CN111754756A

CN111754756A - Method and system for optimizing the wear of vehicles of a fleet of vehicles

Info

Publication number: CN111754756A
Application number: CN202010218472.XA
Authority: CN
Inventors: F.G.米拉尼; V.布拉施克
Original assignee: Robert Bosch GmbH
Current assignee: Robert Bosch GmbH
Priority date: 2019-03-26
Filing date: 2020-03-25
Publication date: 2020-10-09
Anticipated expiration: 2040-03-25
Also published as: DE102019204142A1

Abstract

A method for optimizing losses in a fleet (22), comprising the steps of: (a) receiving at least one journey parameter of a journey planned with vehicles (24 a, 24b, 24 c) of the fleet (22); (b) determining at least one loss parameter for the planned journey from the at least one received journey parameter; and (c) selecting from the vehicle platoon (22) a vehicle (24 a, 24b, 24 c) suitable for the planned journey on the basis of the vehicle parameter of the vehicles (24 a, 24b, 24 c) of the vehicle platoon (22) and the at least one loss parameter in such a way that the loss of the vehicle (24 a, 24b, 24 c) is distributed as evenly as possible over the vehicles (24 a, 24b, 24 c) of the vehicle platoon (22).

Description

Method and system for optimizing the wear of vehicles of a fleet of vehicles

Technical Field

The present invention relates to a method and system for optimizing the wear of vehicles of a fleet of vehicles in fleet management.

Background

Heretofore, vehicles have been selected from a fleet of vehicles to perform a planned trip based on the current fill level of the available vehicle's current premises and/or bin or battery.

Vehicle selection in this manner may result in a vastly different loss of components of the various vehicles of the fleet. The vastly different wear of the vehicles in the fleet leads to a reduction in the service life of the severely worn vehicles in addition to different maintenance intervals and to the need for replacement of the vehicles between different premises by the fleet operator if necessary.

Disclosure of Invention

The object of the invention is therefore to compensate for losses in a vehicle fleet, i.e. to distribute the losses due to the use of the vehicles more evenly over all the vehicles of the vehicle fleet.

According to one embodiment of the invention, a method for optimizing losses in a fleet of vehicles comprises the steps of: receiving at least one trip parameter for a trip planned with vehicles of the fleet; determining at least one loss parameter for the planned journey from the at least one received journey parameter; selecting vehicles from the vehicle platoon that are suitable for the planned journey on the basis of the vehicle parameters of the vehicles of the vehicle platoon that are called from the vehicles and/or stored in the storage device and the at least one loss parameter in such a way that the loss of the vehicles is distributed as evenly as possible to the vehicles of the vehicle platoon; and outputting information about the selected vehicle, which can clearly identify the selected vehicle.

According to one embodiment of the present invention, a system for optimizing losses in a fleet of vehicles includes at least one input device, a storage device, a loss parameter determination device, a selection device, and at least one output device.

The at least one input device is configured to receive at least one trip parameter for a trip planned with vehicles of a fleet of vehicles. The loss parameter determination device is designed to determine at least one loss parameter for the planned journey from the at least one received journey parameter. The storage device is designed to store vehicle parameters and user-specific parameters of different vehicles.

The selection device is designed to select a vehicle from the vehicle fleet that is suitable for the planned journey on the basis of the at least one wear parameter and the vehicle parameters stored in the memory device in such a way that the wear of the vehicle is distributed as evenly as possible to the vehicles of the vehicle fleet. The output device is configured to output information about the selected vehicle that is capable of unambiguously identifying the selected vehicle.

The method and the device according to the invention make it possible to distribute the journey performed with the vehicles of the fleet over the vehicles of the fleet in such a way that the vehicles of the fleet wear out as uniformly as possible.

This avoids different loads and losses of the vehicles in the fleet and produces a uniform loss of value in the entire vehicle.

In addition to this, different maintenance intervals and different service lives of the vehicles, vehicle components and possible necessary redistribution of the vehicles of the fleet between different premises can be largely avoided or at least significantly reduced. As a result, the utilization efficiency of the vehicle fleet can be improved.

