Design of Shifting Rules of Automatic Transmission Based on Genetic Algorithm Optimization and Fuzzy Control DynamicOptimization

GAO Ziyin;DU Minggang;LI Shenlong;LI Jin

CN Submission Journal Articles Figures Search
Adv. Search

  • Sponsored by: China Association for Science and Technology (CAST)

    Editor-In-Chief: Xu Yida

    ISSN 1000-1093

    　

  • Hosted By: China Ordnance Society

    Published By: Acta Armamentarii

    CN 11-2176/TJ

Acta Armamentarii, a Chinese monthly journal, was first published in 1979. The journal is supervised by China Association for Science and Technology, sponsored by China Ordnance Society，and edited and published by Editorial Board of Acta Armamentarii. The Journal is included in all important domestic databases，and also collected by Engineering Index (EI, USA), Chemical Abstracts (CA, USA), Science Abstracts (SA, UK）, Abstract Journal (AJ, Russia), and Current Bibliography on Science and Technology(CBST).Acta Armamentarii has been selected into the journal Of Ordnance Science and Technology (Weapons Industry) Field Of High Quality Scientific and Technological Periodical Classification Catalogue (2022 edition), ranking T1, and the journal of Automotive Engineering Field of High Quality Scientific and technological Periodical classification Catalogue, ranking T2.
Acta Armamentarii ›› 2021, Vol. 42 ›› Issue (4) : 684-696. DOI: 10.3969/j.issn.1000-1093.2021.04.002
Paper

Design of Shifting Rules of Automatic Transmission Based on Genetic Algorithm Optimization and Fuzzy Control DynamicOptimization

  • GAO Ziyin， DU Minggang， LI Shenlong， LI Jin
Author information +
History +

Abstract

The design of shifting rules of vehicle automatic transmission is optimized to improve the overall dynamics of light military wheeled vehicles. According to the simulation environment of MATLAB/Simulink, a vehicle dynamic model based on the two-parameter shifting rule of vehicle speed and throttle opening is constructed. Taking the shift point of the two-parameter shifting rule as the optimization object, the genetic algorithm is used to optimize the shift point. According to the characteristics of that the acceleration parameters can reflect the longitudinal dynamics of vehicle, the acceleration is introduced, and the fuzzy control algorithm is used to dynamically optimize the design of shifting rule, and a three-parameter fuzzy controller is constructed. The simulation model and real vehicle test were used to verify the influence of the shifting rule on vehicle dynamics before and after optimization. The results show that the optimized control strategy can effectively improve the vehicle's dynamic performance, more reasonably allocate the operating conditions of the engine and gear under the power demand, and effectively meet the power demand of military wheeled vehicles under complex road conditions.

Key words

lightcross-countrytacticalvehicle / automatictransmission / shiftingrule / geneticalgorithmoptimization / fuzzycontroloptimization

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations
GAO Ziyin， DU Minggang， LI Shenlong， LI Jin. Design of Shifting Rules of Automatic Transmission Based on Genetic Algorithm Optimization and Fuzzy Control DynamicOptimization. Acta Armamentarii. 2021, 42(4): 684-696 https://doi.org/10.3969/j.issn.1000-1093.2021.04.002

