Time-varying road resistance information-considered electric car navigation method

Abstract

The invention discloses a time-varying road resistance information-considered electric car navigation method. The method comprises the steps of obtaining a residual electric quantity of an electric car, a full electric quantity of the electric car, a position where the electric car is located, a destination of the trip, fragile road sections of a road network, disturbance states of the fragile road sections and unit time-varying probability data of the disturbance states of the fragile road sections; determining a minimum charging cycle in the trip accordion to the residual electric quantity of the electric car and the position where the electric car is located; determining a range where potential charging stations are located accordion to the minimum charging cycle in the trip; calculating a time-varying road resistance information-considered road with the shortest time between the position where the electric car is located and the first charging station; calculating a roads with theshortest time between the departure and the destination of the trip so as to determine an electric car navigation path . According to the method, the potential of real-time dynamic information in theintelligent traffic systems can be sufficiently exploited, so that the congested road sections are effectively avoided; and the method is also suitable for the large-scale complicated road networks, so that powerful technical support is provided for the urban intelligent traffic management and path induction.

Description

Technical field [0001] The invention relates to the technical field of vehicle path planning and navigation, in particular to an electric vehicle navigation method considering time-varying road resistance information. Background technique [0002] In recent years, the development of electric vehicles has attracted international attention due to the consideration of sustainable energy development and curbing climate change. Traditional internal combustion engine vehicles use fossil energy as an energy source and emit about 20% of the world's greenhouse gases, which is one of the main factors causing fossil energy depletion and global warming. Electric vehicles that use electricity converted from sustainable energy-solar energy or nuclear energy as an energy source can achieve zero emissions during driving, and are more in line with sustainable energy development and environmentally friendly ecological needs than internal combustion engine vehicles. Not only that, electric vehicle...

AI Technical Summary

Problems solved by technology

[0004] The traditional electric vehicle navigation method does not give the selection method of the charging station from the global path, and does not consider the dynamic traffic information, so the navigation scheme obtained may not be the optimal path in practical applications

However, in models considering dynamic information, it is very easy to encounter the curse of dimensionality.

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