WO2018046362A1

WO2018046362A1 - Method and control device for the open-loop and/or closed-loop control of an exhaust-gas aftertreatment system in a vehicle

Info

Publication number: WO2018046362A1
Application number: PCT/EP2017/071726
Authority: WO
Inventors: Michael Pfeil; Vincent Teichmann; Magnus Labbe; Jens Damitz
Original assignee: Robert Bosch Gmbh
Priority date: 2016-09-06
Filing date: 2017-08-30
Publication date: 2018-03-15
Also published as: DE102016216892A1; CN109661509A; EP3510263A1; KR20190044092A

Abstract

The invention relates to a method and a control system for the open-loop and/or closed-loop control of an exhaust-gas aftertreatment system of an internal combustion engine arranged in a vehicle, in particular of a discontinuously operating exhaust-gas aftertreatment component, with regenerations and/or diagnostic operations controlled in open-loop fashion by a control device, wherein the control device is fed with information data, on the basis of which the regenerations and/or diagnostic operations are controlled in open-loop and/or closed-loop fashion, wherein: a) based on the information data, possible destinations for the stoppage of the vehicle are predicted, b) during travel, the arrival at at least one of the possible destinations is determined repeatedly by determining times and/or distances until said destination is arrived at, c) based on the information data, a possible stoppage duration at at least one of the possible destinations is predicted, d) the stoppage is graded as "relevant" if particular criteria are met, for example an exceedance of a minimum stoppage duration, and the arrival at the destination is incorporated into a regeneration plan (14) of the discontinuously operating exhaust-gas aftertreatment component.

Description

Description title

Method and control device for controlling and / or regulating an exhaust aftertreatment system in a vehicle

State of the art

The invention relates to a method for controlling and / or regulating an exhaust aftertreatment system arranged in a vehicle

Internal combustion engine, in particular a discontinuously operating

Exhaust gas aftertreatment component, with regenerations and / or diagnoses controlled by a control device, wherein the control device is supplied with information data, with the consideration of which

Regenerations, diagnoses and / or certain memory target states are controlled and / or regulated, and a control device for

Implementation of the procedure.

Currently, there are increasing developments with the aim of optimizing control concepts for exhaust aftertreatment systems of motor vehicles, taking external constraints into account. Thus, storage components such as e.g. NOx storage catalytic converters and / or soot particle filters in driving operation within a certain period of time their storage capacity limit and must be regenerated in order to restore the storage capacity. The

Regeneration then takes place under certain boundary conditions, for example in the case of rich operation and / or above a certain temperature level in the storage component. Under certain conditions, it is not possible to perform a regeneration, for example, immediately after a cold start due to low temperatures in the exhaust system.

Also, other, continuously working components more active

Exhaust aftertreatment, such as Selective Catalytic Reduction (SCR) catalysts, or three-way catalysts have different storage properties Properties, in turn, of operating parameters and / or the

Depend on the aging condition of the component. For example, an SCR catalyst has a strong temperature-dependent storage capacity for

Ammonia (NH3) and a three-way catalyst an oxygen storage capacity (O2). The current level of NH3 or O2 is also important for the conversion capability and the robustness of the

Conversion process with regard to pollutant emissions. Accordingly, it is also advantageous for this component to have set a specific memory state at an engine restart.

An SCR catalyst has e.g. a decreasing temperature increasing NH3 storage capacity, so can keep the Nh memory contents until the next start with the engine stopped and the assumption then further decreasing SCR catalyst temperature. This is advantageous insofar as it is initially not possible to meter in NH 3 at low exhaust gas and SCR catalyst temperatures, but it is nevertheless possible to use the conversion in the catalyst with NH 3 present at an already lower temperature. Until reaching this

Minimum temperature for the dosage thus depends on the conversion rate of the SCR catalyst strongly from the still stored amount of NH3.

Accordingly, a deliberately influenced before the predicted engine shut high Nh level the pollutant emissions in a

improve subsequent driving cycle.

