EP4619860A1 - Computerimplementiertes verfahren zur durchführung einer aktualisierungskampagne - Google Patents
Computerimplementiertes verfahren zur durchführung einer aktualisierungskampagneInfo
- Publication number
- EP4619860A1 EP4619860A1 EP24801847.5A EP24801847A EP4619860A1 EP 4619860 A1 EP4619860 A1 EP 4619860A1 EP 24801847 A EP24801847 A EP 24801847A EP 4619860 A1 EP4619860 A1 EP 4619860A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- update
- vehicle
- installation
- vehicles
- installation sequence
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/60—Software deployment
- G06F8/65—Updates
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/008—Registering or indicating the working of vehicles communicating information to a remotely located station
Definitions
- the invention relates to a computer-implemented method for carrying out an update campaign for a vehicle according to the type defined in more detail in the preamble of claim 1.
- OTA over-the-air update
- update packages are sent out that contain software updates for one or more in-vehicle computing units, whereby one or more different software components of a single computing unit can also be updated.
- the term "computing unit” refers to the underlying hardware, i.e., a computer or computer system such as a system-on-a-chip (SoC), a control unit, or the like.
- SoC system-on-a-chip
- software component refers to the software executed by the computing unit, or parts thereof, such as individual program code sections or subprograms intended for a specific task, or the like. For example, updates for several programs running on a single processing unit can be included in the update package.
- Software updates can also be implemented as so-called differential updates, in which only the changes to the program code are replaced or supplemented.
- An update package can also include, for example, a new firmware version, an update for an application program, or even changed parameter values, for example, of a characteristic curve for a control program. Installing firmware on a computing unit is also referred to as "flashing.”
- the overall update duration in the vehicle should be as short as possible. This means that individual vehicle functions or even the usability of the vehicle itself may be restricted or even unavailable while software updates are being installed.
- the computing units cannot be updated during ferry operation, meaning that in vehicles with combustion engines, the power for the update must be supplied from the starter battery. In battery-electric vehicles, this is also the case during ferry operation, with the traction battery serving as the energy storage device. Since battery capacity in vehicles is limited depending on the drive type, updates must be performed as quickly as possible.
- a forecast of the update duration is announced, in particular, including a statement regarding the update sequence.
- the update sequence is determined depending on the available data transmission rate of a particular fieldbus via which the computing units are connected to the vehicle's communication network, as well as randomly measured values of the installation duration in a test system.
- unexpected influences may occur during the actual installation in the vehicle. such as different environmental conditions, unexpected load on individual computer systems, and the like. This can lead to installation times in the field being longer than in the test environment. It can even happen that the total update time is longer with a parallel update sequence of individual computing units than with a sequential update sequence.
- the key factor here is that such boundary conditions are not calculable, since in a complex system such as a vehicle, these boundary conditions are also interdependent. An additionally small database of measured values exacerbates the problem of predictability and the influence of boundary conditions.
- a method for scheduling an update campaign for so-called wireless updates depending on the update size and the data transmission rate of a bus channel is known, for example, from US Pat. No. 10,042,629 B2.
- a priority level is assigned to the individual computing units to be updated.
- EP 3662 364 B1 discloses a system for transmitting at least one update package for at least one control unit of a motor vehicle.
- the document describes an in-vehicle download manager that determines the update sequence of the computing units in the vehicle.
- Dynamic update campaigns can be executed taking vehicle information into account. This allows the content of an update package to be tailored to a specific vehicle. After an installation attempt, status information about the installation success of an update can be transmitted to a server.
- the present invention is based on the object of providing an improved computer-implemented method for carrying out an update campaign for to specify a vehicle whose application reduces the total downtime of the vehicles in a fleet due to the installation of software updates compared to known solutions.
- a generic computer-implemented method for carrying out an update campaign for a vehicle wherein an update server wirelessly distributes an update package to the vehicle, the update package comprises a software update for at least two vehicle-internal computing units, an installation sequence for the computing units is determined, the computing units are updated according to the installation sequence and the vehicle subsequently transmits an installation report to an analysis center, is further developed according to the invention in that
- the analysis center examines the installation reports of all vehicles.
- the update campaign is first carried out according to the usual pattern, orchestrated by the update server, for a subset of the vehicles in the fleet.
