Method for monitoring instantaneous fuel consumption of automobile in intelligent network connection environment

Abstract

The invention discloses an automobile instantaneous fuel consumption monitoring method in an intelligent network connection environment. The method comprises steps that a normalized variable trigonometric function model is preset, and a fuel consumption rate is predicted, in the formula, v represents that the to-be-predicted fuel consumption rate corresponds to the speed of an automobile, a represents that the to-be-predicted fuel consumption rate corresponds to the acceleration of the automobile, and b represents that the to-be-predicted fuel consumption rate corresponds to the acceleration;wherein beta1, beta2, beta3 and beta4 are known parameters, vmin represents the minimum speed value in the actual measurement data sample set under all the comprehensive typical road working conditions, vmax represents the maximum speed value in the actual measurement data sample set under all the comprehensive typical road working conditions, am represents the minimum acceleration value in the actual measurement data sample set under all the comprehensive typical road working conditions, and amin represents the minimum acceleration value in the actual measurement data sample set; and amax represents the maximum speed value in the actual measurement data sample set under all comprehensive typical road working conditions. According to the method, transient fuel consumption under the Internet of Vehicles can be predicted only by using limited four parameters.

Description

technical field [0001] The invention relates to the technical field of intelligent transportation, in particular to a method for monitoring instantaneous fuel consumption of automobiles in an intelligent network connection environment. Background technique [0002] The development of intelligent networked vehicle technology is constantly changing the face of the traditional transportation system, and at the same time, it is expected that the performance of vehicles in terms of energy saving, safety, environmental protection and comfort will be comprehensively improved. In order to explore the optimal control method for economical driving of vehicles in the intelligent network environment, it is necessary to provide a simple, accurate and reliable fuel consumption model as input for the next step of research on energy-saving control and optimization methods. Therefore, automobile fuel consumption modeling technology is one of the difficulties and key points of automobile inte...

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Problems solved by technology

However, it is difficult to determine the theoretical expression and empirical fitting relational expression of the vehicle specific power changing with the driving conditions. In addition, there is no one-to-one correspondence between specific power and fuel consumption. Statistical distribution modeling of fuel consumption, taking the average value as the training sample of the model

This kind of fuel consumption model calculated by specific power can reflect the fuel consumption characteristics of vehicles in transient conditions to a certain extent, but its model complexity is still high, and specific power depends on factors such as vehicle models and road conditions. Therefore, the fuel consumption model established by this method It also cannot meet the model and optimization control requirements of energy-saving technology in the intelligent network environment

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