Vehicle end parameter dynamic adaptation method and system for integrating evcc and bms

Abstract

The application provides a kind of EVCC and BMS integrated vehicle end parameter dynamic adaptation method and system, comprising: detecting the communication link established between vehicle end and charging pile;Determine the first communication protocol currently applicable to charging pile according to communication link;Determine the first BMS parameter template according to the preset BMS parameter template library, the first BMS parameter template is associated with the first communication protocol;The first BMS parameter template is adapted to BMS module, and a plurality of first BMS parameters output by BMS module are obtained;According to the current charging state data and historical charging data of charging pile, a plurality of first BMS parameters are adjusted, and a plurality of second BMS parameters are obtained;Control EVCC module based on communication link to send a plurality of second BMS parameters to charging pile.The application can solve the problem that the BMS parameter output by the vehicle end conforms to the European standard communication protocol but is not adapted to the current performance of the charging pile, which is beneficial to improve the safety and efficiency of vehicle charging.

Description

Technical Field

[0001] This application relates to the field of electric vehicle charging communication technology, and in particular to a method and system for dynamic adaptation of vehicle-side parameters integrating EVCC and BMS. Background Technology

[0002] In the overseas electric vehicle charging sector, vehicle-to-charging station (V2S) communication must adhere to different European standard communication protocols, such as ISO 15118 and DIN 70121. The vehicle then uses pre-stored protocol matching parameter templates to output initial BMS parameters for communication. However, in practice, charging station manufacturers often pre-set implicit BMS parameter rules not included in the protocol, and these implicit BMS parameter rules can dynamically evolve due to performance degradation over time. Existing charging stations suffer from diverse brands, undisclosed implicit BMS parameter rules, and significant challenges in retrofitting older equipment, making it difficult to uniformly address BMS parameter compatibility issues at the charging station level.

[0003] The existing vehicle-side only outputs initial BMS parameters that conform to the communication protocol, without adjusting the BMS parameters for the implicit BMS parameter constraints and real-time charging capabilities of the charging pile. As a result, the output BMS parameters conform to the communication protocol between the vehicle and the charging pile, but are not compatible with the implicit BMS parameter constraints and real-time charging status of the current charging pile, leading to charging anomalies. Summary of the Invention

[0004] This application provides a method and system for dynamic adaptation of vehicle-side parameters integrating EVCC and BMS. Through the EVCC-BMS integrated module, the system sequentially performs operations such as vehicle-to-charging station communication link detection, automatic communication protocol identification, accurate BMS parameter template matching, dynamic adjustment of BMS parameters based on implicit rules and real-time status of the charging station, and parameter transmission. This enables the BMS parameters output by the vehicle to comply with the requirements of public communication protocols and adapt to the implicit constraints formed by the charging station manufacturer's presets and performance degradation without modifying the charging station. This effectively solves the problem of BMS parameter protocol compliance but abnormal charging, significantly improves vehicle-to-charging station compatibility and charging efficiency, and ensures battery charging safety.

[0005] In a first aspect, this application provides a method for dynamic adaptation of vehicle-side parameters integrating EVCC and BMS, applied to an EVCC-BMS integrated module on the vehicle side, wherein the EVCC-BMS integrated module includes an integrated BMS module and an EVCC module; the method includes: A communication link established between the vehicle and the charging pile was detected; The first communication protocol currently applicable to the charging pile is determined based on the communication link, and the first communication protocol includes the ISO15118 protocol and the DIN70121 protocol. The first BMS parameter template is determined according to the preset BMS parameter template library. The first BMS parameter template is associated with the first communication protocol. The BMS parameter template library stores multiple communication protocols between the vehicle and the charging pile and their corresponding multiple BMS parameter templates. The first BMS parameter template is adapted to the BMS module to obtain multiple first BMS parameters output by the BMS module; The multiple first BMS parameters are adjusted based on the current charging status data and historical charging data of the charging pile to obtain multiple second BMS parameters; The EVCC module is controlled to send the multiple second BMS parameters to the charging pile based on the communication link.

[0006] Secondly, embodiments of this application provide a vehicle-side parameter dynamic adaptation system integrating EVCC and BMS, applied to an EVCC-BMS integrated module on the vehicle side. The EVCC-BMS integrated module includes an integrated BMS module and an EVCC module, wherein the EVCC-BMS integrated module is used to perform the steps of implementing the method described in the first aspect above.

[0007] Thirdly, embodiments of this application provide an electronic device including a processor, a memory, and one or more programs, the one or more programs being stored in the memory and configured to be executed by the processor, the programs including instructions for performing the steps in the first aspect of embodiments of this application.

[0008] Fourthly, embodiments of this application provide a computer-readable storage medium having a computer program / instructions stored thereon, which is executed by a processor to implement the steps of the method described in the first aspect above.

[0009] As can be seen from this embodiment, the EVCC-BMS integrated module detects the communication link established between the vehicle and the charging pile; determines the first communication protocol currently applicable to the charging pile based on the communication link, the first communication protocol including the ISO15118 protocol and the DIN70121 protocol; determines the first BMS parameter template based on a preset BMS parameter template library, the first BMS parameter template being associated with the first communication protocol, the BMS parameter template library pre-stores multiple communication protocols between the vehicle and the charging pile and their corresponding multiple BMS parameter templates; adapts the first BMS parameter template to the BMS module to obtain multiple first BMS parameters output by the BMS module; adjusts the multiple first BMS parameters based on the current charging status data and historical charging data of the charging pile to obtain multiple second BMS parameters; and controls the EVCC module to send the multiple second BMS parameters to the charging pile based on the communication link. Thus, compared to existing solutions, this application adjusts the BMS parameters based on the implicit BMS parameter constraint rules at the charging pile end and the real-time charging status, so that the output BMS parameters conform to the European standard communication protocol between the vehicle and the charging pile and can be adapted to the implicit BMS parameter constraint rules and real-time charging status of the current charging pile. This effectively solves the problem of BMS parameter protocol compliance but abnormal charging, greatly improves vehicle-charging pile compatibility and charging efficiency, and ensures battery charging safety. Attached Figure Description

[0010] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0011] Figure 1 This is a system architecture diagram of a vehicle-side parameter dynamic adaptation system integrating EVCC and BMS provided in an embodiment of this application; Figure 2 This is a flowchart illustrating the steps of a method for dynamic adaptation of vehicle-side parameters integrating EVCC and BMS, as provided in an embodiment of this application. Figure 3 This is a flowchart illustrating a method for determining the implicit charging parameters of a charging pile, as provided in an embodiment of this application. Figure 4 This is a schematic diagram of a process for adjusting the first BMS parameters provided in an embodiment of this application; Figure 5 This is a schematic diagram of a scenario for a method for dynamic adaptation of vehicle-side parameters integrating EVCC and BMS provided in an embodiment of this application. Figure 6This is a functional unit block diagram of a vehicle-side parameter dynamic adaptation system integrating EVCC and BMS provided in an embodiment of this application; Figure 7 This is a structural block diagram of an electronic device provided in an embodiment of this application. Detailed Implementation

[0012] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present application.

[0013] The terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or apparatuses.