In addition, diagnostics are increasingly being used to ensure the functionality of exhaust aftertreatment components. These can often also be carried out only under certain boundary conditions, for example when the engine is switched off.

Various methods are known from the prior art, such operating modes, in particular regenerations, depending on the expected

Plan operating conditions and thus set a suitable period for their implementation. Goal is z. B., an intervention in the engine operation to maintain the regeneration conditions or a termination of a regeneration, for. B. at an engine stop, as possible to avoid. For example, in DE 10 2008 025 569 AI z. B. due to

Telematics, active navigation or detection of a route already traveled a prediction of future operation of a

Engine created and a functional system, such as a

Particulate filter or NOx storage catalyst, regulated and / or controlled taking into account the prognosis. An actual target distance can also be predicted. Information about regularly used same

Routes, z. As the drive to the workplace, are stored and later recognized.

In DE 10 2008 008 566 AI it is provided for the preparation of the prognosis u.a. the date and time of the journey or driver-specific data

involve. In this case, the driver is identified by means of identification, for. B. with the detection of his key, and then this identification during the journey due to its driving behavior (speed, acceleration, etc.) plausibility.

The present invention has for its object to further optimize the control and / or regulation of an exhaust aftertreatment system and thus to further improve their functionality.

DISCLOSURE OF THE INVENTION This object is achieved by a method and a control device for controlling and / or regulating an exhaust aftertreatment system in accordance with the

In this case, it is provided for the method that information data is supplied to a control device, under the consideration of which diagnoses, regenerations or specific desired storage states of the exhaust gas aftertreatment system are controlled, wherein:

a) on the basis of the information data, possible destinations for stopping the

Vehicle to be predicted b) repeatedly determining the achievement of the goal of at least one of the possible destinations by determining times and / or distances before reaching it,

c) based on the information data, a possible shutdown period at at least one of the possible destinations is predicted

d) the parking on fulfillment of certain criteria, eg. B. exceeding a Mindestabstelldauer or below a minimum temperature of the exhaust aftertreatment component, classified as "relevant" and the target achievement is included in a regeneration planning of the discontinuous exhaust aftertreatment component.

Conveniently, the information data can be supplied at the beginning of a journey, after which an initial prediction of possible destinations can be made. The prediction can also be repeated during the journey due to new and updated information data plausibility and corrected if necessary. The criterion for a "relevant" shutdown is preferably a criterion that is coupled with the regeneration or conversion capability after restart after shutdown (with respect to the

Regeneration planning) or with the option of diagnosis during shutdown (with regard to diagnostic planning). So z. Legs

Mindestabstelldauer be used, which corresponds to a time at which the temperature of the exhaust aftertreatment component below the

Temperature window for regeneration drops. Also, a relevant for the regeneration temperature could be used directly, z. B. as a limit temperature, below which a shutdown is considered relevant.

The method or the control device makes use of a consideration in the planning of regenerations and / or diagnoses of a going beyond the actual drive viewing. As a result, z. For example, it can be avoided that a non-relevant shutdown, which would have no or little effect on a regeneration ability immediately after restart, significantly influences the planning of regeneration while driving. An irrelevant parking is not considered in the planning because z. B. a regeneration could also be done immediately or shortly after restart. Thus, it can be avoided that regeneration due to a soon-to-be expected shutdown possibly taking place under less than optimal conditions, although this could also be done immediately or shortly after the restart. Also a termination of diagnoses, eg. B. since they are triggered during too short stoppage, is avoidable. The method or the control device contributes to regenerations and / or diagnoses being carried out under suitable conditions, which increases the efficiency of the

Exhaust gas after-treatment system increases.

