show that the proposed CW-EWB is quite effective and sufficiently dependable to be used as a vehicle brake system, notably in Antilock Braking Systems.

Keywords

Performance evaluation Cone wedge shape Electronic wedge brake HILS Sudden braking test

Article Details

References

  1. V. Dankan Gowda, A. C. Ramachandra, M. N. Thippeswamy, C. Pandurangappa, and P. Ramesh Naidu, “Modelling and performance evaluation of anti-lock braking system,” Journal of Engineering Science and Technology, vol. 14, no. 5, pp. 3028–3045, 2019.
  2. M. H. Che Hasan, M. K. Hassan, and F. Ahmad, “Modelling and Simulation of Electronic Wedge Brake Based Antilock Brake System,” International Journal of Advanced Control and Automation System, 2019.
  3. F. Ahmad, K. Hudha, S. A. Mazlan, H. Jamaluddin, V. R. Aparow, and M. R. M. Yunos, “Simulation and experimental investigation of vehicle braking system employing a fixed caliper based electronic wedge brake,” Simulation, vol. 94, no. 4, pp. 327–340, 2018, doi: 10.1177/0037549717733805.
  4. M. L. H. Muhammad Luqman et al., “Design and clamping force modelling of electronic wedge brake system for automotive application,” International Journal of Vehicle Systems Modelling and Testing, vol. 8, no. 2, pp. 145–156, 2013, doi: 10.1504/IJVSMT.2013.054478.
  5. F. Ahmad et al., “Modelling and control of a fixed calliper-based electronic wedge brake,” Strojniski Vestnik/Journal of Mechanical Engineering, vol. 63, no. 3, pp. 181–190, 2017, doi: 10.5545/sv-jme.2016.3508.
  6. W. Batayneh, M. Jaradat, and A. Bataineh, “Intelligent adaptive control for anti-lock braking system,” in ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE), 2018, vol. 4A-2018, pp. 1–13, doi: 10.1115/IMECE2018-87659.
  7. S. I. Haris, F. Ahmad, A. K. M. Yamin, and A. Saad, “Review on the design structure and research implemented on electronic wedge brake.”
  8. Á. Semsey and R. Roberts, “Simulation in the development of the Electronic Wedge Brake,” SAE Technical Papers, vol. 1, no. 724, 2006, doi: 10.4271/2006-01-0298.
  9. V. R. R. Aparow, K. Hudha, F. Ahmad, and H. Jamaluddin, “Development of Antilock Braking System Using Electronic Wedge Brake Model,” Journal of Mechanical Engineering and Technology, vol. 6, no. 1, pp. 37–64, 2014.
  10. K. Han, K. Huh, J. Chun, M. Kim, and J. Kim, “Design Of Hardware Architecture And Control Algorithm For The Electronic Wedge Brake,” in Proceedings of the ASME 2010 Dynamic Systems and Control Conference DSCC2010, 2010, pp. 1–6, doi: 10.1115/DSCC2010-4115.
  11. V. A. Ivanov, “Adjustable Electromechanical Wedge Brakes With Reduced Energy Consumption,” Proceedings of the ASME 2011 International Mechanical Engineering Congress & Exposition IMECE2011 November 11-17, 2011, Denver, Colorado, USA, pp. 1–8, 2015, doi: 10.1115/IMECE2011-62915.
  12. J. G. Kim, M. J. Kim, J. H. Chun, and K. Huh, “ABS / ESC / EPB Control of Electronic Wedge Brake,” SAE Technical Papers, pp. 2010-01–0074, 2012, doi: 10.4271/2010-01-0074.
  13. J. S. Cheon, “Brake by wire system configuration and functions using front EWB (Electric Wedge Brake) and rear EMB (Electro-Mechanical Brake) actuators,” SAE Technical Papers, vol. 1, 2010, doi: 10.4271/2010-01-1708.
