Automobile charging control method and system

Abstract

The present invention relates to the technical field of charging management, and discloses a vehicle charging control method and system. The present invention continuously collects charging data of an original vehicle battery and a secondary battery, analyzes the collected data of the original vehicle battery and the secondary battery, obtains a charging balance situation, sorts the charging data of the original vehicle battery and the secondary battery according to time sequence, forms an original vehicle battery monitoring sequence and a secondary battery monitoring sequence, respectively performs abnormal feature analysis on the monitoring sequences of the original vehicle battery and the secondary battery, identifies potential problems, comprehensively analyzes the charging balance situation and abnormal features, formulates corresponding charging strategies, dynamically analyzes the charging state, optimizes the charging process, realizes charging balance, reduces overcharging and over-discharging, identifies abnormalities in time, reduces fault risks, improves the intelligence level of the battery management system, adapts to different application scenarios, and solves the problem of lack of dynamic charging adjustment when charging the battery of a vehicle equipped with a secondary battery in the prior art.

Description

Technical Field

[0001] The present invention relates to the technical field of charging management, and in particular to a vehicle charging control method and system. Background Art

[0002] As the degree of automobile electrification increases, the importance of batteries in vehicles becomes increasingly apparent. The batteries installed in the car are responsible for starting and powering the car. On this basis, a secondary battery can be installed to provide additional energy support, such as powering auxiliary equipment. When the car is running, it will drive the battery charging device to charge the battery.

[0003] In the prior art, after adding a secondary battery to an electric vehicle, if the original charging strategy is used, real-time monitoring and adjustment of the charging process cannot be achieved. The lack of dynamic analysis of the mutual influence between the original vehicle battery and the secondary battery may cause battery overcharging, over-discharging or uneven charging, thereby affecting the battery performance and safety. Summary of the invention

[0004] The object of the present invention is to provide a vehicle charging control method and system, aiming to solve the problem of lack of dynamic charging adjustment when charging the battery of a vehicle equipped with a secondary battery in the prior art.

[0005] The present invention is implemented in this way. In a first aspect, the present invention provides a vehicle charging control method, comprising:

[0006] Continuously collecting charging data of the original vehicle battery and the auxiliary battery to obtain the charging data of the original vehicle battery and the auxiliary battery at each moment; wherein the charging data includes the battery power and the charging voltage;

[0007] Analyze the charging balance status of the original vehicle battery and the auxiliary battery according to the charging data of the original vehicle battery and the auxiliary battery at the current moment, and obtain the charging balance status of the original vehicle battery and the auxiliary battery; wherein the charging balance status includes the status of the power dimension and the status of the voltage dimension;

[0008] Arranging and processing the charging data of the original vehicle battery and the charging data of the auxiliary battery at each moment in time order respectively, to obtain an original vehicle battery monitoring sequence of the original vehicle battery and an auxiliary battery monitoring sequence of the auxiliary battery;

[0009] Performing abnormal characteristic analysis on the original vehicle battery monitoring sequence and the secondary battery monitoring sequence respectively, to obtain the original vehicle battery abnormal characteristic corresponding to the original vehicle battery and the secondary battery abnormal characteristic corresponding to the secondary battery;

[0010] A comprehensive analysis is performed based on the charging balancing situation, the abnormal characteristics of the original vehicle battery and the abnormal characteristics of the auxiliary battery to obtain the charging strategies of the original vehicle battery and the auxiliary battery.

[0011] In a second aspect, the present invention provides an automobile charging control system for implementing an automobile charging control method as described in any one of the first aspects.

[0012] The present invention provides a vehicle charging control method, which has the following beneficial effects:

[0013] The present invention continuously collects charging data of an original vehicle battery and a secondary battery, analyzes the collected data of the original vehicle battery and the secondary battery, obtains a charging balancing situation, sorts the charging data of the original vehicle battery and the secondary battery in chronological order, forms an original vehicle battery monitoring sequence and a secondary battery monitoring sequence, respectively performs abnormal feature analysis on the monitoring sequences of the original vehicle battery and the secondary battery, identifies potential problems, comprehensively considers the charging balancing situation and abnormal features, formulates a corresponding charging strategy, dynamically analyzes the charging state, optimizes the charging process, achieves charging balancing, reduces overcharging and over-discharging, identifies abnormalities in a timely manner, reduces the risk of failure, improves the intelligence level of the battery management system, adapts to different application scenarios, and solves the problem of lack of dynamic charging adjustment when charging the battery of a car equipped with a secondary battery in the prior art. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 It is a schematic diagram of the steps of a vehicle charging control method provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0015] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0016] The implementation of the present invention is described in detail below in conjunction with specific embodiments.

[0017] Reference Figure 1 As shown, a preferred embodiment of the present invention is provided.

[0018] In a first aspect, the present invention provides a vehicle charging control method, comprising:

[0019] S1: continuously collecting charging data of the original vehicle battery and the auxiliary battery to obtain charging data of the original vehicle battery and the auxiliary battery at each moment; wherein the charging data includes battery power and charging voltage;

[0020] S2: analyzing the charging balance status of the original vehicle battery and the auxiliary battery according to the charging data of the original vehicle battery and the auxiliary battery at the current moment, and obtaining the charging balance status of the original vehicle battery and the auxiliary battery; wherein the charging balance status includes the status of the power dimension and the status of the voltage dimension;

[0021] S3: Arranging and processing the charging data of the original vehicle battery and the charging data of the auxiliary battery at each moment according to the time sequence, to obtain an original vehicle battery monitoring sequence of the original vehicle battery and an auxiliary battery monitoring sequence of the auxiliary battery;

[0022] S4: performing abnormal characteristic analysis on the original vehicle battery monitoring sequence and the secondary battery monitoring sequence respectively, to obtain the original vehicle battery abnormal characteristic corresponding to the original vehicle battery and the secondary battery abnormal characteristic corresponding to the secondary battery;

[0023] S5: Perform a comprehensive analysis based on the charging balancing situation, the abnormal characteristics of the original vehicle battery, and the abnormal characteristics of the auxiliary battery to obtain a charging strategy for the original vehicle battery and the auxiliary battery.

