DE102019106916A1 - Method and control unit for storing data relating to a charging process - Google Patents

Abstract

A method (300) for storing data relating to the charging power (210) during a charging process for charging an electrical energy store (122) is described. The method (300) comprises at a current point in time during the charging process the determination (301) of a power value in relation to the charging power at the current point in time. The method (300) further comprises determining (302) whether or not a deviation criterion is met. The method (300) further comprises storing (303) a performance data record (501) for the current point in time when it is determined that the deviation criterion is met.

Description

The invention relates to the charging of an electrical energy store, in particular an electrical energy store of an at least partially electrically driven vehicle.

An at least partially electrically driven vehicle has an electrical machine that can be operated with electrical energy from an electrical energy store (e.g. from a lithium-ion-based energy store) of the vehicle. A vehicle's electrical energy storage device can be charged as part of a charging process (e.g. wired charging or inductive charging). For this purpose, the energy store is connected to a charging station in order to draw electrical charging power from the charging station.

In order to document the course of a charging process (e.g. for a subsequent error analysis and / or to evaluate the costs associated with a charging process), it may be necessary to exceed the charging power consumed by the electrical energy store and / or drawn from the charging station during a charging process Record and save the charging process time. The storage of the time curve of the charging power in a vehicle is associated with relatively high costs due to the relatively high volume of data.

It is a preferred object of the technology disclosed here to reduce or eliminate at least one disadvantage of a previously known solution or to propose an alternative solution. In particular, it is a preferred object of the technology disclosed here to enable precise and efficient storage of the power curve during a charging process of an electrical energy store. The object (s) is / are achieved by the subject matter of claim 1 and by the subject matter of claim 18. The dependent claims represent preferred embodiments.

According to one aspect, a (computer-implemented) method for storing data relating to the charging power during a charging process for charging an electrical energy store is described. The energy store can be part of an at least partially electrically driven vehicle. As part of the method, a sequence of power data records can be stored, the sequence of power data records describing the course of the charging power over time during the charging process.

The method can be repeated at the points in time of a sequence of (typically) equidistant points in time. In particular, the total duration D of a charging process (or of one or more phases of the charging process) can be divided into a sequence of K points in time.

At a current point in time k (with k = 1,..., K) of the charging process, the method can comprise determining a power value in relation to the charging power at the current point in time k. In particular, a power value can be determined in relation to the charging power that is provided by a charging station and / or by a supply network (in total) at the current point in time for the charging process.

Two directly successive points in time of the sequence of points in time can be separated from one another by a sampling time interval. The sampling time interval typically corresponds to the reciprocal of the sampling rate A. The power value can be determined on the basis of a plurality of measurement values of the charging power within the sampling time interval, in particular as the mean value of the measurement values.

The method also includes determining whether a deviation criterion is met or not. In the context of the deviation criterion, it can be checked whether or not there is a significant deviation from a previously stored performance data set in the course of the charging power over time. In particular, the deviation criterion can (possibly only then) be met if the charging power at the current point in time k deviates by a deviation threshold value and / or by more than the deviation threshold value from the charging power specified in a power data set (in particular in the last saved performance data set) was saved for a previous point in time in the sequence of points in time.

The power value that was saved in the last saved power data set can be viewed as a comparison reference for further (subsequent) changes in the charging power. It can then be checked whether the power value determined for the current point in time k deviates from the comparison reference by the deviation threshold value or more (and thus there is a significant change in power during the charging process). The deviation can be positive or negative respectively. If there is a significant deviation, the deviation criterion can be regarded as being met.

Furthermore, the method comprises storing a performance data record for the current point in time when it is determined that the deviation criterion is met. The performance data record for the current point in time can include the determined performance value and a time stamp for the current point in time. The method can be such that (in particular to describe the course over time of the charging power during the main phase of the charging process) a power data set is only stored for the current point in time if it is determined that the deviation criterion is met. As an alternative or in addition, the method can be such that (in particular to describe the course of the charging power over time during the main phase of the charging process) no power data set is stored for the current point in time if it is determined that the deviation criterion is not met.