In one embodiment, the output device comprises at least one display device, which is designed to display information about the selected vehicle in order to enable the user to travel to the selected vehicle and use it for the planned journey.

In one embodiment, the at least one output device comprises at least one data transmission device configured to transmit information about the selected vehicle to the display device. In this way, information can be displayed on a display device spatially separated from the selection device. For example, a mobile phone ("smartphone") and/or a "tablet" can be used as a display device.

In one embodiment, the at least one journey parameter comprises a start point, an end point, a distance between the start point and the end point and/or a probable duration of the planned journey.

On the basis of such travel parameters, route-specific parameters with respect to the environmental conditions along the route, such as the ambient temperature and/or the route situation, such as curves and ramps, and/or the current traffic situation, can be additionally called up via the internet, for example. The expected losses of the vehicle over the planned journey can be determined as a function of journey parameters and/or route-specific parameters and/or user-specific parameters, so that at least one loss parameter can be determined and a vehicle suitable for the planned journey can be selected.

In one embodiment, the at least one vehicle parameter comprises a current fill level of a tank and/or a battery of the respective vehicle, a mileage and/or at least one vehicle loss parameter, for example a state of health of the battery and/or a brake/brake lining. Such vehicle parameters are determined and taken into account so that a suitable vehicle for the planned journey can be selected.

In one embodiment, the system comprises a sensor installed in the vehicle, which sensor is designed to determine at least one desired vehicle parameter and to transmit it to the selection device.

In one embodiment, the at least one travel parameter also includes a desired vehicle size, a desired motor power and/or a desired interior temperature of the vehicle. In this way, the desire for individualization of the user/driver can also be taken into account when selecting a vehicle.

In one embodiment, the method additionally comprises the following steps, namely: the method comprises the steps of identifying a defined driver of the vehicle, recalling a driver profile of the identified driver, and taking into account the driver profile when selecting the vehicle. In this way, a vehicle that is most suitable for the respective driver can be individually selected from the fleet.

In one embodiment, the method additionally comprises the following steps, namely: user-specific parameters are stored in the storage means during the journey. The user-specific parameters can include, in particular, parameters relating to individual driving characteristics, such as, for example, severe acceleration and/or braking processes, high speeds, etc., and/or adjustments in the vehicle, such as, for example, air conditioning of the vehicle and/or travel interruptions, in particular, prolonged stops. With the aid of such user-specific parameters, it is also possible to determine at least one loss parameter more accurately for each user.

The at least one wear parameter can be determined with high precision, in particular, from a combination of the journey parameter entered by the input device, the user-specific parameter stored in the storage device and the line-specific parameter retrieved from the internet, in particular the cloud.

In one embodiment, the loss parameter determining means and/or the selecting means each comprise one or more microprocessors on which is run a suitable program for determining at least one loss parameter or selecting a suitable vehicle from a fleet of vehicles.

In one embodiment, a single microprocessor is provided, which by means of at least one suitable program serves both as a wear parameter determination device and as a selection device.

In one embodiment, the loss parameter determination device and/or the selection device comprise suitable switching circuits, in particular application specific integrated circuits ("ASICs"), which are designed to provide the desired functionality of the loss parameter determination device or selection device.

In one embodiment, the loss parameter determination device and the selection device are formed in a central server.

In an alternative embodiment, the loss parameter determination device and the selection device are configured in a virtual cloud. In this way, the efficiency and reliability of the system can be further improved.

Drawings

An embodiment of the present invention is described in detail below with reference to the accompanying drawings.

The figure schematically shows a system 2 for optimizing the loss of

vehicles

24a, 24b, 24c of a fleet 22.

Detailed Description

Each of the

vehicles

24a, 24b, 24c of the fleet 22 includes at least one

sensor

26a, 26b, 26c configured to determine at least one parameter (vehicle parameter) of the

vehicles

24a, 24b, 24 c.

The vehicle parameter can be a current fill level of a

tank

30a, 30b or a battery 30c of the

respective vehicle

24a, 24b, 24c and/or a parameter related to a loss of the

vehicle

24a, 24b, 24c, such as a mileage of the

vehicle

24a, 24b, 24c, a parameter describing a state of health or a loss of the battery 30c of the vehicle 24c and/or a parameter describing a state of health or a loss of the

brake

32a, 32b, 32c of the

respective vehicle

24a, 24b, 24 c.