References


［1］张永明, 徐杰, 田晋跃. 考虑油门开度快速变化的工程车辆四参数换挡策略研究［J］. 机电工程, 2015,32(11):1489-1493.
ZHANG Y M, XU J, TIAN J Y.Four-parameters shift strategy of engineering vehicles based on fleetness changing of throttle opening［J］. Journal of Mechanical & Electrical Engineering, 2015,32(11): 1489-1493. (in Chinese)
［2］邢文金, 杨宝坤. 国内自动变速器换挡规律研究状况综述［J］.装备制造技术, 2014(3):283-286.
XING W J, YANG B K. Research on automatic transmission shifting rules of domestic situation ［J］. Equipment Manufacturing Technology, 2014(3):283-286. (in Chinese)
［3］晋磊. AMT重型越野车辆换挡规律优化［D］. 北京:北京理工大学, 2015.
JIN L. Shift schedule optimization of heavy off-road vehicles equiped with AMT ［D］. Beijing:Beijing Institute of Technology, 2015. (in Chinese)
［4］路红山, 巫世晶, 王嘉敏, 等. 履带车辆多参数模糊换挡策略［J］. 建筑机械(上半月), 2006 (5):51-54.
LU H S, WU S J, WANG J M, et al. Multi-parameter fuzzy shift schedule of tracked vehicles［J］. Construction Machinery(First Half of a Month), 2006 (5):51-54. (in Chinese)
［5］鲁文波. 履带车辆智能换档策略及其控制系统仿真研究［D］.武汉:华中科技大学, 2008.
LU W B. Research on intelligent shifting strategy and control system simulation of tracked vehicles［D］. Wuhan:Huazhong University of Science and Technology, 2008. (in Chinese)
［6］魏巍, 曲婧瑶, 武景燕, 等. 液力机械传动履带车辆换挡规律优化方法研究［J］. 兵工学报, 2011, 32(4):403-407.
WEI W, QU J Y, WU J Y, et al. Research on optimization me-thod for shift schedule of tracked vehicle with hydrodynamic-mecha-nical transmission ［J］. Acta Armamentarii, 2011, 32(4):403-407. (in Chinese)
［7］沈忠亮, 陈剑, 蒋丰鑫, 等. 改进的多岛遗传算法在动力总成悬置系统优化设计中的应用［J］. 噪声与振动控制, 2014, 34(6): 79-84.
SHEN Z L, CHEN J, JIANG F X, et al. Application of improved multi-island genetic algorithm to powertrain mounting system optimization［J］. Noise and Vibration Control, 2014, 34(6):79-84. (in Chinese)
［8］何仁, 徐益强. 并联混合动力汽车混合驱动模式的换挡规律［J］. 江苏大学学报(自然科学版), 2016, 37(6):657-662.
HE R, XU Y Q. Shift schedule of parallel hybrid electric vehicles under hybrid driving mode［J］. Journal of Jiangsu University (NaturalScience Edition), 2016, 37(6):657-662. (in Chinese)
［9］钟鑫. 公交车液力机械式自动变速器换挡规律的研究与优化［D］. 长沙:湖南大学, 2013.
ZHONG X. Research and optimization of shifting rules of bus's hydraulic mechanical automatic transmission［D］. Changsha:Hunan University, 2013. (in Chinese)
［10］宋强, 叶山顶, 李伟聪, 等. 基于多目标遗传算法的纯电动汽车AMT综合换挡规律研究［J］. 汽车工程学报, 2017, 7(1): 44-51.
SONG Q, YE S D, LI W C, et al. Research on AMT overall shift schedule for pure electric vehicles based on NSGA-II algorithm［J］. Chinese Journal of Automotive Engineering, 2017, 7(1):44-51. (in Chinese)
［11］HEH W, LI H N, PENG J L, et al. Dynamic modification of two-parameter shift schedule for automatic mechanical transmission in electric bus［C］∥Proceeding of 2017 Chinese Automation Congress. Jinan, China: IEEE, 2017: 7876-7880.
［12］葛安林, 李焕松, 武文治, 等. 动态三参数最佳换挡规律的研究［J］. 汽车工程, 1992, 14(4):239-247.
GE A L, LI H S, WU W Z, et al. Research on the optimal shift rule of dynamic three parameters［J］. Automotive Engineering, 1992, 14(4):239-247. (in Chinese)
［13］LIZ, LU X H, LIU Q F, et al. Optimization of dual clutch transmission shift schedule based on fuzzy algorithm［C］∥Proceedings of Youth Academic Conference of Chinese Association of Automation.Hefei, China: IEEE, 2017.
［14］XU Q W, LUO X X, JIANG X B, et al. Research on double fuzzy control strategy for parallel hybrid electric vehicle based on GA and DP optimisation［J］. IET Electrical Systems in Transportation, 2018, 8(2):144-151.
［15］丁华, 徐聪.基于驾驶意图识别的DCT模糊换挡控制策略研究［J］. 机电工程, 2018, 35(6):608-612.
DING H, XU C. Fuzzy shift control strategy of DCT based on driving intention recognition［J］. Journal of Mechanical & Electrical Engineering, 2018, 35(6):608-612. (in Chinese)
［16］褚园民, 吴怀超, 赵丽梅,等. 基于模糊理论的重型液力自动变速器换挡研究［J］. 计算机仿真, 2019, 36(5):137-143.
CHU Y M, WU H C, ZHAO L M, et al. Heavy hydraulic automatic transmission of shift research based on fuzzy theory［J］. Computer Simulation, 2019, 36(5):137-143. (in Chinese)
［17］徐杰. 基于模糊控制的工程车辆自动变速系统换挡规律研究［D］. 镇江:江苏大学, 2015.
XU J. Research on shifting rules of automatic transmission system of construction vehicle based on fuzzy control［D］. Zhenjiang:Jiangsu University, 2015. (in Chinese)



第42卷第4期2021年4月
兵工学报ACTA ARMAMENTARII
Vol.42No.4Apr.2021

304

Accesses

0

Citation

Detail
Sections
Recommended

/

〈 〉