A fuel-saving method for vehicle geographic environment mining perception

Abstract

The invention provides an oil saving method based on geographical environment mining and perceiving of a vehicle. The method comprises the following steps that (1) position data and travel data of a started vehicle are fused into a data frame, and the data frame is transmitted to a vehicle networking center; (2) the stored data frame is called and cleaned to obtain all uniform speed parts of the vehicle; (3) center data fusion is performed on the uniform speed parts to obtain gradient data of a road segment, and the gradient data of the road segment are transmitted to the vehicle networking center; (4) the vehicle networking center issues the gradient data to the moving vehicle according to the position data transmitted by the moving vehicle; (5) the moving vehicle calculates the distance D between GPS coordinates and the starting position of the front gradient E of the moving vehicle according to the returned gradient data and makes a decision according to the gradient E and the distance D. The oil saving method has the advantages that the accurate gradient data can be obtained, there is no need to specially do a lot of sampling work on a road, and no extra sensor needs installing. In this way, input cost is greatly lowered.

Description

technical field [0001] The invention relates to a vehicle geographical environment mining perception fuel-saving method. Background technique [0002] Improving the fuel economy of automobiles is an important direction for the development of modern automobile technology. In addition to factors such as load, shape structure, and transmission efficiency, the geographical environment also has a major impact on fuel economy. When the geographical environment of the road ahead can be detected in advance, we can start to control the vehicle's proper acceleration or engine turbo pressure at an appropriate position, thereby improving the fuel consumption performance of the vehicle when going overhill. Therefore, how to perceive the geographical environment where the vehicle is driving is a very important issue. [0003] Traditionally, sensors are mainly used for vehicle slope perception, such as inclination sensor (invention patent number: 201210076260.8), acceleration sensor (inve...

AI Technical Summary

Problems solved by technology

The disadvantage of the traditional method is: when the sensor measures the slope, the car is already on the slope, so the opportunity to adjust the power in advance is missed; if the slope information is measured in advance, and then the road slope information database is constructed, special measurement is required. vehicles, and each measurement vehicle needs to install additional sensor equipment, and each sensor also needs to deal with its own error, which greatly increases the input cost; if the GPS altimetry method is used, it is easy to be affected by satellite signals during the measurement process effects, especially in tunnel situations, tend to be completely unusable

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