A charging control method and system for a super charging pile

Abstract

The present application discloses a charging control method and system for a super charging pile, which relates to the field of super charging, and the method includes: the super charging pile responds to the charging signal of the vehicle and sends an initial handshake signal to the vehicle; the super charging pile responds to the response signal returned by the vehicle, establishes a handshake with the vehicle according to the response signal, and determines the charging protocol and communication protocol of the vehicle according to the response signal; the super charging pile obtains the vehicle information of the vehicle according to the communication protocol, and sends the vehicle information to the service terminal, wherein the response signal is generated by the vehicle based on the initial handshake signal, and the vehicle information includes battery information and charging parameters; the super charging pile responds to the charging strategy sent by the service terminal, and executes the charging strategy according to the charging protocol to charge the vehicle. The present application can realize the effective charging of the vehicle, so as to effectively extend the service life of the vehicle battery.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of super charging, and in particular to a charging control method and system for a super charging pile. Background Art

[0002] With the rapid development of the electric vehicle market, the construction of charging infrastructure is becoming increasingly important. The popularity of electric vehicles depends not only on efficient battery technology, but also on the performance and charging methods of charging piles. As the core component of electric vehicles, the performance and life of batteries directly affect the user experience and economy of the entire vehicle.

[0003] Traditional charging piles usually adopt a fixed charging mode and only provide a single charging power and voltage. During the charging process, the communication between the vehicle and the charging pile mainly relies on basic current and voltage control. For traditional fast charging piles, due to their fixed charging mode, long-term high-power charging will put the vehicle's battery in a high-voltage state, which will accelerate battery aging and capacity decay.

[0004] In response to the above problems, the traditional charging method of charging piles has the problem of damaging the batteries of new energy vehicles, thereby reducing the battery life. Therefore, how to charge effectively to extend the battery life has become an urgent problem to be solved in the electric vehicle industry. Summary of the invention

[0005] The embodiments of the present application provide a charging control method and system for a super charging pile, which are used to effectively charge a vehicle and effectively extend the service life of the vehicle battery.

[0006] To achieve the above objectives, the embodiments of the present application adopt the following technical solutions:

[0007] In a first aspect, a charging control method for a super charging pile is provided, which is applied to a super charging control system, wherein the super charging control system includes a service terminal and at least two super charging piles, and the method includes:

[0008] The super charger responds to the charging signal of the vehicle and sends an initial handshake signal to the vehicle, wherein the charging signal is used to indicate that the vehicle and the super charger are physically connected through the charging interface of the vehicle;

[0009] In response to receiving a response signal returned by the vehicle, the super charging station establishes a handshake with the vehicle according to the response signal, and determines a charging protocol and a communication protocol of the vehicle according to the response signal;

[0010] The super charging pile obtains vehicle information of the vehicle according to the communication protocol, and sends the vehicle information to the service terminal, wherein the response signal is generated by the vehicle based on the initial handshake signal, and the vehicle information includes battery information and charging parameters;

[0011] In response to receiving the charging strategy sent by the service terminal, the super charging pile executes the charging strategy according to the charging protocol to charge the vehicle;

[0012] Among them, the charging strategy includes at least one slow charging stage and / or at least one fast charging stage, and each of the slow charging stages corresponds to a slow charging time period, and each of the fast charging stages corresponds to a fast charging time period. The charging strategy is determined by the service terminal based on the battery information and the charging parameters.

[0013] In a possible implementation manner of the first aspect, after executing the charging strategy to charge the vehicle according to the charging protocol, the method further includes:

[0014] The super charging pile acquires the charging information of the vehicle in real time and sends the charging information to the service terminal;

[0015] In response to receiving a charging strategy change instruction from the service terminal, the super charging pile adopts a changed charging strategy to charge the vehicle according to the charging strategy change instruction, wherein the charging strategy change instruction is generated by the service terminal based on the charging information received in real time.

[0016] In another possible implementation of the first aspect, the super charging pile is preloaded with a protocol database, and the super charging pile determines the charging protocol and the communication protocol of the vehicle according to the response signal, including:

[0017] The super charging pile parses the response signal to obtain an identifier and protocol information, wherein the identifier includes a vehicle model code and a battery type code, and the protocol information includes a charging protocol type;

[0018] The super charging pile determines, in the protocol database, a communication protocol between the vehicle and the charging pile according to the vehicle model code and the battery type code;

[0019] The super charging station determines a charging protocol for the vehicle according to the charging protocol type.

[0020] In another possible implementation manner of the first aspect, the battery information includes battery usage time, current battery power, battery type, and battery temperature, and the step of determining, by the service terminal, the charging strategy based on the battery information and the charging parameters includes:

[0021] When the battery temperature is within a preset temperature range, the service terminal determines the battery health of the vehicle according to the battery type and the battery usage time;

[0022] The service terminal determines the charging requirement of the vehicle according to the current battery power and the charging parameters;

[0023] The service terminal determines the charging strategy of the vehicle according to the battery health and the charging demand, and determines the slow charging time period of the slow charging phase and / or the fast charging time period of the fast charging phase in the charging strategy based on the battery health and / or the charging parameters.

[0024] In another possible implementation of the first aspect, the service terminal determines the battery health of the vehicle according to the battery type and the battery usage time, including:

[0025] The service terminal determines a corresponding initial battery health model according to the battery type;

[0026] The service terminal adopts a model iteration step to fuse the battery health model with a preset battery aging model to obtain an optimized battery health model;

[0027] The service terminal inputs the battery usage time into the optimized battery health model to obtain the battery health of the vehicle;

[0028] Wherein, the model iteration step includes:

[0029] Using a preset training set to perform model training on the initial battery health model, and obtaining error prediction samples and corresponding sample weights of the initial battery health model after the model training;

[0030] Increasing the weight of the sample in the training set corresponding to the erroneous prediction sample to obtain an updated training set, and iteratively training the battery aging model using the updated training set, and calculating the prediction error of the battery aging model during each iterative training;

[0031] Wherein, when the prediction error is less than a preset error threshold, the iterative training of the battery aging model is terminated, and when the prediction error is not less than the error threshold, the step of increasing the weight of the samples in the training set corresponding to the erroneous prediction samples is cyclically executed to obtain an updated training set, and the updated training set is used to iteratively train the battery aging model, and the prediction error of the battery aging model during each iterative training is calculated.

[0032] In another possible implementation manner of the first aspect, the charging parameter includes historical charging data, the historical charging data includes the number of historical charging times, and the historical charging amount, historical charging duration, and historical target charging amount of each charging, and the service terminal determines the charging demand of the vehicle according to the current battery power and the charging parameter, including:

[0033] The service terminal determines the required power of the vehicle according to the current battery power; and

[0034] The service terminal calculates an average charging duration of all historical charging durations in the historical charging data, and uses a preset demand index formula to calculate a demand index according to the average charging duration and the required power, wherein the demand index is used to characterize the charging demand of the vehicle;

[0035] The service terminal determines the required power of the vehicle according to the current battery power, including:

[0036] If the service terminal receives the target charge amount of the vehicle sent by the super charging pile within the preset time period, the required power of the vehicle is calculated according to the target charge amount and the current battery power, wherein the target charge amount is obtained by parsing the charging instruction sent by the super charging pile to the vehicle within the preset time period;

[0037] If the service terminal does not receive the target charge amount of the vehicle sent by the super charging pile within a preset time period, the target charge amount of the vehicle is determined according to the historical charging data, and the required power of the vehicle is calculated according to the target charge amount and the current battery power.

[0038] In another possible implementation manner of the first aspect, the service terminal determines a charging strategy for the vehicle according to the battery health and the charging demand, including:

[0039] When the demand index is greater than a preset index threshold and the battery health is greater than a preset health threshold, the service terminal determines that the charging strategy is an efficient charging strategy;

[0040] When the demand index is greater than a preset index threshold and the battery health is not greater than a preset health threshold, the service terminal determines that the charging strategy is a high-efficiency charging protection strategy;

[0041] When the demand index is not greater than a preset index threshold, the battery health is greater than a preset health threshold, and the required power is greater than a preset power threshold, the service terminal determines that the charging strategy is a fast charging strategy;

[0042] When the demand index is not greater than a preset index threshold, the battery health is not greater than a preset health threshold, and the required power is greater than a preset power threshold, the service terminal determines that the charging strategy is the efficient charging protection strategy;

[0043] When the demand index is not greater than a preset index threshold and the required power is not greater than a preset power threshold, the service terminal determines that the charging strategy is the fast charging strategy;

[0044] Among them, the efficient charging strategy includes a fast charging stage, the efficient charging protection strategy includes a first slow charging stage, a second fast charging stage and a third slow charging stage, and the fast charging strategy includes a first fast charging stage and a second slow charging stage.

