Charging detection method, device and equipment

Abstract

The invention discloses a charging detection method, device and equipment, and the method comprises the steps: obtaining the charging state information, charging constraint information and battery management data of a target vehicle in a charging process; performing multi-dimensional charging health detection according to the charging state information and the charging constraint information, and determining a rationality index and a voltage over-limit state of the target vehicle in a charging process; battery abnormal information of the target vehicle in the charging process is determined according to the battery management data; and determining a charging detection result of the target vehicle according to the rationality index, the voltage over-limit state and the battery abnormal information. Through the above mode, in combination with all related information of the vehicle in the single charging process, rationality judgment is performed on the battery health, so that the charging detection result of the vehicle in the single charging process is obtained, and the battery health condition of the vehicle can be efficiently and rapidly predicted; and the limitation that local equipment cannot comprehensively evaluate the health condition of the battery is made up.

Description

Technical Field

[0001] The present application relates to the technical field of charging detection, and particularly to a charging detection method, device, and equipment. Background Art

[0002] At present, electric vehicles mainly adopt two charging methods: AC charging and DC charging. Among them, AC charging converts AC to DC through an in-vehicle rectification module. However, due to the power and volume limitations of the in-vehicle module, the charging current is small, and the impact on battery aging and safety hazards is relatively small. DC charging directly outputs a large current DC through a high-power conversion module built into the charging pile, significantly improving the charging efficiency. However, due to the large current load and intense heat generation, it also exacerbates aging and safety problems such as lithium plating and thermal runaway of the battery. The existing technology mainly relies on the cloud platform to retrospectively analyze the vehicle's historical big data for predicting the battery health during the charging process. However, the data interaction between the DC charging pile itself and the vehicle is limited, and the industry has not yet formed a unified dynamic evaluation standard for charging safety, making it difficult to conduct a comprehensive safety analysis.

[0003] The above content is only used to assist in understanding the technical solution of the present application, and does not represent an admission that the above content is prior art. Summary of the Invention

[0004] The main purpose of the present application is to provide a charging detection method, device, and equipment, aiming to solve the technical problem that the current DC charging pile cannot conduct a comprehensive charging safety analysis on a single charging process.

[0005] To achieve the above object, the present application proposes a charging detection method, and the method includes:

[0006] Obtain the charging status information, charging constraint information, and battery management data of the target vehicle during the charging process;

[0007] Conduct multi-dimensional charging health detection based on the charging status information and the charging constraint information to determine the rationality index and voltage overlimit status of the target vehicle during the charging process;

[0008] Determine the battery abnormality information of the target vehicle during the charging process according to the battery management data;

[0009] Determine the charging detection result of the target vehicle according to the rationality index, the voltage overlimit status, and the battery abnormality information.

[0010] In one embodiment, the charging status information includes the total charging power, state of charge of the battery, state of charge of the whole vehicle, voltage of the target single battery, and voltage of the charging interface;

[0011] The step of performing multi-dimensional charging health detection based on the charging status information and the charging constraint information to determine the rationality index and the voltage overlimit status of the target vehicle during charging includes:

[0012] Perform power rationality calculation based on the total charging power, state of charge of the battery, state of charge of the whole vehicle, and the nominal total energy of the battery in the charging constraint information to determine the power rationality index of the target vehicle during charging;

[0013] Perform voltage rationality calculation based on the voltage of the target single battery, the charging interface voltage, and the charging constraint information to determine the voltage rationality index of the target vehicle during charging;

[0014] Perform status judgment based on the voltage of the target single battery, the charging interface voltage, and the charging constraint information to determine the voltage overlimit status of the target vehicle during charging.

[0015] In one embodiment, the charging constraint information includes the rated total voltage of the battery and the rated voltage data;

[0016] The step of performing voltage rationality calculation based on the voltage of the target single battery, the charging interface voltage, and the charging constraint information to determine the voltage rationality index of the target vehicle during charging includes:

[0017] Perform string number calculation based on the rated total voltage of the battery and the rated voltage data to determine the number of single battery strings;

[0018] Perform voltage rationality calculation based on the number of single battery strings, the voltage of the target single battery, and the charging interface voltage to determine the voltage rationality index of the target vehicle during charging.

[0019] In one embodiment, the charging constraint information further includes a first charging constraint voltage, a second charging constraint voltage, and a charging cut-off voltage;

[0020] The step of performing status judgment based on the voltage of the target single battery, the charging interface voltage, and the charging constraint information to determine the voltage overlimit status of the target vehicle during charging includes:

[0021] Compare the voltage of the target single battery with the first charging constraint voltage, and determine the first charging status according to the first comparison result;

[0022] Compare the voltage of the target single battery with the charging cut-off voltage, and determine the second charging status according to the second comparison result;

[0023] Compare the charging interface voltage with the second charging constraint voltage, and determine a third charging state according to a third comparison result;

[0024] Determine the voltage overlimit state of the target vehicle during charging according to the first charging state, the second charging state, and the third charging state.

[0025] In one embodiment, the step of determining the battery anomaly information of the target vehicle during charging according to the battery management data includes:

[0026] Extract features from the battery management data to determine target parameter values corresponding to each charging parameter;

[0027] Perform data analysis based on the target parameter values corresponding to each charging parameter and the preset parameter ranges corresponding to each charging parameter, and determine the battery anomaly information of the target vehicle during charging according to the analysis result.

[0028] In one embodiment, the step of determining the charging detection result of the target vehicle according to the rationality index, the voltage overlimit state, and the battery anomaly information includes:

[0029] Compare the power rationality index in the rationality index with a power index threshold to obtain a fourth comparison result;

[0030] Compare the voltage rationality index in the rationality index with a voltage index threshold to obtain a fifth comparison result;

[0031] Determine a charging anomaly index of the target vehicle during charging according to the fourth comparison result, the fifth comparison result, the voltage overlimit state, and the battery anomaly information;

[0032] Generate a charging detection result of the target vehicle according to the charging anomaly index.

[0033] In one embodiment, before the step of obtaining the charging state information, charging constraint information, and battery management data of the target vehicle during charging, it further includes:

[0034] Obtain the connection method of the battery pack on the target vehicle and the battery material type of the battery pack;

[0035] Determine the charging constraint information according to the connection method and the battery material type.

