WO2013174423A1

WO2013174423A1 - Method for selecting a vehicle

Info

Publication number: WO2013174423A1
Application number: PCT/EP2012/059542
Authority: WO
Inventors: Roland Brill
Original assignee: Siemens Aktiengesellschaft
Priority date: 2012-05-23
Filing date: 2012-05-23
Publication date: 2013-11-28
Also published as: EP2822804A1

Abstract

The invention relates to a method for selecting at least one vehicle (2, 3) from a multiplicity of electrically driveable vehicles (1, 2, 3, 4). In the method, in each case the size of a quantity of energy (EM1, EM2, EM3, EM4) which is stored in a traction battery of the vehicles (1, 2, 3, 4) is detected for the vehicles (1, 2, 3, 4) of the multiplicity, a length of a route section (FS) desired by a user and/or a travel time (FZ) desired by the user are/is detected and a size of a quantity of energy (EM) required for the desired route section (FS) and/or the desired travel time (FZ) are/is determined. The required quantity of energy (EM) is compared with at least one of the stored quantities of energy (EM1, EM2, EM3, EM4), and at least one vehicle (2, 3) in which the stored quantity of energy (EM2, EM3) is greater than or equal to the required quantity of energy (EM) is selected from the multiplicity (1, 2, 3, 4).

Description

description

Method for selecting a vehicle The invention relates to a method and an arrangement for selecting at least one vehicle from a plurality of electrically driven vehicles

An electrically powered vehicle includes an electric traction battery, which provides electrical energy for the Fortbewe ^¬ supply of the vehicle. If the Fahrbatte ^¬ rie is discharged, it must be recharged by means of a charging device. Such charging devices can be installed in a stationary manner, eg at a vehicle rental station, a vehicle fleet operator or a car-sharing provider.

Electric charging of traction batteries requires a considerable amount of charging time, which is generally much longer than the time required to refuel a gasoline or diesel powered vehicle. This comparatively long charging time is often bothersome, insbeson ^¬ particular when operating a plurality of electrically driven vehicles, eg for vehicle fleets or vehicle pools.

The invention has for its object to provide a method and an arrangement in which when operating a plurality of electrically driven vehicles, the state of charge whose traction batteries is taken into account.

This object is achieved by a method and an arrangement according to the independent claims. Advantageous embodiments of the method are indicated in the dependent patent claims from ^¬.

According to the invention, a method for selecting at least one vehicle from a plurality of electrically driven vehicles, wherein in the method for the vehicles of the plurality, in each case the size of an amount of energy stored in a driving battery of the vehicles is detected,

a length of a travel route desired by a user and / or a travel time desired by the user (for an electrically drivable vehicle) are detected,

determining a quantity of energy required for the desired route and / or the desired travel time,

- the amount of energy required is compared with at least one of the vomit ^¬ cherten amounts of energy, and

- Is selected from the plurality of at least one vehicle, in which the stored amount of energy is greater than or equal to the required amount of energy. (The required amount of energy is thus compared with one or more of the stored amounts of energy, the required amount of energy can also be compared with all stored amounts of energy.)

This method is advantageous in that only those vehicles are selected from the plurality of electrically driven vehicles, the amount of energy stored is suffi ^¬ accordingly for the desired by the user distance or driving time. Thus, the driving battery of these selected vehicles for the desired route or time does not need to be recharged, so that one of the selected vehicles can be used in a time-saving and comfortable manner.

The method can run in such a way that a departure time (for a vehicle) desired by a user is detected, and from the plurality at least one vehicle is selected in which the stored energy amount is greater than or equal to the required amount of energy at the desired departure time. This variant of the method can advantageously be used especially when the vehicle is not to be used immediately, ie when the desired travel time lies in the future. The method can also be designed such that for the vehicles of the plurality a respective size of the amount of energy stored for the desired departure time is determined by using the size of the detected amount of energy and using at least one parameter that describes a charging process of the traction battery. In this variant of procedural ^¬ proceedings can advantageously without losing time, a charging process takes place when the desired departure time is in the future. Based on the size of the stored amount of energy that was detected for each vehicle and on the basis ^¬ least one characteristic of the charging process (such Kenn ^¬ size is, for example, the charging power in watts or the charging time in hours) can advantageously the size of the desired departure time each stored amount of energy in the traction batteries of the respective vehicles are determined and used for the selection.

