A Review of Regenerative Brake Control Strategies for Electric Vehicles Under Varying Road Conditions

Authors

  • Li QianQian Faculty of Mechanical and Automotive Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah, 26600 Pekan, Pahang, Malaysia , College of Vehicle Engineering, Huanghe Jiaotong University, Jiaozuo, Henan, 454000, China
  • P.M. Heerwan Faculty of Mechanical and Automotive Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah, 26600 Pekan, Pahang, Malaysia , Center for Automotive Engineering, Universiti Malaysia Pahang Al-Sultan Abdullah, 26600 Pekan, Pahang, Malaysia https://orcid.org/0000-0002-2208-364X
  • M. Ishak Faculty of Mechanical and Automotive Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah, 26600 Pekan, Pahang, Malaysia

DOI:

https://doi.org/10.15282/

Keywords:

Regenerative brake system (RBS), Electric vehicles (EV), Control strategies, Road surfaces, Vehicle safety

Abstract

Regenerative braking system (RBS) is a technology that converts a vehicle’s kinetic energy into electrical energy during braking, significantly improving energy efficiency, increasing driving range, and reducing emissions to contribute to environmental sustainability. However, RBS has certain limitations and disadvantages, including the complexity of its components, high implementation costs, space constraints, and compatibility with other vehicle components. Additionally, the effectiveness of RBS is influenced by external factors such as temperature variations, road conditions, and driver behaviour. The objective of this paper is to discuss regenerative brake control strategies on various road surfaces. In this review, the priority of journal and conference proceedings on the regenerative topic over the past 10 years has been examined. To optimise energy recovery, researchers have proposed various regenerative braking control strategies, including fuzzy logic, PID, FOPID, model predictive control, and sliding mode control. The significance of these control strategies for the future of electric vehicles cannot be overstated, underscoring the need for further research and development in this area. Furthermore, the study of regenerative brake control strategies in slippery road conditions needs improvement, as controlling wheel lock while simultaneously enhancing regenerative brake energy recovery is complex. The review found that the regenerative brake strategy performs best on dry asphalt. Integrating RBS with the control system can prevent skidding, thereby improving braking performance. These research findings underscore the importance of regenerative brake control strategies for electric vehicles.

References

[1] K, Kiddee, W, Keyoonwong, W, Khan‐Ngern, “An HSC / battery energy storage system-based regenerative braking system control mechanism for battery electric vehicles,” IEEJ Transactions on Electrical and Electronic Engineering, vol. 13, no. 6, pp. 835–841, 2018. https://doi.org/10.1002/tee.22827

[2] R. Panchendrarajan, G. Popova, T. Russell-Rose, “Crisis talk: Analysis of the public debate around the energy crisis and cost of living,” Social Network Analysis and Mining, vol. 14, no. 1, p. 74, 2024. https://doi.org/10.1007/s13278-024-01233-w

[3] Y. Xiao, X. Zuo, J. Huang, A. Konak, Y. Xu, “The continuous pollution routing problem,” Applied Mathematics and Computational, vol. 387, p. 125072, 2020. https://doi.org/10.1016/j.amc.2020.125072

[4] E. Marrekchi, W. Besbes, D. Dhouib, E. Demir, “A review of recent advances in the operations research literature on the green routing problem and its variants,” Annals of Operations Research, vol. 304, no. 1-2, pp. 35–64, 2021. https://doi.org/10.1007/s10479-021-04046-8

[5] M. Alilou, H. Azami, A. Oshnoei, B. Mohammadi-ivatloo, R. Teodorescu, “Fractional-order control techniques for renewable energy and energy-storage-integrated power systems: A review,” Fractal and Fractional, vol. 7, no. 5, p. 391, 2023. https://doi.org/10.3390/fractalfract7050391

[6] N.K. Yusof, P.E. Abas, T.M.I. Mahlia, M.A. Hannan, “Techno-economic analysis and environmental impact of electric buses,” World Electric Vehicle Journal, vol. 12, no. 1, p. 31, 2021. https://doi.org/10.3390/wevj12010031

[7] D.U. Thakar, R.A. Patel, “Comparison of advance and conventional motors for electric vehicle application,” in 2019 3rd International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE), 2019, pp. 137–142. https://doi.org/10.1109/RDCAPE47089.2019.8979092

[8] H. Budde-Meiwes, J. Drillkens, B. Lunz, J. Muesgen, D. U. Sauer, “A review of current automotive battery technology and future prospects,” Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering, vol. 227, no. 5, pp. 761–776, 2013. https://doi.org/10.1177/0954407013485567

[9] M.A. Baba, M. Labbadi, M. Cherkaoui, M. Maaroufi, “Fuel cell electric vehicles: A review of current power electronic converters topologies and technical challenges,” IOP Conference Series: Earth and Environmental Science, vol. 785, no. 1, p. 012011, 2021. https://doi.org/10.1088/1755-1315/785/1/012011

[10] A. Fuhs, Hybrid Vehicles: And the Future of Personal Transportation, Boca Raton, FL, USA: CRC Press, 2008. https://doi.org/10.1201/9781420075359

[11] J. Sun, “Research on modeling and control strategy of plug in HEV hybrid power supply,” in 2023 IEEE International Conference on Image Processing Computing Applications (ICIPCA), 2023, pp. 423–429. https://doi.org/10.1109/ICIPCA59209.2023.10257721

