基于粒子群算法的汽车TBW综合换档规律研究
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摘要
为同时兼顾汽车动力性与经济性要求,在制定以最低比油耗为换档依据的经济性换档规律和以最大加速度为换档依据的动力性换档规律的基础上,提出一种制定和优化综合性换档规律的方法。运用归一化处理的原则,对整车能耗变化率和加速度平均变化率进行权重求和,建立总目标优化函数的数学模型,采用多目标粒子群算法进行优化仿真。通过分析适应度值随迭代次数的变化曲线以及粒子的动态寻优图解,得到综合性换档规律曲线。结果表明,优化后的综合性换档规律,满足经济性要求,动力性能平均改善率达到13.24%,即整车性能得到提高。
Based on formulating the economic and dynamic shifting schedule of the car with the lowest specific fuel consumption and maximum acceleration as the basis for shifting, a method of formulating and optimizing the regularity of comprehensive shift schedule is proposed to take account of dynamic and economical requirements of automobile.According to the principle of normalization, vehicle energy consumption change rate and acceleration average change rate are weighted to sum, and the mathematical model of the general objectives optimizing function is optimized by multi-objective particle swarm optimization.The comprehensive shift law curve is obtained by analyzing the variation curve of the fitness value with the number of iterations and the dynamic optimization diagram of the particles.The results show that the optimized comprehensive shifting rules met the economic requirements, and the average improvement rate of dynamic performance, between the optimized comprehensive shifting rules and the un-optimized shifting rules, reached 13.24 %. That is to say, the vehicle performance has been improved.
Based on formulating the economic and dynamic shifting schedule of the car with the lowest specific fuel consumption and maximum acceleration as the basis for shifting, a method of formulating and optimizing the regularity of comprehensive shift schedule is proposed to take account of dynamic and economical requirements of automobile.According to the principle of normalization, vehicle energy consumption change rate and acceleration average change rate are weighted to sum, and the mathematical model of the general objectives optimizing function is optimized by multi-objective particle swarm optimization.The comprehensive shift law curve is obtained by analyzing the variation curve of the fitness value with the number of iterations and the dynamic optimization diagram of the particles.The results show that the optimized comprehensive shifting rules met the economic requirements, and the average improvement rate of dynamic performance, between the optimized comprehensive shifting rules and the un-optimized shifting rules, reached 13.24 %. That is to say, the vehicle performance has been improved.
引文
[1] 何宁,赵治国,李瑜婷.双离合器自动变速器换挡规律及其仿真评价[J].中国机械工程,2011,22(3):367-373.
[2] 成岳华,李翔晟,罗俊勇.汽车自动变速器换档规律优化设计[J].计算机仿真,2016,33(4):227-231.
[3] 周良锋,郭仲海.基于Cruise的AMT汽车换挡规律仿真分析与优化[J].农业装备与车辆工程,2011(4):37-38.
[4] 张晓聪,孙良,王伟达,等.某矿用汽车动力性换档规律设计及优化[J].车辆与动力技术,2015(4):36-41.
[5] 曲金玉,任传波,吕娜娜,等.带无刷线控离心球臂接合装置的汽车六档自动变速器,CN201720021541.1[P].2017.
[6] 张永明.轻型商用车AMT综合智能型换挡规律研究[D].镇江:江苏大学,2017.
[7] 余志生.汽车理论[M].北京:机械工业出版社,2012.
[8] GENE Y.J,QUAIL A.M.Experiment and simulation of medium-duty tactical truck for fuel economy improvement[J].Energies,2011,4(2):276-293.
[9] GONG J,ZHAO D,CHEN Y,CHEN N.Study on shift schedule saving energy of automatic transmission of ground vehicles[J].Journal of Zhejiang University Science,2004 (7):130-135.
[10] 涂波涛.新型七速对置双离合变速器自动变速控制研究[D].合肥:合肥工业大学,2017.
[11] GUAN L,ZHANG T,MA Y.Shift schedule of automatic transmission of construction vehicle based on Matlab/Simulink[J].Journal of Qingdao University,2016,4(88):436-439.
[12] 陈绍新.多目标优化的粒子群算法及其应用研究[D].大连:大连理工大学,2007.
[13] 赵立军,张艳芬,刘清河.纯电动商用车机械式自动变速器综合换档策略[J].西安交通大学学报(自然科学版),2015,49(6):46-52.
[2] 成岳华,李翔晟,罗俊勇.汽车自动变速器换档规律优化设计[J].计算机仿真,2016,33(4):227-231.
[3] 周良锋,郭仲海.基于Cruise的AMT汽车换挡规律仿真分析与优化[J].农业装备与车辆工程,2011(4):37-38.
[4] 张晓聪,孙良,王伟达,等.某矿用汽车动力性换档规律设计及优化[J].车辆与动力技术,2015(4):36-41.
[5] 曲金玉,任传波,吕娜娜,等.带无刷线控离心球臂接合装置的汽车六档自动变速器,CN201720021541.1[P].2017.
[6] 张永明.轻型商用车AMT综合智能型换挡规律研究[D].镇江:江苏大学,2017.
[7] 余志生.汽车理论[M].北京:机械工业出版社,2012.
[8] GENE Y.J,QUAIL A.M.Experiment and simulation of medium-duty tactical truck for fuel economy improvement[J].Energies,2011,4(2):276-293.
[9] GONG J,ZHAO D,CHEN Y,CHEN N.Study on shift schedule saving energy of automatic transmission of ground vehicles[J].Journal of Zhejiang University Science,2004 (7):130-135.
[10] 涂波涛.新型七速对置双离合变速器自动变速控制研究[D].合肥:合肥工业大学,2017.
[11] GUAN L,ZHANG T,MA Y.Shift schedule of automatic transmission of construction vehicle based on Matlab/Simulink[J].Journal of Qingdao University,2016,4(88):436-439.
[12] 陈绍新.多目标优化的粒子群算法及其应用研究[D].大连:大连理工大学,2007.
[13] 赵立军,张艳芬,刘清河.纯电动商用车机械式自动变速器综合换档策略[J].西安交通大学学报(自然科学版),2015,49(6):46-52.