Quick charging method and device for electric vehicle, electronic equipment and storage medium

Abstract

The embodiment of the invention discloses a quick charging method and device for an electric vehicle, electronic equipment and a storage medium. The method comprises the steps of obtaining historical test data after receiving a charging instruction, sequentially constructing a current-capacity hyperbolic complex diagram and a current-temperature hyperbolic complex diagram through a first test data set and a second test data set, and respectively determining a sudden change intersection point capacity value and a sudden change intersection point temperature value, meanwhile, the charging state of the target battery is continuously monitored, each real-time charging parameter is compared with the abrupt change intersection point capacity value and the abrupt change intersection point temperature value, and finally the charging mode of the target battery in the current charging stage is determined based on the comparison result. Through switching between the interval charging mode and the linear charging mode, the target battery keeps the high-level battery charging current in the whole charging process, the charging time of the target battery is shortened, the purpose of rapidly charging the electric automobile is achieved, and the use satisfaction degree of a user is improved.

Description

Technical Field

[0001] One or more embodiments of the present specification relate to the field of battery charging technology, and in particular, to a method, device, electronic device and storage medium for fast charging of an electric vehicle. Background Art

[0002] With the rapid development of the electric vehicle industry, the fast charging mode of electric vehicles has become an unstoppable development trend. When users use the car battery management system, they have more and more stringent requirements on the charging time of electric vehicle batteries, and the user experience after use is particularly important. Therefore, a fast charging method for electric vehicles is needed to effectively improve the charging speed of electric vehicle batteries under the premise of the maximum safe charging range allowed by the battery cell. However, the current common battery fast charging methods often have step-change current mutations during the charging process, so that the average charging current of the car battery will gradually decrease with the change of battery capacity or battery cell temperature during the charging process, resulting in a long charging time, which cannot meet the requirements of quickly increasing the charging speed, and reduces the user's satisfaction during charging. Summary of the invention

[0003] The embodiments of this specification provide a method, device, electronic device and storage medium for fast charging of electric vehicles, and the technical solutions are as follows: In a first aspect, an embodiment of the present specification provides a method for fast charging an electric vehicle, the method comprising: Acquire historical test data based on a target battery model of a target electric vehicle, the historical test data comprising a first test data group and a second test data group, the first test data group being data obtained by testing the target battery through an interval charging method, and the second test data group being data obtained by testing the target battery through a linear interpolation charging method; Based on the first test data group and the second test data group, a current-capacity hyperbola composite graph and a current-temperature hyperbola composite graph are sequentially constructed, and based on an extreme value algorithm, a mutation intersection capacity value in the current-capacity hyperbola composite graph and a mutation intersection temperature value in the current-temperature hyperbola composite graph are respectively determined; Continuously monitoring the charging state of the target battery to obtain real-time charging parameters, wherein the real-time charging parameters include real-time battery capacity and real-time battery cell temperature; The real-time battery capacity is compared with the mutation intersection capacity value, and the real-time battery cell temperature is compared with the mutation intersection temperature value to obtain comparison results, and the charging mode of the target battery in the current charging stage is determined based on the comparison results, and the charging mode includes an interval charging mode and a linear charging mode.

[0004] In a second aspect, a fast charging device for an electric vehicle is provided, the device comprising: An acquisition module, used for acquiring historical test data based on a target battery model of a target electric vehicle, wherein the historical test data includes a first test data group and a second test data group, wherein the first test data group is data obtained by testing the target battery through an interval charging method, and the second test data group is data obtained by testing the target battery through a linear interpolation charging method; A construction module, used to construct a current-capacity hyperbola composite diagram and a current-temperature hyperbola composite diagram in sequence based on the first test data group and the second test data group, and determine the mutation intersection capacity value in the current-capacity hyperbola composite diagram and the mutation intersection temperature value in the current-temperature hyperbola composite diagram based on an extreme value algorithm; A monitoring module, used to continuously monitor the charging state of the target battery and obtain real-time charging parameters, wherein the real-time charging parameters include real-time battery capacity and real-time battery cell temperature; A determination module is used to compare the real-time battery capacity with the mutation intersection capacity value, and the real-time battery cell temperature with the mutation intersection temperature value, respectively, to obtain a comparison result, and determine the charging mode of the target battery in the current charging stage based on the comparison result, and the charging mode includes an interval charging mode and a linear charging mode.

[0005] In a third aspect, an electronic device is provided, including a device processor and a memory; The device processor is connected to the memory; The memory is used to store executable program code; The device processor runs a program corresponding to the executable program code by reading the executable program code stored in the memory, so as to execute the steps of the method provided in the first aspect or any possible implementation manner of the first aspect.

[0006] In a fourth aspect, a computer-readable storage medium is provided, on which a computer program is stored, and the computer-readable storage medium stores instructions, which, when the instructions are executed on a computer or a device processor, cause the computer or the device processor to execute the method provided in the first aspect or any possible implementation of the first aspect.

