Energy storage battery monitoring method and device applied to motor home, equipment and medium

Abstract

The invention provides an energy storage battery monitoring method and device applied to a motor home, equipment and a medium, and belongs to the technical field of vehicle energy storage monitoring. The method comprises the steps that total voltage data, current data, temperature data and vehicle vibration amplitude data of an energy storage battery of the motor home are acquired, determining a vehicle working condition type based on the current data and the vehicle vibration amplitude data; if the vehicle working condition type is a driving uncharged state, accumulative integration is carried out on the current data along with time to obtain an ampere-hour integral accumulative capacity, and the initial residual electric quantity of an energy storage battery is determined based on the ampere-hour integral accumulative capacity and the rated capacity of the energy storage battery; and determining a battery electrochemical polarization correction coefficient based on the total voltage data, the temperature data and the vibration amplitude data, and performing electrochemical polarization compensation on the initial remaining power based on the battery electrochemical polarization correction coefficient to obtain a target remaining power. The accuracy of monitoring the state of the energy storage battery of the motor home can be improved.

Description

Technical Field

[0001] This application belongs to the field of vehicle energy storage monitoring technology, and more specifically, it relates to a method, device, equipment, and medium for monitoring energy storage batteries applied to RVs. Background Technology

[0002] With the increasing popularity of recreational travel, motorhomes have become an important vehicle for long-distance travel and outdoor living. As the core component for energy supply in motorhome living functions, the working status of energy storage batteries directly affects the reliability and safety of the vehicle's power supply. The working environment of energy storage batteries in motorhomes is characterized by frequent vibrations and large temperature ranges, which places high demands on the accuracy and stability of battery status monitoring.

[0003] Existing RV energy storage battery monitoring systems mostly use conventional power battery management solutions, calculating remaining power by integrating current and using fixed parameters. However, in actual applications, factors such as continuous vibration and environmental changes during driving can cause electrochemical polarization and concentration polarization inside the battery, leading to significant drift in the power estimation results. This can result in discrepancies between the displayed power and the actual usable power, affecting users' judgment of remaining power and failing to provide reliable support for battery safety and lifespan management. Summary of the Invention

[0004] This application provides a method, device, equipment, and medium for monitoring energy storage batteries in RVs, in order to improve the accuracy of RV energy storage battery status monitoring.

[0005] According to one aspect of the embodiments of this application, a method for monitoring energy storage batteries applied to RVs is provided, comprising: Acquire the total voltage, current, and temperature data of the RV's energy storage battery, as well as the vehicle's vibration amplitude data. Determine the vehicle's operating condition type based on the current and vibration amplitude data. If the vehicle is in a driving but not charging state, the current data is accumulated and integrated over time to obtain the ampere-hour integrated cumulative capacity. The initial remaining capacity of the energy storage battery is determined based on the ampere-hour integrated cumulative capacity and the rated capacity of the energy storage battery. The battery electrochemical polarization correction coefficient is determined based on the total voltage data, temperature data, and vibration amplitude data. Electrochemical polarization compensation is performed on the initial remaining capacity based on the battery electrochemical polarization correction coefficient to obtain the target remaining capacity.

[0006] According to one aspect of the embodiments of this application, an energy storage battery monitoring device for RVs is provided, comprising: The operating condition identification module is used to acquire the total voltage data, current data, temperature data and vehicle vibration amplitude data of the RV's energy storage battery, and determine the vehicle's operating condition type based on the current data and vehicle vibration amplitude data. The first battery monitoring module is used to accumulate and integrate the current data over time to obtain the ampere-hour integrated cumulative capacity if the vehicle's operating condition is "driving and not charging". Based on the ampere-hour integrated cumulative capacity and the rated capacity of the energy storage battery, the module determines the initial remaining capacity of the energy storage battery. Based on the total voltage data, temperature data and vibration amplitude data, the module determines the battery electrochemical polarization correction coefficient. Based on the battery electrochemical polarization correction coefficient, the module performs electrochemical polarization compensation on the initial remaining capacity to obtain the target remaining capacity.

[0007] According to one aspect of the embodiments of this application, a computer device is provided, the computer device including a processor and a memory, the memory storing a computer program, the computer program being loaded and executed by the processor to implement the above-described energy storage battery monitoring method applied to RVs.

[0008] According to one aspect of the embodiments of this application, the computer program product includes a computer program stored in a computer-readable storage medium. A processor of a computer device reads the computer program from the computer-readable storage medium and executes the computer program, causing the computer device to perform the above-described energy storage battery monitoring method applied to a recreational vehicle.

[0009] The technical solutions provided in this application embodiment may have the following beneficial effects: The embodiments of this application can effectively solve the problems of large drift in power estimation and significant deviation between displayed power and actual usable power in traditional battery monitoring methods under complex operating conditions such as driving vibration and temperature changes, thereby improving the accuracy and reliability of RV energy storage battery monitoring.

[0010] This application embodiment accurately identifies the uncharged driving condition by real-time collection of total voltage, current, temperature, and vehicle vibration amplitude data of the RV energy storage battery, combined with current and vibration amplitude data. Unlike traditional technologies that only use fixed parameters for power calculation, this embodiment, based on the initial remaining power obtained through ampere-hour integration, comprehensively determines the electrochemical polarization correction coefficient using total voltage, temperature, and vibration amplitude data, providing targeted compensation and calibration for the initial remaining power. Therefore, this application embodiment effectively reduces the interference of electrochemical polarization and concentration polarization caused by continuous vibration and changes in ambient temperature during driving on the power calculation results, reducing power estimation drift and ensuring a high degree of consistency between the battery display power and the actual usable power. Users can intuitively and accurately grasp the true remaining battery power, avoiding power outages or abnormal power usage due to misjudgment of power levels, thus improving the RV's power usage experience and travel safety. Simultaneously, accurate power monitoring data provides a reliable basis for battery safety management and lifespan assessment, enhancing the operational stability and lifespan of the RV energy storage system, and better adapting to the complex and ever-changing actual usage scenarios of RVs. Attached Figure Description

[0011] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0012] Figure 1 A flowchart illustrating the energy storage battery monitoring method for RVs provided in this application embodiment; Figure 2 A structural block diagram of an energy storage battery monitoring device for RVs provided in an embodiment of this application; Figure 3 This is a schematic diagram of the structure of a server provided in an embodiment of this application; Figure 4 This is a schematic diagram of the structure of a terminal provided in an embodiment of this application. Detailed Implementation

[0013] To make the objectives, technical solutions, and advantages of this application clearer, the embodiments of this application will be described in further detail below with reference to the accompanying drawings.