[0024] Specifically, in step S1 of the embodiment provided by the present invention, sensors are pre-installed on the original vehicle battery and the auxiliary battery to continuously collect charging data of the original vehicle battery and the auxiliary battery during charging for subsequent analysis, and the charging data includes battery power and charging voltage.

[0025] It should be noted that when charging a car with an auxiliary battery installed, there are many different charging strategies, including charging the original battery first and then the auxiliary battery, charging the auxiliary battery first and then the original battery, charging the main and auxiliary batteries together, etc. The specific charging strategy to be used needs to be analyzed based on the collected charging data to obtain the best charging effect, so as to avoid faults such as the original battery cannot be charged and the auxiliary battery is reversely discharged.

[0026] Generally, the charging voltage needs to reach 14.5V or above before charging the secondary battery begins.

[0027] Specifically, in step S2 of the embodiment provided by the present invention, the charging data collected by the transmitter deployed in the battery pack is used to analyze the charging balance status of the original vehicle battery and the auxiliary battery to obtain the charging balance status of the original vehicle battery and the auxiliary battery.

[0028] More specifically, the charging balancing situation includes a situation in a power dimension and a situation in a voltage dimension, that is, a difference in battery power between the original vehicle battery and the auxiliary battery, and a difference in charging voltage between the original vehicle battery and the auxiliary battery.

[0029] It should be noted that a secondary battery can be installed on the car. The secondary battery can provide backup power on the basis of the original vehicle battery. Therefore, there is electrical signal connectivity between the original vehicle battery and the secondary battery. When the original vehicle battery and the secondary battery are charged, if the difference in power between the two is too large, the original vehicle battery will fail to charge and the secondary battery will discharge reversely. In order to avoid these phenomena, it is necessary to analyze the charging strategy based on the charging data of the original vehicle battery and the secondary battery to determine which charging strategy can avoid these abnormal phenomena.

[0030] Specifically, in step S3 of the embodiment provided by the present invention, the original vehicle battery charging data and the secondary battery charging data at each moment are arranged and processed respectively according to the time sequence to obtain the original vehicle battery monitoring sequence of the original vehicle battery and the secondary battery monitoring sequence of the secondary battery.

[0031] More specifically, the charging data of the original vehicle battery and the auxiliary battery are collected regularly, and a timestamp is attached to each set of data for subsequent time sorting and analysis. A suitable data structure (such as array, list, database table, etc.) is used to store the collected original vehicle battery and auxiliary battery data. Each data item should contain a timestamp and the corresponding charging data. The data is stored in a database or file system to ensure data persistence and traceability.

[0032] More specifically, the charging data of the original vehicle battery and the auxiliary battery are sorted according to the timestamp. Common sorting algorithms (such as quick sort, merge sort, etc.) can be used to ensure that the data is arranged in chronological order, and the sorted data are sorted into the original vehicle battery monitoring sequence and the auxiliary battery monitoring sequence respectively. Each monitoring sequence should be based on time to facilitate subsequent analysis.

[0033] More specifically, the monitoring sequences of the primary and secondary batteries are checked for consistency to ensure that the charging data at the same time point correspond to each other, abnormal data points are identified and processed to ensure the accuracy and reliability of the monitoring sequence, and the monitoring sequence is formatted to facilitate subsequent data analysis and visualization. For example, the data is converted into a format suitable for input into statistical analysis tools or visualization software.

[0034] It can be understood that by arranging in chronological order, a structured monitoring sequence is formed to facilitate subsequent analysis and decision-making. The generated monitoring sequence provides basic data support for subsequent charge equalization analysis, battery performance evaluation, fault diagnosis, etc.

[0035] Specifically, in step S4 of the embodiment provided by the present invention, key features such as voltage fluctuation, charging current change rate, charging time, SOC change rate, etc. are extracted from the monitoring sequence, and the statistics of each feature (such as mean, standard deviation, maximum value, minimum value, etc.) are calculated to provide a basis for subsequent abnormality detection.

[0036] More specifically, a suitable algorithm is selected to perform anomaly detection on the original vehicle battery monitoring sequence and the auxiliary battery monitoring sequence, anomaly points are identified, characteristics of the abnormal data points are analyzed, and compared with normal data to identify abnormal characteristics of the original vehicle battery and the auxiliary battery.

[0037] More specifically, the abnormal characteristics of the original vehicle battery and the auxiliary battery are sorted and recorded to form a detailed analysis report to facilitate subsequent decision-making and improvement measures.

[0038] It is understandable that through abnormal feature analysis, potential faults in the battery system can be discovered in a timely manner, reducing the risk of battery damage and safety accidents. After identifying the abnormal features, the charging strategy and balancing strategy can be adjusted in a targeted manner to improve the battery's efficiency and life.

[0039] Specifically, in step S5 of the embodiment provided by the present invention, a charging balancing situation is obtained for analyzing the battery performance and status differences during the charging process, and abnormal characteristic data of the original vehicle battery and the auxiliary battery are collected, including the frequency and type of abnormality and its corresponding time period and conditions, and the effects of executing various preset strategies on the original vehicle battery and the auxiliary battery are determined to determine the charging strategy to be used in the end.

[0040] More specifically, based on the charging balance situation and abnormal characteristics of the original vehicle battery, its current status is evaluated (such as whether it is within the safe charging range, whether there is a risk of overheating, etc.), and the status of the auxiliary battery is also evaluated to analyze whether it will affect the charging process of the original vehicle battery.

[0041] More specifically, based on the status evaluation of the original vehicle battery and the auxiliary battery, combined with the charging balancing situation, the execution effect of various preset strategies is analyzed, and the impact of abnormal characteristics on the charging strategy is analyzed. It is evaluated how the abnormal characteristics of the original vehicle battery and the auxiliary battery affect the charging effect. For example: if the original vehicle battery overheats, the charging current should be reduced or charging should be suspended. If the discharge rate of the auxiliary battery is too fast, the charging strategy needs to be adjusted to avoid imbalance.

[0042] More specifically, the charging process is simulated, and the battery model is used to simulate the formulated charging strategy. The changes in voltage, current, and SOC during the charging process are observed, the charging efficiency and battery health status under different charging strategies are compared, the effectiveness of the formulated strategy is verified, and the strategy is optimized according to the simulation results to determine the final charging strategy to be used.