[0007] The beneficial effects brought by the technical solutions provided by some embodiments of this specification include at least: In one or more embodiments of the present specification, after receiving a charging instruction, historical test data is obtained, and a current-capacity hyperbola composite graph and a current-temperature hyperbola composite graph are constructed in sequence through the first test data group and the second test data group to determine the mutation intersection capacity value and the mutation intersection temperature value, respectively. At the same time, the charging status of the target battery is continuously monitored, and each real-time charging parameter is compared with the mutation intersection capacity value and the mutation intersection temperature value, respectively. Finally, based on the comparison result, the charging mode of the target battery in the current charging stage is determined. By switching between the interval charging mode and the linear charging mode, the target battery maintains a high battery charging current throughout the charging process, thereby reducing the charging time of the target battery, achieving the purpose of fast charging of electric vehicles, and improving user satisfaction. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0009] Figure 1 A schematic diagram of the system architecture of a method for fast charging an electric vehicle provided in an embodiment of this specification; Figure 2 A flowchart of a method for fast charging an electric vehicle provided in an embodiment of this specification; Figure 3 A schematic diagram of the structure of a fast charging device for an electric vehicle provided in an embodiment of this specification; Figure 4 A schematic diagram of the structure of an electronic device provided in an embodiment of this specification. DETAILED DESCRIPTION

[0010] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application.

[0011] The terms "first", "second", "third", etc. in the description and claims of this specification and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices.

[0012] The following description provides examples and does not limit the scope, applicability or examples set forth in the claims. Changes may be made to the functions and arrangements of the elements described without departing from the scope of the present specification. Various processes or components may be appropriately omitted, substituted or added to each example. For example, the described method may be performed in an order different from the order described, and various steps may be added, omitted or combined. In addition, features described with respect to some examples may be combined in other examples.

[0013] See also Figure 1 , Figure 1 A schematic diagram of the system architecture of a method for fast charging an electric vehicle provided in an embodiment of this specification is shown.

[0014] like Figure 1 As shown, the system architecture of the electric vehicle fast charging method may include at least a terminal 10 , a server 20 and a network 30 .

[0015] The terminal 10 includes but is not limited to electronic devices such as smart phones, desktop computers, tablet computers, laptops, smart speakers, digital assistants, smart wearable devices, etc., and may also be software running on the above electronic devices, such as applications, etc. Optionally, the operating system running on the electronic device may include but is not limited to Android system, IOS system, Linux, Windows, etc. Optionally, the terminal 10 provides a fast charging service to the user, and the terminal 10 may obtain a fast charging instruction of an application program interface and send a fast charging request to the server 20.

[0016] The server 20 can provide background services for the terminal 10. According to the fast charging request sent by the terminal 10, the server 20 will obtain a series of fast charging instructions, and the server 20 will transmit the fast charging instructions to other terminals 10 through the network 30. Specifically, the server 20 can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN (Content Delivery Network), and big data and artificial intelligence platforms.

[0017] The network 30 is used to provide a medium for a communication link between the terminal 10 and the server 20. The network 30 may include various connection types, such as wired or wireless communication links or optical fiber cables.

[0018] In addition, it should be noted that Figure 1What is shown is only one system provided by the present disclosure. In practical applications, other systems may also be included, for example, more terminals may be included.

[0019] In the embodiments of the present specification, the terminal 10 and the server 20 may be directly or indirectly connected via wired or wireless communication, which is not limited in the present disclosure.

[0020] See next Figure 2 , Figure 2 An overall flow chart of a fast charging method provided in an embodiment of this specification is shown, and the fast charging method can be used in the server 20.

[0021] like Figure 2 As shown, the fast charging method may include at least the following steps: Step 201: Acquire historical test data based on a target battery model of a target electric vehicle.

[0022] The historical test data includes a first test data group and a second test data group, wherein the first test data group is data obtained by testing the target battery through an interval charging method, and the second test data group is data obtained by testing the target battery through a linear interpolation charging method.

[0023] In an embodiment of the present specification, after receiving a fast charging instruction, in order to quickly charge the target electric vehicle, the corresponding historical test data can be first determined by the target battery model of the target electric vehicle. Among them, the charging system includes test data corresponding to all battery models currently available in the market. The test data can be obtained by continuously charging each type of battery using the interval charging method and the linear interpolation charging method, and real-time statistical monitoring of the battery parameter data of each type of battery. The battery parameter data includes real-time battery capacity, battery cell temperature, charging current, charging voltage and other data during the charging process. Therefore, the historical test data of the target battery model obtained can be divided into a first test data group and a second test data group. The first test data group includes the battery parameter data obtained by charging the target battery through the interval charging method, and the second test data group includes the battery parameter data obtained by charging the target battery through the linear interpolation charging method.