[0014] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numerals in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0015] The terminology used in this application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. The singular forms “a,” “the,” and “the” used in this application and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used herein refers to and includes any and all possible combinations of one or more of the associated listed items.

[0016] It should be understood that although the terms first, second, etc., may be used in this application to describe various information, this information should not be limited to these terms. These terms are only used to distinguish information of the same type from one another. For example, without departing from the scope of this application, a first parameter may also be referred to as a second parameter, and similarly, a second parameter may also be referred to as a first parameter. Depending on the context, the word "if" as used herein may be interpreted as "when," "when," or "in response to determination."

[0017] It should be noted that this application may display prompt interfaces, pop-ups, or output voice prompts before and during the collection of user-related data. These prompt interfaces, pop-ups, or voice prompts are used to inform the user that their relevant data is being collected. This ensures that the application only begins the steps related to collecting user-related data after receiving confirmation from the user regarding the prompt interface or pop-up. Otherwise, if no confirmation is received from the user, the steps to collect user-related data end, meaning no user-related data is collected. In other words, all user data collected in this application is collected with the user's consent and authorization, and the collection, use, and processing of relevant user data must comply with the relevant laws, regulations, and standards of the relevant countries and regions.

[0018] Figure 1 This is a flowchart illustrating a method for monitoring energy storage batteries in RVs, as provided in an embodiment of this application. The method is executed by a computer device and may include: S101: Obtain the total voltage, current, and temperature data of the RV's energy storage battery and the vehicle vibration amplitude data, and determine the vehicle's operating condition type based on the current and vehicle vibration amplitude data.

[0019] In this embodiment, after determining the vehicle operating condition type based on current data and vehicle vibration amplitude data, the method further includes: If the vehicle's operating condition is "driving and charging", then: Acquire solar charging data, vehicle alternator charging data, and mains charging data. Based on the solar charging data, vehicle alternator charging data, and mains charging data, perform smoothing and filtering processing on the current data to obtain stable charging current data. The target remaining power is obtained by fitting and correcting the open-circuit voltage based on stable charging current data, temperature data, and total voltage data.

[0020] In this embodiment, the target remaining power is obtained by fitting and correcting the open-circuit voltage based on stable charging current data, temperature data, and total voltage data, including: The temperature compensation coefficient is determined based on the temperature data, and the initial voltage-electricity mapping model is corrected based on the temperature compensation coefficient to obtain the target voltage-electricity mapping model. The total voltage data is subjected to voltage drop compensation processing based on the stable charging current data to obtain the fitted open-circuit voltage data. Based on the fitted open-circuit voltage data, the target remaining power is calculated using the target voltage-power mapping model.

[0021] In this embodiment, after determining the initial remaining capacity of the energy storage battery based on the ampere-hour integrated cumulative capacity and the rated capacity, the method further includes: If the vehicle's operating condition is a parking high-power discharge state, then: The current data is accumulated and integrated over time to obtain the ampere-hour integrated cumulative capacity. The initial remaining capacity of the energy storage battery is determined based on the ampere-hour integrated cumulative capacity and the rated capacity. Acquire historical static voltage data and historical high-power intermittent discharge data of the energy storage battery of the RV in a static state, and determine the battery capacity decay benchmark data based on the historical static voltage data and historical high-power intermittent discharge data; Acquire real-time discharge rate data, perform capacity compensation processing on the real-time discharge rate data and temperature data, and obtain the currently available effective capacity data; The initial remaining power is corrected based on the currently available effective capacity data to obtain the target remaining power.

[0022] In this embodiment, the driving charging state refers to the charging state of the energy storage battery during the RV's operation. This can include charging the battery via the vehicle's alternator or by using solar panels in conjunction with the alternator. Smoothing filtering is an operation that conditions fluctuating current data, such as using a moving average or weighted average method. Stable charging current data is the fluctuating charging current value after smoothing filtering, used to characterize the actual stable charging current of the battery. Open-circuit voltage fitting correction is a process of fitting and calibrating the battery's open-circuit voltage using multi-dimensional data to improve the accuracy of remaining capacity estimation. The temperature compensation coefficient is a correction parameter obtained based on the battery's temperature characteristics, for example, determined based on the battery performance curves at different temperatures.

[0023] The initial voltage-capacity mapping model is the basic correspondence model between the battery's open-circuit voltage and remaining capacity. For example, it can include a laboratory-calibrated basic voltage-capacity curve model. The target voltage-capacity mapping model is a voltage-capacity correspondence model corrected by a temperature compensation coefficient, used to adapt to capacity estimation at different temperatures. Voltage drop compensation is the operation to eliminate the voltage drop at the battery terminals caused by the charging current. For example, it can calculate and compensate for the voltage drop based on Ohm's law and the battery's internal resistance. The fitted open-circuit voltage data is the equivalent open-circuit voltage value of the battery obtained after voltage drop compensation, used to characterize the battery's true open-circuit voltage state. Parking high-power discharge state refers to the operating state of the battery supplying power to high-power electrical equipment when the RV is parked. For example, it can include the battery discharge state when the air conditioner and induction cooker are operating simultaneously while the RV is parked.

[0024] Historical static voltage data refers to the historical terminal voltage data of the energy storage battery in the RV when it is stationary. This could include voltage data collected after the battery has been stationary under different ambient temperatures. Historical high-power intermittent discharge data refers to the battery's past operational data during high-power intermittent discharges while parked. This could include data such as discharge current, discharge duration, and voltage changes. Battery capacity degradation baseline data is the basic reference data characterizing the capacity degradation caused by battery aging, used to measure the current actual capacity loss of the battery. Real-time discharge rate data is the ratio of the battery's current discharge current to its rated capacity, which can be calculated based on the real-time discharge current and the battery's rated capacity. Capacity compensation processing is an operation that corrects the battery's usable capacity by combining the discharge rate and temperature, used to determine the battery's actual output capacity. Current usable effective capacity data is the actual usable capacity value of the battery obtained after capacity compensation processing, used to characterize the battery's current true usable capacity.