In an advantageous embodiment variant of the invention, the information data supplied to the control device contain one or more of the following information, wherein subcombinations of individual data are also possible: a) route data, e.g. B. from navigation data, telematics data etc, such as

Information about user entered routes and / or destinations; Information, eg. B. statistics, known, z. B. already traveled, plugging, stretching in the vicinity of the vehicle position, etc .; Information, eg. Statistics, known destinations, e.g. B. the shutdown, etc .;

b) vehicle data such as vehicle speed, vehicle position,

Vehicle operating state including (partially) autonomous driving state, data on driver actions on the vehicle, etc .;

c) additional data such as driver identification data, eg. Eg key data

and / or driving patterns; Date / time; Take me; Tank level;

Service interval data; Engine or vehicle function control indicators; Driver fatigue detection, known destinations already visited in the past.

The method is particularly advantageously applicable if the prediction of possible destinations is made by classifying destinations as "probable" taking the information data into account and selecting selected destinations as "possible" due to an exceeded minimum likelihood Information data preferably repeated estimated and plausibility. Probabilities can be estimated, for example, based on certain combinations of information data, such. B. due date / time, driver identity, etc., which can conclude with a certain probability of a trip to the workplace.

It is advantageous, for example, if the probability of a destination is determined taking into account: a) a known route which is recognized on the basis of the information data and / or

b) a destination of a user, for example by a

Navigation device and / or

(c) a context of informational data, in particular incorporating ancillary data, from the context of which a need is derived, and correspondingly known and / or new destinations are selected where that need can be met and / or

d) the approach to a known destination.

When specifying a destination, for example, in a navigation device with GPS, the driver is likely to hold at this destination with a high probability. An already traveled route can z. B. be recognized by the fact that the new route so far corresponds to the beginning of an already stored route. In this case, it can also be assumed that the driver will stop at the same destination. In addition, there is a growing likelihood that the driver will be there again when approaching an already approached destination. If none of these situations exist, potential destinations may be derived from other information. For example, when the tank is nearly empty, it can be assumed that the user will soon visit a gas station. Likewise, due to the

Fatigue detection or the time (e.g., midday), that the driver will visit a nearby rest area or the like. Thus z. B. surrounding gas stations, service areas or other to be addressed as needed destinations are classified as particularly "probable" the consideration of such information can therefore be estimated the probability of unexpected and never approached destinations.

In a further embodiment variant, a list of known destinations with relevant parking can be provided, in which information data about these destinations are stored, whereby the destinations have a priority, e.g. B.

depending on the starting frequency, and in the filled list a new destination with a higher initial priority replaces a destination with a lower priority than the initial priority. After each restart, the statistics of the destinations already approached can be completed with the data of the new parking (eg parking time, etc.). Around

Saving storage space could be tight in one embodiment

adjacent parking spaces can be summarized with their location information to a destination. This also applies to a parking area such. B. a city center with different parking lots on the roadside in the vicinity of a visited address.

For example, it is advantageous if during the journey: a) the information data is updated, wherein z. B. the driver's identity due to the driving behavior of the driver can be made plausible, etc. and / or

b) the plausibility of the prediction of the possible destinations and / or the updating of the list of known destinations.

The driving behavior of a driver can be characterized by different driving habits: speed, acceleration, speed, steering angle, yaw rate, which are detected, for example, by speed differences between inside and outside wheels or by sensors of ABS or ESP systems, etc.

Particularly advantageous, the method is applicable, if the possible

Shutdown time at a destination is predicted by: a) a known destination due to the information data detected and

Information, eg. For example, statistics on the duration of stay at this destination are used, and / or

b) the consideration of the information data, in particular with the inclusion of additional data, describes a context from which a possible stopping time is predicted at a possible destination.

For example, considering that:

The driver has entered a destination in a navigation system that is still far away;

• the driver is just stopping;

• it is lunchtime, or that the place of stay is z. B. according to the navigation system is a motorway rest area, or that the tank filling condition will not reach to the destination,

a short wait time, if the driver probably only wants to refuel, or longer, if he is likely to eat. As another example, after a late night shutdown, it could be assumed that the engine shutdown will last all night.