[0024] In one possible implementation, the acquiring of historical test data based on a target battery model of a target electric vehicle includes: Determine the target battery model for the target electric vehicle; The historical test data corresponding to the target battery model is determined based on the test database.

[0025] In the embodiment of this specification, since the test data in the system includes data corresponding to all battery models currently available in the current market, it is necessary to first determine the target battery model of the target electric vehicle through the charging instruction issued by the target user terminal or the remote touch screen. Then, the test data corresponding to all battery models can be organized into a test database, in which each battery model corresponds to a set of historical test data. Further, the determined target battery model is input into the test database, and the corresponding historical test data can be output.

[0026] Step 202: construct a current-capacity hyperbola composite graph and a current-temperature hyperbola composite graph in sequence based on the first test data group and the second test data group, and determine the mutation intersection capacity value in the current-capacity hyperbola composite graph and the mutation intersection temperature value in the current-temperature hyperbola composite graph based on an extreme value algorithm.

[0027] In the embodiments of the present specification, after obtaining the first test data group and the second test data group of the target battery model, the first test data group and the second test data group can be first screened out to exclude accidental error data caused by sensor acquisition errors. Then, each test data can be filled with a specified rule table, such as battery capacity, battery cell temperature and battery current meter, or the target data required for subsequent construction of the target curve can be selected. Further, an initial current-capacity coordinate system and an initial current-temperature coordinate system are constructed, and the corresponding target data are respectively fitted with punctuation curves in the current-capacity coordinate system according to the test grouping, and the first current-capacity curve corresponding to the first test data group and the second current-capacity curve corresponding to the second test data group are obtained. After merging, a current-capacity hyperbola composite graph is obtained, and a current-temperature hyperbola composite graph is obtained in the same way. Next, in order to determine which target charging method corresponds to a larger battery current at the target time under the same conditions, thereby achieving the purpose of reducing the battery charging time, the extreme value algorithm can be used to determine the intersection extreme mutation point of the two test curves in the current-capacity hyperbola composite diagram, and the corresponding mutation intersection capacity value can be determined based on the intersection extreme mutation point. Similarly, the mutation intersection temperature value in the current-temperature hyperbola composite diagram can be obtained.

[0028] In one possible implementation, sequentially constructing a current-capacity hyperbola composite graph and a current-temperature hyperbola composite graph based on the first test data group and the second test data group includes: Determine the current-capacity test data and the current-temperature test data in the first test data group and the second test data group respectively, wherein the current-capacity test data is the test data corresponding to a fixed battery cell temperature, and the current-temperature test data is the test data corresponding to a fixed battery capacity; Based on the test data grouping, curves are constructed for the current-capacity test data and the current-temperature test data respectively to obtain a current-capacity hyperbola composite graph and a current-temperature hyperbola composite graph, wherein the current-capacity hyperbola composite graph is a composite graph corresponding to the current-capacity test data, and the current-temperature hyperbola composite graph is a composite graph corresponding to the current-temperature test data.

[0029] In the embodiment of the present specification, the current-capacity hyperbola composite graph and the current-temperature hyperbola composite graph can be constructed by first determining the current-capacity test data corresponding to the test when the cell temperature is fixed in the first test data group, and the current-temperature test data corresponding to the test when the battery capacity is fixed. Then, the initial current-capacity coordinate system and the initial current-temperature coordinate system are constructed, and the current-capacity test data are curve-fitted in the initial current-capacity coordinate system to obtain the first current-capacity curve, and the current-temperature test data are curve-fitted in the initial current-temperature coordinate system to obtain the first current-temperature curve. Similarly, the current-capacity test data corresponding to the test when the cell temperature is fixed in the second test data group, and the current-temperature test data corresponding to the test when the battery capacity is fixed, are determined, and the current-capacity test data are curve-fitted in the initial current-capacity coordinate system to obtain the second current-capacity curve, and the current-temperature test data are curve-fitted in the initial current-temperature coordinate system to obtain the second current-temperature curve. Finally, the first current-capacity curve and the second current-capacity curve in the current-capacity coordinate system are integrated to obtain a current-capacity hyperbola composite graph, and the first current-temperature curve and the second current-temperature curve in the current-temperature coordinate system are integrated to obtain a current-temperature hyperbola composite graph.

[0030] In one possible implementation, the determining of the capacity value of the mutation intersection point in the current-capacity hyperbola composite graph and the temperature value of the mutation intersection point in the current-temperature hyperbola composite graph based on the extreme value algorithm respectively includes: Determine the first curve mutation point in the current-capacity hyperbola composite graph and the second curve mutation point in the current-temperature hyperbola composite graph based on an extreme value algorithm; The horizontal coordinate values ​​corresponding to the mutation point of the first curve and the mutation point of the second curve are determined respectively, and the mutation intersection capacity value corresponding to the mutation point of the first curve and the mutation intersection temperature value corresponding to the mutation point of the second curve are obtained.