[0025] Considering the various operating conditions faced by RV energy storage batteries, including driving and parking, and the diverse charging sources and complex discharge scenarios, traditional power estimation methods are not adapted to these complex usage characteristics and are prone to estimation errors. Dividing operating conditions based on current and vibration amplitude is crucial because these factors directly reflect the RV's driving status and battery operating mode, laying the foundation for accurate estimation under different operating conditions. Smoothing filtering of the current data during driving charging eliminates current fluctuation interference caused by multi-source charging switching, ensuring the stability of the charging current data. Introducing a temperature compensation coefficient to correct the voltage-power mapping model takes into account the significant impact of temperature on battery electrochemical characteristics, improving the accuracy of open-circuit voltage fitting. During high-power discharge while parked, historical data is used to determine the capacity decay benchmark, and capacity compensation is applied simultaneously. This addresses the characteristics of intermittent high-power discharge in RV parking, balancing the impact of battery aging and real-time operating conditions on capacity, ultimately achieving accurate remaining power estimation under different operating conditions and solving the problem of power estimation errors across all scenarios.

[0026] For example, in this embodiment, the total voltage, current, and temperature data of the RV's energy storage battery can be collected first through the voltage acquisition module, current acquisition module, and temperature sensor of the battery management system. Vehicle vibration amplitude data can be collected through the vehicle vibration sensor. All sensors and acquisition modules continuously collect data at a preset sampling frequency, which can be set to 10 Hz. The collected data is transmitted to the main control unit of the battery management system in real time. After receiving the data, the main control unit determines the vehicle's operating condition type by combining the direction and magnitude of the current data with the vehicle vibration amplitude data. If the vibration amplitude is greater than a preset vibration threshold and the current data indicates a charging direction, it is determined to be in a driving charging state. If the vibration amplitude is less than the preset vibration threshold and the current data indicates a high-power discharge direction, it is determined to be in a parked high-power discharge state.

[0027] For example, in this embodiment, after determining that the vehicle is in a charging state, the main control unit acquires solar charging data, vehicle alternator charging data, and mains charging data through the corresponding signal acquisition interfaces. This data includes the on / off status, output current, and output voltage information of each charging source. The main control unit extracts the charging current fluctuation segment from the current data and, combined with the switching time of each charging source, uses a moving average method to smooth and filter the fluctuating charging current data. The sliding window size can be set to 5 sampling periods. By calculating the average current within the window, current spikes and fluctuations caused by multi-source charging switching are eliminated, resulting in stable charging current data.

[0028] For example, in this embodiment, after obtaining stable charging current data, the main control unit queries and matches the corresponding temperature compensation coefficient based on the pre-stored battery temperature characteristic table and the collected temperature data. The temperature characteristic table is obtained by laboratory calibration through battery performance tests at different temperatures and includes temperature compensation coefficients in the range of -20℃ to 60℃. The main control unit substitutes the temperature compensation coefficients into the initial voltage-capacity mapping model and performs linear correction on the voltage-capacity correspondence in the model to obtain a target voltage-capacity mapping model adapted to the current temperature. Subsequently, the main control unit calculates the ohmic voltage drop of the battery based on the pre-stored battery internal resistance parameters and the stable charging current data. It subtracts this ohmic voltage drop from the collected total voltage data to complete the voltage drop compensation process and obtain the fitted open-circuit voltage data. Finally, the main control unit inputs the fitted open-circuit voltage data into the target voltage-capacity mapping model and calculates the target remaining capacity under the vehicle charging state through the correspondence within the model.

[0029] For example, in this embodiment, after determining that the vehicle is in a high-power discharge state while parked, the main control unit first accumulates and integrates the collected current data over time. During the integration process, the battery's self-discharge capacity is deducted to obtain the accumulated ampere-hour capacity. Then, the ratio of the accumulated ampere-hour capacity to the battery's rated capacity is calculated to determine the initial remaining capacity of the energy storage battery. The main control unit retrieves historical static voltage data and historical high-power intermittent discharge data of the energy storage battery in the RV's stationary state from the battery management system's storage unit. The historical static voltage data is the data collected after the battery has been stationary for more than 2 hours and the voltage has stabilized. The historical high-power intermittent discharge data is the full operational data, including current, voltage, and duration, from past high-power discharges while parked.

[0030] For example, this embodiment statistically analyzes historical static voltage data and historical high-power intermittent discharge data, and compares the battery's rated capacity with the actual charge / discharge capacity to determine the battery capacity degradation baseline data. This data reflects the basic capacity loss of the battery under the current aging level. The main control unit calculates the real-time discharge rate data based on the real-time collected discharge current data and the battery's rated capacity. Then, combined with the collected temperature data, a pre-stored capacity compensation curve is used to perform capacity compensation processing on the real-time discharge rate data and temperature data. The capacity compensation curve calibrates the capacity correction ratio at different discharge rates and temperatures. After compensation, the current available effective capacity data is obtained. The main control unit correlates and corrects the initial remaining capacity with the current available effective capacity data, deducting the capacity loss caused by the discharge rate and temperature, and finally obtains the target remaining capacity under the parking high-power discharge state. The target remaining capacity data under all operating conditions is output in real time through the display unit of the battery management system for user viewing.

[0031] This embodiment addresses the multi-condition usage characteristics of RV energy storage batteries, achieving accurate remaining power estimation across different scenarios and effectively solving the problem of large deviations in traditional estimation methods. During charging while driving, smoothing filters eliminate current fluctuations, and a temperature-corrected voltage-power mapping model improves the accuracy of power estimation during charging. During high-power discharge while parked, historical data is used to determine the capacity decay benchmark, and capacity compensation is performed, taking into account both battery aging and real-time operating conditions, making the discharge power estimation more realistic. The entire process is based on the actual usage scenarios of RVs, adapting to the characteristics of multiple charging sources and high-power intermittent discharge, ensuring a high degree of consistency between the displayed remaining power and the actual usable power, improving the reliability of RV energy storage battery use and providing accurate data for users' power planning.

[0032] S102: If the vehicle operating condition is "driving without charging", the current data is accumulated and integrated over time to obtain the ampere-hour integrated cumulative capacity. The initial remaining capacity of the energy storage battery is determined based on the ampere-hour integrated cumulative capacity and the rated capacity of the energy storage battery. The battery electrochemical polarization correction coefficient is determined based on the total voltage data, temperature data and vibration amplitude data. Electrochemical polarization compensation is performed on the initial remaining capacity based on the battery electrochemical polarization correction coefficient to obtain the target remaining capacity.

[0033] In this embodiment, determining the initial remaining capacity of the energy storage battery based on the ampere-hour integral cumulative capacity and the rated capacity includes: The initial remaining capacity of the energy storage battery is obtained by calculating the ratio of the cumulative capacity in ampere-hours to the rated capacity.