[0036] In addition, to achieve the above object, the present application also proposes a charging detection device, where the charging detection device includes: an acquisition module, configured to acquire charging state information, charging constraint information, and battery management data of a target vehicle during charging;

[0037] A detection module, configured to perform multi-dimensional charging health detection according to the charging status information and the charging constraint information, and determine a rationality index and a voltage overlimit status of the target vehicle during charging;

[0038] A processing module, configured to determine battery abnormality information of the target vehicle during charging according to the battery management data;

[0039] The processing module is further configured to determine a charging detection result of the target vehicle according to the rationality index, the voltage overlimit status, and the battery abnormality information.

[0040] In addition, to achieve the above object, the present application further provides a charging detection device, including: a memory, a processor, and a computer program stored on the memory and executable on the processor, where the computer program is configured to implement the steps of the charging detection method as described above.

[0041] In addition, to achieve the above object, the present application further provides a charging device, including: a memory, a processor, and a charging detection program stored on the memory and executable on the processor, where the charging detection program is configured to implement the steps of the charging detection method as described above.

[0042] In addition, to achieve the above object, the present application further provides a computer program product, including a computer program, where the computer program, when executed by a processor, implements the steps of the charging detection method as described above.

[0043] The present application provides a charging detection method. The present application obtains charging status information, charging constraint information, and battery management data of a target vehicle during charging; performs multi-dimensional charging health detection according to the charging status information and the charging constraint information to determine a rationality index and a voltage overlimit status of the target vehicle during charging; determines battery abnormality information of the target vehicle during charging according to the battery management data; and determines a charging detection result of the target vehicle according to the rationality index, the voltage overlimit status, and the battery abnormality information. By the above method, combining all relevant information of the vehicle during a single charging process, a rationality judgment on the battery health is made, so as to obtain the charging detection result of the vehicle during a single charging, which can efficiently and quickly predict the battery health condition of the vehicle, make up for the limitation that the local device cannot comprehensively evaluate the battery health condition, and enable the vehicle owner and maintenance personnel to more timely understand the battery status and take corresponding measures. It can not only improve the efficiency of battery management, but also extend the battery service life and improve driving safety. Description of the Drawings

[0044] The accompanying drawings here are incorporated into the specification and form a part of this specification, showing embodiments consistent with this application, and are used together with the specification to explain the principles of this application.

[0045] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the following will briefly introduce the accompanying drawings required for use in the description of the embodiments or the prior art. Obviously, for those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0046] Figure 1 It is a schematic flowchart provided for the first embodiment of the charging detection method of this application;

[0047] Figure 2 It is a schematic flowchart provided for the second embodiment of the charging detection method of this application;

[0048] Figure 3 It is a schematic flowchart provided for the third embodiment of the charging detection method of this application;

[0049] Figure 4 It is a schematic diagram of the module structure of the charging detection device in the embodiment of this application;

[0050] Figure 5 It is a schematic diagram of the device structure of the hardware operating environment involved in the charging detection method in the embodiment of this application.

[0051] The realization of the purpose, functional features, and advantages of this application will be further described with reference to the embodiments and the accompanying drawings. Specific Embodiments

[0052] It should be understood that the specific embodiments described here are only used to explain the technical solutions of this application and are not used to limit this application.

[0053] To better understand the technical solutions of this application, the following will be described in detail in combination with the specification drawings and specific embodiments.

[0054] The main solution of the embodiment of this application is: obtaining the charging status information, charging constraint information, and battery management data of the target vehicle during charging; performing multi-dimensional charging health detection based on the charging status information and the charging constraint information to determine the rationality index and voltage overlimit status of the target vehicle during charging; determining the battery abnormality information of the target vehicle during charging according to the battery management data; and determining the charging detection result of the target vehicle according to the rationality index, the voltage overlimit status, and the battery abnormality information.

[0055] In the case of AC charging, the unit responsible for converting AC to DC is integrated inside the vehicle, and its volume and power are not very large. Therefore, the power of AC charging piles is generally not large. For situations where the charging current is not large, the aging and safety hazards of the battery caused by charging are also relatively small. In DC charging, the unit responsible for converting AC to DC is inside the charging pile. During the charging process, the DC charging pile directly outputs DC power to the vehicle (except that in some vehicles, a small amount of power will be supplied to in-vehicle power supply devices such as air conditioners or heaters, and most or all of the power will be directly supplied to the battery). The charging current is generally relatively large. In the case of high-current charging, the aging and safety hazards of the battery itself are also relatively large.

[0056] With the popularization of electric vehicles, the application of public fast-charging stations is increasing. In the early years, due to the rapid development of the entire industry, the quality of the battery itself could not meet the current standards, and the battery management strategy was not perfect. Therefore, with the increase in charging power, charging safety has become particularly important. However, currently in the entire industry, there is no unified industry standard for battery charging safety. The current charging detection technologies all use cloud platforms to analyze the large historical charging data of individual vehicles to judge the battery health in charging safety. Since the DC charging pile obtains limited information from the vehicle, there is also a lack of sufficient analysis data for predicting and judging charging safety.

[0057] This application combines all relevant information during a single charging process of the vehicle to make a reasonable judgment on the battery health, thereby obtaining the charging detection result when the vehicle is charged once. It can efficiently and quickly predict the battery health status of the vehicle, making up for the limitation that local devices cannot comprehensively evaluate the battery health status, enabling vehicle owners and maintenance personnel to more timely understand the battery status and take corresponding measures. It can not only improve the efficiency of battery management, but also extend the battery life and enhance driving safety.

[0058] It should be noted that the execution subject of this embodiment can be a computing service device with data processing, network communication, and program running functions, such as a tablet computer, a personal computer, a mobile phone, etc., or an electronic device or a charging detection device that can implement the above functions. Hereinafter, taking the charging detection device as an example, this embodiment and the following embodiments will be described.

[0059] Based on this, the embodiment of this application provides a charging detection method, referring to Figure 1 , Figure 1 is a schematic flowchart of the first embodiment of the charging detection method of this application.