[0031] In the embodiment of the present specification, taking the current-capacity hyperbola composite graph as an example, the extreme value points of the two current-capacity curves in the current-capacity hyperbola composite graph are first determined by the extreme value algorithm, and the target extreme value points that meet the requirements among all extreme value points are analyzed by the maximum value, that is, on one side of the target extreme value point, the maximum value of the first current-capacity curve is always greater than or equal to the maximum value of the second current-capacity curve, and on the other side of the target extreme value point, the maximum value of the first current-capacity curve is always less than the maximum value of the second current-capacity curve, and the target extreme value point is regarded as the first curve mutation point. Similarly, in the current-temperature hyperbola composite graph, the second curve mutation point is determined. Further, the horizontal coordinate value corresponding to the first curve mutation point, that is, the battery capacity at this time, is determined respectively, and is regarded as the mutation intersection capacity value corresponding to the first curve mutation point. Similarly, the horizontal coordinate value corresponding to the second curve mutation point is determined and regarded as the mutation intersection temperature value corresponding to the second curve mutation point.

[0032] Step 203: continuously monitor the charging state of the target battery to obtain real-time charging parameters.

[0033] The real-time charging parameters include real-time battery capacity and real-time battery cell temperature.

[0034] In the embodiments of this specification, in order to increase the charging speed of the target battery, it is necessary to continuously monitor the charging status of the target battery after the target battery is connected for charging, and analyze the optimal charging mode at this time through the obtained real-time charging parameters, so that the battery charging current is at the theoretical safe maximum value and the charging time is reduced.

[0035] The real-time charging parameters may include the real-time battery capacity and the real-time battery cell temperature of the target battery during the charging process.

[0036] Step 204: compare the real-time battery capacity with the mutation intersection capacity value, and the real-time battery cell temperature with the mutation intersection temperature value, respectively, to obtain comparison results, and determine the charging mode of the target battery in the current charging stage based on the comparison results.

[0037] The charging mode includes an interval charging mode and a linear charging mode.

[0038] In the embodiments of this specification, when the charging state of the target battery is continuously monitored, the real-time battery capacity collected in real time can be continuously compared with the determined mutation intersection capacity value, and the real-time battery cell temperature can be continuously compared with the determined mutation intersection temperature value, and a continuous and real-time comparison result can be obtained. Then, the optimal charging mode of the target battery in the current charging stage is determined based on the continuous and real-time comparison result, ensuring that the target battery maintains a high battery charging current from the start of charging to the completion of charging, thereby reducing the charging time of the target battery.

[0039] Among them, the optional charging modes include interval charging mode and linear charging mode.

[0040] In one possible implementation, the real-time battery capacity is compared with the mutation intersection capacity value, and the real-time battery cell temperature is compared with the mutation intersection temperature value, respectively, to obtain a comparison result, and the charging mode of the target battery in the current charging stage is determined based on the comparison result, including: Comparing the real-time battery capacity with the mutation intersection capacity value to obtain a first comparison result; Comparing the real-time battery core temperature with the mutation intersection temperature value to obtain a second comparison result; The first comparison result and the second comparison result are combined and judged to obtain a judgment result, and the charging mode of the target battery in the current charging stage is determined based on the judgment result.

[0041] In the embodiments of the present specification, the real-time battery capacity can be compared with the mutation intersection capacity value to obtain a first comparison result, and then the real-time battery cell temperature can be compared with the mutation intersection temperature value to obtain a second comparison result. Then, the first comparison result and the second comparison result are combined and judged to obtain a judgment result. Among them, the first comparison result may include two situations: the real-time battery capacity is not greater than the mutation intersection capacity value and the real-time battery capacity is greater than the mutation intersection capacity value. The second comparison result may include two situations: the real-time battery cell temperature is not greater than the mutation intersection temperature value and the real-time battery cell temperature is greater than the mutation intersection temperature value. Therefore, when performing a combined judgment, it is necessary to judge the four comparison results. Finally, the optimal charging mode corresponding to the target battery in the current charging stage is determined according to the judgment result.

[0042] In one possible implementation, determining the charging mode of the target battery in the current charging stage based on the judgment result includes: When the judgment result is characterized by that the first comparison result satisfies a first condition and the second comparison result satisfies a second condition, it is determined that the charging mode of the target battery in the current charging stage is a linear difference charging mode, the first condition is that the real-time battery capacity is not greater than the mutation intersection capacity value, and the second condition is that the real-time battery cell temperature is not greater than the mutation intersection temperature value; When the judgment result indicates that the first comparison result does not satisfy the first condition or the second comparison result does not satisfy the second condition, it is determined that the charging mode of the target battery in the current charging stage is the interval charging mode.