[0034] In this embodiment, the battery electrochemical polarization correction coefficient is determined based on total voltage data, temperature data, and vibration amplitude data, including: The voltage polarization coefficient is determined based on the total voltage data; Determine the temperature influence coefficient based on temperature data; The vibration disturbance coefficient is determined based on the vibration amplitude data; The voltage polarization coefficient, temperature influence coefficient, and vibration disturbance coefficient are weighted and fused to obtain the battery electrochemical polarization correction coefficient.

[0035] In this embodiment, electrochemical polarization compensation is performed on the initial remaining capacity based on the battery electrochemical polarization correction coefficient to obtain the target remaining capacity, including: The remaining capacity data after polarization compensation is obtained by multiplying the initial remaining capacity with the battery electrochemical polarization correction coefficient. The remaining power data after polarization compensation is subjected to amplitude limiting calibration to obtain the target remaining power.

[0036] In this embodiment, the "driving without charging state" refers to the operating state of the energy storage battery during RV operation, where it only discharges externally without charging input. For example, it could include a battery discharge state where only low-power onboard appliances consume power while the RV is in motion. The voltage polarization coefficient is a polarization correction parameter obtained based on the total battery voltage data, and can be determined based on the polarization characteristics at different terminal voltages. The temperature influence coefficient is a polarization correction parameter obtained by combining battery temperature data, and can be calibrated based on the degree of polarization in different temperature ranges. The vibration disturbance coefficient is a polarization correction parameter obtained based on vehicle vibration amplitude data, and can be determined based on the degree of polarization interference corresponding to different vibration intensities. Weighted fusion is an operation that comprehensively calculates multiple coefficients according to preset weights, such as assigning weights based on the degree of influence of each coefficient on polarization. The remaining battery power data after polarization compensation is the value obtained by multiplying the initial remaining battery power by the polarization correction coefficient, used to characterize the remaining battery power after preliminary compensation. Limiting calibration is an operation that limits the compensated battery power data to a reasonable value range, such as limiting the data to a reasonable range of zero to 100%.

[0037] Considering that vibrations, temperature changes, and voltage fluctuations when a motorhome is not charging can cause electrochemical polarization in the battery, leading to inaccuracies in the remaining battery capacity estimated using the ampere-hour integration method, this paper determines the corresponding polarization coefficients by considering total voltage, temperature, and vibration amplitude, as these three types of data are directly related to different factors influencing electrochemical polarization. Weighted fusion of these coefficients integrates the polarization effects of each factor, resulting in accurate polarization correction coefficients. Polarization compensation is achieved through product operations, combined with amplitude limiting calibration to avoid data anomalies, ultimately eliminating estimation errors caused by polarization and improving the accuracy of remaining battery capacity estimation when the vehicle is not charging.

[0038] For example, in this embodiment, after determining that the vehicle's operating condition is "driving without charging," the current acquisition module of the battery management system continuously acquires current data at a preset sampling frequency. The current data is then accumulated and integrated over time, with the battery's self-discharge capacity loss deducted simultaneously during the integration process to obtain the accumulated ampere-hour capacity. Subsequently, the ratio of the accumulated ampere-hour capacity to the rated capacity of the energy storage battery is calculated directly to obtain the initial remaining capacity of the energy storage battery.

[0039] In this embodiment, after obtaining the initial remaining battery power, the battery electrochemical polarization correction coefficient is determined. First, the real-time collected total voltage data is extracted and combined with the pre-stored battery polarization characteristic table. The corresponding voltage polarization coefficient is matched according to the real-time change value of the total voltage. At the same time, based on the collected temperature data, the temperature influence coefficient matching the current temperature is obtained from the pre-stored temperature-coefficient calibration table. Then, based on the vehicle vibration amplitude data, the vibration disturbance coefficient is determined according to the preset vibration intensity-coefficient correspondence.

[0040] In this embodiment, the voltage polarization coefficient, temperature influence coefficient, and vibration disturbance coefficient are weighted and fused. Based on the influence weight of each coefficient on electrochemical polarization as determined by experiments in this field, corresponding weight values ​​are assigned to the three types of coefficients respectively. The weighted three types of coefficients are then comprehensively calculated to obtain the battery electrochemical polarization correction coefficient.

[0041] This embodiment multiplies the previously obtained initial remaining capacity with the battery electrochemical polarization correction coefficient, directly calculating the product to obtain the polarization-compensated remaining capacity data. This embodiment then performs amplitude limiting calibration on this data, correcting any values ​​exceeding the reasonable range of zero to 100% to the range boundary, ensuring the data conforms to the actual physical meaning of the battery's remaining capacity. The amplitude-limited calibrated data is the target remaining capacity of the energy storage battery under the condition of the vehicle not being charged. This embodiment transmits this target remaining capacity to the display unit in real time for user viewing.

[0042] This embodiment addresses the unique characteristics of RVs operating without charging, eliminating the estimation bias of remaining battery capacity caused by electrochemical polarization. It determines the corresponding polarization coefficient through multi-dimensional data and weighted fusion, making the polarization correction coefficient more closely reflect actual operating conditions. The product operation combined with amplitude-limiting calibration compensation achieves accurate polarization compensation while avoiding data anomalies. Ultimately, this results in a more accurate estimation of remaining battery capacity when the vehicle is not charging, with the displayed value highly consistent with the actual available value, providing a reliable basis for power planning during RV travel.

[0043] In one embodiment of this application, the energy storage battery monitoring method applied to RVs further includes: Acquire historical charge-discharge cycle data, historical temperature data, and historical available capacity change data of energy storage batteries; Determine the cycle decay coefficient based on historical charge-discharge cycle data; Determine the high-temperature aging coefficient based on historical temperature data; Determine the capacity decay rate based on historical available capacity change data; The cycle decay coefficient, high temperature aging coefficient and capacity decay rate are weighted and fused to obtain battery health status data; The battery health status data is compared with the preset health threshold to obtain battery health warning information.

[0044] In this embodiment, historical charge-discharge cycle data refers to the number of charge-discharge cycles completed by the energy storage battery in the past and the corresponding cycle process data, such as the number of complete charge-discharge cycles and the depth of charge-discharge in each cycle. The cycle decay coefficient is a parameter characterizing the capacity decay of the battery due to charge-discharge cycles, and can be determined, for example, based on the correlation between the number of cycles and capacity decay. The high-temperature aging coefficient is a parameter reflecting the impact of high-temperature environments on battery aging, and can be calibrated, for example, based on the historical cumulative duration of high temperatures. The capacity decay rate is a parameter characterizing how quickly the battery capacity decays over time, and can be calculated, for example, based on the capacity change values ​​at different time periods. Battery health status data is a numerical value that comprehensively reflects the overall health of the battery and is used to characterize the current performance state of the battery. The health threshold is a preset benchmark value for judging the battery health status, and can be set, for example, based on the battery's rated performance indicators. Battery health warning information is a prompt message when the battery health status is abnormal, and can include, for example, capacity decay warnings, aging abnormality warnings, etc.

