车辆电控空气悬挂结构优化模型与优化设计方法研究

doi:10.3969/j.issn.1000-1093.2018.07.002

摘要/Abstract

摘要： 针对悬挂结构及参数设计不合理导致的刚度曲线不理想、车辆姿态不一、调节困难等问题，在分析车辆电控空气悬挂特性指标、影响因素、约束条件基础上，提出了满足设计要求的电控空气悬挂特性优化设计规则与评价方法。建立多目标的悬挂结构优化目标模型，并对其结构及参数进行优化设计。研究结果表明：基于多目标电控空气悬挂结构优化目标模型、优化规则与评价方法，体现了前期悬挂设计与后期实车行驶的多方面要求；结构优化规则与评价方法科学、可行，适用于摆动缸与固定缸式油气悬挂的结构优化设计与评价。

关键词: 车辆, 电控空气悬挂, 优化目标模型, 结构优化方法, 评价方法

Abstract: For non-ideal stiffness curve, different attitudes or difficult adjustment of a tracked vehicle, which are resulted from improperly designed structure and parameters, a multi-objective target model for optimization structure of electronically controlled air suspension system (ECASS) is proposed based on the analysis of the characteristics indexes of ECASS as well as influence factors and constraints. The structure and parameters are optimized reasonably. The optimization design method and evaluation method are proposed. Research shows that both multi-objective optimization target model and evaluation method reflect the various requirements for whether designing in early or field running in later. The proposed method is suitable for optimizing and evaluating the hydro-pneumatic suspension with fixed cylinder or swing cylinder. Key

Key words: vehicle, electronicallycontrolledairsuspensionsystem, optimaltargetmodel, optimizingmethodofstructure, evaluationmethod

中图分类号:

TJ810.3⁺32

雷强顺，彭友余，汪国胜，王超，宋慧新. 车辆电控空气悬挂结构优化模型与优化设计方法研究[J]. 兵工学报, 2018, 39(7): 1259-1267.

LEI Qiang-shun, PENG You-yu, WANG Guo-sheng, WANG Chao, SONG Hui-xin. Study of Optimal Model and Optimizing Method for the Electronically Controlled Air Suspension System Structure[J]. Acta Armamentarii, 2018, 39(7): 1259-1267.

参考文献

［1］ Guendin A M. Electromechanical suspension performance testing[C]∥SAE 2001 World Congress. Detroit, MI, US: SAE, 2001.
[2］ Weeks D A, Beno J H, Bresie D A, et al. Laboratory testing of active electromagnetic near constant force suspension(NCFS) concept on subscale four corner, full vehicle test-rig[C]∥SAE International Congress and Exposition. Detroit, MI, US:SAE, 1997.
[3］ Weeks D A, Beno J H, Guenin A M, et al. Electromechanical active suspension demonstration for off-road vehicles[C]∥SAE 2000 World Congress. Detroit, MI, US:SAE,2000.
[4］何鹏. 主动悬挂技术的应用与发展[J]. 车辆与动力技术, 2009(1):57-60.
HE Peng. Application and development of active suspension technology[J]. Vehicle & Power Technology, 2009(1): 57-60. (in Chinese)
[5］汪国胜, 雷强顺, 李波, 等.基于双弹簧对称布置的刚度可调式半主动悬架设计[J]. 装甲兵工程学院学报, 2014, 28(5):25-28.
WANG Guo-sheng, LEI Qiang-shun, LI Bo, et al. Design of semi-active suspension with adjustable stiffness based on double springs arranged symmetrically[J]. Journal of Academy of Armored Force Engineering, 2014, 28(5):25-28. (in Chinese)
[6］谢东升, 王璐, 汪国胜, 等. 电控空气悬挂刚度特性分析研究[J]. 装甲兵工程学院学报, 2017, 31(3):53-57.
XIE Dong-sheng, WANG Lu, WANG Guo-sheng, et al. Study on the stiffness characteristic for the electromagnetic suspension with its analysis method[J]. Journal of Academy of Armored Force Engineering, 2017,31(3): 53-57. (in Chinese)
[7］雷强顺, 汪国胜, 王璐, 等. 军用车辆强振分析与悬架参数匹配方法[J]. 解放军理工大学学报:自然科学版, 2016, 17(8): 591-597.
LEI Qiang-shun, WANG Guo-sheng, WANG Lu, et al. Reason analysis for military vehicle with great vibration and parameters matching for its suspension[J]. Journal of PLA University of Science and Technology: Natural Science Edition, 2016, 17(8):591-597. (in Chinese)
[8］张仕民, 李强. 汽车悬架系统优化设计的复合遗传算法[J]. 机械科学与技术, 2000, 19(4):571-576.
ZHANG Shi-min, LI Qiang. Complex genetic algorithm for optimization of car suspension system[J]. Mechanical Science and Technology, 2000,19(4): 571-576. (in Chinese)
[9］潘国建, 刘献栋. 汽车悬架参数优化的最优控制方法[J]. 农业机械学报, 2005, 36(11):21-24.
PAN Guo-jian, LIU Xian-dong. Optimal control method for optimization of vehicle suspension parameters[J].Transactions of the Chinese Society of Agricultural Machinery, 2005, 36(11):21-24. (in Chinese)