The method described in this document makes it possible to describe the course of the charging power over time during a charging process in an efficient manner by means of a sequence of power data records. In particular, the method can be repeated iteratively for the times k = 1,..., K of the sequence of times in such a way that a sequence of power data records is stored which describes the course of the charging power for the sequence of times. The sequence of performance data records preferably only has a performance data record for the one or more points in time of the sequence of points in time at which the deviation criterion was met. If there is no significant discrepancy compared to the respective comparison reference (i.e. the last saved power value), a power data record is not saved. This enables a resource-efficient description of the course of a charging process over time (in particular for the main phase of a charging process).

A certain (limited) storage space is typically available for storing performance data records (in particular for storing the sequence of performance data records) for the sequence of times. The storage space can be such that the storage space enables the storage of exactly and / or only N ₂ performance data sets, with N ₂ > 1 (eg with N ₂ greater than 10 and / or less than 60).

At the current point in time k, the method can include determining a previous use of the storage space for storing performance data records. In particular, it can be determined what proportion of the available storage space has already been used up for the storage of performance data records at the point in time k. The deviation threshold value can then be adapted, in particular increased or reduced, depending on the previous use. In particular, the deviation threshold value can be increased if the previous use indicates that proportionately more storage space was used for storing performance data records than was provided up to the current point in time. On the other hand, the deviation threshold value can possibly be reduced if the previous use indicates that proportionately less storage space was used for storing performance data records than was provided up to the current point in time. By adapting the deviation threshold value during a charging process, it can be ensured that power data records can be saved for the total duration D of the charging process (or the main phase of the charging process) (in order to be able to continuously record the charging power over time).

In particular, the deviation threshold value can be adjusted during the sequence of points in time (e.g. during the main phase of the charging process) in such a way that the storage space available for storing performance data sets for the sequence of points in time (e.g. for storing N ₂ performance data sets) is not is exceeded and / or is divided evenly over the sequence of times with a tolerance of 20% or less. A particularly reliable detection of the entire time profile of the charging power (possibly the main phase) of a charging process is thus made possible.

The method can comprise dividing the memory space available for storing performance data records for the sequence of times over the sequence of times in order to provide a reference consumption of memory space for each time of the sequence of times.

In the context of the method, an expected total duration D of the charging process, in particular the main phase of the charging process, can be determined. The total duration D can then be subdivided into the sequence of K equidistant points in time using the sampling rate A, so that K = D / A. As already stated above, the storage space (for the main phase of the loading process) can possibly allow the storage of exactly and / or only allow N ₂ performance data sets. The reference consumption at the current time point k, with k = 1, ..., K, can then k of the term * N ₂ / K depend or the term k * N ₂ / K, respectively.

Furthermore, the method can include determining, at the current point in time k, whether the actual consumption of storage space for storing performance data records is above or below the reference consumption of storage space. The deviation threshold value can then be adjusted depending on whether the actual consumption of storage space for storing performance data sets is above (in this case the deviation threshold value can be increased) or below (in this case the deviation can be reduced Threshold value) is the reference consumption of storage space. By taking a reference consumption into account, the deviation threshold value can be adapted in a particularly precise manner.

The charging process can be divided into an initial phase, a main phase and an end phase. In the initial phase, the charging power can be increased up to a target charging power. During the main phase, the charging power can normally be kept in the vicinity of the target charging power. In the end phase, the charging power can then be reduced again. The fluctuations in the charging power during the main phase can normally be 1% or less of the target charging power. The deviation threshold value can then possibly be 1% or less of the target charging power.

To store data for the entire charging process, a total storage space for storing N performance data sets can be available. The total storage space can then be divided between the individual phases. In particular, a first memory location can be provided for storing (precisely) N ₁ power data records for describing the time curve of the charging power during the initial phase. Furthermore, a second memory location can be provided for storing (precisely) N ₂ power data records for describing the time course of the charging power during the skin phase. Furthermore, a third memory location, which can be operated in particular as a ring memory, can be provided for storing (exactly) N ₃ power data records for describing the time profile of the charging power during the end phase. Here, N = N ₁ + N ₂ + N _{3 can} be. Due to the fact that the main phase typically increases by a factor of 10 or more or 100 or longer than the initial or final phase, N ₂ / N> 0.5 (approximately between 0.5 and 0.9).

