Charging path navigation method in long-distance transportation of electric automobile

A technology of electric vehicles and charging paths, applied in the field of traffic navigation, to achieve the effect of saving driving costs, reducing economic costs, and reducing transportation time

Active Publication Date: 2020-01-14
HANGZHOU DIANZI UNIV
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  • Claims
  • Application Information

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Problems solved by technology

[0005] The traditional path selection is just a simple shortest path search, but considering that EV users need to find a suitable charging pile to charge and reach the destination before the power is exhausted

Method used

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  • Charging path navigation method in long-distance transportation of electric automobile
  • Charging path navigation method in long-distance transportation of electric automobile
  • Charging path navigation method in long-distance transportation of electric automobile

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Embodiment Construction

[0023] In long-distance logistics transportation, due to the limitation of battery capacity, electric vehicles need to be charged in time to ensure normal transportation, and they need to be charged at a suitable location. For logistics transportation, the transportation cost of logistics is the main consideration, and the algorithm of finding the shortest path can ensure that the delivery of goods is completed in the shortest time, but in reality, there may be charging piles with different paths. The difference in charging efficiency also affects the overall delivery time. Firstly, it is necessary to gather different models of charging piles, corresponding to different charging prices and charging efficiencies, and then consider the overall logistics and transportation costs to select the most cost-effective transportation route and charging strategy. At the starting end of the delivery of goods, it is recorded as the initial node in the node set N={1,2,…,n}, and the BellmanFo...

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Abstract

The invention discloses a charging path navigation method in long-distance transportation of an electric automobile. Traditional path selection is only simple shortest path search. The method comprises: firstly, determining two constraint conditions, then collecting the models of different charging piles, and corresponding to different charging prices and charging efficiencies, considering the overall logistics transportation cost, and selecting a transportation path and a charging strategy with the highest cost performance; using a BellmanFord algorithm, iterating all possible transportationpaths, adding a charging price and charging efficiency matrix Wij belongs to {P1 P2 P3} and Sij = {M1 M2 M3}, and finding a path and a charging strategy with the highest cost performance. According tothe method, when a vehicle for transporting logistics is determined, and when the weight of the logistics goods is transported, the rechargeable nodes in the transportation process are input, under the condition that the danger coefficient is regulated and controlled, the optimal driving path and charging strategy are intelligently provided for a logistics transportation driver, the driving timefactor and the consumed charging economic factor are both considered, and the strategy with the high cost performance is provided.

Description

technical field [0001] The invention belongs to the technical field of traffic navigation, and relates to a charging path navigation method in the long-distance transportation of electric vehicles. Background technique [0002] In a complex road system, electric vehicles on long-distance driving need to be charged in good time to ensure that they are fully charged and travel to their destinations. Electric vehicle users need to choose a suitable route in the traffic network and decide to choose a suitable charging pile for charging. Because it is a long-distance logistics transportation, there is a problem of long-term driving. Considering the complex road conditions, you may encounter scenarios such as road congestion, charging piles are full, and route decision-making errors. Therefore, it is very necessary to study key technologies for smart charging and navigation of electric vehicles. It is of great practical significance to help logistics vehicle users save driving ti...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/08G06F16/9537G06Q50/06
CPCG06Q10/047G06Q10/083G06F16/9537G06Q50/06Y02T90/16
Inventor 姜显扬徐磊占家豪冯维
Owner HANGZHOU DIANZI UNIV
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