WO2022174941A1 - Verfahren zum Betreiben von einer Vielzahl von Peripheriegeräten eines Fahrzeugs, computerlesbares Medium, System, und Fahrzeug - Google Patents
Verfahren zum Betreiben von einer Vielzahl von Peripheriegeräten eines Fahrzeugs, computerlesbares Medium, System, und Fahrzeug Download PDFInfo
- Publication number
- WO2022174941A1 WO2022174941A1 PCT/EP2021/076695 EP2021076695W WO2022174941A1 WO 2022174941 A1 WO2022174941 A1 WO 2022174941A1 EP 2021076695 W EP2021076695 W EP 2021076695W WO 2022174941 A1 WO2022174941 A1 WO 2022174941A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- resource
- peripheral devices
- vehicle
- requests
- resource requests
- Prior art date
Links
- 230000002093 peripheral effect Effects 0.000 title claims abstract description 158
- 238000000034 method Methods 0.000 title claims abstract description 33
- 238000012545 processing Methods 0.000 claims description 10
- 238000012549 training Methods 0.000 claims description 4
- 230000009466 transformation Effects 0.000 claims description 4
- 230000002776 aggregation Effects 0.000 claims description 2
- 238000004220 aggregation Methods 0.000 claims description 2
- 238000001914 filtration Methods 0.000 claims description 2
- 238000013528 artificial neural network Methods 0.000 description 9
- 238000004886 process control Methods 0.000 description 8
- 238000007635 classification algorithm Methods 0.000 description 4
- 238000002485 combustion reaction Methods 0.000 description 3
- 238000004891 communication Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 230000018109 developmental process Effects 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 238000010801 machine learning Methods 0.000 description 2
- 230000006399 behavior Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000003066 decision tree Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
- 239000003550 marker Substances 0.000 description 1
- 238000012706 support-vector machine Methods 0.000 description 1
- 230000001131 transforming effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F13/00—Interconnection of, or transfer of information or other signals between, memories, input/output devices or central processing units
- G06F13/10—Program control for peripheral devices
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/048—Monitoring; Safety
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/25—Pc structure of the system
- G05B2219/25281—Detect usage of machine, adapt sleep mode timer
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/25—Pc structure of the system
- G05B2219/25289—Energy saving, brown out, standby, sleep, powerdown modus for microcomputer
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/25—Pc structure of the system
- G05B2219/25291—Set module, component to sleep if no event or no other module needs it
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/26—Pc applications
- G05B2219/2637—Vehicle, car, auto, wheelchair
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2213/00—Indexing scheme relating to interconnection of, or transfer of information or other signals between, memories, input/output devices or central processing units
- G06F2213/40—Bus coupling
Definitions
- the invention relates to a method for operating a large number of peripheral devices, in particular a large number of integrated circuits in the peripheral devices, of a vehicle.
- the invention further relates to a computer-readable medium for operating a large number of peripheral devices, in particular a large number of integrated circuits of the peripheral devices, of a vehicle, a system for operating a large number of peripheral devices, in particular a large number of integrated circuits of the peripheral devices of a vehicle, and a vehicle including the system.
- the energy efficiency of a vehicle's control units can reduce a CC> 2 footprint of a vehicle with an internal combustion engine or extend the range of battery electric vehicles. It is known from the prior art to reduce the CPU performance of a control device in vehicles in order to reduce the energy consumption of the control device.
- a control unit of a vehicle can include one or more peripheral devices. The peripherals of the vehicle's control devices and in particular the integrated circuits of the peripherals of the vehicle's control devices can hitherto only be switched off statically in vehicles in order to reduce the power consumption of the peripheral devices and thus also the power consumption of the control device.
- the invention is characterized by a method for operating a large number of peripheral devices, in particular a large number of integrated circuits of the peripheral devices of a vehicle.
- the method can be a computer-implemented method and/or a controller-implemented method.
- the plurality of peripherals may include 1, 2, 3, 4, 5, ... peripherals.
