基于模糊控制的纯电动汽车制动能量回收策略研究
Research on Braking Energy Recovery Strat-egy of Pure Electric Vehicle Based on Fuzzy Control
摘要: 为了能够进一步提高纯电动汽车制动能量回收的利用率，本文综合考虑了制动动力学与再生制动结构知识，对汽车制动能量回收控制策略进行了优化。利用软件分别建立了模糊控制器、再生制动模块和电动汽车再生制动模型。并将传统的串、并联控制策略与基于模糊控制的制动控制策略进行对比仿真分析。结果表明：与传统的串、并联控制策略相比，模糊控制策略对于制动能量回收环节的优化效果更好，制动转化率分别提高了11.9%、21.2%，制动回收率分别提高了2.78%、4.96%，具有更好的制动能量回收能力，且能够提升整车能量利用水平。
Abstract: In order to further improve the utilization rate of braking energy recovery of pure electric vehicles, this paper comprehensively considers the knowledge of braking dynamics and regenerative brak-ing structure, and optimizes the control strategy of automobile braking energy recuperation. The fuzzy controller, regenerative braking module and electric vehicle regenerative braking model were established by software. The traditional series and parallel control strategy and the braking control strategy based on fuzzy control are compared and analyzed. The results show that compared with the traditional series and parallel control strategies, the fuzzy control strategy has a better op-timization effect on the braking energy recuperation link, with the braking conversion rate in-creased by 11.9% and 21.2%, and the braking recovery rate increased by 2.78% and 4.96%, re-spectively, which has better braking energy recuperation ability and can improve the energy utili-zation level of the whole vehicle.
文章引用：张凤, 时安宁, 任恒宇, 叶立, 张文韬. 基于模糊控制的纯电动汽车制动能量回收策略研究[J]. 建模与仿真, 2023, 12(1): 212-224. https://doi.org/10.12677/MOS.2023.121021

参考文献

[1] Sun, X., Li, Z., Wang, X., et al. (2020) Technology Development of Electric Vehicles: A Review. Energies, 13, 90. [Google Scholar] [CrossRef] 
[2] Tahir, Y., Khan, I., Rahman, S., et al. (2021) A State-of-the-Art Review on To-pologies and Control Techniques of Solid-State Transformers for Electric Vehicle Extreme Fast Charging. IET Power Electron-ics, 14, 1560-1576. [Google Scholar] [CrossRef] 
[3] Xiao, B., Ruan, J., Yang, W., et al. (2021) A Review of Pivotal Energy Manage-ment Strategies for Extended Range Electric Vehicles. Renewable and Sustainable Energy Reviews, 2021, Article ID: 111194. [Google Scholar] [CrossRef] 
[4] 申伟, 陆敏恂. 中国新能源汽车产业的发展现状与展望[J]. 汽车实用技术, 2020, 45(22): 239-242. [Google Scholar] [CrossRef] 
[5] 郭金刚, 董昊轩, 盛伟辉, 涂超. 电动汽车再生制动能量回收最优控制策略[J]. 江苏大学学报(自然科学版), 2018, 39(2): 132-138.
[6] 翟国柱, 赵国柱, 朱思洪. 电动汽车再生制动控制策略研究[J]. 计算机仿真, 2013, 30(11): 160-163, 280.
[7] 初亮, 何强, 富子丞, 等. 纯电动汽车再生制动控制策略研究[J]. 汽车工程学报, 2016, 31(4): 244-251.
[8] Powell, B.K., Bailey, K.E. and Cikanek, S.R. (1998) Dynamic Modeling and Control of Hybrid Electric Vehicle Powertrain Systems. IEEE Control Systems Magazine, 18, 17-33. [Google Scholar] [CrossRef] 
[9] Gao, Y. and Ehsani, M. (2010) Design and Control Methodology of Plug-In Hy-brid Electric Vehicles. IEEE Transactions on Industrial Electronics, 57, 633-640. [Google Scholar] [CrossRef] 
[10] 纪佳圳, 熊锐, 吴坚, 等. 混合动力汽车制动控制策略的研究[J]. 农业装备与车辆工程, 2021, 59(3): 39-43, 47.
[11] 李成毅. 电动汽车最佳能量回收并联再生制动策略研究[D]: [硕士学位论文]. 长沙: 湖南大学, 2017.
[12] 周苏, 许长立. 基于Amesim的纯电动汽车制动能量回收策略研究[J]. 今日制造与升级, 2021(Z1): 56-58.
[13] 王计广, 李孟良, 徐月云, 方茂东. 电动汽车制动能量回收系统评价方法研究[J]. 汽车技术, 2014(12): 35-39.
[14] 任玉龙. 纯电动汽车的再生制动控制策略研究[D]: [硕士学位论文]. 哈尔滨: 哈尔滨理工大学, 2019.[CrossRef] 
[15] 杨建翠. 纯电动汽车制动能量回收控制策略研究[D]: [硕士学位论文]. 福州: 福州大学, 2018.
[16] 张亮, 李益华. 基于模糊控制的纯电动汽车再生制动系统的仿真[J]. 自动化与仪器仪表, 2017(3): 131-133. [Google Scholar] [CrossRef] 
[17] 王静怡. 纯电动汽车再生制动控制策略研究[D]: [硕士学位论文]. 成都: 西华大学, 2021.[CrossRef] 
[18] 叶敏. 电动汽车再生制动及其控制技术[M]. 北京: 人民交通出版社, 2013: 218.
[19] Passino, K.M., Yurkovich, S. and Reinfrank, M. (1998) Fuzzy Control. Addison-Wesley, Read-ing.
[20] Postlethwaite, B. (1997) An Introduction to Fuzzy Control: Edited by D. Driankov, H. Hellendoorn and M. Reinfrank 2nd Revised Edition, 1996, 316 pp., 152 figs, Hardcover DM 88—ISBN: 3-540-60691-2. Journal of Process Control, 7, 153. [Google Scholar] [CrossRef] 
[21] 靳立强, 孙志祥, 王熠, 郑迎. 基于模糊控制的电动轮汽车再生制动能量回收研究[J]. 汽车工程, 2017, 39(10): 1101-1105+1197. [Google Scholar] [CrossRef] 
[22] In’kov, Yu.M., Feoktistov, V.P. and Tretinnikov, O.V. (2015) Control of Recuperative Braking of a Locomotive under Limitation of the Energy Recovery to a Contact System. Russian Elec-trical Engineering, 86, 509-513. [Google Scholar] [CrossRef] 

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