A charging device, a charging cloud platform and a charging system

Abstract

This application provides a charging device, a charging cloud platform, and a charging system. The charging device includes a temperature controller and a temperature sensor. The temperature sensor detects the temperature of the charging device, and the temperature controller adjusts the temperature of the charging device. The charging device is used to: transmit temperature control data during the output of DC power, including the temperature from the temperature sensor and the corresponding rotational speed of the temperature controller; receive an empirical temperature control curve, which is a curve showing the relationship between the temperature of the charging device and the rotational speed of the temperature controller. The empirical temperature control curve is fitted based on temperature control data from at least two charging devices, including the charging device itself and other charging devices besides the charging device; and control the rotational speed of the temperature controller based on the empirical temperature control curve and the temperature from the temperature sensor. The solution provided in this application can reduce the R&D investment in temperature control characteristics, thereby reducing economic and labor costs.

Description

Technical Field

[0001] This application relates to the field of charging, and more particularly to a charging device, a charging cloud platform, and a charging system. Background Technology

[0002] As the power of charging equipment increases, the heat generated by the equipment also increases, leading to higher temperatures. Currently, researchers test charging equipment from the same batch to obtain corresponding temperature control curves. Each charging device adjusts the rotation speed of its temperature control device according to these curves. However, this approach results in higher R&D investment, increasing both economic and labor costs. Summary of the Invention

[0003] This application provides a charging device, a charging cloud platform, and a charging system that can reduce the R&D investment in temperature control characteristics, thereby reducing economic and labor costs.

[0004] In a first aspect, a charging device is provided, comprising a temperature controller and a temperature sensor. The temperature sensor detects the temperature of the charging device, and the temperature controller adjusts the temperature of the charging device. The charging device is used to: transmit temperature control data during the output of DC power, the temperature control data including the temperature from the temperature sensor and the corresponding rotational speed of the temperature controller; receive an empirical temperature control curve, which is a curve showing the relationship between the temperature of the charging device and the rotational speed of the temperature controller, the empirical temperature control curve being fitted based on temperature control data from at least two charging devices, including the charging device itself and other charging devices besides the charging device; and control the rotational speed of the temperature controller based on the empirical temperature control curve and the temperature from the temperature sensor.

[0005] Since the empirical temperature control curve in this embodiment is fitted based on the temperature control data of at least two charging devices out of a plurality of charging devices, this empirical temperature control curve is suitable for these at least two charging devices. Each of these at least two charging devices can adjust the rotation speed of its own temperature control device according to the empirical temperature control curve. This eliminates the need to publish separate temperature control curves for each batch of charging devices, thereby reducing R&D investment in temperature control characteristics and consequently reducing economic and labor costs. Furthermore, in this embodiment, the rotation speed of the temperature control devices of at least two devices can be controlled using a single empirical temperature control curve, effectively achieving intelligent temperature control for the entire network. The entire process is simple and intelligent, greatly improving charging efficiency and thus enhancing the user experience.

[0006] Furthermore, the multiple charging devices in this application embodiment can be devices from different manufacturers. In this way, the empirical temperature control curve fitted based on the temperature control data of at least two of these multiple charging devices can be adapted to charging devices from different manufacturers, thereby facilitating the interconnection and interoperability of charging devices from different manufacturers.

[0007] In conjunction with the first aspect, in one embodiment, the rotational speed of the temperature control device corresponding to any temperature in the empirical temperature control curve is less than or equal to a first numerical multiple of the maximum rotational speed of the temperature control device corresponding to any temperature transmitted by at least two charging devices, where the first numerical multiple is greater than 1. Furthermore, the rotational speed of the temperature control device corresponding to any temperature in the empirical temperature control curve is greater than or equal to a second numerical multiple of the minimum rotational speed of the temperature control device corresponding to any temperature transmitted by at least two charging devices, where the second numerical multiple is less than 1.

[0008] Based on the above design, it can prevent the speed corresponding to a certain temperature in the empirical temperature control curve fitted by the charging cloud platform from being too high, which would lead to high energy consumption and high noise. It can also prevent the speed corresponding to a certain temperature in the empirical temperature control curve from being too low, which would fail to achieve the purpose of cooling. This allows the temperature control device in the charging equipment to be kept within a reasonable speed range, which is conducive to the normal operation of the charging equipment, and in turn, to the normal operation of the electric vehicle charging process, thus improving the user experience.

[0009] It should be noted that this application can design the difference between the first value and 1 to be less than the difference between 1 and the second value, that is, the deviation range of the lower limit in the empirical temperature control curve is greater than the deviation range of the upper limit. Since the lower the rotation speed of the temperature control device, the better the environmental performance, this design can improve the green environmental protection of the charging equipment, which is in line with the concept of "green and environmentally friendly" new energy and is conducive to the further development and application of charging equipment.

[0010] In conjunction with the first aspect, in one embodiment, the charging device includes a plurality of temperature control devices and a plurality of temperature sensors, each temperature sensor being used to detect the temperature of a corresponding device at its location; each temperature control device is associated with at least some of the plurality of temperature sensors, and each temperature control device is used to adjust the temperature of the corresponding device detected by at least some of the temperature sensors.

[0011] In this way, when the temperature sensor temperature is high, the rotation speed of the temperature control device associated with the temperature sensor can be adjusted to reduce the temperature of the device or coolant detected by the temperature sensor. This is beneficial for the precise control of the charging equipment, which can improve the reliability and charging efficiency of the charging equipment, thereby enhancing the user experience.

[0012] In conjunction with the first aspect, in one embodiment, the charging device is further configured to: reduce the charging power of the DC power output by the charging device when, after increasing the rotation speed of the temperature control device associated with the temperature sensors, the temperature of the temperature sensors still exceeds the preset temperature threshold when the temperature of some of the temperature sensors exceeds the preset temperature threshold.

[0013] In this way, by reducing the charging power of the DC power output by the charging device, the heat generated by the charging device can be reduced, thereby increasing the likelihood of normal charging and preventing damage caused by excessive heat, thus extending the service life of the charging device.

[0014] Secondly, a charging cloud platform is provided, which is used to: receive temperature control data from multiple charging devices, the temperature control data including the temperature of the temperature sensor and the rotation speed of the corresponding temperature control device; and send empirical temperature control curves to at least two of the multiple charging devices, the empirical temperature control curves being the relationship curve between the temperature of the charging device and the rotation speed of the temperature control device, the empirical temperature control curves being fitted based on the temperature control data of at least two of the multiple charging devices.

[0015] Since the empirical temperature control curve in this embodiment is fitted based on the temperature control data of at least two of the multiple charging devices, in other words, the charging cloud platform can fit the empirical temperature control curve based on the temperature control data of at least two of the multiple charging devices. Therefore, the empirical temperature control curve is suitable for these at least two charging devices, that is, these at least two charging devices can adjust the rotation speed of their own temperature control devices according to the empirical temperature control curve. In this way, it is not necessary to publish the temperature control curve of each batch of charging devices separately, thereby reducing the R&D investment in temperature control characteristics, which can reduce economic and labor costs.

[0016] Furthermore, the charging cloud platform in this application embodiment fits an empirical temperature control curve based on the temperature control data of at least two charging devices and sends it to at least two devices, so that at least two charging devices can control the rotation speed of the temperature control device based on the empirical temperature control curve, which is equivalent to realizing intelligent temperature control of the whole network. The whole process is simple and intelligent, greatly improving charging efficiency and thus enhancing the user experience.

[0017] In conjunction with the second aspect, in one embodiment, the charging cloud platform is further configured to: receive charging parameters of DC power output from multiple charging devices, the charging parameters including at least one of charging power, charging voltage, and charging current. If the charging parameters of DC power from any two charging devices meet preset conditions, an empirical temperature control curve is sent to each of the multiple charging devices; if the charging parameters of DC power from some charging devices do not meet the preset conditions compared to the charging parameters of other charging devices, an empirical temperature control curve is sent to the remaining charging devices. The preset conditions include at least one of the following: the ratio of identical charging parameters of DC power from two charging devices is within a first preset range, and the difference between identical charging parameters of DC power from two charging devices is within a second preset range.

