Method, device and equipment for evaluating residual life of storage battery, medium and vehicle

Abstract

The invention provides a storage battery residual life evaluation method, device and equipment, a medium and a vehicle, and the method comprises the steps: monitoring the current voltage of a to-be-detected storage battery, triggering a charging process when the voltage is lower than a preset charging voltage threshold value, and continuously charging until the voltage reaches a preset full-charge voltage; the discharging electric quantity and the charging duration are synchronously recorded in the charging process, the charging capacity is calculated based on the discharging electric quantity, the charging duration and the preset charging rated power, the corresponding relation between the calculated charging capacity and the battery residual capacity is established through a preset charging information mapping table, and finally the residual life of the storage battery is evaluated; according to the method, complex equipment is not needed, accurate analysis of the health state of the battery is realized by quantifying key parameters in the charging process and combining a standardized mapping relation, and the efficiency and accuracy of battery life evaluation are remarkably improved.

Description

Technical Field

[0001] This application relates to the field of battery technology, specifically to a method, apparatus, equipment, medium, and vehicle for assessing the remaining life of a storage battery. Background Technology

[0002] With the widespread application of batteries in new energy vehicles, energy storage systems, and other fields, their health status assessment and remaining life prediction have become crucial for ensuring system reliability. Currently, the industry generally adopts testing methods based on single physical parameters such as voltage, capacity, and internal resistance, or relies on charge-discharge experiments in a laboratory environment for capacity decay analysis. For example, static voltage testing is used to determine whether a battery is depleted, or the linear relationship between electrolyte density and lead-acid battery capacity is used for estimation.

[0003] However, these methods are limited by dynamic factors such as ambient temperature and discharge rate, making it difficult to fully reflect the actual performance degradation patterns of batteries under complex operating conditions. Furthermore, while some data-driven models incorporate multi-feature fusion analysis, they fail to fully incorporate the real-time energy interaction characteristics during battery recharging, leading to discrepancies between predicted results and actual lifespan degradation trends, thus failing to provide accurate basis for maintenance decisions. Summary of the Invention

[0004] In view of the shortcomings of the prior art described above, this application provides a method, apparatus, equipment, medium and vehicle for assessing the remaining life of a battery, in order to solve the technical problem that the predicted results deviate from the actual life degradation trend.

[0005] This application provides a method for assessing the remaining lifespan of a storage battery. The method includes: monitoring the current voltage of the battery under test; if the current voltage is lower than a preset charging voltage, generating a charging signal; charging the battery under test in response to the charging signal until the voltage of the battery under test reaches a preset full-charge voltage, and recording the charging duration of the battery under test and the discharge capacity of a power battery, wherein the power battery is used to provide charging power to the battery under test; calculating the charging capacity of the battery under test based on the discharge capacity, the charging duration, and a preset rated charging power; and searching a preset charging information mapping table to obtain the remaining battery capacity corresponding to the charging capacity, so as to assess the remaining lifespan of the battery under test based on the remaining battery capacity.

[0006] In one embodiment of this application, finding the remaining battery capacity corresponding to the replenishment capacity by searching a preset replenishment information mapping table includes: obtaining the replenishment environment temperature during the replenishment process of the battery under test; finding the corresponding replenishment correction coefficient in a preset temperature-correction coefficient mapping table based on the replenishment environment temperature; correcting the replenishment capacity based on the replenishment correction coefficient to obtain the corrected replenishment capacity of the battery under test, and finding the corresponding remaining battery capacity based on the corrected replenishment capacity.

[0007] In one embodiment of this application, before looking up the corresponding charging correction coefficient in a preset correction mapping table based on the charging ambient temperature, the method further includes: discharging the battery under test to a charging threshold voltage at a preset standard ambient temperature and recording the standard charging capacity at the standard ambient temperature; adjusting the battery under test to multiple calibration temperatures, repeating the discharge and charging process at each calibration temperature, and recording the charging capacity corresponding to each calibration temperature; calculating the ratio of the charging capacity to the standard charging capacity at each calibration temperature as the temperature correction coefficient for that calibration temperature; and storing each calibration temperature and its corresponding temperature correction coefficient in a temperature-correction coefficient mapping table to determine the charging correction coefficient corresponding to each charging ambient temperature based on the temperature-correction coefficient mapping table.

[0008] In one embodiment of this application, before searching the preset charging information mapping table, the method further includes: identifying whether the current charging process is continuous charging; if an external interruption event occurs, terminating the lifetime assessment; if no interruption occurs, performing subsequent capacity mapping and lifetime calculation; wherein, the external interruption event includes at least one of the following situations: connecting an external charging device during the charging process; receiving a remote control command to stop charging; or the user triggering a state switch of the vehicle system through vehicle operation.

[0009] In one embodiment of this application, before searching the preset charging information mapping table, the method further includes: collecting the initial correspondence between the charging capacity and remaining capacity of the target battery under standard conditions to construct an initial mapping table, wherein the target battery and the battery under test are batteries of the same model; during the charging process of the target battery, dynamically updating the initial mapping table based on the charging data of each charging process to generate the preset charging information mapping table; the dynamic update includes: comparing the current charging capacity with the historical charging capacity and calculating the attenuation rate; adjusting the predicted value of the remaining capacity according to the attenuation rate and updating the correspondence in the initial mapping table.

[0010] In one embodiment of this application, assessing the remaining lifespan of the battery under test based on the remaining battery capacity includes: obtaining the initial battery capacity of the battery under test; and calculating the ratio of the remaining battery capacity to the initial battery capacity to obtain the percentage of the remaining lifespan of the battery under test.

[0011] This application provides a battery remaining life assessment device, the device comprising: a voltage monitoring module for monitoring the current voltage of the battery under test and generating a charging signal when the current voltage is lower than a preset charging voltage; a charging control module for charging the battery under test in response to the charging signal until the battery voltage reaches a preset full charge voltage, and recording the charging duration of the battery under test and the discharge capacity of a power battery, wherein the power battery provides charging power to the battery under test; a charging capacity calculation module for calculating the charging capacity of the battery under test based on the discharge capacity, the charging duration, and a preset charging rated power; and a battery remaining life assessment module for looking up a preset charging information mapping table, obtaining the battery remaining capacity corresponding to the charging capacity, and assessing the remaining life of the battery under test based on the battery remaining capacity.

[0012] This application provides a vehicle including a battery remaining life assessment device as described above.

[0013] This application provides an electronic device, the electronic device comprising: one or more processors; and a storage device for storing one or more programs, which, when executed by the one or more processors, cause the electronic device to implement the battery remaining life assessment method as described above.

[0014] This application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a computer's processor, causes the computer to perform the battery remaining life assessment method as described above.

[0015] The beneficial effects of this application are as follows: The battery remaining life assessment method proposed in this application accurately calculates the charging capacity by quantifying the discharge capacity, charging time, and rated power during the charging process and combining it with a preset charging information mapping table. This allows for a more accurate derivation of the battery's remaining capacity and remaining life, overcoming the error problem caused by the reliance on a single voltage or internal resistance parameter in traditional methods, and improving the accuracy of battery remaining life assessment. In addition, this method does not require complex equipment or manual intervention; it only requires recording basic data synchronously during the charging process to complete the assessment, lowering the implementation threshold and improving the efficiency of battery life assessment.

[0016] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and do not limit this application. Attached Figure Description

[0017] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application. It is obvious that the drawings described below are merely some embodiments of this application, and those skilled in the art can obtain other drawings based on these drawings without any inventive effort. In the drawings: Figure 1 This is a schematic diagram illustrating the implementation environment of a battery remaining life assessment method, as shown in an exemplary embodiment of this application. Figure 2 This is a flowchart illustrating a battery remaining life assessment method as shown in an exemplary embodiment of this application; Figure 3 This is a schematic diagram illustrating the power supply information mapping relationship in an exemplary embodiment of this application; Figure 4 This is a schematic diagram illustrating the complete steps of a battery remaining life assessment method, as shown in an exemplary embodiment of this application. Figure 5 This is a block diagram illustrating a battery remaining life assessment device according to an exemplary embodiment of this application; Figure 6 A schematic diagram of the structure of a computer system suitable for implementing the electronic device of the present application is shown. Detailed Implementation

[0018] The embodiments of this application will be described below with reference to the accompanying drawings and preferred embodiments. Those skilled in the art can easily understand other advantages and effects of this application from the content disclosed in this specification. This application can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of this application. It should be understood that the preferred embodiments are only for illustrating this application and are not intended to limit the scope of protection of this application.

[0019] It should be noted that the illustrations provided in the following embodiments are only schematic representations of the basic concept of this application. Therefore, the drawings only show the components related to this application and are not drawn according to the actual number, shape and size of the components in the actual implementation. In the actual implementation, the form, quantity and proportion of each component can be arbitrarily changed, and the layout of the components may also be more complex.

[0020] In the following description, numerous details are explored to provide a more thorough explanation of embodiments of the present application. However, it will be apparent to those skilled in the art that embodiments of the present application may be practiced without these specific details. In other embodiments, well-known structures and devices are shown in block diagram form rather than in detail to avoid obscuring embodiments of the present application.

[0021] Figure 1 This is a schematic diagram illustrating the implementation environment of a battery remaining life assessment method, as shown in an exemplary embodiment of this application.

[0022] like Figure 1 As shown, the implementation environment for the battery remaining life assessment method includes a data acquisition module 101 and a vehicle infotainment system 102. The two interact via a CAN / CAN FD bus to collaboratively assess the battery's remaining life. The data acquisition module 101 incorporates an array of voltage, current, and temperature sensors to monitor key physical quantities of the battery in real time. It converts analog signals into digital data via a signal conditioning module and transmits the data to the vehicle infotainment system through a standardized communication protocol. This module supports dynamic data acquisition during the charging process, ensuring accurate recording of parameters such as voltage and current. It also provides DBC file parsing functionality and a visual interface, facilitating intuitive monitoring of the battery status by maintenance personnel. DBC, short for DatabaseCanvas, is a database design and management tool or conceptual framework whose core purpose is to simplify the design, development, and maintenance of databases through a visual and interactive approach.

[0023] The vehicle infotainment system 102, as the core control unit, integrates the vehicle control unit (VCU), battery management system (BMS), and DC / DC converter, and is responsible for triggering and executing the charging process. When the data acquisition module 101 detects that the battery voltage is lower than a preset threshold, the VCU initiates the charging process, waking up the DC / DC converter and BMS, and charging the battery with a low-voltage current until it reaches full charge. During the charging process, the BMS collects and records the discharge capacity data in real time, and calculates the corrected charging capacity by combining the ambient temperature correction coefficient (based on a laboratory-calibrated temperature-correction coefficient mapping table) and the discharge data. Finally, the vehicle infotainment system outputs the remaining battery life assessment result through a preset charging information mapping table (linking the charging capacity and the remaining battery life), and stores the data locally or on a cloud platform, supporting remote monitoring and big data analysis.

[0024] This application provides a battery remaining life assessment system, which includes: a battery voltage detection circuit, a vehicle controller, a power battery management system, a DC-DC converter, and a charging capacity calculation module and a battery remaining life assessment module integrated in the vehicle controller.

[0025] The system includes: a battery voltage detection circuit for monitoring the current voltage of the battery under test and generating a charging signal when the current voltage is lower than the preset charging voltage; a vehicle controller for responding to the charging signal, waking up the power battery management system and DC-DC converter, and controlling the DC-DC converter to charge the battery under test until its voltage reaches the preset full charge voltage; a power battery management system for collecting data through current and voltage sensors during the charging process, recording the discharge amount and charging duration; a DC-DC converter for performing the charging operation and monitoring the charging status in real time, sending a charging end command to the vehicle controller when the preset charging termination conditions are met; a charging capacity calculation module, integrated into the vehicle controller, for calculating the charging capacity of the battery under test based on the discharge amount, charging duration, and preset charging rated power; and a battery remaining life assessment module, integrated into the vehicle controller, for looking up a preset charging information mapping table and assessing the remaining life of the battery under test based on the remaining battery capacity corresponding to the charging capacity.

[0026] Based on the aforementioned battery remaining life assessment system, the following embodiments for battery remaining life assessment methods are presented as examples. Details are as follows: Figure 2 This is a flowchart illustrating a method for assessing the remaining life of a storage battery, as shown in an exemplary embodiment of this application.

[0027] like Figure 2 As shown, in an exemplary embodiment, the battery remaining life assessment method includes at least steps S210 to S240, which are described in detail below: Step S210: Monitor the current voltage of the battery under test. If the current voltage is lower than the preset charging voltage, generate a charging signal.

[0028] In one embodiment of this application, accurate monitoring of low battery voltage and automated generation of charging signals are achieved through the coordinated design of hardware circuits and software logic. On the hardware side, a voltage detection circuit is constructed with a voltage comparator as its core: a 5V reference voltage is generated through a current-limiting resistor (R2=100kΩ) and a Zener diode (VDZ, stable voltage 5V), and input to the inverting input of the voltage comparator; the battery voltage is sampled by voltage divider resistors (R1=100kΩ, R3=100kΩ) and used as the input signal to the non-inverting input. When the battery voltage is ≥10V, the voltage divider point voltage is 5V, the voltage comparator outputs a high level (≈12V), and the LED does not conduct due to reverse voltage, indicating that the vehicle system is in normal condition; when the battery voltage is <10V, the voltage divider point voltage is <5V, the voltage comparator outputs a low level (≈0V), the LED conducts and illuminates, and the charging signal is transmitted to the vehicle controller (VCU) via a hardwired connection.

[0029] In step S220, in response to the charging signal, the battery under test is charged until the voltage of the battery under test reaches the preset full charge voltage, and the charging time of the battery under test and the discharge capacity of the power battery are recorded. The power battery is used to provide charging power to the battery under test.

[0030] In one embodiment of this application, after receiving the charging signal, the VCU first verifies the vehicle status (ignition switch off, doors closed, no high-voltage fault), then wakes up the DCDC module and sets the initial output voltage to 12V. During the charging process, the VCU dynamically adjusts the DCDC output power based on real-time data uploaded by the BMS to ensure a smooth rise in battery voltage. When the voltage reaches the preset full-charge threshold (14.4V), the VCU triggers the DCDC to shut down and terminates the charging process. Furthermore, throughout the entire charging process, the specific charging duration is recorded, and the discharge capacity of the BMS, i.e., the discharge capacity of the power battery, is accumulated based on the following formula.

[0031] Equation (1) Where T represents the charging duration, Indicates instantaneous voltage. This represents instantaneous current.

[0032] Step S230: Based on the discharge capacity, recharge duration, and preset recharge rated power, calculate the recharge capacity of the battery under test.

[0033] In one embodiment of this application, before looking up the corresponding compensation correction coefficient in a preset correction mapping table based on the compensation ambient temperature, it is necessary to construct a temperature-correction coefficient mapping table. The steps include: discharging the battery under test to the compensation threshold voltage at a preset standard ambient temperature and recording the standard compensation capacity at the standard ambient temperature; adjusting the battery under test to multiple calibration temperatures, repeating the discharge and compensation process at each calibration temperature, and recording the compensation capacity corresponding to each calibration temperature; calculating the ratio of the compensation capacity to the standard compensation capacity at each calibration temperature as the temperature correction coefficient for that calibration temperature; and storing each calibration temperature and its corresponding temperature correction coefficient as a temperature-correction coefficient mapping table to determine the compensation correction coefficient corresponding to each compensation ambient temperature based on the temperature-correction coefficient mapping table.

[0034] In one specific embodiment of this application, a temperature-correction coefficient mapping table is constructed during the battery charging process through experimental calibration and data analysis to correct the influence of ambient temperature on the charging capacity and improve the accuracy of remaining life assessment. First, under a standard ambient temperature such as 25°C, lead-acid batteries of the same batch and model are placed in a constant temperature chamber and discharged to a preset charging threshold voltage (10V) at a constant current of 0.01C by the power battery management system. Then, they are charged to the full voltage (14.4V) at a low voltage of 12V by the DC-DC module. The BMS collects current and voltage data in real time during the charging process and calculates the baseline charging capacity C under standard conditions. 25 Then, to construct the temperature-correction coefficient mapping table, the battery needs to be further adjusted to multiple calibration temperatures such as 0℃, 10℃, 20℃, 30℃, and 40℃. It should be left to stand in a constant temperature chamber for more than 2 hours to ensure temperature uniformity, and the discharge to the threshold voltage and the recharging process should be repeated. The recharging capacity C corresponding to each temperature point should be recorded. t Furthermore, based on the ratio of the compensating capacitance at the standard ambient temperature to that at the calibrated ambient temperature, the temperature correction coefficient is obtained, and its formula is as follows: Equation (2) in, This is a temperature correction factor. This is the compensation capacity corresponding to the standard temperature. For calibration temperature t The corresponding power replenishment capacity.

[0035] In addition, the compensation data were tested and recorded at multiple calibration temperatures, resulting in the temperature-correction coefficient mapping table shown below: Table 1

[0036] It should be noted that the reliability of the correction coefficient can be ensured by conducting multiple experiments (such as taking the average of 5 tests) during the measurement process.

[0037] In one embodiment of this application, the process of finding a preset charging information mapping table to obtain the remaining battery capacity corresponding to the charging capacity needs to correct the charging capacity obtained based on the current charging ambient temperature. The correction steps include: obtaining the charging ambient temperature during the charging process of the battery to be tested; finding the corresponding charging correction coefficient in a preset temperature-correction coefficient mapping table based on the charging ambient temperature; correcting the charging capacity based on the charging correction coefficient to obtain the corrected charging capacity of the battery to be tested, and finding the corresponding remaining battery capacity based on the corrected charging capacity.

[0038] In one specific embodiment of this application, the compensation capacity is corrected based on the compensation correction coefficient, and the formula is as follows: Battery charging capacity = (BMS discharge capacity - vehicle charging rated power * charging time) / temperature correction factor.

[0039] In one specific embodiment of this application, the ambient temperature T is monitored in real time using an NTC (Negative Temperature Coefficient) temperature sensor, and the closest temperature point is found in a mapping table. K t The measured charge capacity at the current temperature is then corrected. For example, if the charge capacity measured at 0°C is 40.5Wh, the corrected capacity is 50.0Wh, which is consistent with the standard capacity C. 25 The deviation was controlled within ±5%. The accuracy of the mapping table was further optimized through cross-temperature zone verification experiments (such as 0℃, 30℃, and 40℃), and intermediate temperature points were added or the segmentation strategy was adjusted if necessary.

[0040] It is understandable that the method proposed in this embodiment, by experimentally calibrating the correction coefficient, adapts to the temperature characteristics differences of different battery models, avoiding reliance on theoretical formulas, and simultaneously supports charging optimization under complex operating conditions such as low-temperature start-up and high-temperature range in new energy vehicles. Furthermore, the mapping table can be iteratively updated via software to adapt to changes in the temperature characteristics of new battery types, significantly improving the accuracy and reliability of remaining life assessment.

[0041] Step S240: Search the preset power replenishment information mapping table to obtain the remaining battery capacity corresponding to the power replenishment capacity, so as to evaluate the remaining life of the battery under test based on the remaining battery capacity.

[0042] In one embodiment of this application, assessing the remaining lifespan of a battery under test based on its remaining capacity includes: obtaining the initial battery capacity of the battery under test; and calculating the ratio of the remaining battery capacity to the initial battery capacity to obtain the percentage of remaining lifespan of the battery under test.

[0043] In one specific embodiment of this application, a lead-acid battery has an initial capacity of 60Ah and a corrected remaining capacity of 48Ah, so the remaining lifespan percentage is 80%.

[0044] Furthermore, to further improve the reliability of the assessment, internal resistance testing can be incorporated to accurately evaluate the remaining lifespan of the battery under test. This specifically includes: obtaining the initial internal resistance value of the battery under test, which is the internal resistance of the battery in its initial state under standard ambient temperature; real-time detection of the current internal resistance value of the battery, using an AC internal resistance tester or impedance spectroscopy analysis equipment to measure the current internal resistance value; calculating the rate of change of internal resistance based on the current and initial internal resistance values; and then evaluating the remaining lifespan of the battery based on the rate of change of internal resistance. If the rate of change of internal resistance exceeds a preset threshold (e.g., 30%), the remaining lifespan of the battery is determined to be below a set level, and this is further verified by combining the remaining capacity ratio of the battery.

[0045] In one embodiment of this application, before searching the preset charging information mapping table, it is necessary to construct the charging information mapping table. The steps include: collecting the correspondence between the initial charging capacity and remaining capacity of the target battery under standard conditions, constructing an initial mapping table, where the target battery and the battery under test are the same model of battery; during subsequent charging of the target battery, dynamically updating the mapping table based on the charging data of each charging process to reflect the battery's lifespan degradation trend; the dynamic update includes: comparing the current charging capacity with the historical charging capacity, calculating the degradation rate; adjusting the predicted value of the remaining capacity according to the degradation rate, and updating the correspondence in the mapping table.

[0046] Figure 3 This is a schematic diagram illustrating the power supply information mapping relationship in an exemplary embodiment of this application.

[0047] In one embodiment of this application, a mapping table for replenishment information is constructed and dynamically updated by collecting the correspondence between the replenishment capacity and remaining capacity of the target battery under standard conditions, so as to accurately reflect the battery's lifespan degradation trend. The specific process is as follows: First, the target battery was subjected to an initial charge test at a standard ambient temperature (e.g., 25°C). The battery was discharged to different remaining capacity points (e.g., 30%, 40%, ..., 100%), and the charge amount (Wh) at each point was recorded, forming an initial dataset. For example, when the remaining capacity was 30%, the charge amount was 50Wh; when the remaining capacity increased to 100%, the charge amount reached 500Wh. These data points formed the basis of the initial mapping table, and the relationship between the two was visually displayed by plotting a two-dimensional coordinate system graph: the horizontal axis represents the remaining capacity (30%-100%), and the vertical axis represents the charge amount (50-500Wh). The curve shows a non-linear upward trend, and the charge amount increases significantly in the high remaining capacity range (e.g., ...). Figure 3 (As shown).

[0048] Subsequently, during subsequent recharging of the target battery, the mapping table is dynamically updated to reflect lifespan degradation. After each recharging, the current recharge capacity is compared with historical data to calculate the degradation rate (formula: degradation rate = (historical recharge capacity - current recharge capacity) / historical recharge capacity × 100%). The predicted remaining capacity is adjusted based on the degradation rate, and the relationship between the corresponding recharge capacity and remaining capacity in the mapping table is corrected. For example, if a recharge capacity decreases from 100Wh to 90Wh, and the calculated degradation rate is 10%, the remaining capacity needs to be adjusted proportionally to 90% of the current value. The updated data points will reflect the gradual decline in battery performance.

[0049] Finally, the data model is continuously optimized by periodically verifying the accuracy of the mapping table (e.g., comparing it with actual discharge test results). If the error exceeds a threshold (e.g., ±5%), the data is recalibrated or the decay rate calculation method is adjusted to ensure the long-term effectiveness of the mapping table.

[0050] Furthermore, in one embodiment of this application, before searching the preset charging information mapping table, it is also necessary to identify the charging process, specifically including: identifying whether the current charging process is continuous charging; if an external interruption event occurs, terminating the life assessment; if no interruption occurs, performing subsequent capacity mapping and life calculation; wherein, the external interruption event includes at least one of the following situations: connecting an external charging device during the charging process; receiving a remote control command to stop charging; the user performing an unlocking operation on the vehicle, including remote unlocking and direct unlocking.

[0051] In one specific embodiment of this application, during the battery charging process, whether the current charging is a continuous charging is identified in real time through physical interface status detection, communication protocol parsing, and vehicle system operation logs. If the following external interruption event is detected, the life assessment process will be terminated immediately: Connecting to external charging devices: The plug-in detection circuit determines whether there is plug-in action. For example, when the CC (Cruise Control) signal switches from the unplugged state to the plugged state, it is determined that the user has plugged in. At this time, other external devices may consume power, affecting the battery charging capacity assessment, and the current charging life assessment process ends.

[0052] Receive remote control command: Receive commands (such as "remotely start the air conditioner or remotely start the charger") through the vehicle network platform or cloud server.

[0053] If no interruption event occurs as described above, the system is considered to be continuously recharged, and the remaining battery life assessment process is executed. This process includes: real-time recording of recharge capacity (Wh), current, voltage, and timestamp to generate a complete data packet; querying the corresponding remaining capacity prediction value from a preset recharge information mapping table based on the current recharge capacity; calculating the degradation rate by combining historical recharge data and outputting the life assessment result; and updating the mapping table to reflect the latest degradation trend, such as adjusting the parameters of the highest point of the curve (corresponding to data under standard ambient temperature) to ensure the accuracy of subsequent assessments.

[0054] Figure 4 This is a schematic diagram illustrating the complete steps of a battery remaining life assessment method, as shown in an exemplary embodiment of this application.

[0055] like Figure 4 As shown in a specific embodiment of this application, the process of assessing the remaining battery life is as follows: First, it checks whether the battery voltage meets the activation conditions for intelligent charging. When the conditions are met, the VCU controls the start of the intelligent charging process and continuously monitors the battery voltage during the intelligent charging process. Once the intelligent charging termination conditions are met, the charging stops. Furthermore, after the intelligent charging ends, the BMS records the discharge amount, and the VCU determines whether the recording conditions for battery life estimation are met according to preset rules. If met, it further confirms whether a battery life warning is needed based on the power consumption of the most recent n charging cycles. It should be noted that during this process, the VCU also corrects the amount of power consumed in this intelligent charging based on parameters such as temperature coefficient and intelligent charging efficiency to ensure the accuracy and effectiveness of the charging. Finally, if the VCU confirms that a life warning is needed, it sends a battery life warning message to the user via the IC / App.

[0056] In one specific embodiment of this application, assume an electric vehicle whose battery voltage is currently 12V, lower than the set intelligent charging activation threshold of 12.5V. The VCU detects this and immediately initiates the intelligent charging program. During intelligent charging, the VCU continuously monitors the battery voltage until it reaches the preset termination condition of 13V, at which point intelligent charging stops. During the charging process, the BMS records the battery discharge amount as 0.5Ah. The VCU determines, based on its internal algorithm, that this discharge amount and other relevant data meet the recording conditions for battery life estimation. Next, the VCU analyzes the power consumption data from the last five intelligent charging cycles and finds that the battery performance has declined, confirming the need for a lifespan warning. The VCU adjusts the power consumption for this intelligent charging cycle based on the current ambient temperature and intelligent charging efficiency to ensure the battery is in optimal condition. Finally, the IC / App sends a message to the owner: "Your electric vehicle battery is nearing the end of its lifespan; please replace it promptly." This allows the owner to prepare in advance and avoid driving inconvenience caused by battery problems.

[0057] It is understood that the intelligent charging and lifespan warning system proposed based on the above embodiments can effectively manage and maintain the battery of electric vehicles, extend its service life, and also promptly remind the owner to pay attention to the battery status to ensure driving safety.

[0058] Figure 5 This is a block diagram illustrating a battery remaining life assessment device according to an exemplary embodiment of this application. The device can be applied to... Figure 1 The implementation environment shown is illustrated. This device can also be applied to other exemplary implementation environments and specifically configured in other devices. This embodiment does not limit the implementation environment to which the device is applicable.

[0059] like Figure 5 As shown, the exemplary battery remaining life assessment device includes: a voltage monitoring module 510, a charging control module 520, a charging capacity calculation module 530, and a battery remaining life assessment module 540.

