Logistics electric vehicle energy-saving optimization method and system in cargo exchange mode
An electric vehicle and optimization method technology, applied in logistics, combustion engines, internal combustion piston engines, etc., can solve the problems of not considering various possible conditions of the urban road network, ignoring the exchange of goods between vehicles, and increasing distribution costs, so as to reduce distribution. The effect of mileage and empty load rate of trucks, reducing transportation time and cost, and reducing energy consumption
Active Publication Date: 2022-07-29
WUHAN UNIV OF TECH
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[0003] In the prior art, when the vehicle is carrying out logistics distribution according to the planned route, as the vehicle passes through more distribution points, the less heavy goods will be unloaded, and the vehicle must drive through all the planned distribution points according to the planned route. In the late process of vehicle distribution, there is a possibility that the vehicle is not fully loaded or even empty, and the vehicle is not fully loaded or empty, which leads to increased energy consumption and increased distribution costs
[0004] On the other hand, the existing research on Vehicle Route Planning (VRP, Vehicle Route Planning) problems is usually verified on the VRP example database, without considering various possible conditions of the actual urban road network, and ignoring the vehicle routing during transportation. Possibility of exchanging goods between
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[0062] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present invention.
[0063] The present invention provides an energy-saving optimization method and system for a logistics electric vehicle in a cargo exchange mode, which adopts an improved dynamic ant colony algorithm, combined with big data applications, and solves a basic path planning model to obtain an initial path planning result; and then introduces the concept of cargo exchange, The initial route planning results are optimized, and the dynamic vehicle scheduling optimization results of the low-carb...
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The invention discloses a logistics electric vehicle energy-saving optimization method and system in a cargo exchange mode. The method comprises the following steps: constructing a logistics vehicle path planning model considering energy consumption; solving the constructed logistics vehicle path planning model based on an improved ACO algorithm to obtain an initial path planning result; and in consideration of cargo exchange between vehicles, optimizing the initial path planning result by using an improved path optimization algorithm to obtain a path planning result in a cargo exchange mode. According to the invention, on the premise of considering cargo exchange between vehicles, energy-saving distribution of logistics electric vehicles is realized.
Description
technical field [0001] The invention relates to the technical field of logistics distribution path planning, in particular to logistics distribution path planning considering the exchange of goods between vehicles, in particular to a method and system for energy-saving optimization of logistics electric vehicles in a freight exchange mode. Background technique [0002] At present, the logistics industry is developing rapidly, the scale of logistics distribution is getting larger and larger, and the timeliness requirements are getting higher and higher. The problem of logistics vehicle routing optimization is extremely important. A reasonable vehicle routing scheme can save a lot of distribution costs for enterprises. [0003] In the prior art, when the vehicle performs logistics distribution according to the planned route, as the vehicle passes through more distribution points, the load of unloaded goods is less, and the vehicle must travel through all the planned distributio...
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IPC IPC(8): G06Q10/08G06Q10/04
CPCG06Q10/047G06Q10/083G06Q10/08355Y02T10/40
Inventor 陈志军刘姗栩邵逸宾柴世欣刘泓宇杨弼凱张学为刘洋朱兴盛鲁哲陈秋实张晶明
Owner WUHAN UNIV OF TECH