[0060] In this embodiment, the charging detection method includes steps S10 to S40:

[0061] Step S10, obtain the charging status information, charging constraint information, and battery management data of the target vehicle during the charging process.

[0062] It should be noted that the execution entity of this embodiment is a charging detection device. The charging detection device can be a physical device integrated in a DC charging pile, or the DC charging pile can be directly used as the charging detection device.

[0063] It can be understood that the battery pack in an electric vehicle is composed of hundreds or thousands of single cells connected in series and parallel. During the charging process of the battery pack of the target vehicle, seemingly the entire battery pack is charged, but in fact, the charging current is divided into many different circuits in the battery pack to charge all the single cells. To ensure the balance of the single cells (i.e., the consistency of the voltages of all single cells), the passive balance method of consuming excess electric energy by connecting a parallel resistor to each single cell is mostly used.

[0064] In a specific implementation, in the BMS (Battery Management System) of the vehicle power battery, the calculation of SOC (State of Charge), SOP (State of Power), and SOH (State of Health) is an essential part. Through the calculation of these three indicators, the battery management system can indicate the real-time charge state, real-time power state, and real-time health state of the battery. The BMS system is a controller in the battery pack that is used to obtain information such as the voltages and temperatures of all single cells from the lower-level controller, calculate battery state indicators, perform protection, and calculate charging requirements, etc.

[0065] It should be noted that the current materials of power batteries mainly include ternary lithium, lithium iron phosphate, etc. The materials themselves have the characteristics of rated voltage and maximum voltage. Based on the characteristics of the battery, a preliminary judgment on the battery health can be made from a rational perspective during a single charging process, especially for the single charging process of SOC from ≥25% to 100%. The above judgment is mainly for the situation of excessive deviation, generally when the battery is severely aged. For a healthy battery: during the charging process of SOC from ≥25% to 100%, most or all of its electric energy should enter the battery, rather than being consumed in the balance resistor, battery charging heat generation, etc. Therefore, in this embodiment, it is necessary to obtain the charging status information, charging constraint information, and battery management data of the target vehicle during the charging process to make a predictive judgment on battery health from multiple dimensions.

[0066] It can be understood that the target vehicle refers to an electric vehicle that completes a single charging process with the SOC ranging from ≥25% to 100%. The charging status information refers to the real-time voltage and real-time SOC-related data of the battery and the vehicle during the charging process, including but not limited to the current state of charge (SOC) of the entire vehicle, the current voltage measurement value of the vehicle interface, the real-time voltage measurement value of the vehicle interface, the current highest single battery voltage, the real-time state of charge (SOC) of the battery pack, and the total charging power of a single charge.

[0067] In a specific implementation, the charging constraint information refers to a series of restrictive conditions that need to be observed during the charging process of the battery, including but not limited to the battery rated capacity, the battery rated total voltage, the highest allowable charging voltage of a single battery, the nominal total energy of the power battery, the highest allowable total charging voltage, the rated voltage data, and the charging cut-off voltage. The battery management data refers to a series of key parameter information collected, monitored, and managed by the BMS system during the operation of the battery, including but not limited to the voltages, temperatures, balance states, states of charge, health states, and power states of all single batteries. The charging status information and the charging constraint information are obtained by the charging detection device from the BMS systems of the battery pack and the vehicle, and the battery management data is actively reported by the BMS to the charging detection device.

[0068] In this embodiment, for ease of understanding, the specific sources of each parameter are now described through Table 1, and Table 1 does not limit the specific parameters it contains. Among them, BRM is (Battery Remote Monitoring); BCP is (Battery Charging Profile); BCS is (Battery Charge Status).

[0069] Table 1

[0070] Serial number Information name Information unit Information accuracy Information source 1 Rated battery capacity Ah 0.1 BRM 2 Rated total battery voltage V 0.1 BRM 3 Highest allowable charging voltage of a single battery V 0.01 BCP 4 Nominal total energy of the power battery kWh 0.1 BCP 5 Highest allowable total charging voltage V 0.1 BCP 6 Current state of charge (SOC) of the whole vehicle ％ 0.1 BCP 7 Measured value of the current voltage of the vehicle interface V 0.1 BCP 8 Measured value of the real-time voltage of the vehicle interface V 0.1 BCS 9 Current highest voltage of a single battery V 0.01 BCS 10 Real-time state of charge (SOC) of the battery ％ 1 BCS 11 Battery management data BMS

[0071] It should be noted that the charging process refers to the process in which the SOC of the target vehicle changes from the percentage of the electric quantity within a preset range to 100%. The percentage of the electric quantity within the preset range can be set according to requirements, for example, [0, 40%]. The above is only an example, and this embodiment does not limit this.

[0072] It can be understood that the charging status information and the charging constraint information can be obtained by the charging detection device from the BMS system and the electricity meter. The battery management data is actively reported by the BMS system to the charging detection device, and the electricity meter corresponds to the DC charging pile that charges the target vehicle.

[0073] In a feasible implementation manner, before step S10, steps A11 to A12 may further be included:

[0074] Step A11: Obtain the connection method of the battery pack on the target vehicle and the battery material type of the battery pack.

[0075] It should be noted that since there are many single cells in the battery pack, the connection methods between the single cells include series connection, parallel connection or a combination of both. Different connection methods determine the voltage level and capacity of the entire battery pack. Therefore, obtain the connection structure between the single cells inside the battery pack on the target vehicle to obtain the connection method of the battery pack.

[0076] It can be understood that the battery material type of the battery pack refers to the electrode material type used in the single cells that make up the battery pack. The electrode material types include but are not limited to lithium-ion, lithium iron phosphate, and nickel cobalt aluminum ternary materials, etc. Different material types have different characteristics, such as energy density, power density, cycle life, and safety.

[0077] Step A12: Determine the charging constraint information according to the connection method and the battery material type.

[0078] It should be noted that different connection methods and battery material types correspond to different limiting conditions. Determine a series of limiting conditions corresponding to the battery pack through the connection method and battery material type of the battery pack to ensure the safety and efficiency of the charging process, thereby obtaining the charging constraint information. For example, the rated voltage data of lithium iron phosphate batteries is 3.2 VDC, and the charging cut-off voltage is 3.6 VDC - 3.65 VDC; while the rated voltage of ternary lithium batteries is 3.7 VDC, and the charging cut-off voltage is 4.2 VDC.

