| With the problems of environmental pollution and energy crisis becoming increasingly prominent,many countries have begun to study or already announced a deadline of producing and selling of traditional fuel vehicles.Therefore,it has become a worldwide consensus for sustainable development that accelerating the application and popularization of new energy vehicles represented by electric vehicles in various fields,especially in the field of logistics.However,due to the current technical conditions,electric vehicles have some features as follows: Firstly,compared with fuel vehicles,electric vehicles have shorter driving mileage,which causes a problem of " the anxiety of mileage ",and can’t complete a long-distance task without charging;secondly,compared with fuel vehicles,electric vehicles will take more time to charge;finally,there is a complex nonlinear relationship between the energy consumption of electric vehicles and many factors such as vehicle parameters,driving distance,vehicle load,driving conditions,external environment,etc.These features of electric vehicles mentioned above will influence the distribution scheme a lot,which must be considered while doing the electric vehicle pathing planning.This paper firstly analyzed and selected several main factors related to the energy consumption of electric vehicles.According to the common distribution circumstances in reality,this paper constructed two typical driving conditions of suburban and urban area,and then established a nonlinear electric energy consumption model considering the vehicle load,driving distance and driving conditions.Then with the theory of electric vehicle routing planning,a model of electric vehicle path planning based on the law of nonlinear electric energy consumption was established.After that,an adaptive particle swarm optimization algorithm was designed to solve the model.Furthermore,based on three examples of different scales,the optimal distribution schemes in the two cases of the model established in this paper and the traditional linear electric energy consumption law based electric vehicle path planning model were obtained,and then through the comparison and analysis between the optimal schemes,this paper explored the real condition of the optimal schemes which are calculated by the linear electric energy consumption coefficient,and discussed the applicability of the simplified method of linear electric energy consumption coefficient. |