[0045] Considering that the aging of RV batteries is caused by multiple factors, including charge-discharge cycles, high-temperature environments, and continuous capacity decay, a single indicator cannot accurately reflect the battery's health status. This embodiment determines the corresponding aging coefficient and decay rate through different historical data. The health status data obtained after weighted fusion can comprehensively reflect the influence of various factors. Combined with preset threshold comparison, it can promptly identify battery health anomalies and achieve early warning.

[0046] For example, in this embodiment, the historical charge-discharge cycle data, historical temperature data, and historical available capacity change data of the energy storage battery are first retrieved from the storage unit of the battery management system. The historical charge-discharge cycle data is recorded by the battery management system throughout the process, the historical temperature data is continuously collected and stored by the temperature sensor, and the historical available capacity change data is obtained by summarizing the actual capacity detection results of each charge-discharge cycle.

[0047] This embodiment uses historical charge-discharge cycle data, combined with pre-stored calibration relationships between the number of charge-discharge cycles and capacity decay, to statistically determine the cumulative number of charge-discharge cycles and the corresponding degree of decay, thereby determining the cycle decay coefficient. Simultaneously, this embodiment performs statistical analysis on historical temperature data, identifies high-temperature periods exceeding the battery's suitable operating temperature, accumulates their duration, and determines the high-temperature aging coefficient based on the correlation calibration data between high-temperature duration and battery aging.

[0048] This embodiment processes historical available capacity change data, calculates the difference between the battery's available capacity and rated capacity at different time points, and analyzes the capacity change trend over a time span to determine the capacity decay rate. This embodiment performs weighted fusion processing on the cycle decay coefficient, high-temperature aging coefficient, and capacity decay rate. Based on the experimental calibration weights of each factor's impact on battery health, corresponding weights are assigned to the three types of parameters, and battery health status data is obtained through comprehensive calculation.

[0049] In this embodiment, the obtained battery health status data is compared with a preset health threshold. The preset health threshold is set according to the battery design and usage standards and industry specifications. If the battery health status data is lower than the threshold, the battery health status is determined to be abnormal. The battery management system generates corresponding battery health warning information, which can be displayed on the RV's display terminal to realize real-time monitoring and abnormal warning of battery health status.

[0050] This embodiment comprehensively assesses battery health status using multi-dimensional historical data, overcoming the limitations of single-indicator assessments and making battery health status data more consistent with actual aging conditions. This embodiment achieves accurate assessment through weighted fusion and generates timely warning information by combining threshold comparisons, enabling early identification of battery degradation and aging anomalies. This provides a scientific basis for the maintenance and replacement of RV batteries, improving the safety and reliability of battery use.

[0051] Corresponding to the energy storage battery monitoring method for RVs described in the above embodiments, Figure 2 This is a structural block diagram of an energy storage battery monitoring device for a recreational vehicle, provided as an embodiment of this application. For ease of explanation, only the parts relevant to the embodiment of this application are shown. References Figure 2 The energy storage battery monitoring device 20 applied to RVs includes: a working condition identification module 21 and a first battery monitoring module 22.

[0052] Among them, the working condition identification module 21 is used to acquire the total voltage data, current data, temperature data and vehicle vibration amplitude data of the RV's energy storage battery, and determine the vehicle working condition type based on the current data and vehicle vibration amplitude data. The first battery monitoring module 22 is used to accumulate and integrate the current data over time to obtain the ampere-hour integrated cumulative capacity if the vehicle operating condition is driving and not charging. Based on the ampere-hour integrated cumulative capacity and the rated capacity of the energy storage battery, the module determines the initial remaining capacity of the energy storage battery. Based on the total voltage data, temperature data and vibration amplitude data, the module determines the battery electrochemical polarization correction coefficient. Based on the battery electrochemical polarization correction coefficient, the module performs electrochemical polarization compensation on the initial remaining capacity to obtain the target remaining capacity.

[0053] In one embodiment of this application, the energy storage battery monitoring device 20 applied to a motorhome further includes: a second battery monitoring module, used to: if the vehicle's operating condition is a driving and charging state, then: Acquire solar charging data, vehicle alternator charging data, and mains charging data. Based on the solar charging data, vehicle alternator charging data, and mains charging data, perform smoothing and filtering processing on the current data to obtain stable charging current data. The target remaining power is obtained by fitting and correcting the open-circuit voltage based on stable charging current data, temperature data, and total voltage data.

[0054] In one embodiment of this application, the second battery monitoring module is specifically used to: determine a temperature compensation coefficient based on temperature data; correct the initial voltage-to-power mapping model based on the temperature compensation coefficient to obtain a target voltage-to-power mapping model; perform voltage drop compensation processing on the total voltage data based on stable charging current data to obtain fitted open-circuit voltage data; and calculate the target remaining power based on the fitted open-circuit voltage data and the target voltage-to-power mapping model.

[0055] In one embodiment of this application, the energy storage battery monitoring device 20 applied to a motorhome further includes: a third battery monitoring module, used for: If the vehicle's operating condition is a parking high-power discharge state, then: The current data is accumulated and integrated over time to obtain the ampere-hour integrated cumulative capacity. The initial remaining capacity of the energy storage battery is determined based on the ampere-hour integrated cumulative capacity and the rated capacity. Acquire historical static voltage data and historical high-power intermittent discharge data of the energy storage battery of the RV in a static state, and determine the battery capacity decay benchmark data based on the historical static voltage data and historical high-power intermittent discharge data; Acquire real-time discharge rate data, perform capacity compensation processing on the real-time discharge rate data and temperature data, and obtain the currently available effective capacity data; The initial remaining power is corrected based on the currently available effective capacity data to obtain the target remaining power.

[0056] In one embodiment of this application, the first battery monitoring module 22 is specifically used to: determine the voltage polarization coefficient based on total voltage data; determine the temperature influence coefficient based on temperature data; determine the vibration disturbance coefficient based on vibration amplitude data; and perform weighted fusion of the voltage polarization coefficient, temperature influence coefficient, and vibration disturbance coefficient to obtain the battery electrochemical polarization correction coefficient.

