本文選題：Plug-in混合動(dòng)力叉車 + 控制策略　； 參考：《合肥工業(yè)大學(xué)》2014年碩士論文

【摘要】：叉車作為一種使用量較大的工業(yè)車輛,使用混合動(dòng)力技術(shù)對(duì)于減少油耗和排放有著重要的意義。同時(shí)由于混合動(dòng)力系統(tǒng)本身的重量可以減少叉車的配重重量,因此混合動(dòng)力技術(shù)特別適用于叉車。Plug-in混合動(dòng)力叉車相對(duì)于傳統(tǒng)混合動(dòng)力叉車可以充分利用電網(wǎng)的電能,進(jìn)一步減少油耗和排放,同時(shí)促進(jìn)智能電網(wǎng)和分布式能源的發(fā)展。 本文以某型混合動(dòng)力叉車研發(fā)項(xiàng)目為背景,首先確定了Plug-in混合動(dòng)力叉車的結(jié)構(gòu)設(shè)計(jì)方案和主要參數(shù),在Matlab/simulink環(huán)境下建立Plug-in混合動(dòng)力叉車的前向仿真模型。該前向仿真模型包括發(fā)動(dòng)機(jī)、電池、電機(jī)、駕駛員、傳動(dòng)系統(tǒng)、整車動(dòng)力學(xué)、起升裝置等部件的模型。 然后,本文針對(duì)Plug-in混合動(dòng)力叉車特點(diǎn),制定了多模式分層邏輯規(guī)則控制策略和模糊邏輯控制策略,詳細(xì)地介紹了兩種控制策略的設(shè)計(jì)過(guò)程和軟件實(shí)現(xiàn)。在特定循環(huán)工況下對(duì)兩種控制策略進(jìn)行了仿真實(shí)驗(yàn)。結(jié)果表明,相對(duì)于傳統(tǒng)燃油叉車,多模式分層邏輯規(guī)則控制策略下的Plug-in混合動(dòng)力叉車有較好的節(jié)油效果,模糊邏輯控制策略節(jié)油效果更加明顯。兩種控制策略均能滿足動(dòng)力性和電池SOC的要求。本文進(jìn)行了樣車實(shí)驗(yàn),并將實(shí)驗(yàn)結(jié)果和仿真結(jié)果進(jìn)行了比較,結(jié)果表明前向仿真模型和控制策略是有效的。 最后,為進(jìn)一步提高Plug-in混合動(dòng)力叉車的節(jié)油效果,本文利用粒子群算法對(duì)模糊控制參數(shù)進(jìn)行了優(yōu)化,結(jié)果表明優(yōu)化后的模糊控制器燃油經(jīng)濟(jì)性有了進(jìn)一步的提高。
[Abstract]:As a kind of industrial vehicle, the use of hybrid power technology plays an important role in reducing fuel consumption and emissions. At the same time, because the weight of the hybrid power system can reduce the weight of the forklift, the hybrid power technology is especially suitable for the forklift. Plug-in hybrid forklift can make full use of the electric energy of the power grid compared with the traditional hybrid forklift. Further reduce fuel consumption and emissions, while promoting the development of smart grids and distributed energy. Based on the research and development project of a hybrid electric forklift truck, the structure design scheme and main parameters of Plug-in hybrid forklift truck are first determined, and the forward simulation model of Plug-in hybrid electric forklift truck is established under the Matlab/simulink environment. The forward simulation model includes engine, battery, motor, driver, transmission system, vehicle dynamics, hoist and other components. Then, according to the characteristics of Plug-in hybrid forklift, the multi-mode hierarchical logic rule control strategy and fuzzy logic control strategy are formulated, and the design process and software implementation of the two control strategies are introduced in detail. Two control strategies are simulated under specific cycle conditions. The results show that the Plug-in hybrid forklift with multi-mode layering logic rule control strategy has better fuel saving effect than the traditional fuel forklift truck, and the fuzzy-logic control strategy has more obvious fuel saving effect. Both control strategies can meet the requirements of power performance and battery SOC. The experimental results are compared with the simulation results in this paper. The results show that the forward simulation model and the control strategy are effective. Finally, in order to further improve the fuel saving effect of Plug-in hybrid forklift, this paper optimizes the fuzzy control parameters by using particle swarm optimization algorithm. The results show that the fuel economy of the optimized fuzzy controller has been further improved.
【學(xué)位授予單位】：合肥工業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TH242

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本文編號(hào)：1884520