[12] A.F. Pennington, C.R. Cornwell, K.D. Sircar, M.C. Mirabelli, “Electric vehicles and health: A scoping review,” Environmental Research, vol. 251, p. 118697, 2024. https://doi.org/10.1016/j.envres.2024.118697

[13] A. Raghuwanshi, A. Ojha, “An overview of the regenerative braking technique and energy storage systems in electric, hybrid, and plug-in hybrid electric vehicles,” in 2023 IEEE International Conference on Electronic Information Engineering and Computer Science (SCEECS), 2023, pp. 1–6. https://doi.org/10.1109/SCEECS57921.2023.10063062

[14] M. İnci, M. Büyük, M. H. Demir, G. İlbey, “A review and research on fuel cell electric vehicles: Topologies, power electronic converters, energy management methods, technical challenges, marketing and future aspects,” Renewable and Sustainable Energy Reviews, vol. 137, p. 110648, 2021. https://doi.org/10.1016/j.rser.2020.110648

[15] D. Deming, “M. King Hubbert and the rise and fall of peak oil theory,” AAPG Bulletin, vol. 107, no. 6, pp. 851–861, 2023. https://doi.org/10.1306/03202322131

[16] Z. Ma, D. Sun, “Energy recovery strategy based on ideal braking force distribution for regenerative braking system of a four-wheel drive electric vehicle,” IEEE Access, vol. 8, pp. 136234–136242, 2020. https://doi.org/10.1109/ACCESS.2020.3011563

[17] H. Pan, L. Qi, Z. Zhang, J. Yan, “Kinetic energy harvesting technologies for applications in land transportation: A comprehensive review,” Applied Energy, vol. 286, p. 116518, 2021. https://doi.org/10.1016/j.apenergy.2021.116518

[18] B. Adhikari, N.A. Chowdhury, L.A. Diaz, H. Jin, A.K. Saha, M. Shi et al., “Electrochemical leaching of critical materials from lithium-ion batteries: A comparative life cycle assessment,” Resources, Conservation & Recycling, vol. 193, p. 106973, 2023. https://doi.org/10.1016/j.resconrec.2023.106973

[19] C. Yang, “Running battery electric vehicles with extended range: Coupling cost and energy analysis,” Applied Energy, vol. 306, p. 118116, 2022. https://doi.org/10.1016/j.apenergy.2021.118116

[20] International Energy Agency, Global EV Outlook 2022: Securing Supplies for an Electric Future. Paris, France: International Energy Agency, 2022. [Online]. Available: https://www.iea.org/reports/global-ev-outlook-2022

[21] F. Duffner, M. Wentker, M. Greenwood, J. Leker, “Battery cost modeling: A review and directions for future research,” Renewable and Sustainable Energy Reviews, vol. 127, p. 109872, 2020. https://doi.org/ 10.1016/j.rser.2020.109872

[22] D. Wu, J. Zhang, C. Du, “Optimal regenerative braking torque of permanent-magnet synchronous motor in electric vehicle,” International Journal of Heavy Vehicle Systems, vol. 27, no. 3, pp. 359-386, https://doi.org/10.1504/IJHVS.2020.108733

[23] Z. Wei, J. Xu, D. Halim, “Braking force control strategy for electric vehicles with load variation and wheel slip considerations,” IET Electrical Systems in Transportation, vol. 7, no. 1, pp. 41–47, 2017. https://doi.org/10.1049/iet-est.2016.0023

[24] C. Huang, F. Lei, X. Han, Z. Zhang, “Determination of modeling parameters for a brushless DC motor that satisfies the power performance of an electric vehicle,” Measurement and Control, vol. 52, no. 7-8, pp. 765–774, 2019. https://doi.org/10.1177/0020294019842607

[25] O.H.A.A. Alzuabidi, M.W. Hussein, “Fault detection of electric vehicle motor based on flux performance using FEM,” Periodicals of Engineering and Natural Sciences, vol. 9, no. 3, pp. 5–11, 2021. https://doi.org/10.21533/pen.v9i3.2077

[26] N. Akhmetov, A. Manakhov, A.S. Al-Qasim, “Li-ion battery cathode recycling: An emerging response to growing metal demand and accumulating battery waste,” Electronics, vol. 12, no. 5, p. 1152, 2023. https://doi.org/10.3390/electronics12051152

[27] M.Z. Khaneghah, M. Alzayed, H. Chaoui, “Fault detection and diagnosis of the electric motor drive and battery system of electric vehicles,” Machines, vol. 11, no. 7, p. 713, 2023. https://doi.org/10.3390/machines11070713

[28] M. El Marghichi et al., “Improving accuracy in state of health estimation for lithium batteries using gradient-based optimization: Case study in electric vehicle applications,” PLoS ONE, vol. 18, no. 12, 2023, p. e0293753, https://doi.org/10.1371/journal.pone.0293753

[29] A.S. Ho, D.Y. Parkinson, S.E. Trask, A.N. Jansen, N. P. Balsara, “Large local currents in a lithium-ion battery during rest after fast charging,” ACS Nano, vol. 17, no. 19, pp. 19180–19188, 2023. https://doi.org/10.1021/acsnano.3c05470