The method may also run such that for at least two vehicles of the plurality each (at least) an availability period is detected, at which the respective vehicle is available for a journey, and / or for the at least two vehicles of the plurality respectively ( at least) an available ^¬ keits route is detected, for which the respective vehicle is available for a ride, the desired route, the desired travel time and / or the desired departure time with the availability routes and / or the availability periods compared be selected, and from the plurality of at least one vehicle, which is available for the desired departure time for the desired route and / or for the desired travel time and at the desired departure time, the stored energy amount is greater than or equal to the required amount of energy ^¬ th. In this variant of the process ^¬ considered to advantageously also the times to de ^¬ nen vehicles are available for each of rides (availability periods) and / or the routes for which the vehicles are each trips available (availability Stretch) . This can be taken into account when a vehicle is already for a certain period of time User is reserved or if certain vehicles may only be driven on certain routes (for example, short-haul routes only). The availability route may also describe an availability area, ie an area in which the vehicle may be used (eg a city area, a federal state, a country or the like).

In the method, the size of the required amount of energy can be determined so that the required amount of energy includes a reserve amount of energy. In other words, a quantity of reserve energy is added to the size of the initially determined required amount of energy. In this case, the reserve amount of power for example, a reserve for an unexpected additional energy consumption. By adding a backup power amount to the amount of energy needed a special ^¬ DERS safe procedure is achieved, because an unexpected additional energy consumption (by means of these backup power amount as for example by a unpredictable diversion due to a construction site or due to an unexpectedly higher energy consumption per route of the electrically driven

Vehicle can occur due to unexpected cold weather) can be compensated from ^¬ .

The method may also be such that from the plurality of vehicles (preferred) at least one vehicle is selected in which the traction battery is only partially charged (ie in which the traction battery is not fully charged). It is particularly advantageous that this vehicle or these vehicles for the desired route and / or driving time can be used, although their traction batteries are not fully charged ^¬ constantly. As a result, those vehicles are selected which have already consumed part of the amount of energy originally stored in their drive battery (for example due to preceding driving operation) and yet do not need to be recharged for the desired driving route or driving time. As a result, loading operations can be saved, ie the number of loading operations can be reduced. This results in a time saving, for other, the number of charging processes occurring in total for the Fahrbatte ^¬ rien is reduced. The latter is the semi ^¬ particularly advantageous because each loading operation will constitute Be ^¬ utilization of the traction battery and phenomena to Alterungser- in the traction battery leads. Through the reduced copy ^¬ tion of the number of loads driving affected battery can be used longer.

The method may also run such that for at least one vehicle of the plurality of times the size of the amount of energy stored in the drive battery of the vehicle is detected. As a result, changes in the stored amount of energy can be detected. By this (eg staggered) multiple Er ^¬ tion of the size of each stored in the traction batteries of the vehicles amount of energy can be advantageously ^¬ he be known if this stored amount of energy is smaller (for example, by self-discharge at long ^{standstill ¬} the vehicles) or if this amount of energy is greater (for example, by an interim charging).

The method may be configured such that by means of an output unit in each case an identifier of the selected driving ^¬ zeugs or the selected vehicles is outputted. By means of this output unit, for example, a potential user of a vehicle or one for the distribution of the

Inform vehicles of the selected vehicle or vehicles.

According to the invention, an arrangement for carrying out the method described is furthermore provided. Such an ^arrangement has the same advantages as stated above in connection with the method.

In the following the invention will be explained in more detail by means of exemplary embodiments. This is in

Figure 1 shows an embodiment of an arrangement for

Select vehicles from a plurality of Vehicles, in

Figure 2 shows a first embodiment of a method for

Selecting vehicles from a plurality of vehicles, in

Figure 3 shows a second embodiment of a method for selecting vehicles, in

Figure 4 shows a third embodiment of a method for selecting vehicles, in

Figure 5 shows a fourth embodiment of a method for selecting vehicles, in

Figure 6 shows a fifth embodiment of a method for selecting vehicles, and in

FIG. 7 shows a sixth exemplary embodiment of a method for selecting vehicles.