[0014] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0015] In the embodiments of this application, "and / or" describes the relationship between associated objects, indicating that three relationships can exist. For example, A and / or B can represent the following three situations: A exists alone; A and B exist simultaneously; B exists alone. Among them, A and B can be singular or plural.

[0016] In this embodiment, the symbol " / " can indicate that the preceding and following objects are in an "or" relationship. Alternatively, the symbol " / " can also represent a division sign, i.e., performing a division operation. For example, A / B can mean A divided by B.

[0017] In the embodiments of this application, "at least one item" or its similar expression refers to any combination of these items, including any combination of a single item or a plurality of items. "One or more" means one or more, while "multiple" means two or more. For example, "at least one item" of a, b, or c can represent the following seven cases: a, b, c; a and b; a and c; b and c; a, b, and c. Each of a, b, and c can be an element or a set containing one or more elements.

[0018] In the embodiments of this application, "equal to" can be used with "greater than" and is applicable to technical solutions used when "greater than" is used; it can also be used with "less than" and is applicable to technical solutions used when "less than" is used. When "equal to" is used with "greater than", it is not used with "less than"; when "equal to" is used with "less than", it is not used with "greater than".

[0019] In the overseas electric vehicle charging sector, vehicle-to-charging station (V2S) communication must adhere to different European standard communication protocols, such as ISO 15118 and DIN 70121. The vehicle then uses pre-stored protocol matching parameter templates to output initial BMS parameters for communication. However, in practice, charging station manufacturers often pre-set implicit BMS parameter rules not included in the protocol, and these implicit BMS parameter rules can dynamically evolve due to performance degradation over time. Existing charging stations suffer from diverse brands, undisclosed implicit BMS parameter rules, and significant challenges in retrofitting older equipment, making it difficult to uniformly address BMS parameter compatibility issues at the charging station level.

[0020] The existing vehicle-side only outputs initial BMS parameters that conform to the communication protocol, without adjusting the BMS parameters for the implicit BMS parameter constraints and real-time charging capabilities of the charging pile. As a result, the output BMS parameters conform to the communication protocol between the vehicle and the charging pile, but are not compatible with the implicit BMS parameter constraints and real-time charging status of the current charging pile, leading to charging anomalies.

[0021] To address the aforementioned issues, this application provides a method and system for dynamic adaptation of vehicle-side parameters integrating EVCC and BMS. The embodiments of this application will be described in detail below with reference to the accompanying drawings.

[0022] Please see Figure 1 , Figure 1 This is a system architecture diagram of a vehicle-side parameter dynamic adaptation system integrating EVCC and BMS provided in an embodiment of this application, as shown below. Figure 1As shown, the EVCC and BMS integrated vehicle-side parameter dynamic adaptation system 100 includes a charging pile 110 and an electric vehicle 120. The electric vehicle 120 includes an EVCC-BMS integrated module 121, which includes an integrated BMS module 1211 and an EVCC module 1212. The charging pile 110 and the electric vehicle 120 communicate with each other through a first communication protocol (European standard communication protocol).

[0023] Specifically, the charging pile 110, acting as the external constraint for charging interaction, establishes a communication connection with the vehicle through the "first communication protocol" (European standard protocol, including ISO15118 and DIN70121 protocols); the electric vehicle 120, acting as the execution entity for parameter adaptation, has its internal EVCC-BMS integrated module 121 connected to and coordinating with the integrated BMS module 1211 and EVCC module 1212. This differs from the traditional independent architecture: in the integrated module, the BMS function is responsible for collecting real-time status data such as battery voltage, temperature, and SOH, which is the basic data source for parameter generation; the EVCC function is responsible for establishing the physical communication link and transmitting parameter messages. The integration of the two enables direct data exchange, avoiding transmission delays when deployed independently, and providing support for the real-time dynamic adjustment of parameters.

[0024] The integration technology of BMS module 1211 and EVCC module 1212 achieves direct, low-latency data interaction between the two through hardware-level interface fusion and software-level protocol integration. On the hardware side, the battery status acquisition interface (such as the voltage / temperature sensor interface) of the BMS function and the communication control interface (such as the CAN / PLC link interface) of the EVCC function are integrated onto the same circuit board and directly connected via a high-speed internal bus. This circuit board is equipped with an MCU or MPU, which serves as a shared processor for both the BMS and EVCC. This design can replace the external CAN bus transmission used in traditional independent deployments. On the software side, the communication protocol and data format of the two are unified, allowing the EVCC to directly access battery voltage, temperature, SOH, and other status data acquired by the BMS. Simultaneously, the charging terminal protocol information and charging status data acquired by the EVCC can be synchronized to the BMS in real time. Ultimately, this achieves seamless flow of battery status data, charging terminal constraint data, and parameter adjustment commands, improving the response speed of parameter adaptation and avoiding the data transmission fault tolerance risks associated with independent deployments.

[0025] Furthermore, the integrated BMS module 1211 is equipped with a software control module to realize the control function of the electric vehicle 120, and undertakes the entire process logic of identifying communication protocols, matching BMS parameter templates, exploring implicit rules at the pile end, and executing parameter adjustments.

[0026] As can be seen, in this embodiment, the integrated BMS and EVCC module collaborative architecture enables automatic identification of charging pile protocols, accurate matching and dynamic adjustment of BMS parameter templates. It overcomes the transmission delay problem of traditional independent deployment by leveraging module integration, ensuring real-time parameter adaptation. Furthermore, through software control algorithms, it enables vehicle-side BMS parameters to simultaneously meet protocol requirements, implicit charging pile constraints, and battery safety boundaries without modifying the charging pile. This effectively solves the problem of abnormal charging despite protocol compliance, improving vehicle-charging pile compatibility and charging safety.

[0027] The following is combined with Figure 2 The adaptive matching method between charging piles and electric vehicles provided in the embodiments of this application will be further explained.

[0028] Please see Figure 2 , Figure 2 This is a flowchart illustrating the steps of a method for dynamic adaptation of vehicle-side parameters integrating EVCC and BMS, as provided in an embodiment of this application. The method is applied to... Figure 1 The integrated BMS module 1211 within the EVCC-BMS integrated module 121 contains a software control module, such as... Figure 2 As shown, the method includes the following steps: Step S210: A communication link established between the vehicle and the charging pile is detected.

[0029] The communication link between the vehicle and the charging pile is a PLC communication link built on the CP and PE lines, mainly suitable for interaction scenarios using European standard protocols. This link is the physical carrier for transmitting handshake messages, protocol characteristic information, BMS parameters, and charging status data between the vehicle and the charging pile. In addition, the PP line (proximity guide cable) is also included between the vehicle and the charging pile. This is an indispensable physical layer signal cable in the European standard charging system. Its core function is to form a detection loop with the PE line, determining in real time whether the physical connection between the charging gun and the vehicle's charging dock is in place by observing changes in the preset resistance value in the loop, while also identifying the maximum current-carrying capacity of the charging cable.

[0030] In a specific embodiment, the vehicle-side EVCC function monitors the physical connection status of the charging gun and the charging pile in real time (such as changes in the level signal of the PP line) through its integrated link detection unit, and verifies the connectivity of the data transmission channel. Only when the link is detected to be stably established will the subsequent protocol identification and parameter adaptation process be triggered. If the link is not established or is unstable, the subsequent operation will be suspended to ensure the reliability of the interaction.

