Charging equipment and system

Abstract

The invention discloses charging equipment and a charging system, and aims to solve the problem of utilization of surplus computing power of an automobile and a robot in a charging or idle state. On the basis of a traditional charging function, the charging equipment integrates an optical fiber communication link, and is used for uploading computing power data of an automobile or a robot and downlink task data, so that physical connection with a computing power center is realized. The charging pile becomes a relay station for integrating surplus computing power of the vehicle and the robot, and the computing power can be uniformly allocated to a computing power center or a family application scene. The equipment integrates wired optical fiber communication, high-power wired vehicle fast charging, high-power wireless robot fast charging and wireless communication technologies, and a basis is provided for computing power sharing of high-computing-power hardware equipment in the future.

Description

TECHNICAL FIELD

[0001] The present application relates to a charging device, in particular to a charging device capable of physically connecting the surplus computing power of a vehicle or a robot to a computing power center. BACKGROUND

[0002] With the rapid development of autonomous driving technology, vehicles equipped with L1 / L2 level ADAS functions have entered the mass production stage, and intelligent driving domain controllers with higher order ADAS capabilities have also been installed. In high-order intelligent driving schemes, dual-chip or multi-chip solutions are often used to ensure functional safety. This means that a single vehicle intelligent driving domain controller has strong computing and processing capabilities, but during vehicle parking or charging, this part of computing power resources is wasted and idle, and cannot be fully utilized.

[0003] At the same time, with the continuous advancement of V2X technology and 5G communication technology, computing power network technology is also a future trend. Computing power network technology aims to integrate and optimize the allocation and use of computing resources. It connects and coordinates computing resources (such as CPU, GPU, storage, etc.) through a network to form an efficient and flexible computing platform.

[0004] In addition, the rapid development of the robot industry also has similar computing power sharing and efficient charging needs. SUMMARY

[0005] To solve the above technical problems, the present application provides a charging device, comprising:

[0006] a charging module for providing power to the intelligent device;

[0007] an optical fiber communication module integrated in the charging device for establishing an optical fiber data transmission link between the intelligent device and an external computing power processing facility to transmit data related to computing tasks.

[0008] Further, the charging device includes a charging gun, the optical fiber communication module includes an optical fiber disposed in the charging gun and an optical fiber connector connected to the optical fiber, and the optical fiber connector is used to mate with an optical fiber interface at the intelligent device interface.

[0009] Further, the optical fiber is arranged in parallel with the power cable in the charging gun housing, and the optical fiber is disposed between two low-voltage pins responsible for the handshake protocol.

[0010] Further, the charging gun is provided with a sensing module connected to the optical fiber communication module for sensing the connection state of the charging gun and the intelligent device, terminating data transmission before the charging gun is pulled out of the intelligent device, and synchronously triggering the redistribution of unfinished data by the computing power center.

[0011] Further, the charging device further comprises a high-power wireless charging module for wireless charging of the smart device.

[0012] Further, the charging device further comprises a wireless communication module for wireless data communication between the charging device and the smart device, so that the charging device acts as a relay station, calls and transmits the surplus computing power data of the smart device.

[0013] Further, the optical fiber communication module is used to upload the surplus computing power of the smart device and download the computing task allocation data.

[0014] Further, the smart device is a car or a robot.

[0015] The application also provides a system for sharing computing power by using a charging device, comprising:

[0016] At least one charging device as described above;

[0017] And a computing power scheduling center for data interaction with connected smart devices through the optical fiber communication module or the wireless communication module of the charging device, allocation of computing tasks and recovery of processing results.

[0018] Further, the charging device can transform multiple charging stations into small-scale computing power centers, and these small-scale computing power centers can be connected to the computing power scheduling center.

