Method and device for predicting remaining mileage

Abstract

This application discloses a method and device for predicting remaining mileage. According to the historical operating condition data of the target vehicle in the first period of time, the predicted operating condition data in the second period of time in the future is predicted, and the future is predicted based on the predicted operating condition data. The energy consumption value per unit mileage of the target vehicle, so as to predict the remaining mileage of the target vehicle according to the energy consumption value per unit mileage and the energy state data in the historical operating condition data. Among them, since the predicted working condition data can accurately represent the working condition of the target vehicle in the second time period in the future, and the energy consumption per unit mileage can accurately represent the energy consumption of the target vehicle in the second time period in the future , so that the remaining mileage predicted based on the energy consumption value of the unit mileage is more accurate, thereby avoiding the mileage anxiety caused by the user who cannot determine the actual remaining mileage based on the predicted remaining mileage, and improving the user experience.

Description

technical field [0001] The present application relates to the technical field of vehicles, in particular to a remaining mileage prediction method and device. Background technique [0002] When driving a vehicle for travel, the user needs to pay attention to the parameters displayed on the dashboard in the car, especially the remaining mileage displayed on the dashboard. When the vehicle is a fuel vehicle, the remaining mileage refers to the mileage that the vehicle can travel continuously under the current remaining fuel; when the vehicle is an electric vehicle, the remaining mileage refers to the mileage that the vehicle can continuously travel under the current remaining power. [0003] In the prior art, the remaining mileage can usually be queried from the mapping relationship table between the remaining power (or remaining fuel) and the remaining mileage according to the current remaining power (or current remaining fuel), so as to predict the remaining mileage. [0004...

AI Technical Summary

Problems solved by technology

[0004] However, since the mapping relationship table between the remaining power (or remaining fuel) and the remaining mileage is constructed by the vehicle manufacturer based on the test data of the vehicle to be shipped, the mapping relationship between the remaining power (or remaining fuel) and the remaining mileage is more suitable It is used to predict the remaining mileage of the vehicle just leaving the factory, so that when the remaining mileage of the vehicle (for example, a vehicle that has been used for many years) is predicted by using the mapping relationship table between the remaining power (or remaining fuel) and the remaining mileage, the remaining mileage of the forecast The mileage is usually inaccurate, and the predicted remaining mileage is usually higher than the actual remaining mileage, which makes users feel mileage anxiety because they cannot determine the actual remaining mileage based on the predicted remaining mileage, which seriously affects the user experience.

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