WO2019114759A1 - Method and device for assessing vehicle use condition of user - Google Patents

Method and device for assessing vehicle use condition of user Download PDF

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Publication number
WO2019114759A1
WO2019114759A1 PCT/CN2018/120639 CN2018120639W WO2019114759A1 WO 2019114759 A1 WO2019114759 A1 WO 2019114759A1 CN 2018120639 W CN2018120639 W CN 2018120639W WO 2019114759 A1 WO2019114759 A1 WO 2019114759A1
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WIPO (PCT)
Prior art keywords
vehicle
user
method
value
dimension
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PCT/CN2018/120639
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French (fr)
Chinese (zh)
Inventor
董易伟
刘阳
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蔚来汽车有限公司
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Priority to CN201711345294 priority Critical
Priority to CN201711345294.1 priority
Priority to CN201810168454.8A priority patent/CN109934953A/en
Priority to CN201810168454.8 priority
Application filed by 蔚来汽车有限公司 filed Critical 蔚来汽车有限公司
Publication of WO2019114759A1 publication Critical patent/WO2019114759A1/en

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    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C5/00Registering or indicating the working of vehicles
    • G07C5/08Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time

Abstract

A method and device for assessing vehicle use condition of a user and a computer storage medium for implementing the method. The method comprises the following steps of: determining the values of one or more dimensions of vehicle use condition of a user according to vehicle use history of the user; and obtaining an assessed value reflecting the vehicle use condition of the user on the basis of the values of one or more dimensions.

Description

Method and apparatus for assessing a user's use of a vehicle condition Technical field

The present invention relates to automotive electronics, and more particularly to a method, apparatus, and computer storage medium for evaluating a user's condition of using a vehicle.

Background technique

The invention of the car has greatly expanded the human activity space. In modern society, vehicles have become a necessity for daily life. They are not only vehicles but also close partners, and this trend is becoming more and more obvious with the rapid development of electric vehicles.

As an automobile manufacturer and service provider, it is always expected that the vehicle can be better protected by the user, the in-vehicle device can be more fully used by the user, and the user's vehicle use experience can be more perfect and wonderful. The implementation of the above various objectives depends on a precise understanding of the user's use of the vehicle. But so far, the industry has not recognized this. In view of this, it is highly desirable to provide a method and apparatus capable of accurately estimating the condition of a user using a vehicle.

Summary of the invention

It is an object of the present invention to provide a method for assessing a user's use of a vehicle condition that provides a precise understanding of the user's use of the vehicle's condition.

A method for evaluating a user's use of a vehicle condition in accordance with an aspect of the present invention includes the following steps:

Determining the value of one or more dimensions of the user's use of the vehicle condition based on the user's vehicle usage history;

The value based on the dimension is used to obtain an evaluation value reflecting the condition of the user using the vehicle.

Preferably, in the above method, the dimension comprises one or more of the following: health care, time of day, driving performance, familiarity and frequency of interaction.

Preferably, in the above method, the value of the health care dimension is determined based on a maintenance record, a maintenance record, and a fault record of the vehicle.

Preferably, in the above method, the value of the time dimension of the relationship is determined based on the total mileage of the vehicle, the daily mileage, and the number of times the vehicle is used per week.

Preferably, in the above method, the value of the driving performance dimension is determined based on a driving stability index and an energy consumption index of the vehicle within a unit driving range.

Preferably, in the above method, the value of the familiarity dimension is determined based on the frequency with which the user operates the in-vehicle device within the unit mileage.

Preferably, in the above method, the value of the interactive frequency dimension is determined based on the number of times the user wakes up the in-vehicle voice assistant within the unit mileage.

Preferably, in the above method, the evaluation value is a weighted sum of values of the respective dimensions.

Preferably, in the above method, the method further comprises the following steps:

Generating a vehicle usage recommendation associated with the user based on the evaluation value;

Provide the user with the generated vehicle usage recommendations.

Apparatus for evaluating a user's use of a vehicle condition in accordance with another aspect of the present invention includes a memory, a processor, and a computer program stored on the memory and executable on the processor, the program being executed to achieve the above The method described.

According to still another aspect of the present invention, a computer readable storage medium having stored thereon a computer program, wherein the program is executed by a processor to implement the method as described above.

According to the above various aspects of the present invention, by dividing the usage status into a plurality of dimensions, the user uses the history record of the vehicle to determine the values of the respective dimensions and summarizes the values, thereby obtaining an accurate evaluation of the usage status of the user's vehicle. Values, which provide users with targeted, valuable usage suggestions, improve the user experience, and reduce the cost of using the car.