[0019] Further, the system comprises:

[0020] A load prediction module: analyzing the historical demand load and historical supply load of the charging pile in the historical period, determining all predicted demand loads and predicted supply loads in the prediction period;

[0021] A time period analysis module: determining the demand peak period according to the predicted demand load and the predicted supply load;

[0022] A continuity analysis module: analyzing the continuity of the demand peak period to determine continuous peak periods and non-continuous peak periods;

[0023] A signal generation module: analyzing the supply and demand state of the load, determining the supply and demand load deviation value, generating continuous peak-shifting signals and non-continuous peak-shifting signals;

[0024] An interval determination module: based on the continuous peak-shifting signals and the non-continuous peak-shifting signals, determining the high supply and demand deviation value of the continuous peak period and the high supply and demand deviation value of the non-continuous peak period, analyzing the non-peak period, and determining the charging discount interval of the charging pile.

[0025] The application has the following beneficial effects:

[0026] The charging device provided by the application combines wired optical fiber communication, high-power wired fast charging, high-power wireless fast charging, and wireless communication technologies, and realizes effective distribution and utilization of redundant computing power of intelligent robot computing power, intelligent driving vehicle computing power, and high-computing-power hardware devices that may appear in the future in a charging scene.

[0027] The application provides a charging device, and the core of the charging device is integrated with an optical fiber communication function. The charging device, such as a charging gun, is internally provided with at least two optical fibers for uploading intelligent device computing power and downloading task distribution data. The optical fiber communication has the advantages of large bandwidth, no electromagnetic interference, and strong anti-interference capability, and can ensure smooth data transmission in a complex computing task scene.

[0028] In order to ensure the safety and integrity of data transmission, the application adds a sensing module at the pressing lock position of the charging gun, which serves as a data protection switch and a coupling detection switch. The sensing module can instruct the system to end data transmission before the user presses the lock to pull out the charging gun, preventing data damage or loss. When data transmission is unexpectedly interrupted, the computing power center can mark the data that has not been processed and complete, and timely distribute it to other computing power sources for continuous processing.

[0029] In addition, in order to meet the development needs of robots, the application adds a high-power wireless charging module in the charging pile body to provide a safe and fast charging solution for robots. At the same time, the charging pile interacts with the robot in real time through wireless communication technology, acts as a relay station to call the idle computing power of the robot, and is used to solve other computing power shortage problems, so as to ensure that the robot realizes high-quality and high-efficiency communication and computing power sharing in the case of wireless cable connection. BRIEF DESCRIPTION OF DRAWINGS

[0030] In order to more clearly illustrate the technical solutions in the embodiments of the application, the drawings needed in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the application, and other drawings can be obtained by those skilled in the art without creative labor.

[0031] Figure 1 The figure is a schematic diagram of the application scenario.

[0032] Figure 2 The figure is a schematic diagram of the charging head with added optical fibers.

[0033] Figure 3 The figure is a schematic diagram of the energy flow and optical fiber data flow in the charging gun of the application. DETAILED DESCRIPTION

[0034] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0035] Example 1

[0036] like Figure 1 As shown, the charging device of this invention can be applied to upgrade traditional charging station self-organizing networks into small-scale distributed computing power centers. Connected smart terminals contribute their surplus computing power through the fiber optic links of the charging device. This computing power, aggregated by the charging station, can be further connected to large regional or national computing power centers to achieve unified scheduling and efficient utilization of computing resources. The smart terminals are high-computing-power hardware that requires charging, including but not limited to smart cars and smart robots. In a home setting, if a user owns a private charging pile, this solution can also be used to integrate the vehicle's surplus computing power into the home smart system, serving the various computing needs of family members and achieving deep integration of people, vehicles, and home resources.

[0037] Example 2

[0038] This invention proposes a charging device with fiber optic communication node functionality. One of the core innovations of this device is the integration of fiber optic communication capabilities into existing charging equipment (such as charging piles and charging guns) for data interaction between terminal devices such as vehicles and robots and computing centers, particularly for uploading surplus computing power and distributing computing tasks.