[0045] In another possible implementation manner of the first aspect, the charging parameter further includes a maximum charging power, and the service terminal determines, based on the battery health and / or the charging parameter, a slow charging time period in the slow charging phase and / or a fast charging time period in the fast charging phase in the charging strategy, including:

[0046] When the charging strategy is the high-efficiency charging strategy, the service terminal divides the required power by the maximum charging power to obtain a fast charging time period of the fast charging stage;

[0047] When the charging strategy is the efficient charging protection strategy, the service terminal queries a corresponding first charging amount weight in a preset weight database according to the battery health, wherein the first charging amount weight includes a first weight, a second weight, and a third weight;

[0048] The service terminal uses the product of the required power and the first weight as the first charge capacity of the first slow charging stage, uses the product of the required power and the second weight as the second charge capacity of the second fast charging stage, and uses the product of the required power and the third weight as the third charge capacity of the third slow charging stage;

[0049] The service terminal divides the first charge amount by a preset slow charging power to obtain a first slow charging time period of the first slow charging stage, divides the second charge amount by the maximum charging power to obtain a second fast charging time period of the second fast charging stage, and divides the third charge amount by the preset slow charging power to obtain a third slow charging time period of the third slow charging stage;

[0050] When the charging strategy is the fast charging strategy, the service terminal queries the corresponding second charging amount weight in the weight database according to the battery health, wherein the second charging amount weight includes a fourth weight and a fifth weight;

[0051] The service terminal uses the product of the required power and the fourth weight as the fourth charging capacity of the first fast charging stage, and uses the product of the required power and the fifth weight as the fifth charging capacity of the second slow charging stage;

[0052] The service terminal divides the fourth charge amount by the maximum charging power to obtain a first fast charging time period of the first fast charging stage, and divides the fifth charge amount by a preset slow charging power to obtain a second slow charging time period of the second slow charging stage.

[0053] In a second aspect, the present application provides a super charging control system, comprising:

[0054] a service terminal;

[0055] At least two super charging piles are connected to the service terminal.

[0056] In a third aspect, the present application provides a service terminal, including:

[0057] a memory configured to store instructions; and

[0058] The processor is configured to call the instructions from the memory and implement the charging control method of the super charging pile when executing the instructions.

[0059] Through the above technical solution, the super charging pile first responds to the charging signal of the vehicle and sends an initial handshake signal to the vehicle to establish a physical connection. Subsequently, the super charging pile establishes a handshake with the vehicle according to the received response signal, and determines the charging protocol and communication protocol of the vehicle. Through this process, the super charging pile can obtain detailed information of the vehicle according to the communication protocol, and send this information to the service terminal, including battery information and charging parameters. Next, the super charging pile performs charging according to the charging strategy sent by the service terminal, which is dynamically formulated based on the battery information and charging parameters of the vehicle. The charging strategy includes at least one slow charging stage and / or at least one fast charging stage, and each stage corresponds to a specific charging time period. Through this intelligent charging control method, the super charging pile can flexibly execute the charging strategy according to the battery condition of the vehicle, thereby effectively avoiding the battery loss caused by high-voltage charging in the traditional charging pile, thereby effectively extending the service life of the battery. In summary, through this technical solution, not only the charging efficiency is optimized, but also the battery loss is significantly reduced, and the overall health of the battery is improved.

[0060] Other features and advantages of the embodiments of the present application will be described in detail in the subsequent specific implementation section. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] Figure 1 A schematic diagram of a flow chart of a charging control method for a super charging pile provided in an embodiment of the present application;

[0062] Figure 2 A schematic diagram of the structure of a super charging system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0063] In order to make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the technical scheme 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. It should be understood that the specific implementation methods described herein are only used to illustrate and explain the embodiments of the present application, and are not used to limit the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0064] It should be noted that if the embodiments of the present application involve directional indications (such as up, down, left, right, front, back...), such directional indications are only used to explain the relative position relationship, movement status, etc. between the components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly.

[0065] In addition, if there are descriptions involving "first", "second", etc. in the embodiments of the present application, the descriptions of "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or suggesting their relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In addition, the technical solutions between the various embodiments can be combined with each other, but they must be based on the ability of ordinary technicians in the field to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such combination of technical solutions does not exist and is not within the scope of protection required by this application.

[0066] Figure 1 The following is a schematic diagram showing a flow chart of a charging control method for a super charging pile according to an embodiment of the present application. Figure 1 As shown, the embodiment of the present application provides a charging control method for a super charging pile, which is applied to a super charging control system. The super charging control system is as follows Figure 2As shown, the super charging control system includes a service terminal 10 and at least two super charging piles 20, and the super charging piles are connected to the vehicle 30. The method may include the following steps.

[0067] S110: The Super Charger responds to a charging signal from the vehicle and sends an initial handshake signal to the vehicle, wherein the charging signal is used to indicate that a physical connection is established between the vehicle and the Super Charger through the charging interface of the vehicle.

[0068] S120: In response to receiving a response signal returned by the vehicle, the super charging pile establishes a handshake with the vehicle according to the response signal, and determines a charging protocol and a communication protocol of the vehicle according to the response signal;

[0069] S130: The super charging pile obtains vehicle information of the vehicle according to the communication protocol, and sends the vehicle information to the service terminal, wherein the response signal is generated by the vehicle based on the initial handshake signal, and the vehicle information includes battery information and charging parameters, the battery information includes battery usage time, current battery power, battery type and battery temperature, and the charging parameters include maximum charging power, charging voltage range, charging current range and historical charging data;

[0070] S140: In response to receiving the charging strategy sent by the service terminal, the super charging pile executes the charging strategy according to the charging protocol to charge the vehicle;

[0071] Among them, the charging strategy includes at least one slow charging stage and / or at least one fast charging stage, and each slow charging stage corresponds to a slow charging time period, and each fast charging stage corresponds to a fast charging time period. The charging strategy is determined by the service terminal based on battery information and charging parameters.

[0072] In this embodiment, when the vehicle and the super charging pile establish a physical connection through the charging interface, the vehicle will send a charging signal to the super charging pile. The charging signal is a low-level signal, indicating that the vehicle is ready to start the charging process. After the super charging pile (hereinafter referred to as the charging pile) detects the charging signal, it will immediately respond and send an initial handshake signal to the vehicle. The initial handshake signal is in the form of a PWM (pulse width modulation) signal, which is a technology that transmits analog signals in a digitally encoded manner.

[0073] In the scenario, the duty cycle of the PWM signal (the proportion of the high level time to the entire cycle) is used to encode different information. For example, a duty cycle of 5% may indicate that the maximum output current of the charging pile is 125A, while a duty cycle of 10% may indicate a maximum output current of 250A. By adjusting the duty cycle of the PWM signal, the charging pile can convey a variety of information to the vehicle, such as the type of charging pile, maximum output power, supported charging protocol version, etc.

[0074] In a specific implementation, when the control unit of the charging pile detects that the vehicle plug is inserted and receives a charging request signal, the PWM signal generator is immediately started. The PWM signal generator can generate a PWM signal with a specific duty cycle according to preset parameters (such as the maximum output capacity of the charging pile). The initial handshake signal is transmitted to the vehicle through the control wire of the charging interface. The whole process is usually completed within milliseconds to ensure a quick response to the vehicle's charging needs.

[0075] The response signal is generated by the vehicle based on the initial handshake signal (PWM signal). The vehicle's response signal may include the charging protocol version supported by the vehicle, the maximum allowable charging current, the communication parameters of the battery management system (BMS), etc.

[0076] After receiving the response signal from the vehicle, the Supercharger establishes a complete handshake with the vehicle based on the response signal. The handshake process involves multiple rounds of information exchange to ensure that both parties can communicate and transfer energy safely and efficiently during the charging process. During the handshake process, the Supercharger and the vehicle will exchange their respective capability parameters, safety restrictions, and preference settings to reach a consistent charging solution.

[0077] At the same time, the super charger will determine the charging protocol and communication protocol used by the vehicle based on the response signal. Charging protocols may include CHAdeMO, CCS (Combined Charging System), etc. Each protocol has its own specific communication method and charging process control method. Communication protocols may include CAN (Controller Area Network) bus communication, PLC (Power Line Communication) power line communication, etc.

[0078] After determining the charging protocol and communication protocol, the charging pile will configure its internal communication module and charging control unit accordingly. For example, if the CCS protocol is used, the charging pile will enable the corresponding communication interface and control logic to prepare to receive battery management system (BMS) data that complies with the CCS standard. If CAN bus communication is used, the charging pile will initialize the CAN controller and set the correct baud rate and message ID.

[0079] In one embodiment, after receiving the response signal from the vehicle, the main controller of the charging pile first parses the protocol information contained in the signal. Then, the main controller searches the internal protocol library and matches the corresponding communication and charging control modules. Then, the selected module is initialized and the necessary parameters (such as communication rate, message format, etc.) are set. Finally, a confirmation message is sent to the vehicle, indicating that it is ready for the next step of communication.

[0080] After determining the communication protocol, the super charger obtains detailed information about the vehicle in order to formulate the best strategy for the subsequent charging process. The super charger sends an information request to the vehicle through the previously established communication protocol (such as CAN bus or PLC). After receiving the request, the vehicle transmits its vehicle information to the charger.

[0081] Vehicle information mainly includes two categories: battery information and charging parameters. Battery information covers the current status and historical usage of the battery, including: 1. Battery usage time: reflects the age of the battery and helps to assess the degree of battery aging. 2. Current battery power: usually expressed as a percentage, indicating the remaining capacity of the battery. 3. Battery type: such as lithium-ion battery, lithium iron phosphate battery, etc. Different types of batteries have different charging characteristics. 4. Battery temperature: The current temperature of the battery, used to determine the safe charging power.

[0082] The charging parameters include the vehicle's requirements and restrictions on the charging process, including: 1. Maximum charging power: The maximum charging power that the vehicle can accept. Exceeding the power may damage the battery. 2. Charging voltage range: The voltage range that the vehicle's battery system can accept, usually defined by the minimum and maximum voltage values. 3. Charging current range: The current range allowed for safe charging, also defined by the minimum and maximum current values. 4. Historical charging data: Including the number of past charges, the duration of each charge, and the amount of electricity charged, etc., which helps analyze the health of the battery.

[0083] After obtaining the above vehicle information, the super charging pile will send it to the service terminal. The service terminal is the central control unit of the entire charging system, responsible for data processing, strategy formulation and coordination of multiple charging piles.