  14. L. M. Ho, R. Roberts, H. Hartmann, and B. Gombert, “The electronic wedge brake-EWB,” 2006, doi: 10.4271/2006-01-3196.
  15. W. Li, Q. Zhang, and Y. Zhang, “The Effect of ADRC on Vehicle Braking Performance,” Journal of Electrical Engineering and Technology, vol. 15, no. 2, pp. 705–712, 2020, doi: 10.1007/s42835-019-00340-5.
  16. M. A. A. Emam, A. S. Emam, S. M. El-Demerdash, S. M. Shaban, and M. A. Mahmoud, “Performance of Automotive Self Reinforcement Brake System,” Journal of Mechanical Engineering, vol. 1, no. 1, pp. 4–10, 2012.
  17. J. Fox, R. Roberts, C. Baier-Welt, L. M. Ho, L. Lacraru, and B. Gombert, “Modeling and Control of a Single Motor Electronic Wedge Brake,” SAE Technical Paper, pp. 2007-01–0866, 2007, doi: 10.4271/2007-01-0866.
  18. N. M. Ghazaly, “A Preliminary Experimental Investigation of a New Wedge Disc Brake,” Int. Journal of Engineering Research and Applications, vol. 3, no. 6, pp. 735–744, 2013.
  19. H. Hartmann, M. Schautt, A. Pascucci, and B. Gombert, “eBrake® - The Mechatronic Wedge Brake,” SAE Technical Paper Series, vol. 1, no. 724, 2010, doi: 10.4271/2002-01-2582.
  20. C. H. Jo et al., “Design and control of an upper-wedge-type electronic brake,” Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, vol. 224, no. 11, pp. 1393–1405, 2010, doi: 10.1243/09544070JAUTO1268.
  21. J. G. Kim, M. J. Kim, J. K. Kim, and K. H. Noh, “Developing of Electronic Wedge Brake with Cross Wedge,” SAE Technical Paper, pp. 2009-01–0856, 2009, doi: 10.4271/2009-01-0856.
  22. H. Park and S. B. Choi, “Development of a sensorless control method for a self-energizing brake system using noncircular gears,” IEEE Transactions on Control Systems Technology, vol. 21, no. 4, pp. 1328–1339, 2013, doi: 10.1109/TCST.2012.2204750.
  23. M. H. Putz, “VE mechatronic brake: Development and investigations of a simple electro mechanical brake,” SAE Technical Papers, 2010, doi: 10.4271/2010-01-1682.
  24. R. Roberts, M. Schautt, H. Hartmann, and B. Gombert, “Modelling and Validation of the Mechatronic Wedge Brake,” SAE International, 2003, doi: 10.4271/2003-01-3331.
  25. L. Yu, L. Ma, J. Song, and X. Liu, “Magnetorheological and Wedge Mechanism-Based Brake-by-Wire System with Self-Energizing and Self-Powered Capability by Brake Energy Harvesting,” IEEE/ASME Transactions on Mechatronics, vol. 21, no. 5, pp. 2568–2580, 2016, doi: 10.1109/TMECH.2015.2512579.
  26. V. R. Aparow, K. Hudha, F. Ahmad, and H. Jamaluddin, “Modeling and validation of electronic wedge brake mechanism for vehicle safety system,” Jurnal Teknologi, vol. 75, no. 1, pp. 183–191, 2015, doi: 10.11113/jt.v75.5286.
  27. F. Ahmad, S. A. Mazlan, H. Zamzuri, K. Hudha, and H. Jamaluddin, “Study on the potential application of electronic wedge brake for vehicle brake system,” International Journal of Modelling, Identification and Control, vol. 23, no. 4, p. 306, 2015, doi: 10.1504/IJMIC.2015.070650.
  28. V. R. Aparow, K. Hudha, F. Ahmad, and H. Jamaluddin, “Model-in-the-loop simulation of gap and torque tracking control using electronic wedge brake actuator,” International Journal of Vehicle Safety, vol. 7, no. 3–4, pp. 390–408, 2014, doi: 10.1504/IJVS.2014.063250.
