EP3931057A1

EP3931057A1 - Possibility for evaluating a driver

Info

Publication number: EP3931057A1
Application number: EP20704430.6A
Authority: EP
Inventors: Daniel Geis-Esser
Original assignee: Knorr Bremse Systeme fuer Nutzfahrzeuge GmbH
Current assignee: Knorr Bremse Systeme fuer Nutzfahrzeuge GmbH
Priority date: 2019-03-01
Filing date: 2020-01-30
Publication date: 2022-01-05
Also published as: DE102019105213A1; WO2020177957A1

Abstract

A method for monitoring vehicle fleets comprising at least one vehicle (1) is disclosed, comprising the following steps: - detecting (S1) at least one movement variable (x, v, a) of the at least one vehicle (1), - determining (S2) a driving profile from the at least one movement variable (x, v, a), the driving profile being associated with a driver. A computer program product, a device (2), an EDP system (3) and a system are also disclosed.

Description

DESCRIPTION

Opportunity for driver evaluation

The present invention relates to a method, a Com puterprogramm product, a device, an EDP system and a system for creating a possibility for driver evaluation.

In many countries the use of buses or shared taxis is particularly important in

public transport usual. Since the operators of such vehicles are often behind the wheel themselves, they are not accountable to any superiors for what may happen. negatively impacts their driving style. In these countries there is often the problem that it is precisely these modes of transport that attract attention due to their risky driving style, which increases the overall risk of traffic accidents. Therefore, it is desirable for passengers to have a

The possibility of being able to see an evaluation of the driving style of a driver before starting the journey and to be able to decide whether to get on with this driver.

It is therefore the object of the invention to provide solutions in order to be able to implement a possibility for driver evaluation as efficiently and with little effort as possible.

This object is achieved with the subjects of the independent claims.

Advantageous further developments are the subject of the subclaims.

According to the invention, a method for driver evaluation is provided which has the following steps:

- Detecting at least one movement variable of a vehicle,

- Determination of a travel profile from the at least one movement variable.

The at least one movement variable is preferably detected by a device that has no data connection to the vehicle itself.

The driving profile preferably has a driver assignment. The driver assignment is preferably carried out in such a way that it is clearly recognizable which driver is the has generated corresponding movement variables and / or the resulting travel profile.

The driving profile preferably contains a time course of the at least one

Movement quantity, so that a statement about the movement of the vehicle is possible.

The method preferably has a further step in which a vehicle load is determined, particularly preferably from the driving profile. The

Vehicle loading can preferably include loading of a chassis, in particular of tires, shock absorbers or springs, and / or loading of a drive train, in particular of an engine, transmission, and / or wear of brake linings or other elements.

The method preferably has a further step in which at least one operating variable of the vehicle is recorded. An operating variable is a variable that results from the operation of the vehicle and that allows conclusions to be drawn about the operation of one or more components of the vehicle.

The method preferably has a further step in which at least one additional item of information that is suitable for evaluating driving behavior of a driver is recorded. These are preferably to be understood as values that can be set directly by the driver. This can be, for example, a steering angle or a pedal position. In particular, a steering speed of the driver can thus be determined and a conclusion can be drawn that the driving style is calm or hectic. By detecting a brake pedal position, a frequency of the brake actuation can preferably be determined. By capturing a

With the clutch pedal position, a frequency of clutch actuation can preferably be determined or it can also be determined how long the clutch was only in slipping engagement.

The detection of the at least one movement variable, the at least one

The operating variable and / or the at least one additional item of information that is suitable for evaluating the driving behavior of a driver is preferably provided by a device which is preferably designed separately from the vehicle. Some of these variables can be recorded by the device itself, for example by sensors of the device or by interfaces to the vehicle. Such an interface can be, for example, an OBD or CAN interface and be cable-based or wireless. The at least one movement variable is particularly preferably detected by the device itself, for example by means of acceleration and / or GPS sensors.

A further step is preferably carried out in which a recommendation or triggering of

Maintenance actions are carried out. Based on the determined driving profile or the determined vehicle load, planning of maintenance actions, such as the replacement of shock absorbers, can be carried out.

The method preferably has a further step in which the driving profile is supplemented by the at least one operating variable or by the at least one additional item of information that is suitable for evaluating the driving behavior of a driver. In this way, the driving profile is made available for analysis with further

Information enriched.