[0018] In this embodiment, the charging cloud platform can select different charging devices to fit temperature control data based on whether the charging parameters of multiple charging devices meet preset conditions and send empirical temperature control curves. The purpose of this design is that the empirical temperature control curve fitted by the charging cloud platform is relatively more accurate and more effective. This is because, if the DC charging parameters of any two charging devices meet preset conditions, it indicates that the differences in charging parameters among these devices are small. Therefore, the charging cloud platform can fit an empirical temperature control curve based on the temperature control data of these devices and send the empirical temperature control curve to all charging devices. However, if the DC charging parameters of some charging devices do not meet preset conditions, it indicates that the charging parameters of some devices differ significantly from those of the others. Forcibly fitting an empirical temperature control curve based solely on the temperature control data of multiple devices would result in an inaccurate representation of the temperature control characteristics of all devices. Therefore, the charging cloud platform can fit an empirical temperature control curve based on the temperature control data of the remaining devices and send it to these devices. Upon receiving the empirical temperature control curve, the charging device can control the rotation speed of its corresponding temperature control device, maintaining the temperature within a reasonable range, thereby improving charging efficiency and enhancing the user experience.

[0019] In conjunction with the second aspect, in one embodiment, the rotational speed of the temperature control device corresponding to any temperature in the empirical temperature control curve is less than or equal to a first numerical multiple of the maximum rotational speed of the temperature control device corresponding to any temperature of at least two charging devices, where the first numerical multiple is greater than 1; and the rotational speed of the temperature control device corresponding to any temperature in the empirical temperature control curve is greater than or equal to a second numerical multiple of the minimum rotational speed of the temperature control device corresponding to any temperature of at least two charging devices, where the second numerical multiple is less than 1.

[0020] This prevents the speed corresponding to a certain temperature in the empirical temperature control curve fitted by the charging cloud platform from being too high, which would lead to high energy consumption and high noise. It also prevents the speed corresponding to a certain temperature in the empirical temperature control curve from being too low, which would fail to achieve the purpose of cooling. As a result, the temperature control device in the charging equipment can be kept within a reasonable speed range, which is conducive to the normal operation of the charging equipment, and in turn, to the normal operation of the electric vehicle charging process, thus improving the user experience.

[0021] It should be noted that, under normal circumstances, the difference between the first value and 1 is less than the difference between 1 and the second value. That is, the deviation range of the lower limit in the empirical temperature control curve is greater than the deviation range of the upper limit. Since the lower the rotation speed of the temperature control device, the better the environmental performance, this design is conducive to improving the green and environmentally friendly nature of the charging equipment, which is in line with the concept of "green and environmentally friendly" new energy, and thus conducive to the further development and application of charging equipment.

[0022] In conjunction with the second aspect, in one embodiment, the charging cloud platform is further configured to: receive the geographical locations of multiple charging devices; fit temperature control data from charging devices at the same geographical location into an empirical temperature control curve; and send the empirical temperature control curve to at least two of the multiple charging devices, including: the charging cloud platform sending the corresponding empirical temperature control curve to at least two charging devices.

[0023] Based on the above design, due to the unique geographical characteristics of subsets located in different regions, the charging cloud platform fits the temperature control data of charging devices in the same location into an empirical temperature control curve. That is, the charging cloud platform can fit an empirical temperature control curve suitable for charging devices in a specific location based on the temperature control data of charging devices in the same region. Thus, charging devices in different regions control the rotation speed of their corresponding temperature control devices according to the corresponding empirical temperature control curve. Compared to controlling the rotation speed of temperature control devices based on empirical temperature control curves fitted from the temperature control data of all charging devices, the empirical temperature control curve fitted from the temperature control data of charging devices in the same region provided in this application is more accurate, allowing the temperature of the charging devices to be maintained within a more reasonable temperature range. This improves the working efficiency and reliability of the charging devices, thereby enhancing the user experience.

[0024] In conjunction with the second aspect, in one embodiment, the charging cloud platform is configured to: send an empirical temperature control curve upon receiving a trigger signal instructing the charging cloud platform to send the empirical temperature control curve; or, periodically send the empirical temperature control curve.

[0025] The trigger signal in this application embodiment can be a signal forcibly issued by maintenance personnel. For example, if a charging device malfunctions and causes the loss of its empirical temperature control curve, the maintenance personnel can forcibly send the trigger signal. The charging cloud platform then sends the empirical temperature control curve to the charging device based on the trigger signal. As a result, the malfunctioning charging device can continue to control the rotation speed of the temperature control device based on the empirical temperature control curve, which is beneficial to the normal operation of the charging device and, in turn, to the normal operation of the electric vehicle charging process, thereby improving the user experience.

[0026] Alternatively, the charging cloud platform can periodically send experience-based temperature control curves. The specific value of the period can be set automatically. In particular, maintenance personnel can set the charging cloud platform to send experience-based temperature control curves once a quarter based on seasonality. In this way, the charging equipment can control the speed of the temperature control device more accurately and reasonably based on the experience-based temperature control curves sent by the charging cloud platform every quarter.

[0027] Thirdly, a charging system is provided, comprising a plurality of charging devices according to the first aspect or any possible implementation thereof and a charging cloud platform according to the second aspect or any possible implementation thereof, wherein the charging cloud platform is used to communicate with the charging devices.

[0028] For the technical effects that the third aspect may achieve, please refer to the descriptions of the technical effects that can be achieved in any possible implementation of the first aspect and any possible implementation of the second aspect mentioned above. These descriptions will not be repeated here.

[0029] In conjunction with the third aspect, in one embodiment, the charging cloud platform is used to: send an empirical temperature control curve to the replaced charging device when some of the charging devices in a plurality of charging devices are replaced.

[0030] In this way, the replaced charging equipment can control the rotation speed of the temperature control device based on an empirical temperature control curve. This ensures that the temperature control device in the replaced charging equipment operates within a reasonable speed range, which is beneficial for the normal operation of the replaced charging equipment and, consequently, for the smooth charging process of electric vehicles, thus improving the user experience. Furthermore, in this embodiment, since the charging cloud platform automatically sends the empirical temperature control curve to the replaced charging equipment, there is no need for maintenance personnel to manually set and send the empirical temperature control curve to the replaced charging equipment. This achieves extremely simplified operation and maintenance, reduces the technical skill requirements for maintenance personnel, and thus lowers maintenance costs.

[0031] In conjunction with the third aspect, in one embodiment, the charging system further includes at least one additional charging device, and the charging cloud platform is further configured to: send an empirical temperature control curve to the at least one additional charging device.

[0032] In this way, at least one additional charging device can control the rotation speed of its temperature control device based on an empirical temperature control curve. This ensures that the temperature control device in the additional charging device operates within a reasonable speed range, which is beneficial for the normal operation of the additional charging device and, consequently, for the smooth charging process of the electric vehicle, thus improving the user experience. Furthermore, in this embodiment, since the charging cloud platform automatically sends the empirical temperature control curve to the newly added charging device, there is no need for maintenance personnel to manually set up the sending of the empirical temperature control curve to the newly added charging device. This simplifies maintenance and reduces the technical skill requirements for maintenance personnel, thereby lowering maintenance costs.

[0033] In conjunction with the third aspect, in one embodiment, the charging system further includes at least one controller for controlling the rotational speed of the temperature control devices of the multiple charging devices. The controller is configured to: receive an empirical temperature control curve from a charging cloud platform.

[0034] In this way, the charging cloud platform only needs to send the empirical temperature control curve to the controller, instead of sending it to each charging device. This reduces the computing power of the charging cloud platform, thereby reducing costs and improving the economic efficiency of the charging system. Attached Figure Description

[0035] Figure 1 This is a schematic diagram of the charging system provided in an embodiment of this application.

[0036] Figure 2 for Figure 1 The diagram shows a circuit connection schematic of a charging system.

[0037] Figure 3 This is a schematic diagram of a charging system provided in an embodiment of this application.

[0038] Figure 4 This is a schematic diagram of the empirical temperature control curve provided for the embodiments of this application.

