CN114394103A

CN114394103A - Method for operating a vehicle, external server and system

Info

Publication number: CN114394103A
Application number: CN202210049488.1A
Authority: CN
Inventors: 巩志民; 翟一德; 郑能涛; 贺钊
Original assignee: Daimler AG
Current assignee: Mercedes Benz Group AG
Priority date: 2022-01-17
Filing date: 2022-01-17
Publication date: 2022-04-26
Also published as: DE102023000075A1

Abstract

The invention relates to a method for operating a vehicle, wherein the method comprises the following steps: a current gear shift amount obtaining step of obtaining a current gear shift amount of the vehicle when a brake is stepped on at present; an information acquisition step in which the vehicle acquires current data information on wet skid of a road surface of the vehicle that is found based on at least the current shift amount and a recent normal shift amount of the vehicle when a brake is stepped on under a normal road surface condition in the recent past; wherein the recent normal shift amount and the current shift amount include, inter alia, an acceleration of the vehicle and/or a speed change percentage of the vehicle. The invention also relates to a vehicle and an external server and a system comprising a vehicle and an external server. The invention has the advantages that the road condition can be judged by means of big data, and the interference caused by the change of the current vehicle condition relative to the factory vehicle condition can be excluded when the road condition is judged.

Description

Method for operating a vehicle, external server and system

Technical Field

The invention relates to a method for operating a vehicle, to an external server for a vehicle, and to a system comprising an external server and a vehicle.

Background

In weather such as rain, snow, fog and the like, the road surface is wet and slippery. The running performance of the vehicle on a wet road surface may have a large difference from the running performance on a dry road surface. For example, the vehicle is more difficult to decelerate at the same braking force and the braking distance of the vehicle is greater, etc. These all present a security risk. Thus, for example, there is a need to determine the wet condition of the road surface and to calculate the braking distance in the wet condition of the road surface. The current determination method and calculation method are generally performed based on new vehicle parameters at the time of delivery. However, as the vehicle is used, the vehicle may become worn, especially the tread of the vehicle may be worn and the brake fluid of the vehicle may be reduced. These have a great influence on the braking behavior of the vehicle and thus also on the accuracy of the current determination method and calculation method.

Disclosure of Invention

The object of the present invention is to provide a method for operating a vehicle, which allows a road condition to be determined in a simple manner using big data and which is capable of excluding disturbances caused by changes in the current vehicle condition relative to the factory vehicle condition when determining the road condition.

According to a first aspect of the invention, a method for operating a vehicle is provided, wherein the method comprises the steps of:

a current gear shift amount obtaining step of obtaining a current gear shift amount of the vehicle when a brake is stepped on at present;

an information acquisition step in which the vehicle acquires current data information on wet skid of a road surface of the vehicle that is found based on at least the current shift amount and a recent normal shift amount of the vehicle when a brake is stepped on under a normal road surface condition in the recent past;

wherein the recent normal shift amount and the current shift amount especially comprise an acceleration of the vehicle and/or a speed change percentage of the vehicle, the recent especially being the previous day or days.

According to an alternative embodiment, the current data information comprises at least one of:

the road condition on which the vehicle is currently driving, in particular whether the road is slippery and/or the degree of wetness of the road;

the current braking distance information of the vehicle, in particular the braking distance in the case of a slippery road surface and/or the braking distance compared to the normal road surface situation, becomes significant;

current suitable vehicle speed information of the vehicle, in particular a suitable vehicle speed in wet road conditions and/or whether the vehicle should decelerate.

According to an alternative embodiment, the method comprises a recent normal shift amount acquisition step in which the recent normal shift amount is acquired based on recent big data of the vehicle, in particular in an external server.

According to an alternative embodiment, the method includes an information generating step in which current data information relating to road surface wet skid of the vehicle is found based on at least the current shift amount and the recent normal shift amount in the vehicle and/or in an external server.

According to an alternative embodiment, the information generating step comprises at least one of the following sub-steps:

a wet skid judgment sub-step in which the current and recent normal shift amounts are compared, in particular, the current and recent normal shift amounts are compared with each other and/or a difference and/or a ratio of the current and recent normal shift amounts is compared with a preset threshold value, and a road surface wet skid condition is judged based on the comparison;

a distance calculation sub-step in which a current braking distance is calculated based on at least the current shift amount, the recent normal shift amount, and a recent normal braking distance derived from the recent normal shift amount;

a vehicle speed evaluation sub-step in which a suitable vehicle speed under the current road surface conditions is evaluated at least on the basis of the current gear change amount, the recent normal gear change amount, the evaluation taking into account in particular also the recent normal braking distance, the current braking distance, speed limit information for the current road section and/or the current traffic conditions.