- the plurality of peripheral devices includes at least two peripheral devices.
- Each peripheral device can comprise one or more integrated circuits which are integrated in a vehicle control unit.
- the vehicle controller may further include a processor capable of controlling the integrated circuits of the controller peripherals.
- the peripheral devices of the multiplicity of peripheral devices are preferably integrated in one or more control units of the vehicle.
- the vehicle can be an automobile.
- the vehicle can be a partially, highly and/or fully automated vehicle.
- the vehicle may be a battery electric vehicle, a plug-in hybrid electric vehicle, a hydrogen-powered vehicle, or an internal combustion engine-powered vehicle.
- the method includes receiving a plurality of resource requests from one or more applications of the vehicle, wherein a resource request from the plurality of resource requests requests one or more resources from one or more peripherals from the plurality of peripherals from the vehicle.
- the one or more vehicle applications are preferably applications that are executed in parallel on one or more vehicle control units.
- a resource of a peripheral device can be, for example, a function of a peripheral device that is provided by an integrated circuit of the peripheral device.
- the method further includes storing the plurality of resource requests.
- the large number of resource requests is preferably stored in a database and/or in a volatile or non-volatile cache.
- the method further includes receiving a resource configuration profile.
- the resource configuration profile can include one or more rules that define resource-specific threshold values that must not be exceeded or fallen below.
- the method includes determining a target operating state for each peripheral device of the plurality of peripheral devices of the vehicle depending on the received plurality of resource requests and the received resource configuration profile. The target operating state can determine whether a peripheral device is required and therefore cannot be switched off or whether this Peripheral device is not required and can therefore be switched off.
- the method includes controlling the plurality of peripheral devices depending on the specific target operating state, so that an actual operating state of a respective peripheral device of the plurality of peripheral devices corresponds to the specific target operating state of the respective peripheral device of the plurality of peripheral devices. Controlling the plurality of peripheral devices preferably includes switching off or switching on an integrated circuit of a peripheral device depending on the target operating state and/or the actual operating state of the respective peripheral device.
- An energy-efficient operating state for the large number of peripheral devices of a control unit of the vehicle can advantageously be determined by determining a target operating state for the large number of resource requests from a number of applications in a vehicle.
- the control device and thus the vehicle can be operated more energy-efficiently. This can result in reducing the CC> 2 footprint of a vehicle with an internal combustion engine or increasing the range of a battery electric vehicle.
- the peripheral devices can be peripheral devices of a control device or an infotainment system of the vehicle. Furthermore, the peripheral devices can be peripheral devices of other control devices of the vehicle, such as control devices for controlling the traction drive, the driver assistance systems, and/or the vehicle access.
- a resource request of the plurality of resource requests can include a time stamp and/or a resource request of the multiple resource requests can include a type of resource request.
- the method can also include processing the stored large number of resource requests with regard to the respective resource of the peripheral devices and with regard to one or more predetermined time intervals, removing the stored large number of resource requests after processing the stored large number of resource requests, and determining the target operating state for each peripheral of the plurality of peripherals of the vehicle in Include dependency of the processed plurality of resource requests and the received resource configuration profile. This allows the target operating state to be determined more efficiently for each peripheral device.
- the processing of the stored large number of resource requests with regard to the respective resource of the peripheral devices and with regard to one or more predetermined time intervals can comprise an aggregation of the stored large number of resource requests, and/or the processing of the stored large number of resource requests with regard to the respective resource of the peripheral devices and with respect to one or more predetermined time intervals include a transformation of the stored plurality of resource requests. This allows the stored multitude of resource requests to be processed flexibly in order to simplify determination of the target operating state.
- the determination of the target operating state for each peripheral device of the plurality of peripheral devices of the vehicle depending on the received and / or processed plurality of resource requests and the received resource configuration profile a training of classifiers using the received and / or processed Multiple resource requests, classifying the resources of the peripherals based on the classifiers, filtering the classified resources of the peripherals using one or more filter rules of the received resource configuration profile, and determining the target operating state for the classified resources of the peripherals depending on the received resource configuration profile .