The driving profile preferably has a vehicle assignment. Below is to

understand that each driving profile can be assigned to a specific vehicle. For this purpose, each vehicle in a fleet is preferably equipped with a corresponding one

Identification possibility, particularly preferably provided with a vehicle identifier.

The at least one movement variable preferably has a position specification, a speed and / or an acceleration. The position information is preferably in the form of a three-dimensional position information which contains coordinates in the plane as well as a corresponding flea information, whereby a two-dimensional information is also included

Position information, for example in the plane, or one-dimensional position information, for example on a fixed route based on the distance covered, is conceivable. The speed is preferably designed as a three-dimensional speed, with a two-dimensional or one-dimensional speed detection also being conceivable. A two-dimensional speed detection preferably concerns one Longitudinal and lateral speed of the vehicle. A one-dimensional speed detection preferably relates to a longitudinal speed of the

Vehicle. The acceleration is preferably designed as a three-dimensional acceleration, with a two-dimensional or one-dimensional acceleration

Acceleration detection is conceivable. A two-dimensional

Acceleration detection preferably relates to a longitudinal and a

Lateral acceleration of the vehicle. One-dimensional acceleration detection preferably relates to a longitudinal acceleration of the vehicle.

The at least one operating variable preferably has a speed and / or a torque. This can preferably be an operating variable of a

Act drive unit of the vehicle. The drive unit is to be understood in particular as a motor, a drive train, a transmission, a differential or the like.

A statement on the loading, in particular, of elements of the drive can thus preferably be made from the operating variables.

The driving profile preferably has a characteristic value of a movement variable, in particular a total distance, an average speed, a

Average acceleration, a maximum or minimum speed, a maximum or minimum acceleration and / or other parameters. This characteristic value is preferably derived from the at least one process step in one process step

Movement size determined. The driving profile can preferably be designed as a time series of the at least one movement variable. This can be supplemented in particular by the sizes mentioned here. Alternatively, the driving profile can only consist of at least one of these variables, without time series of the at least one

To have movement size.

The driving profile preferably has a characteristic value of the at least one operating variable and / or the at least one item of information that is suitable

To evaluate the driving behavior of a driver, in particular an average speed, an average torque, a maximum speed, a maximum torque, an average accelerator pedal position, an average steering angle speed and / or other parameters. This characteristic value is preferably in one Method step is determined from the at least one operating variable and / or the at least one item of information that is suitable for evaluating a driver's driving behavior. The driving profile can preferably be supplemented by the sizes mentioned here.

Particularly preferably, the driving profile also has a time series of the at least one operating variable and / or the at least one item of information that is suitable

To evaluate driving behavior of a driver.

It is also advantageous that the driving profile has a driver assignment. I.e. it can be seen, for example, which driver has generated which course of movement variables. In addition or as an alternative, the driving profile advantageously shows which driver, in particular which total distance, average speed, average acceleration, maximum speed, maximum acceleration,

Is responsible for average speed, average torque, maximum speed, maximum torque or other variables.

All average or maximum and minimum values can preferably be recorded over an entire period of time or, furthermore, preferably determined over a certain period of time, i.e. over several weeks, months or even over several years, older underlying values no longer being taken into account or only weakened , for example by a weighting factor.

The driving profile is preferably converted into a

Carried out driver classification of a driver with regard to his driving style, wherein the classification is particularly preferably carried out by a code. For this purpose, classes are preferably provided into which the respective driver can be classified, for example with regard to driving style that is optimal for consumption or wear. Each determined key figure corresponds to a certain class. The driving style is preferably derived from the driving profile and / or the movement variables.

The driver classification is preferably based on energy or

consumption-optimized driving style, according to time-optimized driving style, according to wear-optimized driving style and / or according to risky behavior. So can be beneficial a driving style of a specific driver can be analyzed according to at least one of these aspects and the driver trained accordingly. This driving style is preferably evaluated by the key figure.

An energy and consumption-optimized driving style is preferred by the

Example determined low and / or few acceleration peaks.

A time-optimal driving style is preferably achieved by the driving time from the start to the

Destination point of a route or assessed by the average speed.

