https://orcid.org/0000-0002-5601-858X
References
- B, Zhu, C. Chen, Y. S. Xu, Qin D., et al. 2020. Coordinated control of pure electric vehicle regenerative braking and ESC hydraulic braking[J]. Journal of Hefei University of Technology(Natural Science) 43 (11):1441–49.
- Guo, Z. S., S. L. Wu, and A. M. Wen, Shen L, et al. 2020. Electrical vehicle electro-mechanical hybrid braking torques distribution strategy based on model predicting control[J]. Machinery Design & Manufacture. (7):156–60.
- Han, F. 2020. Design of Fuzzy Control in Electric Vehicle Brake System[J]. Microcomputer Applications 36 (9):126–28.
- He, X., H. Liu, S. He, Hu B, Xiao G, et al. 2019. Research on the energy efficiency of energy regeneration systems for a batterypowered hydrostatic vehicle[J]. Energy 178:400–18. doi:https://doi.org/10.1016/j.energy.2019.04.092.
- Liu, H. W., Y. L. Lei, Fu Y, Li X, et al. 2021. Adaptive regenerative braking control strategy of range-extended electric vehicle based on multi-objective optimization[J]. Journal of South China University of Technology (Natural Science Edition) 49 (7):42–50+65.
- Liu, H., Y. Lei, Y. Fu, Li X, et al. 2020. Multi-objective optimization study of regenerative braking control strategy for range-extended electric vehicle [J]. Applied Sciences. 10(5):1789–96. doi:https://doi.org/10.3390/app10051789.
- Liu, Z. Q., H. L. Wang, and R. H. Du. 2016. Fuzzy control method of regenerative braking in electric vehicles considering parameter sensitivity[J]. Journal of Central South University(Science and Technology) 47 (11):3700–06.
- Niu, J. G., D. D. Niu, C. H. Xu, Zhang X, et al. 2018. A research on optimal curve fuzzy control strategy for extended-range electric vehicles [J]. Automotive Engineering 40 (7):757–63.
- P, Zhus, X. D. Jiang, Y. R. Wang, Li J, et al. 2020. Research on parallel braking control of distributed four-wheel-drive electric vehicle[J]. Automotive Engineering 42 (11):1506–1512+1544.
- Pang, H., X. Zhang, Z. Xu, et al. 2019. Adaptive backstepping-based tracking control design for nonlinear active suspension system with parameter uncertainties and safety constraints[J]. Isa Transactions. 23–36. doi:https://doi.org/10.1016/j.isatra.2018.11.047.
- Shi, Y. Y. 2020. Control Strategy of Electro-Hydraulic-Compound Regenerative Braking for Electric Vehicle[D]. Jiangsu: Jiangsu University.
- Wang, J., C. F. Pan, L. Chen, et al. 2021. The strategy of braking force distribution for electromechanical composite braking system based on fuzzy rule[J]. Journal of Chongqing University of Technology(Natural Science) 35 (9):66–72+82.
- Wang, Z., Zhu J, L. Zhang, Wang Y, et al. 2018. Automotive ABS/DYC coordinated control under complex driving conditions[J]. IEEE Access. 2018(6):32769–79. doi:https://doi.org/10.1109/ACCESS.2018.2834565.
- Xu, W., H. Chen, H. Zhao, Ren B, et al. 2019. Torque optimization control for electric vehicles with four in-wheel motors equipped with regenerative braking system[J]. Mechatronics. 2019(57):95–108. doi:https://doi.org/10.1016/j.mechatronics.2018.11.006.
- Yang, L., and Tan D. 2021. Study on hybrid brake control of distributed drive electric vehicle[J]. Mechanical Science and Technology for Aerospace Engineering 40 (4):619–26.