OPTIMIZATION OF REGENERATIVE BRAKING EFFICIENCY IN ELECTRIC VEHICLES: ADVANCED CONTROL STRATEGIES AND NOVEL DYNAMIC MODELING
Abstract
This paper presents an advanced analytical study on optimizing regenerative braking efficiency in modern electric vehicles (EVs).
A novel torque–based dynamic model, an adaptive energy recovery strategy, and a multi-layer control algorithm are proposed. The study incorporates new mathematical formulations, comparative tables, and conceptual system diagrams. Simulation results demonstrate that the proposed method increases overall regenerative efficiency by 18–31% under diverse road and driving conditions.
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References
1. Ehsani, M., Gao, Y., Longo, S., & Ebrahimi, K. (2018). Modern electric, hybrid electric, and fuel cell vehicles: Fundamentals, theory, and design (3rd ed.). CRC Press.
2. Chan, C. C. (2007). The state of the art of electric, hybrid, and fuel cell vehicles. Proceedings of the IEEE, 95(4), 704–718.
3. Miller, J. M. (2010). Propulsion systems for hybrid vehicles (2nd ed.). The Institution of Engineering and Technology.
4. Kim, M., Park, S., & Kim, H. (2019). Optimal regenerative braking control for electric vehicles using slip ratio estimation. International Journal of Automotive Technology, 20(6), 1179–1187.
5. Zhang, X., Wang, Z., & Li, G. (2019). Adaptive braking energy recovery control for electric vehicles. Energy Conversion and Management, 198, 111–127.
6. Lukic, S., & Emadi, A. (2004). Effects of drivetrain architecture on regenerative braking power. IEEE Vehicle Power and Propulsion Conference, 55–63.
7. Hannan, M. A., Lipu, M. S. H., Hussain, A., & Mohamed, A. (2018). Energy management strategies for electric vehicles—A review. Renewable and Sustainable Energy Reviews, 82, 3366–3378.
8. Manzetti, S., & Mariasiu, F. (2015). Electric vehicle battery technologies: From present state to future systems. Renewable and Sustainable Energy Reviews, 51, 1004–1012.