[0084] In a specific implementation, the charging pile can send a series of standardized data request commands to the vehicle through the established communication link. The data request commands may include "get battery status", "get charging parameters", etc. The vehicle's BMS system receives the above commands and extracts the corresponding information from its internal database. The BMS then packages the extracted information into data packets in a standard format and sends it back to the charging pile through the same communication link. The control unit of the charging pile receives these data packets, parses the information therein, and organizes it into a structured data set. Finally, the charging pile transmits the data set to the service terminal via a wired or wireless network connection.

[0085] Finally, the super charger starts the actual charging process. The charging process is based on the charging strategy sent by the service terminal, which is determined by the service terminal based on the vehicle information (including battery information and charging parameters).

[0086] Charging strategies usually include two main charging phases: slow charging phase and fast charging phase. For the slow charging phase, this phase is usually used when the battery power is low or high. When the battery power is very low, slow charging can avoid excessive stress on the battery. When the battery power is close to full, slow charging can accurately control the charging process to avoid overcharging. The charging current and power of the slow charging phase are relatively low, but it can better protect the battery. For the fast charging phase, this phase is usually used when the battery power is at a medium level. Fast charging can charge a large amount of power to the battery in a shorter time. The charging current and power in this phase are high. Although they are controlled within a safe range, they still affect the health of the battery. Therefore, if the charging strategy only includes fast charging, it is necessary to ensure that the battery is healthy enough.

[0087] Each charging stage has a corresponding time period, and the length of the time period can be dynamically determined based on the current state of the battery, the vehicle's charging requirements, the load on the power grid, etc.

[0088] During the execution of the charging strategy, the super charger will monitor various parameters in the charging process in real time, such as battery voltage, current, temperature, etc., and adjust the charging strategy in a timely manner according to the changes in the above parameters. For example, if the battery temperature is detected to rise too quickly during the fast charging stage, the charger may automatically switch to slow charging mode or temporarily reduce the charging power until the temperature drops back to a safe range.

[0089] A specific implementation of this embodiment may be: 1. After the charging pile receives the charging strategy sent by the service terminal, it first parses the various parameters in the strategy. 2. According to the charging strategy, the charging pile sets the initial charging mode (slow or fast). 3. The charging pile starts its power control unit and starts to supply power to the vehicle. 4. During the charging process, the charging pile continuously obtains real-time data from the vehicle through the communication protocol. 5. Based on the real-time data, the charging pile dynamically adjusts the charging voltage and current to ensure that the charging process meets the policy requirements and remains within a safe range. 6. When the switching conditions specified in the strategy are met (such as time or power thresholds), the charging pile automatically switches the charging mode. 7. The whole process continues until the conditions for charging completion are met (such as the battery is full or manually stopped by the user).

[0090] In this embodiment, the super charging pile first responds to the charging signal of the vehicle and sends an initial handshake signal to the vehicle to establish a physical connection. Subsequently, the super charging pile establishes a handshake with the vehicle according to the received response signal, and determines the charging protocol and communication protocol of the vehicle. Through this process, the super charging pile can obtain detailed information of the vehicle according to the communication protocol, and send this information to the service terminal, including battery information and charging parameters. Next, the super charging pile performs charging according to the charging strategy sent by the service terminal, which is dynamically formulated based on the battery information and charging parameters of the vehicle. The charging strategy includes at least one slow charging stage and / or at least one fast charging stage, and each stage corresponds to a specific charging time period. Through this intelligent charging control method, the super charging pile can flexibly execute the charging strategy according to the battery condition of the vehicle, thereby effectively avoiding the battery loss caused by the high-voltage charging in the traditional charging pile, thereby effectively extending the service life of the battery. In summary, through this technical solution, not only the charging efficiency is optimized, but also the battery loss is significantly reduced, and the overall health of the battery is improved.

[0091] In one implementation of this embodiment, after the vehicle is charged by executing the charging strategy according to the charging protocol, the following steps are also included:

[0092] S210: The super charging pile obtains charging information of the vehicle in real time and sends the charging information to the service terminal;

[0093] S220. In response to receiving a charging strategy change instruction from the service terminal, the super charging pile adopts a changed charging strategy to charge the vehicle according to the charging strategy change instruction, wherein the charging strategy change instruction is generated by the service terminal based on charging information received in real time.

[0094] When the charging pile executes the charging strategy for the vehicle, it continuously monitors and obtains the charging information of the vehicle in real time. The charging information includes but is not limited to key parameters such as battery voltage, current, temperature, charging power, charging speed, charged capacity, remaining power percentage, etc. The super charging pile captures the above data at a preset sampling frequency through built-in sensors and data acquisition systems. The acquired data is transmitted to the service terminal in real time through a secure and encrypted communication protocol.

[0095] The data transmission process can use high-speed, low-latency communication technologies such as 5G or dedicated fiber optic networks to ensure the timeliness and integrity of information. After the service terminal receives this real-time data, it will immediately parse and store it.

[0096] Based on the continuous reception and analysis of real-time charging information, the service terminal can use preset data analysis algorithms and artificial intelligence models to continuously evaluate the effectiveness of the current charging strategy. When the service terminal detects that there is room for optimization or special circumstances occur, it can automatically generate charging strategy change instructions. The decision-making factors of the service terminal include but are not limited to: battery health, ambient temperature, user charging preferences, grid load conditions, etc.

[0097] For example, suppose the initial charging strategy is to charge at a constant 80kW power, but the service terminal analyzes and finds that increasing the power to 100kW under current conditions can significantly shorten the charging time without affecting the battery life. At this time, the service terminal generates a charging strategy change instruction to increase the charging power to 100kW.

[0098] After receiving the change command, the super charger will immediately respond and adjust its output parameters. In the above example, the charger can smoothly increase the charging power from 80kW to 100kW while closely monitoring the battery's response. If any abnormality is found in the battery during the increase, the charger can immediately interrupt the adjustment and return to safe parameters, while sending an abnormality report to the service terminal.

[0099] This embodiment can maximize charging efficiency and shorten user waiting time while ensuring safety. At the same time, by accurately controlling charging parameters, battery life can be extended and energy efficiency can be improved. In addition, the charging process can better adapt to the needs of different models and different usage scenarios, providing users with a personalized charging experience.

[0100] This embodiment achieves all-round optimization of the charging process through real-time data collection, intelligent analysis and instant strategy adjustment, which not only greatly improves charging efficiency and safety, but also significantly extends battery life, bringing more convenient and reliable user experience to electric vehicle users.

[0101] In one implementation of this embodiment, the super charging pile is preloaded with a protocol database, and the super charging pile determines the charging protocol and communication protocol of the vehicle according to the response signal, including the following steps:

[0102] S310: The super charging pile parses the response signal to obtain an identifier and protocol information, wherein the identifier includes a vehicle model code, a battery type code, and a charging interface type, and the protocol information includes a charging protocol type;

[0103] S320: The super charging pile determines the communication protocol between the vehicle and the charging pile in a protocol database according to the vehicle model code and the battery type code;

[0104] S330. The super charging pile determines a charging protocol for the vehicle according to the charging protocol type.

[0105] After receiving the response signal sent by the vehicle, the super charging pile first performs signal analysis. The signal analysis process includes signal demodulation, data packet extraction and error checking. During the analysis process, the charging pile uses a preset decoding algorithm to convert the received digital signal into a readable data structure. The readable data mainly includes two parts: identifier and protocol information.

[0106] In this embodiment, the identifier contains three key elements: vehicle model code, battery type code and charging interface type. The vehicle model code is a unique alphanumeric combination used to identify a specific vehicle model, such as "EV2023-A" may represent a certain brand of Model A electric vehicle produced in 2023. The battery type code indicates the battery technology used in the vehicle, such as "LI-ION-01" may represent a specific specification of lithium-ion battery. The charging interface type describes the physical charging port standard used by the vehicle, such as "CCS-2" represents the universal CCS Type 2 interface.

[0107] The protocol information mainly includes the charging protocol type. For example, "CP-01" indicates a standardized charging protocol. The charging protocol type determines the specific parameter settings, safety inspection steps, and communication methods during the charging process.

[0108] Through the identifier and protocol information, the Supercharger can accurately identify the type of connected vehicle, battery characteristics and required charging method. This provides the necessary basic information for the subsequent charging process, ensuring the safety and efficiency of the charging operation.

[0109] After obtaining the vehicle model code and battery type code, the super charger starts to search for matching communication protocols in the preloaded protocol database. The protocol database is a highly structured data storage system that contains communication protocol information corresponding to various vehicle models and battery types. The database design uses efficient index structures such as B-trees or hash tables to ensure fast retrieval.

[0110] The search process first uses the vehicle model code as the primary key to locate the record of a specific vehicle model in the database. Then, the battery type code is further used as a secondary filtering condition to accurately match the applicable communication protocol. For example, for the vehicle model code "EV2023-A" and the battery type code "LI-ION-01", a specific communication protocol such as "PROTOCOL-X" can be matched.

[0111] The communication protocol defines the specific way of data exchange between the charging pile and the vehicle, including data format, transmission rate, encryption method, etc. For example, "PROTOCOL-X" stipulates the use of a specific data frame structure, transmits 100 data packets per second, and uses the AES-256 encryption algorithm to ensure communication security.

[0112] The process of determining the communication protocol also includes version compatibility checking. If there are multiple versions of the protocol in the database, the service terminal will select the latest compatible version. In addition, if there is no exact matching record in the database, the service terminal will adopt the closest common protocol and make dynamic adjustments in subsequent communications.

[0113] After determining the communication protocol, the super charging pile determines the specific charging protocol based on the charging protocol type previously parsed. The charging protocol is a set of specifications that defines the electrical parameters, safety measures, and control procedures throughout the charging process.