[0079] Step S20, perform multi-dimensional charging health detection according to the charging status information and the charging constraint information, and determine the rationality index and voltage overlimit status of the target vehicle during the charging process.

[0080] It should be noted that by combining the charging status information and the charging constraint information, charging health detection can be performed including but not limited to the following aspects: charging power rationality, total battery voltage rationality, and whether the voltage exceeds the limit. In this embodiment, the rationality index includes but is not limited to the power rationality index corresponding to the charging power rationality and the voltage rationality index corresponding to the total battery voltage rationality; the voltage overlimit status is used to reflect the status of whether the voltage of the single cell exceeds the limit and whether the total voltage of the battery pack exceeds the limit during the charging process.

[0081] Step S30, determine the battery abnormality information of the target vehicle during the charging process according to the battery management data.

[0082] It should be noted that the battery management data reported by the BMS system is extracted, and in combination with the national standard GB / T 27930 "Communication Protocol between Off-vehicle Conductive Charger and Battery Management System for Electric Vehicles", the corresponding relationship between the data in the battery management data and the definitions in the national standard is determined, and it is analyzed to determine whether there are outliers in the battery management data, so as to obtain the battery anomaly information of the target vehicle during the charging process. In this embodiment, the battery anomaly information is used to reflect whether there are outliers in the battery management data and the specific anomaly parameters when there are outliers.

[0083] In a feasible implementation manner, step S30 may include steps B11 to B12:

[0084] Step B11: Extract features from the battery management data to determine the target parameter values corresponding to each charging parameter.

[0085] It should be noted that key characteristics or indicators are identified from the battery management data reported by the BMS system, so as to obtain various charging parameters affecting the battery charging process and the target parameter values corresponding to each charging parameter, such as current intensity, temperature, etc.

[0086] Step B12: Perform data analysis based on the target parameter values corresponding to each charging parameter and the preset parameter ranges corresponding to each charging parameter, and determine the battery anomaly information of the target vehicle during the charging process according to the analysis results.

[0087] It should be noted that the preset parameter ranges corresponding to each charging parameter are determined according to the national standard "Communication Protocol between Off-vehicle Conductive Charger and Battery Management System for Electric Vehicles". The preset parameter ranges are the safe operation intervals corresponding to each charging parameter, and parameter values outside this range may indicate potential problems or risks.

[0088] It can be understood that the target parameter values corresponding to each charging parameter are compared with their corresponding preset parameter ranges to evaluate whether abnormal situations occur, and according to the evaluation results, it is determined whether there are outliers in the target vehicle during the charging process and the specific anomaly parameters when there are anomalies, and finally the battery anomaly information is obtained.

[0089] Step S40: Determine the charging detection result of the target vehicle according to the rationality index, the voltage overlimit state, and the battery anomaly information.

[0090] It should be noted that the rationality index, voltage over-limit status, and battery anomaly information are summarized to obtain the charging detection result corresponding to the target vehicle during a single charging process. The charging detection device will directly display the charging detection result through its own display interface; or send the charging detection result to the management personnel corresponding to the target vehicle. The charging detection result provides a basis for battery health judgment from four dimensions: rationality of charging power, rationality of total battery voltage, whether the voltage is over-limit, and whether there is a battery anomaly in the data reported by the BMS system. The management personnel can judge the battery health of the vehicle based on the charging detection result, and summarize the charging detection results corresponding to all single charging processes, and further judge the health status of their own vehicle through the data trend of charging.

[0091] This embodiment provides a charging detection method. In this embodiment, the charging status information, charging constraint information, and battery management data of the target vehicle during charging are obtained; multi-dimensional charging health detection is performed according to the charging status information and the charging constraint information to determine the rationality index and voltage over-limit status of the target vehicle during charging; the battery anomaly information of the target vehicle during charging is determined according to the battery management data; the charging detection result of the target vehicle is determined according to the rationality index, the voltage over-limit status, and the battery anomaly information. By the above method, combining all relevant information of the vehicle during a single charging process, a rational judgment on the battery health is made, so as to obtain the charging detection result of the vehicle during a single charging, which can efficiently and quickly predict the battery health of the vehicle, make up for the limitation that the local device cannot comprehensively evaluate the battery health status, and enable the vehicle owner and maintenance personnel to more timely understand the battery status and take corresponding measures. It can not only improve the efficiency of battery management, but also extend the battery service life and enhance driving safety.

[0092] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar content as that in the above-mentioned first embodiment can be referred to the above introduction and will not be repeated hereinafter. On this basis, please refer to Figure 2 , in this embodiment, the charging status information includes the total charging power, state of charge of the battery, state of charge of the whole vehicle, voltage of the target single battery, and charging interface voltage. Step S20, the charging detection method further includes steps S21 to S23:

[0093] Step S21, perform power rationality calculation according to the total charging power, state of charge of the battery, state of charge of the whole vehicle, and the nominal total energy of the battery in the charging constraint information to determine the power rationality index of the target vehicle during charging.

[0094] It should be noted that the total charging power refers to the total charging power D1 of the target vehicle for a single charge; the state of charge D2 of the battery is, in this embodiment, the last reported value corresponding to the real-time state of charge SOC of the battery during the charging process; the state of charge D3 of the whole vehicle is, in this embodiment, the last reported value corresponding to the real-time state of charge SOC of the whole vehicle during the charging process; the target single-cell battery voltage D4 refers to the current highest single-cell battery voltage, which is the last reported value during the charging process in this embodiment; the charging interface voltage D5 refers to the current voltage measurement value of the vehicle interface.

[0095] It can be understood that the state of charge SOC is an indication information of the charge state of the battery, and it can also represent the indication information of the battery power. In each charging, as the battery charge increases, the SOC also increases accordingly. For the charging with an SOC increment of more than 50%, regardless of the type of battery material, the deviation degree between the total required power and the total actually charged power can be used as a measure of battery health, that is, the power rationality index.

