【摘要】：隨著全球氣候變暖,環(huán)境污染加重,同時伴隨著能源危機(jī)和能源安全的壓力,以石油為主要能源的傳統(tǒng)汽車產(chǎn)業(yè)面臨著前所未有的挑戰(zhàn),開發(fā)清潔、高效、智能的新型汽車已迫在眉睫。插電式混合動力不需要構(gòu)建專用充電設(shè)施,便于推廣應(yīng)用,與純電動相比行駛里程大大增加,有效地解決了純電動汽車?yán)m(xù)航里程不足的問題;與傳統(tǒng)汽車相比,有效地減少了尾氣排放造成的環(huán)境污染。論文主要研究工作如下:1.為了確保車輛仿真的精確性,本文根據(jù)汽車重量、迎風(fēng)面積、輪胎尺寸等參數(shù)和整車的性能指標(biāo),結(jié)合汽車?yán)碚�、汽車設(shè)計、車輛動力學(xué)等有關(guān)知識,為整車設(shè)計匹配了合適的電機(jī)、動力電池、發(fā)動機(jī)和速比等參數(shù)。2.本文選擇Matlab/Simulink平臺建立發(fā)動機(jī)、電機(jī)、動力電池、駕駛員、整車控制器等模型,然后按照P1+P4的混合動力系統(tǒng)結(jié)構(gòu)搭建成整車仿真模型。采用這個平臺進(jìn)行建模仿真既可以對整車控制器內(nèi)的控制策略模型進(jìn)行MIL測試和驗證,又可通過代碼生成技術(shù)與底層驅(qū)動程序直接集成,形成實(shí)際控制軟件。與傳統(tǒng)C代碼開發(fā)技術(shù)相比,這種技術(shù)手段在很大程度上提高了開發(fā)效率,降低了研究的成本。3.針對離合器模型,本文分別采用了PID控制和自適應(yīng)模糊神經(jīng)網(wǎng)絡(luò)控制對其進(jìn)行調(diào)節(jié)。PID控制的使用非常廣泛,但是在復(fù)雜且非線性的離合器系統(tǒng)中,它的控制效果受到了很大的影響,因此引入了自適應(yīng)模糊神經(jīng)網(wǎng)絡(luò)對其進(jìn)行調(diào)節(jié)。仿真表明,采用自適應(yīng)模糊神經(jīng)網(wǎng)絡(luò)控制的離合器性能比PID控制有了很大的提升,接合時間縮短了27%,滑磨功減小了15.8%,沖擊度減小了51.4%,這將使車輛的性能和駕駛舒適性有極大的改善。4.為了使仿真的操作更加便捷高效,仿真的結(jié)果更加清晰易讀,本文通過Matlab平臺設(shè)計了GUI圖形用戶界面,該軟件綜合了車型選擇、參數(shù)修改、模型更正、工況設(shè)定等諸多功能,可以很好的與模型和仿真兼容。此外為了便于車輛控制器的實(shí)車測試,通過Lab VIEW設(shè)計了基于車輛CAN網(wǎng)絡(luò)的監(jiān)控軟件,實(shí)現(xiàn)了車輛信息和故障狀態(tài)的實(shí)時采集、解析和保存,并可根據(jù)需求向指定節(jié)點(diǎn)發(fā)送報文。
[Abstract]:With the global warming and environmental pollution increasing, along with the energy crisis and the pressure of energy security, the traditional automobile industry with oil as the main energy source is facing unprecedented challenges. Intelligent new cars are imminent. The plug-in hybrid electric power does not need to build special charging facilities, which is convenient for popularization and application. Compared with the pure electric vehicle, the driving mileage is greatly increased, which effectively solves the problem of the shortage of the pure electric vehicle's endurance mileage. It can effectively reduce the environmental pollution caused by tail gas emission. The main research work is as follows: 1. In order to ensure the accuracy of vehicle simulation, according to the parameters of vehicle weight, upwind area, tire size and the performance index of the whole vehicle, this paper combines the relevant knowledge of automobile theory, automobile design, vehicle dynamics and so on. Suitable parameters such as motor, power battery, engine and speed ratio are matched for the whole vehicle design. 2. In this paper, the engine, motor, power battery, driver and vehicle controller are built on Matlab/Simulink platform, and then the vehicle simulation model is built according to the structure of P1P4 hybrid power system. This platform can not only test and verify the control strategy model in the whole vehicle controller by MIL, but also directly integrate the code generation technology with the underlying driver to form the actual control software. Compared with the traditional C code development technology, this technique improves the development efficiency and reduces the research cost to a great extent. In this paper, PID control and adaptive fuzzy neural network control are used to adjust the clutch model. The PID control is widely used, but in the complex and nonlinear clutch system, Its control effect is greatly affected, so adaptive fuzzy neural network is introduced to adjust it. Simulation results show that the performance of clutch with adaptive fuzzy neural network control is much better than that of PID control. The bonding time is reduced by 27%, the sliding power is reduced by 15.8 and the impact degree is reduced by 51.4, which will greatly improve the performance and driving comfort of the vehicle. 4. In order to make the operation of simulation more convenient and efficient, and the results of simulation more clear and easy to read, this paper designs the GUI graphical user interface through Matlab platform. The software integrates many functions, such as model selection, parameter modification, model correction, working condition setting and so on. Good compatibility with model and simulation. In addition, in order to facilitate the vehicle controller test, a monitoring software based on the vehicle CAN network is designed by Lab VIEW, which can collect, analyze and save the vehicle information and fault state in real time, and can send the message to the designated node according to the requirement.
【學(xué)位授予單位】：浙江工業(yè)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2016
【分類號】：U469.7;U463.211

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