【摘要】：面對(duì)能源緊缺和環(huán)境污染的雙重壓力,兼?zhèn)淞藗鹘y(tǒng)發(fā)動(dòng)機(jī)車輛的續(xù)駛里程和純電動(dòng)車輛的電能驅(qū)動(dòng)清潔高效優(yōu)點(diǎn)的增程式電動(dòng)汽車受到了廣泛的關(guān)注。增程式電動(dòng)汽車擁有動(dòng)力電池和增程器兩個(gè)能量源,動(dòng)力電池容量較大,可以利用外部電網(wǎng)進(jìn)行充電,能夠?qū)崿F(xiàn)一定的純電動(dòng)續(xù)駛里程,增程器能夠保證較長(zhǎng)距離的行駛,是純電動(dòng)技術(shù)瓶頸突破之前的理想過(guò)渡車型。此外,智能信息系統(tǒng)的發(fā)展使得電動(dòng)汽車能量管理控制有了更多的靈活性和節(jié)能潛力。本文針對(duì)基于智能交通信息的增程式電動(dòng)汽車充電規(guī)劃控制方法和能量管理控制策略進(jìn)行研究,主要研究?jī)?nèi)容如下:根據(jù)增程式電動(dòng)汽車的結(jié)構(gòu)特點(diǎn)及性能參數(shù)設(shè)計(jì)目標(biāo),對(duì)目標(biāo)車型的動(dòng)力系統(tǒng)部件進(jìn)行了匹配,在Matlab/Simulink中建立了增程式電動(dòng)汽車的前向仿真模型,為開展能量管理控制策略研究和效果驗(yàn)證提供了仿真平臺(tái)。結(jié)合增程式電動(dòng)汽車的工作模式,提出了增程式電動(dòng)汽車多工作點(diǎn)控制策略,基于阿特金森循環(huán)發(fā)動(dòng)機(jī)的工作特點(diǎn)、燃油消耗曲線、發(fā)電機(jī)效率曲線和控制策略設(shè)計(jì)要求進(jìn)行了工作點(diǎn)的選擇及計(jì)算。在控制規(guī)則中引入功率遲滯環(huán)節(jié)以緩解發(fā)動(dòng)機(jī)頻繁波動(dòng),進(jìn)行了增程式電動(dòng)汽車多工作點(diǎn)控制策略的仿真分析�；�"車-路-網(wǎng)"系統(tǒng)及各類電動(dòng)汽車的充電特點(diǎn),構(gòu)建了由行程時(shí)間、能量消耗和充電等待時(shí)間組成的綜合阻抗評(píng)價(jià)指標(biāo)體系,對(duì)基于交通信息的增程式電動(dòng)汽車的充電規(guī)劃控制方法進(jìn)行研究。設(shè)計(jì)了增程式電動(dòng)汽車充電規(guī)劃控制方案,采用Dijkstra算法求取最優(yōu)充電路徑。建立了北京市海淀區(qū)部分區(qū)域路網(wǎng)模型,進(jìn)行了純電動(dòng)續(xù)駛里程內(nèi)的充電路徑規(guī)劃仿真分析和增程模式續(xù)駛里程內(nèi)的充電路徑規(guī)劃分析。對(duì)基于交通信息的增程式電動(dòng)汽車能量管理策略進(jìn)行了研究。利用實(shí)時(shí)獲取的交通信息并考慮交通信息的動(dòng)態(tài)變化,采用遺傳算法以油耗、電耗和電池充電倍率最小為優(yōu)化目標(biāo)對(duì)增程器多工作點(diǎn)控制策略的開啟時(shí)機(jī)進(jìn)行實(shí)時(shí)動(dòng)態(tài)優(yōu)化,在保證電池壽命的基礎(chǔ)上,進(jìn)一步提高了燃油經(jīng)濟(jì)性。完成TC1782開發(fā)板底層軟件的開發(fā),搭建硬件在環(huán)仿真測(cè)試平臺(tái),對(duì)增程式電動(dòng)汽車多工作點(diǎn)控制策略和基于交通信息的增程式電動(dòng)汽車能量管理策略進(jìn)行了測(cè)試分析。
[Abstract]:Facing the dual pressure of energy shortage and environmental pollution, extended range electric vehicles (EVs), which have both the driving range of traditional engine vehicles and the electric power drive of pure electric vehicles, have been paid more and more attention. The extended range electric vehicle has two energy sources, the power battery and the range booster. The power battery has a large capacity, it can be charged by the external power grid, and it can realize a certain range of pure electric driving, and the range booster can guarantee the long distance running. Is pure electric technology bottleneck breakthrough before the ideal transition model. In addition, with the development of intelligent information system, electric vehicle energy management and control has more flexibility and energy saving potential. In this paper, the charging planning control method and energy management control strategy of extended range electric vehicle based on intelligent traffic information are studied. The main research contents are as follows: according to the structure characteristics and performance parameter design goal of extended range electric vehicle, The power system components of the target vehicle are matched, and the forward simulation model of the extended range electric vehicle is established in Matlab/Simulink, which provides a simulation platform for the research of the energy management control strategy and the verification of the effect. Combined with the working mode of extended range electric vehicle, the control strategy of multi working point of extended range electric vehicle is put forward. Based on the working characteristics of Atkinson cycle engine and the fuel consumption curve, The generator efficiency curve and control strategy design requirements are selected and calculated. In order to alleviate the frequent fluctuation of engine, the power hysteresis is introduced into the control rules, and the simulation analysis of multi-working point control strategy for extended range electric vehicle is carried out. Based on the charging characteristics of "vehicle-road network" system and all kinds of electric vehicles, a comprehensive impedance evaluation index system composed of travel time, energy consumption and charge waiting time is constructed. The charging planning control method of extended range electric vehicle based on traffic information is studied. In this paper, an extended range electric vehicle charging planning control scheme is designed, and the optimal charging path is obtained by Dijkstra algorithm. A part of regional road network model in Haidian District of Beijing is established, and the simulation analysis of charging path planning in pure electric driving mileage and the charging path planning analysis in extended range mode are carried out. The energy management strategy of extended range electric vehicle based on traffic information is studied. Using real-time traffic information and considering the dynamic change of traffic information, the genetic algorithm is used to optimize the opening time of the multi-working point control strategy of the range booster with the minimum fuel consumption, power consumption and battery charging rate as the optimization target. On the basis of guaranteeing battery life, fuel economy is further improved. The bottom software of TC1782 development board is developed, and the hardware in loop test platform is built. The multi-working point control strategy of extended range electric vehicle and the energy management strategy of extended range electric vehicle based on traffic information are tested and analyzed.
【學(xué)位授予單位】：北京交通大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：U469.72;U495

【參考文獻(xiàn)】

相關(guān)碩士學(xué)位論文 前2條

1 張思遠(yuǎn);基于Atkinson循環(huán)的汽油機(jī)開發(fā)及性能優(yōu)化[D];湖南大學(xué);2015年

2 李彥濤;混合動(dòng)力汽車用Atkinson循環(huán)發(fā)動(dòng)機(jī)的燃油經(jīng)濟(jì)性研究[D];天津大學(xué);2012年

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本文編號(hào)：2373465