1 shows schematically a first electrically drivable vehicle 1, a second electrically drivable vehicle 2, a third electrically drivable vehicle 3 and a four ^¬ th electrically drivable vehicle 4 are shown. The first electric automobile 1 has a first electrical ^¬ specific traction battery 6, the second electric automobile 2 includes a second electrical driving battery 8, the third electric automobile 3 has a third electrical traction battery 10 and the fourth

electric automobile 4 has a fourth electrical ^¬ specific traction battery 12th

The electrically driven vehicles 1, 2, 3 and 4 form a plurality of electrically driven vehicles, for example a vehicle fleet of a vehicle rental company. In other For example, the vehicles may also represent a different plurality of vehicles, for example a so-called car-sharing pool (ie a quantity of vehicles that can be rented by registered subscribers if required). Of course, in other embodiments, a plurality of vehicles may consist of a different number of vehicles.

The amount of energy stored in the traction batteries 6, 8, 10 and 12 of the vehicles 1, 2, 3 and 4 is detected by means of a first detection device 18. The first detection device 18 acquires measured values for the size of the respectively stored amount of energy and forwards these values to a first data memory 22. In this first data memory 22, the values are stored in memory locations 24 for storing the size of the stored amounts of energy. In the exemplary embodiment, it is shown that a first value EMI, which corresponds to the size of an amount of energy stored in the first drive battery 6 of the first electrically drivable vehicle 1, is stored in one of the memory locations 24 (arrow 25). Similarly, a second value is detected for the size of EM2 ge ^¬ stored amount of energy in the second driving battery 8 and stored in a further SpeI ^¬ cherplatz of the memory locations 24 (arrow 26). In the same way, a third value EM3 is written to the memory locations 24, wherein the third value EM3 describes the amount of energy stored in the third drive battery 10. Similarly, a fourth value EM4, which be ^¬ writes the size of data stored in the fourth driving battery 12 of the fourth electrically driven vehicle 4 amount of energy registered in the memory locations 24th

The first detection device 18 can be realized, for example, as part of a charging device for traction batteries. With this charging device, the electrically driven vehicles are electrically connected, for example by means of a cable, as soon as the vehicles are returned at a Betrei ^¬ about the vehicle fleet. About these electrical connection, for example, the size of the amount of energy stored in the first drive battery 6 is detected and the value EMI for this size is written in one of the memory locations 24 (arrow 25).

In the first data memory 22 more memory locations are arranged: storage locations 27 for storing durations of availability periods, storage locations 29 for storing availability routes, storage locations 31 for storing the size of the maximum speicherba ^¬ ren in a traveling battery amount of energy as well as memory locations 35 for storing identifiers (IDs) of electrically driven vehicles.

In the memory locations for availability periods 27, a first availability period may for the first electric automobile 1 are stored VZ1, for the second electric automobile 2, a second Verfüg ^¬ barkeitszeitraum VZ2, the third vehicle 3, a third availability period VZ3 and the fourth vehicle 4 a fourth availability period VZ4. In the memory locations for availability lines 29 may for the first vehicle 1, a first availability route VS1, for the second vehicle 2 a second availability route VS2, for the third driving ^¬ generating 3 shows a third availability route VS3 and for the fourth vehicle 4, a fourth availability route VS4 abge ^¬ stores. In the memory locations of the maximum storable amount of energy 31 may be used for the first vehicle 1, the size of the memory ^¬ cash maximum in the first driving battery 6 first amount of energy ME1, for the second vehicle 2, the size of the maximum storable in the second driving battery 8 second amount of energy ME2, for the third vehicle 3, the size of the maximum energy storable in the third drive battery 10 third energy amount ME3 and for the fourth vehicle 4, the size of the maximum in the fourth drive battery 12 storable fourth energy quantity ME4 are stored. In the SpeI ^¬ cherplätzen for the identifiers 35 may for the first vehicle 1, a first identifier KE1, for the second vehicle 2 a second identifier KE2, for the third 3, a third vehicle Identifier KE3 and for the fourth vehicle 4 a fourth identifier KE4 are stored.