- the target operating state of the peripheral devices can be efficiently determined dynamically.
- the determination of the target operating state for each peripheral device of the plurality of peripheral devices of the vehicle depending on the received and/or processed plurality of resource requests and the received resource configuration profile can also include receiving an incorrect actual operating state of one or more peripheral devices the plurality of peripheral devices and a non-executable resource request.
- the classifiers can be trained using the non-executable resource query.
- the invention is characterized by a computer-readable medium for operating peripheral devices of a vehicle, the computer-readable medium comprising instructions which, when executed on a control unit or a computer, execute the method described above.
- the invention is characterized by a system for operating peripheral devices of a vehicle, the system being set up to carry out the method described above.
- the invention is characterized by a vehicle comprising the system described above for operating peripheral devices of the vehicle.
- FIG. 1 schematically shows an exemplary system for operating peripheral devices of a vehicle
- FIG. 2 shows an exemplary method for operating peripheral devices of a vehicle.
- the system 100 can be, for example, a control device or an infotainment system of a vehicle. Furthermore, the system 100 can be a control device for controlling the traction drive, the driver assistance systems, and/or the vehicle access. In the case of a control unit or an infotainment system in a vehicle with a number of peripheral devices, it is often not possible to switch the integrated circuits of the peripheral devices to an energy-saving operating state. An energy-saving operating state can be achieved, for example, when the integrated circuit of a peripheral device is switched off, for example by switching off or interrupting a power supply to the integrated circuit.
- the system 100 can perform the method 200 for operating the peripherals as shown in FIG. 2 .
- the system 100 can continuously determine a target operating state for all peripheral devices of the system 100 .
- the target operating state defines which integrated circuits of the peripheral devices are required with regard to a current application context.
- the current application context includes all applications currently running on the system.
- the integrated circuits of the peripheral devices can include integrated circuits for wireless or wired communication interfaces, for example Bluetooth, WiFi and/or USB, display devices, cameras, positioning systems, satellite-based navigation systems, audio systems and/or video systems.
- the integrated circuits of the peripheral devices can be integrated with a computing unit, for example a processor or a system-on-a-chip, on one or more circuit boards of a control unit.
- Each integrated circuit of a peripheral device can be dynamically put into a low-power operating state.
- the energy-saving operating state can take place, for example, by resetting the integrated circuit using a reset pin of the integrated circuit or by switching off a power supply for the integrated circuit.
- Power may be turned off, for example, by a load balancer, such as an integrated circuit power supply switch, that controls power to a single integrated circuit, or by turning off a power rail to which multiple integrated circuits are connected.
- the system 100 can run, at the application level 102, multiple applications 104, 106, 108, 110, 112. Preferably, the system 100 can run multiple applications simultaneously.
- the applications can be background applications and applications with a graphical user interface.
- the applications can be native applications or applications running in a runtime environment. Any application can directly or indirectly generate one or more resource requests.
- a resource request may require resources of one or more integrated circuits of one or more peripheral devices. For example, one resource request may include communication via a Bluetooth chip as a first peripheral device and another resource request include audio output via the audio chip as a second peripheral device.
- the system 100 may include a resource request collection unit 114 .
- the resource request collection unit 114 is part of the operating system 116 of the system 100.
- the resource request collection unit 114 can receive a plurality of resource requests from one or more applications 202.
- a resource request from the plurality of resource requests can request resources from one or more peripheral devices from the plurality of peripheral devices Requests.
- the resource request collection unit 114 can receive all resource requests of any application running on the application layer 102 . Since the resource request collection unit 114 stores all resource requests of all applications of the system 100 in the database, the resource request collection unit 114 has a complete overview of the required resources of all resource requests.
- the resource request collection unit 114 can forward the resource requests of the applications to a driver software of the peripheral device.
- the resource request collector 114 may receive a copy of the applications' resource requests from the peripheral device driver software or another component of the operating system 116 .