[0039] Figure 5 This is a schematic diagram of another charging system provided in an embodiment of this application. Detailed Implementation

[0040] The technical solutions in this application will now be described with reference to the accompanying drawings.

[0041] In the description of the embodiments of this application, unless otherwise stated, " / " means "or". For example, A / B can mean A or B. "And / or" in this document is merely a description of the relationship between related objects, indicating that there can be three relationships. For example, A and / or B can mean: A exists alone, A and B exist simultaneously, and B exists alone.

[0042] The prefixes such as "first" and "second" used in this application embodiment are merely for distinguishing different descriptive objects and do not limit the position, order, priority, quantity, or content of the described objects. The use of ordinal numbers and other prefixes used to distinguish descriptive objects in this application embodiment does not constitute a limitation on the described objects. The description of the described objects is given in the claims or the context of the embodiments, and should not constitute unnecessary restrictions due to the use of such prefixes. Furthermore, in the description of this embodiment, unless otherwise stated, "multiple" means two or more.

[0043] With the development of new energy vehicle technology, many car manufacturers have gradually launched electric vehicles. Electric vehicles have become the choice of many users due to their energy saving, environmental protection and relatively mature technology.

[0044] This application can be applied to systems where power supply devices charge loads via a power distribution matrix. In particular, for systems including charging equipment and electric vehicles, the charging equipment can use electrical energy from the grid to charge the electric vehicles, thereby supplementing their electrical energy.

[0045] Figure 1 An exemplary schematic diagram of the structure of the charging system 100 provided in an embodiment of this application is shown.

[0046] Combination Figure 1 (a) and Figure 1 In (b) of this diagram, the charging system 100 may include a charging device 11 and an electric vehicle 12. The charging device 11 may receive alternating current (AC) output from the external power grid 20 and convert it into stable direct current (DC) before supplying it to the electric vehicle 12 to charge it. Alternatively, the electric vehicle 12 may also output electrical energy back to the external power grid 20.

[0047] In some embodiments, such as Figure 1 As shown in (a), the charging device 11 is a split-type charging pile. Specifically, the charging device 11 may include a charging host 111, at least one charging terminal 112, and at least one charging gun 113. The charging host 111 includes multiple charging modules (not shown in the figure), the output terminals of which are connected to the at least one charging terminal 112. The at least one charging terminal 112 is connected to the at least one charging gun 113, and each charging gun 113 is used to connect to an electric vehicle 12. For example, one charging terminal 112 may connect to one or more charging guns 113, and one or more charging guns 113 may connect to the same electric vehicle 12.

[0048] The charging module may include, for example, multiple power conversion devices that convert alternating current (AC) from the external power grid 20 into stable direct current (DC) before supplying it to the charging terminal 112. These power conversion devices may include, for example, alternating current-to-direct current (AC-DC) converters and direct current-to-direct current (DC-DC) converters. The charging terminal 112 then supplies this stable DC power to the electric vehicle 12 via a charging gun 113 to charge the electric vehicle 12.

[0049] In one example, the charging terminal 112 also includes a power distribution component (not shown), and the charging gun 113 includes a charging cable and a charging nozzle. The output terminals of multiple charging modules in the charging host 111 are connected to one end of the charging cable via the power distribution component, and the other end of the charging cable is connected to the charging nozzle. The charging nozzle is used to connect to the charging interface of the electric vehicle 12. Thus, the DC power output from the multiple charging modules is delivered to the electric vehicle 12 via the charging gun 113.

[0050] For example, the power distribution assembly includes contactors, shunts, and fuses for circuit switching control, current detection, and overcurrent protection. Additionally, the power distribution assembly may include a copper busbar connected to the output terminals of multiple charging modules in the charging host 111 and one end of the charging cable in the charging gun 113, thereby achieving electrical connection between the multiple charging modules and the charging gun 113.

[0051] In one example, a copper busbar can also be installed between the external power grid 20 and the charging device, specifically at the location where the charging device receives AC power, or at the location where the external power grid 20 outputs AC power.

[0052] The charging terminal 112 may include a housing, a human-machine interface, a charging control unit, and a metering and billing unit, and is used to interact with the electric vehicle 12 for information exchange, energy transmission, and metering and billing.

[0053] Electric vehicle 12 can be a means of transportation that is driven by electric energy. Electric vehicle 12 can be a pure electric vehicle (battery electric vehicle, pure EV / battery EV), a hybrid electric vehicle (HEV), a range-extended electric vehicle (REEV), or a plug-in hybrid electric vehicle (PHEV), etc.

[0054] In other embodiments, such as Figure 1 As shown in (b), the charging device 11 is an integrated charging pile. Specifically, the charging device 11 can directly house the human-machine interface, charging control unit, and metering and billing unit within the charging host 111. Thus, the charging device 11 may only include the charging host 111 and at least one charging gun 113 electrically connected to the charging host 111, excluding the charging terminal 112. Multiple power conversion devices in the charging host 111 can convert AC power from the external power grid 20 into stable DC power, which is then directly transmitted to the electric vehicle 12 through the charging gun 113.

[0055] It should be understood that the above Figure 1 (a) takes a split-type multi-gun as an example, that is, one charging host connects to multiple single-gun charging terminals. This application can also be applied to other charging scenarios, such as one charging host connecting to multiple dual-gun charging terminals, or one charging host connecting to at least one dual-gun charging terminal and at least one single-gun charging terminal.

[0056] Similarly, the above Figure 1 (b) in the example is an integrated single-gun charger, where one charging host is connected to one charging gun. This application can also be applied to other charging scenarios, such as one charging host being connected to multiple charging guns.

[0057] Figure 2 for Figure 1 The diagram shows a circuit connection of the charging system 100. The charging host 111 may include multiple AC-DC conversion devices 1111, multiple DC-DC conversion devices 1112, and a power distribution device 1114.

[0058] The input terminals of multiple AC-DC converters 1111 are connected to the power grid 20, and the output terminals of multiple AC-DC converters 1111 are connected one-to-one with the input terminals of multiple DC-DC converters 1112. The output terminals of DC-DC converters 1112 are connected to the charging terminal 112 through a power distribution device 1114. The DC-DC converters 1112 receive DC power output from the corresponding AC-DC converters 1111, and further convert the DC power into DC power suitable for the electric vehicle 12 before transmitting it to the power distribution device 1114. The power distribution device 1114 can dynamically distribute the DC power output from the multiple DC-DC converters 1112 according to the actual charging power required by the electric vehicle 12. The distributed charging power is transmitted to the electric vehicle 12 through the charging gun 113 of the charging terminal 112 to charge the electric vehicle 12.

[0059] As the power of charging equipment increases, the heat generated by the equipment also increases, leading to higher temperatures. Currently, researchers test charging equipment from the same batch to obtain corresponding temperature control curves. Each charging device adjusts the rotation speed of its temperature control device according to these curves. However, this approach results in high R&D investment, leading to increased economic and labor costs.

[0060] Based on this, this application provides a charging device and a charging cloud platform, which can reduce R&D investment, thereby reducing economic and labor costs.

[0061] Figure 3This is a schematic diagram of a charging system provided in an embodiment of this application. The charging system includes multiple charging devices 300 and a charging cloud platform 400. The multiple charging devices 300 can send temperature control data to the charging cloud platform 400. The charging cloud platform 400 fits the temperature control data of at least some of the charging devices 300 to obtain an empirical temperature control curve, and sends this empirical temperature control curve to these charging devices. Based on the empirical temperature control curve, these charging devices can adjust the rotation speed of their corresponding temperature control devices, thereby reducing the temperature of the charging devices. In this process, the charging cloud platform 400 can obtain the empirical temperature control curve for adjusting at least some of the charging devices simply by fitting the temperature control data of these devices, eliminating the need to publish the temperature control curve for each individual charging device. This reduces the R&D investment in temperature control characteristics, thereby reducing economic and labor costs.

