A charging path navigation method in long-distance transportation of electric vehicles

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: 2022-07-12
HANGZHOU DIANZI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

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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  • A charging path navigation method in long-distance transportation of electric vehicles
  • A charging path navigation method in long-distance transportation of electric vehicles
  • A charging path navigation method in long-distance transportation of electric vehicles

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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 for finding the shortest path can ensure that the delivery of goods is completed in the shortest time. However, in reality, the price and cost of charging piles with different paths may be Different charging efficiency also affects the overall delivery time. First, it is necessary to collect different types 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 beginning of the delivery of goods, it is recorded as the initial node in the node set N={1,2,...,n}, and the...

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Abstract

The invention discloses a charging path navigation method in long-distance transportation of electric vehicles. Traditional path selection is just a simple shortest path search. The method of the present invention first determines two constraints, then collects the models of different charging piles, corresponding to different charging prices and charging efficiencies, and then considers the overall logistics and transportation cost, and selects the most cost-effective transportation route and charging strategy. Using the BellmanFord algorithm, iterating over each possible transportation path, adding the charging price and charging efficiency matrix W ij ∈{P 1 P 2 P 3 } and S ij ={M 1 M 2 M 3 }, find the most cost-effective path and charging strategy. The method of the invention inputs the rechargeable nodes in the transportation process when determining the vehicle for transporting logistics and the weight of the items for transporting logistics, and provides the logistics transport driver with the optimal driving path and charging intelligently under the condition of controlling the risk factor. The strategy takes into account the time factor of driving and the economic factor of the charging cost, and provides a cost-effective strategy.

Description

technical field [0001] The invention belongs to the technical field of traffic navigation, and relates to a charging path navigation method in long-distance transportation of electric vehicles. Background technique [0002] In a complex road system, electric vehicles on long-distance travel need to be charged in time to ensure that they are fully charged and travel to their destination. Electric vehicle users need to choose an appropriate route to drive in the traffic network, and decide to choose an appropriate 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, it may encounter scenarios such as road congestion, full charging piles, and wrong path decision-making. Therefore, it is necessary to study the key technologies of intelligent charging and navigation for electric vehicles. It is of great practical significance to help logistics vehicle users save trave...

Claims

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Application Information

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Patent Type & Authority Patents(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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