- the resource request collection unit 114 may receive and store a message from the driver software of the peripheral device about a failure of a resource of the peripheral device integrated circuit.
- the driver software can report a hardware defect to the resource request collection unit 114 , which can be added to a resource request as additional information and stored in the database of the resource request collection unit 114 .
- the resource request collection unit 114 may store 204 the plurality of received resource requests.
- the resource request collection unit 114 may store the plurality of received resource requests in a database.
- a resource request can include a timestamp or a type. Includes the Resource request no time stamp, the resource request collection unit 114 can add a time stamp of the resource request, so that each resource request includes a time stamp.
- the type of resource request can be a read request, a write request, a configuration request, or a status request for a peripheral device.
- the resource request collection unit 114 may process the stored plurality of resource requests.
- the resource request collection unit 114 can determine a frequency of resource requests of the same type.
- the resource request collection unit 114 can store the determined frequency of the resource requests in the database together with the resource requests.
- the resource request collection unit 114 can aggregate all requests to a respective resource of a peripheral device for one or more predetermined time intervals.
- Table 1 shows an exemplary transformation of the time stamps of the resource requests into resource requests per time interval for three specified time intervals:
- the frequency of the resource requests for various specified time intervals from Table 1 gives an overview of the time sequence of the use of the integrated circuits of the peripheral devices by the applications.
- Table 1 shows that the integrated circuit for the navigation system was not used in the last 10s interval. Consequently, the integrated circuit of the navigation system can be turned off to to save energy.
- the integrated circuit for USB on the other hand, was only used in the last 10ms interval out of 1000 resource requests. This behavior can indicate the launch of a new application that uses a USB interface or an already running application that performs a function that requires the USB interface since the last 10ms interval.
- the integrated circuit for Bluetooth/WiFi has been used in the last 1s interval. The integrated circuit was not used for Bluetooth/WiFi in the 9s before because the integrated circuit was not needed.
- the integrated circuit for Bluetooth/WiFi could therefore have been switched off in this time interval.
- the serializer/deserializer IC has been continuously used by the ECU's applications for the last 10s. It is not possible to save energy with this integrated circuit.
- the integrated circuit for image processing was used in the last 10s interval, but only at the beginning of the last 10s interval, but not in the last second of the 10s interval. The integrated circuit for image processing is no longer required by the applications and can therefore be switched to an energy-saving operating mode.
- the transformation of the timestamp of the resource requests into requests per time interval for different time intervals can be used to determine characteristics for a resource decision unit 124, which can use a machine learning method of the resource decision unit 124, for example. Furthermore, by transforming the timestamp of the resource requests into requests per time interval, the number of resource requests stored in the database of the resource request collection unit 114 can be reduced. The resource requests whose time stamp has been processed by the resource request collection unit can be removed from the database.
- the resource request collection unit 114 can continuously transmit the resource requests, the time stamp, the frequency of the resource requests to the resource decision unit 124, and/or all other data stored in the database to the resource decision unit 124.
- the resource decision unit 124 can receive from the resource request collection unit 114 the resource requests, the time stamp, the frequency of the resource requests and all other data stored in the database of the resource request collection unit 114 receive. Furthermore, the resource decision unit 124 can receive 206 a resource configuration profile from a process control unit 126.
- the resource decision unit 124 can determine from the received data which resources of the peripheral devices are currently required. In particular, the resource decision unit 124 can determine which integrated circuits of the peripheral devices are currently required and which are not required. For this purpose, the resource decision unit 124 can determine a target operating state for each integrated circuit of the peripheral devices depending on the received multitude of resource requests and the received resource configuration profile 208. The target operating state determines for each integrated circuit of the peripheral devices whether the integrated circuit is in an energy-saving operating state can be set or must continue to be operated.
- the resource decision unit 124 can determine the decision about the target operating state of each integrated circuit based on rules. Additionally or alternatively, the resource decision unit 124 can determine the decision about the target operating state using a machine learning method, for example a neural network.