[0062] The following explanation will focus on charging equipment and charging cloud platforms. The charging equipment can be one of the aforementioned... Figure 3 Any charging device in the application includes a temperature controller and a temperature sensor. The temperature sensor is used to detect the temperature of the charging device, and the temperature controller is used to adjust the temperature of the charging device. The charging cloud platform in this application is a charging cloud operation and maintenance platform, which is used by equipment R&D personnel to perform problem analysis, fault location, version upgrades, etc.

[0063] In the embodiments of this application, the temperature control device can be a water pump or a fan. When the heat dissipation method of the charging device is liquid cooling, the temperature control device is a water pump, or a water pump and a fan; when the heat dissipation method of the charging device is air cooling, the temperature control device is a fan. It should be noted that the temperature control device in the embodiments of this application is not limited to a water pump or a fan, and can also be other temperature control devices, such as a compressor.

[0064] There can be multiple temperature sensors, which can be placed in different locations within the charging device to detect the temperature at different points inside the device. Similarly, there can be multiple temperature control devices, also placed in different locations within the charging device, with each device associated with the temperature of at least one component or coolant detected by a temperature sensor. Taking a split-type charging device as an example, the locations of the temperature sensors and their detected temperatures, as well as the locations of the temperature control devices, are generally shown in Tables 1 and 2.

[0065] Table 1

[0066]

[0067]

[0068] Table 2

[0069] serial number Temperature control devices Remark 1 fan Inside the charging host 2 water pump Inside the charging host 3 fan Inside the charging terminal 4 water pump Inside the charging terminal

[0070] It should be noted that the number and location of temperature sensors shown in Table 1 above are only an example. In actual scenarios, there may be more temperature sensors, which are placed in the charging device in locations that generate heat and need to be cooled.

[0071] It should also be noted that Table 1 above shows the temperature of the device or coolant detected by the temperature sensors in a liquid cooling scenario. In an air-cooled scenario, the charging device does not have coolant, therefore the temperatures detected by temperature sensors numbered 1 and 6 in Table 1 above will not be present, nor will the water pumps in Table 2 be present.

[0072] It should be understood that when the charging device is an integrated charging device, the charging device no longer distinguishes between the charging host and the charging terminal, and therefore no longer distinguishes between the temperatures of the charging host and the charging terminal, such as the temperature of the coolant in the charging host and the charging terminal, and the temperature of the fan or water pump in the charging host and the charging terminal.

[0073] In this embodiment, the charging device is used to: send temperature control data during the process of outputting DC power. The temperature control data includes the temperature of the temperature sensor and the rotation speed of the temperature control device. The temperature of the temperature sensor is as shown in Table 1 above, and the rotation speed of the temperature control device is the rotation speed of the temperature control device when the temperature sensor is at a certain temperature.

[0074] The charging cloud platform 400 is used to: receive temperature control data from multiple charging devices, and send empirical temperature control curves to at least two of the multiple charging devices. The empirical temperature control curve is the relationship curve between the temperature of the charging device and the rotation speed of the temperature control device. The empirical temperature control curve is fitted based on the temperature control data of at least two of the multiple charging devices.

[0075] Accordingly, the charging equipment is also used to: receive an empirical temperature control curve, at least two charging equipment including the charging equipment and other charging equipment besides the charging equipment; and control the rotation speed of the temperature control device based on the empirical temperature control curve and the temperature sensor.

[0076] In the embodiments of this application, reference is made to Figure 3 When the charging cloud platform 400 receives temperature control data from n charging devices 300, it can obtain an empirical temperature control curve based on the temperature control data of these n charging devices 300. Alternatively, it can obtain an empirical temperature control curve based on the temperature control data of at least two of the n charging devices. This will not be explained in detail here. Please refer to the relevant content below for details.

[0077] In this embodiment, the empirical temperature control curve is fitted based on the temperature control data of at least two charging devices out of a plurality of charging devices. In other words, the charging cloud platform 400 can fit the empirical temperature control curve based on the temperature control data of at least two charging devices out of a plurality of charging devices. Therefore, the empirical temperature control curve is suitable for these at least two charging devices, meaning that these at least two charging devices can adjust the rotation speed of their own temperature control devices according to the empirical temperature control curve. In this way, it is not necessary to publish the temperature control curve for each charging device separately, thereby reducing the R&D investment in temperature control characteristics, and thus reducing economic and labor costs. Furthermore, in this implementation, the rotation speed of the temperature control devices of at least two devices can be controlled by a single empirical temperature control curve, which is equivalent to realizing intelligent temperature control of the entire network. The whole process is simple and intelligent, greatly improving charging efficiency and thus enhancing the user experience.

[0078] Furthermore, the multiple charging devices in this application embodiment can be devices from different manufacturers. In this way, the empirical temperature control curve fitted by the charging cloud platform based on the temperature control data of at least two of these charging devices can be adapted to charging devices from different manufacturers, thereby facilitating the interconnection and interoperability of charging devices from different manufacturers.

[0079] In one embodiment, the multiple charging devices 300 can also send their respective output DC power charging parameters to the charging cloud platform 400. Correspondingly, the charging cloud platform 400 is also configured to: receive the DC power charging parameters output by the multiple charging devices 300, wherein the charging parameters include at least one of charging power, charging voltage, and charging current.

[0080] In this application, when the charging parameters include one parameter, that parameter may be, for example, the charging power; when the charging parameters include multiple parameters, those parameters may be, for example, the charging power and the charging voltage, or the charging power, the charging voltage, and the charging current. Other possible cases will not be described in detail here. The specific charging parameters in the embodiments of this application are shown in Table 3.

[0081] Table 3

[0082] serial number parameter Remark 1 Total charging power Charging host 2 Full-body charging voltage Charging host 3 Total charging current Charging host 4 Single gun charging power Charging terminal 5 Single gun charging voltage Charging terminal 6 Single-gun charging current Charging terminal

[0083] Referring to Table 3, it can be seen that the charging parameters can be the charging parameters of the whole device or the charging parameters of a single gun. For example, the charging power can be the charging power of the whole device or the charging power of a single gun.

[0084] It should be noted that when the charging device is an integrated charging device, the charging device no longer distinguishes between the charging host and the charging terminal, but the charging parameters can still include the overall charging parameters and / or the single-gun charging parameters.

[0085] In this embodiment, when the DC charging parameters of every two charging devices in the plurality of charging devices 300 meet preset conditions, an empirical temperature control curve is sent to each charging device in the plurality of charging devices 300; when the DC charging parameters of each charging device in some of the charging devices in the plurality of charging devices 300 do not meet the preset conditions compared with the DC charging parameters of other charging devices, an empirical temperature control curve is sent to the other charging devices in the plurality of charging devices 300. The preset conditions include at least one of the following: the ratio of the same DC charging parameters of the two charging devices is within a first preset range, and the difference of the same DC charging parameters of the two charging devices is within a second preset range.

[0086] The following section will provide specific examples of charging parameters including one charging parameter and multiple charging parameters.

[0087] 1. Charging parameters include one charging parameter.

[0088] Refer to the above Figure 3 Taking charging parameters including charging power as an example, for n charging devices, after the charging cloud platform 400 receives the DC charging power of the n charging devices, it determines whether the DC charging power of each charging device meets the preset conditions with the DC charging power of other charging devices, and sends the empirical temperature control curve to different charging devices according to the judgment result.

[0089] Specifically, taking n=10 as an example, and assuming the ratio of the DC charging power of two charging devices is within a first preset range, for charging device 1, the charging cloud platform 400 calculates the ratio of the DC charging power of charging device 1 to that of each of the other 9 charging devices. If all calculated results are within the first preset range, it indicates that the difference in charging power between charging device 1 and the other 9 charging devices is small. When fitting the empirical temperature control curve, the charging cloud platform can use the temperature control data of charging device 1 as reference data for fitting. For charging device 2, the charging cloud platform 400 calculates the ratio of the DC charging power of charging device 2 to that of each of the other 8 charging devices (including charging devices 3, 4, ..., 10). If all calculated results are within the first preset range, it indicates that the difference in charging power between charging device 2 and the other 8 charging devices is small. When fitting the empirical temperature control curve, the charging cloud platform can use the temperature control data of charging device 2 as reference data for fitting; ... For each charging device, the charging cloud platform 400 performs the above process, thereby determining which charging devices' temperature control data to fit and sending the fitted empirical temperature control curve to the corresponding charging device. For example, when the ratio of the DC charging power of every two charging devices among these 10 charging devices is within a first preset range, the charging cloud platform 400 can obtain an empirical temperature control curve by fitting the temperature control data of these 10 charging devices and send the empirical temperature control curve to these 10 charging devices.