- the installation sequence for a particular vehicle can be determined externally, in particular by the update server, or internally, for example, by a download or installation manager running on an on-board computing unit.
- the installation sequence will typically differ across the individual vehicles in the fleet. This makes it possible to identify an optimized installation sequence by analyzing the installation reports. This sequence is characterized by the shortest overall update duration compared to the other installation sequences.
- a first installation sequence in a first vehicle can result in a shorter overall update time than in a second vehicle, while a second installation sequence in the second vehicle can result in a shorter overall update time than in the first vehicle.
- the analysis center evaluates the installation reports of the vehicles in the fleet and is therefore able to recognize patterns. Proven computer-based or mathematical data analysis methods can be used for this purpose.
- the "optimal" installation sequence can be determined based on statistical values. For example, it can be checked which installation sequence results in the shortest overall update time for the most vehicles in the fleet, and this installation sequence can be defined as the optimal installation sequence.
- the installation sequence can generally provide for all computing units of the vehicle to be updated sequentially or in parallel, or even for several computing units to be updated sequentially and other computing units to be updated in parallel.
- the analysis center determines the optimal installation sequence for different update campaigns and thus for different update packages individually. For example, an update package requires the installation of a specific combination of software components on a specific selection of computing units in the vehicle. To obtain meaningful results, the corresponding update campaigns must be examined individually. Because the number of configuration combinations for a vehicle results in an exponential growth in vehicle variants, each vehicle update must be considered individually.
- the vehicle manufacturer can use the knowledge gained by carrying out the computer-implemented method according to the invention, for example, to adapt the architecture of the communication network of its vehicles so that update campaigns in future series can be carried out more quickly and thus more efficiently and effectively due to a shortened overall update time.
- the vehicle To communicate with the update server or the analysis center, the vehicle includes appropriately configured communication tools, such as a telecommunications unit.
- the telecommunications unit also forms an in-vehicle computing unit and is connected to the vehicle's communications network.
- the analysis center sorts out anomalies in the installation report and enters the data from the installation report into a database.
- An advantageous development of the method according to the invention provides that the installation sequence found by the analysis center is sent to the update server for adapting the update campaign, so that the update server defines the installation sequence found by the analysis center as the optimized installation sequence for the update package.
- the findings already obtained by the analysis center during the update campaign can be used during the update campaign to be used to adapt them. For example, an initial set of vehicles in the fleet completes the installation of the update package, which is used for the corresponding analysis by the analysis center. This allows the analysis center to determine the shortest total update duration based on the previous data and adjust the installation sequence for a second set of vehicles in the fleet.
- the first and second sets of vehicles in the vehicle fleet can be fixed by a central location, such as the update server or the analysis center.
- a wide variety of criteria can be taken into account when assigning vehicles to a particular set of vehicles, such as the software and/or hardware architecture of the vehicles.
- Additional sets of vehicles in the vehicle fleet such as a third, fourth, fifth, or even more sets, can also be planned.
- the third set of vehicles in the vehicle fleet can again carry out the update campaign according to the usual pattern, allowing even more insights to be gained regarding an even more optimized installation sequence. This insight can then be used to update the fourth set of vehicles, and so on.
- the first set of vehicles can also be determined automatically and freely.
- the vehicle manufacturer can specify that a certain number of vehicles in the fleet, say 1,000 vehicles, should perform the update campaign according to the usual pattern. Once the specified number is reached, a cut is made, and the second set of vehicles, for example, all remaining vehicles in the fleet, are then updated according to the optimized installation sequence determined by the analysis center.
- the update server is used as an analysis point.
- the system structure of the components involved in carrying out the method according to the invention can be simplified.
- a further advantageous embodiment of the method according to the invention further provides that the data transmission rate of each communication channel via which a computing unit to be updated is connected to the communication network is included in the installation report as a continuous or time-discrete signal, at least for the entire update duration.
- the installation report contains at least the data transmission rate of the communication channels via which the computing units to be updated are connected to the communication network.
- the data transmission rates of other communication channels preferably all communication channels of the communication network, can preferably also be included in the installation report. This makes it possible to identify further factors influencing the overall update duration, such as the sending and/or receiving of data packets by computing units that are not part of the update campaign.
- the update duration of a respective computing unit is divided into individual update subsections, wherein in particular at least one of the following update subsections is included:
- a bootloader is a program that loads an operating system.