[0031] Step S220: Determine the first communication protocol currently applicable to the charging pile based on the communication link. The first communication protocol includes the ISO15118 protocol and the DIN70121 protocol.

[0032] In the overseas electric vehicle charging field, vehicle-to-charging station interaction needs to follow different European standard communication protocols. The ISO15118 protocol and the DIN70121 protocol are the main European standard communication protocols. Both of them conform to the IEC61851-1 control guidance framework and are the core communication specifications of the European Joint Charging System (CCS). The DIN70121 protocol is a transitional DC charging protocol led by Germany, focusing on basic vehicle-to-charging station communication interaction. The ISO15118 protocol is an internationally used advanced standard that covers all AC and DC charging scenarios and also supports advanced functions such as plug-and-charge and bidirectional charging (V2G).

[0033] In one possible embodiment, determining the first communication protocol currently applicable to the charging pile based on the communication link includes: obtaining a first message between the vehicle and the charging pile based on the communication link; extracting multiple protocol features from the first message; comparing the multiple protocol features with a preset protocol feature library to obtain the first communication protocol corresponding to the multiple protocol features, wherein the protocol feature library pre-stores multiple communication protocols supported by the vehicle and multiple protocol features corresponding to each communication protocol.

[0034] The protocol features extracted from the first message include, but are not limited to, the protocol version number, data encoding format, message frame structure, and communication baud rate. These features are the core basis for distinguishing between the ISO15118 protocol and European standard communication protocols such as the DIN70121 protocol (for example, the ISO15118 protocol message contains exclusive fields for advanced functions such as plug-and-charge and bidirectional charging, and the frame structure is more complex; the DIN70121 protocol message focuses on basic DC charging interaction, and the frame format is simpler. The baud rate adaptation range of the two is also significantly different).

[0035] The protocol feature library pre-stores the European standard protocols supported by the vehicle, such as the core protocol feature sets corresponding to the ISO15118 series protocols (including ISO15118-2, ISO15118-20, etc.) and the DIN70121 protocol. These features include key information such as protocol-specific message frame structure, data encoding format, protocol version number identifier, and communication baud rate threshold. During the protocol identification stage, the real-time features extracted from the vehicle-charging pile interaction messages can be compared and matched with the features in the library to accurately determine the first communication protocol currently applicable to the charging pile.

[0036] It should be noted that this application only provides one method for determining the first communication protocol and does not constitute a limitation on the protocol identification method. Other technical paths can also be used to achieve protocol determination, such as directly mapping the protocol type based on the communication link type, or combining the instruction interaction process of the vehicle-to-pile handshake stage for protocol identification. This application does not limit the specific implementation method of protocol identification.

[0037] In one possible embodiment, the communication line between the vehicle and the charging pile includes a CP line and a PE line. The CP line and the PE line are used to establish a PLC communication link between the vehicle and the charging pile. The PLC communication link is compatible with the European standard protocol, which includes the ISO15118 protocol and the DIN70121 protocol.

[0038] It is understandable that PLC (Power Line Communication) is a standard communication method according to the European standard protocol. It transmits data through the CP line (control lead line) and PE line (protective ground line) of the charging gun, without the need for additional communication lines, and has the advantage of simple wiring.

[0039] As can be seen, in this embodiment, the dual protocol identification mechanism of hardware link type assisted determination and accurate matching of message features, and based on the pre-set protocol feature library, enables rapid and accurate determination of different European standard protocols applicable to charging piles, providing a reliable protocol basis for subsequent BMS parameter template matching, and improving the efficiency and accuracy of vehicle-charging pile protocol adaptation.

[0040] Step S230: Determine a first BMS parameter template according to a preset BMS parameter template library. The first BMS parameter template is associated with the first communication protocol. The BMS parameter template library stores multiple communication protocols between the vehicle and the charging pile and their corresponding multiple BMS parameter templates.

[0041] The BMS parameter template library pre-stores various European standard communication protocols supported by the vehicle, as well as BMS parameter templates corresponding to each protocol. Each template contains parameter items that meet the format requirements of the corresponding protocol (such as charging power range, voltage threshold, timing response parameters, etc.). The first BMS parameter template is a parameter template that is retrieved from the template library and is directly associated with the first communication protocol.

[0042] It is understandable that different European standard communication protocols have clear differences in the format, field definition, and value range of BMS parameters. Only by retrieving the corresponding first BMS parameter template based on the identified first communication protocol can we ensure that the subsequently generated BMS parameters meet the requirements of the pile end protocol, avoid vehicle-pile communication failure due to parameter format incompatibility, and provide a standardized initial BMS parameter benchmark for subsequent dynamic parameter adjustment based on the implicit rules and real-time status of the pile end.

[0043] S240, adapt the first BMS parameter template to the BMS module to obtain multiple first BMS parameters output by the BMS module.

[0044] In a specific embodiment, after the first BMS parameter template is sent to the integrated BMS module, the BMS module first retrieves the real-time battery status data it has collected, including core indicators such as the current battery voltage, temperature, remaining charge (SOC), and state of health (SOH). Then, it fills these real data into the corresponding parameter fields of the template. At the same time, based on the built-in battery safety operation boundary algorithm, it verifies whether the value range of the template parameters meets the safety constraints of the current battery. For example, if the upper limit of the charging power in the template exceeds the safe power threshold corresponding to the current battery temperature, the parameters are automatically adjusted to the safe range.

[0045] It is evident that the first BMS parameter ultimately generated by the BMS module is an initial parameter set that meets both the European standard protocol format requirements between the vehicle and the charging pile and matches the actual operating conditions of the current vehicle battery. Its parameter items cover the core content required for vehicle-charging pile interaction, such as charging power, voltage and current thresholds, and timing response requirements. It serves as the benchmark for subsequent parameter optimization based on implicit rules and real-time status at the charging pile end.

[0046] Step S250: Adjust the plurality of first BMS parameters according to the current charging status data and historical charging data of the charging pile to obtain a plurality of second BMS parameters.

[0047] Among them, the current charging status data of the charging pile is the real-time operating parameters of the charging pile collected by the vehicle through the integrated EVCC module, including but not limited to the current output power of the charging pile, real-time voltage and current values, charging pile fault codes, number of idle ports, and grid-side input stability data. These data directly reflect the current operating conditions and load capacity of the charging pile and are the dynamic basis for adjusting the first BMS parameters to adapt to the real-time constraints of the charging pile.

[0048] Among them, the historical charging data of the charging pile is a data set pre-stored in the historical charging database on the vehicle side. It includes the charging interaction records of the charging pile or the same model charging pile with the vehicle or similar models in the past. Specifically, it covers the historical charging power curve, the BMS parameter status when the historical fault was triggered, the BMS parameter combination when the charging efficiency was optimal, etc. This data is the core support for mining the implicit rules and performance degradation laws preset by the charging pile manufacturer, and can guide the adjustment of the first BMS parameters to be more suitable for the long-term operating characteristics of the charging pile.