[0090] Taking n=10 as an example, and assuming the ratio of DC charging power of two charging devices is within a first preset range, for charging device 1, the charging cloud platform 400 calculates the ratio of DC charging power of charging device 1 to that of each of the other 9 charging devices. If all calculated results are within the first preset range, it indicates that the difference in charging power between charging device 1 and the other 9 charging devices is small. When fitting the empirical temperature control curve, the charging cloud platform can use the temperature control data of charging device 1 as reference data for fitting. For charging device 2, the charging cloud platform 400 calculates the ratio of DC charging power of charging device 2 to that of each of the other 8 charging devices (including charging devices 3, 4, ..., 10). If all calculated results are not within the first preset range, it indicates that the difference in charging power between charging device 2 and the other 8 charging devices is large. When fitting the empirical temperature control curve, the charging cloud platform can exclude the temperature control data of charging device 2, i.e., it will not use the temperature control data of charging device 2 as reference data for fitting; ... For each charging device, the charging cloud platform 400 performs the above process, thereby determining which charging devices' temperature control data to fit and sending the fitted empirical temperature control curve to the corresponding charging device. For example, when the ratio of the DC charging power of charging device 2 to the DC charging power of other charging devices is not within a first preset range, the charging cloud platform 400 can fit the temperature control data of the other 9 charging devices (excluding charging device 2) to obtain an empirical temperature control curve and send the empirical temperature control curve to these 9 charging devices.

[0091] Similarly, under the preset condition that the difference in the same charging parameters of the DC power of the two charging devices is within a second preset range, the specific process is similar to that described above, and will not be repeated here for the sake of brevity.

[0092] 2. Charging parameters include multiple charging parameters.

[0093] Continue to refer to the above. Figure 3 Taking charging parameters including charging power and charging voltage as an example, for n charging devices, after the charging cloud platform 400 receives the DC charging power and charging voltage of the n charging devices, it determines whether the DC charging power of each charging device meets the preset conditions with the DC charging power of other charging devices, and whether the DC charging voltage of each charging device meets the preset conditions with the DC charging voltage of other charging devices, and sends the empirical temperature control curve to different charging devices according to the judgment results.

[0094] Specifically, taking n=10 as an example, and assuming the ratio of the DC charging parameters of the two charging devices is within a first preset range, for charging device 1, the charging cloud platform 400 calculates the ratio of the DC charging power of charging device 1 to that of each of the other 9 charging devices, and also calculates the ratio of the DC charging voltage of charging device 1 to that of each of the other 9 charging devices. If all calculated results are within the first preset range, it indicates that the difference in charging power between charging device 1 and the other 9 charging devices is small, and the difference in charging voltage between charging device 1 and the other 9 charging devices is also small. When fitting the empirical temperature control curve, the charging cloud platform can use the temperature control data of charging device 1 as a reference. The system performs a fitting process. For charging device 2, the charging cloud platform 400 calculates the ratio of the DC charging power of charging device 2 to that of each of the other eight charging devices (including charging devices 3, 4, ..., 10), and the ratio of the DC charging voltage of charging device 2 to that of each of the other eight charging devices. If all the calculated results are within a first preset range, it indicates that the difference in charging power and charging voltage between charging device 2 and the other eight charging devices is small. When fitting the empirical temperature control curve, the charging cloud platform can use the temperature control data of charging device 2 as reference data for fitting. ... For each charging device, the charging cloud platform 400 performs the above process, thereby determining which charging devices' temperature control data to use for fitting, and sending the fitted empirical temperature control curve to the corresponding charging device. For example, when the ratio of the DC charging power of every two charging devices in these 10 charging devices is within a first preset range and the ratio of the DC charging voltage of every two charging devices is within a first preset range, the charging cloud platform 400 can obtain an empirical temperature control curve by fitting the temperature control data of these 10 charging devices, and send the empirical temperature control curve to these 10 charging devices.

[0095] Taking n=10 as an example, and assuming the ratio of the DC charging power of the two charging devices is within a first preset range, for charging device 1, the charging cloud platform 400 calculates the ratio of the DC charging power of charging device 1 to that of each of the other 9 charging devices, and also calculates the ratio of the DC charging voltage of charging device 1 to that of each of the other 9 charging devices. If all calculated results are within the first preset range, the charging cloud platform can use the temperature control data of charging device 1 as reference data for fitting the empirical temperature control curve; for charging device 2, the charging... The cloud platform 400 calculates the ratio of the DC charging power of charging device 2 to that of each of the other eight charging devices (including charging devices 3, 4, ..., 10), and the ratio of the DC charging voltage of charging device 2 to that of each of the other eight charging devices. If the calculated ratios of all power and / or all voltage are not within a first preset range, the charging cloud platform can exclude the temperature control data of charging device 2 when fitting the empirical temperature control curve, i.e., it will not use the temperature control data of charging device 2 as reference data for fitting; ... For each charging device, the charging cloud platform 400 performs the above process, thereby determining which charging devices' temperature control data to use for fitting, and sending the fitted empirical temperature control curve to the corresponding charging device. For example, when the ratio of the DC charging power of charging device 2 to the DC charging power of other charging devices is not within the first preset range, the charging cloud platform 400 can obtain an empirical temperature control curve by fitting the temperature control data of the other 9 charging devices excluding charging device 2, and send the empirical temperature control curve to these 9 charging devices.

[0096] Similarly, under the preset condition that the difference in the same charging parameters of the DC power of the two charging devices is within a second preset range, the specific process is similar to that described above, and will not be repeated here for the sake of brevity.

[0097] In this embodiment, the charging cloud platform can select different charging devices to fit temperature control data based on whether the charging parameters of multiple charging devices meet preset conditions and send empirical temperature control curves. The purpose of this design is that the empirical temperature control curve fitted by the charging cloud platform is relatively more accurate and more effective. This is because, if the DC charging parameters of every two charging devices among the multiple charging devices 300 meet the preset conditions, it indicates that the differences in the charging parameters of these multiple charging devices are small. Therefore, the charging cloud platform can fit an empirical temperature control curve based on the temperature control data of these multiple charging devices and send the empirical temperature control curve to all charging devices 300. However, if the DC charging parameters of some charging devices among the multiple charging devices 300 do not meet the preset conditions, it indicates that the charging parameters of some charging devices differ significantly from those of other charging devices. If an empirical temperature control curve is forcibly fitted based on the temperature control data of multiple charging devices, the fitted empirical temperature control curve will not accurately reflect the temperature control characteristics of multiple charging devices. Therefore, the charging cloud platform can fit an empirical temperature control curve based on the temperature control data of the other charging devices (excluding some of the devices) and send the empirical temperature control curve to the other charging devices. In this way, the charging device receiving the empirical temperature control curve can control the rotation speed of the corresponding temperature control device based on the empirical temperature control curve, keeping the temperature of the charging device within a reasonable temperature range, thereby improving the charging efficiency of the charging device and thus enhancing the user experience.

[0098] After receiving the empirical temperature control curve, the charging device can control the rotation speed of the temperature control device based on the empirical temperature control curve. Specifically, the rotation speed of the device can be controlled based on the empirical temperature control curve and the temperature control strategy. The temperature control strategy can be an open-loop control strategy or a closed-loop control strategy.

[0099] 1. The temperature control strategy is an open-loop control strategy.

[0100] When the charging device controls the rotation speed of the temperature controller based on an open-loop control strategy, it outputs the corresponding rotation speed of the temperature controller based on the input temperature value and an empirical temperature control curve. For example, refer to the above... Figure 3 When the input temperature value is T3, the rotation speed of the corresponding temperature control device is controlled to be V3'.

[0101] 2. The temperature control strategy is a closed-loop control strategy.