According to an alternative embodiment, the distance calculating sub-step and the vehicle speed estimating sub-step are performed only when it is determined in the wet skid determining sub-step that the road surface is wet or the road surface wet skid is higher than a preset threshold value;

according to an alternative embodiment, the braking habits of the driver of the vehicle are obtained from the big data of the vehicle and taken into account when calculating the recent normal braking distance and/or the current braking distance, the braking habits including in particular the force curve of the driver applying the brakes.

According to an alternative embodiment, the method comprises at least one of the following steps:

a data collection step in which recent big data of the vehicle are collected, in particular by an external server based on communication with the vehicle;

an output step in which, based on the current data information, a corresponding signal is output to the occupant, in particular visually, acoustically and/or haptically, in particular in a digitized manner.

According to a second aspect of the present invention, there is provided a vehicle comprising a sensor unit for detecting a speed and/or acceleration of the vehicle; wherein the vehicle is configured to be adapted to perform the aforementioned method, the vehicle further comprising inter alia a communication unit for communicating with an external server.

According to a third aspect of the present invention, there is provided an external server for a vehicle, wherein the external server is configured to acquire a recent normal shift amount of the vehicle when a brake is applied under a normal road condition in the recent past based on recent big data of the vehicle and/or to find current data information of the vehicle related to wet skid of a road based on at least a current shift amount of the vehicle when a brake is applied and a recent normal shift amount of the vehicle when a brake is applied under a normal road condition in the recent past. The vehicle is in particular the aforementioned vehicle.

According to an alternative embodiment, the external server is a cloud server.

According to a fourth aspect of the present invention, there is provided a system comprising an external server and a vehicle, the system being configured and adapted to find current data information of the vehicle relating to road surface hydroplaning based on at least a current shift amount of the vehicle when currently braking and a recent normal shift amount of the vehicle when recently braking under a normal road condition. The vehicle is in particular the aforementioned vehicle and the external server is in particular the aforementioned external server.

The invention has the positive effects that: the road condition can be determined in a simple manner by means of the big data and disturbances caused by changes in the current vehicle condition relative to the outgoing vehicle condition can be excluded when determining the road condition.

Drawings

The principles, features and advantages of the present invention may be better understood by describing the invention in more detail below with reference to the accompanying drawings. The drawings comprise:

fig. 1 shows an example of a vehicle according to the invention in a schematic view.

Fig. 2 shows an exemplary flow of the method of the invention in a schematic representation.

Fig. 3 shows an example of the system of the invention in a schematic block diagram.

Fig. 4 shows a further exemplary sequence of the method according to the invention in a schematic representation.

Detailed Description

In order to make the technical problems, technical solutions and advantageous effects of the present invention more apparent, the present invention will be described in further detail with reference to the accompanying drawings and exemplary embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and do not limit the scope of the invention.

Fig. 1 shows a vehicle 1. The vehicle 1 is, for example, a passenger car, but is not limited to a passenger car, but may be any motor vehicle, such as a passenger car, a van, a tricycle, a motorcycle, etc. The road surface on which the vehicle 1 travels may be dry or slippery. Slippery road surfaces may be caused by rain, snow, fog or water spray, etc. The running performance of the vehicle 1 on a wet road surface generally differs greatly from the running performance on a dry road surface. For example, the vehicle 1 is harder to decelerate and the braking distance of the vehicle 1 is greater, etc. These all present a security risk. There is thus a need to determine the wet skid condition of the road surface, calculate the braking distance in the wet skid condition, and adapt the vehicle speed. The current determination method and calculation method are generally performed based on new vehicle parameters at the time of shipment. However, as the vehicle 1 is used, the vehicle 1 may be worn out, especially the tread of the vehicle 1 may be worn and the brake fluid of the vehicle 1 may be reduced. These have a great influence on the braking behavior of the vehicle 1 and thus also on the current determination and calculation methods.

In order to eliminate influences due to vehicle condition variations, a method for operating the vehicle 1 is proposed. As shown in fig. 2, the method comprises at least the following steps:

a current shift amount obtaining step of obtaining a current shift amount of the vehicle 1 when a brake is stepped on at present;

an information acquisition step in which the vehicle 1 acquires current data information on wet road surface of the vehicle 1 that is found based on at least the current shift amount and a recent normal shift amount of the vehicle 1 when a brake is applied in a normal road surface condition in the recent past.

