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混动叉车势能与制动能量联合回收系统设计及AMESim-Simulink仿真分析

Design and AMESim-Simulink Simulation Analysis of Potential Energy and Braking Energy Combined Recovery System for Hybrid Forklift
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摘要 针对混动叉车频繁升降及起停制动造成能量损耗严重等问题,聚焦混动叉车势能回收与行车时双动力能源分配控制策略能效提升的关键技术,进行了混动叉车势能与制动能量联合回收系统设计。在传统混动叉车并联式混动系统基础上改进优化,运用前向建模思想搭建仿真模型。为实现精准控制液压缸位移,提出了一种模糊PID自适应控制系统;为优化混动叉车在行车时发动机和驱动电机的工作效率并进行制动能量回收,基于发动机最优工作曲线提出一种制动能量回收控制策略。最后基于JB/T 11988—2014制定多种工况,运用AMESim和Simulink进行多种工况下仿真对比试验,验证该方法有效性,实现能量回收效率提升,势能与制动能量联合回收效率最高可达56.86%。 Aimed at the serious energy losses caused by frequent lifting and start-stop braking of hybrid forklift,a combined recovery system of hybrid forklift potential energy and braking energy was designed,focusing on the key technologies of potential energy recovery of hybrid forklift and energy efficiency improvement of dual-power energy distribution control strategy.On the basis of improving and optimizing the original parallel hybrid system of traditional hybrid forklift,the simulation model is built by using forward modeling idea.In order to control the displacement of hydraulic cylinder accurately,a fuzzy PID adaptive control system is proposed.In order to optimize the working efficiency of engine and drive motor of hybrid forklift during driving and to recover braking energy,a control strategy of braking energy recovery based on the optimal working curve of engine is proposed.Finally,based on the JB/T 11988—2014,a variety of working conditions are formulated,and AMESim and Simulink are used to carry out simulation and comparative tests under various working conditions,which verifies the effectiveness of the proposed method and improves the energy recovery efficiency,and the combined recovery efficiency of potential energy and braking energy can reach up to 56.86%.
作者 刘理想 祝俊 张立杰 王博 LIU Lixiang;ZHU Jun;ZHANG Lijie;WANG Bo(School of Mechanical Engineering,Jiangsu University,Zhenjiang,Jiangsu 212013)
出处 《液压与气动》 北大核心 2024年第9期179-188,共10页 Chinese Hydraulics & Pneumatics
关键词 混动叉车 势能回收 制动能量回收 模糊控制 PID AMESim-Simulink仿真 hybrid forklift potential energy recovery braking energy recovery fuzzy control PID AMESim-Simulink simulation
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