[0096] It can be understood that when calculating the power rationality index, it is necessary to combine the total charging power D1, the state of charge D2 of the battery, the state of charge D3 of the whole vehicle, and the nominal total energy D6 of the battery in the charging constraint information for power rationality calculation. The specific calculation formula is: Among them, Ec% is the power rationality index, which is the percentage of the deviation between the actual charging power and the theoretical charging power relative to the theoretical charging power. The smaller the value corresponding to the power rationality index, the better the power rationality.

[0097] Step S22, perform voltage rationality calculation according to the target single-cell battery voltage, the charging interface voltage, and the charging constraint information, and determine the voltage rationality index of the target vehicle during the charging process.

[0098] It should be noted that after the target vehicle completes a single charge, especially for the case of starting charging from a lower SOC and charging to a battery power greater than the threshold (for example, when SOC reaches 90%), based on the hypothetical premise of better battery balance, the maximum single-cell voltage can be used as the maximum single-cell voltage that all single-cell batteries can reach or approximately reach. Therefore, based on the target single-cell battery voltage, the charging interface voltage, and the charging constraint information, the rationality of the total battery voltage can be calculated, so as to obtain the voltage rationality index of the target vehicle during the charging process. In this embodiment, the voltage rationality index is the percentage of the difference between the theoretical total battery voltage and the actual total battery voltage relative to the actual total battery voltage. The smaller the value corresponding to the voltage rationality index, the better the voltage rationality.

[0099] In a feasible implementation manner, the charging constraint information includes the rated total voltage of the battery and the rated voltage data. Step S22 may include steps C11 to C12:

[0100] Step C11, perform a series number calculation based on the rated total voltage of the battery and the rated voltage data to determine the number of single-cell battery strings.

[0101] It should be noted that when evaluating the rationality of the total battery voltage, first calculate the total number of series data of the single-cell battery based on the rated total voltage D7 of the battery and the rated voltage data D8. The calculation formula is as follows: Total number of series data D9 = D7 / D8. In this embodiment, the number of single-cell battery strings refers to the total number of series data D9 of the single-cell battery.

[0102] Step C12, perform a voltage rationality calculation based on the number of single-cell battery strings, the target single-cell battery voltage, and the charging interface voltage to determine the voltage rationality index of the target vehicle during the charging process.

[0103] It should be noted that when calculating the voltage rationality, it is necessary to perform a voltage rationality calculation based on the number of single-cell battery strings D9, the target single-cell battery voltage D4, and the charging interface voltage D5. The specific calculation formula is: where Vt% is the voltage rationality index.

[0104] Step S23, perform a status judgment based on the target single-cell battery voltage, the charging interface voltage, and the charging constraint information to determine the voltage overlimit status of the target vehicle during the charging process.

[0105] It should be noted that the judgment of the voltage overlimit status includes, but is not limited to, the judgment of multiple dimensions such as the maximum single-cell battery voltage and the total battery voltage, which is used to reflect whether the single-cell battery voltage and the total voltage of the battery pack are overlimit during the charging process. In this embodiment, the determination of the voltage overlimit status needs to be combined with the target single-cell battery voltage, the charging interface voltage, and the charging constraint information.

[0106] In a feasible implementation manner, the charging constraint information further includes a first charging constraint voltage, a second charging constraint voltage, and a charging cut-off voltage. Step S23 may include steps D11 to D14:

[0107] Step D11, compare the target single-cell battery voltage with the first charging constraint voltage and determine the first charging status according to the first comparison result.

[0108] It should be noted that the first charging constraint voltage refers to the maximum allowable charging voltage of a single battery cell; the second charging constraint voltage refers to the maximum allowable charging voltage of the battery pack. Compare the target single-cell battery voltage with the first charging constraint voltage to determine whether the target single-cell battery voltage is greater than the first charging constraint voltage. When the target single-cell battery voltage is greater than the first charging constraint voltage, the first charging state is an over-limit state; when the target single-cell battery voltage is less than or equal to the first charging constraint voltage, the first charging state is a non-over-limit state.

[0109] Step D12: Compare the target single-cell battery voltage with the charging cut-off voltage, and determine the second charging state according to the second comparison result.

[0110] It should be noted that compare the target single-cell battery voltage with the charging cut-off voltage to determine whether the target single-cell battery voltage is greater than the charging cut-off voltage. When the target single-cell battery voltage is greater than the charging cut-off voltage, the second charging state is an over-limit state; when the target single-cell battery voltage is less than or equal to the charging cut-off voltage, the second charging state is a non-over-limit state.

[0111] Step D13: Compare the charging interface voltage with the second charging constraint voltage, and determine the third charging state according to the third comparison result.

[0112] It should be noted that compare the charging interface voltage with the second charging constraint voltage to determine whether the charging interface voltage is greater than the second charging constraint voltage. When the charging interface voltage is greater than the second charging constraint voltage, the third charging state is an over-limit state; when the charging interface voltage is less than or equal to the second charging constraint voltage, the third charging state is a non-over-limit state.

[0113] Step D14: Determine the voltage over-limit state of the target vehicle during the charging process according to the first charging state, the second charging state, and the third charging state.

[0114] It should be noted that summarize the first charging state, the second charging state, and the third charging state to obtain the voltage over-limit state of the target vehicle during the charging process. When any one of the results in the first charging state, the second charging state, and the third charging state is an over-limit state, the voltage over-limit state is the over-limit state, and the specific over-limit reason can be clarified. For example, if the first charging state is an over-limit state, and the second charging state and the third charging state are both non-over-limit states, then the voltage over-limit state is the over-limit state, and the over-limit reason is that the target single-cell battery voltage is greater than the first charging constraint voltage.

[0115] This embodiment provides a charging detection method. In this embodiment, by performing power rationality calculation based on the total charging power, state of charge of the battery, state of charge of the whole vehicle, and the nominal total energy of the battery in the charging constraint information, a power rationality index of the target vehicle during the charging process is determined; by performing voltage rationality calculation based on the target single-cell battery voltage, the charging interface voltage, and the charging constraint information, a voltage rationality index of the target vehicle during the charging process is determined; by performing state judgment based on the target single-cell battery voltage, the charging interface voltage, and the charging constraint information, a voltage overlimit state of the target vehicle during the charging process is determined. Through the above method, multi-dimensional health detection can be performed by combining the charging status information and the charging constraint information, laying a foundation for obtaining accurate charging detection results later.