[0043] It is understandable that by optimizing the charging strategy, the charging efficiency can be improved, the charging time can be shortened, and the overall battery usage experience can be enhanced. Through a reasonable charging strategy, overcharging, overheating and other phenomena during the charging process can be reduced, thereby extending the battery life.

[0044] The present invention provides a vehicle charging control method, which has the following beneficial effects:

[0045] The present invention continuously collects charging data of an original vehicle battery and a secondary battery, analyzes the collected data of the original vehicle battery and the secondary battery, obtains a charging balancing situation, sorts the charging data of the original vehicle battery and the secondary battery in chronological order, forms an original vehicle battery monitoring sequence and a secondary battery monitoring sequence, respectively performs abnormal feature analysis on the monitoring sequences of the original vehicle battery and the secondary battery, identifies potential problems, comprehensively considers the charging balancing situation and abnormal features, formulates a corresponding charging strategy, dynamically analyzes the charging state, optimizes the charging process, achieves charging balancing, reduces overcharging and over-discharging, identifies abnormalities in a timely manner, reduces the risk of failure, improves the intelligence level of the battery management system, adapts to different application scenarios, and solves the problem of lack of dynamic charging adjustment when charging the battery of a car equipped with a secondary battery in the prior art.

[0046] Preferably, the step of continuously collecting charging data of the original vehicle battery and the auxiliary battery to obtain the charging data of the original vehicle battery and the auxiliary battery at each moment includes:

[0047] S11: continuously collecting data on the battery power of the original vehicle battery to obtain the battery power of the original vehicle battery at each moment;

[0048] S12: continuously collecting charging voltage data of the original vehicle battery to obtain the charging voltage of the original vehicle battery at each moment;

[0049] S13: combining the battery power and the charging voltage of the original vehicle battery at the same time to obtain the original vehicle battery charging data of the original vehicle battery at each time;

[0050] S14: continuously collecting data on the battery power of the secondary battery to obtain the battery power of the secondary battery at each moment;

[0051] S15: continuously collecting data of the charging voltage of the secondary battery to obtain the charging voltage of the secondary battery at each moment;

[0052] S16: Combining and processing the battery power and the charging voltage of the secondary battery at the same time, to obtain the secondary battery charging data of the secondary battery at each time.

[0053] Specifically, ensure the normal operation of the charging system and battery management system (BMS), install relevant sensors and data acquisition equipment, set up a data acquisition system to regularly record the original vehicle battery power (State of Charge, SOC), monitor the original vehicle battery power in real time through the battery management system, and record it in the database to ensure the timeliness and accuracy of the data.

[0054] More specifically, a voltage sensor is set to regularly record the charging voltage of the original vehicle battery. During the charging process, the charging voltage is continuously monitored and the data is stored in a database. At the same time, the power data and charging voltage data of the original vehicle battery are combined and processed to form the original vehicle battery charging data record. The integrated data should include timestamp, current power, current charging voltage and other information to form a structured data record.

[0055] More specifically, a secondary battery data acquisition system is configured, a collection system similar to that of the original vehicle battery is set up, the power of the secondary battery is monitored in real time, the SOC of the secondary battery is recorded through the battery management system, and the data is stored, a voltage sensor is set up, and the charging voltage of the secondary battery is recorded regularly. During the charging process, the charging voltage of the secondary battery is continuously monitored and the data is stored, the power and charging voltage data of the secondary battery are combined and processed at the same time to form a secondary battery charging data record, and the integrated data should include timestamp, current power, current charging voltage and other information to form a structured data record.

[0056] More specifically, the charging data of the original vehicle battery and the auxiliary battery are stored in a database and backed up regularly to ensure the security and integrity of the data. A data management platform is developed for data visualization and analysis to support subsequent charging strategy optimization. The quality of the collected data is checked regularly to ensure that the data is accurate. According to actual needs, the frequency of data collection is adjusted to obtain more detailed data.

[0057] It is understandable that through continuous data collection and monitoring, the charging status of the original vehicle battery and the auxiliary battery can be mastered in real time, providing a basis for timely adjustment of the charging strategy. Continuous data collection ensures the data integrity at each moment in the charging process and provides a sufficient data basis for subsequent analysis. Through real-time monitoring of the original vehicle battery and the auxiliary battery, the charging strategy can be optimized, the charging efficiency can be improved, the charging time can be reduced, and the battery power and charging voltage can be monitored in real time, which helps to detect abnormal situations in time and reduce safety risks such as battery overcharging and overheating.

[0058] Preferably, the step of analyzing the charging balance status of the original vehicle battery and the secondary battery according to the charging data of the original vehicle battery and the secondary battery at the current moment to obtain the charging balance status of the original vehicle battery and the secondary battery includes:

[0059] S21: comparing the battery power of the original vehicle battery and the secondary battery according to the charging data of the original vehicle battery and the charging data of the secondary battery to obtain a battery power dimension status;

[0060] S22: performing a comparison process on the charging voltages of the original vehicle battery and the auxiliary battery according to the charging data of the original vehicle battery and the charging data of the auxiliary battery to obtain a voltage dimension situation;

[0061] S23: Combining and processing the power dimension situation and the voltage dimension situation to obtain the charging balance situation of the original vehicle battery and the auxiliary battery.

[0062] Specifically, the charging data of the original vehicle battery and the auxiliary battery are collected, including the current charge (SOC) and charging voltage. These data should be collected at the same time to ensure consistency.

[0063] More specifically, compare the power (SOC) of the original vehicle battery and the auxiliary battery, calculate the difference between the two, and judge the charging status based on the difference value. If the charging status of the original vehicle battery is higher, the auxiliary battery needs more charging. If the charging status of the auxiliary battery is higher, the original vehicle battery needs more charging. If the power of the original vehicle battery is very low compared to the power of the auxiliary battery, the original vehicle battery cannot be charged. At this time, the original vehicle battery and the auxiliary battery cannot be charged at the same time, and the original vehicle battery needs to be charged first until the power dimension situation meets the requirements for simultaneous charging.

