Method and device for predicting fuel consumption of vehicle

Abstract

The invention provides a method and system for predicting fuel consumption of a vehicle, and the method comprises the steps: obtaining data collected by various sensors, wherein the data comprise a strain sensor signal, an inertial sensor signal and a position signal; generating comprehensive road information according to the data acquired by the various sensors; determining environment information according to the comprehensive road information, and selecting a corresponding elastic network regression model from an elastic network regression model set according to the environment information; inputting the data acquired by the various sensors into an auto-encoder, and extracting feature information; and inputting the feature information into the elastic network regression model to obtain predicted fuel consumption.

Description

technical field [0001] The present disclosure relates to the technical field of transportation, and in particular to a method, device, system, electronic equipment, and computer-readable storage medium for predicting vehicle fuel consumption. Background technique [0002] As we all know, road transport consumes a lot of energy, transport costs are high, and there are inevitably exhaust emissions, causing environmental pollution. In addition to the problem of environmental pollution, it is difficult to control the operating cost of logistics vehicles in my country's logistics industry at this stage. Among them, the fuel consumption of trucks accounts for a large proportion, resulting in high fuel costs and low operating profits of enterprises. [0003] Therefore, there is an urgent need for a method for predicting vehicle fuel consumption, so as to accurately predict vehicle fuel consumption, reasonably plan routes with low fuel consumption, and reduce costs. Contents of th...

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Problems solved by technology

[0004] In view of this, the purpose of the embodiments of the present disclosure is to provide a method for predicting vehicle fuel consumption, which can accurately predict the short-term fuel consumption of trucks in real time and automatically, greatly improves the accuracy of fuel consumption prediction, and solves the problem of fuel consumption prediction results in the prior art. low accuracy problem

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