A mode of operation that is optimal for wear is preferably determined by low average delays and / or by the lowest possible deceleration peaks.

Risky behavior is preferably caused by high average lateral and / or longitudinal accelerations and / or by many lateral and / or

Longitudinal acceleration peaks determined.

As described at the beginning, in some countries buses are shared taxis or comparable means of transport, especially in local public transport

intended. A passenger can, for example, use an app on his

Book a smartphone.

The driver classification is preferably transmitted or made available to a user who can call it up. A user can, for example, be a passenger who books a shared taxi via his smartphone. He can see the driver classification and thus decide, based on the driving style of the driver, whether to do so

Want to book a shared taxi. In addition, the user can also be a fleet operator who manages several buses or shared taxis or the like or plans and organizes their operation and maintenance. This can be due to the

Driver classification Reward drivers who have a relevant good driving style and train others who have poor driving style. A vehicle classification of a vehicle with regard to its previous load and / or its wear is preferably carried out from the driving profile by means of the vehicle assignment and a previous vehicle load, the classification preferably being carried out using a code number. In this case, there is preferably a division into certain wear classes based on the determined key figure.

Based on this classification, a wear condition of the vehicle can be assessed and maintenance measures can be planned. For example, exceeds the

Code number a predetermined threshold which represents a predetermined wear condition, for example, a warning can be output, or

a maintenance appointment can be automatically planned or booked. The warning can preferably be sent to an IT system or generated by it.

The vehicle preferably belongs to a fleet of at least two in total

Vehicles on or it is preferably assigned to such a fleet.

The method is preferably designed, at least in part, on one

Device to be executed in the vehicle, wherein the device is preferably designed as a mobile terminal and / or is preferably designed to detect at least one movement variable of the vehicle.

A mobile terminal is to be understood as meaning, in particular, a portable device such as a smartphone or a tablet. This has the advantage that the mobile terminal can be designed simply by means of software for carrying out the method according to the invention, with the mobile terminal itself being easily purchased. In addition, the use of a mobile device has the advantage that sensors for detecting at least one of the movement variables are already available.Conventional smartphones, for example, already have a GPS sensor for determining the position and, moreover, acceleration sensors, for example, for accelerating in the three spatial directions capture. Alternatively, however, a device which is specially designed to carry out the method can also be provided. This device preferably has detection means

Detection of at least one company size. The method can preferably be carried out entirely by the device. Alternatively, however, individual steps of the method according to the invention can also be carried out on other devices or elements. This can be, for example, an EDP system that is preferably designed to carry out the method, with only the detection of the movement variables or other variables, such as the operating variables, for example, being detected by the device according to the invention in the vehicle. The EDP system is preferably connected to the device in order to receive the corresponding information from the device. In addition, further distributions of the process steps are on

Device and IT system conceivable.

A further method step is preferably provided in which information or partial results, preferably the driving profile or the recorded data and information, are transmitted to a further device or to an EDP system.

Furthermore, a step is preferably provided in which at least part of the recorded or determined information, such as in particular the driving profile or key figures for driver evaluation, is stored on a central memory, for example a cloud, so that this information is stored in a further step from this central memory can be accessed.

In a further step, further information can preferably be taken from digital map material in order to combine the driving profile with further information

to enrich. For example, slopes can be taken so that in

Connection with the speed of the vehicle recorded there, an engine load and a corresponding load on the engine can be inferred.

According to the invention, a computer program product with code means is provided which, when it is installed on a data processing device, preferably on a mobile terminal device or on an EDP system, is designed to use it

Train implementation of the method described above. The

Computer program product can preferably be stored on a digital storage medium be provided, or can be called up directly by downloading from a central memory.

If an EDP system is designed to carry out the method, it cannot record the movement variables, operating variables or other information that is suitable for evaluating the driving behavior of a driver, since the EDP system is not provided in a vehicle. Instead, the IT system is provided in a central facility for monitoring the vehicle fleet. The EDP system is, however, preferably designed by the computer program product to communicate with at least one device, which is preferably provided in a vehicle, in order to determine at least the movement variable, or further the operating variables or further information that is suitable, a behavior of a driver to be assessed, to be recorded by transmission from the device to the EDP system. The device takes on the actual acquisition step.