[0064] More specifically, the charging voltages of the original vehicle battery and the auxiliary battery are compared, the difference between the two is calculated, and the voltage dimension situation is obtained. The voltage dimension situation reflects the difference between the charging voltages of the original vehicle battery and the auxiliary battery. When the difference in charging voltages between the original vehicle battery and the auxiliary battery is too large, and the difference in power reaches a certain standard, the auxiliary battery will have a reverse discharge phenomenon. Therefore, when charging the original vehicle battery and the auxiliary battery, it is necessary to select the subsequent charging strategy based on the real-time charging data status of the original vehicle battery and the auxiliary battery.

[0065] More specifically, the status of the power dimension and the status of the voltage dimension are combined to form a comprehensive charging balance status. According to the difference in power and voltage, the overall charging status is evaluated. Considering the relative importance of the two, a charging balance status report is generated to indicate whether measures need to be taken (such as adjusting the charging strategy, balanced charging, etc.). According to the analysis results, the corresponding charging balance strategy is implemented, including: adjusting the charging current or voltage, optimizing the charging process, and using the battery management system for dynamic adjustment to ensure that the original vehicle battery and the auxiliary battery remain in a balanced state during the charging process.

[0066] It is understandable that through comprehensive analysis of power and voltage, the charging balance of the original vehicle battery and the auxiliary battery can be achieved, and the charging efficiency of the overall system can be improved. Charging balance can effectively reduce overcharging and over-discharging of the battery, thereby extending the battery life and reducing maintenance costs. Timely detection of power and voltage imbalances can reduce safety hazards such as battery overheating and short circuits, and improve the overall safety of the system. By analyzing the charging status in real time, the charging strategy can be dynamically optimized to ensure the optimization of the battery charging status under different charging conditions.

[0067] Preferably, the steps of arranging the charging data of the original vehicle battery and the charging data of the secondary battery at each moment in time order to obtain the original vehicle battery monitoring sequence of the original vehicle battery and the secondary battery monitoring sequence of the secondary battery include:

[0068] S31: constructing a time coordinate axis having a plurality of time nodes arranged in sequence;

[0069] S32: constructing corresponding original vehicle battery data items and auxiliary battery data items based on each of the time nodes of the time coordinate axis;

[0070] S33: Substituting the original vehicle battery charging data at each time into the original vehicle battery data item at each time node in sequence to obtain the original vehicle battery monitoring sequence;

[0071] S34: Substitute the secondary battery charging data at each time into the secondary battery data item at each time node in sequence to obtain the secondary battery monitoring sequence.

[0072] Specifically, define a time range, determine the start and end time of data collection, and construct a time coordinate axis with several time nodes at uniform time intervals (for example, seconds, minutes, or hours). Each node represents a specific time point.

[0073] More specifically, the charging data of the original vehicle battery and the auxiliary battery corresponding to each time node are collected. These data may include parameters such as power (SOC), voltage (V), current (I), etc. When collecting data, ensure the consistency of the timestamp and ensure that each data item can accurately correspond to the node on the time coordinate axis.

[0074] More specifically, for each time node, an original vehicle battery data item is created, which contains the original vehicle battery charging data (such as power, charging voltage and current) at that time, ensuring that the correspondence between each data item and the time node is clear.

[0075] More specifically, similarly, for each time node, a secondary battery data item is created, which contains the secondary battery charging data at that time, ensuring that the correspondence between the secondary battery data item and the time node is clear, and the original vehicle battery charging data at each time is substituted into the original vehicle battery data item at each time node in turn to form a sequence, called the original vehicle battery monitoring sequence, which will be arranged in chronological order to facilitate subsequent analysis and processing.

[0076] More specifically, the secondary battery charging data at each moment is sequentially substituted into the secondary battery data item at each moment node to form a sequence, called the secondary battery monitoring sequence. Similarly, the sequence will be arranged in chronological order for subsequent analysis.

[0077] It can be understood that by constructing the time coordinate axis, the charging data is structured, making the data easier to manage and analyze. The formation of the original vehicle battery monitoring sequence and the auxiliary battery monitoring sequence makes the subsequent timing analysis (such as charging efficiency evaluation, charging mode recognition, etc.) feasible and efficient.

[0078] Preferably, the steps of performing abnormal characteristic analysis on the original vehicle battery monitoring sequence and the auxiliary battery monitoring sequence respectively to obtain the abnormal characteristic of the original vehicle battery and the abnormal characteristic of the auxiliary battery include:

[0079] S41: performing a graph conversion process on the original vehicle battery monitoring sequence to obtain a power timing graph and a voltage timing graph corresponding to the original vehicle battery monitoring sequence;

[0080] S42: performing abnormal analysis based on the power time series graph and the voltage time series graph corresponding to the original vehicle battery monitoring sequence to obtain abnormal characteristics of the original vehicle battery;

[0081] S43: performing a graph conversion process on the secondary battery monitoring sequence to obtain a power timing graph and a voltage timing graph corresponding to the secondary battery monitoring sequence;

[0082] S44: performing abnormal analysis based on the power timing spectrum and the voltage timing spectrum corresponding to the secondary battery monitoring sequence to obtain the secondary battery abnormality characteristics.

[0083] Specifically, the power data in the original vehicle battery monitoring sequence is extracted, and a power time series graph is drawn with time as the horizontal axis and power (such as SOC, State of Charge) as the vertical axis. Similarly, the voltage data in the original vehicle battery monitoring sequence is extracted to generate a voltage time series graph, with time as the horizontal axis and voltage as the vertical axis.

[0084] More specifically, the generated power and voltage time series graphs are smoothed, such as using a moving average method or a filter, to remove noise, identify characteristic points in the graph, such as peaks, valleys, mutation points, etc., which may be indicators of anomalies, and use statistical methods (such as Z-score, standard deviation method), machine learning algorithms (such as isolation forest, SVM) or deep learning methods (such as LSTM) to analyze the extracted features and identify abnormal features.

[0085] More specifically, based on the analysis results, record the abnormal characteristics of the original vehicle battery, such as unstable voltage during charging, abnormal power changes, etc.