Furthermore, a second data storage 50 is shown, WEL rather a space 52 for the size of a required amount of energy, a storage location 54 for a desired trip time, a space 56 for a desired travel distance and a space 58 for a desired From ^¬ driving time has. By means of a second detection device 62, a travel time desired by a user 64 can be selected

(In particular, a driving time) are detected. A value FZ for this desired travel time is then written into the memory location 54 of the second data memory 50. In addition, by means of the second detection device 62, a travel route desired by the user 64 and / or a desired departure time can be detected. A value FS for this desired route can then be written into the memory location 56 and / or a value AZ for the desired departure time can be written into the memory location 58 of the second data memory 50.

The second detector 62 may be configured as a user interface (HMI) at which the user 64 may input data. For example, the second detection device 62 may be configured as a keyboard, as a touch screen, a computer mouse, a joystick or the like. From the value of FZ for the desired travel time, the size of an EM Benö ^¬ saturated amount of energy is calculated by means of a data processing unit 70 and written into the memory 52 (stored). The calculation of the size of the required amount of energy EM can proceed so that the ^¬ be urged amount of energy is calculated by means of a known time-based average energy consumption of vehicles, and the desired travel time. However, other variables can also be included in the calculation of the required amount of energy. go, for example, the outside temperature. (From the level of the outside temperature can be determined, for example, whether in the vehicle, the heater or the air conditioning is turned ^¬ who will, which requires additional energy.)

Alternatively, you expect to use for the ride amount of energy he ^¬ averages can also be via the desired route FS. This can be done, for example, by multiplying the length of the desired route by a known average route-related energy consumption of the vehicles. In this determination of Need Beer ^¬ saturated amount of energy and other sizes can be included, for example, on the route to überwin ^¬ Dende height difference or the traffic situation (eg traffic jams or road). (Values WG of such further variables can be stored in the second data memory 50 in memory locations 71. These memory locations thus provide memory locations

71 for values of external influencing variables.) In another example, the size of the required amount of energy can also be determined from the desired travel time and the desired driving distance. In this case, for example, from the running distance ^¬ a first rough value for the required amount of energy are determined, and based on the desired travel time (the at ^¬ play conclusions about the average speed rate-enabled) This coarse value to be clarified.

Determining the need for the desired travel time and / or driving distance amount of energy is carried out by the Datenverarbei ^¬ processing unit 70th For this purpose, the required values of the second data memory 50 are transferred to the data processing unit 70, there is determined the required Ener ^¬ giemenge, and the result (the value of the required energy amount) back to the second data memory 50 transmit and there in the space 52 enrolled.

With the data processing unit 70 is an output unit

72 electrically connected. At the output unit 72, for example, the values stored in the data memories or those of the data processing unit 70 determined values are output. In particular, the Ken ^¬ voltages KE of the electrically driven vehicle can be outputted to the output unit 72nd The output unit can be configured for example as an electronic display unit, a monitor or a loudspeaker ^¬ cher.

The first data memory 22, the second data memory 50, the data processing unit 70 and the output unit 72 can be realized, for example, by a computer. Since ^¬ are realized in, the first data memory 22 and the second Datenspei ^¬ cher 50 by a hard disk and / or a memory, the data processing unit 70 through a processor, and the output unit 72 through a monitor.

In the following, exemplary embodiments of the method for selecting vehicles are presented.

Example 1 :

With reference to Figure 2, an embodiment of the method will be described. By means of the first detection device 18 is detected (arrow 200) that in the first drive battery 6 of the first vehicle 1, a stored amount of energy with the size 10 kWh is present (EMI = 10 kWh). Likewise, the first detection device 18 (arrow 202) detects that a stored amount of energy of the size 18 kWh is present in the second drive battery 8 (EM2 = 18 kWh). Furthermore, the first detection device 18 (arrow 204) detects that there is a stored amount of energy of the size 30 kWh in the third traction battery 10 (EM3 = 30 kWh). The first ^detection device 18 (arrow 206) also detects that a stored quantity of energy of the size 14 kWh is present in the fourth drive battery 12 (EM4 = 14 kWh).