[0116] Based on the first embodiment and / or the second embodiment of the present application, in the third embodiment of the present application, the same or similar content as in the above-mentioned first embodiment and the second embodiment can be referred to the above introduction and will not be repeated hereinafter. On this basis, please refer to Figure 3 , step S10, the charging detection method further includes steps S41 to S44:

[0117] Step S41, compare the power rationality index in the rationality index with the power index threshold to obtain a fourth comparison result.

[0118] It should be noted that the power index threshold refers to the safety critical value corresponding to the power rationality index. The power index threshold can be obtained by analyzing the power rationality index of the battery pack in various healthy states, or can be set according to empirical values. This embodiment does not limit the source of the threshold.

[0119] It can be understood that by comparing the power rationality index with the power index threshold, a fourth comparison result is obtained to reflect whether the power state is reasonable. When the power rationality index is greater than the power index threshold, the fourth comparison result is that there is an abnormality in the power rationality; when the power rationality index is less than or equal to the power index threshold, the fourth comparison result is that no abnormality is found in the power rationality.

[0120] Step S42, compare the voltage rationality index in the rationality index with the voltage index threshold to obtain a fifth comparison result.

[0121] It should be noted that the voltage index threshold refers to the safety critical value corresponding to the voltage rationality index. The voltage index threshold can be obtained by analyzing the voltage rationality index of the battery pack in various healthy states, or can be set according to empirical values. This embodiment does not limit the source of the threshold.

[0122] It can be understood that by comparing the voltage rationality index with the voltage index threshold, a fifth comparison result is obtained to reflect whether the voltage state meets the safety requirements. When the voltage rationality index is greater than the voltage index threshold, the fifth comparison result indicates that there is an abnormality in the voltage rationality; when the voltage rationality index is less than or equal to the voltage index threshold, the fifth comparison result indicates that no abnormality is found in the voltage rationality.

[0123] Step S43: Determine the charging abnormality index of the target vehicle during the charging process according to the fourth comparison result, the fifth comparison result, the voltage overlimit state, and the battery abnormality information.

[0124] It should be noted that by combining the fourth comparison result, the fifth comparison result, the voltage overlimit state, and the battery abnormality information, a comprehensive assessment is made on whether there is an abnormal condition during the charging process, and when there is an abnormal state, the specific charging abnormality index. For example, when the fourth comparison result indicates that there is an abnormality in the power rationality, it means that there is an abnormality in the target vehicle during this charging process, and the charging abnormality index is the power rationality index.

[0125] Step S44: Generate a charging detection result for the target vehicle according to the charging abnormality index.

[0126] It should be noted that the charging abnormality index is marked (such as warning markings in colors or block diagrams, etc.), and the rationality index, the voltage overlimit state, and the battery abnormality information are summarized to obtain the charging detection result corresponding to the target vehicle during a single charging process. The charging detection device will directly display the charging detection result through its own display interface; or send the charging detection result to the management personnel corresponding to the target vehicle, so that the management personnel can make a prediction and judgment on the battery health of the target vehicle based on the charging detection result. This embodiment provides a charging detection method. In this embodiment, by comparing the power rationality index in the rationality index with the power index threshold, a fourth comparison result is obtained; by comparing the voltage rationality index in the rationality index with the voltage index threshold, a fifth comparison result is obtained; according to the fourth comparison result, the fifth comparison result, the voltage overlimit state, and the battery abnormality information, the charging abnormality index of the target vehicle during the charging process is determined; and a charging detection result for the target vehicle is generated according to the charging abnormality index. Through the above method, through multi-dimensional health detection, it is possible to comprehensively evaluate whether there is an abnormal condition during the charging process and provide a reliable basis for users to manage battery health.

[0127] It should be noted that the above examples are only for understanding the present application and do not constitute a limitation on the charging detection method of the present application. Based on this technical concept, more forms of simple transformations are within the protection scope of the present application.

[0128] The present application also provides a charging detection device. Please refer to Figure 4 , and the charging detection device includes:

[0129] An acquisition module 10, configured to acquire charging status information, charging constraint information, and battery management data of a target vehicle during charging.

[0130] A detection module 20, configured to perform multi-dimensional charging health detection according to the charging status information and the charging constraint information, and determine a rationality index and a voltage overlimit status of the target vehicle during charging.

[0131] A processing module 30, configured to determine battery abnormality information of the target vehicle during charging according to the battery management data.

[0132] The processing module 30 is further configured to determine a charging detection result of the target vehicle according to the rationality index, the voltage overlimit status, and the battery abnormality information.

[0133] Optionally, the detection module 20 is further configured to:

[0134] Perform power rationality calculation according to the total charging power, state of charge of the battery, state of charge of the whole vehicle, and nominal total energy of the battery in the charging constraint information to determine the power rationality index of the target vehicle during charging; perform voltage rationality calculation according to the target single-cell voltage, the charging interface voltage, and the charging constraint information to determine the voltage rationality index of the target vehicle during charging; perform status judgment according to the target single-cell voltage, the charging interface voltage, and the charging constraint information to determine the voltage overlimit status of the target vehicle during charging.

[0135] Optionally, the detection module 20 is further configured to:

[0136] Perform string number calculation according to the rated total voltage of the battery and the rated voltage data to determine the number of single-cell strings; perform voltage rationality calculation according to the number of single-cell strings, the target single-cell voltage, and the charging interface voltage to determine the voltage rationality index of the target vehicle during charging.

[0137] Optionally, the detection module 20 is further configured to:

[0138] Compare the target single-cell battery voltage with the first charging constraint voltage, and determine the first charging state according to the first comparison result; compare the target single-cell battery voltage with the charging cut-off voltage, and determine the second charging state according to the second comparison result; compare the charging interface voltage with the second charging constraint voltage, and determine the third charging state according to the third comparison result; determine the voltage overlimit state of the target vehicle during the charging process according to the first charging state, the second charging state, and the third charging state.