[0086] More specifically, the same processing is performed on the power data in the secondary battery monitoring sequence to generate a power time series map, the voltage data in the secondary battery monitoring sequence is extracted to generate a voltage time series map, the power and voltage time series maps of the secondary battery are smoothed to reduce the impact of noise, important feature points in the power and voltage maps are identified, and attention is paid to finding abnormal fluctuations or mutations. A similar anomaly detection algorithm is applied to analyze the power and voltage characteristics of the secondary battery, identify potential anomalies, and based on the detection results, record the abnormal characteristics of the secondary battery, such as excessive voltage, low charging efficiency, etc.

[0087] It is understandable that through graph conversion processing and abnormal analysis, the abnormal behavior of the battery during the charging process can be identified more accurately, the accuracy of detection can be greatly improved, the status of the original vehicle battery and the auxiliary battery can be monitored in real time, and abnormalities can be discovered in time. Early warnings can be issued to avoid potential failures and safety hazards, and decision support based on data analysis can be provided to help the battery management system optimize charging strategies and maintenance plans and reduce the occurrence of failures.

[0088] Preferably, the step of performing abnormal analysis and processing based on the power timing spectrum and the voltage timing spectrum corresponding to the original vehicle battery monitoring sequence to obtain the abnormal characteristics of the original vehicle battery includes:

[0089] S421: extracting features of the power growth amplitude of the original vehicle battery based on the power time series graph to obtain power growth features of the original vehicle battery at each moment;

[0090] S422: extracting characteristics of the voltage stability amplitude of the original vehicle battery based on the voltage time series spectrum to obtain voltage stability characteristics of the original vehicle battery at each moment;

[0091] S423: extracting abnormal features of the power growth features and voltage stability features of the original vehicle battery at each moment according to a preset standard, so as to obtain abnormal power growth features and voltage stability features of the original vehicle battery;

[0092] S424: performing correlation analysis on the power growth feature and the voltage stability feature to obtain charging correlation features of the original vehicle battery at each time;

[0093] S425: extracting abnormal features of the charging-related features of the original vehicle battery at each time according to a preset standard to obtain abnormal charging-related features of the original vehicle battery;

[0094] S426: Combine and process the abnormal characteristics of power growth, voltage stability, and charging-related abnormal characteristics of the original vehicle battery to obtain the abnormal characteristics of the original vehicle battery.

[0095] Specifically, the power data in the power time series graph is analyzed, the power growth amplitude at each time point (such as the power change between adjacent moments) is calculated, and the power growth characteristics of the original vehicle battery at each moment are recorded to form a power growth characteristic sequence.

[0096] More specifically, by analyzing the voltage data in the voltage time series diagram and calculating the voltage variation amplitude (such as the voltage variation between adjacent moments), the standard deviation of the voltage over a period of time can be calculated as an indicator of voltage stability. The voltage stability characteristics of the original vehicle battery at each moment are recorded to form a voltage stability characteristic sequence.

[0097] More specifically, the characteristics of power growth are analyzed according to preset standards (such as thresholds, statistical methods), abnormal values ​​are identified, and abnormal characteristics of power growth are extracted. Similarly, the characteristics of voltage stability are analyzed according to preset standards, abnormal values ​​are identified, and abnormal characteristics of voltage stability are extracted.

[0098] More specifically, a correlation analysis is performed on the distribution of power growth characteristics and voltage stability characteristics to explore the relationship between the two, such as using correlation coefficients or regression analysis, and the obtained charging-related characteristics are recorded to form a charging-related characteristic sequence. The charging-related characteristics are analyzed according to preset standards, abnormal values ​​are identified, and abnormal charging-related characteristics are extracted.

[0099] More specifically, the abnormal characteristics of power growth, voltage stability and charging-related abnormal characteristics are combined to form comprehensive abnormal characteristics of the original vehicle battery. The combined abnormal characteristics are further analyzed to identify potential failure modes or states.

[0100] It is understandable that through independent analysis and combination of power growth and voltage stability, the abnormal behavior of the original vehicle battery can be identified more accurately, the sensitivity and accuracy of detection can be improved, and the characteristic analysis of power and voltage can be combined to achieve multi-dimensional monitoring, enhance the comprehensive understanding of the battery status, and provide more comprehensive diagnostic information. By analyzing the abnormal data of the battery in the past charging history, the safety performance of the battery in executing various charging strategies during the subsequent charging process can be judged to determine the final charging strategy to be used.

[0101] Preferably, the step of performing abnormal analysis and processing based on the power timing spectrum and the voltage timing spectrum corresponding to the secondary battery monitoring sequence to obtain the abnormal characteristics of the secondary battery includes:

[0102] S441: extracting features of the power growth amplitude of the secondary battery based on the power time series graph to obtain power growth features of the secondary battery at each moment;

[0103] S442: extracting features of the voltage stability amplitude of the secondary battery based on the voltage time series graph to obtain voltage stability features of the secondary battery at each moment;

[0104] S443: extracting abnormal features of the power growth features and voltage stability features of the secondary battery at each moment according to a preset standard, so as to obtain abnormal power growth features and voltage stability features of the secondary battery;

[0105] S444: performing correlation analysis on the power growth feature and the voltage stability feature to obtain charging correlation features of the secondary battery at each time;

[0106] S445: extracting abnormal features of the charging-related features of the secondary battery at each time according to a preset standard to obtain abnormal charging-related features of the secondary battery;

[0107] S446: Combining and processing the abnormal characteristics of power growth, voltage stability, and charging-related abnormal characteristics of the secondary battery to obtain the abnormal characteristics of the secondary battery.

[0108] Specifically, the steps for extracting the abnormal features of the secondary battery are consistent with the steps for extracting the abnormal features of the original vehicle battery, so no unnecessary details will be given here.