- the memory is written with a new operating system, for example, in the form of firmware.
- the processing unit is thus "flashed.”
- a further advantageous embodiment of the method according to the invention further provides that the analysis center uses artificial intelligence, in particular in the form of an artificial neural network, to examine the installation reports.
- Artificial intelligence is particularly powerful in identifying characteristic features in large amounts of data.
- the use of artificial intelligence is particularly suitable for examining installation reports. This is particularly interesting for detecting and correcting anomalies and for combining individual data that may reveal dependencies.
- the analysis center groups the vehicles of the vehicle fleet based on the hardware and/or software architecture.
- the vehicles of the vehicle fleet differ in the computer systems installed and the general vehicle configuration itself, for example, different special equipment. Different vehicles can, for example, have different sensor systems, which allows the provision of entirely different driver assistance systems.
- driver assistance systems may require additional control units for data processing. Accordingly, these additional control units can affect the installation process during the installation of an update package and the overall update duration.
- equivalent hardware components such as a processing unit of a certain type
- the same software can also be installed on different hardware systems and versions. Grouping vehicles according to their hardware and/or software architecture allows for even more reliable pattern recognition and thus the identification of additional factors influencing the overall update time.
- Proven grouping algorithms such as the k-means algorithm
- the k-means algorithm is characterized by its simplicity, robustness, and reliability.
- Grouping vehicles can also be referred to as clustering. K1-based methods can also be used for this.
- a further advantageous embodiment of the method according to the invention further provides that the analysis center additionally takes into account the assignment of a vehicle to a specific vehicle group when determining an optimized installation sequence.
- the analysis center can therefore determine several different optimized installation sequences for one and the same update campaign or one and the same update package depending on the hardware and/or software architecture of the vehicle.
- a first and a second software component of a first and a second computing unit need to be updated.
- the first and second computing units can, for example, be installed in a vehicle of a first and a second type.
- the vehicle of the first type can additionally have a third and fourth computing unit with a third and fourth software component, while the vehicles of the second type additionally comprise, for example, a fifth and sixth computing unit with a fifth and sixth software component.
- the vehicles of the first and second types therefore have the first and second computing units with the first and second software components to be updated as a common feature.
- the vehicles of the first and second types are therefore equally affected by the update campaign.
- the analysis center is now able to differentiate between vehicles of the first and second type, i.e., based on the hardware and/or software vehicle architecture.
- the third, fourth, fifth, and sixth processing units, as well as the corresponding software components, serve as distinguishing features.
- the analysis center can determine an initial optimized installation sequence for vehicles of the first type and for the Vehicles of the second type determine a different optimized installation sequence.
- At least one vehicle sensor value recorded during the total update duration is included as an additional parameter in the installation report, and the analysis center additionally considers characteristics of vehicle sensor values when determining an optimized installation sequence.
- the vehicle can record a wide variety of measured values using a wide variety of vehicle sensors. These include, for example, the ambient temperature of the vehicle, an oil temperature, a battery charge level of an electrical energy storage device in the vehicle, status information of a vehicle subsystem, a wheel speed, and the like.
- artificial intelligence is particularly suitable for identifying characteristic patterns.
- a further advantageous embodiment of the method according to the invention further provides that a vehicle intended to carry out the update campaign transmits a current vehicle sensor value corresponding to the at least one vehicle sensor value to the update server, and the update server distributes an update package to the vehicle with an installation sequence specifically tailored to the characteristics of the received vehicle sensor value.
- the vehicles in the fleet participating in the update campaign can transmit currently measured vehicle sensor values or predicted vehicle sensor values for a future time horizon to the update server, which then selects the optimal installation sequence for the respective boundary conditions and distributes it to the respective vehicle.
- the optimal installation sequence for the respective application is carried out in the vehicle, which ultimately allows the update campaign to be carried out particularly quickly, thus shortening the overall update time in the vehicle.
- Fig. 1 is a schematic representation of a communication network of a vehicle
- Fig. 2 two diagrams showing the update history of the on-vehicle computing units for two vehicles with different installation sequences
- Fig. 3 is a schematic flow diagram of a computer-implemented method according to the invention for carrying out an update campaign for the vehicles of a vehicle fleet;
- Fig. 4 shows a schematic system structure of the actors involved in the implementation of the method according to the invention.