[0057] In one embodiment of this application, the first battery monitoring module 22 is further configured to: perform a product operation based on the initial remaining power and the battery electrochemical polarization correction coefficient to obtain the remaining power data after polarization compensation; and perform amplitude limiting calibration on the remaining power data after polarization compensation to obtain the target remaining power.

[0058] In one embodiment of this application, the energy storage battery monitoring device 20 applied to a motorhome further includes: a battery health analysis module, used for: Acquire historical charge-discharge cycle data, historical temperature data, and historical available capacity change data of energy storage batteries; Determine the cycle decay coefficient based on historical charge-discharge cycle data; Determine the high-temperature aging coefficient based on historical temperature data; Determine the capacity decay rate based on historical available capacity change data; The cycle decay coefficient, high temperature aging coefficient and capacity decay rate are weighted and fused to obtain battery health status data; The battery health status data is compared with the preset health threshold to obtain battery health warning information.

[0059] It should be noted that the specific limitations of the above-described embodiment of the energy storage battery monitoring device 20 for RVs can be found in the limitations of the energy storage battery monitoring method for RVs described above, and will not be repeated here. Each module of the above device can be implemented entirely or partially through software, hardware, or a combination thereof. Each module can be embedded in the processor of the computer device in hardware form or independent of it, or it can be stored in the memory of the computer device in software form, so that the processor can call and execute the corresponding operations of each module.

[0060] This application also provides a computer device, which includes: a processor and a memory, wherein the memory stores a computer program; the processor is used to execute the computer program in the memory to implement the energy storage battery monitoring method for RVs provided in the above-described method embodiments.

[0061] This application also provides a computer device, which includes a processor and a memory, wherein at least one computer program is stored in the memory. The at least one computer program is loaded and executed by one or more processors to enable the computer device to implement any of the above-described energy storage battery monitoring methods applied to RVs. The computer device can be a server or a terminal; the structures of servers and terminals will be described below.

[0062] Figure 3 This is a schematic diagram of a server structure provided in an embodiment of this application. The server can vary significantly due to differences in configuration or performance. It may include one or more Central Processing Units (CPUs) 31 and one or more memories 32. The one or more memories 32 store at least one computer program, which is loaded and executed by the one or more processors 31 to enable the server to implement the energy storage battery monitoring method for RVs provided in the various method embodiments described above. Of course, the server may also have wired or wireless network interfaces, a keyboard, and input / output interfaces for input and output. The server may also include other components for implementing device functions, which will not be elaborated upon here.

[0063] Figure 4 This is a schematic diagram of the structure of a terminal provided in an embodiment of this application. The terminal may also be referred to as user equipment, portable terminal, laptop terminal, desktop terminal, or other names.

[0064] Typically, a terminal includes a processor 41 and a memory 42.

[0065] Processor 41 may include one or more processing cores, such as a quad-core processor, an octa-core processor, etc. Processor 41 may be implemented using at least one hardware form selected from DSP (Digital Signal Processing), FPGA (Field-Programmable Gate Array), and PLA (Programmable Logic Array). Processor 41 may also include a main processor and a coprocessor. The main processor, also known as a CPU (Central Processing Unit), is used to process data in the wake-up state; the coprocessor is a low-power processor used to process data in the standby state. In some embodiments, processor 41 may integrate a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content to be displayed on the screen. In some embodiments, processor 41 may also include an AI (Artificial Intelligence) processor, which is used to handle computational operations related to machine learning.

[0066] The memory 42 may include one or more computer-readable storage media, which may be non-transitory. The memory 42 may also include high-speed random access memory and non-volatile memory, such as one or more disk storage devices or flash memory devices. In some embodiments, the non-transitory computer-readable storage media in the memory 42 is used to store at least one instruction, which is executed by the processor 41 to enable the terminal to implement the energy storage battery monitoring method for RVs provided in the method embodiments of this application.

[0067] In some embodiments, the terminal may also optionally include: a peripheral device interface 43 and at least one peripheral device. The processor 41, memory 42, and peripheral device interface 43 can be connected via a bus or signal line. Each peripheral device can be connected to the peripheral device interface 43 via a bus, signal line, or circuit board. Specifically, the peripheral device includes at least one of: a radio frequency circuit 44, a display screen 45, a camera assembly 46, an audio circuit 47, and a power supply 48.

[0068] Peripheral interface 43 can be used to connect at least one I / O (Input / Output) related peripheral device to processor 41 and memory 42. In some embodiments, processor 41, memory 42 and peripheral interface 43 are integrated on the same chip or circuit board; in some other embodiments, any one or two of processor 41, memory 42 and peripheral interface 43 can be implemented on separate chips or circuit boards, which is not limited in this embodiment.

[0069] The radio frequency (RF) circuit 44 is used to receive and transmit RF (Radio Frequency) signals, also known as electromagnetic signals. The RF circuit 44 communicates with communication networks and other communication devices via electromagnetic signals. The RF circuit 44 converts electrical signals into electromagnetic signals for transmission, or converts received electromagnetic signals back into electrical signals. Optionally, the RF circuit 44 includes: an antenna system, an RF transceiver, one or more amplifiers, a tuner, an oscillator, a digital signal processor, a codec chipset, a user identity module card, etc. The RF circuit 44 can communicate with other terminals through at least one wireless communication protocol. This wireless communication protocol includes, but is not limited to: metropolitan area networks (MANs), various generations of mobile communication networks (2G, 3G, 4G, and 5G), wireless local area networks (WLANs), and / or WiFi (Wireless Fidelity) networks. In some embodiments, the RF circuit 44 may also include circuitry related to NFC (Near Field Communication), which is not limited in this application.

[0070] The display screen 45 is used to display a UI (User Interface). This UI may include graphics, text, icons, videos, and any combination thereof. When the display screen 45 is a touch display, it also has the ability to collect touch signals on or above its surface. These touch signals can be input as control signals to the processor 41 for processing. In this case, the display screen 45 can also be used to provide virtual buttons and / or a virtual keyboard, also known as soft buttons and / or a soft keyboard. In some embodiments, there may be one display screen 45, located on the front panel of the terminal; in other embodiments, there may be at least two display screens, respectively located on different surfaces of the terminal or in a folded design; in still other embodiments, the display screen 45 may be a flexible display screen, located on a curved or folded surface of the terminal. Furthermore, the display screen 45 may be configured as a non-rectangular, irregular shape, i.e., a non-rectangular screen. The display screen 45 may be made of materials such as LCD (Liquid Crystal Display) or OLED (Organic Light-Emitting Diode).