- the neural network can be trained on a vehicle-external server.
- the resource decision unit 124 can determine the target operating state as a multi-class classification problem for all integrated circuits of the peripheral devices or as a binary classification problem for each individual integrated circuit.
- the feature vector for the multi-class classification problem can be generated using the resource configuration profile and/or the collected and/or transformed resource requests.
- the resource configuration profile may include features that are added to the feature vector.
- the resource configuration profile may specify a maximum boot time and/or a maximum latency for each integrated circuit. The maximum start time and/or the maximum latency can be added as features to the feature vector.
- combinations of peripheral devices that occur in specific application scenarios and form a class of the multiclass classification problem can be specified for the multiclass classification problem.
- the resource decision unit 124 can determine the target operating state for each individual integrated circuit of the peripheral devices as a binary classification problem. The result of the binary classification is that the corresponding integrated circuit should either be switched on or switched off.
- Both classification problems, the multi-class classification problem and the binary classification problem can be solved by known, linear and/or non-linear classification algorithms.
- linear and non-linear classification algorithms are: deep neural networks, decision trees, k-nearest neighbors, or support vector machines.
- Which classification algorithm is used by the resource decision unit can depend on the number of classes, the available computing power of the control unit, and the complexity of the scenario, for example the number of applications running simultaneously and/or the resources these applications require.
- the classification algorithm of the resource decision unit 124 can be determined by the received configuration profile.
- the resource decision unit 124 can comprise a state machine.
- the state machine can delay a transmission of the target operating states to a resource provision unit 128 .
- the state machine can apply a filter to the target operating states of the peripheral devices.
- the filter can be a low band filter or a hysteresis curve. By applying the filter to the target operating states, rapid, short-term changes in the operating modes of the integrated circuits can be eliminated. Frequent switching off and on of the integrated circuits of the peripheral devices can be avoided at time periods in which no energy saving or only an energy jump less than a predetermined minimum threshold can be achieved by switching off one or more integrated circuits, and/or a latency greater than a predetermined maximum threshold is caused by turning on one or more integrated circuits.
- the resource decision unit 124 uses a neural network for determining the target operating conditions.
- the training of the neural network can be monitored on a vehicle-external server.
- the data for training the Neural networks can be generated by individual applications and/or combinations of applications being executed on a control unit, the resource requests being collected by the resource request collection unit 114, and the collected resource requests being provided with a marker with the corresponding class of required and non-required resources.
- the neural network can be trained with resource requests from erroneous target operating states. For this purpose, the resource requests and the erroneous desired operating states can be transmitted from the vehicle to the vehicle-external server.
- the vehicle-external server can transmit adjusted weights for the neural network to the vehicle, in particular to the process control unit 126, after learning the resource requests from faulty setpoint operating states.
- the process control unit 126 may transmit the adjusted neural network weights to the resource decision unit 124 as parameters of the resource configuration profile.
- the resource decision unit 124 can transmit the target operating states to the resource provision unit 128 .
- the resource provision unit 128 can receive the target operating states of the resource decision unit 124 .
- the resource provision unit 128 can control 210 the multiplicity of peripheral devices depending on the specific target operating state in such a way that an actual operating condition of a respective peripheral device of the multiplicity of peripheral devices corresponds to the specific target operating state of the respective peripheral device of the multiplicity of peripheral devices.
- the resource provision unit 128 controls the integrated circuits by means of a processor 132, which executes the switching off and on of the integrated circuits of the peripheral devices 134, 136, 138 at the hardware level 130 of the system.
- the peripheral integrated circuits can be turned on and off by turning on or off the power rails, special power distribution circuitry and/or putting the integrated circuit into a low power reset state.
- the process control unit 126 can monitor and control the resource request collection unit 114 , the resource decision unit 124 , and the resource provision unit 128 .
- the process control unit 126 can overrule a decision about a target operating state of the resource decision-making unit 124 and the resource decision-making unit 124 that Resource request collection unit 114 and / or disable the resource provision unit 128 so that no target operating states are determined and executed.