- FIG. 1 shows a vehicle 1 comprising several computing units 4 that communicate with one another via a communications network 8.
- the computing units 4, designated Gateway 1 and Gateway 2 are corresponding gateways, for example in the form of a hub or switch.
- the computing units 4, designated ECU 1 to ECU 6, are control units (Electronic Control Units).
- the communications network 8 comprises three communications lines 8.1, 8.2, and 8.3, wherein the respective communications lines 8.1 - 8.3 can be divided into several communications channels as required.
- the communications network 8 can also be referred to or understood as a bus system.
- the communications line 8.1 is an Ethernet data line with an exemplary data transmission rate 7 of 100 Mbit/s.
- the communication line 8.2 can, for example, be a FlexRay data line with a data transmission rate 7 of, for example, 10 Mbit/s.
- the communication line 8.3 can, for example, be a CAN bus with a data transmission rate 7 of, for example, 500 kbit/s.
- the vehicle 1 further comprises a telecommunications unit 9 for establishing a wireless communication connection to the update server 2.
- the telecommunications unit 9 can, as indicated in Figure 1 by a dashed box, be designed externally to the gateway 1, or can also form the gateway 1 itself.
- the vehicle 1 receives an update package 3, shown in Figure 3, from an update server 2, comprising a software update for several of the computing units 4.
- an update package 3 shown in Figure 3, from an update server 2, comprising a software update for several of the computing units 4.
- This allows individual code components to be newly introduced into the vehicle 1, existing code components to be deleted, and/or existing code components to be replaced with new ones.
- This does not necessarily have to include software updates for all computing units 4 of the vehicle 1.
- the method according to the invention is aimed at update campaigns in which at least two different computing units 4, i.e., two computing units 4 that are connected to the communication network 8 via separate communication channels, are updated.
- Figure 2a shows a diagram of the update process in a first vehicle with a first installation sequence
- Figure 2b shows the update process for a second vehicle with a second installation sequence.
- the abscissa represents time, and the ordinate represents the bandwidth or data transmission rate 7 of a respective communication channel K1-KN, divided between the communication lines 8.1 and 8.3. Due to the high data transmission rates 7 of the first communication line 8.1, the respective software updates for the computing units 4 "ECLI5" and "ECLI6" as well as “ECLI1" - “ECLI3" can be transmitted simultaneously via the first to third channels K1-K3 of the first communication line 8.1.
- the software updates can be sent directly to the computing units 4 "ECLI5" and "ECLI6", while the software updates for the computing units 4 "ECII1" - "ECLI3" must first be transmitted to the gateway 2, which connects the first communication line 8.1 to the third communication line 8.3. The gateway 2 then forwards the respective software updates to the computing units 4 "ECII1" - "ECLI3".
- each bar on the abscissa corresponds to an update duration tinstaiiation of the respective software update on the respective computing unit 4 (entered as an example for the computing unit 4 “ECU1”).
- the update duration tinstaiiation includes in particular the time required to receive the software update via the respective communication channel K1-K3, the time required to switch to a bootloader, the time required to delete a memory, the time required to rewrite the memory and/or a restart time.
- the update duration tinstaiition advantageously describes at least the time required to receive the software update via the communication channel K1-K3.
- This situation is used for a computer-implemented method according to the invention for carrying out an update campaign for the vehicles 1 of a vehicle fleet, the sequence of which is illustrated using Figure 3.
- the vehicles 1 compile an installation report 5, which includes at least the installation sequence in the respective vehicle 1, the update period tinstaiiation of each computing unit 4, and a data transmission rate 7 of the respective communication channels K1-KN during the installation of the software updates.
- the total update period t can be reconstructed from the installation sequence and the respective update period tinstaiiation.
- the installation report 5 is then transmitted from the vehicle 1 to an analysis center 6 for examination.
- the analysis center 6 identifies patterns within the installation reports 5 transmitted by a large number of vehicles 1 in the vehicle fleet and is thus able to determine the installation sequence that results in the shortest overall update duration t m in for the respective update package 3 of the update campaign, in particular taking into account the software and/or hardware vehicle architecture and/or currently existing boundary conditions.
- the analysis center 6 then transmits this information to the update server 2, which then adapts the update package 3.