"current" is understood in particular in conjunction with "recent", which is understood in particular to mean the current moment at which the brake is applied, whereas "recent" is understood to mean earlier than "current". "recent" is understood to mean, in particular: the previous day or days, for example, the previous week, and the vehicle 1 has a vehicle condition in the "recent" that is approximately completely identical to the "current" vehicle condition.

According to an exemplary embodiment, the recent normal shift amount and the current shift amount include an acceleration of the vehicle 1 and/or a speed change percentage of the vehicle 1. It is contemplated that the recent normal shift amount and the current shift amount include any other form of quantity, data, signal, etc. that is representative of a change in speed of the vehicle 1 during braking.

According to an exemplary embodiment, the current data information comprises at least one of:

the road surface condition on which the vehicle 1 is currently driving, in particular whether the road surface is slippery and/or the degree of wetness of the road surface;

the current braking distance information of the vehicle 1, in particular the braking distance in the case of a slippery road surface and/or the braking distance compared to the normal road surface situation, becomes significant;

current suitable vehicle speed information of the vehicle 1, in particular a suitable vehicle speed in wet road conditions and/or whether the vehicle 1 should be decelerated.

A system for implementing the method comprising a vehicle 1 and an external server 2 is schematically shown in fig. 3. The vehicle 1 here comprises, for example, a sensor unit 11 for detecting the speed and/or acceleration of the vehicle 1, a control unit 13 and a communication unit 12. The communication unit 12 can communicate, in particular exchange, data and/or information, with an external server 2, in particular a cloud server. The data acquired by the sensor unit 11 are transmitted, for example, via the control unit 13 to the communication unit 12 or directly to the communication unit 12, and the communication unit 12 then transmits the data to the external server 2.

Another exemplary flow of the method of the present invention is shown in fig. 4.

According to an exemplary embodiment, the method comprises a data collection step in which recent big data of the vehicle 1 are collected, in particular by an external server 2 based on communication with the vehicle 1. The external server 2, for example, continuously collects data of the vehicle 1.

According to one exemplary embodiment, the method includes a recent normal shift amount acquisition step in which the recent normal shift amount is acquired based on recent big data of the vehicle 1, particularly in the external server 2. In this case, recent data of the vehicle 1 are filtered and evaluated, for example, by means of a suitable algorithm, in order to obtain a recent normal gear change quantity, in particular an average value of the recent normal gear change quantity, from the data. It is also contemplated that a corresponding neural network model is generated and continuously trained to analyze the big data and improve the accuracy of the judgment and calculation.

According to an exemplary embodiment, the method includes a current shift amount obtaining step of obtaining a current shift amount of the vehicle 1 at the time of stepping on the brake. For example, the data detected by the sensor unit 11 are used to derive the current gear change directly or by conversion.

According to an exemplary embodiment, the method comprises an information generating step in which current data information of the vehicle 1 relating to road surface wet skid is found based on at least the current and recent normal shift amounts in the vehicle 1, in particular in the control unit 13 and/or in an external server 2.

According to an exemplary embodiment, the information generating step comprises at least one of the following sub-steps:

According to an exemplary embodiment, the distance calculating sub-step and the vehicle speed estimating sub-step are performed only when it is determined in the wet skid determining sub-step that the road surface is wet or the road surface wet skid is higher than a preset threshold value. If the difference between the current speed change amount and the recent normal speed change amount is not large or the current road surface is judged to be normal, the distance calculation sub-step and the vehicle speed evaluation sub-step are not required to be performed.

According to an exemplary embodiment, the braking habits of the driver of the vehicle 1 are obtained from the big data of the vehicle 1 and are taken into account when calculating the recent normal braking distance and/or the current braking distance, the braking habits including, inter alia, the force curve with which the driver applies the brakes. Thereby eliminating the disturbing factors caused by different braking habits.

According to an exemplary embodiment, the method comprises an information acquisition step in which the vehicle 1 acquires current data information relating to road surface wet skid, in particular the current data information generated by the information generation step.

According to an exemplary embodiment, the method comprises an output step in which a corresponding signal is output to the occupant on the basis of the current data information, in particular in a visual, audible and/or tactile manner, in particular in a digitized manner. The occupant is in particular a driver. It is conceivable to warn the occupant of a slippery road surface or to warn the occupant of a greater braking distance, in particular to inform the occupant of a braking distance value below the current slippery road surface or a greater braking distance value compared to a normal road surface or to inform the occupant of a suggested vehicle speed value on the current slippery road surface or to warn the occupant of a deceleration or the like.