The above-described storage of performance data records as a function of the deviation criterion can possibly be limited to the main phase of a charging process. On the other hand, during the initial phase and / or during the final phase, the method can store a plurality of power data records, in particular precisely N ₁ or N ₂ power data records, for a corresponding plurality of equidistant sampling times, in particular for exactly N ₁ or N ₂ equidistant sampling times. For the initial phase and / or the end phase, an equidistant storage of performance data records can thus take place. The storage of time stamps for the individual service data records can be dispensed with. By storing equidistant performance data sets during the initial phase and / or during the end phase, the increase in performance or the decrease in performance can be recorded and stored in an efficient manner.

At the current point in time k, the method can include the additional storage of the performance data set for the current point in time k in the ring memory (for the final phase), regardless of whether the deviation criterion is met or not. The ring memory can (as explained above) include a storage space for exactly N ₃ performance data sets.

In particular, the method can be carried out iteratively for the sequence of points in time that at the end of the sequence of points in time (or at each point in time of the sequence of points in time from k = N ₃ +1) the ring buffer stores the N ₃ performance data records for the (each) comprises N ₃ last points in time from the sequence of points in time. Thus, performance data records can be written into the ring memory bit by bit (for successive points in time), whereby at a point in time k at a specific storage location in the ring memory the performance data record stored at point in time kN ₃ -1 is replaced by the performance data record. Data record for time k is overwritten.

In this way, it can be ensured in a reliable manner (even in the event of an abrupt end of the charging process) that the N ₃ power data records stored in the ring memory reflect the temporal progression of the charging power at N ₃ equidistant sampling times directly before the end of the charging process (in particular during the end phase of the Charging process). Reliable detection and storage of the charging power at the end of a charging process is thus made possible.

At the current point in time k, the method can include determining a plurality of performance values for performance at a corresponding plurality of different measuring points. The performance data set for the current point in time can then comprise the plurality of performance values. The plurality of measuring points can include: a measuring point at the input of a charging device for charging the energy store; a measuring point on a consumer of the charging device; a measuring point on a voltage converter of the charging device; and / or a measuring point at the input of the energy store. By recording and storing different performance values for different measuring points, a charging process can be documented in detail (for a subsequent analysis).

The method can include determining a maximum value and / or a minimum value of the charging line for the sequence of times (e.g. for the entire main phase and / or for the entire charging process). The maximum value and / or the minimum value of the charging line can then be saved as metadata for the charging process. The quality of the description of a charging process can be further increased by providing additional metadata.

According to a further aspect, a software (SW) program is described. The software program can be set up to be executed on a processor (e.g. on a control unit of a vehicle) and thereby to execute the method described in this document.

According to a further aspect, a storage medium is described. The storage medium can comprise a SW program which is set up to be executed on a processor and thereby to execute the method described in this document.

According to a further aspect, a control unit for storing data relating to the charging power during a charging process for charging an electrical energy store on a storage unit is described. The control unit can be set up to determine a power value in relation to the charging power at the current point in time from a sequence of points in time during the charging process. Furthermore, the control unit can be set up to determine whether a deviation criterion is met or not. In addition, the control unit can be set up to store a performance data record for the current point in time in the memory unit if (possibly only if) it is determined that the deviation criterion is met.

According to a further aspect, a (road) motor vehicle (in particular a passenger car or a truck or a bus) is described which comprises the control unit described in this document.

It should be noted that the methods, devices and systems described in this document can be used both alone and in combination with other methods, devices and systems described in this document. Furthermore, any aspects of the methods, devices and systems described in this document can be combined with one another in diverse ways. In particular, the features of the claims can be combined with one another in diverse ways.

• 1 ein Blockdiagramm eines beispielhaften Ladesystems;
• 2 einen beispielhaften zeitlichen Verlauf der Ladeleistung während eines Ladevorgangs;
• 3 ein Ablaufdiagramm eines beispielhaften Verfahrens zur Speicherung von Daten in Bezug auf die Ladeleistung während eines Ladevorgangs;
• 4 einen beispielhaften Zusammenhang zwischen der Dauer eines Ladevorgangs und dem verfügbaren Speicherplatz zur Speicherung von Leistungsdaten; und
• 5 beispielhafte gespeicherte Leistungs-Datensätze während eines Ladevorgangs.