- the optimized installation sequence found by the analysis center 6 is thus used to update the other vehicles 1 in the vehicle fleet. This reduces the downtime for the other vehicles 1 in the vehicle fleet. This increases the reliability of the vehicles 1 in the vehicle fleet and extrapolates it to the entire vehicle fleet.
- the analysis point 6 comprises a first, second and third database 10.1, 10.2, 10.3, whereby the first database 10.1 serves to store the installation reports 5, the second database 10.2 the hardware and/or software vehicle architecture of the vehicles 1 of the vehicle fleet and the third database 10.3 describes an assignment of the updated vehicles to the respective vehicle architectures.
- the installation reports 5 or the vehicle architectures are sorted based on a unique vehicle identifier, such as the vehicle identification number.
- the analysis unit 6 can read the first and second databases 10.1, 10.2 and, using proven grouping or clustering algorithms, classify vehicles 1 based on vehicle architecture, compare them with the values contained in the installation reports 5, and thereby draw conclusions about the optimized installation sequence. The information obtained from this is stored in the database 10.3.
- the analysis center 6 analyzes the information contained in the first, second, and third databases 10.1, 10.2, 10.3 and is thus able to determine the optimized installation sequence applicable to the respective vehicle architecture. This information is forwarded to the update server 2, which transmits appropriately adapted update packages 3 to the vehicles 1.
- the analysis point 6 and the update server 2 are implemented separately from one another.
- the functions of the update server 2 and the analysis point 6 can also be integrated into a common computing device, in particular in the form of a server or server network.
- the update server 2 can also function as the analysis point 6, or the analysis point 6 can function as the update server 2.
- a vehicle sensor value available from a particular vehicle during the installation of the software updates can also be considered as a further influencing factor for the total update duration t.
- this is not shown in the figures.
- the total update duration t for individual vehicles in the fleet can be reduced compared to the standard procedure for installing software updates. This can also lead to a lower number of interruptions during the installation, which ultimately increases the reliability of installing the update packages 3 or performing the The update campaign has been improved. This also allows unexpected influencing factors to be captured and taken into account.
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Abstract
Description
Claims
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| DE102023004737.6A DE102023004737A1 (de) | 2023-11-18 | 2023-11-18 | Computerimplementiertes Verfahren zur Durchführung einer Aktualisierungskampagne |
| PCT/EP2024/081055 WO2025103800A1 (de) | 2023-11-18 | 2024-11-04 | Computerimplementiertes verfahren zur durchführung einer aktualisierungskampagne |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| EP4619860A1 true EP4619860A1 (de) | 2025-09-24 |
Family
ID=93430301
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| EP24801847.5A Pending EP4619860A1 (de) | 2023-11-18 | 2024-11-04 | Computerimplementiertes verfahren zur durchführung einer aktualisierungskampagne |
Country Status (3)
| Country | Link |
|---|---|
| EP (1) | EP4619860A1 (de) |
| DE (1) | DE102023004737A1 (de) |
| WO (1) | WO2025103800A1 (de) |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9229704B2 (en) | 2014-04-01 | 2016-01-05 | Ford Global Technologies, Llc | Smart vehicle reflash with battery state of charge (SOC) estimator |
| US10042629B2 (en) | 2016-07-28 | 2018-08-07 | GM Global Technology Operations LLC | Remote vehicle update installation scheduling |
| US10678530B2 (en) | 2018-01-09 | 2020-06-09 | Ford Global Technologies, Llc | Vehicle update systems and methods |
| DE102018001347A1 (de) | 2018-02-21 | 2019-08-22 | Daimler Ag | System zum Übertragen zumindest eines Aktualisierungspakets für zumindest ein Steuergerät eines Kraftfahrzeugs sowie Verfahren |
| DE102023000976B3 (de) | 2023-03-13 | 2024-08-22 | Mercedes-Benz Group AG | Verfahren zum Einbringen eines Drahtlos-Updates in ein Fahrzeug und Aktualisierungssystem |
-
2023
- 2023-11-18 DE DE102023004737.6A patent/DE102023004737A1/de active Pending
-
2024
- 2024-11-04 WO PCT/EP2024/081055 patent/WO2025103800A1/de active Pending
- 2024-11-04 EP EP24801847.5A patent/EP4619860A1/de active Pending
Also Published As
| Publication number | Publication date |
|---|---|
| WO2025103800A1 (de) | 2025-05-22 |
| DE102023004737A1 (de) | 2025-05-22 |
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