It is noted that in describing representative embodiments, the specification may have presented the method and/or process as a particular sequence of steps. However, to the extent that the method or process does not rely on the particular order of steps set forth herein, the method or process should not be limited to the particular sequence of steps described. Other orders of steps are possible as will be understood by those of ordinary skill in the art. Therefore, the particular order of the steps set forth in the specification should not be construed as limitations on the claims. Further, the claims directed to the method and/or process should not be limited to the performance of their steps in the order written, and one skilled in the art can readily appreciate that the sequences may be varied and still remain within the spirit and scope of the embodiments of the present application.

Furthermore, each step listed in particular as an alternative embodiment may be performed in the control unit 13 of the vehicle 1, in the same external server 2 or in different external servers 2. It is thus possible that an actionable object may perform only one or a portion of the steps of the method. Accordingly, the claimed method should not be construed as necessarily including all of the steps listed.

Although specific embodiments of the invention have been described herein in detail, they have been presented for purposes of illustration only and are not to be construed as limiting the scope of the invention. Various substitutions, alterations, and modifications may be devised without departing from the spirit and scope of the present invention.

Claims

1. A method for operating a vehicle (1), wherein the method comprises the steps of:

a current gear shift amount obtaining step of obtaining a current gear shift amount of the vehicle (1) when the brake is stepped on at present;

an information acquisition step in which the vehicle (1) acquires current data information on wet skid of the road surface of the vehicle (1) that is found based on at least the current shift amount and a recent normal shift amount of the vehicle (1) when a brake is applied in a normal road condition in the recent past;

wherein the recent normal and current shift amounts comprise especially the acceleration of the vehicle (1) and/or the speed change percentage of the vehicle (1), the recent especially the previous day or days.

2. The method of claim 1, wherein the current data information comprises at least one of:

the road condition on which the vehicle (1) is currently travelling, in particular whether the road is slippery and/or the degree of wetness of the road;

the current braking distance information of the vehicle (1), in particular the braking distance in the case of a slippery road surface and/or the braking distance in comparison with the normal road surface situation, is increased by a large amount;

-current suitable vehicle speed information of the vehicle (1), in particular a suitable vehicle speed in wet road conditions and/or whether the vehicle (1) should be decelerated.

3. The method according to claim 1 or 2, wherein the method comprises a recent normal shift amount acquisition step in which the recent normal shift amount is acquired based on recent big data of the vehicle (1), in particular in an external server (2).

4. A method according to any of the preceding claims, wherein the method comprises an information generating step in which current data information of the vehicle (1) relating to road surface hydroplaning is found, in the vehicle (1) and/or in an external server (2), based on at least the current and recent normal shift amounts.

5. The method of claim 4, wherein the information generating step comprises at least one of the following sub-steps:

6. The method according to claim 5, wherein the method comprises at least one of the following features:

the distance calculating sub-step and the vehicle speed evaluating sub-step are executed only when it is judged in the wet skid judging sub-step that the road surface is wet or the road surface wet skid degree is higher than a preset threshold value;

obtaining braking habits of a driver of the vehicle (1) through big data of the vehicle (1), and considering the braking habits when calculating the recent normal braking distance and/or the current braking distance, wherein the braking habits particularly comprise a force curve of the driver stepping on the brake.

7. The method according to any of the preceding claims, wherein the method comprises at least one of the following steps:

a data collection step in which recent big data of the vehicle (1) are collected, in particular by an external server (2) based on a communication with the vehicle (1);

8. A vehicle (1), the vehicle (1) comprising a sensor unit (11) for detecting a speed and/or an acceleration of the vehicle (1);

wherein the vehicle (1) is configured to be adapted to perform the method of any one of claims 1 to 7;

the vehicle (1) further comprises, in particular, a communication unit (12) for communicating with an external server (2).

9. An external server (2) for a vehicle (1), wherein the external server (2) is configured to be adapted to obtain a recent normal shift amount of the vehicle (1) when braking under normal road conditions in the recent past based on recent big data of the vehicle (1) and/or to derive current data information of the vehicle (1) related to road hydroplaning based on at least the current shift amount of the vehicle (1) when braking under current and the recent normal shift amount of the vehicle (1) when braking under normal road conditions in the recent past, the external server (2) being in particular a cloud server, the vehicle (1) being in particular a vehicle (1) according to claim 8.

10. A system comprising an external server (2) and a vehicle (1), the system being configured and adapted to derive current road surface hydroplaning-related data information of the vehicle (1) at least based on a current speed change of the vehicle (1) currently when braking and a recent normal speed change of the vehicle (1) when braking with a recent normal road condition, the vehicle (1) being in particular a vehicle (1) according to claim 8, the external server (2) being in particular an external server (2) according to claim 9.