[0039] Reference Figure 2 The left figure shows the common structure of existing AC charging heads. This invention adds two optical fibers to this structure. These two optical fibers are positioned between the two low-voltage pins responsible for the handshake protocol. While retaining the original high-power charging circuit, charging protocol communication circuit, and other basic functions, the charging gun adds an optical fiber path. Figure 3As shown, there are energy flow (power cable, black arrow) and fiber data flow (fiber, gray arrow) inside the charging gun at the same time. The power cable is used to transmit electrical energy to the battery of the intelligent device, while the fiber cable is used for data transmission and communication. The fiber is integrated inside the charging gun shell and can be arranged in parallel with the power cable. The plug part of the charging gun contains power contacts and a fiber connector that ensures precise docking of the fiber of the charging gun with the fiber end at the intelligent device charging interface. After successful docking, the fiber establishes communication with the battery management system (BMS) or higher-level computing unit of the intelligent device through the communication module inside the charging gun, for transmitting charging status, battery information, and more importantly, computing power sharing data.

[0040] To ensure the integrity and security of data transmission, a sensor is added to the locking switch component (such as a press button) of the charging gun as a break judgment device. The locking switch can be designed on the top or side of the charging gun handle for easy user operation. When the user presses the locking switch to prepare to remove the charging gun head, the sensor detects this action and immediately sends a signal to the communication control module inside the charging gun through the electrical interface. The communication control module then terminates the fiber data upload and download tasks, ensuring that data transmission is safely completed before the physical connection is disconnected. The computing center will mark those data that have not been processed due to the removal of the gun operation, and will distribute them to other computing sources in a timely manner according to the needs until the computing task is completed. This judgment function can be implemented synchronously with the unlocking function after charging is completed. The locking switch can also include a status feedback interface to transmit its current state (on / off) to the charging pile or intelligent device for display or recording.

[0041] Embodiment Three

[0042] For new intelligent devices such as humanoid robots that are developing, their charging interfaces may not be compatible with the interfaces of conventional charging guns. The present application further integrates a high-power wireless charging module inside the charging pile body. This module adopts a mainstream wireless charging scheme and can provide safe, convenient, and efficient wireless charging services for humanoid robots.

[0043] In order to fully utilize the computing power of robots during charging, the charging pile is also equipped with wireless communication technology (such as Wi-Fi, 5G, etc.).

[0044] The charging pile is equipped with an edge computing unit to preliminarily process local computing power needs and reduce cloud load.

[0045] The charging pile interacts with the robot in real time through this wireless communication technology, acting as a relay station. It can call on the excess computing power of the robot and upload these computing power resources to the home application scenario or a unified computing center for deployment through its fiber uplink or other network connections.

[0046] Using the charging pile as a relay station can ensure the convenience of the overall wireless cable connection of the robot while providing the best communication quality and the highest transmission efficiency.

[0047] Embodiment Four

[0048] The application also provides a charging regulation system based on power consumption behavior analysis, which can be realized by software and / or hardware, and can be configured in a charging device or a computing power center. The embodiments of the application do not limit this.

[0049] The charging regulation system comprises:

[0050] The load prediction module: analyzes the historical demand load and the historical supply load of the charging pile in the historical period, and determines all the predicted demand loads and the predicted supply loads in the prediction period;

[0051] Specifically, in the historical period, the historical demand load and the historical supply load of all users are monitored and obtained by the optical fiber sensor;

[0052] The prediction period is preset, the prediction period is divided into a plurality of time intervals equal time periods, denoted as prediction periods, and the historical period is divided into a plurality of time intervals equal time periods, denoted as historical periods;

[0053] It should be noted that the time interval of the prediction period is the same as the time interval of the historical period;

[0054] The historical demand load in the historical period is counted, denoted as the unit demand load;

[0055] It should be noted that the unit demand load is the sum of the user demand in the current period, and the historical unit demand load is not accumulated;