- the process control unit can determine that a resource must never be switched off and/or put into a power-saving operating state, even if the integrated circuit of the peripheral device is not required.
- the process control unit can add a rule for this resource in the resource configuration profile, which the resource decision unit 124 must always take into account.
- the system 100 and method 200 may dynamically turn off peripherals of a vehicle controller when a plurality of applications do not require one or more peripherals.
- the control device and the peripheral devices of the control device can be operated in a more energy-efficient manner.
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Power Sources (AREA)
Abstract
Description
Claims
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202180090308.8A CN116685913A (zh) | 2021-02-16 | 2021-09-28 | 用于运行车辆的多个外围设备的方法、计算机可读介质、系统和车辆 |
US18/263,524 US20240104028A1 (en) | 2021-02-16 | 2021-09-28 | Method for Operating a Multiplicity of Peripherals of a Vehicle, Computer-Readable Medium, System, and Vehicle |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
DE102021103569.4A DE102021103569A1 (de) | 2021-02-16 | 2021-02-16 | Verfahren zum Betreiben von einer Vielzahl von Peripheriegeräten eines Fahrzeugs, computerlesbares Medium, System, und Fahrzeug |
DE102021103569.4 | 2021-02-16 |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2022174941A1 true WO2022174941A1 (de) | 2022-08-25 |
Family
ID=78269600
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/EP2021/076695 WO2022174941A1 (de) | 2021-02-16 | 2021-09-28 | Verfahren zum Betreiben von einer Vielzahl von Peripheriegeräten eines Fahrzeugs, computerlesbares Medium, System, und Fahrzeug |
Country Status (4)
Country | Link |
---|---|
US (1) | US20240104028A1 (de) |
CN (1) | CN116685913A (de) |
DE (1) | DE102021103569A1 (de) |
WO (1) | WO2022174941A1 (de) |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20050230977A1 (en) * | 2004-04-19 | 2005-10-20 | Ford Global Technologies, Llc | Method and system for determining engine state of a hybrid electric vehicle |
KR100648255B1 (ko) * | 2005-11-25 | 2006-11-24 | 한국단자공업 주식회사 | 모스트시스템의 자동파워제어장치 |
US20120109407A1 (en) * | 2010-11-03 | 2012-05-03 | Broadcom Corporation | Power management within a vehicular communication network |
US20200114768A1 (en) * | 2018-10-15 | 2020-04-16 | Ford Global Technologies, Llc | Energy-consumption detection of vehicles in an off state |
Family Cites Families (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE19709317B4 (de) | 1997-03-07 | 2008-04-30 | Robert Bosch Gmbh | Verfahren und Vorrichtung zur Steuerung eines Fahrzeugs |
JP5262936B2 (ja) | 2009-04-07 | 2013-08-14 | 株式会社デンソー | 車両制御装置 |
US8335935B2 (en) | 2010-03-29 | 2012-12-18 | Intel Corporation | Power management based on automatic workload detection |
-
2021
- 2021-02-16 DE DE102021103569.4A patent/DE102021103569A1/de active Pending
- 2021-09-28 WO PCT/EP2021/076695 patent/WO2022174941A1/de active Application Filing
- 2021-09-28 CN CN202180090308.8A patent/CN116685913A/zh active Pending
- 2021-09-28 US US18/263,524 patent/US20240104028A1/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20050230977A1 (en) * | 2004-04-19 | 2005-10-20 | Ford Global Technologies, Llc | Method and system for determining engine state of a hybrid electric vehicle |
KR100648255B1 (ko) * | 2005-11-25 | 2006-11-24 | 한국단자공업 주식회사 | 모스트시스템의 자동파워제어장치 |