[0114] The determination process first involves the mapping of protocol types. For example, if the parsed charging protocol type is "CP-01", the service terminal will look for the corresponding detailed protocol specification in the internal data structure. The protocol specification may include: the range of charging voltage and current, the definition of charging curve, the steps of safety check, error handling mechanism, etc.

[0115] To illustrate with a specific example, let's assume that "CP-01" corresponds to a fast charging protocol suitable for high-performance electric vehicles. The protocol stipulates: the initial stage uses constant current charging with a current of 250A until the battery voltage reaches 400V; then it enters the constant voltage charging stage, maintaining a voltage of 400V until the charging current drops below 50A; finally, it enters the trickle charging stage, charging at a current of 10A until the battery is fully charged.

[0116] Determining the charging protocol also includes adjusting parameters. The service terminal will fine-tune the protocol based on previously acquired vehicle information (such as battery type and charging interface type). For example, if the battery temperature is detected to be high, the charging power can be reduced accordingly to ensure safety.

[0117] In addition, during the charging process, the charging pile will continuously monitor the battery status and dynamically adjust the charging parameters based on real-time data. A machine learning-based prediction model can be used to predict the optimal charging curve based on historical data and current status.

[0118] The process of determining the charging protocol directly affects the efficiency, safety and battery life of charging. The correct charging protocol can safely charge the battery in the shortest time while maximizing battery protection and extending its service life, which can effectively improve the user experience.

[0119] This embodiment achieves seamless connection between super charging piles and various electric vehicle models by accurately parsing vehicle information, intelligently matching communication protocols, and dynamically determining charging protocols. It not only improves the compatibility and flexibility of the charging process, but also significantly improves the safety and efficiency of charging, providing electric vehicle users with a more convenient and reliable charging experience, and effectively improving the user's charging experience.

[0120] In one implementation of this embodiment, the battery information includes battery usage time, current battery power, battery type and battery temperature. The step of the service terminal determining the charging strategy based on the battery information and charging parameters includes the following steps:

[0121] S410: When the battery temperature is within a preset temperature range, the service terminal determines the battery health of the vehicle according to the battery type and battery usage time;

[0122] S420, the service terminal determines the charging requirement of the vehicle according to the current battery power and charging parameters;

[0123] S430. The service terminal determines a charging strategy for the vehicle according to the battery health and charging demand, and determines a slow charging time period in a slow charging phase and / or a fast charging time period in a fast charging phase in the charging strategy based on the battery health and / or charging parameters.

[0124] Before determining the battery health, it is first necessary to verify whether the battery temperature is within a preset safe temperature range. The preset temperature range is preset, for example, it may be 0°C to 45°C.

[0125] If the battery temperature is within the safe range, the service terminal starts calculating the battery health. Battery health is a comprehensive indicator that reflects the overall condition and remaining life of the battery. The calculation process is mainly based on two key factors: battery type and battery usage time.

[0126] In one embodiment, the battery type determines the basic health calculation model. Different types of batteries (such as lithium-ion, lithium iron phosphate, etc.) have different performance characteristics and aging patterns. For example, for common lithium-ion batteries, a model based on exponential decay is usually used: health = 100×exp(-k×usage time), where k is the decay coefficient determined by the battery type.

[0127] Battery life includes calendar time and number of charge and discharge cycles. For example, suppose a battery has been used for 2 years and has undergone 500 complete charge and discharge cycles. For a specific type of battery, the equivalent life calculation formula is as follows: equivalent life = actual years of use + (number of charge and discharge cycles / expected life cycles) × expected life years.

[0128] Based on the above battery type and battery usage time, the service terminal can derive a battery health score between 0 and 100. For example, if the calculated health is 85, it means that the battery still retains 85% of its original capacity and performance.

[0129] Determining the charging needs of the vehicle involves a comprehensive analysis of the current battery charge and the charging parameters. In one embodiment, the service terminal first reads the current battery charge. The current battery charge is expressed as a percentage, such as 40%. The service terminal then refers to the target charge in the charging parameters. The target charge can be set by the user (such as charging to 80%), or it can be automatically determined by the service terminal based on the user's habits or travel plan.

[0130] Next, the service terminal calculates the amount of electricity that needs to be replenished. For example, if the battery capacity is 60kWh, the current charge is 40%, and the target charge is 80%, then the amount of electricity that needs to be replenished is: 60kWh×(80%-40%)=24kWh.

[0131] In another embodiment, the service terminal may also consider the following factors: 1. Charging efficiency: The actual amount of power input will be greater than the amount of power obtained by the battery because there is energy loss during the charging process. For example, if the charging efficiency is 90%, then to add 24kWh of power to the battery, it is actually necessary to input approximately 26.7kWh of electrical energy. 2. Charging curve: The charging speed of lithium-ion batteries is not constant. Usually, it can be charged quickly when the power is low, and the charging speed will drop significantly when it is close to full power. The service terminal can estimate the time curve of the entire charging process based on the battery characteristics. 3. Time limit: When the user sets the maximum charging time or hopes to complete the charging before a specific time. The service terminal evaluates whether the charging demand can be met within a given time. If not, it needs to adjust the charging target or prompt the user. 4. Grid load: In a smart grid environment, the service terminal needs to consider the current grid load status and can reduce the charging power or delay charging during peak power demand periods.

[0132] After obtaining the battery health and charging requirements, the service terminal determines a charging strategy based on the battery health and charging requirements to maximize battery protection and improve charging efficiency while meeting the charging requirements. The charging strategy includes a slow charging stage and / or a fast charging stage.

[0133] First, the service terminal can adjust the overall charging strategy according to the battery health. For example, if the battery health is less than 85%, a relatively conservative charging strategy can be adopted; if the health exceeds 85%, an aggressive fast charging strategy can be adopted. Specifically, for batteries with lower health, the slow charging time can be increased and the fast charging time can be reduced to reduce the pressure on the battery.

[0134] Next, the service terminal determines the specific parameters of fast charging and slow charging according to the charging requirements. For example, if 24kWh of electricity needs to be charged within 45 minutes, the following strategy can be formulated:

[0135] 1. Fast charging stage: lasts 30 minutes, using 50kW charging. The fast charging stage mainly targets the lower battery level, using the battery's ability to withstand high-power charging to quickly replenish most of the power.

[0136] 2. Slow charging stage: lasts for 15 minutes, with the power gradually reduced from 30kW to 10kW. The slow charging stage mainly targets the part with higher battery power, using lower power to protect the battery and complete the final charging process.

[0137] The service terminal can determine the power of the fast charging stage and the power of the slow charging stage through battery chemical characteristics, temperature management, battery life optimization, charging efficiency curve and user preferences. Specifically, since different types of batteries have different tolerances to charging power, the service terminal can adjust the charging power according to the battery chemical characteristics. For example, some batteries can withstand higher fast charging power; since high-power charging will cause the battery temperature to rise. The service terminal can estimate the temperature change during the charging process based on the initial battery temperature and ambient temperature, and adjust the charging power accordingly to ensure that the battery is always within a safe temperature range; in addition, since frequent high-power charging will accelerate battery aging. The service terminal can balance the ratio of fast charging and slow charging according to the battery's usage history and health status to extend the battery life; since the charging efficiency of the battery is different in different charging stages, the service terminal can use higher power charging in the most efficient stage and reduce the charging power in the stage where the efficiency decreases; finally, if the user sets a specific charging preference (such as giving priority to speed or battery life), the service terminal can adjust the strategy accordingly according to the user's preference.

[0138] This embodiment achieves comprehensive optimization of the electric vehicle charging process by accurately evaluating the battery health status, calculating the actual charging demand and formulating a personalized charging strategy. It not only improves the charging efficiency and shortens the charging time, but also effectively extends the battery life and improves the user experience.

[0139] In one implementation of this embodiment, the service terminal determines the battery health of the vehicle according to the battery type and battery usage time, including the following steps:

[0140] S510, the service terminal determines a corresponding initial battery health model according to the battery type;

[0141] S520, the service terminal uses a model iteration step to fuse the battery health model with a preset battery aging model to obtain an optimized battery health model;

[0142] S530, the service terminal inputs the battery usage time into the optimized battery health model to obtain the battery health of the vehicle;

[0143] The model iteration steps include:

[0144] S1. Use a preset training set to train the initial battery health model, and obtain the error prediction samples and corresponding sample weights of the initial battery health model after the model training;

[0145] S2. Increase the weight of the sample corresponding to the wrong prediction sample in the training set to obtain an updated training set, and use the updated training set to iteratively train the battery aging model, and calculate the prediction error of the battery aging model during each iterative training;

[0146] Among them, when the prediction error is less than a preset error threshold, the iterative training of the battery aging model is terminated, and when the prediction error is not less than the error threshold, the weights of the samples corresponding to the erroneous prediction samples in the training set are increased in a loop to obtain an updated training set, and the updated training set is used to iteratively train the battery aging model, and the prediction error of the battery aging model during each iterative training is calculated.

[0147] In this embodiment, since different types of batteries have different chemical characteristics and performance curves, the initial health model corresponding to the battery can be determined through the battery type database. Specifically, the battery type database stores the basic characteristics and initial health models of various common battery types (such as lithium ion, lithium iron phosphate, nickel metal hydride, etc.). The initial model is obtained based on the analysis of historical data, and an exponential decay or linear decay model can be used.

[0148] For example, for a typical lithium-ion battery, the initial health model can be an exponential decay function: H(t)=100×exp(-k×t), where H(t) is the health percentage after t time, and k is the decay coefficient. The k value will be different for different battery types. The service terminal will select the corresponding model from the database and set the initial parameters based on the input battery type.