[0109] Preferably, the step of performing a comprehensive analysis based on the charging balancing situation, the abnormal characteristics of the original vehicle battery and the abnormal characteristics of the auxiliary battery to obtain the charging strategy of the original vehicle battery and the auxiliary battery includes:

[0110] S51: analyzing and processing the charging balance of the original vehicle battery and the auxiliary battery according to the charging balance situation to obtain the charging balance index of the original vehicle battery and the auxiliary battery;

[0111] S52: Analyze the feasibility of a plurality of preset strategies according to the charging equalization index to obtain first feasibility parameters of the plurality of preset strategies;

[0112] S53: analyzing and processing the remaining charging amount of the original vehicle battery and the auxiliary battery according to the power dimension situation in the charging balancing situation to obtain the remaining charging amount of the original vehicle battery and the remaining charging amount of the auxiliary battery;

[0113] S54: analyzing and processing the real-time charging efficiency of the original vehicle battery and the auxiliary battery according to the voltage dimension situation in the charging balancing situation, to obtain the real-time charging efficiency of the original vehicle battery and the real-time charging efficiency of the auxiliary battery;

[0114] S55: performing a prediction process on the charging effects of the preset strategies according to the remaining charging amount and the real-time charging efficiency, obtaining expected effect characteristics of each preset strategy corresponding to a future time period, and performing effect evaluation based on the expected effect characteristics corresponding to each preset strategy, so as to obtain a second executable parameter of each preset strategy;

[0115] S56: performing a real-time charging performance characteristic analysis on the original vehicle battery according to the abnormal characteristics of the original vehicle battery to obtain the charging performance characteristics of the original vehicle battery;

[0116] S57: performing a real-time charging performance characteristic analysis on the secondary battery according to the abnormal characteristics of the secondary battery to obtain the charging performance characteristics of the secondary battery;

[0117] S58: analyzing the charging safety degree of each of the preset strategies according to the charging performance characteristics of the original vehicle battery and the charging performance characteristics of the auxiliary battery, and converting the charging safety degree obtained by the analysis into a third executable parameter corresponding to each of the preset strategies;

[0118] S59: Perform weighted calculation processing on the first executable parameter, the second executable parameter and the third executable parameter of each of the preset strategies to obtain the execution weight of each of the preset strategies, and use the preset strategy with the best execution weight as the charging strategy.

[0119] Specifically, the charging balance status of the original vehicle battery and the auxiliary battery is analyzed, the charging balance index is calculated, and the difference in charging status between the main battery and the auxiliary battery is determined to provide a basis for subsequent strategy formulation. The feasibility of several preset strategies is analyzed according to the charging balance index, and the first executable parameter is obtained to ensure the feasibility of the selected strategy under the current balance status.

[0120] More specifically, based on the status analysis of the power dimension, the remaining charging amount of the original vehicle battery and the auxiliary battery is analyzed, the charging potential of each battery is evaluated, and the charging distribution is optimized. According to the status analysis of the voltage dimension, the real-time charging efficiency of the original vehicle battery and the auxiliary battery is analyzed to understand the energy conversion efficiency in the current charging process, providing a basis for dynamic adjustment.

[0121] More specifically, by combining the remaining charging quota with the real-time charging efficiency, the charging effect of each preset strategy is predicted, the expected effect characteristics are obtained, the effect is evaluated, and the second executable parameter is obtained to quantify the actual impact of each strategy in the future time period and support the decision-making process.

[0122] More specifically, based on the abnormal characteristics of the original vehicle battery, a characteristic analysis of the real-time charging performance is performed to identify the charging limitations and potential risks of the original vehicle battery. Based on the abnormal characteristics of the secondary battery, a characteristic analysis of the real-time charging performance is performed to evaluate the charging capacity and health status of the secondary battery.

[0123] More specifically, according to the charging performance characteristics of the original vehicle battery and the auxiliary battery, the charging safety level of each preset strategy is analyzed to obtain a third executable parameter to ensure the safety and stability of the battery when implementing the strategy.

[0124] More specifically, the first, second and third executable parameters of each preset strategy are weightedly calculated to obtain the execution weight of each strategy. Multiple factors are comprehensively considered to provide a quantitative basis for strategy selection, and the preset strategy with the best execution weight is selected as the final charging strategy to ensure that the final selected charging strategy can achieve the best effect in actual implementation and improve charging efficiency and safety.

[0125] It can be understood that through balancing strategies and real-time monitoring, the overall efficiency of the charging process can be improved, potential charging risks can be identified and avoided, and the safety of the battery during the charging process can be ensured. By using data-driven methods, intelligent charging strategy selection based on real-time status can be provided. According to the real-time analysis results, the charging strategy can be flexibly adjusted to cope with different battery status and external conditions.

[0126] It should be noted that, in the technical solution of the present invention, the voltage of the original vehicle battery and the auxiliary battery is controlled by a preset 4-switch synchronous rectification BUCK / BOOST step-up / step-down DC / DC conversion controller.

[0127] Specifically, the conversion controller has a BUCK converter (step-down converter) and a BOOST converter (step-up converter), wherein the maximum output power of the BUCK converter is 1500W, the input current regulation is 0~100ADC ±3%, the output current regulation is 0~100ADC ±3%, the step-down voltage difference ratio is 2~25 times (VIN÷VOUT) (input voltage÷output voltage), and the maximum conversion efficiency is 98%.

[0128] More specifically, the maximum output power of the BOOST converter is 1200W, input current regulation is 0~100ADC ±3%, output current regulation is 0~80ADC ±3%, boost voltage dropout ratio is 2~5 times (VOUT÷VIN) (output voltage÷input voltage), and the maximum conversion efficiency is 95%.

[0129] More specifically, the common features of the BUCK converter and the BOOST converter include input voltage range: 9~75VDC ±1%, output voltage regulation: 2~75VDC ±1%, input undervoltage regulation: 0~75VDC ±1% hysteresis regulation 0~10V, input overvoltage regulation: 0~75VDC ±1% hysteresis regulation 0~10V, input voltage tracking regulation: 0~75VDC ±1%, start-up time: 0~999 seconds delayed start output, temperature control protection: turn on the fan at 45℃, turn off at ≤40℃; shut down at 90℃, restart at ≤60℃, operating temperature: -30~85℃, storage temperature: -40~105℃.

[0130] Preferably, the step of analyzing and processing the charging balance of the original vehicle battery and the auxiliary battery according to the charging balance situation to obtain the charging balance index of the original vehicle battery and the auxiliary battery includes:

[0131] S511: Analyze the possibility of power supply failure caused by charging the secondary battery of the original vehicle battery according to the charging balancing situation to obtain a first balancing index;

[0132] S512: Analyzing the possibility of reverse discharge of the auxiliary battery toward the original vehicle battery according to the charging balancing situation to obtain a second balancing index;

[0133] S513: Using the first balance index and the second balance index together as a charging balance index of the original vehicle battery and the auxiliary battery.