[0049] In one possible embodiment, adjusting the plurality of first BMS parameters based on the current charging status data and historical charging data of the charging pile to obtain a plurality of second BMS parameters includes: acquiring a plurality of historical charging data between the vehicle and the charging pile, and acquiring the current charging status data of the charging pile based on the communication link; determining implicit charging parameter rules for the charging pile based on the plurality of historical charging data, wherein the implicit charging parameter rules are BMS parameter rules pre-set by the charging pile manufacturer for the charging pile and / or formed by the charging pile itself based on its performance changes during long-term use; determining a plurality of BMS parameter thresholds adapted to the real-time charging capability of the current charging pile based on the charging status data, wherein the plurality of BMS parameter thresholds include a charging power upper limit threshold and a timing response threshold; and adjusting the plurality of first BMS parameters based on the implicit charging parameter rules and the plurality of BMS parameter thresholds to obtain a plurality of second BMS parameters.

[0050] Among them, implicit charging parameter rules are non-public BMS parameter constraints that are pre-set by charging pile manufacturers but not included in the public communication protocol standard, or formed due to performance degradation after long-term use of charging piles. These include hidden charging power limits, timing response thresholds, fault triggering thresholds, etc. These rules cannot be obtained directly through protocol messages and need to be extracted by mining historical charging data. This is one of the core reasons why charging anomalies occur even when the vehicle-side parameter protocol is compliant.

[0051] In a specific embodiment, multiple BMS parameter thresholds adapted to the real-time charging capability of the current charging pile are determined based on the charging status data. The core is based on the current charging status data of the charging pile collected by the vehicle through the communication link (such as real-time output power, voltage and current fluctuation values, pile load rate, grid input stability, etc.). Through analysis and calculation, BMS parameter thresholds that accurately match the current operating capability of the pile are determined. These thresholds cover key indicators such as the upper limit of charging power, current regulation rate, voltage stability range, and timing response delay threshold. This can not only avoid abnormalities such as charging shutdown and power drop caused by parameters exceeding the real-time carrying capacity of the pile, but also maximize charging efficiency within the allowable range of the pile. This provides a real-time and reasonable parameter constraint boundary for subsequent adjustment of the first BMS parameters in combination with the implicit parameter rules of the pile.

[0052] Step S260: Control the EVCC module to send the plurality of second BMS parameters to the charging pile based on the communication link.

[0053] Specifically, the integrated EVCC module acts as a communication intermediary between the vehicle and the charging pile. It accurately sends the second BMS parameters, which have been corrected for anomalies and meet both the implicit charging parameter rules and real-time operating condition thresholds of the charging pile, to the charging pile. As a result, the charging pile can execute matching charging actions based on compliant parameter instructions, thereby avoiding anomalies such as fast charging to slow charging and frequent shutdowns caused by parameter mismatch, and achieving efficient vehicle-charging pile adaptation.

[0054] As can be seen, in this embodiment, the EVCC-BMS integrated module sequentially performs operations such as vehicle-to-charging communication link detection, automatic communication protocol identification, accurate BMS parameter template matching, dynamic adjustment of BMS parameters based on implicit rules and real-time status of the charging pile, and parameter transmission. This enables the BMS parameters output by the vehicle to comply with the requirements of the public communication protocol and adapt to the implicit constraint rules formed by the charging pile manufacturer's preset and performance degradation without modifying the charging pile. This effectively solves the problem of BMS parameter protocol compliance but abnormal charging, greatly improves vehicle-to-charging compatibility and charging efficiency, and ensures battery charging safety.

[0055] Optional, please refer to Figure 3 , Figure 3 This is a flowchart illustrating the rules for determining implicit charging parameters of a charging pile, as provided in an embodiment of this application. Figure 3 As shown, the rule for determining the implicit charging parameters of the charging pile based on the multiple historical charging data specifically includes the following steps: S31. Based on the multiple historical charging data, obtain multiple initial BMS parameters sent by the vehicle in the historical charging scenario, the actual charging data of the charging pile in response to the multiple initial BMS parameters, and environmental data.

[0056] The environmental data includes ambient temperature, ambient humidity, and charging gun temperature.

[0057] Historical charging data can be broken down into three related dimensions: First, the input parameters on the vehicle side, namely the multiple initial BMS parameters sent by the vehicle in historical scenarios, which are the basic variables that trigger the charging pile response; second, the output results on the charging pile side, namely the actual charging data generated by the charging pile in response to these initial parameters, including actual charging power, current and voltage curves, charging start and stop sequence, fault trigger records, etc., which directly reflect the response characteristics of the charging pile to different BMS parameters; and third, external interference factors, namely environmental data such as ambient temperature, ambient humidity, and charging gun temperature, which can affect the actual performance of the charging pile (e.g., the charging pile will automatically reduce its power limit under high temperature).

[0058] S32. Determine the multiple parameter constraints of the charging pile on the multiple initial BMS parameters based on the actual charging data and the environmental data.

[0059] Among them, parameter constraint requirements are quantitative restriction rules for vehicle-side BMS parameters, which clearly define the normal value range and prohibited range of BMS parameters. For example, "the charging power request parameter shall not exceed 40kW under normal temperature conditions". In essence, it is an explicit expression of the implicit rules preset by the charging pile manufacturer or formed by performance degradation. It can directly guide the dynamic adjustment of vehicle-side BMS parameters and avoid abnormal problems such as slow charging and shutdown caused by parameters exceeding the limit.

[0060] In one possible embodiment, determining the multiple parameter constraint requirements of the charging pile on the multiple initial BMS parameters based on the actual charging data and the environmental data includes: identifying multiple abnormal parameter response scenarios based on the actual charging data, the environmental data, and the multiple initial BMS parameters, wherein the actual charging data of the charging pile does not match the charging expectation of the vehicle, and the abnormal parameter response scenarios include scenarios where the vehicle sends a fast charging power demand but the charging pile performs slow charging; for each abnormal parameter response scenario, determining the abnormal triggering condition of the abnormal parameter response scenario based on the environmental data and the multiple initial BMS parameters, wherein the abnormal triggering condition includes the abnormal BMS parameter and its corresponding abnormal parameter range; determining the normal parameter range corresponding to the abnormal BMS parameter based on the abnormal parameter range; and obtaining the parameter constraint requirements corresponding to the abnormal BMS parameter based on the abnormal triggering condition and the normal parameter range, so as to obtain the multiple parameter constraint requirements.

[0061] In a specific embodiment, various abnormal parameter response scenarios are identified. The core is to accurately define the cause type of abnormal scenarios through the coupling analysis of environmental data and BMS parameters: First, the charging expectation (such as fast charging power, current regulation rate) corresponding to the initial BMS parameters sent by the vehicle is compared with the actual charging data (such as actual output power, charging time, start-stop frequency) fed back by the charging pile to screen out candidate scenarios where the expectation does not match the reality; Second, environmental data is introduced as a correlation variable to analyze the impact of the coupling effect of environmental factors and initial BMS parameters on the charging results, clarifying the cause of abnormal scenarios. This identifies both "pure parameter-type anomalies caused solely by BMS parameter overruns" and "coupled anomalies caused by the combined effect of environmental factors and BMS parameters." For example, in a high-temperature environment, when the charging power request parameter exceeds 40kW, the charging pile triggers slow charging. This type of scenario is the result of the combined effect of environment and parameters; Finally, the abnormal scenarios of the two causes are classified and summarized to provide an accurate basis for subsequent differentiated positioning of abnormal trigger conditions and formulation of targeted parameter constraint requirements.

