| Traditional hydraulic excavator slewing system start and brake frequently, Usually traditional hydraulic excavator slewing system using mechanical brak-ing method, this not only caused a lot of waste of energy, but also a series of exhaust emissions polluted the environment.So the research on energy saving and emission reduction of excavator has great economic benefit and environm-ental benefit.Super capacitor energy storage system used in hybrid excavator driving system, which solves the excavator’s large energy consumption and the disadvantage of emissions. Comparing with other energy storage devices, the super capacitor has the advantages of fast charge and discharge,long cycle life and so on. Based on super capacitor energy storage in hybrid excavator slewing system can recycle the energy of the rotary motor, and improve the operation efficiency of the whole drive system.In this paper, the characteristics of high cost and large capacity configur-ation of the super capacitor in braking energy recovery system becomes more complicated. So in order to further improve the braking energy recovery syst-em of economy and energy recovery efficiency in hybrid excavator slewing system, It is very necessary to study the parameters optimization and the control strategy of the hybrid excavator based on the super capacitor. In this paper, the parameters optimization and control strategy of super capacitor energy storage system are studied.Firstly, this paper introduces the research status of the braking energy recovery in hybrid excavator slewing system.The existing problems and the key technologies of the braking energy recovery in hybrid excavator slewing system are summarized.Introducing the operating characteristics and expoudi-ng the working principle of hybrid excavator system. The overall design sch-eme of the braking energy recovery in the slewing hybrid excavator based on the super capacitor energy storage is determined.Then, the optimal capacity allocation based on genetic algorithm in the hybrid excavator system is studied.The equipment cost of the super capacitor energy storage system is used as the optimal target of the storage capacity. Using genetic algorithm to optimize the mathematics model that has been established and making simulation validation in the matlab model of the hybrid electric drive system in the final. The results show that the optimized model can improves the performance ratio of the hybrid excavator rotary drive system.In addition, The mathematical model of the braking energy recovery system in the slewing hybrid excavator is established and the controller of energy recovery system is designed.The control strategy of the energy recovery of the rotary system of the hybrid excavator is determined in the last.The optimized control strategy improves the recovery efficiency of the system.Finally, the experimental platform of the system is set up and the software designing and hardware designing in the slewing hybrid system were introduced. The control strategy of the rotary motor and the bidirect-ional DC/DC converter are analyzed in the experiment. The experimental results verify the validity and feasibility of the design. |