[0149] The model iteration step is used to optimize the battery health model. The model iteration step uses model fusion technology to combine the initial battery health model with the preset battery aging model to obtain a more accurate and reliable model.

[0150] The model fusion process uses an ensemble learning method. In the fusion process, the initial model is regarded as a weak learner, while the battery aging model is used as a more complex strong learner. The fusion process continuously adjusts the weights of the two models through iterative training, and finally obtains a comprehensive model.

[0151] In specific implementation, algorithms such as gradient boosting decision tree can be used. For example, assuming that the health predicted by the initial model is Hi and the health predicted by the aging model is Ha, then the fused prediction can be: H=w1×Hi+w2×Ha, where w1 and w2 are weight coefficients that can be continuously adjusted during the iteration process.

[0152] At each iteration, the prediction error is calculated and the model parameters are adjusted according to the error. The iteration process continues until the error drops below a preset threshold or the maximum number of iterations is reached.

[0153] Finally, the battery life is input into the optimized battery health model to obtain the battery health of the vehicle. First, the battery life can be calendar time, and can also be calculated by the number of charge and discharge cycles, the number of deep discharges, etc. For example, the battery life calculation formula is as follows: Equivalent life = actual years of use + (number of charge and discharge cycles / expected life cycles) × expected life years + deep discharge coefficient.

[0154] Then, the equivalent use time is input into the optimized model. Take the optimized model as a polynomial function as an example: H(t)=a0+a1×t+a2×t 2 +...+an×t n , where t is the equivalent usage time and ai is the model parameter. The service terminal will perform function calculation and obtain a health score between 0 and 100.

[0155] For the model iteration step S1, the initial battery health model is trained using a preset training set, which is the first step in the optimization process to make the initial model better adapt to the actual data and improve its prediction accuracy.

[0156] The training set contains a large amount of historical data, each of which includes information such as battery type, usage time, actual measured health, etc. For example, a training sample may be: {battery type: lithium ion, usage time: 2 years, charge and discharge cycles: 500 times, actual health: 92%}.

[0157] The training process can use machine learning algorithms, such as gradient descent, to continuously adjust model parameters to minimize prediction errors. For example, for the initial model H(t) = 100×exp(-k×t), during the training process, the k value will be adjusted to minimize the difference between the model prediction value and the actual health value.

[0158] After the training is completed, the model is verified to find out the samples with incorrect predictions. Incorrectly predicted samples refer to samples where the difference between the model predicted value and the actual value exceeds a certain threshold (such as 5%). For these samples, their weights are calculated. In this embodiment, the error size is used as the weight basis. For example, if the predicted value is 85% and the actual value is 95%, the weight of the sample can be set to |95%-85%|=10%.

[0159] For S2, first, increase the weights of samples corresponding to incorrectly predicted samples in the training set so that the model pays more attention to samples that are difficult to accurately predict in the next round of training. For example, if the original weight of a sample is 1 and the prediction error is 10%, the new weight can be set to 1.1 or higher.

[0160] Next, the battery aging model is iteratively trained using the updated training set. A preset machine learning algorithm, such as XGBoost, can be used. During each iteration, the model parameters can be adjusted to better fit the high-weight samples.

[0161] After each iteration, the prediction error of the model is calculated. The average absolute error is usually used, which is the average of |predicted value-actual value| of all samples.

[0162] If the prediction error is less than the preset error threshold (for example, 3%), the iteration process is terminated, indicating that the model has achieved the expected accuracy. If the error is still higher than the threshold, the next iteration is continued, repeating the process of adding weights, training, and evaluation.

[0163] This embodiment achieves high-precision and high-reliability battery health prediction by combining the initial model and the iteratively optimized battery aging model. It not only takes into account the basic characteristics of the battery, but also captures complex aging patterns through machine learning algorithms, and can adapt to various actual usage scenarios. As data accumulates, the prediction accuracy will continue to improve.

[0164] In one implementation of this embodiment, the charging parameters include a maximum charging power, a charging voltage range, a charging current range, and historical charging data. The historical charging data includes the number of historical charging times, the historical charging amount of each charging, the historical charging duration, and the historical target charging amount (for example, the owner sets the vehicle to only charge to 90%, and 90% of the power is the target charging amount). The service terminal determines the charging demand of the vehicle according to the current battery power and the charging parameters, including the following steps:

[0165] S610, the service terminal determines the required power of the vehicle according to the current battery power; and

[0166] S620, the service terminal calculates the average charging time of all historical charging times in the historical charging data, and uses a preset demand index formula to calculate the demand index according to the average charging time and the required power, wherein the demand index is used to characterize the charging demand of the vehicle;

[0167] The service terminal determines the required power of the vehicle based on the current battery power, including:

[0168] S630: If the service terminal receives a target charge amount of the vehicle sent by the super charging pile within a preset time period, the service terminal calculates the required power of the vehicle according to the target charge amount and the current battery power, wherein the target charge amount is obtained by parsing the charging instruction sent by the super charging pile to the vehicle within the preset time period;

[0169] S640: If the service terminal does not receive the target charge amount of the vehicle sent by the super charging pile within the preset time period, the target charge amount of the vehicle is determined according to the historical charging data, and the required power of the vehicle is calculated according to the target charge amount and the current battery power.

[0170] This embodiment first obtains the current battery power, which can be obtained through data transmitted in real time by the vehicle battery management system (BMS). The current battery power is usually expressed as a percentage, such as 75%. Next, the percentage is converted into an actual power value. Assuming that the total capacity of the vehicle battery is 60kWh and the current power is 75%, the actual power is 45kWh.

[0171] The calculation of the required power also needs to take into account the user's charging habits. For example, if the user usually charges the battery to 90%, the required power is the difference between the 90% capacity and the current power, that is, (0.9×60kWh)-45kWh=9kWh.

[0172] After that, the preset demand index formula is used to calculate the demand index based on the average charging time and the required power. First, the average of all charging times in the historical charging data is calculated. For example, if there are 10 historical charging records with durations of 2 hours, 2.5 hours, 1.8 hours, etc., then the average charging time is 2.1 hours.

[0173] Next, the demand index is calculated using a preset demand index formula. The demand index formula may be: demand index = (required power / total battery capacity) × (average charging time / standard charging time).

[0174] For example, assuming the required power is 9 kWh, the total battery capacity is 60 kWh, the average charging time is 2.1 hours, and the standard charging time (for example, the time required to charge from 20% to 80%) is 1.5 hours, then the demand index can be: (9 / 60)×(2.1 / 1.5)=0.21.

[0175] The larger the index value, the more urgent the charging demand. You can set it below 0.3 as low demand, 0.3 to 0.7 as medium demand, and above 0.7 as high demand.

[0176] For the case where the user actively sets the charging target, when the Super Charging Station receives the charging instruction sent by the user through the vehicle system or mobile application, it first parses the instruction to obtain the target charging amount, and then transmits the target charging amount to the service terminal within a preset time period (ranging from a few seconds to a few minutes).

[0177] After the service terminal receives the target charge amount, it uses the target charge amount to calculate the required power. The calculation formula is: required power = target charge amount - current battery power. For example, if the user sets the target charge amount to 90% (assuming the total battery capacity is 60kWh), and the current battery power is 45kWh (75%), then the required power is (0.9×60kWh)-45kWh=9kWh.

[0178] When the service terminal does not receive the target charge amount set by the user within the preset time period, it can estimate the possible target charge amount based on the historical charging data. Specifically, first, the service terminal will analyze the historical charging data, paying special attention to the distribution of historical target charge amounts. It can calculate the average target charge amount of the last N charges, or use a weighted average to give a higher weight to the most recent charging record.

[0179] For example, if the target charge levels for the last five charges were 85%, 90%, 88%, 92%, and 87%, respectively, then the simple average is 88.4%. If a weighted average is used, the target charge level could be 89%.

[0180] After the estimated target charge capacity is determined, the method for calculating the required power capacity is the same as step S630: required power capacity = estimated target charge capacity - current battery capacity.

[0181] This embodiment can provide a reasonable charge capacity estimation even without explicit instructions from the user, which not only effectively improves the automation level of the charging process, but also effectively improves the user experience.

[0182] In one implementation of this embodiment, the service terminal determines the charging strategy of the vehicle according to the battery health and charging demand, including the following steps:

[0183] S710: When the demand index is greater than a preset index threshold and the battery health is greater than a preset health threshold, the service terminal determines that the charging strategy is an efficient charging strategy;

[0184] S720: When the demand index is greater than a preset index threshold and the battery health is not greater than a preset health threshold, the service terminal determines that the charging strategy is an efficient charging protection strategy;

[0185] S730: When the demand index is not greater than the preset index threshold, the battery health is greater than the preset health threshold, and the required power is greater than the preset power threshold, the service terminal determines that the charging strategy is a fast charging strategy;

[0186] S740: When the demand index is not greater than the preset index threshold, the battery health is not greater than the preset health threshold, and the required power is greater than the preset power threshold, the service terminal determines that the charging strategy is an efficient charging protection strategy;

[0187] S750: When the demand index is not greater than the preset index threshold and the required power is not greater than the preset power threshold, the service terminal determines that the charging strategy is a fast charging strategy;

[0188] Among them, the efficient charging strategy includes a fast charging stage, the efficient charging protection strategy includes a first slow charging stage, a second fast charging stage and a third slow charging stage, and the fast charging strategy includes a first fast charging stage and a second slow charging stage.