DRAWINGS

The above and/or other aspects and advantages of the present invention will be more clearly understood and understood from The drawings include:

1 is a flow chart of a method for assessing a user's use of a vehicle condition, in accordance with one embodiment of the present invention.

2 is a schematic block diagram of an apparatus for evaluating a user's use of a vehicle condition in accordance with yet another embodiment of the present invention.

Detailed ways

The invention will now be described more fully hereinafter with reference to the accompanying drawings However, the invention may be embodied in different forms and should not be construed as limited to the various embodiments presented herein. The above-described embodiments are intended to be complete and complete to convey the scope of the present invention to those skilled in the art.

In the present specification, the terms "including" and "including" are used to mean that the present invention does not exclude the direct Or the case of other units and steps that are expressly stated.

1 is a flow chart of a method for assessing a user's use of a vehicle condition, in accordance with one embodiment of the present invention.

It should be noted that the following method of the present embodiment may be implemented by an in-vehicle device, by a remote computer system external to the vehicle, or by an in-vehicle device and a remote computer system. Illustratively, the manner in which the in-vehicle device is implemented is taken as an example here.

It should be noted that the in-vehicle device herein should be understood broadly as a computing device mounted or loaded on a vehicle, including but not limited to a central control system of the vehicle, a mobile phone, a tablet, and the like.

As shown in FIG. 1, at step 110, the in-vehicle device determines the dimensions that need to be taken in evaluating the user's vehicle usage status, each dimension actually characterizing a feature category of vehicle usage. These feature categories include, for example, but are not limited to, health care, time of day, driving performance, familiarity, and frequency of interaction. In the present embodiment, health care, time of day, driving performance, familiarity, and frequency of interaction are all taken as dimensions of vehicle use, but this is not required. In practical applications, one or more of the above-exemplified feature categories may be employed, and feature categories not exemplified herein may also be employed.

Then proceeding to step 120, the value of the dimension determined in step 110 is determined based on the user's vehicle usage history. It should be noted that each vehicle may be used by multiple users (for example, multiple members of a family use the same vehicle). Preferably, in the present embodiment, each user is assigned a separate account, each account having a corresponding vehicle usage history, and the steps described below are all performed for a single user or account.

When multiple dimensions are considered, the determination of these dimensions can be calculated in series or in parallel, and these various ways are within the spirit and scope of the invention. Illustratively, as shown in FIG. 1, step 120 includes a plurality of parallel branches, as will be described in detail below.

In step 121A, the in-vehicle device acquires a maintenance record, a maintenance record, and a failure record of the vehicle from a local storage device or a remote database.

Then, proceeding to step 122A, the in-vehicle device determines the value of the health care dimension based on the acquired record. Illustratively, the value of the health care dimension can be calculated based on the following table:

Table 1

Figure PCTCN2018120639-appb-000001

It should be noted that the scores given in Table 1 and the statistical period of vehicle failure are exemplary.

Step 130 will be entered after step 122A is performed.

In step 121B, the in-vehicle device acquires the total mileage of the vehicle, the daily mileage, and the number of times the vehicle is used per week from a local storage device or a remote database.

Then, proceeding to step 122B, the in-vehicle device determines the value of the time dimension of the phase according to the data acquired in step 121B. Usually, the higher the frequency of use of the vehicle, the higher the value. In addition, for long-distance travel, it is also conceivable to increase the value.

Illustratively, the value of the time dimension of the relationship can be calculated based on the following:

Total mileage: When the total mileage is less than 100km, the value increases by 0.05 for each additional 1km; when the total mileage is less than 1000km, the value increases by 0.05 for each additional 20km; for every 100km when the total mileage is greater than 1000km, The value is increased by 0.05.

Frequency of vehicles used per week: If there are 3 or more days of unused vehicles in a week, the value will be deducted by 0.1.

Daily mileage: If the mileage of the day is >300km, the value increases by 0.2.

It should be noted that the above calculation rules and the statistical period of vehicle usage frequency and mileage are merely exemplary.

Step 130 will be entered after step 122B is performed.

In step 121C, the in-vehicle device acquires data of the driving stability index and the energy consumption index of the user within the unit mileage from the local storage device or the remote database.

