Big data-based intelligent auxiliary driving line planning method of new energy automobile

Abstract

The invention discloses a big data-based intelligent auxiliary driving line planning method of a new energy automobile. The big data-based intelligent auxiliary driving line planning method comprisesthe steps of dividing different working conditions according to territory, time, road information and air conditioner situation of vehicle driving, and setting different energy consumption value reference parameters for different working conditions; acquiring driving road condition information according to the planning line and big data so as to obtain kilometers or time comprising each working condition road segment of destination in the planning line; calculating electric quantity needed by the planning line and line power demand according to the kilometer or time; comparing the needed electric quantity and battery residual energy, and judging the set priority; and agreeing the planning line if a processing event is in priority or minimum power utilization quantity is in priority and when the battery residual energy is larger or equal to required electric quantity; planning the line according to the set priority if the battery residual energy is smaller than the required electric quantity, and planning a charging pile in the line. The forecasted driving route is more reasonable and accurate, and the optimal driving scheme can be obtained from several dimensions.

Description

technical field [0001] The invention belongs to the technical field of intelligent assistance for new energy vehicles, and in particular relates to a big data-based intelligent assistance driving route planning method for new energy vehicles. Background technique [0002] New energy vehicles (pure electric vehicles and hybrid electric vehicles) usually contain electric drive devices with fast dynamic response characteristics, so they are suitable for intelligent assisted driving and unmanned driving applications such as adaptive cruise, driving deviation correction and agile navigation. [0003] Although so-called intelligent navigation has also appeared in navigation, usually only when the originally planned route is seriously congested, the driver is notified to choose another route. Preventing congestion beforehand doesn't help. At present, new energy vehicles are often equipped with an algorithm for estimating the mileage of the remaining capacity of the battery, but th...

AI Technical Summary

Problems solved by technology

At present, new energy vehicles are often equipped with an algorithm to estimate the mileage of the remaining battery capacity, but the existing mileage prediction algorithms are calculated based on the average energy consumption value stored in the vehicle, which makes the predicted mileage often inaccurate

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