[0189] In step S710, the service terminal can decide whether to adopt an efficient charging strategy based on the demand index and the battery health. The efficient charging strategy means that the entire charging process will adopt a fast charging mode to meet the user's emergency charging needs to the greatest extent.

[0190] In the specific implementation, two key thresholds need to be set first: the preset index threshold and the preset health threshold. The setting of the preset index threshold and the preset health threshold is based on a large amount of historical data analysis and battery performance research. For example, the preset index threshold is set to 0.7, and the preset health threshold is set to 85%.

[0191] When the demand index exceeds the preset index threshold (for example, 0.75>0.7) and the battery health is higher than the preset health threshold (for example, 88%>85%), the efficient charging strategy can be activated. The efficient charging strategy usually occurs when the user urgently needs to charge quickly and the battery is in good health.

[0192] In an efficient charging strategy, the charging process will continue at the maximum allowed power. For example, for a charging station with a maximum charging power of 150kW, the entire charging process may continue to charge at a power of 120-150kW until the battery capacity is close to full.

[0193] The efficient charging strategy can provide the vehicle with the maximum amount of power in the shortest time, which is suitable for time-sensitive users. For example, a vehicle with a battery capacity of 75kWh may take 40 minutes to charge from 20% to 80% under normal circumstances, but it may only take 25-30 minutes using the efficient charging strategy.

[0194] However, it should be noted that frequent use of high-efficiency charging strategies may accelerate battery aging. Therefore, the service terminal will continuously monitor the battery status and automatically adjust to other more conservative charging strategies once it finds that the battery health drops below the threshold.

[0195] When charging needs are urgent but the battery is in poor health, the service terminal will adopt an efficient charging protection strategy that balances the need for fast charging and the need to protect the battery.

[0196] The efficient charging protection strategy consists of three stages: the first slow charging stage, the second fast charging stage and the third slow charging stage. This "slow-fast-slow" charging mode is designed to maximize battery protection while meeting the user's fast charging needs as much as possible.

[0197] In specific implementation, the service terminal first determines whether the demand index exceeds the preset threshold (for example, 0.75>0.7), and whether the battery health is lower than the preset threshold (for example, 82%<85%). When these two conditions are met, the efficient charging protection strategy is activated.

[0198] In the first slow charging stage, the battery is preheated and conditioned at a lower power (e.g. 20-30kW), which can last for 5-10 minutes. The purpose of the first slow charging stage is to reduce the stress on the battery and prepare for the subsequent fast charging.

[0199] The second fast charging phase is the main phase of charging, which can increase the charging power to a higher level (e.g. 80-100kW), but not to the maximum power. The phase can last 15-20 minutes, or until the battery capacity reaches a certain percentage (e.g. 70%).

[0200] In the third slow charging stage, the charging power is reduced again (for example, to 40-50kW) until charging is complete. The purpose of the third slow charging stage is to prevent the battery from continuing to be stressed by high-power charging when it is in a high-power state.

[0201] An efficient charging protection strategy can protect the battery while still providing relatively fast charging services. For example, for a 75kWh vehicle, charging from 20% to 80% may take 35-40 minutes, which is faster than full slow charging, but slower than continuous high-power charging, thus effectively extending the battery life while meeting the user's charging needs.

[0202] The fast charging strategy handles situations where the charging demand is low, the battery is in good health, but the required amount of power is large. In this case, the service terminal will use the fast charging strategy, which includes a fast charging phase and a slow charging phase.

[0203] In specific implementation, first determine whether the demand index does not exceed the preset threshold (for example, 0.65 < 0.7), whether the battery health is higher than the preset threshold (for example, 88% > 85%), and whether the required power is greater than the preset power threshold (for example, 30kWh required to be charged > the preset 25kWh threshold). When these three conditions are met at the same time, the fast charging strategy is started.

[0204] In the first fast charging stage, charging is performed at a higher power (e.g. 100-120kW). The first fast charging stage lasts until the battery capacity reaches a certain percentage (e.g. 70% or 80%), or for a preset time (e.g. 20-25 minutes). The purpose of the first fast charging stage is to provide the vehicle with most of the required power as quickly as possible within the battery's capacity.

[0205] In the second slow charging stage, the charging power is reduced (for example, to 40-60 kW) until charging is complete. The purpose of the second slow charging stage is to charge the battery to the target power while protecting the battery.

[0206] A fast charging strategy can provide a large amount of power to the vehicle in a relatively short period of time, while protecting the battery through slow charging in the later stage. For example, for a 75kWh capacity vehicle that needs to be charged from 20% to 90%, the entire charging process may take 40-45 minutes. Among them, the first 25 minutes may be charged at a power of 100kW, increasing the power from 20% to about 75%, and then continue to charge at a power of 50kW for 15-20 minutes to increase the power to 90%.

[0207] The fast charging strategy is suitable for users who need to travel long distances but are not in a hurry. It can not only meet the charging needs of users, but also protect the battery to a certain extent and extend the battery life.

[0208] When the charging demand is not so urgent, the battery health is poor, but the required power is large, the service terminal will adopt an efficient charging protection strategy, which includes three stages: the first slow charging stage, the second fast charging stage and the third slow charging stage.

[0209] In specific implementation, first determine whether the demand index does not exceed the preset threshold (for example, 0.65 < 0.7), whether the battery health is not greater than the preset health threshold (for example, 82% < 85%), and whether the required power is greater than the preset power threshold (for example, 30kWh needs to be charged > the preset 25kWh threshold). When these three conditions are met at the same time, the efficient charging protection strategy is started.

[0210] In the first slow charging stage, the battery is preheated and conditioned at a lower power (e.g. 20-30kW), which may last for 10-15 minutes. The purpose of the first slow charging stage is to reduce the stress on the battery in preparation for the subsequent fast charging, especially considering the poor battery health.

[0211] The second fast charge phase is the main phase of charging, during which the charging power is increased to a moderate level (e.g. 60-80kW). The second fast charge phase can last for 20-25 minutes, or until the battery capacity reaches a certain percentage (e.g. 65%). The power level is chosen taking into account the health of the battery to avoid excessive stress on the battery.

[0212] In the third slow charging stage, the charging power is reduced again (for example, to 30-40 kW) until charging is completed, so as to prevent the battery from being under the pressure of higher power charging when it is in a high power state, thereby further protecting the battery.

[0213] An efficient charging protection strategy can provide relatively fast charging services while protecting the battery to the greatest extent. For example, for a 75kWh vehicle, charging from 20% to 80% may take 50-55 minutes. Although the charging time is longer than other strategies, this method can effectively extend the battery life and is particularly suitable for vehicles with poor battery health.

[0214] The efficient charging protection strategy is suitable for users who need to travel long distances but whose vehicle batteries are in poor condition. It can protect the battery to the maximum extent while meeting charging needs.

[0215] For situations where charging needs are less urgent and less power is required, a fast charging strategy is adopted. In this case, regardless of the battery health, the service terminal will adopt a fast charging strategy, which includes a first fast charging stage and a second slow charging stage.

[0216] In specific implementation, first determine whether the demand index does not exceed the preset threshold (for example, 0.65 < 0.7), and whether the required power is not greater than the preset power threshold (for example, 20kWh < the preset 25kWh threshold). When these two conditions are met at the same time, the fast charging strategy is started. It is worth noting that in this case, battery health is not the determining factor.

[0217] In the first fast charging stage, charging is performed at a higher power (e.g. 80-100kW). The first fast charging stage lasts until the battery capacity reaches a certain percentage (e.g. 20% increase) or for a preset time (e.g. 10-15 minutes) to quickly provide the vehicle with most of the required power.

[0218] In the second slow charging stage, the charging power is reduced (for example, to 40-50 kW) until charging is completed, so as to charge the battery to the target power while protecting the battery.

[0219] The fast charging strategy can provide the vehicle with the required small amount of power in a relatively short period of time, while protecting the battery through slow charging later. This strategy is suitable for users who only need a small amount of charging, such as short-distance commuting or temporary need for a small amount of power. It can quickly meet the user's charging needs, and at the same time, due to the small amount of charging, the impact on the battery is relatively small. Even for vehicles with poor battery health, this short-term fast charging will not cause significant negative effects.

[0220] In addition, fast charging strategies can also help improve the efficiency of charging station usage. Due to the shorter charging time, more vehicles can be served faster, reducing user waiting time and improving the overall charging station throughput.

[0221] Specifically, for S710-S750, see Table 1 below:

[0222] Table 1

[0223]

[0224] In one implementation of this embodiment, the charging parameter also includes a maximum charging power. The service terminal determines a slow charging time period in a slow charging phase and / or a fast charging time period in a fast charging phase in the charging strategy based on the battery health and / or the charging parameter, including the following steps:

[0225] S810: When the charging strategy is a high-efficiency charging strategy, the service terminal divides the required power by the maximum charging power to obtain a fast charging time period in the fast charging phase;

[0226] S820: When the charging strategy is the efficient charging protection strategy, the service terminal queries a corresponding first charging amount weight in a preset weight database according to the battery health, wherein the first charging amount weight includes a first weight, a second weight, and a third weight;

[0227] S830, the service terminal uses the product of the required power and the first weight as the first charging capacity of the first slow charging stage, uses the product of the required power and the second weight as the second charging capacity of the second fast charging stage, and uses the product of the required power and the third weight as the third charging capacity of the third slow charging stage;

[0228] S840. The service terminal divides the first charge amount by the preset slow charging power to obtain a first slow charging time period of the first slow charging stage, divides the second charge amount by the maximum charging power to obtain a second fast charging time period of the second fast charging stage, and divides the third charge amount by the preset slow charging power to obtain a third slow charging time period of the third slow charging stage;

[0229] S850: When the charging strategy is a fast charging strategy, the service terminal queries a corresponding second charging amount weight in a weight database according to the battery health, wherein the second charging amount weight includes a fourth weight and a fifth weight;

[0230] S860: The service terminal uses the product of the required power and the fourth weight as the fourth charging capacity in the first fast charging stage, and uses the product of the required power and the fifth weight as the fifth charging capacity in the second slow charging stage;

[0231] S870. The service terminal divides the fourth charging amount by the maximum charging power to obtain a first fast charging time period of the first fast charging stage, and divides the fifth charging amount by the preset slow charging power to obtain a second slow charging time period of the second slow charging stage.