[0071] The camera assembly 46 is used to acquire images or videos. Optionally, the camera assembly 46 includes a front-facing camera and a rear-facing camera. Typically, the front-facing camera is located on the front panel of the terminal, and the rear-facing camera is located on the back of the terminal. In some embodiments, there are at least two rear-facing cameras, which are any one of a main camera, a depth-sensing camera, a wide-angle camera, and a telephoto camera, to achieve background blurring by fusion of the main camera and the depth-sensing camera, panoramic shooting by fusion of the main camera and the wide-angle camera, VR (Virtual Reality) shooting, or other fusion shooting functions. In some embodiments, the camera assembly 46 may also include a flash. The flash can be a single-color temperature flash or a dual-color temperature flash. A dual-color temperature flash refers to a combination of a warm-light flash and a cool-light flash, which can be used for light compensation at different color temperatures.

[0072] The audio circuit 47 may include a microphone and a speaker. The microphone is used to collect sound waves from the user and the environment, converting them into electrical signals that are input to the processor 41 for processing, or to the radio frequency circuit 44 for voice communication. For stereo sound acquisition or noise reduction purposes, multiple microphones may be used, each positioned at a different location on the terminal. The microphone may also be an array microphone or an omnidirectional microphone. The speaker is used to convert electrical signals from the processor 41 or the radio frequency circuit 44 into sound waves. The speaker may be a traditional film speaker or a piezoelectric ceramic speaker. When the speaker is a piezoelectric ceramic speaker, it can convert electrical signals not only into audible sound waves but also into inaudible sound waves for purposes such as distance measurement. In some embodiments, the audio circuit 47 may also include a headphone jack.

[0073] The power source 48 is used to power the various components in the terminal. The power source 48 can be AC ​​power, DC power, a disposable battery, or a rechargeable battery. When the power source 48 includes a rechargeable battery, the rechargeable battery can support wired or wireless charging. The rechargeable battery can also be used to support fast charging technology.

[0074] In some embodiments, the terminal further includes one or more sensors 49. The one or more sensors 49 include, but are not limited to: an accelerometer 410, a gyroscope 411, a pressure sensor 412, an optical sensor 413, and a proximity sensor 414.

[0075] Accelerometer 410 can detect the magnitude of acceleration along the three coordinate axes of a coordinate system established by the terminal. For example, accelerometer 410 can be used to detect the components of gravitational acceleration along the three coordinate axes. Processor 41 can control display screen 45 to display the user interface in either a landscape or portrait view based on the gravitational acceleration signal acquired by accelerometer 410. Accelerometer 410 can also be used for collecting motion data from games or users.

[0076] The gyroscope sensor 411 can detect the terminal's orientation and rotation angle. The gyroscope sensor 411 can work in conjunction with the accelerometer sensor 410 to collect the user's 3D movements on the terminal. Based on the data collected by the gyroscope sensor 411, the processor 41 can perform the following functions: motion sensing (e.g., changing the UI based on the user's tilt), image stabilization during shooting, game control, and inertial navigation.

[0077] The pressure sensor 412 can be disposed on the side bezel of the terminal and / or the lower layer of the display screen 45. When the pressure sensor 412 is disposed on the side bezel of the terminal, it can detect the user's grip signal on the terminal, and the processor 41 can perform left / right hand recognition or quick operation based on the grip signal collected by the pressure sensor 412. When the pressure sensor 412 is disposed on the lower layer of the display screen 45, the processor 41 can control the operable controls on the UI interface based on the user's pressure operation on the display screen 45. The operable controls include at least one of button controls, scroll bar controls, icon controls, and menu controls.

[0078] Optical sensor 413 is used to collect ambient light intensity. In one embodiment, processor 41 can control the display brightness of display screen 45 based on the ambient light intensity collected by optical sensor 413. Specifically, when the ambient light intensity is high, the display brightness of display screen 45 is increased; when the ambient light intensity is low, the display brightness of display screen 45 is decreased. In another embodiment, processor 41 can also dynamically adjust the shooting parameters of camera assembly 46 based on the ambient light intensity collected by optical sensor 413.

[0079] The proximity sensor 414, also known as a distance sensor, is typically installed on the front panel of the terminal. The proximity sensor 414 is used to detect the distance between the user and the front of the terminal. In one embodiment, when the proximity sensor 414 detects that the distance between the user and the front of the terminal is gradually decreasing, the processor 41 controls the display screen 45 to switch from a screen-on state to a screen-off state; when the proximity sensor 414 detects that the distance between the user and the front of the terminal is gradually increasing, the processor 41 controls the display screen 45 to switch from a screen-off state to a screen-on state.

[0080] Those skilled in the art will understand that Figure 4The structure shown does not constitute a limitation on the terminal and may include more or fewer components than shown, or combine certain components, or use different component arrangements.

[0081] In an exemplary embodiment, a computer-readable storage medium is also provided, which stores at least one computer program, which is loaded and executed by a processor of a computer device to enable the computer to implement any of the above-described energy storage battery monitoring methods applied to RVs.

[0082] In one possible implementation, the aforementioned computer-readable storage medium can be a read-only memory (ROM), a random access memory (RAM), a solid-state drive (SSD), a compact disc read-only memory (CD-ROM), magnetic tape, a floppy disk, and an optical data storage device, etc. The random access memory can include resistive random access memory (ReRAM) and dynamic random access memory (DRAM).

[0083] In an exemplary embodiment, a computer program or computer program product is also provided, the computer program or computer program product including computer instructions that are loaded and executed by a processor to enable the computer to implement any of the above-described energy storage battery monitoring methods applied to RVs.

[0084] It should be noted that the information (including but not limited to user device information, user personal information, etc.), data (including but not limited to data used for analysis, data stored, data displayed, etc.) and signals involved in this application are all authorized by the user or fully authorized by all parties, and the collection, use and processing of related data must comply with the relevant laws, regulations and standards of the relevant countries and regions.

[0085] In other words, the data collection and processing in this application should strictly comply with the requirements of relevant national laws and regulations, obtain the informed consent or separate consent of the personal information subject, and carry out subsequent data use and processing within the scope of laws and regulations and the authorization of the personal information subject.

[0086] It should be further noted that the terms "first," "second," etc., used in this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. The implementation methods described in the above exemplary embodiments do not represent all implementation methods consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application.