  29. R. Roberts et al., “Testing the mechatronic wedge brake,” SAE Technical Papers, vol. 1, no. 724, pp. 2004-01–2766, 2004, doi: 10.4271/2004-01-2766.
  30. K. Han, M. Kim, and K. Huh, “Modeling and control of an electronic wedge brake,” Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, vol. 226, no. 10, pp. 2440–2455, 2012, doi: 10.1177/0954406211435584.
  31. M. H. Che Hasan, M. Khair Hassan, F. Ahmad, and M. H. Marhaban, “Modelling and Design of Optimized Electronic Wedge Brake,” in 2019 IEEE International Conference on Automatic Control and Intelligent Systems, I2CACIS 2019 - Proceedings, 2019, no. June, pp. 189–193, doi: 10.1109/I2CACIS.2019.8825045.
  32. F. Ahmad et al., “Fuzzy fractional PID gain controller for antilock braking system using an electronic wedge brake mechanism,” International Journal of Vehicle Safety, vol. 10, no. 2, p. 97, 2018, doi: 10.1504/IJVS.2018.094154.
  33. F. Ahmad, M. S. Amri, and Z. Hairi, “Modeling and Validation of Quarter Vehicle Traction Model,” Applied Mechanics and Materials, vol. 554, no. 01, pp. 489–493, Jun. 2014, doi: 10.4028/www.scientific.net/AMM.554.489.
  34. Z. Dalimus, “Braking System Modeling and Brake Temperature Response to Repeated Cycle,” Journal of Mechatronics, Electrical Power, and Vehicular Technology, 2014, doi: 10.14203/j.mev.2014.v5.123-128.
  35. J. C. Gerdes and J. K. Hedrick, “Brake system modeling for simulation and control,” Journal of Dynamic Systems, Measurement, and Control, vol. 121, no. 3, pp. 296–503, 2008, doi: 10.1115/1.2802501.
  36. Malaysia, “Road Transport Act,” Malaysia, no. July, pp. 1–158, 1987.
  37. K. Hudha, “Non-Parametric Modelling and Modified Hybrid Skyhook Groundhook Control of Magnetorheological Dampers for Automotive Suspension System,” Universiti Teknologi Malaysia, 2005.
  38. D. V Gowda and R. A. C, “Slip Ratio Control of Anti-Lock Braking System with Bang-Bang Controller,” International Journal of Computer Techniques, vol. 4, no. 1, pp. 97–104, 2017.
  39. A. Ghajari and R. Kazemi, “A New Approach to the Electronic Wedge Brake,” SAE Technical Papers, vol. 1, 2012, doi: 10.4271/2012-01-1801.
  40. A. Z. Zainordin, Z. Mohamed, and F. Ahmad, “Magnetorheological Fluid: Testing on Automotive Braking System,” International Journal of Automotive and Mechanical Engineering, vol. 18, no. 1, pp. 8577–8584, 2021, doi: 10.15282/ijame.18.1.2021.16.0651.
  41. S. Navarro Gimenez, J. M. Herrero Dura, F. X. Blasco Ferragud, and R. Simarro Fernandez, “Control-Oriented Modeling of the Cooling Process of a PEMFC-Based μ -CHP System,” IEEE Access, vol. 7, pp. 95620–95642, 2019, doi: 10.1109/ACCESS.2019.2928632.
  42. A. Kubicek, F. Jopp, B. Breckling, C. Lange, and H. Reuter, “Context-oriented model validation of individual-based models in ecology: A hierarchically structured approach to validate qualitative, compositional and quantitative characteristics,” Ecological Complexity, vol. 22, pp. 178–191, 2015, doi: 10.1016/j.ecocom.2015.03.005.
  43. E. J. Rykiel, “Testing ecological models: The meaning of validation,” Ecological Modelling, 1996, doi: 10.1016/0304-3800(95)00152-2.
  44. R. G. Sargent, “Verification and Validation of Simulation Models: An Advanced Tutorial,” 2020, doi: DOI: 10.1109/WSC48552.2020.9384052.