In an advantageous embodiment variant, further relevant states at restart, such as, for example, become apparent from the shutdown period. the temperature of at least one exhaust aftertreatment component determined.

In an advantageous embodiment variant, one or more required diagnoses are performed during shutdown if the predicted shutdown period corresponds to or exceeds a certain minimum diagnostic shutdown duration. Thus, it should be avoided that diagnoses are triggered at too short storage periods and when the engine is restarted

to be interrupted.

In a further variant, the target achievement can be included in the regeneration planning by a need for regeneration of the discontinuous exhaust aftertreatment component by a

Approaching a potential, probable destination increasing Weighting is increased, for. B. depending on the changing times and / or distances until it is reached, and that when a regeneration requirement is exceeded, a regeneration request issued and a regeneration is performed. The need for regeneration, from which the

Regeneration may be determined depending on present or prospective conditions. The

Regeneration requirement is usually at least in response to a (relative) filling or loading of the discontinuous

Exhaust gas after-treatment component determined. It is also possible to include predicted vehicle and / or engine conditions.

In an analogous manner, in a variant for optimizing the conversion of a continuously operating exhaust aftertreatment component with storage capacity relevant for the conversion performance, e.g. a NH3 storage capacity of an SCR catalyst, the achievement of objectives in the

Dosing strategy and / or active temperature control of the SCR catalyst can be included by the NH3 level is maximized before the expected shutdown of the engine and optionally accompanied by the temperature of the SCR catalyst for maximizing the level is selectively reduced by measures of temperature management.

In the following the invention will be explained in more detail by means of embodiments with reference to the drawings. It shows:

1 is a flowchart of a method for controlling

Regenerations of a discontinuous exhaust aftertreatment component involving informational data,

2 shows by way of example a determination of the achievement of objectives within the in

Fig. 1 shown method and

FIG. 3 shows a creation or updating of a list for determining a destination within the method shown in FIG. 1. FIG. 1 shows an exemplary flow chart of a method for controlling and / or regulating the regenerations of a discontinuous one

Exhaust after-treatment component, such as a NOx storage catalyst or a soot particle filter, in a motor vehicle. The method is carried out in or by means of a control device, the z. B. a parent

Assigned control device or can be performed separately or may be formed from a composite of multiple control devices. The

Control device is preferably provided with sources for the supply of

Information data and / or with other control devices and / or the like. In data transmission connection (not fully shown here) and is also to

Control and / or regulation of diagnoses regarding the

Exhaust after treatment system suitable.

In the method shown in Fig. 1, including a

Regeneration requirement 1 and a forecast 4 (dashed area) a regeneration request 2 is determined and fed to a motor mode control 3. The engine mode control 3 controls, if necessary, for the

Regeneration necessary operating conditions during the

Regeneration process, if they are not given due to the driving operation. The regeneration requirement 1 depends primarily on a relative charge 5 (i.e., charge in terms of storage capacity) of the discontinuous exhaust aftertreatment component, which is determinable in a variety of ways known in the art. Of the

Regeneration requirement 1 can for example be assessed on a scale o. The like., Z. For example, to represent a score between "no need" and "immediate need", or the like. In addition, the regeneration request 2 additionally receives current regeneration conditions 11, i. For example, the current vehicle and / or engine operating condition, of which the possibility for

Switching to a regeneration mode, eg. B. with fat gas at the entrance of a NOx storage catalyst while maintaining a temperature band (min-max), directly depends.

Through the forecast 4 is within the regeneration control a

Prediction of the regeneration conditions allows, for. B. up to one certain temporal and / or local horizons. The horizon can be z. B. of average regeneration cycles (distances between individual

Regenerations) of the discontinuous component, and / or depend on other criteria. In this case, a release of the regeneration z. B. be made dependent on that suitable for the regeneration Fahrzeugbzw. Engine operating condition for at least a required duration of

Regeneration is in a suitable range for regeneration.

