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WO2019114759A1 - Procédé et dispositif d'évaluation d'état d'utilisation d'un véhicule d'un utilisateur - Google Patents

Procédé et dispositif d'évaluation d'état d'utilisation d'un véhicule d'un utilisateur 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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WO
WIPO (PCT)
Prior art keywords
vehicle
user
value
dimension
condition
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/CN2018/120639
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English (en)
Chinese (zh)
Inventor
董易伟
刘阳
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
NIO Nextev Ltd
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NIO Nextev Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority claimed from CN201810168454.8A external-priority patent/CN109934953A/zh
Application filed by NIO Nextev Ltd filed Critical NIO Nextev Ltd
Priority to EP18889196.4A priority Critical patent/EP3726483A4/fr
Publication of WO2019114759A1 publication Critical patent/WO2019114759A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME 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
    • G07C5/00—Registering or indicating the working of vehicles
    • G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time

Definitions

  • 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.
  • the invention of the car has greatly expanded the human activity space.
  • 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.
  • 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:
  • the value based on the dimension is used to obtain an evaluation value reflecting the condition of the user using the vehicle.
  • the dimension comprises one or more of the following: health care, time of day, driving performance, familiarity and frequency of interaction.
  • the value of the health care dimension is determined based on a maintenance record, a maintenance record, and a fault record of the vehicle.
  • 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.
  • 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.
  • 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.
  • 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.
  • the evaluation value is a weighted sum of values of the respective dimensions.
  • the method further comprises the following steps:
  • 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.
  • 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.
  • 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.
  • FIG. 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.
  • FIG. 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.
  • FIG. 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.
  • 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.
  • the manner in which the in-vehicle device is implemented is taken as an example here.
  • 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.
  • 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.
  • feature categories include, for example, but are not limited to, health care, time of day, driving performance, familiarity, and frequency of interaction.
  • 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.
  • one or more of the above-exemplified feature categories may be employed, and feature categories not exemplified herein may also be employed.
  • each vehicle may be used by multiple users (for example, multiple members of a family use the same vehicle).
  • 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.
  • step 120 includes a plurality of parallel branches, as will be described in detail below.
  • 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.
  • the in-vehicle device determines the value of the health care dimension based on the acquired record.
  • the value of the health care dimension can be calculated based on the following table:
  • Step 130 will be entered after step 122A is performed.
  • 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.
  • the in-vehicle device determines the value of the time dimension of the phase according to the data acquired in step 121B.
  • the higher the frequency of use of the vehicle the higher the value.
  • 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.
  • Step 130 will be entered after step 122B is performed.
  • 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.
  • the in-vehicle device determines the value of the driving performance dimension based on the data acquired in step 121C.
  • the value of the driving performance dimension can be calculated based on the following manner:
  • V C ⁇ 1 ⁇ P 1 + ⁇ 1 ⁇ P 2 (1)
  • 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
  • ⁇ 1 and ⁇ 1 are the weighting values of P 1 and P 2 , respectively.
  • this week's driving performance score and last week's driving performance score are determined according to the following formula:
  • T i1 (1-N i /L i ⁇ C) ⁇ 10 (3)
  • T i2 Ca ⁇ E i + Cb (4)
  • 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.
  • Step 130 will be entered after step 122C is performed.
  • 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.
  • the in-vehicle device determines the value of the familiarity dimension based on the acquired frequency data.
  • the value of the familiarity dimension can be calculated based on the following table:
  • Step 130 will be entered after step 122D is performed.
  • 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.
  • the in-vehicle device determines the value of the interactive frequency dimension according to the data acquired in step 121E.
  • the value of the interaction frequency dimension can be calculated based on the following:
  • 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
  • ⁇ 2 and ⁇ 2 are the weight values of Q 1 and Q 2 respectively.
  • the interaction frequency of this week and the frequency of interaction last week are determined according to the following formula:
  • Step 130 will proceed to after step 122E is performed.
  • the in-vehicle device obtains an evaluation value reflecting the condition of the user using the vehicle based on the value of the dimension.
  • 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.
  • 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.
  • a customized threshold can be set for it.
  • the in-vehicle device provides the generated vehicle usage suggestion to the user.
  • 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.
  • vehicle usage recommendations can also be presented to the user in both visual and audio ways.
  • FIG. 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.
  • 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.