The invention is described in more detail below on the basis of exemplary embodiments. Show it

• 1 Figure 3 is a block diagram of an exemplary charging system;
• 2 an exemplary time profile of the charging power during a charging process;
• 3 a flowchart of an exemplary method for storing data related to charging performance during a charging process;
• 4th an exemplary relationship between the duration of a loading process and the available storage space for storing performance data; and
• 5 exemplary saved performance data sets during a charging process.

As stated at the outset, the present document deals with the precise and resource-efficient storage of data relating to the charging power that was drawn from a charging station and / or received by an electrical energy store during a charging process.

In this context shows 1 a block diagram of an exemplary charging system 100 with a charging station 110 and a vehicle 120 . The vehicle 120 includes an electrical energy store 122 that uses electrical energy from the charging station 110 can be charged. The vehicle 120 includes a charging socket 121 on which a corresponding connector 111 a charging cable 112 can be infected. The charging socket 121 and the plug 111 form a connector system. The charging cable 112 can be fixed to the charging station 110 connected (as shown). On the other hand, the charging cable 112 via a plug connection to the charging station 110 connected (e.g. for so-called AC charging).

The vehicle 120 includes a charging control unit 123 and / or the charging station 113 includes a control unit 113 , which are each set up, start a charging process at the charging station 110 to control. For this purpose, the charging control unit 123 of the vehicle 120 be set up with the control unit 113 the charging station 110 communicate according to a predefined communication protocol.

1 shows an example of a wired charging system 100 . It should be noted that the aspects described in this document can also be used for other charging methods (in particular for inductive charging).

2 shows an exemplary time course 211 the charging power 210 for charging an energy store 122 (as a function of time 200 ). In an initial phase 201 a charging process typically increases the charging power 210 on until at a point in time 205 a target charging power 212 is reached. The charging process is then carried out during a main phase 202 essentially with the target charging power 212 carried out. However, there can be fluctuations in the target charging power due to various reasons 212 and / or deviations in the actual charging capacity 210 of the target charging power 212 come. For example, there may be deviations from the charging station 110 provided service come. In a final phase 203 (from the time 206 ) of the charging process, the charging power then typically drops again 210 (down to zero at the end of the charging process).

The charging control unit 123 of the vehicle 120 can be a storage unit 124 include or on a storage unit 124 access to data related to charging performance 210 to save during a charging process. The course over time 211 the charging power 210 a charging process could, for example, be sampled at a certain sampling rate A, so that the performance curve 211 is described by a sequence of power values for a corresponding sequence of equidistant points in time. For example, a power value could be stored per minute (where the power value is the mean charging power 210 in the respective sampling interval). With a typical duration of a charging process of several hours, the storage of an evenly sampled performance curve would be 211 take up a relatively large amount of storage space, typically not in the storage unit 124 of a vehicle 120 is available.

To reduce the storage space requirement, the even scanning of the performance curve 211 a loading process to the initial phase 201 and / or to the final phase 203 of the charging process (as typically only in these two phases 201 , 203 a significant change in charging performance 210 he follows).

In the main phase 202 can be the description and / or storage of the performance history 211 take place in such a way that a new performance value (together with a time stamp) is stored in a performance data record only if the new performance value deviates from the previously stored performance value by more than a certain deviation threshold value. In this way, the number of power values to be stored can be significantly reduced.

The deviation threshold value can be related to the fluctuations in the charging power that occur during a charging process 210 , in particular to the extent of the fluctuations that occur. 4th shows an exemplary relationship between the duration of the main phase 202 of a loading process (between the start time 205 and the end time 206 the main phase 202 ) and that for storing performance data for the main phase 202 available space 400 . At the beginning of the main phase 202 are 0% of the available storage space 400 been used while at full use of the space 400 at the end of the main phase 202 100% of the available storage space 400 were used.

