IVI-based storage battery low-voltage charging method, device and equipment and medium

Abstract

The invention discloses a storage battery low-voltage charging method and device based on IVI, equipment and a medium, and relates to the technical field of vehicle-mounted interconnection. When the voltage of the storage battery is lower than a preset safety threshold value or the dormancy time of the vehicle exceeds a preset dormancy time or the number of times of successful charging is lower than a preset number of times, an awakening message is sent to a whole vehicle network to awaken the vehicle, and a low-voltage charging request signal is sent to the whole vehicle network to enable the vehicle to send a signal to control the power battery to charge the storage battery. The intelligent cabin area controller IVI monitors the voltage of the storage battery, the vehicle dormancy time and the number of times of charging, the whole vehicle network is awakened and low-voltage charging is requested when the voltage is lower than a threshold value, the management efficiency and safety of the vehicle storage battery are improved, and the starting reliability of the vehicle is ensured.

Description

Technical Field

[0001] The present invention relates to the field of vehicle-mounted interconnection technology, and in particular to an IVI-based low-voltage battery charging method, device, equipment and medium. Background Art

[0002] With the rapid development of automotive electronics and intelligence, the low-voltage system of the vehicle (such as the battery) is essential to maintain the normal operation of the vehicle. The battery not only provides the necessary energy for the vehicle to start, but also provides power for many electronic devices in the vehicle. However, when the vehicle is parked or used for a long time, the battery may reduce the power due to the dark current consumption of the whole vehicle, which may cause the vehicle to fail to start normally. Therefore, how to effectively monitor and manage the battery power to ensure that the vehicle can start smoothly when needed has become an important issue facing the automotive industry.

[0003] Currently, the monitoring and management of battery charge usually relies on independent battery charge sensors. These sensors directly measure the battery voltage and convert it into a digital signal for processing by the vehicle's control unit (such as the body control module). When the battery is detected to be low, the control unit triggers the recharging process, usually by starting the vehicle's generator or connecting an external charger to charge the battery.

[0004] Although existing technologies have made some progress, they still have obvious shortcomings. Independent battery charge sensors increase the cost of vehicle manufacturing, especially in mass production, these costs will increase significantly, and then the reaction speed when monitoring the low battery charge is not fast enough, resulting in the inability to start the charging process in time in some cases. And most of them lack intelligent processing capabilities and cannot dynamically adjust the charging strategy according to the specific usage and historical data of the vehicle. Therefore, there is an urgent need for a method to initiate low-voltage charging when the vehicle battery is low to improve the efficiency and safety of vehicle battery management. Summary of the invention

[0005] The main purpose of this application is to provide a method, device, equipment and medium for low-voltage battery charging based on IVI, aiming to solve the technical problem of how to improve the efficiency and safety of vehicle battery management.

[0006] To achieve the above objectives, the present application proposes a low-voltage battery charging method based on IVI, the method comprising:

[0007] Obtain battery voltage, vehicle sleep time and number of successful recharging times;

[0008] When the battery voltage is lower than a preset safety threshold or the vehicle sleep time exceeds a preset sleep time or the number of successful power replenishment times is lower than a preset number, a wake-up message is sent to the vehicle network to wake up the vehicle;

[0009] Send a low-voltage power replenishment request signal to the vehicle network, so that the vehicle sends a signal to control the power battery to charge the storage battery.

[0010] In one embodiment, the step of sending a low-voltage power replenishment request signal to the vehicle network so that the vehicle sends a signal to control the power battery to charge the storage battery includes:

[0011] Sending a low-voltage power replenishment request signal to the vehicle network, so that when the vehicle network receives the low-voltage power replenishment request signal, it sends a charging signal to the battery for charging;

[0012] receiving a charging status feedback signal;

[0013] When the charging status feedback signal indicates that charging is completed, the sending of the wake-up message and the low-voltage supplementary power request signal is stopped.

[0014] In one embodiment, the step of sending a low-voltage power supplement request signal to the vehicle network so that the vehicle sends a signal to control the power battery to charge the storage battery also includes:

[0015] When the charging status feedback signal is not received within a preset time or the charging status feedback signal indicates charging failure, obtaining the number of charging failures;

[0016] When the number of power replenishment failures does not exceed the preset waiting time, resending the low-voltage power replenishment request signal;

[0017] When the number of power replenishment failures exceeds the preset waiting time, stop sending the low-voltage power replenishment request signal until the vehicle power state is switched from the off state to the on state, reset the number of power replenishment failures, and resend the low-voltage power replenishment request signal when the low-voltage power replenishment conditions are met.

[0018] In one embodiment, the step of sending a low-voltage power supplement request signal to the vehicle network so that the vehicle sends a signal to control the power battery to charge the storage battery also includes:

[0019] Obtaining an estimated charging time parameter, wherein the estimated charging time parameter is calculated based on historical charging data and a current battery state;

[0020] The output strategy of the power battery is optimized according to the estimated charging time parameter.

[0021] In one embodiment, before the step of optimizing the output strategy of the power battery according to the estimated charging time parameter, the step includes:

[0022] