Vehicle control method, electronic equipment and vehicle

Abstract

The invention provides a vehicle control method, electronic equipment and a vehicle, which are applied to the technical field of vehicle intelligent control, and the method comprises the following steps: in response to determining that a power battery is in a charge-discharge state, obtaining current state data of the power battery, and predicting future state data of the power battery based on the current state data; determining target future state data of each single battery according to the future state data, determining a health state of each single battery according to the target future state data to obtain a health state data set, and judging whether the power battery has a health risk or not according to the health state data set; and in response to determining that the power battery has the health risk, determining a target charging and discharging parameter of the power battery according to the target future state data, so as to charge and discharge the power battery based on the target charging and discharging parameter. The application ensures the use efficiency, safety and reliability of the power battery.

Description

Technical Field

[0001] The present application relates to the field of vehicle intelligent control technology, and in particular to a vehicle control method, electronic equipment and a vehicle. Background Art

[0002] The main function of power batteries is to provide driving energy for electric vehicles, and they are also the core of vehicle energy storage and management. Existing power battery technology is mainly based on lithium-ion batteries, which have advantages such as high energy density and long cycle life, but also have some inherent technical limitations. For example, the difficulty of thermal management will directly or indirectly affect the chemical reaction rate inside the battery, thereby affecting the energy utilization efficiency of the battery, resulting in shortened battery life, low charging and discharging efficiency, and battery failure. Summary of the invention

[0003] In view of this, the purpose of the present application is to provide a vehicle control method, an electronic device and a vehicle to extend the battery life, improve the charging efficiency and avoid battery failure.

[0004] Based on the above objectives, the present application provides a vehicle control method, comprising:

[0005] In response to determining that the power battery is in a charging and discharging state, acquiring current state data of the power battery, and predicting future state data of the power battery based on the current state data;

[0006] Determine target future state data of each single battery according to the future state data, and determine the health state of each single battery according to the target future state data to obtain a health state data set, and determine whether the power battery has a health risk according to the health state data set;

[0007] In response to determining that there is a health risk for the power battery, target charge and discharge parameters of the power battery are determined according to the target future state data, so as to charge and discharge the power battery based on the target charge and discharge parameters.

[0008] Based on the same inventive concept, the present application also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable by the processor, wherein the processor implements the method as described above when executing the computer program.

[0009] Based on the same inventive concept, the present application also provides a vehicle, which includes the above-mentioned electronic device.

[0010] As can be seen from the above, the vehicle control method, electronic device and vehicle provided by the present application, wherein the method includes: in response to determining that the power battery is in a charging and discharging state, obtaining the current state data of the power battery, and predicting the future state data of the power battery based on the current state data; determining the target future state data of each single cell according to the future state data, and determining the health state of each single cell according to the target future state data, obtaining a health state data set, and judging whether the power battery has a health risk according to the health state data set; in response to determining that the power battery has a health risk, determining the target charge and discharge parameters of the power battery according to the target future state data, so as to charge and discharge the power battery based on the target charge and discharge parameters. By predicting the future state data, and then determining the target future state data based on the future state data, and then evaluating the health state of each single cell to form a health state data set, it is possible to more accurately judge whether the power battery has a health risk. Compared with the traditional method of only monitoring the overall parameters of the power battery, the abnormal situation of the single cell can be accurately located, avoiding the safety hazards such as the deterioration of the performance of the entire power battery due to the failure to discover the single cell problem in time. When it is determined that there is a health risk in the power battery, the target charge and discharge parameters of the power battery are determined according to the target future state data. Charging and discharging the power battery accordingly can effectively avoid problems such as overcharging, over-discharging, and overheating that may be caused by using fixed charge and discharge parameters when the power battery is in a poor health state, thereby extending the service life of the power battery and improving the safety and reliability of the power battery. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the technical solutions in the present application or related technologies, the drawings required for use in the embodiments or related technical descriptions are briefly introduced below. Obviously, the drawings described below are only embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0012] Figure 1 This is a flow chart of a vehicle control method according to an embodiment of the present application;

[0013] Figure 2 A schematic diagram of a vehicle control method device according to an embodiment of the present application;

[0014] Figure 3 A schematic diagram of the hardware structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0015] In order to make the objectives, technical solutions and advantages of the present application more clearly understood, the present application is further described in detail below in combination with specific embodiments and with reference to the accompanying drawings.

[0016] It should be noted that, unless otherwise defined, the technical terms or scientific terms used in the embodiments of the present application should be the usual meanings understood by people with ordinary skills in the field to which the present application belongs. The "first", "second" and similar words used in the embodiments of the present application do not represent any order, quantity or importance, but are only used to distinguish different components. "Including" or "comprising" and similar words mean that the elements or objects appearing in front of the word cover the elements or objects listed after the word and their equivalents, without excluding other elements or objects. "Connect" or "connected" and similar words are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect. "Up", "down", "left", "right" and the like are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0017] As the global energy crisis and environmental problems become increasingly serious, electric vehicles, with their zero-emission and low-noise characteristics, have become one of the main directions to replace traditional fuel vehicles. However, the technical development of power batteries, the core component of electric vehicles, still faces many challenges. Their performance directly determines the vehicle's cruising range, charging efficiency and service life. Therefore, how to optimize the battery management system (BMS) has become a key issue in the development of electric vehicles. The main function of the power battery is to provide driving energy for electric vehicles, and it is also the core of vehicle energy storage and management. The existing power battery technology is mainly based on lithium-ion batteries, which have the advantages of high energy density and long cycle life, but also have some inherent technical limitations, such as difficult thermal management and significant environmental impact on charging and discharging performance. The performance of power batteries is affected by many factors, including but not limited to temperature, voltage, charging and discharging frequency, driving mode, ambient temperature, etc. These factors will directly or indirectly affect the chemical reaction rate inside the battery, thereby having an important impact on the battery's energy utilization efficiency, life and safety. For example, in a high temperature environment, the chemical reaction inside the battery intensifies, which may lead to overheating or even thermal runaway; while in a low temperature environment, the battery's energy output capacity will be significantly reduced, resulting in a shortened cruising range. In order to ensure the safety and reliability of electric vehicles, the power battery management system (BMS) needs to monitor the status of the battery in real time and dynamically adjust the charging and discharging strategy according to the operating conditions of the battery. The functions of BMS include battery status monitoring (such as battery voltage, current, temperature, etc.), energy distribution optimization, charging and discharging control, fault detection and early warning, etc. However, temperature changes in different battery cells may affect the performance and life of the entire battery pack. Traditional systems can usually only monitor the overall temperature of the battery pack and cannot accurately locate abnormalities in single cells. For example, when a single cell overheats, the system may not be able to detect it in time, causing the problem to worsen.

[0018] Based on the above problems, the applicant found that: in response to determining that the power battery is in a charge and discharge state, the current state data of the power battery is obtained, and the future state data of the power battery is predicted based on the current state data; the target future state data of each single cell is determined according to the future state data, and the health state of each single cell is determined according to the target future state data to obtain a health state data set, and whether the power battery has a health risk is determined according to the health state data set; in response to determining that the power battery has a health risk, the target charge and discharge parameters of the power battery are determined according to the target future state data, so as to charge and discharge the power battery based on the target charge and discharge parameters. By obtaining the current state data of the power battery and predicting the future state data, and then determining the target future state data of each single cell based on the future state data, and then evaluating the health state of each single cell to form a health state data set, it is possible to more accurately determine whether the power battery has a health risk. Compared with the traditional method of only monitoring the overall temperature of the battery pack, the abnormal situation of the single cell can be accurately located, avoiding the deterioration of the performance of the entire battery pack or even safety hazards due to the failure to discover the single cell problem in time. When it is determined that the power battery has a health risk, the target charge and discharge parameters of the power battery are determined according to the target future state data, and the power battery is charged and discharged accordingly. The method of dynamically adjusting the charge and discharge parameters based on the future state and health of the battery can effectively avoid problems such as overcharging, overdischarging, and overheating that may be caused by using a fixed charge and discharge mode when the battery is in a poor health state, thereby extending the battery life, improving the safety and reliability of the battery, and ensuring the overall performance and operation safety of the electric vehicle.

[0019] The embodiments of the present application are described in detail below with reference to the accompanying drawings.

[0020] The present application provides a vehicle control method, such as Figure 1 As shown, in some embodiments, the method is executed by a vehicle controller or a data processor independently provided by the vehicle controller, and the subsequent embodiments are all illustrated by taking the vehicle controller as an example. The vehicle includes a power battery, and the power battery includes a plurality of single cells; the method includes:

[0021] S101, in response to determining that the power battery is in a charging and discharging state, acquiring current state data of the power battery, and predicting future state data of the power battery based on the current state data;

[0022] In specific implementation, the vehicle's battery management system is used to detect whether the power battery is in a charging or discharging state. This can be achieved by monitoring the current direction of the battery. When current flows into the power battery, it indicates that the power battery is in a charging state; when current flows out of the power battery, it indicates that the power battery is in a discharging state. The power battery is composed of a plurality of single cells, and a plurality of single cells are connected in series or in parallel to form a battery pack to provide power for the vehicle. The current status data includes but is not limited to the voltage, current, hot spot area temperature, average temperature, SOC (State of Charge), etc. of each single cell in the power battery. In order to ensure the real-time and accuracy of the data, the current status data is usually collected at a higher frequency, such as once per second or once per minute. These data are transmitted to the control unit of the BMS in real time for processing. The future status data of the power battery is predicted based on the current status data, and the prediction of the future status data is achieved by establishing a mathematical model or a machine learning algorithm. Specifically, the charging and discharging status data of each single cell in the power battery under different working conditions are collected, and the data is preprocessed to remove noise and outliers in the data. For example, erroneous data caused by sensor failure is eliminated, and the data is normalized to the same dimension, such as normalizing temperature, voltage and other data to between 0 and 1, so that the model can better process it. A suitable machine learning algorithm is selected. Common models include long short-term memory networks (LSTM) and recurrent neural networks (RNN). These models can process time series data and capture changes in battery status over time. The preprocessed data is input into the selected model for training. By adjusting the parameters of the model (such as weights and biases), the model can better fit the training data. The trained model is deployed to the vehicle. When the current status data of the power battery is obtained, the future status data can be output based on the current status data, and the future status data of several minutes to several hours can usually be predicted.

[0023] S102, determining target future state data of each single battery according to the future state data, and determining the health state of each single battery according to the target future state data to obtain a health state data set, and judging whether the power battery has a health risk according to the health state data set;

[0024] In specific implementation, the future state data of the power battery is a data set. The power battery includes multiple single cells. Therefore, the future state data includes the data of each single cell, that is, the target future state data of each single cell. The target future state data of each single cell is extracted from the future state data, and the health state of each single cell is determined according to the target future state data, and divided into different health levels (such as high-risk state, low-risk state, and safe state) to obtain a health state data set. The health state data set consists of the health states of all single cells, which can be further divided into the following subsets: a high-risk data subset, which includes all single cells with high-risk health states; a low-risk data subset, which includes all single cells with low-risk health states; and a safe data subset, which includes all single cells with safe health states. Generally, if the high-risk data subset is not empty (that is, there are high-risk single cells), it indicates that there is a health risk in the power battery. If the high-risk data subset is empty, but the low-risk data subset is not empty (i.e., there are no high-risk single cells, but there are low-risk single cells), the number and distribution of low-risk single cells are further analyzed. If both the high-risk data subset and the low-risk data subset are empty (i.e., all single cells are in a safe state), it indicates that there is no health risk to the power battery.

[0025] S103: In response to determining that the power battery has a health risk, determine target charge and discharge parameters of the power battery according to the target future state data, so as to charge and discharge the power battery based on the target charge and discharge parameters.

[0026] In specific implementation, when it is determined that there is a health risk in the power battery, the target charge and discharge parameters are determined according to the target future state data of the single cell. For example, the target charge and discharge current of the single cell is determined according to the target future state data of the single cell. The target future state data includes but is not limited to the hot spot area temperature and the average temperature. If the hot spot area temperature of the single cell is too high, it may cause the risk of thermal runaway. At this time, a target charge and discharge current lower than the current charge and discharge current is determined, and the single cell is charged and discharged based on the target charge and discharge current to reduce the heat generation inside the single cell. If the average temperature of the single cell is too high, it may affect the life and performance of the battery. At this time, a target charge and discharge current lower than the current charge and discharge current is determined, and the single cell is charged and discharged based on the target charge and discharge current. At the same time, the heat dissipation system (such as a fan or liquid cooling system) can be started to reduce the average temperature of the single cell and avoid the overall health risks of the power battery.

[0027] In this embodiment, the future state data of the power battery is predicted by the current state data of the power battery. The future state data includes the target future state data of each single cell. The health state of each single cell is determined according to the target future state data, so as to judge whether the power battery has health risks, which can more accurately reflect the actual safety state of the power battery. Based on the prediction of future state data, possible health risks can be discovered in advance to achieve active management. Through multi-level analysis of high risk, low risk and safe state, the accuracy and comprehensiveness of the judgment results are ensured, thereby effectively improving the safety and reliability of the power battery and extending the battery life.

[0028] In some embodiments, the target future state data includes the hot spot area temperature and the average temperature of the single cell. The determining the health state of each single cell according to the target future state data includes:

[0029] Determine a first integral of the single cell according to the temperature of the hot spot area;

[0030] In specific implementation, the hot spot area temperature refers to the area with the highest temperature inside the single cell, which is usually the place with the greatest risk of thermal runaway. The hot spot area temperature reflects the state of the single cell under high load or uneven heat dissipation conditions. The average temperature refers to the average temperature level of the single cell as a whole, and the average temperature reflects the overall thermal management effect and working environment of the single cell. The first integral of the single cell is determined based on the hot spot area temperature. If the hot spot area temperature is lower than a certain safety threshold, the first integral is lower. If the hot spot area temperature is higher than a certain danger threshold, the first integral is higher.

[0031] Determine a second integral of the single battery according to the average temperature;

[0032] In specific implementation, different integral levels are set according to the average temperature to reflect the overall thermal management effect of the single cell. That is, if the average temperature is lower than a certain safety threshold, the second integral is lower. If the average temperature is higher than a certain danger threshold, the second integral is higher. By calculating the first integral and the second integral, the temperature-related risk of the single cell can be quantified.

[0033] Determine the sum of the first integral and the second integral as a state score;

[0034] In specific implementation, the status score is obtained by adding the first score and the second score, and is used to comprehensively evaluate the health status of the single battery. Status score = first score + second score. The score reflects the comprehensive risk of the single battery in the future state.

[0035] In response to determining that the status score is greater than a first preset score, determining that the single battery is in a high-risk state;

[0036] In specific implementation, the first preset score is used to distinguish high-risk states, and is usually set to a higher threshold. If the state score is greater than the first preset score, it indicates that the single cell has serious temperature-related problems, which may lead to thermal runaway or rapid aging, and the single cell is considered to be in a high-risk state.

[0037] In response to determining that the status score is less than or equal to a first preset score and greater than a second preset score, determining that the single cell battery is in a low risk state;

[0038] In specific implementation, the second preset score is used to distinguish between low-risk and safe states, and is usually set to a lower threshold. If the state score is less than or equal to the first preset score and greater than the second preset score, it indicates that the single cell has certain temperature-related problems, but the risk is relatively low, and the single cell is considered to be in a low-risk state.

[0039] In response to determining that the status score is less than or equal to a second preset score, the single battery is determined to be in a safe state, wherein the first preset score is greater than the second preset score.

[0040] In specific implementation, if the status score is less than or equal to the second preset score, it indicates that the temperature management of the single battery is good, the operation is stable, there is no obvious risk, and the single battery is considered to be in a safe state. The first preset score is greater than the second preset score to ensure that the identification of high-risk states is more stringent.

[0041] In this embodiment, the hot spot area temperature and average temperature of the single cell battery are analyzed, the status score is calculated, and the temperature-related risks of the single cell battery are accurately quantified. Based on the preset scoring criteria, the health status of the single cell battery is divided into three levels: high risk, low risk and safe, thereby effectively improving the health management level of the power battery and providing strong support for the safety and performance of electric vehicles.

[0042] In some embodiments, the health status data set includes a high-risk data subset, a low-risk data subset, and a safe data subset; and judging whether the power battery has a health risk according to the health status data set includes:

[0043] In response to the high-risk data subset being not an empty set, determining that the power battery has a health risk;

[0044] In specific implementation, the health status data set is a summary of the health status of all cells in the power battery, reflecting the overall health status of the power battery. The health status of the cell is evaluated by analyzing its target future state data and classified into high-risk data subset, low-risk data subset and safe data subset. The high-risk data subset contains all cells with a "high-risk" health status. The high-risk status is usually caused by the excessive temperature of the hot spot area of ​​the cell, which may cause local thermal runaway, or abnormal fluctuation of the SOC of the cell, which may cause overcharging or over-discharging; high-risk cells pose a direct threat to the safety and performance of the power battery. The low-risk data subset contains all cells with a "low-risk" health status. The low-risk status indicates that the cell has certain performance or health problems, but the problem is not serious enough to threaten the entire power battery. For example: the temperature of the cell is slightly higher than the normal range, but does not reach the dangerous threshold, and the SOC of the cell fluctuates greatly, but is still within the controllable range. The safe data subset contains all cells with a "safe" health status. The safe status indicates that the cell operates normally without abnormalities or health problems. For example, the temperature and SOC of the single cell are within the normal range, the performance of the single cell is stable, and there are no obvious signs of aging. Through classification, the health status data set can fully reflect the health status of all single cells in the power battery, providing a basis for subsequent health risk judgment. Therefore, if the high-risk data subset is not empty, it indicates that at least one single cell in the power battery is in a high-risk state, and it is judged that the power battery has a health risk.

[0045] In response to the high-risk data subset being an empty set and the low-risk data subset being not an empty set, the number of elements in the low-risk data subset is determined, and whether the power battery has a health risk is determined according to the number of elements.

[0046] In specific implementation, if the high-risk data subset is empty, it indicates that there are no high-risk cells in the power battery. However, if the low-risk data subset is not empty, it indicates that there are a certain number of cells in the power battery that are in a low-risk state. Although low-risk cells will not immediately threaten the safety of the power battery, if there are a large number or abnormal distribution, they may have an adverse effect on the long-term performance and life of the power battery. Therefore, it is judged whether the power battery has a health risk based on the number of elements.

[0047] In this embodiment, according to the judgment result of the health risk of the single cell in the power battery, it is possible to accurately judge whether the power battery has a health risk, so as to adjust the charging and discharging strategy in real time to ensure the efficient and safe operation of the power battery. Through the analysis of quantity and distribution, the potential impact of low-risk single cells on the power battery is comprehensively evaluated, which can significantly improve the health management level of the power battery and provide a strong guarantee for the safety and reliability of electric vehicles.

[0048] In some embodiments, judging whether the power battery has a health risk according to the amount of the element includes:

[0049] In response to determining that the number of elements is greater than a preset number, determining the single cell corresponding to the low-risk data subset as a target single cell, determining position data of the target single cell, and judging whether the target single cell meets a preset distribution condition based on the position data;

[0050] In specific implementation, if the number of low-risk single cells exceeds a preset number (exemplarily, the preset number can be set to 30% of the total number of single cells in the power battery), it indicates that a certain number of single cells are overheated, and the single cells corresponding to the low-risk data subset are determined as target single cells, and the distribution of the target single cells is analyzed. If the positions of the target single cells are relatively dispersed, thermal runaway will not occur even if there is a certain overheating situation. However, if the positions of the target single cells are compact, the accumulation of heat will cause thermal runaway of the entire power battery, affecting the health of the battery. Therefore, it is necessary to determine the position data of the target single cells, and based on the position data, determine whether the target single cells meet the preset distribution conditions. If the preset distribution conditions are met, it indicates that the positions of the target single cells are compact and the power battery is at risk of thermal runaway. If the preset distribution conditions are not met, it indicates that the positions of the target single cells are relatively dispersed and the power battery is not at risk of thermal runaway.

[0051] In response to determining that the target single battery cell meets a preset distribution condition, determining that the power battery cell has a health risk;

[0052] In specific implementation, by analyzing the spatial distribution of the target single cells through their position data, potential problems inside the power battery can be identified. If the target single cells are compactly located, it indicates that there are problems with the thermal management or energy management of the target single cells in a certain area of ​​the power battery. If the target single cells meet the preset distribution conditions, the power battery is considered to have health risks.

[0053] In response to determining that the target single battery does not meet the preset distribution condition, determining that the power battery does not have a health risk;

[0054] In specific implementation, the spatial distribution of the target single battery is analyzed through the location data to identify potential problems inside the power battery. If the location of the target single battery is relatively scattered, it means that although there are a large number of target single batteries in a low-risk state, their distribution is relatively loose, which has little impact on the overall performance of the power battery. If the target single battery does not meet the preset distribution conditions, the power battery is considered to have no health risks.

[0055] In response to determining that the number of elements is less than or equal to a preset number, it is determined that there is no health risk to the power battery.

[0056] In specific implementation, if the number of low-risk single cells is less than or equal to a preset number, the power battery is considered to pose no health risk, because a small number of low-risk single cells have limited impact on the overall performance of the power battery and usually do not cause serious problems.

[0057] In this embodiment, the number and spatial distribution of single cells in a low-risk state are analyzed to ensure the comprehensiveness of the judgment. When the number of single cells in a low-risk state is large and the distribution is relatively compact, it is determined that the power battery has a health risk, ensuring a more accurate judgment of the overall health risk of the power battery, avoiding misjudgment, and improving the flexibility of the system. By presetting the distribution conditions, the potential health problems of the power battery can be accurately identified to ensure the safety and reliability of the battery.

[0058] In some embodiments, judging whether the target single battery meets a preset distribution condition based on the position data includes:

[0059] determining an average distance between target single cells based on the position data;

[0060] In specific implementation, in the power battery, each single cell has its fixed position. These positions can be determined by the physical layout of the power battery. For example, the power battery can be a two-dimensional or three-dimensional array, and the position data of each single cell can be represented by coordinates (such as rows and columns). If the power battery is a two-dimensional layout, the position data of each single cell can be represented by two-dimensional coordinates (x, y). If the power battery is a three-dimensional layout, the position data of each single cell can be represented by three-dimensional coordinates (x, y, z). These position data can be pre-stored by the battery management system (BMS) or detected in real time by sensors. Therefore, the coordinates of each target single cell are determined first, and the distance between each two adjacent target single cells can be determined based on the coordinates of each target single cell, and the average of multiple distances is taken to obtain the average distance between all target single cells.

[0061] In response to determining that the average distance is greater than or equal to a preset average distance, determining that the target single battery cell does not satisfy a preset distribution condition;

[0062] In a specific implementation, when the average distance between the target single cells is greater than or equal to a preset average distance (exemplarily, the preset average distance may be set to 20 cm), it indicates that the target single cells are distributed more dispersedly, and it is determined that the target single cells do not meet the preset distribution condition.

[0063] In response to determining that the average distance is less than a preset average distance, it is determined that the target single battery cell meets a preset distribution condition.

[0064] In a specific implementation, when the average distance between the target single cells is less than the preset average distance, it indicates that the target single cells are distributed more concentratedly, and it is determined that the target single cells meet the preset distribution condition.

[0065] In this embodiment, by evaluating the distribution of target single cells based on location data, the health risks of the power battery can be accurately identified so as to timely optimize the charging and discharging strategies, improve the adaptability and flexibility of the battery management system, extend the service life of the power battery, enhance the safety of the power battery, reduce maintenance costs, and improve user experience.

[0066] In some embodiments, determining the first integral of the single battery according to the temperature of the hot spot area includes:

[0067] In response to determining that the hot spot area temperature is less than a first area temperature threshold, determining a first preset value as the first integral;

[0068] In specific implementation, the hot spot area temperature refers to the area with the highest temperature inside the single cell, which is usually the place with the greatest risk of thermal runaway. The first area temperature threshold is a lower temperature threshold used to distinguish between normal temperature and slight overheating. For example, it can be set as the upper limit of the safe operating temperature of the single cell. When the hot spot area temperature is less than the first area temperature threshold, it indicates that the temperature of the single cell is within a safe range and the risk of thermal runaway is low. A lower first preset value (exemplarily, the first preset value can be set to 1) is determined as the first integral.

[0069] In response to determining that the temperature of the hot spot area is greater than or equal to a first area temperature threshold and less than a second area temperature threshold, determining a second preset value as the first integral;

[0070] In specific implementation, the second area temperature threshold is a higher temperature threshold used to distinguish between slight overheating and severe overheating. For example, it can be set as the upper limit of the dangerous temperature of the single cell. Through the first area temperature threshold and the second area temperature threshold, the temperature of the hot spot area can be divided into three levels: normal temperature, slight overheating and severe overheating. When the temperature of the hot spot area is greater than or equal to the first area temperature threshold and less than the second area temperature threshold, it indicates that the temperature of the single cell is in a slight overheating state and the risk of thermal runaway increases. A higher second preset value (exemplarily, the second preset value can be set to 2) is determined as the first integral.

[0071] In response to determining that the temperature of the hot spot area is greater than or equal to the second area temperature threshold, a third preset value is determined as the first integral; wherein the first preset value is less than the second preset value, the second preset value is less than the third preset value, and the second area temperature threshold is greater than the first area temperature threshold.

[0072] In specific implementation, when the temperature of the hot spot area is greater than or equal to the temperature threshold of the second area, it indicates that the temperature of the single cell is in a serious overheating state, and the risk of thermal runaway is significantly increased. The highest third preset value (exemplarily, the third preset value can be set to 3) is determined as the first integral. The first preset value is less than the second preset value, and the second preset value is less than the third preset value, which ensures that the higher the temperature, the larger the integral value, and the higher the risk reflected. For example, assume that the temperature threshold of the first area is 60°C and the temperature threshold of the second area is 80°C. If the temperature of the hot spot area is less than 60°C, the first integral is determined to be 1 (first preset value). If the temperature of the hot spot area is between 60°C and 80°C, the first integral is determined to be 2 (second preset value). If the temperature of the hot spot area is greater than or equal to 80°C, the first integral is determined to be 3 (third preset value).

[0073] In this embodiment, the temperature of the hot spot area of ​​the single cell is graded and the integral value is determined to ensure the refinement of the assessment. The corresponding integral value is determined according to the temperature level, and the thermal runaway risk of the single cell is quantified, which is convenient for comprehensive assessment and effectively improves the health management level of the power battery.

[0074] In some embodiments, determining the second integral of the single battery according to the average temperature includes:

[0075] In response to determining that the average temperature is less than a first average temperature threshold, determining a fourth value as the second integral;

[0076] In specific implementation, the average temperature is the temperature level of the entire single cell, which is usually calculated by averaging the data of multiple temperature sensors inside the battery. Unlike the temperature in the hot spot area, the average temperature reflects the thermal state of the entire single cell. The average temperature can reflect the heat dissipation capacity and thermal management effect of the single cell. If the average temperature is too high, it may indicate that the heat dissipation efficiency of the battery is insufficient. The chemical reaction rate of a single cell that is at a high temperature for a long time will accelerate, resulting in accelerated capacity decay and affecting the battery life. Although the average temperature does not directly reflect the local hot spot problem, when the average temperature is too high, the risk of thermal runaway of the entire battery pack will also increase. The first average temperature threshold is a lower temperature threshold used to distinguish between normal temperature and slight overheating. For example, it can be set to the upper limit of the optimal operating temperature of the single cell (such as 40°C). When the average temperature is less than the first average temperature threshold, it indicates that the overall temperature of the single cell is within a safe range, the thermal management effect is good, and the risk is low. A lower fourth value (exemplarily, the fourth preset value can be set to 1) is determined as the second integral.

[0077] In response to determining that the average temperature is greater than or equal to a first average temperature threshold and less than a second average temperature threshold, determining a fifth value as the second integral;

[0078] In specific implementation, the second average temperature threshold is a higher temperature threshold used to distinguish between slight overheating and severe overheating. For example, it can be set to the upper limit of the safe operating temperature of the single cell (such as 60°C). When the average temperature is greater than or equal to the first average temperature threshold and less than the second average temperature threshold, it indicates that the overall temperature of the single cell is slightly higher than the safety range, but has not yet reached a dangerous level, and there is a certain risk. A higher fifth value (exemplarily, the fifth preset value can be set to 2) is determined as the second integral.

[0079] In response to determining that the average temperature is greater than or equal to a second average temperature threshold, a sixth value is determined as the second integral; wherein the fourth value is less than the fifth value, the fifth value is less than the sixth value, and the second average temperature threshold is greater than the first average temperature threshold.

[0080] In specific implementation, when the average temperature is greater than or equal to the second average temperature threshold, it indicates that the overall temperature of the single cell is in a dangerous range, the heat dissipation is insufficient, and there is a high risk of thermal runaway. The highest sixth value (exemplarily, the sixth preset value can be set to 3) is determined as the second integral. The fourth value is less than the fifth value, and the fifth value is less than the sixth value, which ensures that the higher the average temperature, the larger the integral value, and the higher the risk reflected. For example, assume that the first average temperature threshold is 40°C and the second average temperature threshold is 60°C. If the average temperature is less than 40°C, the second integral is determined to be 1 (fourth value). If the average temperature is between 40°C and 60°C, the second integral is determined to be 2 (fifth value). If the average temperature is greater than or equal to 60°C, the second integral is determined to be 3 (sixth value). By setting the first average temperature threshold and the second average temperature threshold, the average temperature can be divided into three intervals, corresponding to low risk, medium risk and high risk, respectively.

[0081] In this embodiment, the overall thermal state of the single cell is evaluated by grading the average temperature of the single cell and determining the integral value, which makes up for the deficiency that the temperature of the hot spot area cannot reflect the overall situation. The risk corresponding to the average temperature is quantified as an integral value to provide data support for the subsequent health status assessment. By real-time monitoring and predicting the average temperature, the charging and discharging strategy is dynamically adjusted to ensure the safety and reliability of the single cell.

[0082] In some embodiments, the target charge and discharge parameters include target charge and discharge currents; and determining the target charge and discharge parameters of the power battery according to the target future state data, so as to charge and discharge the power battery based on the target charge and discharge parameters, comprises:

[0083] In response to determining that a single cell in the power battery is in a high-risk state or a low-risk state, a current adjustment coefficient is determined based on the hot spot area temperature and the average temperature of the single cell, the product of the current adjustment coefficient and the current charge and discharge current of the single cell is determined as a target charge and discharge current, and the single cell is charged and discharged based on the target charge and discharge current.

[0084] In a specific implementation, when it is determined that a single cell in the power battery is in a high-risk state or a low-risk state, the current adjustment coefficient is determined according to the hot spot area temperature and the average temperature. The current adjustment coefficient is a value between 0 and 1, which is used to adjust the current charge and discharge current. If the temperature of the hot spot area is higher, the current adjustment coefficient is smaller to reduce the charge and discharge current and reduce heat generation. If the average temperature is higher, the current adjustment coefficient should also be smaller to reduce the charge and discharge current and avoid overheating. Exemplarily, the current adjustment coefficient can be calculated according to the following formula Wherein, T represents the current adjustment coefficient, A represents the temperature of the hot spot area, A1 represents the first area temperature threshold, B represents the average temperature, B1 represents the first average temperature threshold, and e represents a natural constant. The product of the current adjustment coefficient and the current charge and discharge current of the single cell is determined as the target charge and discharge current, that is, the target charge and discharge current = current adjustment coefficient × current charge and discharge current, and the single cell is charged and discharged based on the target charge and discharge current.

[0085] In this embodiment, by dynamically adjusting the charge and discharge current, the battery safety risks caused by overheating and other problems are avoided, and the safety of the power battery is significantly improved. By adjusting the charge and discharge current, the uneven aging of the battery is reduced, and the overall life of the battery pack is further extended. Dynamically adjusting the charge and discharge current can ensure that the battery operates in the best working state, improve the energy utilization efficiency of the battery, and enhance the performance of the entire vehicle.

[0086] It should be noted that the method of the embodiment of the present application can be performed by a single device, such as a computer or server. The method of this embodiment can also be applied to a distributed scenario and completed by multiple devices cooperating with each other. In the case of such a distributed scenario, one of the multiple devices can only perform one or more steps in the method of the embodiment of the present application, and the multiple devices will interact with each other to complete the described method.

[0087] It should be noted that the above describes some embodiments of the present application. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the above embodiments and still achieve the desired results. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0088] Based on the same inventive concept, corresponding to any of the above-mentioned embodiment methods, the present application also provides a vehicle control device.

[0089] refer to Figure 2 , the vehicle control device comprises:

[0090] an acquisition module 701, configured to acquire current state data of the power battery in response to determining that the power battery is in a charging and discharging state, and predict future state data of the power battery based on the current state data;

[0091] A judgment module 702 is configured to determine target future state data of each single battery according to the future state data, and determine the health state of each single battery according to the target future state data, to obtain a health state data set, and to judge whether the power battery has a health risk according to the health state data set;

[0092] The control module 703 is configured to, in response to determining that the power battery has a health risk, determine target charge and discharge parameters of the power battery according to the target future state data, so as to charge and discharge the power battery based on the target charge and discharge parameters.

[0093] Furthermore, the judging module 702 is further configured to:

[0094] Determine a first integral of the single cell according to the temperature of the hot spot area;

[0095] Determine a second integral of the single battery according to the average temperature;

[0096] Determine the sum of the first integral and the second integral as a state score;

[0097] In response to determining that the status score is greater than a first preset score, determining that the single battery is in a high-risk state;

[0098] In response to determining that the status score is less than or equal to a first preset score and greater than a second preset score, determining that the single cell battery is in a low risk state;

[0099] In response to determining that the status score is less than or equal to a second preset score, the single battery is determined to be in a safe state, wherein the first preset score is greater than the second preset score.

[0100] Furthermore, the judging module 702 is further configured to:

[0101] In response to the high-risk data subset being not an empty set, determining that the power battery has a health risk;

[0102] In response to the high-risk data subset being an empty set and the low-risk data subset being not an empty set, the number of elements in the low-risk data subset is determined, and whether the power battery has a health risk is determined according to the number of elements.

[0103] Furthermore, the judging module 702 is further configured to:

[0104] In response to determining that the number of elements is greater than a preset number, determining the single cell corresponding to the low-risk data subset as a target single cell, determining position data of the target single cell, and judging whether the target single cell meets a preset distribution condition based on the position data;

[0105] In response to determining that the target single battery cell meets a preset distribution condition, determining that the power battery cell has a health risk;

[0106] In response to determining that the target single battery does not meet the preset distribution condition, determining that the power battery does not have a health risk;

[0107] In response to determining that the number of elements is less than or equal to a preset number, it is determined that there is no health risk to the power battery.

[0108] Furthermore, the judging module 702 is further configured to:

[0109] determining an average distance between target single cells based on the position data;

[0110] In response to determining that the average distance is greater than or equal to a preset average distance, determining that the target single battery cell does not meet a preset distribution condition;

[0111] In response to determining that the average distance is less than a preset average distance, it is determined that the target single battery cell meets a preset distribution condition.

[0112] Furthermore, the determination module 702 is specifically configured to:

[0113] In response to determining that the hot spot area temperature is less than a first area temperature threshold, determining a first preset value as the first integral;

[0114] In response to determining that the temperature of the hot spot area is greater than or equal to a first area temperature threshold and less than a second area temperature threshold, determining a second preset value as the first integral;

[0115] In response to determining that the hot spot area temperature is greater than or equal to the second area temperature threshold, determining a third preset value as the first integral;

[0116] The first preset value is smaller than the second preset value, the second preset value is smaller than the third preset value, and the temperature threshold of the second area is larger than the temperature threshold of the first area.

[0117] Furthermore, the determination module 702 is specifically configured to:

[0118] In response to determining that the average temperature is less than a first average temperature threshold, determining a fourth value as the second integral;

[0119] In response to determining that the average temperature is greater than or equal to a first average temperature threshold and less than a second average temperature threshold, determining a fifth value as the second integral;

[0120] In response to determining that the average temperature is greater than or equal to a second average temperature threshold, determining a sixth value as the second integral;

[0121] The fourth value is smaller than the fifth value, the fifth value is smaller than the sixth value, and the second average temperature threshold is greater than the first average temperature threshold.

[0122] Furthermore, the control module 703 is specifically used for:

[0123] In response to determining that a single cell in the power battery is in a high-risk state or a low-risk state, a current adjustment coefficient is determined based on the hot spot area temperature and the average temperature of the single cell, the product of the current adjustment coefficient and the current charge and discharge current of the single cell is determined as a target charge and discharge current, and the single cell is charged and discharged based on the target charge and discharge current.

[0124] For the convenience of description, the above device is described in terms of functions divided into various modules. Of course, when implementing the present application, the functions of each module can be implemented in the same or multiple software and / or hardware.

[0125] The device of the above embodiment is used to implement the corresponding vehicle control method in any of the above embodiments, and has the beneficial effects of the corresponding method embodiment, which will not be repeated here.

[0126] Based on the same inventive concept, corresponding to any of the above-mentioned embodiments and methods, the present application also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the vehicle control method described in any of the above embodiments is implemented.

[0127] Figure 3 A more specific schematic diagram of the hardware structure of an electronic device provided in this embodiment is shown, and the device may include: a processor 1010, a memory 1020, an input / output interface 1030, a communication interface 1040, and a bus 1050. The processor 1010, the memory 1020, the input / output interface 1030, and the communication interface 1040 are connected to each other through the bus 1050 in the device.

[0128] The processor 1010 can be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of this specification.

[0129] The memory 1020 may be implemented in the form of ROM (Read Only Memory), RAM (Random Access Memory), static storage device, dynamic storage device, etc. The memory 1020 may store an operating system and other application programs. When the technical solutions provided in the embodiments of this specification are implemented by software or firmware, the relevant program codes are stored in the memory 1020 and are called and executed by the processor 1010.

[0130] The input / output interface 1030 is used to connect the input / output module to realize information input and output. The input / output module can be configured in the device as a component (not shown in the figure), or it can be externally connected to the device to provide corresponding functions. The input device may include a keyboard, a mouse, a touch screen, a microphone, various sensors, etc., and the output device may include a display, a speaker, a vibrator, an indicator light, etc.

[0131] The communication interface 1040 is used to connect a communication module (not shown) to realize communication interaction between the device and other devices. The communication module can realize communication through a wired mode (such as USB, network cable, etc.) or a wireless mode (such as mobile network, WIFI, Bluetooth, etc.).

[0132] The bus 1050 includes a path that transmits information between the various components of the device (eg, the processor 1010, the memory 1020, the input / output interface 1030, and the communication interface 1040).

[0133] It should be noted that, although the above device only shows the processor 1010, the memory 1020, the input / output interface 1030, the communication interface 1040 and the bus 1050, in the specific implementation process, the device may also include other components necessary for normal operation. In addition, it can be understood by those skilled in the art that the above device may also only include the components necessary for implementing the embodiments of the present specification, and does not necessarily include all the components shown in the figure.

[0134] The electronic device of the above embodiment is used to implement the corresponding vehicle control method in any of the above embodiments, and has the beneficial effects of the corresponding method embodiment, which will not be repeated here.

[0135] Based on the same inventive concept, corresponding to any of the above-mentioned embodiment methods, the present application also provides a non-transitory computer-readable storage medium, wherein the non-transitory computer-readable storage medium stores computer instructions, and the computer instructions are used to enable the computer to execute the vehicle control method described in any of the above embodiments.

[0136] The computer-readable medium of this embodiment includes permanent and non-permanent, removable and non-removable media, and information storage can be implemented by any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, read-only compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, tape disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device.

[0137] The computer instructions stored in the storage medium of the above embodiments are used to enable the computer to execute the vehicle control method described in any of the above embodiments, and have the beneficial effects of the corresponding method embodiments, which will not be repeated here.

[0138] Based on the same concept, corresponding to any of the above-mentioned embodiment methods, the present application also provides a computer program product, including computer program instructions. When the computer program instructions are run on a computer, the computer executes the method described in any of the above embodiments, which has the beneficial effects of the corresponding method embodiments and will not be repeated here.

[0139] It is understandable that before using the technical solutions of each embodiment of the present disclosure, the type, scope of use, usage scenarios, etc. of the personal information involved will be informed to the user in an appropriate manner, and the user's authorization will be obtained.

[0140] For example, in response to receiving an active request from a user, a prompt message is sent to the user to clearly remind the user that the operation requested to be performed will require obtaining and using the user's personal information. Thus, the user can independently choose whether to provide personal information to software or hardware such as an electronic device, application, server, or storage medium that performs the operation of the technical solution of the present disclosure according to the prompt message.

[0141] As an optional but non-limiting implementation, in response to receiving the user's active request, the prompt information may be sent to the user in the form of a pop-up window, in which the prompt information may be presented in text form. In addition, the pop-up window may also carry a selection control for the user to choose "agree" or "disagree" to provide personal information to the electronic device.

[0142] It is understandable that the above notification and the process of obtaining user authorization are merely illustrative and do not constitute a limitation on the implementation of the present disclosure. Other methods that meet relevant laws and regulations may also be applied to the implementation of the present disclosure.

[0143] A person skilled in the art should understand that the discussion of any of the above embodiments is merely illustrative and is not intended to imply that the scope of the present application is limited to these examples. In line with the concept of the present application, the technical features in the above embodiments or different embodiments may be combined, the steps may be implemented in any order, and there are many other variations of the different aspects of the embodiments of the present application as described above, which are not provided in detail for the sake of simplicity.