The available storage space 400 can be applied equally to the duration D of the main phase 202 of the loading process (which is due to the in 4th shown diagonal as reference consumption 401 is represented). Ideally, there are fluctuations in the charging power 210 during a loading process in such a way that for the storage of performance data records (each of which contains at least one performance value and a time stamp include) for the duration of the main phase 202 the available storage space 400 according to the diagonals or according to the reference consumption 401 is used up.

Typically, however, there will be a consumption of the available storage space 400 for storing the power data sets result from the diagonal or from the reference consumption 401 deviates. For example, the fluctuations in charging power 210 at least temporarily be relatively small, so that it rarely or not at all that the charging power 210 deviates from a previously stored performance value by more than the deviation threshold value. As a result, relatively few or no performance records need to be stored. As a result, the actual need for storage space can be 400 below the diagonal or below the reference consumption 401 fall.

On the other hand, it can happen that the charging power 210 at least temporarily fluctuates relatively strongly, so that it happens relatively often that the charging power 210 deviates from a previously stored performance value by more than the deviation threshold value. As a result, a relatively large number of performance data sets have to be stored, which can lead to the actual need for storage space 400 above the diagonal or the reference consumption 401 lies.

The charging control unit 123 can be set up, the deviation threshold value as a function of the consumption of memory space 400 adapt during a charging process. In particular, the deviation threshold value can be increased if there is a relatively high consumption of memory space 400 exists (especially if the actual consumption or need 402 of storage space 400 above the diagonal or the reference consumption 401 lies). By increasing the deviation threshold, the frequency with which performance data records are saved and thus the need for storage space 400 be reduced. The deviation threshold can be increased in such a way that the actual demand 402 of storage space 400 again below the diagonal or the reference consumption 401 falls or at least with the diagonal or the reference consumption 401 coincides.

On the other hand, the deviation threshold can be reduced if necessary, if the actual storage space requirement is reached 400 below the diagonal or the reference consumption 401 falls. In this case, it can possibly be provided that the deviation threshold value is not reduced below a minimum threshold value, the minimum threshold value depending on the desired resolution of the power values.

4th shows an exemplary actual course 402 the need for storage space 400 during the main phase 202 a loading process. It can be seen that due to the flexible adaptation of the deviation threshold value, the actual course 402 the constant reference consumption 401 of storage space 400 (ie around the diagonal) fluctuates.

• • einen Zeitstempel, der den Zeitpunkt 200 anzeigt, an dem ein Leistungswert ermittelt wurde; und
• • ein oder mehrere Leistungswerte an ein oder mehreren unterschiedlichen Messpunkten.

A charging performance data set can include

• • a timestamp showing the time 200 indicates when a performance value was determined; and
• • one or more performance values at one or more different measuring points.

• • ein Messpunkt, um einen Leistungswert in Bezug auf die von der Ladestation 110 insgesamt bereitgestellten Ladeleistung zu erfassen;
• • ein Messpunkt, um einen Leistungswert in Bezug auf die an einem Wandler (insbesondere einem Gleichspannungswandler) vorliegende Leistung zu erfassen;
• • eine oder mehrere Messpunkte, um jeweils einen Leistungswert in Bezug auf die von einer Komponente des Fahrzeugs 120 aufgenommen Leistung zu erfassen (z.B. einem Klimakompressor, einem elektrischen Durchlauferhitzer, und/oder einer Heizung des Energiespeichers 122); und
• • einen Messpunkt, um einen Leistungswert in Bezug auf die von dem Energiespeicher 122 aufgenommenen Ladeleistung zu erfassen.

Exemplary measuring points are:

• • a measuring point to obtain a performance value in relation to that of the charging station 110 record the total charging power provided;
• A measuring point in order to record a power value in relation to the power present at a converter (in particular a DC / DC converter);
• • one or more measurement points, each with a performance value in relation to that of a component of the vehicle 120 to record the power consumed (e.g. an air conditioning compressor, an electric water heater, and / or a heater for the energy store 122 ); and
• • a measuring point to a power value in relation to that of the energy storage 122 recorded charging power.