The state of health or state of wear of the battery 30c of the vehicle 24c, in particular of the vehicle 24c having the electric motor 25c, can be determined, for example, on the basis of the number of charging and discharging cycles experienced by the battery 30c to date and/or the service time of the battery 30c to date. Other parameters can also be taken into account, such as for example the ambient temperature which influences the service life of the battery 30 c.

The

sensors

26a, 26b, 26c are designed to transmit the parameters detected by these sensors 26a, 26b, 26 to the vehicle data receiving device 20.

The

sensors

26a, 26b, 26c can be designed to transmit the parameters directly to the vehicle data receiver 20 via the

wireless data connections

34a, 34b, 34 c.

Alternatively, a central

data transmission device

28a, 28b, 28c can be provided in each

vehicle

24a, 24b, 24c, which is designed to receive parameters provided by one or

more sensors

26a, 26b, 26c of the

vehicle

24a, 24b, 24c, for example by means of a cable connection or a radio connection in the vehicle interior, and to transmit them to the vehicle data reception device 20 by means of a

wireless data connection

34a, 34b, 34 c.

The

wireless data connection

34a, 34b, 34c can be realized, for example, via a mobile radio network, in particular based on the GSM, UMTS, LTE or 5G standards, via a local wireless network (WLAN) and/or via the internet.

The vehicle data receiving device 20 is connected to a memory device 18, which is designed to store parameters provided by the

sensors

26a, 26b, 26c in the

vehicles

24a, 24b, 24c and/or loss quantities calculated from these parameters.

At least one input device 6 enables the user 7 to receive parameters of a trip (trip parameters) planned with the

vehicles

24a, 24b, 24c of the fleet 22.

The at least one journey parameter entered into the input device 6 can comprise, inter alia, a starting point, an end point, a distance between the starting point and the end point and/or a probable duration of a journey planned with the

vehicles

24a, 24b, 24c of the fleet 22.

The input travel parameters can also optionally include, for example, the desired motor power and/or the size of the

vehicle

24a, 24b, 24c, the desired drive type (gasoline motor 25a, diesel motor 25b, electric motor 25c, or hybrid vehicle having both combustion motor 25a, 25b and electric motor 25 c), and/or comfort parameters of the

vehicle

24a, 24b, 24c, such as, for example, the desired temperature of the interior.

The input device 6 can also be designed to identify the user 7, for example by means of an access code, a fingerprint of the user, a face of the user, a voice of the user and/or other individualizing features, and to retrieve the driver profile of the user thus identified from the memory device 18. The driver profile can comprise the journey parameters which are usually entered by the identified user 7 and/or, for example, the user-specific permissions and/or restrictions for a particular vehicle or vehicle type, and driving characteristics of the user 7, for example, sporty or defensive driving characteristics.

The input device 6 is connected to a transmission device 10, which is designed to transmit at least one parameter input by the input device 6 via a data connection 12 to a travel data receiver 14.

The data connection 12 can be a wireless data connection 12, which can be realized, for example, by a mobile radio network based on the GSM, UMTS, LTE or 5G standards, a local wireless network (WLAN) and/or the internet.

The travel data receiver 14 can be integrated with the vehicle data receiver 20 as a

common receiver

14, 20.

In addition, the system 2 comprises a loss parameter determination device 15, which is designed to determine at least one loss parameter for the planned journey from the at least one received journey parameter.

The system 2 also comprises a selection means 16 configured to select

vehicles

24a, 24b, 24c from the platoon 22 that are suitable for the planned journey.

The selection device 16 is designed to select the

vehicles

24a, 24b, 24c from the vehicle fleet 22 on the basis of at least one loss parameter determined by the loss parameter determination device 15 and the vehicle parameters of the

vehicles

24a, 24b, 24c of the vehicle fleet 22 stored in the storage device 18 in such a way that the loss of the

vehicles

24a, 24b, 24c is distributed as evenly as possible over all the

vehicles

24a, 24b, 24c of the vehicle fleet 22.