[0062] Furthermore, for each type of abnormal scenario (such as fast charging request but slow charging, or parameters complying but frequent shutdowns), the key abnormal BMS parameters that trigger the abnormality are identified, as well as the abnormal value range of the parameters in the corresponding environment. For example, "when the ambient temperature is ≥35℃ and the charging power request parameter is ≥50kW, slow charging is triggered at the charging pile," where "charging power request parameter" is the abnormal BMS parameter, and "≥50kW" is the corresponding abnormal parameter range. These abnormal triggering conditions are the core basis for the subsequent derivation of parameter constraint requirements.

[0063] For example, suppose that during a historical charging process, the vehicle experienced an abnormal scenario where it sent a 60kW fast charging request but the charging station only responded with a 10kW slow charging. First, based on the environmental data for this scenario (e.g., ambient temperature 25℃, charging gun temperature 30℃, no high temperature or high humidity interference) and the initial BMS parameters (charging power request of 60kW), the triggering condition for this anomaly is determined to be "when the ambient temperature is 20-30℃, the charging power request parameter is in the 50kW-60kW range," where the charging power request is the abnormal BMS parameter, and 50kW-60kW is the corresponding abnormal parameter range. Next, based on this abnormal parameter range, the normal parameter range for this environment is deduced to be ≤40kW. Finally, combining the abnormal triggering condition and the normal parameter range, the corresponding parameter constraint requirement is obtained: "when the ambient temperature is 20-30℃, the charging power request parameter for this charging station must not exceed 40kW; otherwise, an abnormal scenario of fast charging switching to slow charging will be triggered." By repeating the above process for other identified abnormal scenarios (such as charging piles frequently shutting down despite compliant parameters), multiple constraint requirements for different BMS parameters can be obtained.

[0064] S33. Obtain the implicit charging parameter rules of the charging pile according to the multiple parameter constraints.

[0065] Specifically, multiple scattered parameter constraints derived from different abnormal scenarios are integrated, summarized, and refined to form a unified and reusable set of implicit charging parameter rules applicable to the charging pile. These rules are no longer isolated parameter restrictions, but a complete logical set covering environmental conditions, parameter value ranges, and abnormal avoidance requirements, directly providing a clear decision-making basis for the subsequent dynamic adjustment of the first BMS parameters.

[0066] As can be seen, in this embodiment, by structurally decomposing historical data, coupling and attributing abnormal scenarios, and integrating and refining constraint requirements, the implicit charging parameter rules preset by charging pile manufacturers or formed by performance degradation are made explicit and quantified. This not only accurately distinguishes the causes of anomalies through the coupled analysis of environmental data and BMS parameters, but also derives clear parameter constraint requirements based on anomaly triggering conditions. Finally, these are integrated into unified rules that can directly guide the dynamic adjustment of vehicle-side BMS parameters, effectively solving the charging anomaly problem caused by unclear implicit rules in traditional vehicle-charging pile interaction, and improving the accuracy of vehicle-charging pile adaptation and charging efficiency.

[0067] Optional, please refer to Figure 4 , Figure 4 This is a flowchart illustrating the adjustment of first BMS parameters provided in an embodiment of this application, as shown below. Figure 4 As shown, the step of adjusting the multiple first BMS parameters according to the implicit charging parameter rules and the multiple BMS parameter thresholds to obtain multiple second BMS parameters specifically includes the following steps: S41. Based on the implicit charging parameter rules and the multiple BMS parameter thresholds, determine the multiple third BMS parameters that are abnormal among the multiple first BMS parameters.

[0068] Among them, the third BMS parameter is a set of abnormal parameters that are screened from the first BMS parameter and violate the implicit charging parameter rules of the charging pile and / or the real-time BMS parameter threshold. It is the core optimization object for subsequent parameter adjustment.

[0069] In one possible embodiment, determining the multiple third BMS parameters that are abnormal among the multiple first BMS parameters according to the implicit charging parameter rules and the multiple BMS parameter thresholds includes: determining one or more fourth BMS parameters among the multiple first BMS parameters that satisfy the abnormal triggering condition according to the implicit charging parameter rules; determining one or more fifth BMS parameters among the multiple first BMS parameters that exceed the multiple BMS parameter thresholds; and deduplicating and integrating the one or more fourth BMS parameters and the one or more fifth BMS parameters to obtain the multiple third BMS parameters that are abnormal among the multiple first BMS parameters.

[0070] For example, suppose the implicit charging parameter rule of the charging pile is "when the ambient temperature is 20-30℃, a charging power request parameter ≥50kW will trigger a slow charging anomaly". The BMS parameter threshold determined based on the current state of the charging pile is "charging power request upper limit 40kW". The first BMS parameter includes two parameters: charging power request 55kW and charging voltage request 350V. First, according to the implicit rule, the charging power request 55kW meets the anomaly triggering condition and is determined to be the fourth BMS parameter. Second, compared with the real-time threshold, the charging power request 55kW exceeds the upper limit of 40kW and is determined to be the fifth BMS parameter. The charging voltage request 350V does not exceed the limit and therefore has no anomaly. Finally, the fourth and fifth BMS parameters are deduplicated and integrated, and the final third BMS parameter is the abnormal parameter of charging power request 55kW.

[0071] S42. Formulate a BMS parameter adjustment strategy based on the parameter values ​​of the plurality of third BMS parameters, the plurality of normal parameter ranges corresponding to the plurality of third BMS parameters, and / or the plurality of BMS parameter thresholds.

[0072] The BMS parameter adjustment strategy includes vehicle-side configuration control strategy and vehicle-side charging strategy.

[0073] Specifically, the core of formulating BMS parameter adjustment strategies is to differentiate adjustment strategies based on the anomaly type of the third BMS parameter (violation only of the normal parameter range, violation only of the real-time BMS parameter threshold, or violation of both), combined with the current parameter value, the corresponding normal parameter range, and / or the BMS parameter threshold. When the third BMS parameter only violates the normal parameter range, the normal parameter range corresponding to the implicit charging parameter rule is used as the sole adjustment basis, and the parameter value is corrected to within that range. When the third BMS parameter only violates the BMS parameter threshold, the BMS parameter threshold corresponding to the current state of the pile end is used as the sole adjustment basis, and the parameter value is corrected to within the threshold range. When the third BMS parameter violates both, the intersection of the normal parameter range and the BMS parameter threshold is prioritized as the adjustment target (taking the stricter constraint boundary) to ensure that the parameter simultaneously meets the long-term implicit rules and real-time operational capabilities of the pile end.

[0074] Furthermore, the BMS parameter adjustment strategy includes two specific executable strategies: vehicle-side configuration control strategy and vehicle-side charging strategy. The specific strategies at the lower level of the vehicle-side configuration control strategy include adjusting the vehicle-side timer configuration frequency to match the charging pile timing response requirements, correcting abnormal parameter values ​​such as charging power / voltage in fixed steps, locking the upper and lower limits of the adjusted parameters to prevent further boundary violations, and synchronously and collaboratively correcting related parameters (such as matching the current threshold when adjusting power). The specific strategies at the lower level of the vehicle-side charging strategy include gradually increasing the charging power using a stepped power request strategy, adjusting the charging request sending cycle to avoid high-frequency communication congestion, and formulating an emergency current limiting strategy to cope with charging pile power fluctuations. These two types of strategies achieve precise adjustment of the third BMS parameters from the perspectives of parameter configuration optimization and charging execution control.