[0102] When a charging device controls the rotational speed of a temperature controller based on a closed-loop control strategy, the device can use a control algorithm to calculate the target rotational speed. Taking a proportional-integral-differential (PID) control algorithm as an example, the control deviation can be constructed based on the input temperature value and the output rotational speed. The closed-loop, integral, and derivative of the deviation can be linearly combined to form the control quantity, thereby calculating the target rotational speed. See below for details.

[0103]

[0104] Where CFT stands for temperature requirement, i.e., the temperature that needs to be increased or decreased, and T... cur T represents the current temperature. tgt For the target temperature, T dead For the temperature dead zone, T prop This represents the temperature proportional band, characterizing the sensitivity / accuracy of the control.

[0105]

[0106] Among them, V n V is the rotational speed of the current temperature control device. n-1 K represents the rotational speed of the temperature control device in the previous cycle. p CFT is the scaling factor. n To meet current temperature requirements, CFT n-1 For the temperature requirements of the previous cycle, CFT n-2 For the temperature requirements of the previous two cycles, T samp For the temperature sampling period, T I Let T be the integration time constant. D is the differential time constant.

[0107] When the charging equipment uses a closed-loop control strategy to control the rotation speed of the temperature control device, the specific process is as follows: input the values ​​of each parameter in formulas (1) and (2) to obtain V. n This controls the rotation speed of the temperature control device to V. n . refer to Figure 3 The empirical temperature control curve is used to determine the current rotational speed V of the temperature control device. n The corresponding temperature T0, if T0 and T tgt If they are consistent, then there is no need to adjust the speed of the temperature control device. If T0 and T... tgt If there is a discrepancy, the rotation speed of the temperature controller is adjusted again until the adjusted rotation speed corresponds to the same temperature as the target temperature in the empirical temperature control curve. Through repeated adjustments, the rotation speed of the temperature controller becomes more accurate, exhibiting good stability and robustness, and maintaining good control performance under conditions of system parameter changes or external disturbances.

[0108] As mentioned above, the empirical temperature control curve is fitted based on the temperature control data of at least two charging devices. In the specific fitting process, the empirical temperature control curve is subject to restrictions, which are detailed below.

[0109] In one embodiment, the rotational speed of the temperature control device corresponding to any temperature in the empirical temperature control curve is less than or equal to a first numerical multiple of the maximum rotational speed of the temperature control device corresponding to any temperature sent by at least two charging devices, where the first numerical multiple is greater than 1; and the rotational speed of the temperature control device corresponding to any temperature in the empirical temperature control curve is greater than or equal to a second numerical multiple of the minimum rotational speed of the temperature control device corresponding to any temperature sent by at least two charging devices, where the second numerical multiple is less than 1.

[0110] In this embodiment, the empirical temperature control curve serves as the basis curve for subsequent adjustments of at least two charging devices. The rotational speed of the temperature control device corresponding to any temperature in the empirical temperature control curve is less than or equal to a first numerical multiple of the maximum rotational speed of the temperature control device corresponding to any temperature sent by at least two charging devices. In other words, the rotational speed of the temperature control device corresponding to any temperature in the empirical temperature control curve is less than the maximum rotational speed of the temperature control device corresponding to that temperature sent by at least two charging devices. Furthermore, the rotational speed of the temperature control device corresponding to any temperature in the empirical temperature control curve is greater than or equal to a second numerical multiple of the minimum rotational speed of the temperature control device corresponding to any temperature sent by at least two charging devices. In other words, the rotational speed of the temperature control device corresponding to any temperature in the empirical temperature control curve is greater than the minimum rotational speed of the temperature control device corresponding to that temperature sent by at least two charging devices.

[0111] Specifically, taking n=5 as an example, and using the temperature control data of these 5 charging devices to fit the empirical temperature control curve, for temperature T1, the rotational speeds of these 5 charging devices at temperature T1 are V1, V2, and V3 respectively. 1 V1 2 V1 3 V1 4 V1 5 Assuming that the maximum rotational speed among the five rotational speeds corresponding to temperature T1 is V1 1 The minimum speed is V1 5 If the rotational speed corresponding to temperature T1 in the fitted empirical temperature control curve is less than or equal to V1, then... 1 The first numerical multiple, and the rotational speed corresponding to temperature T1 is greater than or equal to V1. 5 The second numerical multiple; for temperature T2, the rotational speeds of these 5 charging devices at temperature T2 are respectively... Assuming the maximum speed among the five speeds corresponding to temperature T2 is Minimum speed is Then, in the fitted empirical temperature control curve, the rotational speed corresponding to temperature T2 is less than or equal to... The first numerical multiple, and the rotational speed corresponding to temperature T1 is greater than or equal to The second numerical multiple; ...; etc.

[0112] refer to Figure 4 The black dashed line (○) in the figure represents the temperature control curve corresponding to the temperature control data sent by the five charging devices to the charging cloud platform 400. The two black dashed lines (△ or □) represent the upper and lower limits of the empirical temperature control curve, respectively. Specifically, the black dashed line (△) represents the curve formed by the first numerical multiple of the maximum rotational speed of the five charging devices at any given temperature (i.e., the upper limit curve), and the black dashed line (□) represents the curve formed by the second numerical multiple of the minimum rotational speed of the five charging devices at any given temperature (i.e., the lower limit curve). In this application, the empirical temperature control curve has a rotational speed at any given temperature that is lower than the rotational speed at the upper limit curve and higher than the rotational speed at the lower limit curve, as shown by the thicker black solid line in the figure. The purpose of this design is to prevent the speed corresponding to a certain temperature in the empirical temperature control curve fitted by the charging cloud platform from being too high, which would lead to high energy consumption and high noise. It also prevents the speed corresponding to a certain temperature in the empirical temperature control curve from being too low, which would fail to achieve the purpose of cooling. This allows the temperature control device in the charging equipment to be kept within a reasonable speed range, which is conducive to the normal operation of the charging equipment, and in turn, to the normal operation of the electric vehicle charging process, thus improving the user experience.

[0113] It should be noted that, generally, the difference between the first value and 1 is less than the difference between 1 and the second value. For example, the first value can be set to 1.1, and the second value can be set to 0.7. Then, the deviation range of the lower limit in the empirical temperature control curve is 30%, and the deviation range of the upper limit is 10%. That is, the deviation range of the lower limit in the empirical temperature control curve is greater than the deviation range of the upper limit. Since the lower the rotation speed of the temperature control device, the better the environmental performance, this design can improve the green environmental protection of the charging equipment, which is in line with the "green and environmentally friendly" concept of new energy and is conducive to the further development and application of charging equipment.

[0114] As mentioned above, multiple charging devices can send their respective temperature control data to the charging cloud platform 400. In addition, in one embodiment, the multiple charging devices can also send their geographical locations to the charging cloud platform 400. Correspondingly, the charging cloud platform 400 is further configured to: receive the geographical locations from the multiple charging devices; and fit the temperature control data from charging devices at the same geographical location into an empirical temperature control curve. The charging cloud platform 400 is configured to send the empirical temperature control curve to at least two of the multiple charging devices, including: the charging cloud platform 400 is configured to: send the corresponding empirical temperature control curve to at least two charging devices.

[0115] In this application embodiment, the geographical location can be a province, city, district, county, station, etc. The following explanation uses a city as an example, still referring to the above. Figure 3 Taking n=500 as an example, assuming 200 of these 500 charging devices are located in city A and the other 300 are located in city B, the charging cloud platform 400 can fit the temperature control data of the 200 charging devices in city A to obtain the corresponding empirical temperature control curve for city A. Simultaneously, the charging cloud platform 400 can also fit the temperature control data of the 300 charging devices in city B to obtain the corresponding empirical temperature control curve for city B. After obtaining the empirical temperature control curves for these two cities, the charging cloud platform 400 can send the corresponding empirical temperature control curve for city A to the 200 charging devices in city A and the corresponding empirical temperature control curve for city B. Thus, cities A and B can control the rotation speed of their respective temperature control devices according to their respective empirical temperature control curves. Because each city has its own geographical characteristics, empirical temperature control curves are fitted to the temperature control data of charging equipment in each city. The fitted empirical temperature control curves are more suitable for the charging equipment in that city. Therefore, controlling the speed of the corresponding temperature control device according to the empirical temperature control curve corresponding to the city is more accurate than controlling the speed of the corresponding temperature control device according to the empirical temperature control curve fitted to all charging equipment. This can keep the temperature of the charging equipment within a more reasonable temperature range, thereby improving the working efficiency and reliability of the charging equipment and thus enhancing the user experience.