[0139] Optionally, the processing module 30 is further configured to:

[0140] Extract features from the battery management data to determine the target parameter values corresponding to each charging parameter; perform data analysis based on the target parameter values corresponding to each charging parameter and the preset parameter ranges corresponding to each charging parameter, and determine the battery abnormality information of the target vehicle during the charging process according to the analysis result.

[0141] Optionally, the processing module 30 is further configured to:

[0142] Compare the power rationality index in the rationality index with the power index threshold to obtain a fourth comparison result; compare the voltage rationality index in the rationality index with the voltage index threshold to obtain a fifth comparison result; determine the charging abnormality index of the target vehicle during the charging process according to the fourth comparison result, the fifth comparison result, the voltage overlimit state, and the battery abnormality information; generate a charging detection result for the target vehicle according to the charging abnormality index.

[0143] Optionally, the obtaining module 10 is further configured to:

[0144] Obtain the connection method of the battery pack on the target vehicle and the battery material type of the battery pack; determine the charging constraint information according to the connection method and the battery material type.

[0145] The charging detection device provided by the present application adopts the charging detection method in the above embodiment, and can solve the technical problem that the current DC charging pile cannot perform a comprehensive charging safety analysis on a single charging process. Compared with the prior art, the beneficial effects of the charging detection device provided by the present application are the same as those of the charging detection method provided by the above embodiment, and the other technical features in the charging detection device are the same as the features disclosed in the method of the above embodiment, and will not be elaborated here.

[0146] The present application provides a charging detection device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein, the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the charging detection method in Embodiment 1 above.

[0147] Reference is made below Figure 5 to FIG., which shows a schematic structural diagram of a charging detection device suitable for implementing the embodiments of the present application. The charging detection device in the embodiments of the present application may include, but is not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistant), PADs (Portable Application Description: tablet computers), PMPs (Portable Media Player: portable multimedia players), vehicle terminals (such as vehicle navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 5 The charging detection device shown is merely an example and should not impose any limitation on the functions and usage scope of the embodiments of the present application.

[0148] As Figure 5 shown, the charging detection device may include a processing device 1001 (such as a central processing unit, a graphics processing unit, etc.), which can execute various appropriate actions and processes according to the program stored in a read-only memory (ROM: Read Only Memory) 1002 or the program loaded from a storage device 1003 into a random access memory (RAM: Random Access Memory) 1004. In the RAM 1004, various programs and data required for the operation of the charging detection device are also stored. The processing device 1001, the ROM 1002, and the RAM 1004 are connected to each other through a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Generally, the following systems may be connected to the I / O interface 1006: an input device 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; an output device 1008 including, for example, a liquid crystal display (LCD: Liquid Crystal Display), a speaker, a vibrator, etc.; a storage device 1003 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 1009. The communication device 1009 may allow the charging detection device to communicate with other devices wirelessly or wiredly to exchange data. Although the figure shows a charging detection device with various systems, it should be understood that it is not required to implement or include all the systems shown. More or fewer systems may be alternatively implemented or included.

[0149] In particular, according to the embodiments disclosed in the present application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program contains program codes for executing the methods shown in the flowcharts. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by a processing device 1001, the above-mentioned functions defined in the methods of the embodiments disclosed in the present application are executed.

[0150] The charging detection device provided by the present application adopts the charging detection method in the above-mentioned embodiment, and can solve the technical problem that the current DC charging pile cannot conduct a comprehensive charging safety analysis on a single charging process. Compared with the prior art, the beneficial effects of the charging detection device provided by the present application are the same as those of the charging detection method provided by the above-mentioned embodiment, and other technical features in the charging detection device are the same as those disclosed in the method of the previous embodiment, and will not be elaborated here.

[0151] It should be understood that the various parts disclosed in the present application can be implemented by hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in a suitable manner in any one or more embodiments or examples.

[0152] The above is only the specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed in the present application, and all should be covered by the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

[0153] The present application provides a charging device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the charging detection method in the first embodiment above.

[0154] The present application provides a computer-readable storage medium, having computer-readable program instructions (i.e., computer programs) stored thereon, and the computer-readable program instructions are used to execute the charging detection method in the above-mentioned embodiment.

[0155] The computer-readable storage medium provided by this application can be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or components, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: electrical connections with one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM) or flash memory, optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the above. In this embodiment, the computer-readable storage medium can be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, device, or component. The program code contained on the computer-readable storage medium can be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0156] The above computer-readable storage medium can be included in the charge detection device and / or the charging device; it can also exist separately without being assembled into the charge detection device and / or the charging device.

[0157] The above computer-readable storage medium carries one or more programs. When the one or more programs are executed by the charge detection device, the charge detection device and / or the charging device are caused to: obtain the charge status information, charge constraint information, and battery management data of the target vehicle during charging; perform multi-dimensional charge health detection based on the charge status information and the charge constraint information to determine the rationality index and voltage overlimit status of the target vehicle during charging; determine the battery abnormality information of the target vehicle during charging based on the battery management data; and determine the charge detection result of the target vehicle based on the rationality index, the voltage overlimit status, and the battery abnormality information.

[0158] Computer program code for performing the operations of this application can be written in one or more programming languages or combinations thereof. The above-mentioned programming languages include object-oriented programming languages such as Java, Smalltalk, C++, and also include conventional procedural programming languages such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, executed as an independent software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any kind of network, including a local area network (LAN: Local Area Network) or a wide area network (WAN: Wide Area Network), or it can be connected to an external computer (for example, by using an Internet service provider to connect through the Internet).

[0159] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions, and operations of systems, methods, and computer program products according to various embodiments of this application. In this regard, each block in the flowchart or block diagram can represent a module, a program segment, or a part of the code, and this module, program segment, or part of the code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than that marked in the accompanying drawings. For example, two consecutively represented blocks can actually be executed substantially in parallel, and they can sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagram and / or flowchart, as well as the combination of blocks in the block diagram and / or flowchart, can be implemented by a dedicated hardware-based system for performing the specified functions or operations, or can be implemented by a combination of dedicated hardware and computer instructions.