[0075] For example, the configuration frequency of the vehicle-side charging request timer is adjusted from 10Hz to 5Hz to match the timing response threshold of the charging pile; at the same time, the excessive 55kW charging power request is reduced to the implicit rule-allowed 50kW upper limit in steps of 5kW / time.

[0076] As can be seen, in this embodiment, by distinguishing the three types of abnormalities of the third BMS parameter and formulating different adjustment criteria, and combining the dual-dimensional control of vehicle-side configuration regulation and vehicle-side charging strategy, the abnormal BMS parameter is accurately and efficiently corrected to the compliant range. This ensures that the parameter conforms to the long-term implicit rules and real-time carrying capacity of the charging pile, while avoiding communication fluctuations and power anomalies during the charging process, thereby improving the stability of vehicle-charging pile adaptation and charging efficiency.

[0077] S43. Execute the BMS parameter adjustment strategy to obtain multiple target parameter values ​​corresponding to the multiple third BMS parameters output by the BMS module.

[0078] Wherein, the single target parameter value corresponding to a single third BMS parameter is located within the normal parameter range corresponding to the single third BMS parameter and / or does not exceed the BMS parameter threshold corresponding to the single third BMS parameter.

[0079] S44. Replace the parameter values ​​of the plurality of third BMS parameters in the plurality of first BMS parameters with the corresponding plurality of target parameter values ​​to obtain the plurality of second BMS parameters.

[0080] Specifically, the target parameter value corresponding to the third BMS parameter obtained after adjustment by the BMS parameter adjustment strategy is used to replace the original abnormal parameter value. The first BMS parameter that is not marked as abnormal remains unchanged. Finally, a second BMS parameter set that takes into account both the implicit rules of the pile end and the constraints of real-time working conditions is generated, providing compliant and adaptable parameter input for subsequent vehicle-pile interaction.

[0081] As can be seen, in this embodiment, through a complete closed-loop process of accurate screening of abnormal parameters, formulation of differentiated adjustment strategies, strategy execution and parameter replacement, the third BMS parameter that violates the constraints in the first BMS parameter is first identified based on implicit charging parameter rules and real-time BMS parameter thresholds. Then, the corresponding adjustment basis is matched according to its abnormality type. The parameter correction is completed by combining the dual-dimensional strategies of vehicle-side configuration control and charging execution management. Finally, a compliant second BMS parameter set is generated by replacing abnormal parameters. This effectively solves the problems of low charging efficiency and communication fluctuations caused by parameter mismatch in vehicle-charging pile interaction, and ensures the stability of vehicle-charging pile adaptation and the safety of the charging process.

[0082] Please see Figure 5 , Figure 5 This application provides a schematic diagram of a scenario for a method for dynamic adaptation of vehicle-side parameters integrating EVCC and BMS, as illustrated in the embodiments of this application. Figure 5 As shown, this illustrates the entire collaborative process of dynamically adapting vehicle-side parameters to charging piles. The vehicle-side components include two core parts: the BMS module 1211 and the EVCC module 1212, which are integrated with each other. First, the BMS module 1211 outputs initial first BMS parameters (such as charging power request and voltage threshold). Then, the software control module within the BMS module 1211, based on pre-defined implicit charging pile parameter rules and the current charging status data at the pile, performs anomaly screening and adjustment on the first BMS parameters, identifying abnormal BMS parameters. Subsequently, the BMS module 1211 generates the normal parameter value corresponding to the abnormal BMS parameter. Finally, the software control module within the BMS module 1211 integrates the first BMS parameters and the normal parameter values ​​corresponding to the abnormal BMS parameters to obtain compliant second BMS parameters, which are then transmitted to the EVCC module 1212.

[0083] The EVCC module 1212 acts as a communication intermediary between the vehicle and the charging pile. Through the communication link established by the physical connection of the charging gun, it sends the optimized second BMS parameters to the charging pile in a standardized format. After receiving the parameters, the charging pile can execute the corresponding charging action based on this instruction adapted to its own constraints.

[0084] As can be seen, in this embodiment, the EVCC-BMS integrated module sequentially performs operations such as vehicle-to-charging communication link detection, automatic communication protocol identification, accurate BMS parameter template matching, dynamic adjustment of BMS parameters based on implicit rules and real-time status of the charging pile, and parameter transmission. This enables the BMS parameters output by the vehicle to comply with the requirements of the public communication protocol and adapt to the implicit constraint rules formed by the charging pile manufacturer's preset and performance degradation without modifying the charging pile. This effectively solves the problem of BMS parameter protocol compliance but abnormal charging, greatly improves vehicle-to-charging compatibility and charging efficiency, and ensures battery charging safety.

[0085] Please see Figure 6 , Figure 6 A functional unit block diagram of a vehicle-side parameter dynamic adaptation system integrating EVCC and BMS provided in this application embodiment is shown below. Figure 6 As shown, the vehicle-side parameter dynamic adaptation system 100 integrating EVCC and BMS includes the following units: The detection unit 610 is used to detect the communication link established between the vehicle and the charging pile; The processing unit 620 is configured to: determine a first communication protocol currently applicable to the charging pile based on the communication link, the first communication protocol including ISO15118 protocol and DIN70121 protocol; determine a first BMS parameter template based on a preset BMS parameter template library, the first BMS parameter template being associated with the first communication protocol, the BMS parameter template library pre-storing multiple communication protocols between the vehicle and the charging pile and their corresponding multiple BMS parameter templates; adapt the first BMS parameter template to the BMS module to obtain multiple first BMS parameters output by the BMS module; adjust the multiple first BMS parameters based on the current charging status data and historical charging data of the charging pile to obtain multiple second BMS parameters; and control the EVCC module to send the multiple second BMS parameters to the charging pile based on the communication link.

[0086] In one embodiment, adjusting the plurality of first BMS parameters based on the current charging status data and historical charging data of the charging pile to obtain a plurality of second BMS parameters includes: acquiring a plurality of historical charging data between the vehicle and the charging pile, and acquiring the current charging status data of the charging pile based on the communication link; determining implicit charging parameter rules for the charging pile based on the plurality of historical charging data, wherein the implicit charging parameter rules are BMS parameter rules pre-set by the charging pile manufacturer for the charging pile and / or formed by the charging pile itself based on its performance changes during long-term use; determining a plurality of BMS parameter thresholds adapted to the real-time charging capability of the current charging pile based on the charging status data, wherein the plurality of BMS parameter thresholds include a charging power upper limit threshold and a timing response threshold; and adjusting the plurality of first BMS parameters based on the implicit charging parameter rules and the plurality of BMS parameter thresholds to obtain a plurality of second BMS parameters.

[0087] In one embodiment, determining the implicit charging parameter rules of the charging pile based on the plurality of historical charging data includes: obtaining, based on the plurality of historical charging data, a plurality of initial BMS parameters sent by the vehicle in a historical charging scenario, actual charging data of the charging pile in response to the plurality of initial BMS parameters, and environmental data, wherein the environmental data includes ambient temperature, ambient humidity, and charging gun temperature; determining, based on the actual charging data and the environmental data, a plurality of parameter constraint requirements of the charging pile on the plurality of initial BMS parameters; and obtaining the implicit charging parameter rules of the charging pile based on the plurality of parameter constraint requirements.

