Research And Optimization Of Energy Management Control Strategy For Electric Drive Bulldozer

With the rapid development of China’s economy,construction machinery vehicles have played an increasingly important role in the development of urban infrastructure.At the same time,the problems brought about by environmental and energy issues have also become problems that need to be resolved.As an important equipment for national infrastructure construction,bulldozer is characterized by complex and changeable working conditions,generally poor site conditions,large fluctuations and high frequency in load with operating conditions,in addition,high technical requirements are needed for drivers.Low efficiency of production process,the larger emissions and complex system failure,these shortcomings cannot meet the demand of economic development,so the new energy-saving bulldozer is the development trend of future construction machinery.Electric drive is currently considered to be the most reliable energy-saving emission reduction technology applied to bulldozers as the best way to solve fuel economy.Targeting and rationalizing the control strategy for the special structure development and design of construction machinery are the key to improve the fuel economy of the bulldozer.The paper is based on the Shantui SD24 E crawler bulldozer.The MATLAB/simulink model of the electric drive bulldozer is developed and designed.With the aim of fuel economy of the bulldozer,the energy management strategy of the electric drive bulldozer is studied in depth.The main research contents of this article are as follows:(1)Through the analysis and research on electric drive tracked vehicles,The structure of the right for electric drive bulldozer is selected and the corresponding structural parameters are determined.According to the characteristics of the driving operation of the bulldozer,the working mode of the Electric drive bulldozer is analyzed.(2)Through modeling and analysis of electric drive vehicles,a backward modeling method is adopted.Through analysis,a method combining theoretical modeling and experimental data modeling is used and the engines,generators,super-capacitors,motors,and speed control strategies are based on the platform.The dynamic model and attachment model of the electric drive is established using a simplified method.(3)By analyzing the theoretical foundation of fuzzy control and the whole model of the Electric drive bulldozer,the controller model with fuzzy capacitance and total power demand as fuzzy inputs and engine target power as fuzzy output are determined.Through fuzzification and clear processing of input,output,and output parameters,the types of membership functions and the universe of discourse are determined,and a reasonable fuzzy rule base is formulated according to the whole cycle operating conditions.Finally,according to the characteristics of the fuzzy toolbox,the establishment of fuzzy logic is completed,and the fuzzy control energy management model is established in the simulink model.The final simulation analysis compares rule-based energy management strategies.(4)Because of the selection of the membership function and the design of the rule base in the fuzzy controller are relatively dependent on subjective experience and usually cannot achieve the optimal control,the genetic algorithm is used to further optimize the fuzzy controller to achieve the Better control of results.Through the determination of the constraint conditions and the design of the algorithm program of the objective function,the membership function of the fuzzy controller is optimized.By optimizing the discovery of the fuzzy control,the fuel economy of the vehicle is further improved,and the distribution of the operating point of the engine is further improved.rationalization.