By means of the second detection device 62 is detected (arrow 210) that the user 64 travel a distance of 100 km with an electrically driven vehicle would like (FS = 100 km). This value of the desired route FS is stored in the memory 56. This value of the desired travel route FS is then transmitted from the second data memory 50 to the data processing unit 70. The data processing unit 70 determines the desired travel distance FS as well as a previously known average distance-related energy consumption (which in the exemplary embodiment is 15 kWh per 100 km driving distance) required amount of energy EM. The size of the required amount of energy EM is determined as follows:

EM = FS ^■ 15kWh1100km + Re serve energy

The reserve energy amount is a size that represents a reserve for an unexpected energy consumption. It therefore represents a safety margin added to the amount of energy required due to the average energy consumption. In the embodiment the Reser ^¬ veenergiemenge 10% calculated on the basis of the travel route energy amount. (In another embodiment, however, the amount of reserve energy may also assume a fixed amount of energy, eg 5 kWh.) Thus, the required amount of energy is as follows: EM = (100km ^■ 15kWh / l 00km) + 0.1 (100km ^■ 15kWh1100km) = \ 6.5kWh

The required amount of energy therefore has the value 16.5 kWh.

The data processing unit 70 then compares the required amount of energy (EM = 16.5 kWh) with the stored energy ^¬ amounts of EMI, EM2, EM3 and EM4. In this comparison, the data processing unit 70 selects those vehicles in which the stored energy amount EMx is greater than or equal to the required amount of energy EM. In the exemplary embodiment, this is the case for the second vehicle 2 (EM2 = 18 kWh> 16.5 kWh) and for the third vehicle 3 (EM3 = 30 kWh> 16.5 kWh). The data processing unit 70 thus selects the second vehicle 2 and the third vehicle 3 from the plurality of Vehicles 1, 2, 3 and 4 off. Then, the Datenverar ^¬ beitungseinheit 70 outputs the identifier of the second vehicle 2 KE2 and KE3 the identifier of the third vehicle 3 by means of the output unit 72 (arrow 212). The identifiers KE2 and KE3 of these two vehicles are output by means of the output unit for the user 64, who can then select one of the two vehicles to start his journey.

In the exemplary embodiment, the vehicles 1 to 4 have an equal average route-related energy consumption of 15 kWh / 100 km (specific energy requirement per route). Therefore, we compared the required amount of energy EM with the stored amounts of energy EMI, EM2, EM3 and EM4 of these 4 vehicles. In another exemplary embodiment, the vehicles may also each have different route-related energy consumption. Then, the size of a (vehicle- ^{individual ¬} len) required amount of energy is determined for each vehicle. This required (fahrzeugindi ^¬ vidual) amount of energy is then compared with the size of the stored amount of energy of this vehicle.

In yet another embodiment, the plurality of vehicles may include separate groups of vehicles in which the vehicles of a group each have an equally large (group-specific) route-related energy consumption. Then, the amount of energy required for a vehicle of a group is compared only with the stored amounts of energy of the vehicles of that group.

Example 2:

A further embodiment of the Ver ^¬ driving will be described with reference to FIG. 3 The initial state corresponds to that of Example 1 (EMI = 10 kWh, EM2 = 18 kWh, EM3 = 30 kWh, EM4 = 14 kWh, FS = 100 km, EM = 16.5 kWh). In addition, the user 64 inputs to the second detector 62 that he wishes to start driving at 15:00. The second Erfas ^¬ sungseinrichtung 62 detects (arrow 302) the overall user- Wished departure time (AZ = 15:00); From the desired ^¬ driving time of AZ is stored in the memory 58th

The following availability periods are stored in the memory locations 27 for the individual vehicles: VZ1> 10:00 clock, VZ2> 14:00 clock, VZ3> 16:00 clock, VZ4> 18:00 clock. (This means: The first vehicle 1 is available from 10:00 clock, the second vehicle 2 is available from 14:00 clock, the third vehicle 3 is available from 16:00 clock and the fourth vehicle 4 is available from 18:00 clock available.)