Then, proceeding to step 122C, the in-vehicle device determines the value of the driving performance dimension based on the data acquired in step 121C. Illustratively, the value of the driving performance dimension can be calculated based on the following manner:

V C = α 1 × P 1 + β 1 × P 2 (1)

Where, V C is the value of the driving performance dimension, P 1 is the driving performance score of the week, P 2 is the driving performance score of the previous week, and α 1 and β 1 are the weighting values of P 1 and P 2 , respectively.

Preferably, this week's driving performance score and last week's driving performance score are determined according to the following formula:

P i =0.5×(T i1 +T i2 ) (2)

T i1 =(1-N i /L i ×C)×10 (3)

T i2 = Ca × E i + Cb (4)

Among them, subscript i=1 or 2 to indicate the item of this week or last week, T i1 is the driving stability index of this week or last week, T i2 is the vehicle energy consumption index of this week or last week, L i is The mileage of the vehicle this week or last week, N i is the number of emergency and emergency decelerations of the vehicle within the mileage L i , E i is the power consumption of the unit mileage for this week or last week, C, Ca and Cb It is a constant and can be calibrated according to the actual application.

It should be noted that the statistical periods of the above calculation rules and driving performance points are merely exemplary.

Step 130 will be entered after step 122C is performed.

In step 121D, the in-vehicle device acquires the frequency data of the user operating the in-vehicle device within the unit mileage from the local storage device or the remote database.

Then, proceeding to step 122D, the in-vehicle device determines the value of the familiarity dimension based on the acquired frequency data. Illustratively, the value of the familiarity dimension can be calculated based on the following table:

Table 2

Figure PCTCN2018120639-appb-000002

It should be noted that the scores given in Table 2 and the statistical period of the frequency of operating the on-vehicle device are merely exemplary.

Step 130 will be entered after step 122D is performed.

In step 121E, the in-vehicle device acquires data of the number of times the user wakes up the in-vehicle voice assistant within the unit mileage from the local storage device or the remote database.

Then, proceeding to step 122E, the in-vehicle device determines the value of the interactive frequency dimension according to the data acquired in step 121E. Illustratively, the value of the interaction frequency dimension can be calculated based on the following:

W C2 ×Q 12 ×Q 2 (5)

Among them, W C is the value of the interactive frequency dimension, Q 1 is the interaction frequency of the week, Q 2 is the interaction frequency of last week, and α 2 and β 2 are the weight values of Q 1 and Q 2 respectively.

Preferably, the interaction frequency of this week and the frequency of interaction last week are determined according to the following formula:

Q i =T i /L i ×B (6)

Where subscript i=1 or 2 is used to indicate the item of this week or last week, L i is the mileage of the vehicle for this week or last week, and T i is the number of times the vehicle voice assistant is awakened within the driving distance L i , B is Constants can be calibrated according to the actual application.

It should be noted that the above statistical rules of calculation rules and interaction frequencies are merely exemplary.

Step 130 will proceed to after step 122E is performed.

At step 130, the in-vehicle device obtains an evaluation value reflecting the condition of the user using the vehicle based on the value of the dimension. Preferably, the on-vehicle device may determine the weighted sum of the values of the respective dimensions determined by the above steps as the evaluation value.

After step 130, preferably, the method flow illustrated in FIG. 1 proceeds to step 140, and the in-vehicle device determines an evaluation value based on step 130 to generate a vehicle usage recommendation associated with the user. For example, if the value of the health care dimension is less than a preset threshold, the in-vehicle device will generate a use suggestion that increases the frequency of vehicle maintenance; if the value of the time dimension of the relationship is less than a preset threshold, the in-vehicle device will generate an increase in vehicle use. Suggestion of rate; if the value of the driving performance dimension is less than a preset threshold, the in-vehicle device will generate a suggestion to improve driving habit; if the value of the interactive frequency dimension is less than a preset threshold, the in-vehicle device will generate an increased music APP or Advice on how many times the app is used. In this embodiment, for each user, a customized threshold can be set for it.

Next, proceeding to step 150, the in-vehicle device provides the generated vehicle usage suggestion to the user. Illustratively, for example, the display of the in-vehicle device can be used to display such things as maintenance of the vehicle, more use of the music app and the navigation app, and improved driving habits in one of video, picture, text or a combination thereof. Use the recommendations, or use the speakers of the in-vehicle device to play the corresponding vehicle usage suggestions to the user by voice or prompt tone. In addition, vehicle usage recommendations can also be presented to the user in both visual and audio ways.

