Date of Publication :13th March 2017
Abstract: A detailed study of a reliable and effective regenerative braking system is presented in this paper. The hour of need is to conserve energy. In the case of electric vehicles, energy conservation can be accomplished with the use of regenerative braking systems (RBS). A large amount of kinetic energy is lost while driving a car, brakes are applied, making the start-up very power-consuming. In this paper, a way to use kinetic energy by regenerative braking has been explored and suggested, which is typically lost by either converting it into mechanical energy or electrical energy. Regenerative braking transforms much of the energy that can be retained for future use into electrical energy. Many cases of braking include driving a car, leading to higher losses of energy, with higher potential savings. In addition, it is possible to integrate an anti-lock braking system (ABS) and a traction control system (TCS), as a motor can produce torques of acceleration or deceleration. The position of the distributed motor will improve the performance of Vehicle Stability Control (VSC) such as Direct Yaw Control (DYC). The torque of the motor can be easily measured. The objective of this project is to investigate this new type of braking system that can absorb much of the electric vehicle's kinetic energy and convert it into electrical energy. Regenerative braking converts a fraction of total kinetic energy into mechanical or electrical energy, but with further study and research in the near future it can play a vital role in saving non-renewable energy sources.
Reference :
-
- J. Ruan, P. Walker, N. Zhang, and G. Xu, “The Safety and Dynamic Performance of Blended Brake System on a Two-Speed DCT Based Battery Electric Vehicle,” SAE Int. J. Passeng. Cars - Mech. Syst., 2016.
- C. S. Boopathi, S. Saha, A. Singh, and S. Sinha, “Regenerative braking in electric vehicles,” Int. J. Recent Technol. Eng., 2019.
- M. M. Namazi, S. M. Saghaiannejad, A. Rashidi, and J. W. Ahn, “Maximum power recovery of regenerative braking in electric vehicles based on switched reluctance drive,” J. Electr. Eng. Technol., 2018.
- X. Nian, F. Peng, and H. Zhang, “Regenerative braking system of electric vehicle driven by brushless DC motor,” IEEE Trans. Ind. Electron., 2014.
- M. Silva, A. P. Gonçalves, J. Marques, J. Sousa, and U. Nunes, “Modelling an electric vehicle powertrain on bench,” in 2014 IEEE Vehicle Power and Propulsion Conference, VPPC 2014, 2014.
- G. Xu, W. Li, K. Xu, and Z. Song, “An intelligent regenerative braking strategy for electric vehicles,” Energies, 2011.
- J. Ko et al., “Development of regenerative braking co-operative control system for automatic transmission-based hybrid electric vehicle using electronic wedge brake,” in 2013 World Electric Vehicle Symposium and Exhibition, EVS 2014, 2014.
- G. Wager, J. Whale, and T. Braunl, “Performance evaluation of regenerative braking systems,” Proc. Inst. Mech. Eng. Part D J. Automob. Eng., 2018.
- C. Fiori, K. Ahn, and H. A. Rakha, “Powerbased electric vehicle energy consumption model: Model development and validation,” Appl. Energy, 2016.
- X. Li, L. Xu, J. Hua, J. Li, and M. Ouyang, “Regenerative braking control strategy for fuel cell hybrid vehicles using fuzzy logic,” in Proceedings of the 11th International Conference on Electrical Machines and Systems, ICEMS 2008, 2008
- J. Zhang, X. Lu, J. Xue, and B. Li, “Regenerative braking system for series hybrid electric city bus,” in Electric Drive Transportation Association - 23rd Int. Electric Vehicle Symposium and Exposition 2007, EVS 2007 (Battery, Hybrid, Fuel Cell) Conf. Proc. - Sustainability: The Future of Transportation, 2007.
- Dildar Husain, Mohammad Omar, Khaleel Ahmad, Vishal Jain and Ritika Wason, “Load Status Evaluation for Load Balancing in Distributed Database Servers”, 3C Technology, Glosses of innovation applied to the SME, ISSN: 2254-4143, Vol. 29, Issue 2, page no. 422-447.
- Dipti Mishra, Mohamed Hashim Minver, Bhagwan Das, Nisha Pandey and Vishal Jain, “An Efficient Face Detection and Recognition for Video Surveillance”, Indian Journal of Science and Technology, Volume 9, Issue 48, December 2016, page no. 1-10 having ISSN No. 0974-6846.
- RS Venkatesh, PK Reejeesh, S Balamurugan, S Charanyaa, “Further More Investigations on Evolution of Approaches for Cloud Security”, International Journal of Innovative Research in Computer and Communication Engineering , Vol. 3, Issue 1, January 2015
- K Deepika, N Naveen Prasad, S Balamurugan, S Charanyaa, “Survey on Security on Cloud Computing by Trusted Computer Strategy”, International Journal of Innovative Research in Computer and Communication Engineering, 2015