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Hybrid Power-train System Design and Research on Control Strategy for Forklift

Author: QiangWeiBo
Tutor: ZhaoHongQiang
School: Central South University
Course: Mechanical Engineering
Keywords: forklift hybrid system energy recovery parameters matching control strategy
CLC: TH242
Type: Master's thesis
Year: 2013
Downloads: 17
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Abstract


In recent years, with the prosperity and development of the forklift truck market, Forklift truck faces pressure of energy saving and emission reduction which has been a serious problem. Hybrid technology can realize the diversification of energy flow, has the advantages of low emissions and low energy consumption, So using the hybrid system for forklift has great significance in energy conservation and emission reduction. Aim to study on hybrid forklift, the main research contents of this thesis are as follows:A hybrid system structure based on the analysis of the existing power coupling device and energy recovery system is established, and it is suitable for the feature of the forklift work condition. According to the design of the hybrid system structure and the characteristics of the working condition of forklift. Aim to meet the demand of the forklift work power, the main parts of hybrid forklift system:engine, ISG motor, traveling motor, ultra capacitor,which were selected and the parameters were designedThe forklift hybrid system mathematical model is established, and the forklift hybrid system simulation model is establish based on the software of AMESim.The effectiveness and feasibility of the proposed hybrid forklift system are proved by the simulation. The control strategy is proposed based on the structure of the hybrid forklift system. The simulation results show that the control strategy can reduce the fuel consumption of20.8%effectively.To optimize the forklift hybrid system further, a parameter a Parameter matching method, which is based on genetic algorithm uses efficiency of Power system as optimal target functions and uses driving desire of load and Minimum machine Power as restraint condition functions, is proposed to optimize the hybrid system in forklift. According to the structure, working condition and control strategy of the hybrid system, this method, which is based on genetic algorithm and satisfies optimization target functions and constraint condition functions, is developed. The parameters of the main components, such as engine, ISG motor, traveling motor, ultra capacitor of the Power system were matched using this method. And the results are analysised on the simulation model.At last, some experiences is adapted in order to gain some data which is required in the simulation. Experimental prototype data and simulation data are analyzed contrastively, which verify the correctness of the simulation model. Experimental study on forklift energy recovery system, the energy loss and the energy recovery efficiency is analyzed, the results show that, energy recovery efficiency of energy recovery system is34.6%in the test cycle, accounting for16.08%of the energy needed to the whole forklift test cycle, which is a main factors to improve the fuel economy of hybrid forklift.Through the above research work, compared with the traditional forklift,The hybrid forklift has significant energy-saving effect, which is provided theoretical guidance and reference for the development of hybrid forklift prototype.

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CLC: > Industrial Technology > Machinery and Instrument Industry > Lifting machinery and transport machinery > Loading and unloading machinery > Automatic loading and unloading of vehicles
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