In order to compress the data volume to be stored, at least in the main phase 202 of a charging process, the charging power data sets are not saved with a fixed sampling rate A. A new charging power data set is only saved when the charging power (in particular at the measuring point that is measured by the charging station 110 provided charging power) at the current point in time deviates from the last charging power stored by at least a defined delta (e.g. 50 watts). There is also the timing 200 the storage of the charging performance data set to the performance history 211 fully describe.

The performance record can be divided into three parts (for the three phases 201 , 202 , 203 ) be divided. In the following it is assumed by way of example that a total of N = 60 charging power data records can be stored. For the entire algorithm, the performance at the one or more measuring points can be measured with a certain detail sampling rate (e.g. 100 Milliseconds) and accumulated to a mean value for a specific time interval (e.g. 1 minute).

Part 1 of the performance record for the initial phase 201 (Storage locations 1 ... 10 (generally 1 to Ni): When charging starts, the power is gradually increased. For storage locations 1 to 10, the charging power can be stored at a constant sampling rate A (e.g. A = 1 sample / minute) The first part of the performance record can thus be the initial phase 201 record a charging process with a duration of N ₁ / A (e.g. 10 minutes).

Part 2 of the performance record for the main phase 202 of the loading process (storage locations 11 ... 50, generally N ₁ +1 to N ₁ + N ₂ ): After the initial phase 201 there is typically a relatively constant performance curve. Here, power should be stored if the charging power (in particular the provided network power) at the current point in time deviates from the last stored charging power by a defined delta or a specific deviation threshold value (e.g. 50 watts). This applies as long as the course 402 of the storage locations used over the loading time below the diagonal 401 runs. If a disproportionately large number of storage locations are used relative to the remaining charging time, the deviation threshold value for storing the charging power data sets is increased (for example according to an exponential function). In this way, the algorithm forces the actual course 402 the storage of the performance records again in the direction of the diagonal 401 .

During the second part of the performance recording, metadata can also be saved, which can be used to restore the performance history 211 support. Metadata that can be used in particular are those during the main phase 202 Occurring minimum power and / or the maximum power are saved (for the one or more measuring points).

Part 3 of the performance record for the final or final phase 203 of the charging process (storage locations 51 ... 60, or in general N ₁ + N ₂ +1 to N ₁ + N ₂ + N ₃ , where N = N ₁ + N ₂ + N ₃ ): At the end of the charging process, the power typically lowered again. Since the actual end of the charging process cannot be foreseen (e.g. due to the user aborting the charging process), the performance data records are recorded permanently (with a certain sampling rate A) in a ring buffer. If the charging does not end after N ₃ power data records have been saved, the ring buffer is gradually overwritten again. If the end of loading occurs, the ring buffer is written and appended to the overall data record.

Table 1 shows the above method for recording performance in a pseudocode.

5 shows exemplary times when performance data records are saved 501 during a charging process. Also shows 5 an exemplary time course 211 the charging power 210 . Out 5 can be seen that during the main phase 202 the loading process, performance records 501 are saved at irregular intervals.

3 shows a flow diagram of an exemplary method 300 to store data related to charging performance 210 during a charging process for charging an electrical energy store 122 . The procedure 300 can through a control unit 123 , in particular by a control unit 123 of a vehicle 120 to be executed. The data can be stored on a storage unit 124 get saved. In particular, a sequence of performance data records 501 be saved in order to keep track of the time course in a resource-efficient manner 211 the charging power 210 to describe during the charging process. The individual performance data sets 501 can each have at least one performance value (in relation to the charging line 210 ) and include a time stamp that shows the point in time of the charging process at which the stored power value was recorded.

The procedure 300 can be repeated iteratively for a sequence of K times. The sequence of K points in time can be the main phase 202 (and possibly the final phase 203 ) of the charging process. The method steps described below can each be carried out at a current point in time k from a sequence of K points in time, with k = 1, ..., K.

The procedure 300 includes determining 301 a power value in relation to the charging power at the current point in time k. In particular, the (from a charging station 110 related), if necessary, mean charging power at the current point in time k can be recorded as a power value.