[0056] All the unit demand loads in the historical period are integrated into a demand load set according to the time sequence, and the moving average value of the demand load corresponding to the sliding window is determined using the sliding window average method;

[0057] The moving average value corresponding to the prediction period is extracted as the predicted demand load of the prediction period, the sliding window is moved by one unit demand load along the time axis direction, the moving average value of the new sliding window is calculated again, and the process is repeated until all the predicted demand loads in the prediction period are obtained;

[0058] The historical supply load in the historical period is counted, denoted as the unit supply load;

[0059] It should be noted that the unit supply load is the sum of the load that all charging piles in the monitoring area can provide in the current period, and the historical unit supply load is not accumulated;

[0060] All unit supply load in the historical period is integrated into a supply load set according to time sequence, and the moving average value of the supply load corresponding to the sliding window is determined by using the sliding window average method;

[0061] The moving average value corresponding to the supply load in the prediction period is extracted as the predicted supply load in the prediction period, the sliding window is moved by one unit supply load along the time axis direction, the moving average value of the new sliding window is calculated again, and the process is repeated until all predicted supply loads in the prediction period are obtained.

[0062] The period analysis module: according to the predicted demand load and the predicted supply load, the demand peak period is determined;

[0063] The predicted demand load is compared with the predicted supply load, and the specific process is as follows:

[0064] If the predicted demand load is greater than the predicted supply load, the corresponding prediction period is marked as a demand peak period;

[0065] If the predicted demand load is less than or equal to the predicted supply load, the corresponding prediction period is marked as a demand low peak period;

[0066] The continuity analysis module: analyzing the continuity of the demand peak period, determining the continuous peak period and the non-continuous peak period;

[0067] Specifically, the marking results of all prediction periods in the prediction period are integrated into a period list according to time sequence;

[0068] It should be noted that if there is no demand peak period in the period list, no processing is performed;

[0069] All prediction periods after the first demand peak period in the period list are traversed, and whether each subsequent prediction period is a demand peak period is retrieved until the first demand low peak period or the end of the list;

[0070] The number of demand peak periods between the start time point of the first demand peak period and the start time point of the first demand low peak period is counted, and if the number of demand peak periods between the start time point of the first demand peak period and the start time point of the first demand low peak period is greater than or equal to 2, the first demand peak period is continuous, and the demand peak periods between the start time point of the first demand peak period and the start time point of the first demand low peak period are recorded as the continuous peak period;

[0071] If the number of demand peak periods between the start time point of the first demand peak period and the start time point of the first demand low peak period is 1, it means that the first demand peak period only appears once, and the corresponding demand peak period is recorded as the non-continuous peak period;

[0072] It should be noted that the first demand low peak period refers to the demand low peak period after the first demand high peak period in the time sequence;

[0073] The signal generation module analyzes the supply and demand state of the load, determines the supply and demand load deviation value, generates a continuous peak-shifting signal and a non-continuous peak-shifting signal;

[0074] All predicted demand loads in the continuous high peak period are counted and recorded as the total high demand load;

[0075] All predicted supply loads in the continuous high peak period are counted and recorded as the continuous supply load;

[0076] The total high demand load is subtracted from the continuous supply load to obtain the supply and demand load deviation value of the continuous high peak period;

[0077] The supply and demand load deviation value of the continuous high peak period is compared with the supply and demand load deviation threshold value of the continuous high peak period, and the specific process is as follows:

[0078] If the supply and demand load deviation value of the continuous high peak period is greater than the supply and demand load deviation threshold value of the continuous high peak period, it indicates that the demand load of the user in the continuous high peak period is significantly different from the supply load that the charging pile can provide, and a continuous peak-shifting signal is generated;

[0079] If the supply and demand load deviation value of the continuous high peak period is less than or equal to the supply and demand load deviation threshold value of the continuous high peak period, it indicates that the demand load of the user in the continuous high peak period is not significantly different from the supply load that the charging pile can provide, and a normal signal is generated;