[0043] In the embodiment of this specification, the judgment results are divided into two types. When the judgment result is characterized by the real-time battery capacity of the target battery being not greater than the mutation intersection capacity value, and the real-time battery cell temperature being not greater than the mutation intersection temperature value, the charging mode of the target battery in the current charging stage is determined to be the linear difference charging mode. When the judgment result is characterized by the real-time battery capacity of the target battery being greater than the mutation intersection capacity value, or the real-time battery cell temperature being greater than the mutation intersection temperature value, the charging mode of the target battery in the current charging stage is determined to be the interval charging mode.

[0044] In one embodiment, the method further comprises: Determine at least two charging mode intervals based on the mutation intersection capacity value and the mutation intersection temperature value, and set a charging mode for each of the charging mode intervals respectively; A current charging mode interval corresponding to the real-time battery capacity and the real-time battery cell temperature is queried, and a charging mode of the target battery in a current charging stage is determined based on the current charging mode interval.

[0045] In the embodiments of this specification, when the charging state of the target battery is continuously monitored, multiple charging mode intervals can also be determined by first obtaining the mutation intersection capacity value and the mutation intersection temperature value. As an example, when two charging mode intervals are determined, the first charging mode interval and the second charging mode interval are determined by obtaining the mutation intersection capacity value and the mutation intersection temperature value. The charging mode corresponding to the first charging mode interval is the linear difference charging mode, and the charging mode corresponding to the second charging mode interval is the interval charging mode. Next, query the current charging mode interval corresponding to the real-time battery capacity and the real-time battery cell temperature, and determine the charging mode of the target battery in the current charging stage according to the charging mode interval.

[0046] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0047] See next Figure 3 , Figure 3 The structure diagram of a fast charging device for electric vehicles provided in the embodiment of this specification is shown. It should be noted that: Figure 3 The electric vehicle fast charging device shown is used to implement the present application Figure 2 For the convenience of explanation, only the part related to the embodiment of the present application is shown. For the specific technical details not disclosed, please refer to the present application. Figure 2 The embodiment shown.

[0048] like Figure 3 As shown, the electric vehicle fast charging device may include at least: An acquisition module 301 is used to acquire historical test data based on a target battery model of a target electric vehicle, wherein the historical test data includes a first test data group and a second test data group, wherein the first test data group is data obtained by testing the target battery through an interval charging method, and the second test data group is data obtained by testing the target battery through a linear interpolation charging method; A construction module 302 is used to construct a current-capacity hyperbola composite diagram and a current-temperature hyperbola composite diagram in sequence based on the first test data group and the second test data group, and determine the mutation intersection capacity value in the current-capacity hyperbola composite diagram and the mutation intersection temperature value in the current-temperature hyperbola composite diagram based on an extreme value algorithm; A monitoring module 303 is used to continuously monitor the charging state of the target battery and obtain real-time charging parameters, wherein the real-time charging parameters include real-time battery capacity and real-time battery cell temperature; The determination module 304 is used to compare the real-time battery capacity with the mutation intersection capacity value, and the real-time battery cell temperature with the mutation intersection temperature value, respectively, to obtain a comparison result, and determine the charging mode of the target battery in the current charging stage based on the comparison result, and the charging mode includes an interval charging mode and a linear charging mode.

[0049] In one possible implementation, the acquisition module 301 is specifically used for: Determine the target battery model for the target electric vehicle; The historical test data corresponding to the target battery model is determined based on the test database.

[0050] In one possible implementation, the construction module 302 is specifically used to: Determine the current-capacity test data and the current-temperature test data in the first test data group and the second test data group respectively, wherein the current-capacity test data is the test data corresponding to a fixed battery cell temperature, and the current-temperature test data is the test data corresponding to a fixed battery capacity; Based on the test data grouping, curves are constructed for the current-capacity test data and the current-temperature test data respectively to obtain a current-capacity hyperbola composite graph and a current-temperature hyperbola composite graph, wherein the current-capacity hyperbola composite graph is a composite graph corresponding to the current-capacity test data, and the current-temperature hyperbola composite graph is a composite graph corresponding to the current-temperature test data.

[0051] In one possible implementation, the construction module 302 is further configured to: Determine the first curve mutation point in the current-capacity hyperbola composite graph and the second curve mutation point in the current-temperature hyperbola composite graph based on an extreme value algorithm; The horizontal coordinate values ​​corresponding to the mutation point of the first curve and the mutation point of the second curve are determined respectively, and the mutation intersection capacity value corresponding to the mutation point of the first curve and the mutation intersection temperature value corresponding to the mutation point of the second curve are obtained.

[0052] In one possible implementation, the determination module 304 is specifically configured to: Comparing the real-time battery capacity with the mutation intersection capacity value to obtain a first comparison result; Comparing the real-time battery core temperature with the mutation intersection temperature value to obtain a second comparison result; The first comparison result and the second comparison result are combined and judged to obtain a judgment result, and the charging mode of the target battery in the current charging stage is determined based on the judgment result.