[0087] It should be understood that "multiple" as used in this article refers to two or more. "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A alone, A and B simultaneously, or B alone. The character " / " generally indicates that the preceding and following related objects have an "or" relationship.

[0088] Furthermore, the step numbers described herein are merely illustrative of one possible execution order between steps. In some other embodiments, the steps may not be executed in the order of their numbers, such as two steps with different numbers being executed simultaneously, or two steps with different numbers being executed in the reverse order of the illustration. This application does not limit this.

[0089] Those skilled in the art will understand that all or part of the steps of the above embodiments can be implemented by hardware or by a program instructing related hardware. Optionally, the program is stored in a computer-readable storage medium, such as a read-only memory, a disk, or an optical disk.

[0090] The above description is merely an exemplary embodiment of this application and is not intended to limit this application. Any modifications, equivalent substitutions, improvements, etc., made within the principles of this application should be included within the protection scope of this application.

Claims

1. A method for monitoring energy storage batteries in RVs, characterized in that, include: Acquire the total voltage data, current data, temperature data, and vehicle vibration amplitude data of the RV's energy storage battery, and determine the vehicle's operating condition type based on the current data and the vehicle vibration amplitude data; If the vehicle operating condition is a driving but not charging state, the current data is accumulated and integrated over time to obtain the ampere-hour integrated cumulative capacity. The initial remaining capacity of the energy storage battery is determined based on the ampere-hour integrated cumulative capacity and the rated capacity of the energy storage battery. Based on the total voltage data, the temperature data, and the vibration amplitude data, the battery electrochemical polarization correction coefficient is determined. Based on the battery electrochemical polarization correction coefficient, electrochemical polarization compensation is performed on the initial remaining charge to obtain the target remaining charge.

2. The energy storage battery monitoring method for RVs as described in claim 1, characterized in that, After determining the vehicle operating condition type based on the current data and the vehicle vibration amplitude data, the method further includes: If the vehicle operating condition is in a driving and charging state, then: Acquire solar charging data, vehicle alternator charging data, and mains charging data; perform smoothing filtering on the current data based on the solar charging data, vehicle alternator charging data, and mains charging data to obtain stable charging current data; Based on the stable charging current data, the temperature data, and the total voltage data, an open-circuit voltage fitting correction is performed to obtain the target remaining power.

3. The energy storage battery monitoring method for RVs as described in claim 2, characterized in that, The step of performing open-circuit voltage fitting correction based on the stable charging current data, the temperature data, and the total voltage data to obtain the target remaining power includes: Based on the temperature data, a temperature compensation coefficient is determined, and the initial voltage-to-electricity mapping model is corrected based on the temperature compensation coefficient to obtain the target voltage-to-electricity mapping model. Based on the stable charging current data, voltage drop compensation processing is performed on the total voltage data to obtain fitted open-circuit voltage data. Based on the fitted open-circuit voltage data, the target remaining power is calculated using the target voltage-power mapping model.

4. The energy storage battery monitoring method for RVs as described in claim 1, characterized in that, After determining the initial remaining capacity of the energy storage battery based on the integral cumulative capacity in ampere-hours and the rated capacity, the method further includes: If the vehicle operating condition is a parking high-power discharge state, then: The current data is accumulated and integrated over time to obtain the ampere-hour integrated cumulative capacity. The initial remaining capacity of the energy storage battery is determined based on the ampere-hour integrated cumulative capacity and the rated capacity. Obtain historical static voltage data and historical high-power intermittent discharge data of the energy storage battery of the RV in a static state, and determine the battery capacity decay benchmark data based on the historical static voltage data and historical high-power intermittent discharge data; Acquire real-time discharge rate data, and perform capacity compensation processing on the real-time discharge rate data and temperature data to obtain the currently available effective capacity data; The initial remaining power is corrected based on the currently available effective capacity data to obtain the target remaining power.

5. The energy storage battery monitoring method for RVs as described in claim 1, characterized in that, The determination of the battery electrochemical polarization correction coefficient based on the total voltage data, the temperature data, and the vibration amplitude data includes: The voltage polarization coefficient is determined based on the total voltage data; The temperature influence coefficient is determined based on the temperature data; The vibration disturbance coefficient is determined based on the vibration amplitude data; The voltage polarization coefficient, the temperature influence coefficient, and the vibration disturbance coefficient are weighted and fused to obtain the battery electrochemical polarization correction coefficient.

6. The energy storage battery monitoring method for RVs as described in claim 1, characterized in that, The step of electrochemically polarizing the initial remaining capacity based on the battery electrochemical polarization correction coefficient to obtain the target remaining capacity includes: The remaining power data after polarization compensation is obtained by multiplying the initial remaining power with the battery electrochemical polarization correction coefficient. The remaining power data after polarization compensation is subjected to amplitude limiting calibration to obtain the target remaining power.

7. The energy storage battery monitoring method for RVs as described in claim 1, characterized in that, Also includes: Acquire historical charge-discharge cycle data, historical temperature data, and historical available capacity change data of the energy storage battery; The cycle decay coefficient is determined based on the historical charge-discharge cycle data. The high-temperature aging coefficient is determined based on the historical temperature data. The capacity decay rate is determined based on the historical available capacity change data. The cycle decay coefficient, the high temperature aging coefficient, and the capacity decay rate are weighted and fused to obtain battery health status data. The battery health status data is compared with a preset health threshold to obtain battery health warning information.

8. A monitoring device for energy storage batteries used in RVs, characterized in that, include: The operating condition identification module is used to acquire the total voltage data, current data, temperature data and vehicle vibration amplitude data of the RV's energy storage battery, and determine the vehicle operating condition type based on the current data and the vehicle vibration amplitude data. The first battery monitoring module is used to accumulate and integrate the current data over time if the vehicle operating condition is a driving and not charging state, to obtain the ampere-hour integrated cumulative capacity, and to determine the initial remaining capacity of the energy storage battery based on the ampere-hour integrated cumulative capacity and the rated capacity of the energy storage battery. Based on the total voltage data, the temperature data, and the vibration amplitude data, the battery electrochemical polarization correction coefficient is determined. Based on the battery electrochemical polarization correction coefficient, electrochemical polarization compensation is performed on the initial remaining charge to obtain the target remaining charge.

9. A computer device, characterized in that, The computer device includes a processor and a memory, the memory storing a computer program, which is loaded and executed by the processor to implement the energy storage battery monitoring method for RVs as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, which is loaded and executed by a processor to implement the energy storage battery monitoring method for RVs as described in any one of claims 1 to 7.

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