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Traffic Control Systems (AREA)

Abstract

La présente invention concerne un procédé et un dispositif d'évaluation de l'état d'utilisation d'un véhicule d'un utilisateur et un support de stockage informatique permettant de mettre en œuvre le procédé. Le procédé comprend les étapes suivantes consistant : à déterminer les valeurs d'une ou plusieurs dimensions d'état d'utilisation de véhicule d'un utilisateur en fonction de l'historique d'utilisation de véhicule de l'utilisateur ; et à obtenir une valeur évaluée reflétant l'état d'utilisation du véhicule de l'utilisateur sur la base des valeurs d'une ou de plusieurs dimensions.
PCT/CN2018/120639 2017-12-15 2018-12-12 Procédé et dispositif d'évaluation d'état d'utilisation d'un véhicule d'un utilisateur Ceased WO2019114759A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
EP18889196.4A EP3726483A4 (fr) 2017-12-15 2018-12-12 Procédé et dispositif d'évaluation d'état d'utilisation d'un véhicule d'un utilisateur

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
CN201711345294.1 2017-12-15
CN201711345294 2017-12-15
CN201810168454.8 2018-02-28
CN201810168454.8A CN109934953A (zh) 2017-12-15 2018-02-28 用于评估用户使用车辆状况的方法和装置

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WO2019114759A1 true WO2019114759A1 (fr) 2019-06-20

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CN102044095A (zh) * 2010-09-10 2011-05-04 深圳市航天星网通讯有限公司 一种个人驾驶行为分析管理控制系统
CN102120441A (zh) * 2011-01-13 2011-07-13 欧科佳（上海）汽车电子设备有限公司 乘用车辆灵巧诊断系统
EP2354992A2 (fr) * 2009-12-23 2011-08-10 Honeywell International Inc. Proxy de passerelle de données pour systèmes intégrés de gestion de la santé
CN103871122A (zh) * 2014-03-11 2014-06-18 深圳市朗仁科技有限公司 驾驶行为分析方法及分析系统
CN104299289A (zh) * 2013-07-17 2015-01-21 焦焱 电动车使用行为评估和激励系统及方法
CN104599346A (zh) * 2013-12-11 2015-05-06 腾讯科技（深圳）有限公司 一种驾驶行为评估方法,及装置
CN105389863A (zh) * 2015-10-16 2016-03-09 江苏南亿迪纳数字科技发展有限公司 一种对车况进行评估的车况指数计算方法
US20160292937A1 (en) * 2013-11-08 2016-10-06 Gogoro Inc. Apparatus, method and article for providing vehicle event data

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EP2354992A2 (fr) * 2009-12-23 2011-08-10 Honeywell International Inc. Proxy de passerelle de données pour systèmes intégrés de gestion de la santé
CN102044095A (zh) * 2010-09-10 2011-05-04 深圳市航天星网通讯有限公司 一种个人驾驶行为分析管理控制系统
CN102120441A (zh) * 2011-01-13 2011-07-13 欧科佳（上海）汽车电子设备有限公司 乘用车辆灵巧诊断系统
CN104299289A (zh) * 2013-07-17 2015-01-21 焦焱 电动车使用行为评估和激励系统及方法
US20160292937A1 (en) * 2013-11-08 2016-10-06 Gogoro Inc. Apparatus, method and article for providing vehicle event data
CN104599346A (zh) * 2013-12-11 2015-05-06 腾讯科技（深圳）有限公司 一种驾驶行为评估方法,及装置
CN103871122A (zh) * 2014-03-11 2014-06-18 深圳市朗仁科技有限公司 驾驶行为分析方法及分析系统
CN105389863A (zh) * 2015-10-16 2016-03-09 江苏南亿迪纳数字科技发展有限公司 一种对车况进行评估的车况指数计算方法

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