混动控制策略在Matlab/Simulink中的仿真与优化
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摘要
针对混合动力车控制系统复杂,开发效率低,工作量巨大且出错率高的问题,结合氢电混合动力车型,分析其控制策略存在的缺陷,并有针对性的对其进行优化。利用MATLAB/Simulink搭建功率分配策略模块的框图,选定多组实验数据,并根据控制策略计算出理论输出值,利用自定义信号发生器(signal builder)进行数据输入,运行搭建的功率分配策略模块,通过输出值与理论值的对比,分析控制策略的合理性,并根据出现的问题反馈进行修正使最终得到优化后的控制策略是合理的。
For the problem of hybrid control system is complex,the workload is heavy,low efficiency and high error rate,according the hydrogen electric hybrid vehicles,the imperfection of the control strategy was analyzed and optimized,the power allocation strategy module block diagram was built using MATLAB/Simulink,multiple sets of experimental data was selected,the output value was calculated according to the theory of control strategy,then the data was inputted using the signal builder,through comparison of the output value with the theoretical value,the rationality of the control strategy was analyzed, the results of the power allocation strategy is reasonable was got.
For the problem of hybrid control system is complex,the workload is heavy,low efficiency and high error rate,according the hydrogen electric hybrid vehicles,the imperfection of the control strategy was analyzed and optimized,the power allocation strategy module block diagram was built using MATLAB/Simulink,multiple sets of experimental data was selected,the output value was calculated according to the theory of control strategy,then the data was inputted using the signal builder,through comparison of the output value with the theoretical value,the rationality of the control strategy was analyzed, the results of the power allocation strategy is reasonable was got.
引文
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[10]Bai YH;Liu C.Research on performance of two real-time simulation environments:RTWT and xPC Target[C].Engineering Solutions for Manufacturing Processes IV,PTS 1 AND 2,2014,889-890:1257-1261.
[2]刘涛,胡淑荣,罗念宁.静液传动混合动力车辆控制策略优化[J].哈尔滨工业大学学报,2011(9):86-90.(Liu Tao,Hu Shu-rong,Luo Nian-ning.Optimization of hydrostatics hybrid vehicle control strategy[J].Journal of Harbin Institute of Technology,2011(9):86-90.)
[3]Tao,XY;Li,N;Li,SY.Multiple model predictive control for large envelope flight of hypersonic vehicle systems[J].Information Sciences,2015,328(8):115-126.
[4]姚伟,文劲宇,程时杰.基于Matlab/Simulink的电力系统仿真工具箱的开发[J].电网技术,2012(6):95-101.(Yao Wei. Wen Jin-yu.Cheng Shi-jie.Development of a matlab/simulink based power system simulation toolbox[J].Power System Technology,2012(6):95-101.)
[5]Kumar CSN,Subramanian SC.Cooperative control of regenerative braking and friction braking for a hybrid electric vehicle[J].Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering,2015,230(1):103-116.
[6]谭德荣,孙静霞,王兴伟.基于ADVISOR二次开发的Plug-in HEV模糊控制研究[J].重庆交通大学学报:自然科学版,2011,30(5):1054-1058.(Tan De-rong,Sun Jing-xia,Wang Xing-wei.Fuzzy control study on plugin HEV with redeveloped ADVISOR[J].Journal of Chongqing Jiaotong University:Natural Science,2011,30(5):1054-1058.)
[7]黄明宇,冯小保,厉丹彤.基于先进车辆模拟器的小功率氢电混合电动车混合度的仿真研究[J].南通大学学报:自然科学版,2013,12(4):29-33.(Huang Ming-yu,Feng Xiao-bao,Li Dan-tong.Simulated study on hybrid ratio of low power hydrogen-electric full cell ground vehicle based on advanced vehicle simulator[J].Journal of Nantong University:Natural Science Edition,2013,12(4):29-33.)
[8]Zhou,WS;Zhang,Li;Fan,C.Development of a real-time force-controlled compliant polishing tool system with online tuning neural proportionalintegral-derivative controller[J].Proceedings of the Institution of Mechanical Engineers Part I-Journal of Systems and Control Engineering,2015,229(5):440-454.
[9]沈楷,郭建国,卢晓东.基于Simulink/RTW的RTX系统仿真建模方法[J].计算机测量与控制,2014(2):566-568.(Shen Kai,Guo Jian-guo,Lu Xiao-dong.Simulation modeling method under RTX subsystem based on simulink/RTW[J].Computer Measurement&Control,2014(2):566-568.)
[10]Bai YH;Liu C.Research on performance of two real-time simulation environments:RTWT and xPC Target[C].Engineering Solutions for Manufacturing Processes IV,PTS 1 AND 2,2014,889-890:1257-1261.