[30] I. Shchur and V. Turkovskyi, “H–H configuration of modular EV powertrain system based on the dual three-phase BLDC motor and battery-supercapacitor power supply system,” World Electric Vehicle Journal, vol. 14, no. 7, p. 173, 2023. https://doi.org/10.3390/wevj14070173

[31] P. Spichartz, C. Sourkounis, “Influence of the braking system and the type of regenerative braking request on the energy consumption of electric vehicles,” in 2020 International Conference on Ecological Vehicles and Renewable Energies (EVER), 2020, pp. 1-7. https://doi.org/10.1109/EVER48776.2020.9242939

[32] A.T. Hamada, M.F. Orhan, “An overview of regenerative braking systems,” Journal of Energy Storage, vol. 52, p. 105033, 2022. https://doi.org/10.1016/j.est.2022.105033

[33] S. J. Clegg, “A review of regenerative braking systems,” Working Paper 471, Institute of Transport Studies, University of Leeds, Leeds, United Kingdom, Apr. 1996. [Online]. Available: https://eprints.whiterose.ac.uk/2118/

[34] H. Ali, H.A. Khan, M. Pecht, “Preprocessing of spent lithium-ion batteries for recycling: Need, methods, and trends,” Renewable and Sustainable Energy Reviews, vol. 168, p. 112809, 2022. https://doi.org/10.1016/j.rser.2022.112809

[35] M. Assefi, S. Maroufi, Y. Yamauchi, V. Sahajwalla, “Pyrometallurgical recycling of Li-ion, Ni–Cd and Ni–MH batteries: A minireview,” Current Opinion in Green and Sustainable Chemistry, vol. 24, pp. 26–31, 2020. https://doi.org/10.1016/j.cogsc.2020.01.005

[36] X. Zhao, B. Kou, C. Huang, L. Zhang, “A reverse-salient permanent magnet synchronous motor for electric vehicles considering operating conditions,” IEEE Transactions on Energy Conversion, vol. 38, no. 1, pp. 262–272, 2023. https://doi.org/10.1109/TEC.2022.3213571

[37] M. T. Guneser, A. Dalcali, T. Ozturk, C. Ocak, M. Cernat, “An induction motor design for urban use electric vehicle,” in 2016 IEEE International Power Electronics and Motion Control Conference (PEMC), 2016, pp. 261–266. https://doi.org/10.1109/EPEPEMC.2016.7752008

[38] Y. Xu, M. Ai, Z. Xu, W. Liu, Y. Wang, “Research on interior permanent magnet synchronous motor based on performance matching of electric bus,” IEEE Transactions on Applied Superconductivity, vol. 31, no. 8, 2021, p. 5201504. https://doi.org/10.1109/TASC.2021.3091062

[39] X. Nian, F. Peng, H. Zhang, “Regenerative braking system of electric vehicle driven by brushless DC motor,” IEEE Transactions on Industrial Electronics, vol. 61, no. 10, pp. 5798–5808, 2014. https://doi.org/10.1109/TIE.2014.2300059

[40] W. Cao, A. A. S. Bukhari, L. Aarniovuori, “Review of electrical motor drives for electric vehicle applications,” Mehran University Research Journal of Engineering and Technology, vol. 38, no. 3, pp. 525–540, 2019. https://doi.org/10.22581/muet1982.1903.01

[41] J. Liu, Y. Liang, P. Yang, “Research on novel flat wire transposed winding of PMSM for electric vehicle,” IEEE Transaction on Transportation Electrification, vol. 9, no. 1, pp. 771–781, 2023. https://doi.org/10.1109/TTE.2022.3198950

[42] E. Pipitone, G. Vitale, “A regenerative braking system for internal combustion engine vehicles using supercapacitors as energy storage elements-Part 1: System analysis and modelling,” Journal of Power Sources, vol. 448, 2020, p. 227368. https://doi.org/10.1016/j.jpowsour.2019.227368

[43] A.T. Hamada, M.F. Orhan, “An overview of regenerative braking systems,” Journal of Energy Storage, vol. 52, p. 105033, 2022. https://doi.org/10.1016/j.est.2022.105033

[44] C.S.N. Kumar, S.C. Subramanian, “Cooperative control of regenerative braking and friction braking for a hybrid electric vehicle,” Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering, vol. 230, no. 1, pp. 103–116, Jan. 2016, https://doi.org/10.1177/0954407015581082

[45] A. Bıçak, A. Gelen, “Modified super-twisting algorithm-based model reference adaptive observer for sensorless control of the interior permanent-magnet synchronous motor in electric vehicles,” Machines, vol. 11, no. 9, p. 871, 2023. https://doi.org/10.3390/machines11090871

[46] N.N. Mawuntu, B.Q. Mu, O. Doukhi, D.J. Lee, “Modeling of the battery pack and battery management system towards an integrated electric vehicle application,” Energies, vol. 16, no. 20, p. 7165, 2023, https://doi.org/10.3390/en16207165

[47] Z. Peng, H. Si, H. Wang, C. Zhou, G. Chen, T. Deng et al., “High-accuracy torque estimation and safety control for induction motor used in electric vehicles,” Advances in Mechanical Engineering, vol. 15, no. 10, p. 16878132231199345, 2023. https://doi.org/10.1177/16878132231199345