The method also includes 300 determining 302 whether a deviation criterion (in relation to the charging power) is met or not. The deviation criterion can be met (if necessary only then or precisely then) if the charging power at the current point in time k deviates by a deviation threshold value and / or by more than the deviation threshold value from the charging power, which in a power record 501 for a previous point in time of the sequence of points in time. In particular, the performance value for the current point in time can be compared to the performance value from the performance data set last stored for the sequence of points in time 501 (for the previous point in time), and it can be checked whether or not there is a significant deviation in the charging power (by more than the deviation threshold value). The deviation threshold value can, for example, be in a range between 0.1% and 2% of the charging power (in particular the target charging power).

The method also includes 300 saving 303 of a performance data set 501 for the current point in time, if (possibly only if) it is determined that the deviation criterion is met. The performance data set 501 for the current point in time can then comprise the determined power value and a time stamp for the current point in time.

The procedure 300 thus makes it possible to track the course over time 211 the charging power 210 (during the main phase 202 of the loading process) in a resource-efficient manner through a sequence of performance data sets 501 to describe the (exclusively) the points in time (and the charging power then available 210 ) during (the main phase 202 ) of the charging process, at which the deviation criterion was met.

The present invention is not restricted to the exemplary embodiments shown. In particular, it should be noted that the description and the figures are only intended to illustrate the principle of the proposed methods, devices and systems.

Claims (18)