[0134] Specifically, the current power, charging status, usage load and historical fault data of the original vehicle battery are collected to evaluate the impact of the auxiliary battery on the power supply of the original vehicle battery, including the voltage and current characteristics of the auxiliary battery during charging. A statistical model or machine learning algorithm (such as logistic regression, random forest, etc.) is used to analyze the probability of failure of the original vehicle battery power supply caused by the charging of the auxiliary battery, and a first balance index is obtained, which indicates the potential impact of the auxiliary battery charging on the failure of the original vehicle battery power supply under the current charging balance situation.

[0135] More specifically, the voltage, charge state, and relative voltage difference of the secondary battery with the original vehicle battery are collected, and the possibility of reverse discharge of the secondary battery to the original vehicle battery under the current charging state is analyzed, including factors such as the internal resistance, temperature, and health state of the battery. A mathematical model (such as a circuit analysis model based on the relationship between current and voltage) is used to evaluate the risk of reverse discharge of the secondary battery, and a second balance index is obtained, which indicates the possibility of reverse discharge of the secondary battery under the current state.

[0136] More specifically, the first balance index and the second balance index are weighted and integrated, and a final charging balance index is calculated according to a preset weight coefficient, which comprehensively considers the impact of the auxiliary battery on the power supply of the original vehicle battery and the risk of reverse discharge of the auxiliary battery.

[0137] It can be understood that the risk of failure of the auxiliary battery charging to the original vehicle battery and the possibility of reverse discharge of the auxiliary battery are quantified, thereby providing a detailed risk assessment. The charging balance index provides data support for subsequent charging strategy adjustments and helps decision makers to formulate more scientific and reasonable charging plans. Through real-time monitoring and analysis of the charging balance index, the charging parameters can be dynamically adjusted, the charging process can be optimized, and the risk of power interruption can be reduced. By balancing the charging status of the main and auxiliary batteries, the overall stability and reliability of the system can be improved, and the battery life can be extended.

[0138] In a second aspect, the present invention provides an automobile charging control system for implementing an automobile charging control method as described in any one of the first aspects.

[0139] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A vehicle charging control method, characterized in that: include: Continuously collecting charging data of the original vehicle battery and the auxiliary battery to obtain the charging data of the original vehicle battery and the auxiliary battery at each moment; wherein the charging data includes the battery power and the charging voltage; Analyze the charging balance status of the original vehicle battery and the auxiliary battery according to the charging data of the original vehicle battery and the auxiliary battery at the current moment, and obtain the charging balance status of the original vehicle battery and the auxiliary battery; wherein the charging balance status includes the status of the power dimension and the status of the voltage dimension; Arranging and processing the charging data of the original vehicle battery and the charging data of the auxiliary battery at each moment in time order respectively, to obtain an original vehicle battery monitoring sequence of the original vehicle battery and an auxiliary battery monitoring sequence of the auxiliary battery; Performing abnormal characteristic analysis on the original vehicle battery monitoring sequence and the secondary battery monitoring sequence respectively, to obtain the original vehicle battery abnormal characteristic corresponding to the original vehicle battery and the secondary battery abnormal characteristic corresponding to the secondary battery; Performing a comprehensive analysis based on the charging balancing situation, the abnormal characteristics of the original vehicle battery, and the abnormal characteristics of the auxiliary battery to obtain a charging strategy for the original vehicle battery and the auxiliary battery; The steps of respectively analyzing the abnormal characteristics of the original vehicle battery monitoring sequence and the auxiliary battery monitoring sequence to obtain the abnormal characteristics of the original vehicle battery and the auxiliary battery include: Performing a graph conversion process on the original vehicle battery monitoring sequence to obtain a power timing graph and a voltage timing graph corresponding to the original vehicle battery monitoring sequence; Performing abnormal analysis based on the power time series graph and voltage time series graph corresponding to the original vehicle battery monitoring sequence to obtain the abnormal characteristics of the original vehicle battery; Performing a graph conversion process on the secondary battery monitoring sequence to obtain a power timing graph and a voltage timing graph corresponding to the secondary battery monitoring sequence; An abnormality analysis process is performed based on the power quantity time series diagram and the voltage time series diagram corresponding to the secondary battery monitoring sequence to obtain the abnormality characteristics of the secondary battery.

2. The vehicle charging control method according to claim 1, characterized in that: The steps of continuously collecting charging data of the original vehicle battery and the auxiliary battery to obtain the charging data of the original vehicle battery and the auxiliary battery at each moment include: Continuously collecting data on the battery power of the original vehicle battery to obtain the battery power of the original vehicle battery at each moment; Continuously collecting charging voltage data of the original vehicle battery to obtain the charging voltage of the original vehicle battery at each moment; Combining and processing the battery power and the charging voltage of the original vehicle battery at the same time, to obtain the original vehicle battery charging data of the original vehicle battery at each time; Continuously collecting data on the battery power of the secondary battery to obtain the battery power of the secondary battery at each moment; Continuously collecting data of the charging voltage of the secondary battery to obtain the charging voltage of the secondary battery at each moment; The battery power and the charging voltage of the secondary battery at the same time are combined and processed to obtain the secondary battery charging data of the secondary battery at each time.

3. The vehicle charging control method according to claim 1, characterized in that: The step of analyzing the charging balance status of the original vehicle battery and the auxiliary battery according to the current charging data of the original vehicle battery and the auxiliary battery to obtain the charging balance status of the original vehicle battery and the auxiliary battery includes: Comparing the battery power of the original vehicle battery and the secondary battery according to the charging data of the original vehicle battery and the charging data of the secondary battery, to obtain a battery power dimension situation; Comparing the charging voltages of the original vehicle battery and the auxiliary battery according to the charging data of the original vehicle battery and the charging data of the auxiliary battery to obtain a voltage dimension situation; The power dimension situation and the voltage dimension situation are combined and processed to obtain the charging balance situation of the original vehicle battery and the auxiliary battery.