[48] C. Yang, T. Sun, W. Wang, Y. Li, Y. Zhang, M. Zha, “Regenerative braking system development and perspectives for electric vehicles: An overview,” Renewable and Sustainable Energy Reviews, vol. 198, p. 114389, 2024. https://doi.org/10.1016/j.rser.2024.114389

[49] Y. Do Chun, B. G. Park, D. J. Kim, J. H. Choi, P. W. Han, S. Um, “Development and performance investigation on 60kW induction motor for EV propulsion,” Journal of Electrical Engineering & Technology, vol. 11, no. 3, pp. 639–643, 2016. https://doi.org/10.5370/JEET.2016.11.3.639

[50] J. Guo, “Development of regenerative braking for electric vehicles in China: A review,” International Journal of Electric and Hybrid Vehicles, vol. 7, no. 2, pp. 120–138, 2015. https://doi.org/10.1504/IJEHV.2015.071081

[51] R.R. Aronson, “The MARS II electric car,” SAE Technical Paper, no. 680429, 1968. https://doi.org/10.4271/680429

[52] A. Eldho Alias, F. T. Josh, “Selection of motor for an electric vehicle: A review,” Materials Today: Proceedings, vol. 24, pp. 1804–1815, 2020. https://doi.org/10.1016/j.matpr.2020.03.605

[53] G. Sieklucki, “Optimization of powertrain in EV,” Energies, vol. 14, no. 3, p. 725, 2021. https://doi.org/10.3390/en14030725

[54] S. Lupberger, W. Degel, D. Odenthal, N. Bajcinca, “Control allocation for hybrid braking considering dynamic battery behaviour,” IFAC-PapersOnLine, vol. 53, no. 2, pp. 14085–14090, 2020. https://doi.org/10.1016/j.ifacol.2020.12.945

[55] K. Detka, K. Górecki, “Selected technologies of electrochemical energy storage—A review,” Energies, vol. 16, no. 13, p. 5034, 2023. https://doi.org/10.3390/en16135034

[56] H. Zheng, Y. Xin, Y. He, T. Jiang, X. Liu, L. Jin, “A modeling and control algorithm for a commercial vehicle electronic brake system based on vertical load estimation,” Actuators, vol. 12, no. 10, p. 376, 2023. https://doi.org/10.3390/act12100376

[57] J. Miao, “Design of downhill regenerative braking control method for hybrid electric vehicle,” Journal of Vibroengineering, vol. 25, no. 4, pp. 745–756, 2023. https://doi.org/10.21595/jve.2022.22948

[58] Z. Kamiński, “Calculation of the optimal braking force distribution in three-axle trailers with tandem suspension,” Acta Mechanica Automotive, vol. 16, no. 3, pp. 189–199, 2022. https://doi.org/10.2478/ama-2022-0023

[59] L. Jing, M. Shen, “Analysis and optimization of a sinusoidally magnetized flux reversal PM machine with auxiliary teeth,” Journal of Electrical Engineering & Technology, vol. 18, no. 6, pp. 4181–4190, 2023. https://doi.org/10.1007/s42835-023-01636-3

[60] T. Han, B. Zeng, and Y. Tong, “Theoretical study on energy recovery rate of regenerative braking for hybrid mining trucks with different parameters,” Journal of Energy Storage, vol. 42, p. 103127, 2021. https://doi.org/10.1016/j.est.2021.103127

[61] J. Chen, Y. Liu, R. Liu, F. Xiao, J. Huang, “Integrated control of braking-yaw-roll stability under steering-braking conditions,” Scientific Reports., vol. 13, no. 1, p. 13456, 2023. https://doi.org/10.1038/s41598-023-48535-1

[62] Z. Lin, T. Mo, T. Wang, “Research and analysis on brake energy recovery of pure electric vehicles,” E3S Web of Conferences, vol. 424, p. 01007, 2023. https://doi.org/10.51/e3sconf/202342401007

[63] J. Liu et al., “Research on adaptive distribution control strategy of braking force for pure electric vehicles,” Processes, vol. 11, no. 4, p. 1152, 2023. https://doi.org/10.3390/pr11041152

[64] Y. Lian, Y. Zhao, L. Hu, Y. Tian, “Longitudinal collision avoidance control of electric vehicles based on a new safety distance model and constrained-regenerative-braking-strength-continuity braking force distribution strategy,” IEEE Transactions on Vehicular Technology, vol. 65, no. 6, pp. 4079–4094, 2016. https://doi.org/10.1109/TVT.2015.2498949

[65] F. Perktold, “Research on a regenerative braking system for a golf cart,” Master’s Thesis, Faculty Mechanical, Engineering, University Ljubljana, Ljubljana, Slovenia, 2016.