Method (300) for storing data relating to a charging power (210) during a charging process for charging an electrical energy store (122); wherein the method (300) comprises at a current point in time from a sequence of points in time during the charging process, - Determining (301) a power value in relation to the charging power at the current point in time; - Determining (302) whether a deviation criterion is met or not; wherein the deviation criterion is met if the charging power at the current point in time deviates by a deviation threshold value and / or by more than the deviation threshold value from a charging power that is in a performance data set (501) for a previous point in time of the sequence of points in time was saved; and - Storing (303) a performance data record (501) for the current point in time when it is determined that the deviation criterion is met; wherein the performance data record (501) for the current point in time comprises the determined performance value and a time stamp for the current point in time. Method (300) according to Claim 1 , wherein - a performance data set (501) is only stored for the current point in time if it is determined that the deviation criterion is met, and / or - no performance data set (501) is stored for the current point in time if it is determined that the deviation criterion is not met. The method (300) according to any one of the preceding claims, wherein - The method (300) is repeated iteratively for the points in time of the sequence of points in time in such a way that a sequence of power data records (501) is stored which describes a curve (211) of the charging power for the sequence of points in time; and the sequence of performance data records only has a performance data record for the one or more points in time of the sequence of points in time at which the deviation criterion was met. Method (300) according to one of the preceding claims, wherein - a memory location is available for storing performance data records (501) for the sequence of times; - the storage space in particular enables the storage of exactly and / or only N ₂ performance data sets (501), with N ₂ > 1, and - the method (300) comprises at the current point in time, - determining a previous use of the storage space for storage of performance records (501); and adapting the deviation threshold value as a function of the previous use. Method (300) according to Claim 4 wherein - the deviation threshold value is increased if the previous use indicates that proportionately more storage space (400) was used for storing performance data records (501) than was provided up to the current point in time; and / or - the deviation threshold value is reduced if the previous use indicates that proportionally less storage space (400) was used for storing performance data records (501) than was provided up to the current point in time. The method (300) according to any one of the preceding claims, wherein the method (300) comprises adapting the deviation threshold value during the sequence of times so that a to Storage of performance data sets (501) for the sequence of points in time, the available storage space is not exceeded and / or is evenly distributed over the sequence of points in time with a tolerance of 20% or less. The method (300) according to any one of the preceding claims, wherein the method (300) comprises, - Splitting a memory space available for storing performance data records (501) for the sequence of times over the sequence of times in order to provide a reference consumption (401) of memory space (400) for each time of the sequence of times; - Determining, at the current point in time, whether an actual consumption (402) of storage space (400) for storing performance data sets (501) is above or below the reference consumption (401) of storage space (400); and - Adjustment, at the current point in time, of the deviation threshold value depending on whether the actual consumption (402) of storage space (400) for storing performance data records (501) is above or below the reference consumption (401) of storage space (400) lies. Method (300) according to Claim 7 wherein - the storage space enables the storage of exactly and / or only N ₂ performance data sets (501), with N ₂ >1; the sequence of points in time comprises K points in time; and - the reference consumption (401) k at the current time, with k = 1, ..., K, by the term k * N ₂ / K dependent or the term k * N ₂ / K corresponds. Method (300) according to Claim 8 , wherein the method (300) comprises, determining a probable total duration D of the charging process, in particular a main phase (202) of the charging process; and dividing the total duration into the sequence of K equidistant points in time by means of a sampling rate A, so that K = D / A. Method (300) according to one of the preceding claims, wherein - the charging process is divided into an initial phase (201), a main phase (202), and an end phase (203); - the sequence of times is part of the main phase (202); and - a total storage space for storing N performance data sets is subdivided into a first storage space for storing N ₁ performance data sets for describing a time curve (211) of the charging performance (210) during the initial phase (201); - In a second memory location for storing N ₂ power data sets for describing the time profile (211) of the charging power (210) during the main phase (202); and - in a third memory location, which is operated in particular as a ring memory, for storing N ₃ power data records for describing the time profile (211) of the charging power (210) during the end phase (203). Method (300) according to Claim 10 , wherein the method (300) during the initial phase (201) and / or during the end phase (203) comprises storing a plurality of performance data sets (501), in particular precisely N ₁ or N ₂ performance data sets (501) , for a corresponding plurality of equidistant sampling times, in particular for exactly N ₁ or N ₂ equidistant sampling times. The method (300) according to any one of the preceding claims, wherein the method (300) comprises additional storage of the performance data set (501) for the current point in time in a ring memory, regardless of whether the deviation criterion is met or not ; - The ring memory has a storage space for exactly N ₃ performance data sets (501); and - N _{3 is} an integer N ₃ > 1. Method (300) according to Claim 12 - The method (300) is carried out iteratively for the sequence of times in such a way that at the end of the sequence of times, the ring buffer comprises the N ₃ performance data records (501) for the N ₃ last times from the sequence of times; and / or - the end of the sequence of times corresponds to an end of the charging process; and - the N ₃ power data records (501) stored in the ring memory display a time curve (211) of the charging power at N ₃ equidistant sampling times during an end phase (203) of the charging process. The method (300) according to any one of the preceding claims, wherein the method (300) comprises at the current point in time, determining a plurality of performance values for performances at a corresponding plurality of measurement points; - The performance data set (501) for the current point in time comprises the plurality of performance values; and - the plurality of measuring points comprises: - a measuring point at an input of a charging device for charging the energy store (122); - A measuring point on a consumer of the charging device; - A measuring point on a voltage converter of the charging device; and / or - a measuring point at an input of the energy store (122). The method (300) according to any one of the preceding claims, wherein the method (300) comprises, - Determining a maximum value and / or a minimum value of the charging line for the sequence of times; and - Saving the maximum value and / or the minimum value of the charging line as metadata for the charging process. The method (300) according to any one of the preceding claims, wherein the energy store (122) is part of an at least partially electrically driven vehicle (120). The method (300) according to any one of the preceding claims, wherein - two directly successive points in time of the sequence of points in time are spaced apart from one another by a sampling time interval, and the power value is determined on the basis of a plurality of measured values of the charging power within the sampling time interval, in particular as the mean value of the measured values. Control unit (123) for storing data relating to a charging power (210) during a charging process for charging an electrical energy store (122) on a storage unit (124); wherein the control unit (123) is set up, at a current point in time from a sequence of points in time during the charging process, - to determine a power value in relation to the charging power at the current point in time; - to determine whether a deviation criterion is met or not; wherein the deviation criterion is met if the charging power at the current point in time deviates by a deviation threshold value and / or by more than the deviation threshold value from a charging power that is in a performance data set (501) for a previous point in time of the sequence of points in time was saved, and - to store a performance data set (501) for the current point in time in the storage unit (124) if it is determined that the deviation criterion is met; wherein the performance data record (501) for the current point in time comprises the determined performance value and a time stamp for the current point in time.

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