[0060] The system includes a voltage monitoring module 510, which monitors the current voltage of the battery under test and generates a charging signal when the current voltage is lower than a preset charging voltage; a charging control module 520, which charges the battery under test in response to the charging signal until the battery voltage reaches a preset full-charge voltage, and records the charging duration and discharge capacity of the power battery, wherein the power battery provides charging power to the battery under test; a charging capacity calculation module 530, which calculates the charging capacity of the battery under test based on the discharge capacity, charging duration, and a preset charging rated power; and a battery remaining life assessment module 540, which searches a preset charging information mapping table to obtain the remaining battery capacity corresponding to the charging capacity, and assesses the remaining life of the battery under test based on the remaining battery capacity.

[0061] It should be noted that the battery remaining life assessment device and the battery remaining life assessment method provided in the above embodiments belong to the same concept. The specific operation methods of each module and unit have been described in detail in the method embodiments and will not be repeated here. In practical applications, the battery remaining life assessment device provided in the above embodiments can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. This is not a limitation here.

[0062] An embodiment of this application also provides a vehicle equipped with the aforementioned battery remaining life assessment device and battery remaining life assessment method to assess the remaining life of the vehicle battery.

[0063] Embodiments of this application also provide an electronic device, including: one or more processors; and a storage device for storing one or more programs, which, when executed by the one or more processors, cause the electronic device to implement the battery remaining life assessment method provided in the above embodiments.

[0064] Figure 6 A schematic diagram of a computer system suitable for implementing the embodiments of this application is shown. It should be noted that... Figure 6 The computer system 600 of the electronic device shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of this application.

[0065] like Figure 6 As shown, the computer system 600 includes a Central Processing Unit (CPU) 601, which can perform various appropriate actions and processes based on programs stored in Read-Only Memory (ROM) 602 or programs loaded from Storage Unit 608 into Random Access Memory (RAM) 603, such as performing the methods described in the above embodiments. The RAM 603 also stores various programs and data required for system operation. The CPU 601, ROM 602, and RAM 603 are interconnected via a bus 604. An Input / Output (I / O) interface 605 is also connected to the bus 604.

[0066] The following components are connected to I / O interface 605: an input section 606 including a keyboard, mouse, etc.; an output section 607 including a cathode ray tube (CRT), liquid crystal display (LCD), etc., and speakers, etc.; a storage section 608 including a hard disk, etc.; and a communication section 609 including a network interface card such as a LAN (Local Area Network) card, modem, etc. The communication section 609 performs communication processing via a network such as the Internet. A drive 610 is also connected to I / O interface 605 as needed. A removable medium 611, such as a disk, optical disk, magneto-optical disk, semiconductor memory, etc., is installed on drive 610 as needed so that computer programs read from it can be installed into storage section 608 as needed.

[0067] Specifically, according to embodiments of this application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of this application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program including a computer program for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via communication section 609, and / or installed from removable medium 611. When the computer program is executed by central processing unit (CPU) 601, it performs various functions defined in the system of this application.

[0068] It should be noted that the computer-readable medium shown in the embodiments of this application can be a computer-readable signal medium or a computer-readable storage medium, or any combination of the two. A computer-readable storage medium can be, for example, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), flash memory, optical fiber, portable compact disc read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this application, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, carrying a computer-readable computer program. Such propagated data signals can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. Computer-readable signal media can also be any computer-readable medium other than computer-readable storage media, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The computer program contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to wireless, wired, etc., or any suitable combination thereof.

[0069] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this application. Each block in a flowchart or block diagram may represent a module, segment, or portion of code, which contains one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram or flowchart, and combinations of blocks in a block diagram or flowchart, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0070] The units described in the embodiments of this application can be implemented in software or hardware, and the described units can also be located in a processor. The names of these units do not necessarily limit the specific unit itself.

[0071] Another aspect of this application provides a computer-readable storage medium storing a computer program thereon, which, when executed by a computer's processor, causes the computer to perform the battery remaining life assessment method as described above. This computer-readable storage medium may be included in the electronic device described in the above embodiments, or it may exist independently and not assembled into the electronic device.

[0072] Another aspect of this application provides a computer program product or computer program including computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the computer device to perform the battery remaining life assessment method provided in the various embodiments described above.

[0073] The above embodiments are merely illustrative of the principles and effects of this application and are not intended to limit this application. Any person skilled in the art can modify or alter the above embodiments without departing from the spirit and scope of this application. Therefore, all equivalent modifications or alterations made by those skilled in the art without departing from the spirit and technical concept disclosed in this application should still be covered by the claims of this application.