The data processing unit 70 then compares the required amount of energy (EM = 16.5 kWh) with the stored energy ^¬ amounts of EMI, EM2, EM3 and EM4. In this case - as in Example 1 - the second vehicle 2 and the third vehicle 3 selected out ^¬ . In addition, the data processing unit 70 compares the departure time AZ = 15:00 with the availability period VZ2 of the second vehicle 2 and with the availability time ^¬ space VZ3 of the third vehicle 3. It is recognized that only the second vehicle 2 at 15:00 clock available is (the third vehicle 3 is only possible from 16:00 to Ver ^¬ addition). Then, the data processing unit 70 selects the second vehicle 2. Thereafter, the identifier KE2 of the two ^¬ th vehicle 2 is outputted by the output unit 72, arrow 304th

Example 3:

A further exemplary embodiment of the method will be described with reference to FIG. In example 2 it was assumed that the stored amounts of energy EMI, EM2, EM3 and EM4 are available at the departure time (AZ = 15:00 h). In example 3, the case now arises that the user 64 has his desired departure time (AZ = 15:00 clock) already recorded at 14:00 clock at the second detection device 62. Between detection time and desired departure ^¬ time so there is a time difference of one hour. During this one hour, the traction batteries of the electrically driven vehicles are charged, since they are connected in the embodiment to a charging device. In the exemplary embodiment 3, the following values are recorded at 14:00: EMI = 0 kWh (arrow 400), EM2 = 8 kWh (arrow 402), EM3 = 20 kWh (arrow 404), EM 4 = 4 kWh (arrow 406). All four traction batteries are charged in the embodiment with a charging power of 10 kW. In the time difference (1 hour), therefore, the amount of energy stored in the traction batteries is increased by 10 kWh. The charging line (10 kW) represents a characteristic of the charging process. Based on this parameter, which describes the charging process of the battery, as well as on the basis of 14:00 clock ge ^¬ stored energy quantities (EMI = 0 kWh, EM2 = 8 kWh, EM3 = 20 kWh, EM 4 = 4 kWh) determines the data processing unit 70, the size of (the desired departure time 15:00 hours) ge ^¬ stored amount of energy: EMI = 0 kWh + 10 kWh = 10 kWh, EM2 = 8 kWh + 10 kWh = 18 kWh, EM3 = 20 kWh + 10 kWh = 30 kWh, EM 4 = 4 kWh + 10 kWh = 14 kWh. Thus, energy samples of the same size stored in example 3 at 3:00 pm are as in example 1 or in example 2. The further procedure therefore ^corresponds to the procedures of example 1 or example 2. In a further course as in example 1 the second vehicle 2 and the third vehicle 3 selected, arrow 212. In a further course as in Example 2, the second vehicle 2 is selected.

Example 4:

A further exemplary embodiment of the method will be described with reference to FIG. The initial situation corresponds to that of Example 1 (EMI = 10 kWh, EM2 = 18 kWh, EM3 = 30 kWh, EM4 = 14 kWh, FS = 100 km, EM = 16.5 kWh). In addition, a departure time of 15:00 clock (arrow 500) and a desired travel time of one hour was detected, arrow 502 (AZ = 15:00 clock, FZ = 1 h). The availability periods for the vehicles lau ^¬ th:

VZ1: 10:00 to 18:00, VZ2: 10:00 to 14:00, VZ3: 00:00 to 24:00, VZ4: 11:00 to 13:00. In this example, the data processing unit again first compares the required amount of energy EM = 16.5 kWh with the stored amounts of energy EMx. In this case, the second vehicle 2 and the third vehicle 3 are selected because their stored amounts of energy are greater than the required amount of energy. The data processing unit 70 then compares the time period resulting from the departure time (3:00 pm) and the desired travel time (1 hour), ie the period "3:00 pm to 4:00 pm" with the availability periods VZ2 and VZ3. In this comparison, the data processing unit 70 determines that only the third vehicle 3 (having an availability period from 00:00 to 24:00) is available from 15:00 to 16:00, while the second vehicle 2 has one available ^¬ keitszeitraum VZ2 10:00 to 14:00 on, that is between 15:00 to 16:00 not available. then the data processing unit 70 selects only the third driving ^¬ convincing 3 and returns its ID to KE 3 the output unit 72, arrow 504.

