Research of Regenerative Braking Strategy for Electric Vehicles

In the context of global energy instability caused by the transformation of global demand for energy and energy resources, one of the most important areas in the automotive industry is the development of electric vehicles. Serial production of high-tech electric vehicles with a long range contributes to the stabilization of the energy market and the sustainable development of the whole fuel-energy sector. To evaluate the possibility of optimizing the electric vehicles energy consumption, various regenerative braking strategies are discussed in the article based on the Nissan Leaf electric vehicle, which simulation model includes submodules of the traction electric motor, hybrid braking system, traction rechargeable battery and tires. In order to test the adequacy of the simulation model to reproduce the relationship between the operating parameters of electric vehicles various systems and evaluate their ability to regenerate energy during braking the simulation results were compared with the actual experimental data published by the Lab Avt research laboratory (USA). The relative error of the mathematical modeling results of the braking energy regeneration processes is 4.5 %, which indicates the adequacy of the electric vehicle simulation model and the possibility of its using as a base for research and comparison of the energy efficiency of various regenerative braking strategies. As the results of experiments have shown, the usage of the proposed control strategy of the regenerative braking maximum force allows increasing 2.14 times the energy recharging traffic to the battery as compared with the basic control strategy of fixed coefficient braking forces distribution with an increase in braking distance by 10 m. An alternative control strategy of regenerative braking optimal efficiency as compared to the basic control strategy provides a reduction in braking distance by 13.2 % at increasing by 84.4 % the amount of energy generated by the electric motor for recharging the batteries. The carried out investigations confirm the available significant potential for improving the efficiency of the electric vehicles usage by developing the control strategy and algorithms of the braking energy regeneration.

1. Bhurse S. S., Bhole A. A. (2018) A Review of Regenerative Braking in Electric Vehicles. 2018 International Conference on Computation of Power, Energy, Information and Communication (ICCPEIC), 363–367. https://doi.org/10.1109/ICCPEIC.2018.8525157.

2. Nian X. H., Peng F., Zhang H. (2014) Regenerative Braking System of Electric Vehicles Driven by Brushless DC Motors. IEEE Transactions on Industrial Electronics, 61 (10), 5798–5808. https://doi.org/10.1109/TIE.2014.2300059.

3. Bobba P. B., Rajagopal K. R. (2012) Modeling and Analysis of Hybrid Energy Storage Systems Used in Electric Vehicles. 2012 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES), 1–6. https://doi.org/10.1109/PEDES.2012.6484365.

4. Onda K., Ohshima T., Nakayama M., Fukuda K., Araki T. (2006) Thermal Behavior of Small Lithium-Ion Battery during Rapid Charge and Discharge Cycles. Journal of Power Sources, 158 (1), 535–542. https://doi.org/10.1016/j.jpowsour.2005.08.049.

5. Schaltz E., Khaligh A., Rasmussen P. O. (2008) Investigation of Battery/Ultracapacitor Energy Storage Rating for a Fuel Cell Hybrid Electric Vehicle. 2008 IEEE Vehicle Power and Propulsion Conference, 1–6. https://doi.org/10.1109/VPPC.2008.4677596.

6. Wu Y., Jiang X. H., Xie J. Y. (2009) The Reasons of Rapid Decline in Cycle Life of Li-Ion Battery. Battery Bimonthly, 39 (4), 206–207.

7. Zhang J., Lu X., Xue J., Li B. (2008) The Regenerative Braking System for Series Hybrid Electric City Bus. World Electric Vehicle Journal, 2 (4), 363–369. https://doi.org/10.3390/wevj2040363.

8. Guo J., Wang J., Cao B. (2009) Regenerative Braking Strategy for Electric Vehicles. 2009 IEEE Intelligent Vehicles Symposium Conference. Xi’an, China, 864–868. https://doi.org/10.1109/IVS.2009.5164393.