The prognosis 4 comprises, on the one hand, the prediction of a need for a regeneration duration 8. The regeneration duration 8 depends, in particular, on the relative charge 5 of the exhaust aftertreatment component to be regenerated, the current value of which is fed to the prognosis 4. The regeneration duration 8 may also be predicted at future times of the current trip, e.g. B. depending on an expected course of the filling depends on information data.

Furthermore, the forecast 4 includes a unit for predicting a

Regenerationsstarts 9 a possible regeneration, the z. B. is also determined depending on the possible duration. Including

Information data, in particular of route and / or vehicle data 6, 6 ', a route section can be predicted, at which for the

Regeneration favorable vehicle or engine operating conditions preferably present over the entire regeneration period 8. At the beginning of such a section of track can then be scheduled at a corresponding need for regeneration 1 Regerationsstart 9.

In addition, prediction 4 of the goal attainment 10 is provided in forecasting 4, in which information data, i.

Route data 6, 6 'and / or additional data 7, possible destinations for parking the vehicle and times and / or distances are predicted to reach them. It is also assessed whether parking is to be classified as "relevant" with a certain degree of probability, which may be the case, for example, if the parking is turned off significantly

Vehicle conditions and thus boundary conditions for regeneration is expected that immediately (or within a short period of time, eg, below one minute) after a restart, the regeneration capability of the exhaust aftertreatment component is no longer present. For example, this may be the case when exceeding a Mindestabstelldauer, since thereby the temperature of the exhaust aftertreatment component drops below a temperature necessary for regeneration. Further details on the prediction of the goal achievement 10 are explained with the figures 2 and 3.

The determined by the prognosis 4 regeneration period 8, the

Start of regeneration 9 and goal achievement 10 go together with the

Regeneration conditions 11 in a regeneration planning 14 a. In the regeneration planning 14, including at least some of this information, the regeneration requirement 1 can be weighted. So z. For example, goal attainment 10 may be included by requiring the regeneration demand 1 to be increased by an increasing weighting approaching a possible, i.e. a certain minimum probability exceeding, relevant destination is increased, z. B. depending on the changing times and / or

Distances to reach it. When exceeding a certain limit by the resulting after the weighting

Regeneration requirement 1 becomes a consolidated release 15 a

Regeneration request 2 issued and performed a regeneration. During the regeneration, the regeneration conditions 11 can be monitored, whereby in addition to a release 13 an abort 12 can be output by this monitoring. An abort is z. B. conceivable if the required regeneration conditions 11 are not present (more).

FIG. 2 shows an example of how the target achievement 10 can be determined. First, an information data acquisition 20 in which the controller receives information data, i. Track data 6, vehicle data 6 'and / or additional data 7 are supplied. Vehicle data 6 'can z. B.

Vehicle position, vehicle operating state, etc., track data can by navigation data, telematics data, statistics on known, already traveling routes, in particular starting from the current Vehicle position, etc. be given. Additional data can be z. B. calendar data (date, time), data for driver identification such as key data (to distinguish between first and second key), tank level, departure,

Service interval data and vehicle control indicators (driving behavior such as

Switching behavior and / or accelerator pedal dynamics). Subcombinations of the information data and also the data in the individual categories are possible. Conveniently, the initial information data acquisition 20 at engine start and thus at the start of the journey.

After the - preferably initially initial - information data acquisition 20, an initial target assessment 21 is initially performed. In this case, a prediction of possible destinations can take place in that destinations under

In a simple case, this may be the destination input in a navigation device In a further example, based on the date and time, the Vehicle position and data for driver identification are closed to a destination, eg the work station After determining the destination, a rating is made as to whether a relevant shutdown is to be expected there, for example where a minimum parking time is exceeded. B. due to an already known,

average shutdown time due to the past associated with the destination, which in turn is detected based on the informational data. But also a different determination on the basis of the information data, in particular from considerations together, is possible. So z. B.

due to the service interval indication, a shutdown at a nearby workshop may also be considered, or a stop at an on-track service area when driver fatigue detection strikes.