Example 5:

A further exemplary embodiment of the method will be described with reference to FIG. The initial situation corresponds again to that of Example 1 (EMI = 10 kWh, EM2 = 18 kWh, EM3 = 30 kWh, EM4 = 14 kWh, FS = 100 km, EM = 16.5 kWh). In example 5, availability links VSx are stored in the first data memory 22. For the first vehicle 1 is stored that this vehicle only for short distances (ie, less than 50 km in the out ^¬ guidance for distances) used ^¬ the must (VS1 <50 km). This vehicle is only intended for urban traffic. This restriction is also provided for the third vehicle 3 and for the fourth vehicle 4 (VS3 <50 km, VS4 <50 km). Only the second vehicle 2 is also intended for overland routes and may be used for distances of up to 200 km (VS2 <200 km). Also in this embodiment, the data Processing unit 70 in a known manner by Ver ^¬ equal to the required amount of energy EM with the stored amounts of energy EMx that only the second vehicle 2 and the third vehicle 3 are suitable for the desired ride and selects the second and the third vehicle. Then ver ^¬ compares the data processing unit 70, the desired driving ^¬ route (FS = 100 km) with the availability of routes VSx and determines that only the second vehicle 2 is suitable for this ge ^¬ desired route (VS2 <200 km). Then, the data processing unit 70 selects only the second driving ^¬ generating 2; the identifier KE2 of the second vehicle 2 is output at the output unit 72, arrow 602.

Example 6:

A further embodiment of the Ver ^¬ driving will be described with reference to FIG. 7 The initial situation corresponds to that of Example 1 (EMI = 10 kWh, EM2 = 18 kWh, EM3 = 30 kWh, EM4 = 14 kWh, FS = 100 km, EM = 16.5 kWh). In addition, 22 is in the first data memory is stored, that the first driving ^¬ battery 6, the second driving battery 8, the third Fahrbatte ^¬ rie 10 and the fourth driving battery 12 each have a maximum amount of energy of 30 kWh (ME1 = ME2 = ME3 = ME4 = 30 kWh). From the values of the stored energy quantities EMx and the values of the maximum energy quantities MEx, the data processing unit determines that the first traction battery 6 is charged to 33% (stored energy amount EMI = 10 kWh, maximum energy quantity ME1 = 30 kWh, consequently the first traction battery 6 is charged to 33%). In the same way, the data processing unit 70 determines that the second

Tractor 8 to 60%, the third traction battery 10 to 100% and the fourth traction battery 12 is charged to 47%.

The data processing unit 70 thereafter determines in a known manner that only when the second vehicle 2 and in the third vehicle 3, a sufficiently large energy ^¬ amount is stored. Furthermore, the Datenverarbei ^¬ processing unit 70 selects those vehicles in which the Fahrbat- terie is only partially charged. In this case, the driving battery 8 of the second vehicle 2 is only partially aufgela ^¬ (namely, only 60%), during which the driving battery 10 of the third vehicle 3 is fully charged (100%). So, the data processing unit 70 selects the second one

Vehicle 2 and outputs its identifier KE2 means of Ausga ^¬ unit 72, arrow 702. The variant of Example 6 has the advantage that the second driving ^¬ convincing with the only partially charged second traction battery 8 is selected for the desired ride. In contrast, the third vehicle 3 is related to the fully charged traction battery 10 for a different journey (in which a larger amount of energy is required) wei ^¬ terhin available. This keeps the vehicles with the fully charged traction batteries available for other driving purposes, which improves overall vehicle utilization.

In all the examples mentioned, the amount of energy stored in the traction batteries of the vehicles can be recorded several times. (For example, the acquisition can be repeated at regular intervals, for example, once per hour.) Detection can be repeated even when the battery is being charged or when a vehicle is being moved.) Changes in the amount of stored energy will be added the individual traction batteries reliably detected.

A method and arrangement has been described for selecting vehicles from a plurality of electrically powered vehicles. This method and this arrangement can be used particularly profitably in electrically driven vehicles that have no fast changeable traction battery. In fact, in these vehicles, the usability is significantly dependent on the state of charge of the battery (that is, on the amount of energy stored in each case in the vehicle's running battery). Since charging the traction battery takes time, the vomit ^¬-assured in the traction battery of the vehicles amount of energy must, in particular in the management of vehicle convincing fleets or car pools (for example, in Mietfahr witness ^¬ or the so-called car-sharing) are considered. The described method and the described Anord ^¬ voltage are eg used in the management of electric vehicle fleets and take into account the state of charge of the traction battery in the selection of individual vehicles. For this, the state of charge of the individual traction batteries z. B. recorded after the vehicle return at a lending station. Prior to selection of a vehicle and assignment of this vehicle to a new driver, for example, the desired travel time and / or the desired route are recognized, and then determines the Benö ^¬ preferential amount of energy. In determining the benötig ^¬ th amount of energy further additional data or if necessary - information to be included. The selected vehicles can then be assigned or assigned to a user. Based on data stored in procedures, statistical optimizations can be made in the vehicle management that may be effective for the future.