[0160] The modules described in the embodiments of this application can be implemented in software or in hardware. Among them, the name of the module does not constitute a limitation to the unit itself in some cases.

[0161] The readable storage medium provided in this application is a computer-readable storage medium, and the computer-readable storage medium stores computer-readable program instructions (i.e., computer programs) for performing the above-mentioned charging detection method, which can solve the technical problem that the current DC charging pile cannot conduct a comprehensive charging safety analysis on a single charging process. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in this application are the same as those of the charging detection method provided in the above embodiments, and will not be elaborated here.

[0162] The present application also provides a computer program product, including a computer program which, when executed by a processor, implements the steps of the charging detection method as described above.

[0163] The computer program product provided by the present application can solve the technical problem that the current DC charging pile cannot conduct a comprehensive charging safety analysis on a single charging process. Compared with the prior art, the beneficial effects of the computer program product provided by the present application are the same as those of the charging detection method provided by the above embodiments, and will not be elaborated herein.

[0164] The above are only partial embodiments of the present application, and thus do not limit the patent scope of the present application. Any equivalent structural transformation made by using the content of the specification and drawings of the present application under the technical concept of the present application, or any direct / indirect application in other related technical fields, is included in the patent protection scope of the present application.

Claims

1. A charging detection method, characterized in that, The method includes: Obtaining the charging status information, charging constraint information, and battery management data of the target vehicle during the charging process; Performing multi-dimensional charging health detection based on the charging status information and the charging constraint information to determine the rationality index and voltage overlimit status of the target vehicle during the charging process; Determining the battery abnormality information of the target vehicle during the charging process according to the battery management data; Determining the charging detection result of the target vehicle according to the rationality index, the voltage overlimit status, and the battery abnormality information.

2. The method according to claim 1, characterized in that, The charging status information includes the total charging power, state of charge of the battery, state of charge of the whole vehicle, voltage of the target single cell, and charging interface voltage; The step of performing multi-dimensional charging health detection based on the charging status information and the charging constraint information to determine the rationality index and voltage overlimit status of the target vehicle during the charging process includes: Performing power rationality calculation according to the total charging power, state of charge of the battery, state of charge of the whole vehicle, and the nominal total energy of the battery in the charging constraint information to determine the power rationality index of the target vehicle during the charging process; Performing voltage rationality calculation according to the voltage of the target single cell, the charging interface voltage, and the charging constraint information to determine the voltage rationality index of the target vehicle during the charging process; Performing status judgment according to the voltage of the target single cell, the charging interface voltage, and the charging constraint information to determine the voltage overlimit status of the target vehicle during the charging process.

3. The method according to claim 2, wherein The charging constraint information includes the rated total voltage of the battery and the rated voltage data; The step of performing voltage rationality calculation according to the voltage of the target single cell, the charging interface voltage, and the charging constraint information to determine the voltage rationality index of the target vehicle during the charging process includes: Performing string number calculation according to the rated total voltage of the battery and the rated voltage data to determine the number of single cell strings; Performing voltage rationality calculation according to the number of single cell strings, the voltage of the target single cell, and the charging interface voltage to determine the voltage rationality index of the target vehicle during the charging process.

4. The method according to claim 2, wherein The charging constraint information further includes the first charging constraint voltage, the second charging constraint voltage, and the charging cut-off voltage; The step of performing status judgment according to the voltage of the target single cell, the charging interface voltage, and the charging constraint information to determine the voltage overlimit status of the target vehicle during the charging process includes: Comparing the voltage of the target single cell with the first charging constraint voltage and determining the first charging status according to the first comparison result; Comparing the voltage of the target single cell with the charging cut-off voltage and determining the second charging status according to the second comparison result; Comparing the charging interface voltage with the second charging constraint voltage and determining the third charging status according to the third comparison result; Determining the voltage overlimit status of the target vehicle during the charging process according to the first charging status, the second charging status, and the third charging status.

5. The method according to claim 1, wherein The step of determining the battery anomaly information of the target vehicle during charging according to the battery management data includes: Performing feature extraction on the battery management data to determine the target parameter values corresponding to each charging parameter; Performing data analysis based on the target parameter values corresponding to each charging parameter and the preset parameter ranges corresponding to each charging parameter, and determining the battery anomaly information of the target vehicle during charging according to the analysis results.

6. The method according to any one of claims 1 to 5, characterized in that, The step of determining the charging detection result of the target vehicle according to the rationality index, the voltage overlimit state, and the battery anomaly information includes: Comparing the power rationality index in the rationality index with the power index threshold to obtain a fourth comparison result; Comparing the voltage rationality index in the rationality index with the voltage index threshold to obtain a fifth comparison result; Determining the charging anomaly index of the target vehicle during charging according to the fourth comparison result, the fifth comparison result, the voltage overlimit state, and the battery anomaly information; Generating the charging detection result of the target vehicle according to the charging anomaly index.

7. The method according to any one of claims 1 to 5, characterized in that, Before the step of obtaining the charging status information, charging constraint information, and battery management data of the target vehicle during charging, it further includes: Obtaining the connection method of the battery pack on the target vehicle and the battery material type of the battery pack; Determining the charging constraint information according to the connection method and the battery material type.

8. A charging detection device, characterized in that, The charging detection device includes: An acquisition module, configured to acquire the charging status information, charging constraint information, and battery management data of the target vehicle during charging; A detection module, configured to perform multi-dimensional charging health detection according to the charging status information and the charging constraint information, and determine the rationality index and voltage overlimit state of the target vehicle during charging; A processing module, configured to determine the battery anomaly information of the target vehicle during charging according to the battery management data; The processing module is further configured to determine the charging detection result of the target vehicle according to the rationality index, the voltage overlimit state, and the battery anomaly information.

9. A charging detection device, characterized in that, The device includes: a memory, a processor, and a charging detection program stored on the memory and executable on the processor, where the charging detection program is configured to implement the steps of the charging detection method according to any one of claims 1 to 7.

10. A charging device, characterized in that, The device includes: a memory, a processor, and a charging detection program stored on the memory and executable on the processor, where the charging detection program is configured to implement the steps of the charging detection method according to any one of claims 1 to 7.

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