Training method, device and computer equipment for automobile fuel consumption prediction model
A prediction model and automobile technology, applied in the training method of automobile fuel consumption prediction model, computer equipment, storage media, and device fields, can solve the problems of inability to use accurate prediction of fuel consumption, lack of in-depth analysis and application of fuel consumption data monitoring results, etc.
Active Publication Date: 2022-06-17
FAW JIEFANG AUTOMOTIVE CO
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However, in this way, there is a lack of in-depth analysis and application of the monitoring results of fuel consumption data, and it is impossible to accurately predict the fuel consumption of new cars.
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[0065] In order to make the objectives, technical solutions and advantages of the present application more clear, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application, but not to limit the present application.
[0066] Due to the increasingly strong demand for fuel economy of the whole vehicle, reducing fuel consumption will remain an important technical direction in the next few years. Improving fuel economy through the reserve of new methods and new technologies will be one of the core competencies of the future competitiveness of OEMs. At present, various manufacturers are still using the traditional vehicle calibration method to develop models. They cannot accurately predict the fuel consumption of the vehicle in the early stage of product development. They can only test the perform...
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The present application relates to a training method, device, computer equipment and storage medium of an automobile fuel consumption prediction model. The method includes: obtaining the driving parameters, fuel consumption parameters and vehicle parameters of multiple fuel vehicles corresponding to the target vehicle category; determining the first fuel consumption value of the standard distance of each fuel vehicle according to the driving parameters of each fuel vehicle; The first normal distribution state of the first fuel consumption value of the standard distance, the second fuel consumption value of the standard distance is screened out from the first fuel consumption value of the standard distance; the target fuel vehicle corresponding to the second fuel consumption value of each standard distance is determined; According to the target vehicle parameters of a target fuel vehicle, the corresponding fuel consumption parameter distribution class diagram is obtained. Each fuel consumption parameter distribution class diagram and the corresponding second fuel consumption value of the standard distance constitute a training sample; based on all training samples, the vehicle fuel consumption prediction model is carried out. Model training. This method can accurately predict the fuel consumption of the fuel vehicle to be predicted.
Description
technical field [0001] The present application relates to the technical field of automobile fuel consumption prediction, and in particular, to a training method, device, computer equipment and storage medium for an automobile fuel consumption prediction model. Background technique [0002] Commercial vehicles are an important pillar and supporting industry for national economic development. In 2019, the domestic production and sales of commercial vehicles exceeded 4 million. With the development of the commercial vehicle market, the consumption of fossil resources caused by fuel consumption has accelerated. At the same time, CO, NOx and HC Emissions of other pollutants have also increased. The state has also successively issued a large number of policies to promote energy conservation and emission reduction (such as: improving fuel cleanliness, reducing fuel consumption, reducing pollutant emissions, etc.), and various vehicle manufacturers have also launched various new ene...
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Login to View More IPC IPC(8): G06F30/27G06Q10/04G06N3/04G06N3/08
CPCG06F30/27G06Q10/04G06N3/04G06N3/08
Inventor 曾泽泉吴启昌白志刚袁晶郭亚昌徐忠宇李凌李鹏岳涛杨佳亮
Owner FAW JIEFANG AUTOMOTIVE CO