[0053] In one possible implementation, the determination module 304 is further configured to: When the judgment result is characterized by that the first comparison result satisfies a first condition and the second comparison result satisfies a second condition, it is determined that the charging mode of the target battery in the current charging stage is a linear difference charging mode, the first condition is that the real-time battery capacity is not greater than the mutation intersection capacity value, and the second condition is that the real-time battery cell temperature is not greater than the mutation intersection temperature value; When the judgment result indicates that the first comparison result does not satisfy the first condition or the second comparison result does not satisfy the second condition, it is determined that the charging mode of the target battery in the current charging stage is the interval charging mode.

[0054] In one possible implementation, the determination module 304 is further configured to: Determine at least two charging mode intervals based on the mutation intersection capacity value and the mutation intersection temperature value, and set a charging mode for each of the charging mode intervals respectively; A current charging mode interval corresponding to the real-time battery capacity and the real-time battery cell temperature is queried, and a charging mode of the target battery in a current charging stage is determined based on the current charging mode interval.

[0055] Those skilled in the art can clearly understand that the technical solutions of the embodiments of the present application can be implemented with the help of software and / or hardware. The "unit" and "module" in this specification refer to software and / or hardware that can independently complete or cooperate with other components to complete specific functions, where the hardware can be, for example, a field programmable gate array (FPGA), an integrated circuit (IC), etc.

[0056] Each processing unit and / or module of the embodiments of the present application may be implemented by an analog circuit that implements the functions described in the embodiments of the present application, or may be implemented by software that executes the functions described in the embodiments of the present application.

[0057] See next Figure 4 , Figure 4 A schematic diagram of the structure of an electronic device provided in an embodiment of this specification is shown.

[0058] like Figure 4 As shown, the electronic device 400 may include: at least one device processor 401 , at least one network interface 404 , a user interface 403 , a memory 405 , and at least one communication bus 402 .

[0059] The communication bus 402 may be used to realize the connection and communication among the above-mentioned components.

[0060] The user interface 403 may include buttons, and the optional user interface may also include a standard wired interface or a wireless interface.

[0061] The network interface 404 may include, but is not limited to, a Bluetooth module, an NFC module, a Wi-Fi module, etc.

[0062] Among them, the device processor 401 may include one or more processing cores. The device processor 401 uses various interfaces and lines to connect various parts within the entire electronic device 400, and executes various functions and processes data of the electronic device 400 by running or executing instructions, programs, code sets or instruction sets stored in the memory 405, and calling data stored in the memory 405. Optionally, the device processor 401 can be implemented in at least one hardware form of DSP, FPGA, and PLA. The device processor 401 can integrate one or a combination of CPU, GPU, modem, etc. Among them, the CPU mainly processes the operating system, user interface, and application programs; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to handle wireless communications. It can be understood that the above-mentioned modem may not be integrated into the device processor 401, and it can be implemented separately through a chip.

[0063] The memory 405 may include a RAM or a ROM. Optionally, the memory 405 includes a non-transitory computer-readable medium. The memory 405 may be used to store instructions, programs, codes, code sets or instruction sets. The memory 405 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned method embodiments, etc.; the data storage area may store data involved in the above-mentioned method embodiments, etc. The memory 405 may optionally be at least one storage device located away from the aforementioned device processor 401. As Figure 4 As shown, the memory 405 as a computer storage medium may include an operating system, a network communication module, a user interface module, and program instructions.

[0064] Specifically, the device processor 401 may be used to call the electric vehicle fast charging application stored in the memory 405, and specifically perform the following operations: Acquire historical test data based on a target battery model of a target electric vehicle, the historical test data comprising a first test data group and a second test data group, the first test data group being data obtained by testing the target battery through an interval charging method, and the second test data group being data obtained by testing the target battery through a linear interpolation charging method; Based on the first test data group and the second test data group, a current-capacity hyperbola composite graph and a current-temperature hyperbola composite graph are sequentially constructed, and based on an extreme value algorithm, a mutation intersection capacity value in the current-capacity hyperbola composite graph and a mutation intersection temperature value in the current-temperature hyperbola composite graph are respectively determined; Continuously monitoring the charging state of the target battery to obtain real-time charging parameters, wherein the real-time charging parameters include real-time battery capacity and real-time battery cell temperature; The real-time battery capacity is compared with the mutation intersection capacity value, and the real-time battery cell temperature is compared with the mutation intersection temperature value to obtain comparison results, and the charging mode of the target battery in the current charging stage is determined based on the comparison results, and the charging mode includes an interval charging mode and a linear charging mode.

[0065] As an option of the embodiment of this specification, the acquiring of historical test data based on the target battery model of the target electric vehicle includes: Determine the target battery model for the target electric vehicle; The historical test data corresponding to the target battery model is determined based on the test database.

