Electric vehicle charging path planning method, device and system

Abstract

The invention relates to an electric vehicle charging path planning method, device and system. The method comprises the steps of firstly generating an initial path, and collecting a plurality of path points on the initial path; inputting the travel characteristics into a power consumption model to obtain initial predicted unit mileage power consumption, and correcting the unit mileage power consumption according to power consumption correction information of the vehicle; executing a charging planning step after the residual electric quantity of each path point is obtained; then selecting a charging station by taking the first path point lower than a threshold value as a center, and then regenerating a path by taking the charging station as a starting point until charging is not needed; and finally, taking all the selected charging stations as passing points, and generating a final path. Compared with the prior art, the method has the advantages that the power consumption per unit mileage is corrected by combining the travel characteristics and the power consumption correction information corresponding to the vehicle, and a special charging station selection mode is combined, so that the charging path planning quality is improved, the charging frequency is reduced, and meanwhile the situation that the electric quantity is too low is avoided.

Description

technical field [0001] The invention relates to the field of electric vehicle navigation planning, in particular to a method, device and system for electric vehicle charging path planning. Background technique [0002] Today, the function of finding a charging station is provided in the vehicle entertainment system and navigation, and the software installed in the mobile phone or tablet computer can also fulfill the relevant function. When users use navigation, they can also obtain charging stations along the route. As for which charging station to choose, it is subjectively judged by the user. There are gaps in configuration, price, management and service among charging stations, and the user's choice of a suitable charging station directly affects the travel experience. [0003] In the existing technology, it is often to search for available charging stations near a specific point. This method has many defects, such as: where to charge is based on the user's subjective j...

AI Technical Summary

Problems solved by technology

There are gaps in configuration, price, management, and service among charging stations. The user's choice of a suitable charging station directly affects the travel experience

[0003] In the existing technology, it is often to search for available charging stations near a specific point. This method has many defects, such as: where to charge is based on the user's subjective judgment, and the user's subjective judgment may be wrong and miss the charging opportunity; When traveling, two or three charges are involved, and it is impossible to make the best choice from the overall situation

[0004] On this basis, there are some technologies that provide the planning of the charging path. Most of this planning revolves around the remaining mileage and the location of the charging station to generate the driving route. However, in the existing technology, the remaining mileage usually uses engineering The conditions, remaining power, and vehicle characteristics are determined without considering the individual characteristics of the vehicle and the characteristics of the road, which leads to inaccurate prediction of the power consumption of the vehicle, which is prone to low power or even exhausted power when driving according to the planned route, or charging The problem of too many times seriously affects the quality of charging path planning

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