本文選題：太陽能輔助混合動力房車 + 車輛控制器　； 參考：《哈爾濱工業(yè)大學(xué)》2016年碩士論文

【摘要】：近年來,在能源危機(jī)、環(huán)境危機(jī)與房車市場快速發(fā)展的背景下,越來越多的國內(nèi)外企業(yè)開始著眼于開發(fā)新能源房車。隨著國內(nèi)外車企對混合動力技術(shù)的研究日趨成熟,一種以太陽能作為輔助動力的太陽能輔助混合動力房車應(yīng)運(yùn)而生。太陽能輔助混合動力房車是在傳統(tǒng)油電混合動力傳動系統(tǒng)的基礎(chǔ)上增加太陽能電池作為輔助動力和蓄電池一起給電機(jī)提供能量,具備高效、節(jié)能的特點(diǎn),既達(dá)到了保護(hù)環(huán)境、緩解能源危機(jī)的目的,又滿足廣大消費(fèi)者對房車的需求。本文以傳動系統(tǒng)參數(shù)匹配優(yōu)化和控制策略仿真分析為重點(diǎn),進(jìn)行太陽能輔助混合動力房車傳動系統(tǒng)匹配和控制策略研究。選擇太陽能輔助混合動力房車結(jié)構(gòu)型式,確定傳動系統(tǒng)方案,分析傳動系統(tǒng)組成結(jié)構(gòu)并對關(guān)鍵部件進(jìn)行選型。根據(jù)行駛工況結(jié)合整車基本參數(shù)和動力指標(biāo)對太陽能輔助混合動力房車傳動系統(tǒng)關(guān)鍵部件進(jìn)行參數(shù)匹配與建模。將匹配結(jié)果導(dǎo)入到ADVISOR軟件中進(jìn)行性能仿真驗(yàn)證匹配的合理性。運(yùn)用Auto-size模塊對匹配的參數(shù)進(jìn)行優(yōu)化,將優(yōu)化前后的參數(shù)導(dǎo)入到ADVISOR軟件中進(jìn)行性能仿真對比分析。根據(jù)太陽能輔助混合動力房車控制策略的原理分別設(shè)計(jì)太陽能輔助混合動力房車的驅(qū)動模糊控制策略和制動模糊控制策略。將模糊控制策略導(dǎo)入到ADVISOR整車模型中與軟件自帶的電機(jī)助力型控制策略進(jìn)行仿真對比分析。此外,對太陽能輔助混合動力房車的車輛控制器進(jìn)行硬件設(shè)計(jì),包括車輛控制器MCU芯片的最小系統(tǒng)、CAN通訊模塊和信號采集模塊電路的設(shè)計(jì)。太陽能輔助混合動力房車性能仿真結(jié)果表明達(dá)到動力指標(biāo)要求,參數(shù)匹配合理。通過優(yōu)化前后性能仿真對比分析可以發(fā)現(xiàn),動力性優(yōu)化目標(biāo)0-50km/h加速時(shí)間減少了2.6%,經(jīng)濟(jì)性優(yōu)化目標(biāo)百公里燃油消耗量減少了4.5%,可見優(yōu)化后車輛的動力性和經(jīng)濟(jì)性都得到一定程度的改善。通過控制策略仿真對比分析可以發(fā)現(xiàn),運(yùn)用模糊控制策略時(shí)蓄電池SOC能夠維持在0.6與0.7之間;在車輛制動時(shí),模糊控制的電機(jī)輸出功率絕對值遠(yuǎn)遠(yuǎn)大于電機(jī)助力型控制,電機(jī)回收的制動能量高于電機(jī)助力型控制;電機(jī)輸出轉(zhuǎn)矩和發(fā)動機(jī)輸出轉(zhuǎn)矩也明顯要高于電機(jī)助力型控制。在仿真過程中,太陽能電池輸出能量占蓄電池輸出能量和太陽能電池輸出能量總和的5.1%,可見太陽能電池起到輔助的作用。
[Abstract]:In recent years, in the context of the energy crisis, the environmental crisis and the rapid development of the car market, more and more enterprises at home and abroad have begun to focus on the development of new energy vehicles. With the growing maturity of the research on hybrid power technology at home and abroad, a solar assisted hybrid power car with solar energy as a auxiliary power arises at the historic moment. On the basis of the traditional oil and electricity hybrid power transmission system, the Yang energy auxiliary hybrid electric vehicle increases the solar cell as the auxiliary power and the battery to provide the energy to the motor. It has the characteristics of high efficiency and energy saving. It not only achieves the protection of the environment, alleviate the energy crisis, but also satisfies the demand of the consumers to the car. The key of the transmission system parameter matching optimization and control strategy simulation analysis is to carry out the research on the matching and control strategy of the solar assisted hybrid electric vehicle transmission system. Select the solar auxiliary hybrid electric vehicle structure type, determine the transmission system scheme, analyze the structure of the transmission system and select the key components. The parameters matching and modeling of the key components of the solar assisted hybrid electric vehicle transmission system are combined with the basic vehicle parameters and dynamic indexes. The matching results are introduced into the ADVISOR software for performance simulation verification and matching. The parameters of the matched parameters are optimized by using the Auto-size module, and the parameters before and after the optimization are introduced into A The performance simulation of DVISOR software is compared and analyzed. Based on the principle of solar assisted hybrid electric vehicle control strategy, the driving fuzzy control strategy and the braking fuzzy control strategy of the solar auxiliary hybrid vehicle are designed respectively. The fuzzy control strategy is introduced into the ADVISOR vehicle model and the motor power control control with the software self-contained The strategy carries on the simulation contrast analysis. In addition, the hardware design of the vehicle controller of the solar assisted hybrid electric vehicle, including the minimum system of the vehicle controller MCU chip, the CAN communication module and the signal acquisition module circuit, is designed. The performance simulation results of the solar assisted hybrid RV show that the parameters of the power index are reached and the parameters are obtained. According to the comparison and analysis of performance simulation before and after optimization, it is found that the acceleration time of the dynamic optimization target 0-50km/h is reduced by 2.6%, the fuel consumption of the optimization target is reduced by 4.5%, and the power and economy of the vehicle are improved to a certain extent. It is found that the battery SOC can be maintained between 0.6 and 0.7 when the fuzzy control strategy is used. When the vehicle braking, the absolute value of the motor output power of the fuzzy control is far greater than the motor power control. The braking energy of the motor is higher than the motor support control; the output torque of the motor and the output torque of the engine are also obviously higher than that of the motor aid. In the process of simulation, the output energy of the solar cell accounts for 5.1% of the total output energy of the battery and the output energy of the solar cell, and it can be seen that the solar cell plays an auxiliary role.

【學(xué)位授予單位】：哈爾濱工業(yè)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2016
【分類號】：U469.7
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本文編號：1883292