Method and device for predicting remaining range
A prediction method and mileage technology, applied in the field of vehicles, can solve the problems of determining mileage, anxiety, inaccuracy, etc., to avoid mileage anxiety, accurate remaining mileage, and improve user experience.
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Embodiment 1
[0058] see figure 1 , which is a flow chart of the remaining mileage prediction method provided by the method embodiment of the present application.
[0059] The remaining mileage prediction method provided in the embodiment of the present application includes steps S11-S14:
[0060] S11: Obtain historical operating condition data of the target vehicle within the first time period.
[0061] S12: According to the historical working condition data, predict the predicted working condition data in the second time period in the future.
[0062] S13: Predict the energy consumption value per unit mileage of the future target vehicle according to the predicted working condition data.
[0063] S14: Predict the remaining mileage of the target vehicle according to the energy consumption value per unit mileage and the energy state data.
[0064] The above are the specific execution steps of the remaining mileage prediction method provided by the first embodiment of the method of the pr...
Embodiment approach
[0091] In addition, in order to improve the forecasting efficiency of the predicted working condition data, a large amount of historical working condition data in the first time period can be statistically analyzed, so that the working condition data prediction model only needs to make predictions based on a small number of statistical parameters. In this way, the present application also provides a second implementation of step S12. In this implementation, S12 may specifically include steps S121-S122:
[0092] S121: Perform statistical analysis on the historical working condition data, and obtain statistical parameters of the historical working condition data.
[0093] The present application does not limit the statistical analysis method, and may be any existing or future statistical analysis method capable of performing statistical analysis on historical working condition data.
[0094] Statistical parameters of historical working condition data refer to parameters that can...
Embodiment 3
[0130] S13B2: Obtain the predicted energy state data according to the statistical parameters of the predicted energy state data.
[0131] S13B3: Predict the energy consumption value per unit mileage of the future target vehicle according to the predicted driving mileage and predicted energy state data.
[0132] The specific implementation manner of step S13B3 is the same as the specific implementation manner of step S13A2, and for the sake of brevity, details are not repeated here.
[0133] The above is the specific implementation manner of step S13.
[0134] The specific implementation manner of step S14 is introduced below.
[0135] In step S14, since the energy state data can represent the energy state of the target vehicle at the current time, and the energy consumption value per unit mileage can represent the energy consumed by the target vehicle within the unit mileage after the current time, therefore, it can be Predict the remaining mileage of the target vehicle acco...
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