Research On Multi-energy Vehicle Distribution With Detachable Demand Under Low Carbon Background

China’s carbon dioxide emissions have been increasing rapidly for more than a decade.It is urgent to control the increase of carbon emissions and accelerate the construction of ecological civilization.At present,the measures to reduce carbon emissions in China include the construction of a unified carbon emission trading market,the management of enterprises’ carbon emission allocation,the promotion of clean energy use,and the reduction of high-polluting sources.The low-carbon environmental protection concept advocated by the country is increasingly accepted by enterprises and people,and the transportation industry is also experiencing profound changes;Based on the requirements of environmental protection,the number of large displacement fuel vehicles in urban distribution is gradually reduced,and some small closed fuel vehicles with low carbon emissions and strong load constraints or pure electric vehicles are replaced.Compared with large displacement fuel vehicles,the car is sensitive to goods weight,volume,and less pure electric vehicle battery life,in order to solve low vehicle load factors,distribution needs some more strong,customer demand for product diversity and high carbon emissions,the problem such as high cost,for more realistic scene point,detachable meet the demand of customers,In this paper,carbon emissions,carbon trading mechanism,vehicle load changes and other factors are considered in the optimization of fuel vehicle route,and the impact of customer point goods can be split,combined and distributed according to the category on vehicle route and comprehensive distribution cost is studied.Based on the distribution problem of fuel vehicles,the influence of hybrid distribution of multi-energy vehicles on vehicle routing and comprehensive distribution cost is studied by further considering the driving range and charging of electric vehicles.The main contents of the paper are as follows:Firstly,the research content of energy saving and emission reduction and new-energy vehicle related policies and vehicle routing issues is analyzed,and the research progress at home and abroad is summarized and commented,and the research content and technical route are clarified.The paper analyzes the demand separable vehicle routing problem and its cost saving results and basic model.At the same time,the vehicle routing problem solving algorithm,the distribution characteristics of fuel vehicles and electric vehicles,the characteristics of carbon trading under the carbon trading mechanism,carbon quota and carbon emission measurement method are analyzed.Through the analysis,it is concluded that the separation and combination of customer demand in urban distribution has a space of environmental protection and cost reduction,and that the mixed distribution of fuel vehicles and electric vehicles has a strong practical significance.Secondly,a demand split fuel vehicle distribution model considering carbon emissions and carbon trading factors was constructed and solved,and the standard genetic algorithm was improved.Considering vehicle load,vehicle space,fuel consumption changes with load,unloading time,time window constraints,carbon emissions and other factors,a path optimization model was constructed to split and combine the delivery of goods required by customers according to categories,and an integer coding scheme and decoding steps were designed in line with the model in this chapter.Tabu search was introduced into standard genetic algorithm and improved genetic algorithm was used to solve the model.Then,the mixed distribution model of fuel vehicle and electric vehicle considering carbon emission and carbon trading is constructed and solved.In Chapter 4,the research content continues to extend on the basis of Chapter 3,studying the mixed distribution of fuel vehicles and electric vehicles.At the same time,considering the driving range and charging factors of electric vehicles,the double-layer coding scheme and decoding steps in line with the model of this chapter are designed,and the improved genetic algorithm of Chapter 3 is used to solve the problem.Finally,the case and the whole paper is analyzed and summarized.Based on the case analysis of a distribution enterprise in Beijing,the planning path and unloading scheme of fuel oil vehicle distribution,fuel oil vehicle and electric vehicle mixed distribution under the condition of customer point demand splitting are solved.Multiple groups of comparative experiments were set to verify the effectiveness of the model and the improved algorithm.Sensitivity analysis was designed to study the influence of parameters on the scheme,and reasonable suggestions were given based on sensitivity analysis.Summarize the work content of the whole paper and discuss the next research content and direction of the demand separation problem.