2 is a schematic block diagram of an apparatus for evaluating a user's use of a vehicle condition in accordance with yet another embodiment of the present invention.

The apparatus 20 shown in FIG. 2 includes a memory 210, a processor 220, and a computer program 230 stored on the memory 210 and operable on the processor 220, wherein the executing computer program 230 can implement the above described with reference to FIG. A method of identifying a parking space.

According to another aspect of the present invention, there is also provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the method for identifying a parking space as described above with reference to FIG.

The embodiments and examples set forth herein are provided to best illustrate the embodiments of the present invention and the specific application thereof, and thereby enabling those skilled in the art to make and use the invention. However, those skilled in the art will appreciate that the above description and examples are provided for ease of illustration and illustration. The descriptions are not intended to cover the various aspects of the invention or to limit the invention to the precise forms disclosed.

In view of the above, the scope of the present disclosure is determined by the following claims.

Claims (12)

  1. A method for evaluating a user's use of a vehicle condition, comprising the steps of:
    Determining the value of one or more dimensions of the user's use of the vehicle condition based on the user's vehicle usage history;
    The value based on the dimension is used to obtain an evaluation value reflecting the condition of the user using the vehicle.
  2. The method of claim 1 wherein the dimension comprises one or more of the following: health care, time of day, driving performance, familiarity, and frequency of interaction.
  3. The method of claim 2 wherein the value of the health care dimension is determined based on a vehicle maintenance record, a maintenance record, and a fault record.
  4. The method of claim 2 wherein the value of the time dimension of the relationship is determined based on the total mileage of the vehicle, the daily mileage, and the number of vehicles used per week.
  5. The method of claim 2, wherein the value of the driving performance dimension is determined based on a driving stability index and an energy consumption indicator of the vehicle within a unit driving range.
  6. The method of claim 2, wherein the value of the familiarity dimension is determined based on a frequency at which the user operates the in-vehicle device within a unit mileage.
  7. The method of claim 2 wherein the value of the interactive frequency dimension is determined based on the number of times the user wakes up the in-vehicle voice assistant within a unit of driving mileage.
  8. The method of claim 2 wherein said evaluation value is a weighted sum of values for respective dimensions.
  9. The method of claim 1 further comprising the steps of:
    Generating a vehicle usage recommendation associated with the user based on the evaluation value;
    Provide the user with the generated vehicle usage recommendations.
  10. An apparatus for assessing a user's use of a vehicle condition, comprising a memory, a processor, and a computer program stored on the memory and operable on the processor, wherein the program is executed to implement the right The method of any of 1-8.
  11. The apparatus for evaluating a condition of a user using a vehicle according to claim 10, further comprising a display, wherein said program is executed to further implement the following steps:
    Generating a vehicle usage recommendation associated with the user based on the evaluation value;
    The generated vehicle usage suggestions are provided to the user using the display.
  12. A computer readable storage medium having stored thereon a computer program, wherein the program, when executed by a processor, implements the method of any of claims 1-9.
PCT/CN2018/120639 2017-12-15 2018-12-12 Method and device for assessing vehicle use condition of user WO2019114759A1 (en)

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CN201711345294 2017-12-15
CN201711345294.1 2017-12-15
CN201810168454.8A CN109934953A (en) 2017-12-15 2018-02-28 The method and apparatus for using vehicle condition for assessing user
CN201810168454.8 2018-02-28

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CN105389863A (en) * 2015-10-16 2016-03-09 江苏南亿迪纳数字科技发展有限公司 Method for calculating automobile condition by evaluating automobile condition indexes
US20160292937A1 (en) * 2013-11-08 2016-10-06 Gogoro Inc. Apparatus, method and article for providing vehicle event data

Patent Citations (8)

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Publication number Priority date Publication date Assignee Title
EP2354992A2 (en) * 2009-12-23 2011-08-10 Honeywell International Inc. Gateway data proxy for embedded health management systems
CN102044095A (en) * 2010-09-10 2011-05-04 深圳市航天星网通讯有限公司 Personal driving behaviour analysis management control system
CN102120441A (en) * 2011-01-13 2011-07-13 欧科佳(上海)汽车电子设备有限公司 Smart diagnosis system for passenger vehicles
CN104299289A (en) * 2013-07-17 2015-01-21 焦焱 Electric vehicle operation behavior evaluating and exciting system and electric vehicle operation behavior evaluating and exciting method
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