[66] L. Zhang, X. Cai, “Control strategy of regenerative braking system in electric vehicles,” Energy Procedia, vol. 152, pp. 496–501, 2018. https://doi.org/10.1016/j.egypro.2018.09.200

[67] C. Li, C. He, Y. Yuan, J. Zhang, “Co-simulation on performance evaluation of a new electronic control hydraulic braking system,” in 2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), 2018, pp. 2500–2504. https://doi.org/10.1109/IAEAC.2018.8577561

[68] J. Ko, S. Ko, H. Son, B. Yoo, J. Cheon, H. Kim, “Development of brake system and regenerative braking cooperative control algorithm for automatic-transmission-based hybrid electric vehicles,” IEEE Transactions on Vehicular Technology, vol. 64, no. 2, pp. 431–440, 2015, https://doi.org/10.1109/TVT.2014.2325056

[69] T. Yabe, K. Akatsu, N. Okui, T. Niikuni, T. Kawai, “Efficiency improvement of regenerative energy for an EV,” in 26th Electric Vehicle Symposium, vol. 1, pp. 634–640, 2012. https://doi.org/10.3390/wevj5020494

[70] M. Heydrich, V. Ricciardi, V. Ivanov, M. Mazzoni, A. Rossi, J. Buh et al., “Integrated braking control for electric vehicles with in-wheel propulsion and fully decoupled brake-by-wire system,” Vehicles, vol. 3, no. 2, pp. 145–161, 2021. https://doi.org/10.3390/vehicles3020009

[71] Q. Xu, F. Wang, X. Zhang, S. Cui, “Research on the efficiency optimization control of the regenerative braking system of hybrid electrical vehicle based on electrical variable transmission,” IEEE Access, vol. 7, pp. 116823–116834, 2019. https://doi.org/10.1109/ACCESS.2019.2936370

[72] A. González-Gil, R. Palacin, P. Batty, “Sustainable urban rail systems: Strategies and technologies for optimal management of regenerative braking energy,” Energy Conversion and Management, vol. 75, pp. 374–388, 2013. https://doi.org/10.1016/j.enconman.2013.06.039

[73] Y. Zhang, K. Li, S. Cui, Y. Sun, “Power distribution strategy for an electric bus with a hybrid energy storage system,” World Electric Vehicle Journal, vol. 12, no. 3, p. 116, 2021. https://doi.org/10.3390/wevj12030154

[74] S. Li, B. Yu, and X. Feng, “Research on braking energy recovery strategy of electric vehicle based on ECE regulation and I curve,” Science Progress, vol. 103, no. 1, pp. 1–17, 2020. https://doi.org/10.1177/0036850419877762

[75] J. Yang, T. Zhang, J. Hong, H. Zhang, Q. Zhao, Z. Meng, “Research on driving control strategy and fuzzy logic optimization of a novel mechatronics-electro-hydraulic power coupling electric vehicle,” Energy, vol. 233, p. 121221,2021. https://doi.org/10.1016/j.energy.2021.121221

[76] K.P.S. Praveena, N.S. Jayalakshmi, S. Adarsh, “Fuzzy logic-based hysteresis current control and regenerative braking of BLDC motor with battery equivalent cell modelling for electric vehicles,” International Journal of Renewable Energy Research, vol. 13, no. 3, pp. 1406–1417, 2023. https://doi.org/10.20508/ijrer.v13i3.14055.g8813

[77] T. Lei, Y. Wang, X. Jin, Z. Min, X. Zhang, X. Zhang, “An optimal fuzzy logic-based energy management strategy for a fuel cell/battery hybrid power unmanned aerial vehicle,” Aerospace, vol. 9, no. 2, p. 115, 2022. https://doi.org/10.3390/aerospace9020115

[78] X. Zhang, L. Liu, Y. Dai, T. Lu, “Experimental investigation on the online fuzzy energy management of hybrid fuel cell/battery power system for UAVs,” International Journal of Hydrogen Energy, vol. 43, no. 21, pp. 10094–10103, 2018. https://doi.org/10.1016/j.ijhydene.2018.04.075

[79] M.M. Islam, M.R. Hossain, F. Akter, “Enhancing regenerative braking efficiency in electric vehicles: An advanced fuzzy logic-based control strategy,” in 2023 IEEE 9th International Women in Engineering Conference on Electrical and Computer Engineering (WIECON-ECE), 2023, pp. 263–267. https://doi.org/10.1109/WIECON-ECE60392.2023.10456493

[80] Z. Yin, X. Ma, R. Su, Z. Huang, C. Zhang, “Regenerative braking of electric vehicles based on fuzzy control strategy,” Processes, vol. 11, no. 10, p. 2985, 2023. https://doi.org/10.3390/pr11102985

[81] L. Lv, J. Wang, J. Long, “Interval type-2 fuzzy logic anti-lock braking control for electric vehicles under complex road conditions,” Sustainability, vol. 13, no. 20, p. 11531, 2021. https://doi.org/10.3390/su132011531

[82] L. Li, X. Ping, J. Shi, X. Wang, X. Wu, “Energy recovery strategy for regenerative braking system of intelligent four-wheel independent drive electric vehicles,” IET Intelligent Transport Systems, vol. 15, no. 1, pp. 119–131, 2021. https://doi.org/10.1049/itr2.12009

[83] W. Li, H. Xu, X. Liu, Y. Wang, Y. Zhu, X. Lin et al., “Regenerative braking control strategy for pure electric vehicles based on fuzzy neural network,” Ain Shams Engineering Journal, vol. 15, no. 2, p. 102430, 2024. https://doi.org/10.1016/j.asej.2023.102430

