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Vehicle travel energy consumption prediction method and device

A prediction method and technology of prediction device, which are applied in prediction, road vehicle traffic control system, traffic flow detection and other directions, can solve the problem of inaccurate prediction of vehicle travel energy consumption, achieve high robustness and compatibility, and easy engineering Implement and predict the effect of accurate results

Active Publication Date: 2020-11-27
UNITED AUTOMOTIVE ELECTRONICS SYST
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide a vehicle trip energy consumption prediction method and device to solve the problem of inaccurate prediction of vehicle trip energy consumption using the prior art

Method used

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  • Vehicle travel energy consumption prediction method and device
  • Vehicle travel energy consumption prediction method and device
  • Vehicle travel energy consumption prediction method and device

Examples

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example 1

[0066] Example 1: If image 3 As shown, the vehicle controller VCU (including powertrain controller, body controller, etc.) collects data such as vehicle condition data, driving behavior data, and energy consumption data. Human-computer interaction components) provide environmental weather, road conditions, route traffic and other information, and upload them to the cloud platform through the wireless communication module. The cloud platform is responsible for data preprocessing, machine learning, data storage, driving behavior and energy consumption prediction functions, and feeds back the energy consumption prediction results to the HMI system terminal through the communication module for car owners to use.

example 2

[0067] Example 2: For a vehicle system equipped with XCU (domain controller) and cloud services, because the vehicle has locally deployed powerful computing resources, the energy consumption prediction model with high real-time computing requirements can be deployed locally on the XCU, which is suitable for cloud computing Deploy machine learning algorithms to cloud platforms, such as Figure 4 shown. Under this scheme, the HMI system and VCU directly transmit relevant data to the XCU, and upload the data to the cloud platform after completing the data preprocessing in the XCU; after the cloud platform completes the development of the machine learning model of the driving behavior prediction model and the energy consumption prediction The model is delivered and deployed to the XCU; based on the preprocessed input data, the XCU completes the acquisition of driving behavior and energy consumption prediction result data, and provides the relevant result data to the HMI system, VC...

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Abstract

The invention provides a vehicle travel energy consumption prediction method and device. The vehicle travel energy consumption prediction method comprises the steps that route condition data of a target vehicle and vehicle condition data, driving behavior data and energy consumption data corresponding to the route condition data are recycled; extracting and training the relationship between the driving behavior data and the route condition data to establish a driving behavior prediction model; extracting and training relationships between the energy consumption data and the vehicle condition data, the route condition data and the driving behavior data to establish an energy consumption prediction model; when a target driving route is selected; acquiring route condition data of the target driving route, the driving behavior prediction model is utilized to predict the vehicle owner driving behavior under the target driving route according to the route condition data of the target drivingroute, and then the energy consumption prediction model is utilized to predict the energy consumption under the target driving route according to the route condition data of the target driving routeand the predicted vehicle owner driving behavior. Therefore, the vehicle travel energy consumption can be accurately predicted, so that a user can reasonably plan the vehicle power mode.

Description

technical field [0001] The invention relates to the technical field of automobiles, in particular to a method and device for predicting energy consumption of a vehicle trip. Background technique [0002] With the continuous development of electric vehicle technology, pure electric vehicles or hybrid vehicles have gradually become the car purchase choice of many users, and their popularity is becoming wider and wider. [0003] Both pure electric vehicles and hybrid electric vehicles may work in pure electric power mode. The accurate prediction of battery energy consumption in this power mode has great significance for improving customer experience and engineering development: for pure electric vehicles, this function can be used to reduce mileage. Anxiety problem, when the power is insufficient, remind the owner to supplement the power in time; for hybrid vehicles, the vehicle power mode can be reasonably planned based on this function and navigation information, and when the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01G06N20/00G06Q10/04G06Q50/30
CPCG08G1/0125G08G1/01G06Q10/04G06N20/00G06Q50/40
Inventor 徐磊毛莎莎孟哲
Owner UNITED AUTOMOTIVE ELECTRONICS SYST
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