The EDP system can preferably also have a cloud, which is preferably designed to carry out the method steps as described above and which is further preferably designed to store and forward information or partial results. The cloud is particularly preferably designed to transmit or provide the driver classification to a user.

According to the invention, a device is provided which is designed to carry out the method described above.

The device is preferably designed to detect at least one movement variable of a vehicle and is preferably designed to detect at least one operating variable of the vehicle and / or at least one additional item of information that is suitable for evaluating a driver's driving behavior.

The device is preferably used to transmit the at least one movement variable and / or the at least one operating variable and / or the at least one additional item of information that is suitable for evaluating the driving behavior of a driver and / or the driving profile to another device or to an EDP System trained. The device is preferably designed as a mobile terminal, preferably as a smartphone.

The device is also preferably designed to have at least one

Movement variable and / or at least one operating variable of the vehicle and / or further information that is suitable for assessing driving behavior of a driver to be recorded. For this purpose, the device preferably has suitable interfaces or

Detection means on. For example, the device may be adapted to be connected using wireless connection, such as Bluetooth ^®, and / or by means of cable-based connection, for example via a CAN or OBD-access, with the vehicle.

As explained above, a mobile terminal device is to be understood in particular as a portable device such as a smartphone or a tablet. This has the advantage that the mobile terminal can be designed simply by means of software for carrying out the method according to the invention, with the mobile terminal itself being easily purchased.

The mobile terminal or the device can carry out the entire

Process or only part of the process. If, for example, an EDP system is provided which is designed for the central monitoring of the vehicles, the at least one movement variable can, for example, be recorded by means of the mobile terminal.

The mobile terminal or the device is preferably by means of the above

described computer program product designed to carry out the method described above.

According to the invention, an EDP system is also provided which is designed to carry out the method described above. The EDP system can preferably have an interface to a user. This interface can preferably have a PC or a mobile terminal. The user can preferably see a classification of a specific driver through the interface.

The computer system is preferably by means of that described above

Computer program product designed to carry out the method described above.

The EDP system itself preferably has a memory or access to a memory or a data source via which data for enriching the driving profile with further information, preferably from digital map material, can be received.

This memory is preferably designed as a cloud, as described above.

According to the invention, finally, a system consisting of at least one device as described above and an EDP system as described above is provided. The EDP system and the at least one device are in contact with one another via a suitable connection and can use this to transfer data and information

change. The system is also preferred for performing the above

described method, wherein individual steps of the method, as described above, can be carried out by the at least one device and / or by the EDP system.

The invention is not limited to the embodiments described above. Furthermore, further embodiments can be achieved by combining, replacing or omitting individual features.

The following is a description of preferred embodiments of the invention with reference to the accompanying drawings.

Show in detail

1 shows a flow chart of a method according to the invention, FIG. 2 shows a flowchart of the method from FIG. 1 expanded by further method steps,

3 shows a flowchart of the method from FIG. 1 expanded by other method steps,

FIG. 4 shows a configuration of an apparatus for implementing the invention, and FIG

FIG. 5 shows a further development of the configuration from FIG. 4.

1 shows a flow chart of a method according to the invention. A step S1 is shown in which a detection of at least one movement variable x, v, a one

Vehicle is carried out. The movement variable can be, for example, a position x, a speed v or an acceleration a or another suitable variable that can be detected during operation of a vehicle and that is suitable for describing the movement of the vehicle. For example, accelerations and / or speeds can be recorded in the three spatial directions. However, rotary movements such as pitching, yawing or rolling movements can also be recorded.

The at least one movement variable x, v, a can be detected, for example, by detection means which are part of the vehicle. On the other hand, the at least one movement variable x, v, a can also be detected by a device which is designed to carry out at least parts of the method. This device is accordingly carried along in the vehicle to detect the at least one movement variable x, v, a. As such a device, for example, a mobile

Terminal, in particular a smartphone, tablet or a device designed for this purpose, can be used.

The acquisition of the acceleration a can for example by means of

Accelerometers take place. These are usually in a mobile terminal available. The acceleration a can also take place by means of a time gradient of a detected speed.

The position x is detected, for example, by means of a positioning system, for example by means of GPS. The position x can also consist of a

Velocity v or can be determined from an acceleration a by integrating once or twice if a starting position is known.