[0066] As an optional embodiment of this specification, the step of sequentially constructing a current-capacity hyperbola composite graph and a current-temperature hyperbola composite graph based on the first test data group and the second test data group includes: Determine the current-capacity test data and the current-temperature test data in the first test data group and the second test data group respectively, wherein the current-capacity test data is the test data corresponding to a fixed battery cell temperature, and the current-temperature test data is the test data corresponding to a fixed battery capacity; Based on the test data grouping, curves are constructed for the current-capacity test data and the current-temperature test data respectively to obtain a current-capacity hyperbola composite graph and a current-temperature hyperbola composite graph, wherein the current-capacity hyperbola composite graph is a composite graph corresponding to the current-capacity test data, and the current-temperature hyperbola composite graph is a composite graph corresponding to the current-temperature test data.

[0067] As an optional embodiment of the present specification, the method of determining the mutation intersection capacity value in the current-capacity hyperbola composite graph and the mutation intersection temperature value in the current-temperature hyperbola composite graph based on the extreme value algorithm respectively includes: Determine the first curve mutation point in the current-capacity hyperbola composite graph and the second curve mutation point in the current-temperature hyperbola composite graph based on an extreme value algorithm; The horizontal coordinate values ​​corresponding to the mutation point of the first curve and the mutation point of the second curve are determined respectively, and the mutation intersection capacity value corresponding to the mutation point of the first curve and the mutation intersection temperature value corresponding to the mutation point of the second curve are obtained.

[0068] As an optional embodiment of this specification, the real-time battery capacity is compared with the mutation intersection capacity value, and the real-time battery cell temperature is compared with the mutation intersection temperature value to obtain a comparison result, and the charging mode of the target battery in the current charging stage is determined based on the comparison result, including: Comparing the real-time battery capacity with the mutation intersection capacity value to obtain a first comparison result; Comparing the real-time battery core temperature with the mutation intersection temperature value to obtain a second comparison result; The first comparison result and the second comparison result are combined and judged to obtain a judgment result, and the charging mode of the target battery in the current charging stage is determined based on the judgment result.

[0069] As an option of the embodiment of this specification, the determining the charging mode of the target battery in the current charging stage based on the judgment result includes: When the judgment result is characterized by that the first comparison result satisfies a first condition and the second comparison result satisfies a second condition, it is determined that the charging mode of the target battery in the current charging stage is a linear difference charging mode, the first condition is that the real-time battery capacity is not greater than the mutation intersection capacity value, and the second condition is that the real-time battery cell temperature is not greater than the mutation intersection temperature value; When the judgment result indicates that the first comparison result does not satisfy the first condition or the second comparison result does not satisfy the second condition, it is determined that the charging mode of the target battery in the current charging stage is the interval charging mode.

[0070] As an option of the embodiment of this specification, the method further includes: Determine at least two charging mode intervals based on the mutation intersection capacity value and the mutation intersection temperature value, and set a charging mode for each of the charging mode intervals respectively; A current charging mode interval corresponding to the real-time battery capacity and the real-time battery cell temperature is queried, and a charging mode of the target battery in a current charging stage is determined based on the current charging mode interval.

[0071] The embodiments of this specification also provide a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, the steps of the above method are implemented. The computer-readable storage medium may include, but is not limited to, any type of disk, including a floppy disk, an optical disk, a DVD, a CD-ROM, a micro drive, and a magneto-optical disk, a ROM, a RAM, an EPROM, an EEPROM, a DRAM, a VRAM, a flash memory device, a magnetic card or an optical card, a nanosystem (including a molecular memory IC), or any type of medium or device suitable for storing instructions and / or data.

[0072] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present application.

[0073] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0074] In the several embodiments provided in the present application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of the units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some service interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0075] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0076] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0077] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a memory, including a number of instructions to enable a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned memory includes: U disk, read-only memory (ROM), random access memory (RAM), mobile hard disk, disk or optical disk and other media that can store program codes.

[0078] A person skilled in the art may understand that all or part of the steps in the various methods of the above embodiments may be completed by entering a program to instruct related hardware, and the program may be stored in a computer-readable memory, which may include a flash drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc.

[0079] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

Claims

1. A method for fast charging of an electric vehicle, characterized in that: The method comprises: Acquire historical test data based on a target battery model of a target electric vehicle, the historical test data comprising a first test data group and a second test data group, the first test data group being data obtained by testing the target battery through an interval charging method, and the second test data group being data obtained by testing the target battery through a linear interpolation charging method; Based on the first test data group and the second test data group, a current-capacity hyperbola composite graph and a current-temperature hyperbola composite graph are sequentially constructed, and based on an extreme value algorithm, a mutation intersection capacity value in the current-capacity hyperbola composite graph and a mutation intersection temperature value in the current-temperature hyperbola composite graph are respectively determined; Continuously monitoring the charging state of the target battery to obtain real-time charging parameters, wherein the real-time charging parameters include real-time battery capacity and real-time battery cell temperature; The real-time battery capacity is compared with the mutation intersection capacity value, and the real-time battery cell temperature is compared with the mutation intersection temperature value to obtain comparison results, and the charging mode of the target battery in the current charging stage is determined based on the comparison results, and the charging mode includes an interval charging mode and a linear charging mode.

