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Vehicle energy consumption influence analysis method based on naive Bayesian model

A technology of Bayesian model and impact analysis, applied in the direction based on specific mathematical models, calculation models, instruments, etc.

Inactive Publication Date: 2020-01-14
CHANGAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] Aiming at the problem of determining the main factors affecting fuel consumption, the purpose of the present invention is to propose a method for analyzing the impact of vehicle energy consumption based on the naive Bayesian model

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  • Vehicle energy consumption influence analysis method based on naive Bayesian model
  • Vehicle energy consumption influence analysis method based on naive Bayesian model
  • Vehicle energy consumption influence analysis method based on naive Bayesian model

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Embodiment 1

[0101] Step 1: Data Collection

[0102] The original data of the present invention is heavy-duty commercial vehicle data (other types of vehicle data are also applicable), including original GPS data, vehicle engine data, vehicle attribute data, vehicle gear speed ratio data, vehicle driving behavior data and vehicle neutral sliding data;

[0103] In step 1, the data is real heavy-duty truck driving data obtained through the smart vehicle-mounted GPS sensor (other vehicle data is also applicable).

[0104] The original data used in the present invention is the Tianxingjian heavy truck data set, and the data of 234 heavy trucks with complete information in April 2018 are analyzed. The original data includes the following Table 3, Table 4, Table 5, Table 6, Table 7, Table 8 shows. The original GPS data in Table 3 and the engine data in Table 4 are stored in text files, each line shows a record data, the file names are vehicle ID_YYYYMMDD_GPS and vehicle ID_YYYYMMDD_SPEED, each ...

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Abstract

A vehicle energy consumption influence analysis method based on a naive Bayesian model comprises the steps that vehicle driving data are processed and then calculated to obtain vehicle data information; performing multi-dimensional analysis on the vehicle data information through online analysis processing to obtain two-dimensional views of vehicle factors and fuel consumption, and screening to obtain factors influencing the fuel consumption by judging whether various vehicle factors are associated with the two-dimensional views of the fuel consumption or not; carrying out discretization processing on the screened factors influencing the oil consumption, then dividing the factors into a plurality of subclasses, calculating estimation probabilities of the various factors influencing the oilconsumption through a naive Bayesian model, and determining information having the maximum influence on the oil consumption. According to the invention, an online analysis processing system is adopted for data analysis, whether each factor is associated with oil consumption and factors associated with the oil consumption are analyzed, and main fuel-saving influence factors are determined by usingdata mining, so that the driving habit and style of a driver are determined, driving suggestions are given, and the purpose of energy-saving driving is achieved.

Description

technical field [0001] The invention belongs to the field of ecological driving, and in particular relates to a method for analyzing the influence of vehicle energy consumption based on a naive Bayesian model. Background technique [0002] Evaluating the driver's performance and promoting energy-saving driving has always been a hot spot in the field of energy-saving driving research. In an environment with certain characteristics of traffic conditions, travel, and load, the driver controls the vehicle's speed, acceleration, braking, engine speed, clutch, etc. and driving directions. Different driving styles lead to different levels of fuel consumption, which affects driving efficiency. [0003] The method based on data mining and the method of objectively evaluating energy-saving driving have received a lot of attention. In the study of energy-saving driving, the main problem is how to accurately determine the factors that affect the fuel consumption of vehicles, and how t...

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Application Information

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IPC IPC(8): G06N7/00G06Q10/06
CPCG06Q10/06393G06N7/01
Inventor 行本贝唐蕾段宗涛马骏驰贾景池李闯
Owner CHANGAN UNIV
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