The speed v can be detected, for example, as a time gradient from the detected positions x or by integrating a detected acceleration a.

Step S1 is followed by a further step S2, in which a

Driving profile from the at least one movement variable x, v, a is carried out. A driving profile can, for example, be a time profile of the corresponding

Movement variable x, v, a or a single characteristic value, such as an average acceleration or an average speed.

The driving profile can be assigned to individual trips, for example via a

Time specification, or be designed as a continuous driving profile.

Furthermore, the driving profile has a driver assignment, which makes it possible to assign the profile to a specific driver.

FIG. 2 shows a further development of the method from FIG. 1. In addition to steps S1 and S2, which essentially correspond to those from FIG. 1, a further step S7 has been added here. Therefore, this step is mainly discussed below.

Step S7 includes a driver classification. On the basis of the driving profile that was determined in step S2, the driver is classified with regard to himself

Driving style. The classification takes place, for example, by a key figure that is determined from the driving profile. For this purpose, classes are provided, for example, into which the respective driver can be classified, for example with regard to consumption or wear-optimal or with regard to hectic or critical driving style. Each corresponds determined key figure of a certain class. The driving style is preferably derived from the driving profile and / or the movement variables.

The code can also be made available to other users so that they can decide, for example, whether they want to book a trip with this driver.

FIG. 3 shows a further development of the method from FIG. 1. In addition to steps S1 and S2, which essentially correspond to those from FIG. 1, further steps have been added here. Therefore, these steps are mainly discussed below.

A step S4 is shown in which at least one operating variable n, M is detected. If appropriate access is possible, it can be, for example, a speed n, a torque M or an engine load. Such variables can, for example, via a corresponding interface in the vehicle,

for example, can be made accessible via a CAN or OBD interface.

In particular, these can be variables that describe the operation of elements of the drive train of the vehicle. This can be the speed n and torque M of an engine, a transmission, a differential or other elements of the vehicle.

A further step S5 is also provided, in which at least one additional item of information is recorded which is suitable for evaluating a driver's driving behavior. Is

For example, if access to a steering angle of the vehicle is possible, an assessment of the driving style can be carried out on the basis of this steering angle.

Finally, in a step S6, the driving profile that was created in step S2 is supplemented by the at least one recorded operating variable n, M that was recorded in step S4, or by the at least one additional item of information that was recorded in step S5. The driving profile, which for example has a time curve of the speed v or the acceleration a, can be expanded to include further information.

The step S6 is followed by a further step S3, in which a determination of a

Vehicle loading takes place from the driving profile. The driving profile is evaluated in order to to determine how high the vehicle load has been so far. A maintenance requirement for the vehicle can, for example, be derived from the determined vehicle load. The method is designed, in particular, to recommend maintenance at an earlier point in time for a driving style that has relatively high accelerations or speeds than for a driving style that has comparatively low accelerations and speeds.

Furthermore, an assessment of a driver can be derived from the driving profile. This can be done, for example, by step S7 from FIG. 2. The driver can, for example, be classified as a fuel-efficient driver type or as a fuel-efficient driver

Driver type are classified. This can, for example, be based on the

Acceleration behavior of the driver take place. If, for example, high deflections are recorded in the course of a longitudinal acceleration, it can be concluded that the driving style is hectic or fuel-efficient. Alternatively or additionally, for example, an average acceleration in the direction of travel can be determined.

If this exceeds a certain limit value, a

low-consumption driving style are closed.

In addition, for example, a statement about wear of the

Vehicle brakes are hit. If, for example, high longitudinal decelerations are to be recorded in the course of a longitudinal acceleration which, for example, are above a predetermined value which corresponds, for example, to a more favorable deceleration, then it can be concluded that the mode of driving is unfavorable to wear. Alternatively or additionally, for example, an average deceleration in the direction of travel can be determined. If this exceeds a certain limit value, it can also be concluded that the brake wear is higher.

The decision as to whether maintenance is to be carried out is made in particular on the basis of information that includes the vehicle type, for example.

The methods shown in FIGS. 1 to 3 can be combined with one another as desired. For example, individual process steps can be exchanged for one another. For example, step S7 in FIG. 2 can be swapped for step S3 in FIG. 3 become. Individual process steps can also be omitted. For example, steps S3, S4, S5, S6 or S7 can be omitted. It is also understood that the sequence of the method steps can be varied as desired, with individual steps also being able to be carried out several times.

