| As the country attaches importance to the logistics industry,the logistics industry has developed rapidly.As the main force of logistics handling equipment,the demand for forklifts is increasing year by year.Electric forklifts are widely used because of their easy operation,no pollution and low noise.During the working process of the electric forklift,the working device is frequently raised and lowered.If the potential energy of the heavy object during the descending process is not effectively recycled,it will be lost in the form of heat,which will not only cause energy waste,but also cause heating and wear of hydraulic components Speed up and other issues.Based on this,this paper takes a certain type of 2T electric forklift as the research object,designs a dual energy source potential energy recovery scheme based on batteries and supercapacitors,and studies energy management strategies based on this scheme.The main tasks completed are as follows:According to the working conditions of electric forklifts,the characteristics of different energy storage devices are analyzed,and dual energy sources are determined as potential energy recovery energy storage devices.The topology of the dual energy source system is analyzed,combined with cost and controllability,and the capacitor-controlled topology is determined.On this basis,the electric forklift potential energy recovery system plan was formulated,and the key components of the electric forklift lifting system and the parameter matching of the dual energy source system were carried out according to the requirements of the working conditions.Aiming at the proposed dual energy source potential energy recovery system scheme,energy management strategies based on fuzzy control and instantaneous optimization are proposed.The simulation model of the energy management system is established,and two energy management strategies are studied respectively.The results show that the potential energy recovery efficiency of the two energy management strategies can reach more than 50%;Compared with the fuzzy control energy management strategy,the energy management strategy based on instantaneous optimization improves the potential energy recovery rate by 3.4% and delays the battery capacity decline by 28.6%.Based on these two considerations,the instantaneous optimization energy management strategy is better than the fuzzy control energy management strategy. |