[84] D. Usmani, R. Mohan, C.S. Mewada, G. Goga, “A comprehensive literature review on the recent advances in braking systems technology using FEA,” Journal of Physics: Conference Series, vol. 2484, no. 1, p. 012034, 2023. https://doi.org/10.1088/1742-6596/2484/012034

[85] P. Gopi, S.V. Reddy, M. Bajaj, I. Zaitsev, L. Prokop, “Performance and robustness analysis of V-Tiger PID controller for automatic voltage regulator,” Scientific Reports, vol. 14, no. 1, p. 5218, 2024. https://doi.org/10.1038/s41598-024-58481-1

[86] B. Zhang, P. Niu, X. Guo, J. He, “Fuzzy PID control of permanent magnet synchronous motor electric steering engine by improved beetle antennae search algorithm,” Scientific Reports, vol. 14, no. 1, p. 4215, 2024. https://doi.org/10.1038/s41598-024-52600-8

[87] T.T. Duong, D. Van Do, T.T. Nguyen, “Research on using PID algorithm to control simulation model of regenerative braking system based on driving cycles,” in 2017 International Conference on System Science and Engineering (ICSSE), 2017, pp. 375–380. https://doi.org/10.1109/ICSSE.2017.8030900

[88] A. Prabhakaran, T. Ponnusamy, Thenmozhi, G. Janarthanan, “Optimized fractional order PID controller with sensorless speed estimation for torque control in induction motor,” Expert Systems Applications, vol. 249, p. 123574, 2024. https://doi.org/10.1016/j.eswa.2024.123574

[89] A. Aboshosha, H.A. Hamed, “AI based optimization of EV control based on fractional order PID controller and meta-heuristic techniques,” SSRN Electronic Journal, 2022. https://doi.org/10.21203/rs.3.rs-1801587/v1

[90] A.A. Jamil, W.F. Tu, S.W. Ali, Y. Terriche, J.M. Guerrero, “Fractional-order PID controllers for temperature control: A review,” Energies, vol. 15, no. 10, p. 3800, 2022. https://doi.org/10.3390/en15103800

[91] S. Verma, S. Mishra, A. Gaur, S. Chowdhury, S. Mohapatra, G. Dwivedi et al., “A comprehensive review on energy storage in hybrid electric vehicle,” Journal of Traffic and Transportation Engineering (English Edition), vol. 8, no. 5, pp. 621–637, 2021. https://doi.org/10.1016/j.jtte.2021.09.001

[92] S. Modi, J. Bhattacharya, P. Basak, “Estimation of energy consumption of electric vehicles using deep convolutional neural network to reduce driver’s range anxiety,” ISA Transactions, vol. 98, pp. 454–470, 2020. https://doi.org/10.1016/j.isatra.2019.08.055

[93] H. Wei, L. Fan, Q. Ai, W. Zhao, T. Huang, Y. Zhang, “Optimal energy allocation strategy for electric vehicles based on the real-time model predictive control technology,” Sustainable Energy Technologies and Assessments, vol. 50, p. 101797, 2022. https://doi.org/10.1016/j.seta.2021.101797

[94] S. Lupberger, W. Degel, D. Odenthal, N. Bajcinca, “Nonlinear control design for regenerative and hybrid antilock braking in electric vehicles,” IEEE Transactions on Control Systems Technology, vol. 30, no. 4, pp. 1576–1589, 2022. https://doi.org/10.1109/TCST.2021.3109340

[95] A. Hosseini Salari, H. Mirzaeinejad, M. Fooladi Mahani, “A new control algorithm of regenerative braking management for energy efficiency and safety enhancement of electric vehicles,” Energy Conversion and Management, vol. 276, p. 116564, 2023. https://doi.org/10.1016/j.enconman.2022.116564

[96] Z. Li, A. Khajepour, J. Song, “A comprehensive review of the key technologies for pure electric vehicles,” Energy, vol. 182, pp. 824–839, 2019. https://doi.org/10.1016/j.energy.2019.06.077

[97] J. Lian, C. Dai, F. Zhou, W. Chen, “A hierarchical control strategy based on dual-vector model predictive current control for railway energy router,” Electronics, vol. 12, no. 18, p. 3919, 2023. https://doi.org/10.3390/electronics12183919

[98] X. Hua, J. Zeng, H. Li, J. Huang, M. Luo, X. Feng et al., “A review of automobile brake-by-wire control technology,” Processes, vol. 11, no. 4, p. 994, 2023. https://doi.org/10.3390/pr11040994

[99] C. Ding, Y. Guo, H. You, H. Zhang, “Optimization of algorithm for solving railroad power conditioner compensation power reference value and system power quality analysis based on optimal compensation model,” Energies, vol. 16, no. 20, p. 7073, 2023. https://doi.org/10.3390/en16207073

[100] K. Kakouche, T. Rekioua, S. Mezani, A. Oubelaid, D. Rekioua et al., “Model predictive direct torque control and fuzzy logic energy management for multi power source electric vehicles,” Sensors, vol. 22, no. 15, p. 5669, 2022. https://doi.org/10.3390/s22155669

[101] D. Tavernini, M. Metzler, P. Gruber, A. Sorniotti, “Explicit nonlinear model predictive control for electric vehicle traction control,” IEEE Transactions on Control Systems Technology, vol. 27, no. 4, pp. 1438–1451, 2019. https://doi.org/10.1109/TCST.2018.2837097