[0116] During the fitting process, fitting can be performed based on a fitting prediction algorithm. This application does not limit the specific fitting prediction algorithm; it can be a maximum value algorithm, machine learning algorithms, AI algorithms, etc. Specifically, the maximum value algorithm involves taking the maximum value among multiple rotational speeds for each temperature value in multiple temperature control curves; machine learning algorithms can include, for example, piecewise polynomial fitting, K-nearest neighbor algorithm, support vector machine, least squares method, etc.; AI algorithms can include, for example, neural network algorithms, long short-term memory network algorithms, etc.

[0117] In one embodiment, the charging device includes a plurality of temperature control devices and a plurality of temperature sensors, each temperature sensor being used to detect the temperature of a corresponding device at its location. Each temperature control device is associated with at least a portion of the plurality of temperature sensors, and each temperature control device is used to adjust the temperature of the corresponding device detected by at least a portion of the temperature sensors.

[0118] In this embodiment, taking a charging device comprising p temperature control devices and q temperature sensors as an example, each of the p temperature control devices is associated with at least a portion of the q temperature sensors. For example, the first temperature control device is associated with q1 temperature sensors, the second temperature control device is associated with q2 temperature sensors, and so on, with the p-th temperature control device associated with q... q Each temperature sensor is associated. It should be understood that the number of temperature sensors associated with different temperature control devices can be equal or unequal, and there is no restriction.

[0119] For example, taking a split-type charging device as an example, the charging device includes a charging host and a charging terminal. The charging host and the charging terminal can each be equipped with a temperature control device and a corresponding temperature sensor. In one implementation, assume the charging host is equipped with one temperature control device and four temperature sensors, and the one temperature control device in the charging host is associated with the four temperature sensors; that is, the rotation speed of this one temperature control device in the charging host controls the temperature of the four temperature sensors. The charging terminal is equipped with one temperature control device and three temperature sensors, and the one temperature control device in the charging terminal is associated with these three temperature sensors; that is, the rotation speed of this one temperature control device in the charging terminal controls the temperature of the three temperature sensors. When the temperature of at least one of the four temperature sensors in the charging host is greater than a preset temperature threshold, the charging device can control the rotation speed of the temperature control device in the charging host to reduce the temperature of the charging host. When the temperature of at least one of the three temperature sensors in the charging terminal is greater than a preset temperature threshold, the charging device can control the rotation speed of the temperature control device in the charging terminal to reduce the temperature of the charging terminal.

[0120] In another implementation, assuming the charging host has two temperature control devices and eight temperature sensors, one of the two temperature control devices is associated with three of the temperature sensors, and the other is associated with five more. Thus, the rotation speed of one temperature control device controls the temperature of the three temperature sensors, and the rotation speed of the other device controls the temperature of the five more. The charging terminal has three temperature control devices and eight temperature sensors, with one temperature control device associated with the two temperature sensors, and the other two temperature control devices each associated with three different temperature sensors. Thus, the rotation speed of one temperature control device controls the temperature of the two temperature sensors, and the rotation speed of the other two devices controls the temperature of their respective associated three temperature sensors. When the temperature of at least one of the three temperature sensors in the charging host exceeds a preset temperature threshold, the charging device can control the rotation speed of one of the temperature control devices in the charging host to reduce the temperature of the charging host. When the temperature of at least one of the two temperature sensors in the charging terminal is greater than a preset temperature threshold, the charging device can control the rotation speed of one of the temperature control devices in the charging terminal to reduce the temperature of the charging terminal.

[0121] In this embodiment, each temperature control device is associated with at least some of the multiple temperature sensors. In this way, when the temperature of the temperature sensor is high, the rotation speed of the temperature control device associated with the temperature sensor can be adjusted to reduce the temperature of the device or coolant detected by the temperature sensor. This is beneficial for the precise control of the charging device, which can improve the reliability and charging efficiency of the charging device, thereby enhancing the user experience.

[0122] In some cases, even after adjusting the rotation speed of the temperature control device, the temperature of the temperature sensor associated with that device remains high. If no timely measures are taken, this may lead to charging abnormalities. Therefore, in one embodiment, the charging device is further configured to: reduce the charging power of the DC power output by the charging device if, after increasing the rotation speed of the temperature control device associated with some of the temperature sensors, the temperature of some of the temperature sensors still exceeds the preset temperature threshold when the temperature of some of the temperature sensors exceeds the preset temperature threshold.

[0123] In this embodiment, taking a preset temperature threshold of T0 as an example, if the temperature of the temperature sensor is T1, and T1 > T0, meaning the temperature of the temperature sensor is greater than the preset temperature threshold, it indicates that the temperature of the device or coolant detected by the temperature sensor in the charging device is high, and the temperature of the device or coolant needs to be reduced. Even after increasing the rotation speed of the temperature control device in the charging device, if the temperature of the temperature sensor is still greater than T0, it indicates that the temperature of the device or coolant detected by the temperature sensor is still high. If the charging device continues to output DC power at the original level, the heat generated by the charging device will be high, affecting the normal charging process and potentially causing damage. Therefore, in this situation, the charging device can reduce the charging power of the DC power output, such as reducing the charging current or charging voltage (generally reducing the charging current). This reduces the heat generated by the charging device, increases the likelihood of normal charging, prevents damage caused by high heat, and extends the service life of the charging device.

[0124] In one embodiment, the charging cloud platform 400 is configured to: send an experienced temperature control curve upon receiving a trigger signal instructing the charging cloud platform to send such a curve. The trigger signal can be a signal forcibly issued by maintenance personnel. For example, if a charging device malfunctions and loses its experienced temperature control curve, the maintenance personnel can forcibly send the trigger signal. The charging cloud platform then sends the experienced temperature control curve to the charging device based on this trigger signal. This allows the malfunctioning charging device to continue controlling the rotation speed of its temperature control device based on the experienced temperature control curve, which is beneficial for the normal operation of the charging device and, consequently, for the normal charging process of the electric vehicle, thus improving the user experience.

[0125] The charging cloud platform 400 can also periodically send experience-based temperature control curves. The specific period can be automatically set, such as 1 hour, 0.5 hours, etc. In some examples, maintenance personnel can configure the charging cloud platform to send experience-based temperature control curves quarterly, allowing the charging equipment to control the speed of its temperature control devices more accurately and reasonably based on these quarterly curves.

[0126] In addition, this application also provides a charging system, which includes a plurality of charging devices in any of the above embodiments and a charging cloud platform 400 in any of the above embodiments, wherein the charging cloud platform 400 is used to communicate with the charging devices.

[0127] For details regarding charging equipment and charging cloud platforms, please refer to the relevant content above; further details will not be repeated here.

[0128] In one embodiment, the charging cloud platform 400 is used to: send an empirical temperature control curve to the replaced charging device when some of the charging devices in a plurality of charging devices are replaced.

[0129] Refer to the above Figure 3 In the case where some charging devices out of n charging devices are replaced, after the replacement charging devices are installed, the charging cloud platform sends an empirical temperature control curve to the replaced charging devices. This allows the replaced charging devices to control the rotation speed of their temperature control devices based on the empirical temperature control curve, ensuring that the temperature control devices in the replaced charging devices operate within a reasonable speed range. This is beneficial for the normal operation of the replaced charging devices, and consequently, for the smooth charging process of electric vehicles, improving the user experience. Furthermore, in this embodiment, because the charging cloud platform automatically sends the empirical temperature control curve to the replaced charging devices, there is no need for maintenance personnel to manually set up the sending of the empirical temperature control curve, achieving extremely simplified operation and maintenance. It also reduces the technical skill requirements for maintenance personnel, thereby reducing operation and maintenance costs.