Claims

1. A method for assessing the remaining life of a storage battery, characterized in that, The method includes: Monitor the current voltage of the battery under test. If the current voltage is lower than the preset charging voltage, generate a charging signal. In response to the charging signal, the battery under test is charged until the voltage of the battery under test reaches the preset full charge voltage. The charging time of the battery under test and the discharge capacity of the power battery are recorded. The power battery is used to provide charging power to the battery under test. Based on the discharge capacity, the recharge duration, and the preset recharge rated power, the recharge capacity of the battery under test is calculated. The remaining battery capacity corresponding to the replenishment capacity is obtained by searching a preset replenishment information mapping table, so as to evaluate the remaining life of the battery under test based on the remaining battery capacity.

2. The method for assessing the remaining life of a storage battery according to claim 1, characterized in that, The remaining battery capacity corresponding to the replenishment capacity is obtained by searching a preset replenishment information mapping table, including: Obtain the ambient temperature during the charging process of the battery under test; Based on the ambient temperature of the power supply environment, the corresponding power supply correction coefficient is found in the preset temperature-correction coefficient mapping table; The replenishment capacity is corrected based on the replenishment correction coefficient to obtain the corrected replenishment capacity of the battery under test, and the corresponding remaining battery capacity is found based on the corrected replenishment capacity.

3. The method for assessing the remaining life of a storage battery according to claim 2, characterized in that, Before looking up the corresponding power-compensation correction coefficient in the preset temperature-correction coefficient mapping table based on the power-compensation ambient temperature, the process also includes: Under a preset standard ambient temperature, the battery under test is discharged to the charging threshold voltage, and the standard charging capacity under the standard ambient temperature is recorded. The battery under test was adjusted to multiple calibration temperatures, and the discharge and recharge processes were repeated at each calibration temperature. The recharge capacity corresponding to each calibration temperature was recorded. Calculate the ratio of the compensation capacitance to the standard compensation capacitance at each calibration temperature, and use it as the temperature correction factor for that calibration temperature. Each calibration temperature and its corresponding temperature correction coefficient are stored as a temperature-correction coefficient mapping table, and the power correction coefficient corresponding to each power compensation environment temperature is determined based on the temperature-correction coefficient mapping table.

4. The method for assessing the remaining life of a storage battery according to claim 1, characterized in that, Before searching the preset power replenishment information mapping table, the following steps are also included: Identify whether this power replenishment process is a continuous power replenishment; If an external interruption event occurs, the lifetime assessment is terminated; if no interruption occurs, subsequent capacity mapping and lifetime calculation are performed. The external interruption event includes at least one of the following scenarios: During the charging process, an external charging device is connected; the charging is stopped upon receiving a remote control command; the user triggers a state switch of the vehicle's infotainment system through vehicle operation.

5. The method for assessing the remaining life of a storage battery according to claim 1, characterized in that, Before searching the preset power replenishment information mapping table, the following steps are also included: The initial correspondence between the replenishment capacity and remaining capacity of the target battery under standard conditions is collected to construct an initial mapping table. The target battery and the battery under test are the same type of battery. During the target battery charging process, the initial mapping table is dynamically updated based on the charging data of each charging process to generate the preset charging information mapping table; The dynamic update includes: Compare the current power replenishment capacity with the historical power replenishment capacity and calculate the attenuation rate; The predicted value of the remaining capacity is adjusted according to the attenuation rate, and the correspondence in the initial mapping table is updated.

6. The method for assessing the remaining life of a storage battery according to any one of claims 1-5, characterized in that, The remaining lifespan of the battery under test is assessed based on its remaining capacity, including: Obtain the initial battery capacity of the battery under test; Calculate the ratio of the remaining battery capacity to the initial battery capacity to obtain the remaining lifespan percentage of the battery under test.

7. A battery remaining life assessment device, characterized in that, The device includes: A voltage monitoring module is used to monitor the current voltage of the battery under test and generate a charging signal when the current voltage is lower than a preset charging voltage. The power replenishment control module is used to replenish the battery under test in response to the power replenishment signal until the battery voltage reaches the preset full charge voltage, and to record the power replenishment duration of the battery under test and the discharge capacity of the power battery. The power battery is used to provide power replenishment to the battery under test. The replenishment capacity calculation module is used to calculate the replenishment capacity of the battery under test based on the discharge capacity, the replenishment duration, and the preset replenishment rated power. The battery remaining life assessment module is used to look up a preset charging information mapping table, obtain the battery remaining capacity corresponding to the charging capacity, and assess the remaining life of the battery under test based on the battery remaining capacity.

8. A vehicle, characterized in that, This includes the battery remaining life assessment device as described in claim 7.

9. An electronic device, characterized in that, The electronic device includes: One or more processors; A storage device for storing one or more programs, which, when executed by one or more processors, cause the electronic device to implement the battery remaining life assessment method as described in any one of claims 1 to 6.

10. A computer-readable storage medium, characterized in that, It stores a computer program that, when executed by the computer's processor, causes the computer to perform the battery remaining life assessment method according to any one of claims 1 to 6.

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