[102] M. Kissai, B. Monsuez, X. Mouton, D. Martinez, A. Tapus, “Model predictive control allocation of systems with different dynamics,” in 2019 IEEE International Conference on Intelligent Transportation Systems (ITSC), 2019, pp. 4170–4177. https://doi.org/10.1109/ITSC.2019.8917438

[103] Z. Chen, X. Zhou, Z. Wang, Y. Li, B. Hu, “A novel emergency braking control strategy for dual-motor electric drive tracked vehicles based on regenerative braking,” Applied Sciences, vol. 9, no. 12, p. 2480, 2019. https://doi.org/10.3390/app9122480

[104] V. Vodovozov, Z. Raud, E. Petlenkov, “Review on braking energy management in electric vehicles,” Energies, vol. 14, no. 15, p. 4477, 2021. https://doi.org/10.3390/en14154477

[105] D. Yu, W. Wang, H. Zhang, D. Xu, “Research on anti-lock braking control strategy of distributed-driven electric vehicle,” IEEE Access, vol. 8, pp. 162467–162478, 2020. https://doi.org/10.1109/ACCESS.2020.3021193

[106] J. Guo, W. Li, J. Wang, Y. Luo, K. Li, “Safe and energy-efficient car-following control strategy for intelligent electric vehicles considering regenerative braking,” IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 7, pp. 7070–7081, 2022. https://doi.org/10.1109/TITS.2021.3066611

[107] W. Xu, H. Chen, H. Zhao, B. Ren, “Torque optimization control for electric vehicles with four in-wheel motors equipped with regenerative braking system,” Mechatronics, vol. 57, p. 102095, 2019. https://doi.org/10.1016/j.mechatronics.2018.11.006

[108] J. Zhang, Y. Yang, D. Qin, C. Fu, Z. Cong, “Regenerative braking control method based on predictive optimization for four-wheel drive pure electric vehicle,” IEEE Access, vol. 9, pp. 1394–1406, 2020. https://doi.org/10.1109/ACCESS.2020.3046853

[109] C. Qiu, G. Wang, M. Meng, Y. Shen, “A novel control strategy of regenerative braking system for electric vehicles under safety critical driving situations,” Energy, vol. 149, pp. 329–340, 2018. https://doi.org/10.1016/j.energy.2018.02.046

[110] K. Lin, W. Wang, Z. Wang, X. Li, H. Zhang, “A dynamic load simulation algorithm based on an inertia simulation predictive model,” Applied Sciences, vol. 12, no. 14, p. 7142, 2022. https://doi.org/10.3390/app12147142

[111] Y. Gao, D. Li, R. Qu, X. Fan, J. Li, H. Ding, “A novel hybrid excitation flux reversal machine for electric vehicle propulsion,” IEEE Transactions on Vehicular Technology, vol. 67, no. 1, pp. 171–182, 2018. https://doi.org/10.1109/TVT.2017.2750206

[112] P. Kumar, D.V. Bhaskar, U.R. Muduli, A.R. Beig, R.K. Behera, “Iron-loss modeling with sensorless predictive control of PMBLDC motor drive for electric vehicle application,” IEEE Transaction on Transportation Electrification, vol. 7, no. 3, pp. 1506–1515, 2021. https://doi.org/10.1109/TTE.2020.3036991

[113] A. Aksjonov, V. Ricciardi, V. Vodovozov, and K. Augsburg, “Trajectory phase-plane method-based analysis of stability and performance of a fuzzy logic controller for an anti-lock braking system,” in 2019 IEEE International Conference on Mechatronics (ICMECH), vol. 1, pp. 602–607, 2019. https://doi.org/10.1109/ICMECH.2019.8722831

[114] H. Ren, T. Lin, S. Zhou, W. Huang, C. Miao, “Novel automatic idle speed control system with hydraulic accumulator and control strategy for construction machinery,” Applied Sciences, vol. 8, no. 4, p. 496, 2018. https://doi.org/10.3390/app8040496

[115] Q. Chen, S. Cai, X. Li, T. Lin, “Power train system control of electric loader based on positive flow system,” Applied Sciences, vol. 12, no. 11, p. 6032, 2022. https://doi.org/10.3390/app12116032

[116] S. Cai, Q. Chen, T. Lin, M. Xu, H. Ren, “Automatic shift control of an electric motor direct drive for an electric loader,” Machines, vol. 10, no. 6, p. 403, 2022. https://doi.org/10.3390/machines10060403

[117] Z. Quan, L. Ge, Z. Wei, Y. W. Li, L. Quan, “A survey of powertrain technologies for energy-efficient heavy-duty machinery,” Proceedings of the IEEE, vol. 109, no. 2, pp. 279–308, 2021. https://doi.org/10.1109/JPROC.2020.3032415

[118] B. Ma, M. Lin, Y. Chen, L. Wang, “Investigation of energy efficiency for electro-hydraulic composite braking system which is based on the regenerated energy,” Advances in Mechanical Engineering, vol. 8, no. 11, p. 1687814016679831, 2016. https://doi.org/10.1177/1687814016679831