[0080] The predicted demand load and the predicted supply load corresponding to the non-continuous high peak period are subtracted to obtain the supply and demand load deviation value of the non-continuous high peak period;

[0081] The supply and demand load deviation value of the non-continuous high peak period is compared with the supply and demand load deviation threshold value of the non-continuous high peak period, and the specific process is as follows:

[0082] If the supply and demand load deviation value of the non-continuous high peak period is greater than the supply and demand load deviation threshold value of the non-continuous high peak period, it indicates that the demand load of the user in the non-continuous high peak period is significantly different from the supply load that the charging pile can provide, and a non-continuous peak-shifting signal is generated;

[0083] If the supply and demand load deviation value of the non-continuous high peak period is less than or equal to the supply and demand load deviation threshold value of the non-continuous high peak period, it indicates that the demand load of the user in the non-continuous high peak period is not significantly different from the supply load that the charging pile can provide, and a normal signal is generated;

[0084] Interval determination module: based on the continuous staggered peak signal and the non-continuous staggered peak signal, the high supply and demand deviation value of the continuous peak period and the high supply and demand deviation value of the non-continuous peak period are determined, the non-peak period is analyzed, and the charging preferential interval segment of the charging pile is determined;

[0085] Specifically, the supply and demand load deviation value of the continuous peak period when the continuous staggered peak signal is generated is extracted, which is recorded as the high supply and demand deviation value of the continuous peak period;

[0086] The supply and demand load deviation value of the non-continuous peak period when the non-continuous staggered peak signal is generated is extracted, which is recorded as the high supply and demand deviation value of the non-continuous peak period;

[0087] Based on any one high supply and demand deviation value;

[0088] The predicted supply load and the predicted demand load in the demand low peak period are subtracted to obtain the low supply and demand deviation value DP of the demand low peak period;

[0089] The demand low peak period is sorted according to the low supply and demand deviation value from large to small to obtain a low peak period sequence table;

[0090] From the sorted low peak period sequence table, the demand low peak period is selected in turn, and the formula is: The cumulative deviation value LP is calculated, wherein i=1,2,…,k, k≤n, k represents the total number of demand low peak periods corresponding to the low supply and demand deviation value for accumulation, n represents the total number of demand low peak periods in the low peak period sequence table, and DP i represents the low supply and demand deviation value of the i-th demand low peak period in the low peak period sequence table;

[0091] If the cumulative deviation value is greater than or equal to the high supply and demand deviation value, the demand low peak period corresponding to the low supply and demand deviation value for accumulation is extracted, which is the charging preferential interval segment of the charging pile;

[0092] If the cumulative deviation value is less than the high supply and demand deviation value, all demand low peak periods in the low peak period sequence table are extracted, which is the charging preferential interval segment of the charging pile;

[0093] The embodiment determines the electricity demand peak period by analyzing the historical demand load and the historical supply load of the charging pile in the historical period, and determines the charging preferential interval segment of the charging pile according to the determined electricity demand peak period. On the one hand, it can avoid the charging difficulty and equipment overload problem caused by power shortage in the peak period; on the other hand, it can fully utilize the charging resources in the low peak period, improve the utilization rate of the charging equipment, and reduce the operating cost.

[0094] In the above embodiments, the description of each embodiment focuses on different aspects, and the parts not described in detail or recorded in a certain embodiment can be referred to the relevant description of other embodiments.

[0095] Those skilled in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be realized in electronic hardware or a combination of computer software and electronic hardware. Whether the functions are realized in hardware or software depends on the specific application and design constraints of the technical solution. The skilled person can use different methods to realize the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

[0096] In the embodiments disclosed in the present application, it should be understood that the disclosed apparatus / terminal device and method can be implemented in other ways. For example, the apparatus / terminal device embodiments described above are only schematic, for example, the division of the modules or units is only a logical function division, and actual implementation can have another division manner, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed.