Subsequently, during the journey, a repeated target assessment 22 takes place in which the information data is also updated. The prediction of the possible destinations will be based preferably on the updated ones

Information data, plausibility, for example, by a repeated Evaluation of possible targets to be addressed z. B. due to route detection, driving time, fatigue detection, tank level etc ..

The goal achievement 10 is finally determined in a step 23 in that z. B. from below a certain minimum distance to a possible relevant destination (i.e., with an expected relevant shutdown) a time and / or distance is determined up to this. With decreasing

Distance to the destination of the regeneration requirement 1 can be weighted higher, and when exceeding a certain regeneration requirement 1, a regeneration request 2 is issued and carried out a regeneration.

To predict the achievement of objectives 10 or possible destinations, a list of known destinations can be used. Figure 3 shows how such a list of stored destinations can be provided and updated. In this case, information data, such as additional information 7 can also be stored in the list, as the position of the destination, of which

Starting positions from the destination was approached and the like .. Preferably, the destinations are assigned certain priorities. These arise z. B. including the Anfahrhäufigkeit, in each case only one relevant parking is included in the frequency. Other factors may be considered, such as: For example, how far the last relevant turn off is at this location in the past, etc. The destinations may be sorted by priority.

After a shutdown 30, for example when the engine is restarted, an assessment 31 checks whether certain criteria for a relevant shutdown have been met. It can be z. For example, check whether a particular

Minimum shutdown has been exceeded at which the temperature of

Exhaust after-treatment component below the temperature window for regeneration drops or the like .. Only at a relevant parking this approach of the destination is taken into account. If the rating is not (yet) possible, it can be repeated at a later date. If the parking is evaluated as "relevant", it is determined in a next step 32 whether the destination is already known, ie stored in the list Step 33 adapted in its prioritization, for example, prioritized by a certain grading. He could also, for example, the highest

Prioritization as it forms the most recent destination. If the destination is not yet known, this one, for example, set, initial priority can be assigned and checked in a step 34, if another space in the list is free. If so, the destination is stored in a new location in the list (step 36), otherwise a destination with a very low, preferably lowest, priority is overwritten with the new destination (step 35). Other stored destinations may be adjusted in their prioritization (step 37), e.g. B. can be devalued accordingly by receiving a lower prioritization before the update is completed after a relevant shutdown (step 38).

Closely adjacent destinations, for example, different positions on a spacious parking lot or different parking spaces in the vicinity of a visited address, can be conveniently combined to a destination to save space. This is not limiting insofar as regeneration would have to be started at a distance from the destination that is greater than the typical extent of a parking space or spread of the parking spaces. It is also conceivable that a parking space lying in an area, which is approached as a relevant destination, also the prioritization of another in this area parking space or

Destination increased.

If a destination has been mistakenly selected and included in the regeneration planning 14, this can be downgraded in its prioritization in order to avoid false inclusion in the future.

The determination of destinations based on the list can be treated as subordinate. Thus, for example, in the case of a specific destination input using a navigation device, a determination of a possible destination from the list can be dispensed with. In a manner similar to the above examples, the method may additionally or alternatively be used for the planning of diagnostic procedures

Exhaust after-treatment components are used. In particular, it is advantageously applicable to such diagnoses that are performed in the shutdown phase. Here, a diagnostic start, that is to say a triggering of a diagnostic procedure, is likewise made dependent on the existence of a "relevant" shutdown

Regeneration processes relevant differ. For example, a minimum diagnostic shutdown period can be assumed which corresponds to at least the expected duration of a diagnosis.

In other continuous exhaust aftertreatment components having storage properties, e.g. Nl storage capability of an SCR catalyst, the method of detecting engine shutdown locations may also be used to establish, in good time before shutdown, optimum (high or low) memory contents for re-start. Again, the criteria for the relevance of a shutdown can differ from that valid for a regeneration process.

