Unlock instant, AI-driven research and patent intelligence for your innovation.

A method for predicting energy consumption during future driving based on the GRU network model

A technology of network model and driving process, which is applied in the field of transportation, can solve the problems of improving the prediction accuracy of batteries, and achieve the effect of improving prediction accuracy, reducing errors, and improving self-confidence

Active Publication Date: 2021-01-05
NANTONG UNIVERSITY
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Aiming at the problem that the above-mentioned prior art can only predict the state of charge of the battery from the improvement of the model and cannot improve the prediction accuracy from the actual situation, the present invention proposes a method for predicting energy consumption in the future driving process by a GRU network model

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A method for predicting energy consumption during future driving based on the GRU network model
  • A method for predicting energy consumption during future driving based on the GRU network model
  • A method for predicting energy consumption during future driving based on the GRU network model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0045] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention.

[0046] refer to figure 1 , in an embodiment of the present invention, a method for predicting energy consumption during future driving by a GRU network model is provided, and the method specifically includes the following steps:

[0047]Step 1) Referring to the electric vehicle upload data specification of GB / T 32960 "Technical Specifications for Electric Vehicle Remote Service and Management System", select the electric passenger vehicle with the license plate number "Lu FAZ055" from April 16, 2019 to May 2019 Data between the 16th. The sampling data has a total of 159,788 pieces of data, including 192 features. Select effective features, including license plate number, me...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a method for predicting energy consumption in the future driving process based on a GRU network model. Variables that have a strong correlation with battery energy consumption changes in the driving process of an electric vehicle are input into the GRU network, and the weight of the input time series data is calculated. and bias, by continuously adjusting the parameter values ​​of the model, the optimal model parameters are saved; the training results of the GRU network are obtained based on the weight and bias calculation; the test samples are input into the driving condition driving SOC prediction model, and the prediction results are output; Training can accurately predict the change of battery energy consumption value during the future driving of electric vehicles. The present invention has a small error in predicting battery energy consumption during the future driving of the electric vehicle, and effectively improves the prediction accuracy. By accurately predicting the energy consumption value, the cruising range of electric vehicles under future driving conditions can be accurately estimated, thereby helping electric vehicle drivers build confidence in driving range.

Description

technical field [0001] The invention belongs to the technical field of transportation, and is mainly applied to a method for estimating the cruising range of an electric vehicle by predicting the energy consumption of future driving conditions, and specifically relates to a method for predicting the energy consumption of the future driving process based on a GRU network model. Background technique [0002] Electric vehicles use electric energy as the power source. Electric energy has the characteristics of high efficiency, fast, wide sources, clean and pollution-free, making electric vehicles the latest trend in the development of the automotive industry. Since the energy of an electric vehicle is only provided by the battery, and the energy of the battery is not sufficient, it is easy for the driver to have mileage anxiety problems during the driving process of the vehicle, that is, the mental pain or anxiety caused by the fear of sudden power loss when driving an electric v...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): B60W40/00B60L3/12G06K9/62G06N3/04G06N3/08
CPCB60W40/00B60L3/12G06N3/08B60W2510/244B60W2530/18B60W2520/10B60W2520/00G06N3/045G06F18/23
Inventor 施佺周唯昶徐慧邵叶秦曹阳荆彬彬
Owner NANTONG UNIVERSITY