[0097] In addition, the coupling or direct coupling or communication connection between the displayed or discussed each other can be indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0098] The units described as separate components can or can not be physically separated, and the components displayed as units can or can not be physical units, that is, they can be located in one place, or can be distributed on a plurality of network units. According to the actual needs, some or all of the units can be selected to achieve the purpose of the embodiment.

[0099] The above formulas are dimensionless values calculated, and the formulas are obtained by collecting a large amount of data to simulate the latest real situation, and the preset parameters in the formula are set by the person skilled in the art according to the actual situation.

[0100] The above describes one embodiment of the present application in detail, but the content described is only the preferred embodiment of the present application, and cannot be considered as limiting the scope of the present application. Any equivalent changes and improvements made according to the scope of the present application should still belong to the patent coverage range of the present application.

Claims

1. A charging device, characterized in that, include: A charging module is used to provide power to smart devices; An optical fiber communication module, integrated into the charging device, is used to establish an optical fiber data transmission link between the smart device and the external computing power processing facility to transmit data related to computing tasks.

2. The charging device according to claim 1, characterized in that, The charging device includes a charging gun, and the optical fiber communication module includes an optical fiber disposed in the charging gun and an optical fiber connector connected to the optical fiber. The optical fiber connector is used to mate with the optical fiber interface at the interface of the smart device.

3. The charging device according to claim 2, characterized in that, The optical fiber and the power cable are arranged in parallel inside the charging gun housing, and the optical fiber is positioned between the two low-voltage pins responsible for the handshake protocol.

4. The charging device according to claim 2 or 3, characterized in that, The charging gun is equipped with a sensing module, which is connected to an optical fiber communication module. The sensing module is used to sense the connection status between the charging gun and the smart device, terminate data transmission before the charging gun is unplugged from the smart device, and simultaneously trigger the computing center to redistribute the unfinished data.

5. The charging device according to claim 1, characterized in that, The charging device also includes a high-power wireless charging module for wirelessly charging smart devices.

6. The charging device according to claim 5, characterized in that, The charging device also includes a wireless communication module for wireless data communication between the charging device and the smart device, enabling the charging device to act as a relay station to call upon and transmit the surplus computing power data of the smart device.

7. The charging device according to claim 1, characterized in that, The fiber optic communication module is used to upload surplus computing power from smart devices, as well as downlink computing task allocation data.

8. The charging device according to claim 1, characterized in that, The smart device is a car or a robot.

9. A system for sharing computing power using charging equipment, characterized in that, include: At least one charging device as described in any one of claims 1 to 8; And a computing power scheduling center, used to interact with connected smart devices through the fiber optic communication module or wireless communication module of the charging equipment, allocate computing tasks and collect processing results.

10. The system according to claim 9, characterized in that, The charging equipment can transform multiple charging stations into small-scale computing centers, and can connect these small-scale computing centers to the computing power scheduling center.

11. The system according to claim 9, characterized in that, include: Load forecasting module: Analyzes the historical demand load and historical supply load of charging piles within the historical period to determine all forecasted demand load and forecasted supply load within the forecast period; Time Period Analysis Module: Determines peak demand periods based on forecasted demand load and forecasted supply load; Continuity Analysis Module: Analyzes the continuity of peak demand periods to determine continuous and discontinuous peak periods; Signal generation module: Analyzes the supply and demand status of the load, determines the supply and demand load deviation value, and generates continuous peak shaving signals and discontinuous peak shaving signals; The interval determination module: Based on continuous peak-shifting signals and discontinuous peak-shifting signals, it determines the high supply-demand deviation value during continuous peak periods and the high supply-demand deviation value during discontinuous peak periods, analyzes off-peak periods, and determines the charging discount interval of charging piles.

Images