Claims

claims

1. Method for controlling and / or regulating a

Exhaust gas aftertreatment system of an internal combustion engine arranged in a vehicle, in particular a discontinuously operating exhaust aftertreatment component, with regenerations and / or diagnoses controlled by a control device, wherein the

Control device information data are supplied, under the consideration of the regenerations, diagnoses and / or certain memory target states are controlled and / or regulated, wherein:

a) based on the information data, possible destinations for parking the vehicle are predicted,

b) repeatedly determining the achievement of the goal of at least one of the possible destinations by determining times and / or distances before reaching it,

c) on the basis of the information data, a possible storage period

at least one of the possible destinations is predicted, d) the stopping on fulfillment of certain criteria, eg. B. Exceeding a Mindestabstelldauer or falling below one

Minimum temperature of the exhaust after-treatment component, classified as "relevant" and the target achievement in one

Regeneration planning (14) of the discontinuous exhaust aftertreatment component is included.

2. The method according to claim 1,

characterized,

in that the information data supplied to the control device comprises one or more of the following information:

a) route data (6), z. From navigation data, telematics data, etc., such as information about user-entered routes and / or destinations; Information, eg. B. statistics, known, z. B. already traveled, routes, routes in the vicinity of the vehicle position, etc .; Information, eg. Statistics, known destinations, e.g. B. the shutdown, etc .; b) vehicle data (6 ') such as vehicle speed, vehicle position, vehicle operating state including (partially) autonomous driving state, data on driver actions on the vehicle, etc .;

c) additional data (7) such as driver identification data, eg. B.

Key data and / or driving patterns; Date / time; Take me; Tank level; Service interval data; Engine or

Vehicle function indicators; Driver fatigue detection, known destinations already visited in the past.

Method according to claim 1 or 2,

characterized,

in that the prediction of possible destinations is carried out by assigning a probability to destination locations taking into account the information data and by selecting selected destinations as "possible" on the basis of an exceeded minimum probability.

Method according to claim 3,

characterized,

that the probability of the destination is determined under

consideration:

a) a known route, which is recognized on the basis of the information data and / or

b) a destination of a user, for example by a

Navigation device and / or

c) a context of informational data, in particular under

Inclusion of ancillary data, from the context of which a need is derived, and accordingly known and / or new destinations are selected where that need can be met and / or

d) the approach to a known destination.

Method according to one of the preceding claims,

characterized, providing a list of known destinations with pending relevant location in which information data about those destinations are stored, the destinations having a priority, e.g. B. depending on the

In the case of a filled list, a new destination with a higher initial priority replaces a destination with a lower priority than the initial priority.

Method according to one of the preceding claims, characterized in that

while driving:

a) the information data is updated and / or

Method according to one of the preceding claims, characterized

that the possible stopping time at a destination is predicted by: a) recognizing a known destination based on the information data and providing information, e.g. For example, statistics on the duration of stay at this destination are used, and / or

Method according to one of the preceding claims,

characterized,

that from the shutdown period further relevant states at restart, such. the temperature of at least one

Exhaust after-treatment component to be determined.

Method according to one of the preceding claims,

characterized, that one or more required diagnoses are made during shutdown if the predicted shutdown time meets or exceeds a certain minimum diagnostic shutdown duration.

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

characterized,

that in the regeneration planning (14) target achievement is included by increasing a regeneration requirement (1) of the discontinuous exhaust aftertreatment component by increasing the weighting as it approaches a likely probable destination, e.g. B. depending on the changing times and / or distances to reach it, and that when exceeding a

Regeneration requirement (1) issued a regeneration request (2) and a regeneration is performed.

11. Control device for controlling and / or regulating a

Exhaust after-treatment system of a vehicle arranged in an internal combustion engine, in particular a discontinuously operating exhaust aftertreatment component, with a method according to at least one of the preceding claims, wherein the

Control device with at least one information data source for supplying information data in data transmission connection is.