[0144] In addition, to simplify the description and discussion, and in order not to make the embodiments of the present application difficult to understand, the known power supply / ground connection with the integrated circuit (IC) chip and other components may or may not be shown in the provided drawings. In addition, the device can be shown in the form of a block diagram to avoid making the embodiments of the present application difficult to understand, and this also takes into account the fact that the details of the implementation of these block diagram devices are highly dependent on the platform to be implemented in the embodiments of the present application (that is, these details should be fully within the scope of understanding of those skilled in the art). In the case of elaborating specific details (e.g., circuits) to describe exemplary embodiments of the present application, it is obvious to those skilled in the art that the embodiments of the present application can be implemented without these specific details or when these specific details are changed. Therefore, these descriptions should be considered to be illustrative rather than restrictive.

[0145] Although the present application has been described in conjunction with specific embodiments of the present application, many replacements, modifications and variations of these embodiments will be apparent to those skilled in the art from the foregoing description. For example, other memory architectures (e.g., dynamic RAM (DRAM)) may use the embodiments discussed.

[0146] The embodiments of the present application are intended to cover all such substitutions, modifications and variations that fall within the broad scope of the present application. Therefore, any omissions, modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the embodiments of the present application should be included in the protection scope of the present application.

Claims

1. A vehicle control method, characterized in that: The vehicle includes a power battery, and the power battery includes a plurality of single cells; the method includes: In response to determining that the power battery is in a charging and discharging state, acquiring current state data of the power battery, and predicting future state data of the power battery based on the current state data; Determine target future state data of each single battery according to the future state data, and determine the health state of each single battery according to the target future state data to obtain a health state data set, and determine whether the power battery has a health risk according to the health state data set; In response to determining that there is a health risk for the power battery, target charge and discharge parameters of the power battery are determined according to the target future state data, so as to charge and discharge the power battery based on the target charge and discharge parameters.

2. The vehicle control method according to claim 1, characterized in that: The target future state data includes the hot spot area temperature and the average temperature of the single cell; and determining the health state of each single cell according to the target future state data includes: Determine a first integral of the single cell according to the temperature of the hot spot area; Determine a second integral of the single battery according to the average temperature; Determine the sum of the first integral and the second integral as a state score; In response to determining that the status score is greater than a first preset score, determining that the single battery is in a high-risk state; In response to determining that the status score is less than or equal to a first preset score and greater than a second preset score, determining that the single cell battery is in a low risk state; In response to determining that the status score is less than or equal to a second preset score, the single battery is determined to be in a safe state, wherein the first preset score is greater than the second preset score.

3. The vehicle control method according to claim 1, characterized in that: The health status data set includes a high-risk data subset, a low-risk data subset and a safe data subset; The determining, according to the health status data set, whether the power battery has a health risk includes: In response to the high-risk data subset being not an empty set, determining that the power battery has a health risk; In response to the high-risk data subset being an empty set and the low-risk data subset being not an empty set, the number of elements in the low-risk data subset is determined, and whether the power battery has a health risk is determined according to the number of elements.

4. The vehicle control method according to claim 3, characterized in that: The determining whether the power battery has a health risk according to the number of elements includes: In response to determining that the number of elements is greater than a preset number, determining the single cell corresponding to the low-risk data subset as a target single cell, determining position data of the target single cell, and judging whether the target single cell meets a preset distribution condition based on the position data; In response to determining that the target single battery cell meets a preset distribution condition, determining that the power battery cell has a health risk; In response to determining that the target single battery does not meet the preset distribution condition, determining that the power battery does not have a health risk; In response to determining that the number of elements is less than or equal to a preset number, it is determined that there is no health risk to the power battery.

5. The vehicle control method according to claim 4, characterized in that: The determining whether the target single battery cell meets a preset distribution condition based on the position data includes: determining an average distance between target single cells based on the position data; In response to determining that the average distance is greater than or equal to a preset average distance, determining that the target single battery cell does not satisfy a preset distribution condition; In response to determining that the average distance is less than a preset average distance, it is determined that the target single battery cell meets a preset distribution condition.

6. The vehicle control method according to claim 2, characterized in that: The step of determining the first integral of the single battery according to the temperature of the hot spot area includes: In response to determining that the hot spot area temperature is less than a first area temperature threshold, determining a first preset value as the first integral; In response to determining that the temperature of the hot spot area is greater than or equal to a first area temperature threshold and less than a second area temperature threshold, determining a second preset value as the first integral; In response to determining that the hot spot area temperature is greater than or equal to the second area temperature threshold, determining a third preset value as the first integral; The first preset value is smaller than the second preset value, the second preset value is smaller than the third preset value, and the temperature threshold of the second area is larger than the temperature threshold of the first area.

7. The vehicle control method according to claim 2, characterized in that: The step of determining a second integral of the single battery according to the average temperature comprises: In response to determining that the average temperature is less than a first average temperature threshold, determining a fourth value as the second integral; In response to determining that the average temperature is greater than or equal to a first average temperature threshold and less than a second average temperature threshold, determining a fifth value as the second integral; In response to determining that the average temperature is greater than or equal to a second average temperature threshold, determining a sixth value as the second integral; The fourth value is smaller than the fifth value, the fifth value is smaller than the sixth value, and the second average temperature threshold is greater than the first average temperature threshold.

8. The vehicle control method according to claim 2, characterized in that: The target charge and discharge parameters include target charge and discharge currents; and determining the target charge and discharge parameters of the power battery according to the target future state data, so as to charge and discharge the power battery based on the target charge and discharge parameters, comprises: In response to determining that a single cell in the power battery is in a high-risk state or a low-risk state, a current adjustment coefficient is determined based on the hot spot area temperature and the average temperature of the single cell, the product of the current adjustment coefficient and the current charge and discharge current of the single cell is determined as a target charge and discharge current, and the single cell is charged and discharged based on the target charge and discharge current.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the program, the method according to any one of claims 1 to 8 is implemented.

10. A vehicle, characterized in that: The vehicle comprises the electronic device as claimed in claim 9.

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