Hybrid Vehicle Scheduling System Based On Fireworks Algorithm

At present,with the development of technology and policy inclination,new energy vehicles represented by electric vehicles are becoming increasingly popular.More and more logistics companies are introducing electric vehicles in their fleet configurations and collaborating with fuel vehicles to complete transportation tasks.Due to the significant differences between the two,traditional vehicle scheduling methods cannot adapt to mixed scenarios.The key to tram scheduling lies in the estimation of electricity consumption.Most of the existing research on electric vehicle scheduling problems is based on traditional vehicle energy consumption models,calculating a fixed rate of electricity consumption.But in practical use,the energy consumption speed of electric vehicles is non-linear.Therefore,calculating the hybrid vehicle scheduling problem at a fixed rate of electricity consumption may result in electric vehicles being unable to complete the established plan.Based on this,this article focuses on the calculation of electric vehicle power consumption speed in the hybrid vehicle scheduling model,and considers the power replenishment of electric vehicles.At the same time,the fireworks algorithm has been optimized to improve its solution quality.The results have been tested through simulation experiments,and the main tasks are as follows:(1)Researching the scheduling problem of hybrid vehicles,with a focus on investigating the relevant influencing factors of electricity consumption in the use of electric vehicles.Incorporating temperature and air conditioning usage factors into the calculation of electricity consumption,and combining traditional dynamic formulas to improve the electricity consumption model,the accuracy of electricity estimation has been improved.Set the objective function with the minimum total cost(including fixed,driving,charging,and other costs),and use the electricity consumption model as a constraint condition to work together with other constraints to establish the model.Finally,a practical hybrid vehicle scheduling model was constructed.(2)Improved fireworks algorithm.In response to the problem of easily falling into local optima in the fireworks algorithm,the mutation strategy and selection strategy have been optimized.At the same time,optimize the initial population and improve the quality of the initial solution to accelerate the convergence speed of the algorithm.The effectiveness of the improved fireworks algorithm was verified by comparing the solution results of different algorithms.(3)Developed a web-based scheduling system that integrates the above models.Enterprises can view and maintain relevant information data such as vehicles,drivers,and travel expenses in the system.And calculate the delivery task based on the customer’s order information.At the same time,the path planning results are visualized in a graphical format,making the relevant information clear at a glance and increasing the user friendliness of the system.It is very important for enterprises to use hybrid vehicles for urban logistics services in an economical,environmentally friendly,and scientific manner.This article takes the actual situation as the starting point,improves the energy consumption model of electric vehicles,and establishes a reasonable hybrid vehicle scheduling model.And improve the fireworks algorithm to improve its solving efficiency and accuracy,ensuring the rationality and superiority of the final calculated scheduling plan.At the same time,the developed logistics system has strong practical applicability and can provide certain assistance for the decision-making and operation of logistics enterprises,saving relevant manpower and material resources.Therefore,the research work of this article has certain practical significance.