US20120109407A1 (en) * | 2010-11-03 | 2012-05-03 | Broadcom Corporation | Power management within a vehicular communication network |
US20200114768A1 (en) * | 2018-10-15 | 2020-04-16 | Ford Global Technologies, Llc | Energy-consumption detection of vehicles in an off state |
Also Published As
Publication number | Publication date |
---|---|
CN116685913A (zh) | 2023-09-01 |
DE102021103569A1 (de) | 2022-08-18 |
US20240104028A1 (en) | 2024-03-28 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
DE10141626B4 (de) | Dynamische Angleichung von Leistungsvermögen und Strombedarf | |
DE112016003239T5 (de) | Steuerung der lastteilung zwischen mehreren motoren | |
DE102009060267A1 (de) | Leerlaufzeit-Bericht für ein Power-Management | |
DE102008050272A1 (de) | Leistungsversorgungsmanagementvorrichtung für ein Fahrzeug | |
DE102019135197A1 (de) | Ausgleichssystem für wiederaufladbare energiespeicheranordnung mit mehreren parallelen einheiten | |
DE19749068A1 (de) | Verfahren und Vorrichtung zur Überwachung eines Rechnersystems bestehend aus wenigstens zwei Prozessoren | |
WO2020169388A1 (de) | Steuergerät für ein automatisiert betreibbares fahrzeug, mobiles rechenzentrum, rechnerverbund, von dem steuergerät ausgeführtes verfahren und computerprogrammprodukt zum mobilen verarbeiten von nutzerdaten | |
DE10393396B4 (de) | Schnittstelle und Vorrichtungstreiber zum lokalen Leistungsmanagement sowie Verfahren und Software zu deren Steuerung | |
DE102020107346A1 (de) | Dynamischer kraftstoffsparmodus | |
DE102020118005A1 (de) | Verfahren und einrichtung zum dynamischen drosseln von rechenengines | |
DE102015225296B4 (de) | System und Verfahren zum Regeln der LDC-Spannung eines Hybridfahrzeugs | |
DE112012004063T5 (de) | Stromversorgungseinheit und Steuerverfahren dafür | |
WO2005055056A1 (de) | Laden von software-modulen | |
DE102015224823B4 (de) | Elektronische Steuervorrichtung | |
WO1996019759A1 (de) | Verfahren zur steuerung von technischen vorgängen | |
WO2022174941A1 (de) | Verfahren zum Betreiben von einer Vielzahl von Peripheriegeräten eines Fahrzeugs, computerlesbares Medium, System, und Fahrzeug | |
DE102019111564A1 (de) | Verfahren und system zum konfigurieren von filterobjekten für eine controller area network-steuerung | |
DE102016125023A1 (de) | Verfahren zum Betreiben eines Druckservers für digitale Hochleistungsdrucksysteme | |
DE102019004612A1 (de) | Verfahren zum Betreiben eines Fahrzeugs mit einem Steuergerät | |
DE102009005683B4 (de) | Verfahren, Programmprodukt und System zum Steuern des Schaltens zwischen Betriebsmodi in einem Hybridahrzeug | |
DE102022110601A1 (de) | Spielwinkelbestimmung | |
DE10321229A1 (de) | Gegenkontrollierende Prozessoren für Antriebsstrangsteuerungssysteme, die eine dedizierte serielle Datenleitung verwenden | |
DE112021002403T5 (de) | Fahrzeugsteuervorrichtung | |
DE112009001842T5 (de) | Steuervorrichtung, Steuerverfahren und Computerprogramm | |
DE102008003023A1 (de) | Fahrzeugparameterinfrastruktur-Sicherheitsstrategie |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 21794308 Country of ref document: EP Kind code of ref document: A1 |
|
WWE | Wipo information: entry into national phase |
Ref document number: 202180090308.8 Country of ref document: CN |
|
WWE | Wipo information: entry into national phase |
Ref document number: 18263524 Country of ref document: US |
|
NENP | Non-entry into the national phase |
Ref country code: DE |
|
122 | Ep: pct application non-entry in european phase |
Ref document number: 21794308 Country of ref document: EP Kind code of ref document: A1 |