[0130] In one embodiment, the charging system further includes at least one additional charging device, and the charging cloud platform 400 is also used to send an empirical temperature control curve to the at least one additional charging device.

[0131] Continue to refer to the above. Figure 3 In a charging system comprising n charging devices, where the charging cloud platform fits empirical temperature control curves based on one or two of these n devices, if at least one additional charging device is added, the charging cloud platform 400 can send the empirical temperature control curve to the newly added device. This allows the newly added device to control the rotation speed of its temperature control device based on the empirical temperature control curve, ensuring the temperature control device remains within a reasonable rotation speed range. This is beneficial for the normal operation of the newly added device, and consequently, for the smooth charging process of the electric vehicle, improving the user experience. Furthermore, in this embodiment, since the charging cloud platform automatically sends the empirical temperature control curve to the newly added device, there is no need for maintenance personnel to manually set up the sending of the empirical temperature control curve to the newly added device. This simplifies maintenance and reduces the technical skill requirements for maintenance personnel, thereby lowering maintenance costs.

[0132] In one embodiment, the charging system further includes at least one controller for controlling the rotational speed of temperature control devices in a plurality of charging devices. The controller is configured to: receive an empirical temperature control curve from a charging cloud platform.

[0133] refer to Figure 5 , Figure 5The diagram illustrates two controllers and six charging devices: Charging Device 1, Charging Device 2, Charging Device 3, Charging Device 4, Charging Device 5, and Charging Device 6. Charging Device 1 includes a charging host 1 and k1 charging terminals; Charging Device 2 includes a charging host 2 and k2 charging terminals; Charging Device 3 includes a charging host 3 and k3 charging terminals; Charging Device 4 includes a charging host 4 and k4 charging terminals; Charging Device 5 includes a charging host 5 and k5 charging terminals; and Charging Device 6 includes a charging host 6 and k6 charging terminals. The two controllers are Controller 1 and Controller 2. Controller 1 controls Charging Devices 1, 2, and 3, while Controller 2 controls Charging Devices 4, 5, and 6. When the charging cloud platform 400 sends an empirical temperature control curve to the charging devices, the two controllers receive the curve and then control the corresponding charging devices based on it. With this design, the charging cloud platform 400 only needs to send the empirical temperature control curve to the controller, instead of sending it to each charging device. This reduces the computing power of the charging cloud platform 400, thereby reducing costs and improving the economic efficiency of the charging system.

[0134] It is understood that k1 to k6 in the embodiments of this application are related to the corresponding charging host and the charging terminal connected to it. Taking charging device 1 as an example, assuming that the DC power output by the charging host 1 is 720kW, and the DC power output by each charging terminal is 60kW, then k1 = 12.

[0135] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A charging device, characterized in that, The charging device includes a temperature control device and a temperature sensor. The temperature sensor is used to detect the temperature of the charging device, and the temperature control device is used to adjust the temperature of the charging device. The charging device is used for: During the process of the charging device outputting DC power, temperature control data is sent, including the temperature of the temperature sensor and the rotation speed of the corresponding temperature control device; Receive an empirical temperature control curve, which is a curve showing the relationship between the temperature of the charging device and the rotation speed of the temperature control device. The empirical temperature control curve is fitted based on the temperature control data of at least two charging devices, including the charging device and other charging devices besides the charging device. The rotation speed of the temperature control device is controlled based on the empirical temperature control curve and the temperature of the temperature sensor.

2. The charging device according to claim 1, characterized in that, The rotational speed of the temperature control device corresponding to any temperature in the empirical temperature control curve is less than or equal to a first value multiple of the maximum rotational speed of the temperature control device corresponding to any temperature sent by the at least two charging devices, where the first value is greater than 1. and, The rotational speed of the temperature control device corresponding to any temperature in the empirical temperature control curve is greater than or equal to a second multiple of the minimum rotational speed of the temperature control device corresponding to any temperature sent by the at least two charging devices, wherein the second multiple is less than 1.

3. The charging device according to claim 1 or 2, characterized in that, The charging device includes multiple temperature control devices and multiple temperature sensors, each of which is used to detect the temperature of the corresponding device at its location. Each of the temperature control devices is associated with at least a portion of the plurality of temperature sensors, and each of the temperature control devices is used to adjust the temperature of the corresponding device detected by the at least a portion of the temperature sensors.

4. The charging device according to claim 3, characterized in that, The charging device is also used for: If the temperature of some of the multiple temperature sensors exceeds a preset temperature threshold, and the temperature of the temperature control device associated with the partial temperature sensor is still greater than the preset temperature threshold after increasing the rotation speed of the partial temperature sensor, the charging power output by the charging device is reduced.

5. A charging cloud platform, characterized in that, The charging cloud platform is used for: Receive temperature control data from multiple charging devices, the temperature control data including the temperature of the temperature sensor and the rotation speed corresponding to the temperature control device; An empirical temperature control curve is sent to at least two of the plurality of charging devices. The empirical temperature control curve is a curve showing the relationship between the temperature of the charging device and the rotation speed of the temperature control device. The empirical temperature control curve is fitted based on the temperature control data of at least two of the plurality of charging devices.

6. The charging cloud platform according to claim 5, characterized in that, The charging cloud platform is also used for: The device receives charging parameters from the DC power output by the plurality of charging devices, wherein the charging parameters include at least one of charging power, charging voltage, and charging current. When the DC charging parameters of every two of the plurality of charging devices meet the preset conditions, the empirical temperature control curve is sent to each of the plurality of charging devices. If the DC charging parameters of each charging device in some of the multiple charging devices do not meet the preset conditions compared with the DC charging parameters of other charging devices, the empirical temperature control curve is sent to the other charging devices besides the aforementioned charging devices. The preset conditions include at least one of the following: The ratio of the same charging parameters of the DC power supply of the two charging devices is within a first preset range, and the difference of the same charging parameters of the DC power supply of the two charging devices is within a second preset range.

7. The charging cloud platform according to claim 5 or 6, characterized in that, The rotational speed of the temperature control device corresponding to any temperature in the empirical temperature control curve is less than or equal to a first numerical multiple of the maximum rotational speed of the temperature control device corresponding to any temperature of the at least two charging devices, where the first numerical value is greater than 1. and, The rotational speed of the temperature control device corresponding to any temperature in the empirical temperature control curve is greater than or equal to a second multiple of the minimum rotational speed of the temperature control device corresponding to any temperature in the at least two charging devices, where the second multiple is less than 1.

8. The charging cloud platform according to any one of claims 5 or 7, characterized in that, The charging cloud platform is also used for: Receive the geographical location from the plurality of charging devices; The temperature control data from the charging devices in the same geographical location are fitted into an empirical temperature control curve; The charging cloud platform is used to send empirical temperature control curves to at least two of the plurality of charging devices, including: The charging cloud platform is used to send the corresponding empirical temperature control curve to the at least two charging devices.

9. The charging cloud platform according to any one of claims 5 or 8, characterized in that, The charging cloud platform is used for: Upon receiving a trigger signal instructing the charging cloud platform to send the empirical temperature control curve, the empirical temperature control curve is sent; or, The empirical temperature control curve is sent periodically.

10. A charging system, characterized in that, The charging system includes a plurality of charging devices as described in any one of claims 1 to 4 and a charging cloud platform as described in any one of claims 5 to 9, wherein the charging cloud platform is used to communicate with the charging devices.

11. The charging system according to claim 10, characterized in that, The charging cloud platform is used for: In the case of replacing some of the charging devices among the plurality of charging devices, the empirical temperature control curve is sent to the replaced charging device.

12. The charging system according to claim 10, characterized in that, The charging system also includes at least one additional charging device, and the charging cloud platform is further used for: The empirical temperature control curve is sent to the other at least one charging device.

13. The charging system according to any one of claims 10 to 12, characterized in that, The charging system further includes at least one controller, which is used to control the rotation speed of the temperature control devices of the plurality of charging devices; The controller is used for: Receive the empirical temperature control curve from the charging cloud platform.

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