The selection device 16 can be designed, for example, to select from the vehicle fleet 22 the

available vehicles

24a, 24b, 24c whose batteries 30c and/or their

brakes

32a, 32b, 32c, in particular brake linings, are currently worn the least in order to avoid further wear of the already more severely

worn vehicles

24a, 24b, 24 c.

The selection device 16 can also be configured to select the

available vehicles

24a, 24b, 24c from the fleet 22 in such a way that the state of wear of the selected

vehicles

24a, 24b, 24c approaches the calculated average value of the state of wear of all

vehicles

24a, 24b, 24c of the fleet 22 after the planned journey has been completed. This average can be, for example, an arithmetic average, a geometric average, or a median of the state of wear of all

vehicles

24a, 24b, 24c of the fleet 22.

The selection device 16 can be designed in particular such that

only vehicles

24a, 24b, 24c whose

tanks

30a, 30b are sufficiently full, in the case of

vehicles

24a, 24b having combustion motors 25a, 25b, or whose batteries 30c are sufficiently full, in the case of vehicles 24c having electric motors 25c, are selected from the fleet 22 in order to be able to carry out the planned journey without docking at a filling station or a charging station.

The selectable comfort parameters and/or driver profile of the current user 7 can also be taken into account more or less strongly in the selection. In particular, weighting parameters can be provided, which can be adjusted and the weighting of the individual parameters adjusted when selecting a vehicle.

The result of the selection by the selection device 16 is transmitted via a data connection 12 to an output device 8, which is designed to output or display information about the selected

vehicle

24a, 24b, 24 c. The information output or displayed by the output device 8 can contain, in particular, an official license plate of the selected

vehicle

24a, 24b, 24c, at least one image/photograph and/or at least one other unambiguous identification feature, in order to enable the user 7 to unambiguously identify the

vehicle

24a, 24b, 24c selected by the selection device 16 and use it for the planned journey.

In this way, the journey performed by the

vehicles

24a, 24b, 24c of the fleet 22 can be distributed over all the

vehicles

24a, 24b, 24c of the fleet 22 such that the

vehicles

24a, 24b, 24c are substantially evenly depleted. Thus, different maintenance intervals, different loss of value of the

vehicles

24a, 24b, 24c and possible necessary redistribution of the

vehicles

24a, 24b, 24c of the fleet between different premises/sites can be avoided.

The input device 6 and the output device 8 can be integrated together with the transmission device 10 into a common operating device 4, 5.

The operating device 4, 5 can comprise a touch screen, which can be used both as an input device 6 and as an output device 8.

A mobile telephone ("smartphone") and/or a "tablet computer" on which a suitable program ("App") is running can be used as mobile operating device 4.

Alternatively or additionally, the actuating device 4, 5 can also be designed as a stationary actuating device 5. The fixed actuating device 5 can be arranged in particular in the spatial vicinity of the selection device 16 or integrated with the selection device 16.

In the case of a fixed operating device 5, a cost-effective and reliable cable connection 15 can also be used instead of the wireless connection 12, in order to be able to transmit data between the operating device 5 and the selection device 16.

The loss parameter determination device 15 and the selection device 16 can be embodied together with the storage device 18, the travel data reception device 14 and the vehicle data reception device 20 in the central server 36 or as part of a virtual cloud 38.

The loss parameter determining means 15 and the selecting means 16 can comprise one or

more microprocessors

15a, 16a, respectively, which execute suitable programs for determining at least one loss parameter or selecting a

suitable vehicle

24a, 24b, 24c from the fleet 22.

It is also possible to provide a

single microprocessor

15a, 16a which, by executing at least one suitable program, can be used not only as a wear parameter determination device 15 but also as a selection device 16.

The loss parameter determination means 15 and/or the selection means 16 can also comprise

suitable circuits

15a, 16a, in particular application specific integrated circuits ("ASICs"), which realize the desired functions of the loss parameter determination means 15 and the selection means 16.