A method and an arrangement has been described which make it possible to select those vehicles with which the desired travel can be carried out in a time-saving and comfortable manner (in particular without the user having to carry out an additional charging process), particularly in fleets of electrically drivable vehicles.

Claims

claims

A method of selecting at least one vehicle (2, 3) from a plurality (1, 2, 3, 4) of electrically powered vehicles, wherein in the method

for the vehicles (1, 2, 3, 4) of the plurality, respectively the size of a quantity of energy stored in a driving battery of the vehicles (EMI, EM2, EM3, EM4) is detected,

a length of a travel distance (FS) desired by a user and / or a travel time (FZ) desired by the user are detected,

- a size needed for the desired route and / or the desired amount of energy travel time (EM) is ermit ^¬ telt,

- The required amount of energy (EM) is compared with at least one of the stored amounts of energy (EMI, EM2, EM3, EM4), and

- Of the plurality (1, 2, 3, 4) at least one vehicle (2, 3) is selected, in which the stored amount of energy (EM2, EM3) is greater than or equal to the required amount of energy (EM).

2. The method according to claim 1,

d a d u r c h e c e n c i n e s that

a user-requested departure time (AZ) is detected, and

- Is selected from the plurality (1, 2, 3, 4) at least one vehicle (2), in which the desired amount of time (AZ) the stored amount of energy (EM2) is greater than or equal to the required amount of energy (EM).

3. The method according to claim 1 or 2,

d a d u r c h e c e n c i n e s that

for the vehicles (1, 2, 3, 4) of the plurality, a respective size of the amount of energy stored at the desired time of departure (EMI, EM2, EM3, EM4) is determined by using the amount of energy detected and using min. least one parameter which describes a loading operation of the Fahrbatte ^¬ RIE.

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

d a d u r c h e c e n c i n e s that

- for at least two vehicles of the plurality (1, 2, 3, 4) each ^¬ weils an availability period (VZ1, VZ2, VZ3, VZ4) ER is touched, to the (each vehicle 1, 2, 3, 4 ) is available for a journey, and / or for the at least two vehicles of the plurality (1, 2, 3, 4) in each case an availability route (VS1, VS2, VS3, VS4) is detected, for which the respective vehicle (1 , 2, 3, 4) is available for a ride,

the desired route (FS), the desired journey time (FZ) and / or the desired departure time (AZ) with the availability routes (VS1, VS2, VS3, VS4) and / or the availability periods (VZ1, VZ2 , VZ3, VZ4), and

- From the plurality (1, 2, 3, 4) at least one vehicle (2) is selected, which at the desired departure time (AZ) for the desired route (FS) and / or for the desired travel time (FZ) is available and at at the desired departure time (AZ) the stored amount of energy (EM2) is greater than or equal to the required amount of energy (EM).

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

d a d u r c h e c e n c i n e s that

- The size of the required amount of energy (EM) is determined so that the required amount of energy includes a reserve energy ^¬ quantity.

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

d a d u r c h e c e n c i n e s that

- Of the plurality (1, 2, 3, 4) of the vehicles at least one vehicle (2) is selected, in which the traction battery (8) is only partially charged.

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

characterized in that - For at least one vehicle of the plurality (1, 2, 3, 4) multiple times the size of the stored in the battery of the vehicle ^¬ chererten energy amount (EMI, EM2, EM3, EM4) is detected.

8. The method according to any one of the preceding claims, d a d u r c h e c e n e c e in that e

- By means of an output unit (72) in each case an identifier (KE2) of the at least one selected vehicle (2) is issued out ^¬ .

9. Arrangement for carrying out the method according to one of claims 1 to 8.