[0088] In one embodiment, determining the multiple parameter constraint requirements of the charging pile for the multiple initial BMS parameters based on the actual charging data and the environmental data includes: identifying multiple abnormal parameter response scenarios based on the actual charging data, the environmental data, and the multiple initial BMS parameters, wherein the actual charging data of the charging pile does not match the charging expectation of the vehicle, and the abnormal parameter response scenarios include scenarios where the vehicle sends a fast charging power demand but the charging pile performs slow charging; for each abnormal parameter response scenario, determining the abnormal triggering condition of the abnormal parameter response scenario based on the environmental data and the multiple initial BMS parameters, wherein the abnormal triggering condition includes the abnormal BMS parameter and its corresponding abnormal parameter range; determining the normal parameter range corresponding to the abnormal BMS parameter based on the abnormal parameter range; and obtaining the parameter constraint requirements corresponding to the abnormal BMS parameter based on the abnormal triggering condition and the normal parameter range, to obtain the multiple parameter constraint requirements.

[0089] In one embodiment, adjusting the plurality of first BMS parameters according to the implicit charging parameter rules and the plurality of BMS parameter thresholds to obtain a plurality of second BMS parameters includes: determining a plurality of third BMS parameters that are abnormal among the plurality of first BMS parameters according to the implicit charging parameter rules and the plurality of BMS parameter thresholds; formulating a BMS parameter adjustment strategy based on the parameter values ​​of the plurality of third BMS parameters, a plurality of normal parameter ranges corresponding to the plurality of third BMS parameters, and / or a plurality of BMS parameter thresholds, wherein the BMS parameter adjustment strategy includes a vehicle-side configuration control strategy and a vehicle-side charging strategy; executing the BMS parameter adjustment strategy to obtain a plurality of target parameter values ​​corresponding to the plurality of third BMS parameters output by the BMS module, wherein a single target parameter value corresponding to a single third BMS parameter is located within the normal parameter range corresponding to the single third BMS parameter and / or does not exceed the BMS parameter threshold corresponding to the single third BMS parameter; and replacing the parameter values ​​of the plurality of third BMS parameters in the plurality of first BMS parameters with the corresponding plurality of target parameter values ​​to obtain the plurality of second BMS parameters.

[0090] In one embodiment, determining the multiple third BMS parameters that are abnormal among the multiple first BMS parameters according to the implicit charging parameter rules and the multiple BMS parameter thresholds includes: determining one or more fourth BMS parameters among the multiple first BMS parameters that satisfy the abnormal triggering condition according to the implicit charging parameter rules; determining one or more fifth BMS parameters among the multiple first BMS parameters that exceed the multiple BMS parameter thresholds; and deduplicating and integrating the one or more fourth BMS parameters and the one or more fifth BMS parameters to obtain the multiple third BMS parameters that are abnormal among the multiple first BMS parameters.

[0091] In one embodiment, determining the first communication protocol currently applicable to the charging pile based on the communication link includes: obtaining a first message between the vehicle and the charging pile based on the communication link; extracting multiple protocol features from the first message; comparing the multiple protocol features with a preset protocol feature library to obtain the first communication protocol corresponding to the multiple protocol features, wherein the protocol feature library pre-stores multiple communication protocols supported by the vehicle and multiple protocol features corresponding to each communication protocol.

[0092] In one embodiment, the communication line between the vehicle and the charging pile includes a CP line and a PE line. The CP line and the PE line are used to establish a PLC communication link between the vehicle and the charging pile. The PLC communication link is applicable to the European standard protocol, which includes the ISO15118 protocol and the DIN70121 protocol.

[0093] As can be seen, in this embodiment, the EVCC-BMS integrated module sequentially performs operations such as vehicle-to-charging communication link detection, automatic communication protocol identification, accurate BMS parameter template matching, dynamic adjustment of BMS parameters based on implicit rules and real-time status of the charging pile, and parameter transmission. This enables the BMS parameters output by the vehicle to comply with the requirements of the public communication protocol and adapt to the implicit constraint rules formed by the charging pile manufacturer's preset and performance degradation without modifying the charging pile. This effectively solves the problem of BMS parameter protocol compliance but abnormal charging, greatly improves vehicle-to-charging compatibility and charging efficiency, and ensures battery charging safety.

[0094] Figure 7 This is a structural block diagram of an electronic device provided in an embodiment of this application. This electronic device is used to execute the methods described in the examples above. Figure 7 As shown, the electronic device 700 may include one or more of the following components: a processor 701 and a memory 702 coupled to the processor 701, wherein the memory 702 may store one or more computer programs, which may be configured to implement the methods described in the examples above when executed by one or more processors 701.

[0095] Processor 701 may include one or more processing cores. Processor 701 connects to various parts within the electronic device 700 using various interfaces and lines, and performs various functions and processes data by running or executing instructions, programs, code sets, or instruction sets stored in memory 702, and by calling data stored in memory 702. Optionally, processor 701 may be implemented using at least one hardware form of Digital Signal Processing (DSP), Field-Programmable Gate Array (FPGA), or Programmable Logic Array (PLA). Processor 701 may integrate one or more of a Central Processing Unit (CPU), Graphics Processing Unit (GPU), and modem. It is understood that the aforementioned modem may also not be integrated into processor 701, but may be implemented separately through a communication chip.

[0096] The memory 702 may include random access memory (RAM) or read-only memory (ROM). The memory 702 can be used to store instructions, programs, code, code sets, or instruction sets. The memory 702 may include a program storage area and a data storage area. The program storage area may store instructions for implementing an operating system, instructions for implementing at least one function (such as touch functionality, sound playback functionality, image playback functionality, etc.), and instructions for implementing the various method examples described above. The data storage area may also store data created during the use of the electronic device 700.

[0097] It is understood that the electronic device 700 may include more or fewer structural elements than those shown in the above block diagram, such as a power module, physical buttons, WiFi (Wireless Fidelity) module, speaker, Bluetooth module, sensor, etc., without limitation.

[0098] This application also provides a computer storage medium storing a computer program / instructions thereon, which, when executed by a processor, implements some or all of the steps of any of the methods described in the above method embodiments.

[0099] This application also provides a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any of the methods described in the above method embodiments.

[0100] It should be understood that in the various embodiments of this application, the order of the above-mentioned processes does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0101] In the several embodiments provided in this application, it should be understood that the disclosed methods, apparatuses, and systems can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for example, the division of units is merely a logical functional division, and there may be other division methods in actual implementation; for example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces, and the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0102] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0103] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can be physically comprised separately, or two or more units can be integrated into one unit. The integrated unit described above can be implemented in hardware or in the form of hardware plus software functional units.

[0104] The integrated units implemented as software functional units described above can be stored in a computer-readable storage medium. These software functional units, stored in a storage medium, include several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute partial steps of the methods of the various embodiments of the present invention. The aforementioned storage medium includes: a USB flash drive, a portable hard drive, a magnetic disk, an optical disk, volatile memory, or non-volatile memory. The non-volatile memory can be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. The volatile memory can be random access memory (RAM), which is used as an external cache. By way of example, but not limitation, many forms of random access memory (RAM) are available, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate synchronous DRAM (DDRSDRAM), enhanced synchronous DRAM (ESDRAM), synchronous link DRAM (SLDRAM), and direct rambus RAM (DRRAM), etc., which are various media capable of storing program code.