Claims

1. Method for optimizing losses in a fleet (22), wherein the method comprises the steps of:

(a) receiving at least one journey parameter for a journey planned with vehicles (24 a, 24b, 24 c) of the fleet (22);

(b) determining at least one loss parameter for the planned journey from the at least one received journey parameter;

(c) on the basis of the vehicle parameters of the vehicles (24 a, 24b, 24 c) of the platoon (22) and the at least one loss parameter, vehicles (24 a, 24b, 24 c) suitable for the planned journey are selected from the platoon (22) in such a way that the loss of the vehicles (24 a, 24b, 24 c) is distributed as evenly as possible over the vehicles (24 a, 24b, 24 c) of the platoon (22).

2. The method of claim 1, wherein the at least one journey parameter comprises a start point, an end point, a journey between a start point and an end point and/or a probable duration of the journey.

3. The method according to claim 1 or 2, wherein the at least one trip parameter comprises a desired vehicle size, a desired motor power or a desired internal temperature of the vehicle (24 a, 24b, 24 c).

4. Method according to any one of the preceding claims, wherein the vehicle parameters comprise a current filling level of a tank (30 a, 30 b) or a battery (30 c) of the respective vehicle (24 a, 24b, 24 c), a driving range and/or at least one loss parameter, in particular a state of health of the battery (30 c) and/or the brakes (32 a, 32b, 32 c).

5. The method according to any of the preceding claims, wherein the method additionally comprises the steps of: a defined driver (7) of the vehicle (24 a, 24b, 24 c) is identified, a driver profile of the identified driver (7) is called up, and the driver profile is taken into account when selecting the vehicle (24 a, 24b, 24 c).

6. The method according to any of the preceding claims, wherein the method additionally comprises the steps of: the parameters are determined during the journey and stored as user-specific parameters in a storage device (18).

7. The method according to claim 6, wherein the parameters determined during the journey comprise parameters characterizing individualized driving characteristics, parameters characterizing adjustments in/on the vehicle (24 a, 24b, 24 c) and/or parameters characterizing journey interruptions.

8. The method according to any of the preceding claims, wherein the method additionally comprises the steps of: during the journey, line-specific parameters are called from the internet, in particular from a virtual cloud (38).

9. A system (2) for optimizing losses in a fleet (22), wherein the system (2) comprises:

(A) at least one input device (6) configured to receive at least one journey parameter for a journey planned with vehicles (24 a, 24b, 24 c) of the fleet (22);

(B) a loss parameter determination device (15) which is designed to determine at least one loss parameter for the planned journey from the at least one received journey parameter;

(C) a storage device (18) configured to store vehicle parameters of different vehicles (24 a, 24b, 24 c);

(D) a selection device (16) which is designed to select a vehicle (24 a, 24b, 24 c) suitable for the planned journey from the vehicle platoon (22) on the basis of the at least one loss parameter and the vehicle parameters stored in the storage device (18) in such a way that the loss of the vehicle (24 a, 24b, 24 c) is distributed as evenly as possible to the vehicles (24 a, 24b, 24 c) of the vehicle platoon (22).

10. The system (2) according to claim 9, wherein the system additionally has at least one output device (8) which is configured to output information about the selected vehicle (24 a, 24b, 24 c).

11. The system (2) according to claim 9 or 10, wherein the system (2) comprises a sensor (26 a, 26b, 26 c) arranged in the vehicle (24 a, 24b, 24 c), the sensor being configured for determining a parameter of the respective vehicle (24 a, 24b, 24 c).

12. The system (2) according to any one of claims 9 to 11, wherein the system (2) comprises a central data transmission device (28 a, 28b, 28 c) in each vehicle (24 a, 24b, 24 c) configured to transmit the parameters of the respective vehicle (24 a, 24b, 24 c) to the selection device (16).

13. The system (2) according to one of claims 9 to 12, wherein the at least one input device (6) and/or the at least one output device (8) are part of a mobile operating device (4), in particular a smartphone or a tablet computer, and wherein the at least one input device (6) and/or the at least one output device (8) are configured for communicating with the selection device (16) via a wireless data connection (12).

14. The system (2) according to any one of claims 9 to 13, wherein the selection means (16) are configured in a virtual cloud (38).