9. Xiao B., Lu H., Wang H., Ruan J., Zhang N. (2017) Enhanced Regenerative Braking Strategies for Electric Vehicles: Dynamic Performance and Potential Analysis. Energies, 10 (11), 1875–1894. https://doi.org/10.3390/en10111875.

10. Genikomsakis K. N., Mitrentsis G. (2017) A Computationally Efficient Simulation Model for Estimating Energy Consumption of Electric Vehicles in the Context of Route Planning Applications. Transportation Research Part D: Transport and Environment, 50, 98–118. https://doi.org/10.1016/j.trd.2016.10.014.

11. Chen Lv, Junzhi Zhang, Yutong Li, Ye Yuan (2015) Novel Control Algorithm of Braking Energy Regeneration System for an Electric Vehicle during Safety-Critical Driving Maneuvers. Energy Conversion and Management, 106, 520–529. https://doi.org/10.1016/j.encon man.2015.09.062.

12. Ming Lv, Zeyu Chen, Ying Yang, Jiangman Bi (2017) Regenerative Braking Control Strategy for a Hybrid Electric Vehicle with Rear Axle Electric Drive. 2017 Chinese Automation Congress (CAC). Jinan, China, 521–525. https://doi.org/10.1109/CAC.2017.8242823.

13. Setiawan J. D., Budiman B. A., Haryanto I., Munadi M., Ariyanto M., Hidayat M. A. (2019) The Effect of Vehicle Inertia on Regenerative Braking Systems of Pure Electric Vehicles. 2019 6th International Conference on Electric Vehicular Technology (ICEVT), 179–188. https://doi.org/10.1109/ICEVT48285.2019.8993977.

14. Peng D., Zhang Y., Yin C. L., Zhang J. W. (2008) Combined Control of a Regenerative Braking and Antilock Braking System for Hybrid Electric Vehicles. International Journal of Automotive Technology, 9 (6), 749–757. https://doi.org/10.1007/s12239-008-0089-3.

15. Güney B., Kiliç H. (2020) Research on Regenerative Braking Systems: A Review. International Journal of Science and Research (IJSR), 9 (9), 160–166.

16. Le T. N., Dinh B. T., Pham V. S., Le V. T., Nguyen T. D., Nguyen T. L., Nguyen T. D. (2021) Research on Building an Electric Car Model. Student Forum – Sustainable Energy, 514–520.

17. Luu V. T. (2019) Vehicle Theory. Ha Noi, Vietnam Education Publisher. 195.

18. Ngo P., Gulkov G. I. (2017) Calculation of a Mechanical Characteristic of Electric Traction Motor of Electric Vehicle. Enеrgеtika. Izvestiya Vysshikh Uchebnykh Zavedenii i Energeticheskikh Ob’edinenii SNG = Energetika. Proceedings of CIS Higher Education Institutions and Power Engineering Associations, 60 (1), 41–53. https://doi.org/10.21122/1029-7448-2017-60-1-41-53 (in Russian).

19. Ngo P. (2017) Calculation of Inductance of the Interior Permanent Magnet Synchronous Motor. Enеrgеtika. Izvestiya Vysshikh Uchebnykh Zavedenii i Energeticheskikh Ob’edinenii SNG = Energetika. Proceedings of CIS Higher Education Institutions and Power Engineering Associa-tions, 60 (2), 133–146. https://doi.org/10.21122/1029-7448-2017-60-2-133-146 (in Russian).

20. 2013 Nissan Leaf Advanced Vehicle Testing – Baseline Testing Results. Available at: https://www.energy.gov/sites/prod/files/2015/01/f19/fact2013nissanleaf.pdf.

21. Chu L., Shang M., Fang Y., Guo J., Zhou F. (2010) Braking Force Distribution Strategy for HEV Based on Braking Strength. 2010 International Conference on Measuring Technology and Mechatronics Automation, 759–764. https://doi.org/10.1109/ICMTMA.2010.344.