Finally, FIG. 4 shows a configuration for carrying out the method according to the invention.

A vehicle 1 is shown in plan view. In this vehicle 1, a device 2 is provided which is designed to carry out at least part of the method according to the invention. The device 2 is designed, for example, as a mobile terminal device, that is to say, for example, as a smartphone or tablet.

In the embodiment shown, the device 2 is designed to

To detect movement variables, especially a longitudinal acceleration a _x , a transverse acceleration a _y , a speed v and a position x.

The device 2 is fixed in the vehicle 1 so that it cannot perform any relative movement, for example due to a dynamic driving style, with respect to the vehicle 1. The detected movement variables x, v, a _x and a _y can thus be understood to a good approximation as the movement variables of the vehicle 1. A driving profile can thus be created from the recorded movement variables x, v, a _x and a _y . The

Longitudinal acceleration a _x and transverse acceleration a _y are combined, for example, as a two-dimensional vector of acceleration a.

The device 2 is via a data connection 4, for example via a

Cellular network, with an EDP system 3 in connection. The device 2 can communicate with the EDP system 3 via this data connection 4. The EDP system 3 is essentially designed to receive information from the device 2 via the

Data connection 4 can be sent, store and manage. In addition, information from further devices 2 can also be stored and managed in the EDP system 3. The device 2 and the EDP system 3 are designed to at least partially carry out the method according to the invention.

For example, the movement variables x, v, a _x and a _{y are recorded} in the

Device 2, since this must be provided in vehicle 1 for detection. In addition, however, the further method steps, which essentially only deal with processing and evaluating the recorded variables, can be carried out in the device 2 or in the EDP system 3. Some of these steps, such as the determination of the driving profile according to step S2 from FIGS. 1 to 3, can also be carried out in the device 2, with the determined driving profile then being transmitted via the data connection 4 to the EDP system 3, which from the driving profile in turn determines a vehicle load according to step S3 from FIG. 3 or carries out a driver classification according to step S7 from FIG. 2.

Finally, a user 8 is shown who is connected to the EDP system 3 via a data connection 7, for example via a cellular network. The user can also receive data or information from the EDP system. For this purpose, the user 8 has, for example, a suitably designed interface, for example an app on a smartphone, so that he can call up the information as comfortably as possible. If the user 8 is a passenger, he can use this to call up a driver classification and thus decide whether he would like to book a trip with the corresponding driver. If the user 8 is a superior of the driver, he can decide on the basis of the classification to train the driver in order to make him more attractive to other passengers.

FIG. 5 shows a further development of the configuration from FIG. 4.

The vehicle 1 also has a drive unit 5, for example a motor, the operating variables n, M of which are made accessible. The device 2 receives operating variables n, M of the drive unit 5 via a further data connection 6, which is designed, for example, as a CAN or OBD interface, so that the device 2 is now designed to carry out step S4 from FIG. 2. The data connection 6 can be cable-based, for example. In addition, the data connection 6 also be formed wirelessly, for example by a transmitter with a CAN or OBD interface of the vehicle 1 and is connected wirelessly to the device 2, for example the Bluetooth ^®, transmitted. The device 2 can, however, also be designed to be plugged directly onto a corresponding interface or to be attached to it, whereby data transmission between the interface and

Device 2 is omitted.

In a comparable manner, at least one additional item of information that is suitable for evaluating driving behavior of a driver can also be recorded.

REFERENCE LIST

1 vehicle

2 device

3 EDP system

4 data connection

5 drive unit

6 Data connection

7 Data connection

8 users

a acceleration

a _x longitudinal acceleration

a _y lateral acceleration

M torque

n speed

v speed

x position

51 Detection of at least one movement quantity x, v, a

52 Determination of a travel profile from the at least one movement variable x, v, a

53 Determining a vehicle load from the driving profile

54 Recording of at least one company variable n, M

55 Acquisition of at least one additional item of information that is suitable

To evaluate driving behavior of a driver

56 Supplementing the driving profile with the at least one operating variable n, M or with the at least one additional item of information

57 Driver classification

Claims

PATENT CLAIMS

1. Procedure for driver evaluation, comprising the following steps:

- Detecting (S1) at least one movement variable (x, v, a) of a vehicle (1),

- Determination (S2) of a driving profile from the at least one movement variable (x, v, a), the driving profile having a driver assignment.