[0232] The charging amount of each stage is allocated according to the battery health and / or charging parameters. Especially in the efficient charging protection strategy, it can be reasonably allocated in the following ways to balance the charging efficiency and battery life and ensure that the battery is effectively protected during the charging process. Required power = target charging amount − current battery power, demand index (DI) = average charging time / required power × K, where K is a preset parameter.

[0233] In this embodiment, the basic principles of the charging strategy are as follows: If the battery health is high, more charging capacity can be allocated in the fast charging stage, and the charging capacity in the slow charging stage can be reduced. If the battery health is low, the charging capacity in the slow charging stage can be increased to protect the battery, and the charging capacity in the fast charging stage can be reduced. Taking the efficient charging protection strategy as an example, the three stages are as follows: 1. The first slow charging stage (slow charging); 2. The second fast charging stage (fast charging); 3. The third slow charging stage (slow charging). First, it is necessary to determine the required charging capacity (for example, 36kWh) and allocate it to each stage. Assuming that the charging capacity is set to: the total charging capacity Qt, according to the different battery health, the allocation of charging capacity can be expressed by the following formula:

[0234] Battery health is high (e.g. health > 80%):

[0235] The first slow charging stage: ;

[0236] Second fast charging stage: ;

[0237] The third slow charging stage: .

[0238] Medium battery health (e.g., 50%-80%):

[0239] The first slow charging stage: ;

[0240] Second fast charging stage: ;

[0241] The third slow charging stage: .

[0242] Battery health is low (e.g. health < 50%):

[0243] The first slow charging stage: ;

[0244] Second fast charging stage: ;

[0245] The third slow charging stage: .

[0246] To calculate the charging time for each charging strategy stage, the service terminal can formulate corresponding charging time periods based on battery health and charging requirements. The following are the steps and methods for determining the slow charging and fast charging time periods:

[0247] According to different charging strategies, the charging process can be divided into the following stages: high-efficiency charging strategy: always fast charging; high-efficiency charging protection strategy: first slow charging stage, second fast charging stage, third slow charging stage; fast charging strategy: first fast charging stage, second slow charging stage.

[0248] Charging power (kW): determined by the output power of the charger and the charging capacity of the battery. Battery capacity (kWh): the total capacity of the battery, which can be obtained through the vehicle database.

[0249] The charging time can be calculated by the following formula:

[0250] ;

[0251] For efficient charging strategies, calculate the required charging capacity (kWh) = target capacity - current capacity.

[0252] Charging time (T 快充 ):

[0253] ;

[0254] For the first slow charging stage of the efficient charging protection strategy (the set power is the slow charging power):

[0255] ;

[0256] The second fast charging stage (set power to fast charging power):

[0257] ;

[0258] The third slow charging stage:

[0259] .

[0260] It should be noted that the specific allocation of charging amount in the charging strategy can refer to the following principles: if the battery health is high, the charging amount in the fast charging stage can be increased. If the battery health is low, the charging amount in the slow charging stage can be increased to protect the battery.

[0261] In summary, the specific strategies are summarized in the following table:

[0262]

[0263] When a large amount of electricity is required, the average charging time of users is longer (the demand index is lower): when the battery health is high, the charging strategy is "fast first, then slow"; when the battery health is low, the strategy is "slow first, then fast, and then slow again".

[0264] The average charging time of users is shorter (the demand index is higher): the battery health is high, and the charging strategy is "always fast charging"; the battery health is low, and the charging strategy is "slow first, then fast, and then slow again".

[0265] When the amount of electricity required is small, the average charging time of users is shorter (the demand index is higher): when the battery health is high, the charging strategy is "always fast charging"; when the battery health is low, the charging strategy is "first slow, then fast, then slow again".

[0266] The average charging time of users is longer (lower demand index): the battery health is high or low, and the charging strategy is "fast first, then slow".

[0267] Under the efficient charging strategy, the service terminal can determine the duration of the fast charging phase. Specifically, the required power is divided by the maximum charging power to obtain the fast charging time period to fully charge the battery in the shortest time. For example, if an electric vehicle needs to be charged with 60kWh of power and the maximum charging power is 120kW, then the fast charging time period is 60kWh / 120kW=0.5 hours, or 30 minutes. This strategy is suitable for situations where users are in urgent need of fast charging, such as short stops during long journeys. However, it should be noted that long-term and frequent use of maximum power charging may have a certain impact on battery life. Therefore, this strategy is more suitable for occasional use rather than a regular choice for daily charging. The efficient charging strategy has a fast charging speed, which can effectively shorten the user's waiting time and improve the utilization efficiency of charging stations.

[0268] When adopting an efficient charging protection strategy, the service terminal can determine the charging plan according to the battery health. First, according to the current battery health, the corresponding first charge amount weight is searched in the pre-set weight database. The weight consists of three parts: the first weight, the second weight, and the third weight, which correspond to the three charging stages respectively. The weight database is determined based on a large amount of battery usage data and research results, and can give the optimal charging strategy according to different battery health conditions. For example, for a battery with a health of 80%, the weight database may give the following weights: the first weight is 0.2, the second weight is 0.6, and the third weight is 0.2. It indicates that the charging process will be divided into three stages, accounting for 20%, 60% and 20% of the total charge, respectively, taking into account both charging efficiency and battery protection, and being able to achieve a good balance between charging speed and battery life. In this way, personalized charging solutions can be provided for batteries in different health states, which not only meets the charging needs of users, but also protects the battery to the maximum extent.

[0269] After determining the charge weight, the service terminal can specifically calculate the charge for each charging stage. This step multiplies the total required power by each weight to obtain the specific charge for the three charging stages. The charge for the first slow charging stage is equal to the required power multiplied by the first weight, the charge for the second fast charging stage is equal to the required power multiplied by the second weight, and the charge for the third slow charging stage is equal to the required power multiplied by the third weight. For example, suppose that an electric vehicle needs to be charged with 60kWh of power, and the weights are 0.2, 0.6, and 0.2 respectively. Then, the first slow charging stage will charge 60kWh×0.2=12kWh, the second fast charging stage will charge 60kWh×0.6=36kWh, and the third slow charging stage will charge 60kWh×0.2=12kWh. This staged charging method can better protect the battery, effectively avoid long-term high-power charging, and also ensure the efficiency of the charging process. By using slow charging at the beginning and end of charging, the stress on the battery can be reduced and the risk of battery overheating and excessive aging can be reduced. Using fast charging in the intermediate stage can protect the battery while meeting the user's demand for charging speed.

[0270] After calculating the charge amount of each charging stage, the service terminal can further determine the specific charging time of each stage. For the slow charging stage (the first and third stages), the charge amount can be divided by the preset slow charging power to calculate the time. For the fast charging stage (the second stage), the charge amount is divided by the maximum charging power to calculate the time. For example, assuming that the preset slow charging power is 7kW and the maximum charging power is 120kW, then based on the previous example, the first slow charging time period is 12kWh / 7kW≈1.71 hours, the second fast charging time period is 36kWh / 120kW=0.3 hours, and the third slow charging time period is 12kWh / 7kW≈1.71 hours. This precise time calculation ensures the controllability and predictability of the charging process. In this way, accurate charging time estimates can be provided to users, while also better managing the resources of the charging station. The slow charging stage can reduce battery stress and heat generation, while the fast charging stage can significantly shorten the overall charging time. This balanced strategy takes into account both the long-term health of the battery and the user's demand for charging efficiency.

[0271] When the fast charging strategy is adopted, the service terminal will query the corresponding second charge amount weight in the weight database according to the battery health. The weight consists of two parts: the fourth weight and the fifth weight, which correspond to the fast charging stage and the slow charging stage respectively. For example, for a battery with a health of 90%, the weight database may give the following weights: the fourth weight is 0.8 and the fifth weight is 0.2, indicating that the charging process will be divided into two stages, with the fast charging stage accounting for 80% of the total charge and the slow charging stage accounting for 20%. This strategy pays more attention to battery protection than the efficient charging strategy, but pays more attention to charging speed than the efficient charging protection strategy. It is suitable for situations where fast charging is required but battery protection can be performed. In this way, a more flexible solution can be provided for charging needs in different scenarios, which can not only meet the user's demand for fast charging, but also protect the battery to a certain extent.

[0272] After determining the weight of the fast charging strategy, the service terminal will calculate the specific charging amount of the two charging stages. The charging amount of the first fast charging stage is equal to the total required power multiplied by the fourth weight, and the charging amount of the second slow charging stage is equal to the total required power multiplied by the fifth weight. The advantage of this charging method is that most of the charging can be completed in a shorter time, and the battery status can be finely adjusted through the final slow charging stage to improve the safety of charging and the service life of the battery. The fast charging stage meets the user's demand for charging speed, while the slow charging stage helps to balance the voltage of each battery unit and reduce battery stress.