2. The method according to claim 1, characterized in that The acquiring of historical test data based on a target battery model of a target electric vehicle includes: Determine the target battery model for the target electric vehicle; The historical test data corresponding to the target battery model is determined based on the test database.

3. The method according to claim 1, characterized in that The step of sequentially constructing a current-capacity hyperbola composite graph and a current-temperature hyperbola composite graph based on the first test data group and the second test data group includes: Determine the current-capacity test data and the current-temperature test data in the first test data group and the second test data group respectively, wherein the current-capacity test data is the test data corresponding to a fixed battery cell temperature, and the current-temperature test data is the test data corresponding to a fixed battery capacity; Based on the test data grouping, curves are constructed for the current-capacity test data and the current-temperature test data respectively to obtain a current-capacity hyperbola composite graph and a current-temperature hyperbola composite graph, wherein the current-capacity hyperbola composite graph is a composite graph corresponding to the current-capacity test data, and the current-temperature hyperbola composite graph is a composite graph corresponding to the current-temperature test data.

4. The method according to claim 1, characterized in that: The method of respectively determining the capacity value of the mutation intersection point in the current-capacity hyperbola composite graph and the temperature value of the mutation intersection point in the current-temperature hyperbola composite graph based on the extreme value algorithm includes: Determine the first curve mutation point in the current-capacity hyperbola composite graph and the second curve mutation point in the current-temperature hyperbola composite graph based on an extreme value algorithm; The horizontal coordinate values ​​corresponding to the mutation point of the first curve and the mutation point of the second curve are determined respectively, and the mutation intersection capacity value corresponding to the mutation point of the first curve and the mutation intersection temperature value corresponding to the mutation point of the second curve are obtained.

5. The method according to claim 1, characterized in that The real-time battery capacity is compared with the mutation intersection capacity value, and the real-time battery cell temperature is compared with the mutation intersection temperature value to obtain a comparison result, and the charging mode of the target battery in the current charging stage is determined based on the comparison result, including: Comparing the real-time battery capacity with the mutation intersection capacity value to obtain a first comparison result; Comparing the real-time battery core temperature with the mutation intersection temperature value to obtain a second comparison result; The first comparison result and the second comparison result are combined and judged to obtain a judgment result, and the charging mode of the target battery in the current charging stage is determined based on the judgment result.

6. The method according to claim 5, characterized in that The determining, based on the judgment result, a charging mode of the target battery in the current charging stage includes: When the judgment result is characterized by that the first comparison result satisfies a first condition and the second comparison result satisfies a second condition, it is determined that the charging mode of the target battery in the current charging stage is a linear difference charging mode, the first condition is that the real-time battery capacity is not greater than the mutation intersection capacity value, and the second condition is that the real-time battery cell temperature is not greater than the mutation intersection temperature value; When the judgment result indicates that the first comparison result does not satisfy the first condition or the second comparison result does not satisfy the second condition, it is determined that the charging mode of the target battery in the current charging stage is the interval charging mode.

7. The method according to claim 1, characterized in that The method further comprises: Determine at least two charging mode intervals based on the mutation intersection capacity value and the mutation intersection temperature value, and set a charging mode for each of the charging mode intervals respectively; A current charging mode interval corresponding to the real-time battery capacity and the real-time battery cell temperature is queried, and a charging mode of the target battery in a current charging stage is determined based on the current charging mode interval.

8. A fast charging device for electric vehicles, characterized in that: The device comprises: An acquisition module, used for acquiring historical test data based on a target battery model of a target electric vehicle, wherein the historical test data includes a first test data group and a second test data group, wherein the first test data group is data obtained by testing the target battery through an interval charging method, and the second test data group is data obtained by testing the target battery through a linear interpolation charging method; A construction module, used to construct a current-capacity hyperbola composite diagram and a current-temperature hyperbola composite diagram in sequence based on the first test data group and the second test data group, and determine the mutation intersection capacity value in the current-capacity hyperbola composite diagram and the mutation intersection temperature value in the current-temperature hyperbola composite diagram based on an extreme value algorithm; A monitoring module, used to continuously monitor the charging state of the target battery and obtain real-time charging parameters, wherein the real-time charging parameters include real-time battery capacity and real-time battery cell temperature; A determination module is used to compare the real-time battery capacity with the mutation intersection capacity value, and the real-time battery cell temperature with the mutation intersection temperature value, respectively, to obtain a comparison result, and determine the charging mode of the target battery in the current charging stage based on the comparison result, and the charging mode includes an interval charging mode and a linear charging mode.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, wherein the computer-readable storage medium has instructions stored therein, and when the instructions are executed on a computer or a processor, the computer or the processor executes the steps of the method according to any one of claims 1 to 7.

Images