Plug-in混合动力叉车控制策略研究

发布时间：2018-05-13 19:37

本文选题：Plug-in混合动力叉车 + 控制策略　；参考：《合肥工业大学》2014年硕士论文

【摘要】：叉车作为一种使用量较大的工业车辆,使用混合动力技术对于减少油耗和排放有着重要的意义。同时由于混合动力系统本身的重量可以减少叉车的配重重量,因此混合动力技术特别适用于叉车。Plug-in混合动力叉车相对于传统混合动力叉车可以充分利用电网的电能,进一步减少油耗和排放,同时促进智能电网和分布式能源的发展。本文以某型混合动力叉车研发项目为背景,首先确定了Plug-in混合动力叉车的结构设计方案和主要参数,在Matlab/simulink环境下建立Plug-in混合动力叉车的前向仿真模型。该前向仿真模型包括发动机、电池、电机、驾驶员、传动系统、整车动力学、起升装置等部件的模型。然后,本文针对Plug-in混合动力叉车特点,制定了多模式分层逻辑规则控制策略和模糊逻辑控制策略,详细地介绍了两种控制策略的设计过程和软件实现。在特定循环工况下对两种控制策略进行了仿真实验。结果表明,相对于传统燃油叉车,多模式分层逻辑规则控制策略下的Plug-in混合动力叉车有较好的节油效果,模糊逻辑控制策略节油效果更加明显。两种控制策略均能满足动力性和电池SOC的要求。本文进行了样车实验,并将实验结果和仿真结果进行了比较,结果表明前向仿真模型和控制策略是有效的。最后,为进一步提高Plug-in混合动力叉车的节油效果,本文利用粒子群算法对模糊控制参数进行了优化,结果表明优化后的模糊控制器燃油经济性有了进一步的提高。
[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.
【学位授予单位】：合肥工业大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TH242

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