[0273] Finally, the service terminal calculates the specific time of the two charging stages under the fast charging strategy. For the first fast charging stage, the system divides the fourth charge amount by the maximum charging power to calculate the time. For the second slow charging stage, the fifth charge amount is divided by the preset slow charging power to calculate the time. For example, assuming that the maximum charging power is 120kW and the preset slow charging power is 7kW, then based on the previous example, the first fast charging time period is 40kWh / 120kW≈0.33 hours (about 20 minutes), and the second slow charging time period is 10kWh / 7kW≈1.43 hours (about 86 minutes). This time calculation method allows users to clearly understand the time allocation of the entire charging process, which helps to better plan the trip. The fast charging stage can replenish a large amount of power to the battery in a short time to meet the user's urgent needs. Although the subsequent slow charging stage takes a long time, it can be carried out during the time period when the user is not in urgent need of the car, such as parking and charging at night. This charging method takes into account both charging efficiency and battery protection to a certain extent. It is a more balanced charging strategy.

[0274] like Figure 2 As shown, the embodiment of the present application also provides a super charging control system, including:

[0275] a service terminal 10;

[0276] At least two super charging posts 20 are connected to the service terminal.

[0277] In this embodiment, the super charging control system is connected to the vehicle 30, and specifically, is connected to the vehicle 30 via a super charging pile.

[0278] The embodiment of the present application also provides a service terminal, including:

[0279] a memory configured to store instructions; and

[0280] The processor is configured to call instructions from the memory and implement the charging control method of the super charging pile according to the above-mentioned method when executing the instructions.

[0281] An embodiment of the present application also provides a machine-readable storage medium, on which instructions are stored, and the instructions are used to enable a machine to execute the above-mentioned super charging pile charging control method.

[0282] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems or computer program products. Therefore, the present application may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0283] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of the processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0284] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1A function specified in one or more boxes.

[0285] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0286] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0287] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0288] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0289] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0290] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included within the scope of the claims of the present application.

Claims

1. A charging control method for a super charging pile, characterized in that: Applied to a super charging control system, the super charging control system includes a service terminal and at least two super charging piles, the method includes: The Supercharger responds to the vehicle's charging signal and sends an initial handshake signal to the vehicle, wherein the charging signal is used to indicate that the vehicle and the Supercharger are physically connected through the vehicle's charging port; In response to receiving a response signal returned by the vehicle, the super charging pile establishes a handshake with the vehicle according to the response signal, and determines the charging protocol and communication protocol of the vehicle according to the response signal; The super charging pile obtains the vehicle information of the vehicle according to the communication protocol and sends the vehicle information to the service terminal, wherein the response signal is generated by the vehicle based on the initial handshake signal. The vehicle information includes battery information and charging parameters. The battery information includes battery usage time, current battery power, battery type and battery temperature. In response to receiving the charging strategy sent by the service terminal, the super charging pile executes the charging strategy to charge the vehicle according to the charging protocol; The charging strategy includes at least one slow charging stage and / or at least one fast charging stage, and each slow charging stage corresponds to a slow charging time period, and each fast charging stage corresponds to a fast charging time period. The charging strategy is determined by the service terminal based on battery information and charging parameters; The steps of determining the charging strategy based on the battery information and charging parameters of the service terminal include: When the battery temperature is within a preset temperature range, determining a corresponding battery health initial model according to the battery type; The battery health model is integrated with the preset battery aging model by adopting the model iteration step to obtain the optimized battery health model. Input the battery usage time into the optimized battery health model to obtain the battery health of the vehicle; Determine the vehicle's charging needs based on the current battery charge and charging parameters; The charging strategy of the vehicle is determined according to the battery health and the charging demand, and the slow charging time period in the slow charging phase and / or the fast charging time period in the fast charging phase in the charging strategy are determined based on the battery health and / or the charging parameters.

2. The method according to claim 1, characterized in that After the vehicle is charged by executing the charging strategy according to the charging protocol, it also includes: The super charging pile obtains the vehicle's charging information in real time and sends the charging information to the service terminal; In response to receiving a charging strategy change instruction from the service terminal, the super charging pile adopts a changed charging strategy to charge the vehicle according to the charging strategy change instruction, wherein the charging strategy change instruction is generated by the service terminal based on charging information received in real time.

3. The method according to claim 1, characterized in that The Supercharger is preloaded with a protocol database. The Supercharger determines the vehicle's charging protocol and communication protocol based on the response signal, including: The super charging pile parses the response signal to obtain an identifier and protocol information, wherein the identifier includes a vehicle model code and a battery type code, and the protocol information includes a charging protocol type; The super charging pile determines the communication protocol between the vehicle and the super charging pile in the protocol database according to the vehicle model code and the battery type code; The Supercharger determines the vehicle's charging protocol based on the charging protocol type.

4. The method according to claim 1, characterized in that The model iteration steps include: The battery health initial model is trained using a preset training set, and the error prediction samples and corresponding sample weights of the battery health initial model after the model training are obtained; Increase the weight of the sample corresponding to the wrong prediction sample in the training set to obtain an updated training set, and use the updated training set to iteratively train the battery aging model, and calculate the prediction error of the battery aging model during each iterative training; Among them, when the prediction error is less than a preset error threshold, the iterative training of the battery aging model is terminated, and when the prediction error is not less than the error threshold, the weights of the samples corresponding to the erroneous prediction samples in the training set are increased in a loop to obtain an updated training set, and the updated training set is used to iteratively train the battery aging model, and the prediction error of the battery aging model during each iterative training is calculated.

5. The method according to claim 1, characterized in that The charging parameters include historical charging data, which include the number of historical charging times, the historical charging amount, the historical charging duration, and the historical target charging amount of each charging. The service terminal determines the charging requirements of the vehicle based on the current battery power and charging parameters, including: The service terminal determines the required power of the vehicle based on the current battery power; and The service terminal calculates the average charging time of all historical charging times in the historical charging data, and uses a preset demand index formula to calculate the demand index according to the average charging time and the required power, wherein the demand index is used to characterize the charging demand of the vehicle; The service terminal determines the required power of the vehicle based on the current battery power, including: If the service terminal receives the target charge amount of the vehicle sent by the Supercharger within the preset time period, the required power of the vehicle is calculated based on the target charge amount and the current battery power, where the target charge amount is obtained by parsing the charging instruction sent by the Supercharger to the vehicle within the preset time period; If the service terminal does not receive the target charge amount of the vehicle sent by the super charging pile within the preset time period, it determines the target charge amount of the vehicle based on historical charging data, and calculates the required power of the vehicle based on the target charge amount and the current battery power.

6. The method according to claim 5, characterized in that The service terminal determines the vehicle's charging strategy based on battery health and charging requirements, including: When the demand index is greater than a preset index threshold and the battery health is greater than a preset health threshold, the service terminal determines that the charging strategy is an efficient charging strategy; When the demand index is greater than a preset index threshold and the battery health is not greater than a preset health threshold, the service terminal determines that the charging strategy is an efficient charging protection strategy; When the demand index is not greater than the preset index threshold, the battery health is greater than the preset health threshold, and the required power is greater than the preset power threshold, the service terminal determines that the charging strategy is a fast charging strategy; When the demand index is not greater than the preset index threshold, the battery health is not greater than the preset health threshold, and the required power is greater than the preset power threshold, the service terminal determines that the charging strategy is an efficient charging protection strategy; When the demand index is not greater than the preset index threshold and the required power is not greater than the preset power threshold, the service terminal determines that the charging strategy is a fast charging strategy; Among them, the efficient charging strategy includes a fast charging stage, the efficient charging protection strategy includes a first slow charging stage, a second fast charging stage and a third slow charging stage, and the fast charging strategy includes a first fast charging stage and a second slow charging stage.

7. The method according to claim 6, characterized in that The charging parameters also include the maximum charging power. The service terminal determines the slow charging time period in the slow charging phase and / or the fast charging time period in the fast charging phase in the charging strategy based on the battery health and / or the charging parameters, including: When the charging strategy is an efficient charging strategy, the service terminal divides the required power by the maximum charging power to obtain a fast charging time period in the fast charging phase; When the charging strategy is an efficient charging protection strategy, the service terminal queries a corresponding first charging amount weight in a preset weight database according to the battery health, wherein the first charging amount weight includes a first weight, a second weight, and a third weight; The service terminal uses the product of the required power and the first weight as the first charging capacity of the first slow charging stage, uses the product of the required power and the second weight as the second charging capacity of the second fast charging stage, and uses the product of the required power and the third weight as the third charging capacity of the third slow charging stage; The service terminal divides the first charge amount by the preset slow charging power to obtain a first slow charging time period of the first slow charging stage, divides the second charge amount by the maximum charging power to obtain a second fast charging time period of the second fast charging stage, and divides the third charge amount by the preset slow charging power to obtain a third slow charging time period of the third slow charging stage; When the charging strategy is a fast charging strategy, the service terminal queries the corresponding second charging amount weight in the weight database according to the battery health, wherein the second charging amount weight includes the fourth weight and the fifth weight; The service terminal uses the product of the required power and the fourth weight as the fourth charging amount in the first fast charging stage, and uses the product of the required power and the fifth weight as the fifth charging amount in the second slow charging stage; The service terminal divides the fourth charging amount by the maximum charging power to obtain a first fast charging time period of the first fast charging stage, and divides the fifth charging amount by the preset slow charging power to obtain a second slow charging time period of the second slow charging stage.

8. A super charging control system, applied to the charging control method of the super charging pile according to any one of claims 1 to 7, characterized in that: include: a service terminal; At least two super charging piles are connected to the service terminal.

9. A service terminal, characterized in that: include: a memory configured to store instructions; as well as A processor is configured to call the instruction from the memory and implement the charging control method of the super charging pile according to any one of claims 1 to 7 when executing the instruction.

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