[10］苏泉, 空气悬架结构优化及最优控制研究[D]. 武汉:武汉理工大学, 2005.
SU Quan. Research on structure optimizing and optimal control for aerial suspension[D]. Wuhan: Wuhan University of Techno-logy, 2005. (in Chinese)
[11］陈士安, 何仁, 陆森林. 汽车平顺性评价体系[J]. 江苏大学学报:自然科学版, 2006, 27(3):229-233.
CHEN Shi-an, HE Ren, LU Sen-lin. Evaluating system of vehicle ride comfort[J]. Journal of Jiangsu University: Natural Science Edition, 2006, 27(3):229-233. (in Chinese)
[12］吴志成, 陈思忠, 杨林, 等. 越野车辆平顺性评价方法研究[J]. 兵工学报, 2007, 28(11):1393-1396.
WU Zhi-cheng, CHEN Si-zhong, YANG Lin, et al. Research on objective evaluation criterion for ride comfort of off-road vehicles[J]. Acta Armamentarii, 2007, 28(11): 1393-1396. (in Chinese)
[13］徐中明, 张志飞, 贺岩松. 对汽车平顺性评价方法的探讨与建议[J]. 汽车工程, 2010, 32(1):73-76.
XU Zhong-ming, ZHANG Zhi-fei, HE Yan-song. On the evaluation method of vehicle ride comfort[J]. Automotive Engineering, 2010, 32(1):73-76. (in Chinese)
[14］ International Organization for Standardization. ISO 2631-1: 1997 Mechanical vibration and shock-evaluation of human exposure to whole-body vibration[S]. Switzerland:ISO, 1997.
[15］ International Organization for Standardization. ISO 8041-2: 2005 Human response to vibration-measuring instrumentation [S]. 2nd ed. Switzerland:ISO, 2005.
［16］中国兵器工业第201研究所. 美国陆军试验操作规程选编:车辆野外振动与冲击试验[M].北京:兵器工业部科技局, 1984.
The 201st Institute, Ministry of Ordnance Industry of the People's Republic of China. Selections from U.S. Army test operations procedure: field vibration and impact test of vehicles[M]. Beijing: Science and Technology Bureau, Ministry of Ordnance Industry of the People's Republic of China, 1984. (in Chinese)
[17］ GJB 59.15—1988装甲车辆试验规程-野外振动试验[S]. 北京:国防科学技术工业委员会, 1988.
GJB 59.15—1988 the test operation procedure of armoured vehicle- vibration test in field[S]. Beijing: Commission of Science, Technology and Industry for National Defense,1988. (in Chinese)
[18］闫清东, 张连第, 赵毓芹. 坦克构造与设计:上册[M]. 北京:北京理工大学出版社, 2006.
YAN Qing-dong, ZHANG Lian-di, ZHAO Yu-qin. Tank structure and design:top volume[M]. Beijing: Beijing Institute of Technology Press, 2006. (in Chinese)

第39卷
第7期2018 年7月兵工学报ACTA
ARMAMENTARIIVol.39No.7Jul.2018

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