[0105] While the present invention has been disclosed above, it is not limited thereto. Any person skilled in the art can easily conceive of variations or substitutions without departing from the spirit and scope of the present invention, and various modifications and alterations can be made, including combinations of the different functions and implementation steps described above, as well as software and hardware implementation methods, all of which are within the protection scope of the present invention.

Claims

1. A method for dynamic adaptation of vehicle-side parameters integrating EVCC and BMS, characterized in that, An integrated EVCC-BMS module for vehicle applications, comprising an integrated BMS module and an EVCC module; the method includes: A communication link established between the vehicle and the charging pile was detected; The first communication protocol currently applicable to the charging pile is determined based on the communication link, and the first communication protocol includes the ISO15118 protocol and the DIN70121 protocol. The first BMS parameter template is determined according to the preset BMS parameter template library. The first BMS parameter template is associated with the first communication protocol. The BMS parameter template library stores multiple communication protocols between the vehicle and the charging pile and their corresponding multiple BMS parameter templates. The first BMS parameter template is adapted to the BMS module to obtain multiple first BMS parameters output by the BMS module; The multiple first BMS parameters are adjusted based on the current charging status data and historical charging data of the charging pile to obtain multiple second BMS parameters; The EVCC module is controlled to send the plurality of second BMS parameters to the charging pile based on the communication link; wherein, The process involves adjusting the plurality of first BMS parameters based on the current charging status data and historical charging data of the charging pile to obtain a plurality of second BMS parameters, including: The system acquires multiple historical charging data points between the vehicle and the charging pile, and acquires the current charging status data of the charging pile based on the communication link. The implicit charging parameter rules of the charging pile are determined based on the multiple historical charging data. The implicit charging parameter rules are the BMS parameter rules that the charging pile manufacturer has set in advance for the charging pile and / or that the charging pile has formed based on its own performance changes during long-term use. Based on the charging status data, multiple BMS parameter thresholds are determined to adapt to the real-time charging capability of the current charging pile. The multiple BMS parameter thresholds include a charging power upper limit threshold and a timing response threshold. The multiple first BMS parameters are adjusted according to the implicit charging parameter rules and the multiple BMS parameter thresholds to obtain multiple second BMS parameters.

2. The method according to claim 1, characterized in that, The rule for determining the implicit charging parameters of the charging pile based on the multiple historical charging data includes: Based on the multiple historical charging data, we obtain multiple initial BMS parameters sent by the vehicle in the historical charging scenario, the actual charging data of the charging pile in response to the multiple initial BMS parameters, and environmental data, including ambient temperature, ambient humidity, and charging gun temperature. Based on the actual charging data and the environmental data, determine the multiple parameter constraints of the charging pile on the multiple initial BMS parameters; The implicit charging parameter rules of the charging pile are obtained based on the constraints of the multiple parameters.

3. The method according to claim 2, characterized in that, The step of determining the multiple parameter constraints of the charging pile on the multiple initial BMS parameters based on the actual charging data and the environmental data includes: Based on the actual charging data, the environmental data, and the multiple initial BMS parameters, various abnormal parameter response scenarios are identified. In the abnormal parameter response scenarios, the actual charging data of the charging pile does not match the charging expectation of the vehicle. The abnormal parameter response scenarios include the scenario where the vehicle sends a fast charging power demand but the charging pile performs slow charging. For each abnormal parameter response scenario, an abnormal triggering condition is determined based on the environmental data and the plurality of initial BMS parameters. The abnormal triggering condition includes the abnormal BMS parameter and its corresponding abnormal parameter range; and... Determine the normal parameter range corresponding to the abnormal BMS parameter based on the abnormal parameter range; and... Based on the abnormal triggering conditions and the normal parameter range, the parameter constraint requirements corresponding to the abnormal BMS parameters are obtained, so as to obtain the multiple parameter constraint requirements.

4. The method according to claim 3, characterized in that, The step of adjusting the plurality of first BMS parameters according to the implicit charging parameter rules and the plurality of BMS parameter thresholds to obtain a plurality of second BMS parameters includes: Based on the implicit charging parameter rules and the multiple BMS parameter thresholds, multiple third BMS parameters that are abnormal among the multiple first BMS parameters are determined; A BMS parameter adjustment strategy is formulated based on the parameter values ​​of the plurality of third BMS parameters, the plurality of normal parameter ranges corresponding to the plurality of third BMS parameters, and / or the plurality of BMS parameter thresholds. The BMS parameter adjustment strategy includes a vehicle-side configuration control strategy and a vehicle-side charging strategy. The BMS parameter adjustment strategy is executed to obtain multiple target parameter values ​​corresponding to the multiple third BMS parameters output by the BMS module. The single target parameter value corresponding to a single third BMS parameter is located within the normal parameter range corresponding to the single third BMS parameter and / or does not exceed the BMS parameter threshold corresponding to the single third BMS parameter. The parameter values ​​of the plurality of third BMS parameters in the plurality of first BMS parameters are replaced with the corresponding plurality of target parameter values ​​to obtain the plurality of second BMS parameters.

5. The method according to claim 4, characterized in that, The step of determining multiple third BMS parameters that are abnormal among the multiple first BMS parameters according to the implicit charging parameter rules and the multiple BMS parameter thresholds includes: Based on the implicit charging parameter rules, determine one or more fourth BMS parameters among the plurality of first BMS parameters that satisfy the abnormal triggering condition; Determine one or more fifth BMS parameters that exceed the threshold of the plurality of first BMS parameters; The one or more fourth BMS parameters and the one or more fifth BMS parameters are deduplicated and integrated to obtain a number of third BMS parameters that are abnormal among the multiple first BMS parameters.

6. The method according to claim 1, characterized in that, The step of determining the first communication protocol currently applicable to the charging pile based on the communication link includes: The first message between the vehicle and the charging pile is obtained according to the communication link; Multiple protocol features were extracted from the first message; The first communication protocol corresponding to the multiple protocol features is obtained by comparing the multiple protocol features with a preset protocol feature library. The protocol feature library stores multiple communication protocols supported by the vehicle and multiple protocol features corresponding to each communication protocol in advance.

7. The method according to claim 6, characterized in that, The communication line between the vehicle and the charging pile includes a CP line and a PE line. The CP line and the PE line are used to establish a PLC communication link between the vehicle and the charging pile. The PLC communication link is compatible with European standard protocols, including ISO15118 and DIN70121 protocols.

8. A vehicle-side parameter dynamic adaptation system integrating EVCC and BMS, characterized in that, An EVCC-BMS integrated module for use in vehicles, the EVCC-BMS integrated module comprising an integrated BMS module and an EVCC module, wherein the EVCC-BMS integrated module is used to perform the steps in the method as described in any one of claims 1-7.

9. A computer-readable storage medium having a computer program / instructions stored thereon, characterized in that, The computer program / instructions are executed by the processor to implement the steps of the method according to any one of claims 1-7.

Images