2. The method according to claim 1, comprising at least one further step:

- Determination (S3) of a vehicle load,

- Detecting (S4) at least one operating variable (n, M) of the vehicle (1),

- Detecting (S5) at least one additional item of information that is suitable

Evaluate the driving behavior of a driver,

- Supplementing (S6) the driving profile with the at least one operating variable (n, M) or with the at least one additional item of information, and / or

- Recommend or initiate maintenance actions.

3. The method of claim 1 or 2, wherein

the driving profile has a vehicle assignment and / or other parameters.

4. The method according to any one of the preceding claims, wherein

which has at least one movement variable (x, v, a) in particular a position specification (x), a speed (v) and / or an acceleration (a).

5. The method according to any one of claims 2 to 4, wherein

which has at least one operating variable (n, M) in particular a speed (n) and / or a torque (M).

6. The method according to any one of the preceding claims, wherein

a characteristic value from the at least one for the driving profile

Movement size (x, v, a), especially a total distance, a

Average speed, an average acceleration, a maximum or Minimum speed, a maximum or minimum acceleration and / or a further parameter is determined.

7. The method according to any one of claims 2 to 6, wherein

a characteristic value for the driving profile from the at least one operating variable (n, M) and / or from the at least one additional item of information, in particular one

Average speed, an average torque, a maximum speed

Maximum torque, an average accelerator pedal position, an average

Steering angular speed and / or another parameter is determined.

8. The method according to any one of the preceding claims, wherein

a driver classification of a driver with regard to his driving style is carried out from the driving profile by means of the driver assignment and the classification is preferably carried out by means of a code number.

9. The method of claim 8, wherein

the driver classification is based on energy or consumption-optimized driving style, according to time-optimized driving style, according to wear-optimized driving style and / or according to risky behavior.

10. The method according to any one of claims 3 to 9, wherein

from the driving profile using the vehicle assignment and a previous one

Vehicle load A vehicle classification of a vehicle (1) is carried out with regard to its previous load and / or its wear and tear, and the classification is preferably carried out by means of a code number.

11. The method according to any one of the preceding claims, wherein

the vehicle (1) is assigned to a fleet of at least two vehicles.

12. The method according to any one of the preceding claims, wherein

the method is designed to be carried out at least partially on a device (2) in the vehicle (1), and the device (2) preferably as mobile terminal is designed and / or is preferably designed to detect at least one movement variable (x, v, a) of the vehicle (1).

13. The method according to any one of the preceding claims, comprising at least one further step:

- Transmission of information or partial results to another device (2) or to an EDP system (3)

- Transmission or provision of the driver classification to a user (8).

14. Computer program product with code means which is designed, when it is installed on a data processing device, preferably on a mobile terminal or on an EDP system, to cause it to carry out the method according to one of claims 1 to 13.

15. Device (2) which is designed to carry out the method according to one of claims 1 to 13.

16. The device (2) according to claim 15, wherein

the device (2) is designed to detect at least one movement variable (x, v, a) of a vehicle (1) and is preferably designed to record at least one operating variable (n, M) of the vehicle (1) or at least one piece of information, which is suitable for evaluating a driver's driving behavior, to record.

17. Device (2) according to one of claims 15 or 16, wherein

the device (2) for transmitting the at least one movement variable (x, v, a) and / or the at least one operating variable (n, M) and / or the at least one additional item of information which is suitable for evaluating and evaluating the driving behavior of a driver / or the driving profile, to a further device or to an EDP system (3).

18. Device (2) according to one of claims 15 to 17, wherein

the device (2) is designed as a mobile terminal, preferably as a smartphone.

19. EDP system (3), which is designed to carry out the method according to one of claims 1 to 13 and which preferably has a cloud, which is further preferably designed to store and forward information or partial results and particularly preferably to transmit or provide the driver classification to a user (8) is formed.

20. System consisting of:

- At least one device (2) according to one of claims 15 to 18, and

- an EDP system (3) according to claim 19.