4. The vehicle charging control method according to claim 1, characterized in that: The steps of arranging and processing the charging data of the original vehicle battery and the charging data of the auxiliary battery at each moment in time order to obtain the original vehicle battery monitoring sequence of the original vehicle battery and the auxiliary battery monitoring sequence of the auxiliary battery include: Constructing a time coordinate axis having a plurality of time nodes arranged in sequence; Constructing corresponding original vehicle battery data items and auxiliary battery data items based on each of the time nodes of the time coordinate axis; Substituting the original vehicle battery charging data at each time into the original vehicle battery data item at each time node in sequence to obtain the original vehicle battery monitoring sequence; The secondary battery charging data at each time is sequentially substituted into the secondary battery data item at each time node to obtain the secondary battery monitoring sequence.

5. The vehicle charging control method according to claim 1, characterized in that: The step of performing abnormal analysis and processing based on the power time series graph and the voltage time series graph corresponding to the original vehicle battery monitoring sequence to obtain the abnormal characteristics of the original vehicle battery includes: Based on the power time series graph, feature extraction is performed on the power growth amplitude of the original vehicle battery to obtain the power growth feature of the original vehicle battery at each moment; Extracting characteristics of the voltage stability amplitude of the original vehicle battery based on the voltage time series graph to obtain voltage stability characteristics of the original vehicle battery at various moments; According to preset standards, the power growth characteristics and voltage stability characteristics of the original vehicle battery at each moment are respectively subjected to abnormal feature extraction processing to obtain the power growth abnormality characteristics and voltage stability abnormality characteristics of the original vehicle battery; Performing correlation analysis on the power growth characteristics and the voltage stability characteristics to obtain charging correlation characteristics of the original vehicle battery at various times; Extracting abnormal features of the charging-related features of the original vehicle battery at each time according to a preset standard to obtain abnormal charging-related features of the original vehicle battery; The abnormal characteristics of power growth, voltage stability and charging-related abnormalities of the original vehicle battery are combined and processed to obtain the abnormal characteristics of the original vehicle battery.

6. The vehicle charging control method according to claim 1, characterized in that: The step of performing abnormal analysis and processing based on the power time series graph and the voltage time series graph corresponding to the secondary battery monitoring sequence to obtain the abnormal characteristics of the secondary battery includes: Extracting features of the power growth amplitude of the secondary battery based on the power time series graph to obtain power growth features of the secondary battery at each moment; Extracting characteristics of the voltage stability amplitude of the secondary battery based on the voltage time series graph to obtain voltage stability characteristics of the secondary battery at each moment; According to preset standards, the power growth characteristics and voltage stability characteristics of the secondary battery at each moment are respectively subjected to abnormal feature extraction processing to obtain abnormal power growth characteristics and abnormal voltage stability characteristics of the secondary battery; Performing correlation analysis on the power growth feature and the voltage stability feature to obtain charging correlation features of the secondary battery at various times; Extracting abnormal features of the charging-related features of the secondary battery at each time according to a preset standard to obtain abnormal charging-related features of the secondary battery; The abnormal characteristics of power growth, voltage stability and charging-related abnormality of the secondary battery are combined and processed to obtain the abnormal characteristics of the secondary battery.

7. The vehicle charging control method according to claim 1, characterized in that: The step of performing a comprehensive analysis based on the charging balancing situation, the abnormal characteristics of the original vehicle battery and the abnormal characteristics of the auxiliary battery to obtain the charging strategy of the original vehicle battery and the auxiliary battery includes: Performing charging balance analysis on the original vehicle battery and the auxiliary battery according to the charging balance situation to obtain charging balance indexes of the original vehicle battery and the auxiliary battery; Analyzing the executability of a plurality of preset strategies according to the charging equalization index to obtain first executability parameters of the plurality of preset strategies; Analyzing and processing the remaining charging amount of the original vehicle battery and the auxiliary battery according to the power dimension situation in the charging balancing situation to obtain the remaining charging amount of the original vehicle battery and the remaining charging amount of the auxiliary battery; Analyzing and processing the real-time charging efficiency of the original vehicle battery and the auxiliary battery according to the voltage dimension situation in the charging balancing situation, so as to obtain the real-time charging efficiency of the original vehicle battery and the real-time charging efficiency of the auxiliary battery; Predicting the charging effects of the preset strategies according to the remaining charging amount and the real-time charging efficiency to obtain expected effect characteristics of each preset strategy corresponding to a future time period, and performing effect evaluation based on the expected effect characteristics corresponding to each preset strategy to obtain a second executable parameter of each preset strategy; Performing a real-time charging performance characteristic analysis on the original vehicle battery according to the abnormal characteristics of the original vehicle battery to obtain the charging performance characteristics of the original vehicle battery; Performing a characteristic analysis of the real-time charging performance of the secondary battery according to the abnormal characteristics of the secondary battery to obtain the charging performance characteristics of the secondary battery; Analyzing the charging safety degree of each of the preset strategies according to the charging performance characteristics of the original vehicle battery and the charging performance characteristics of the auxiliary battery, and converting the charging safety degree obtained from the analysis into a third executable parameter corresponding to each of the preset strategies; The first executable parameter, the second executable parameter and the third executable parameter of each of the preset strategies are weightedly calculated to obtain the execution weight of each of the preset strategies, and the preset strategy with the best execution weight is used as the charging strategy.

8. The vehicle charging control method according to claim 7, characterized in that: The step of analyzing and processing the charging balance of the original vehicle battery and the auxiliary battery according to the charging balance situation to obtain the charging balance index of the original vehicle battery and the auxiliary battery includes: Analyze the possibility of power supply failure caused by charging the secondary battery of the original vehicle battery according to the charging balancing situation, and obtain a first balancing index; According to the charging balancing situation, the possibility of the auxiliary battery discharging back toward the original vehicle battery is analyzed to obtain a second balancing index; The first balance index and the second balance index are used together as the charging balance index of the original vehicle battery and the auxiliary battery.

9. An automobile charging control system, characterized in that: Used to implement an automobile charging control method as described in any one of claims 1-8.

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