[119] D. Sun, J. Zhang, C. He, J. Han, “Dual-mode regenerative braking control strategy of electric vehicle based on active disturbance rejection control,” Proceedings of the Institution of Mechanical Engineers, Part D Journal of Automobile Engineering, vol. 235, no. 11, pp. 1483–1496, Sep. 2021, https://doi.org/10.1177/09544070211006997

[120] A. Yildiz, M.A.A. Özel, “A comparative study of energy consumption and recovery of autonomous fuel-cell hydrogen–electric vehicles using different powertrains based on regenerative braking and electronic stability control system,” Applied Sciences, vol. 11, no. 6, p. 2515, 2021. https://doi.org/10.3390/app11062515

[121] N. Jonathan, M. Philippe, B. Maxime, “Collaborative control of a dual electro-hydraulic regenerative brake system for a rear-wheel-drive electric vehicle,” Proceedings of the Institution of Mechanical Engineers, Part D Journal of Automobile Engineering, vol. 233, no. 7, pp. 1035–1046, 2019. https://doi.org/10.1177/0954407018825364

[122] S. Philipp, S. Constantinos, “Brake force distributions optimised with regard to energy recovery for electric vehicles with single front-wheel drive or rear-wheel drive,” IET Electrical Systems in Transportation, vol. 9, no. 4, pp. 186–195, 2019. https://doi.org/10.1049/iet-est.2019.0027

[123] G. Wu, C. Wang, W. Zhao, Q. Meng, “Integrated energy management of hybrid power supply based on short-term speed prediction,” Energy, vol. 262, p. 125620, 2023. https://doi.org/10.1016/j.energy.2022.125620

[124] W. Wang, Y. Li, M. Shi, Y. Song, “Optimization and control of battery-flywheel compound energy storage system during an electric vehicle braking,” Energy, vol. 226, p. 120404, 2021. https://doi.org/10.1016/j.energy.2021.120404

[125] A. Oubelaid, H. Alharbi, A.S.B. Humayd, N. Taib, T. Rekioua, S.S.M. Ghoneim, “Fuzzy-energy-management-based intelligent direct torque control for a battery—supercapacitor electric vehicle,” Sustainability, vol. 14, no. 14, p. 8407, 2022. https://doi.org/10.3390/su14148407

[126] P. Spichartz, C. Sourkounis, “Brake force distributions optimised with regard to energy recovery for electric vehicles with single front-wheel drive or rear-wheel drive,” IET Electrical Systems in Transportation, vol. 9, no. 4, pp. 186–195, 2019. https://doi.org/10.1049/iet-est.2019.0027

[127] X.H. Lu, K.R. Zou, “Regenerative braking strategy of pure electric vehicle based on fuzzy control,” Journal of Engineering Science and Technology, vol. 19, no. 23, pp. 271–275, 2019.

[128] Y. L. Shi, X. Lu, T. Zhang, R. Zheng, “Research on control strategy of vehicle under braking state based on fuzzy control,” Journal of Physics: Conference Series, vol. 1894, no. 1, p. 012002, 2021. https://doi.org/10.1088/1742-6596/1894/1/012002

[129] X. Pei, H. Pan, Z. Chen, Y. Wang, “Coordinated control strategy of electrohydraulic braking for energy regeneration,” Control Engineering Practice, vol. 96, p. 104324, 2020. https://doi.org/10.1016/j.conengprac.2020.104324

[130] P. Mei, H. R. Karimi, S. Yang, B. Xu, C. Huang, “An adaptive fuzzy sliding-mode control for regenerative braking system of electric vehicles,” International Journal of Adaptive Control and Signal Processing, vol. 36, no. 2, pp. 391–410, 2022. https://doi.org/10.1002/acs.3356

[131] A. Aksjonov, V. Vodovozov, K. Augsburg, E. Petlenkov, “Design of regenerative anti-lock braking system controller for 4 in-wheel-motor drive electric vehicle with road surface estimation,” International Journal of Automotive Technology, vol. 19, no. 4, pp. 727–742, 2018. https://doi.org/10.1007/s12239-018-0070-8

[132] V. Ricciardi, M. Acosta, K. Augsburg, S. Kanarachos, V. Ivanov, “Robust brake linings friction coefficient estimation for enhancement of EHB control,” in 26th International Conference on Information, Communication and Automation Technologies (ICAT), 2017, pp. 1–7. https://doi.org/10.1109/ICAT.2017.8171600

[133] W. Cho, I.G. Jang, S.H. You, “Study on braking force distribution method for 4-wheel-independent-drive electric vehicle,” Transactions of the Korean Society of Automotive Engineers, vol. 29, no. 6, pp.523-532, 2021. https://doi.org/10.7467/KSAE.2021.29.6.523

[134] Y. Zhao, J. Zhang, C. Li, and C. He, “Sliding mode control algorithm for regenerative braking of an electric bus with a pneumatic anti-lock braking system,” IOP Conference Series: Materials Science and Engineering, vol. 538, no. 1, Jul. 2019, P. 012067, https://doi.org/10.1088/1757-899X/538/1/012067

Published

2026-06-26

Issue

Section

Review

How to Cite

[1]
L. QianQian, P. Heerwan, and M. Ishak, “A Review of Regenerative Brake Control Strategies for Electric Vehicles Under Varying Road Conditions”, Int. J. Automot. Mech. Eng., vol. 23, no. 2, Jun. 2026, doi: 10.15282/.

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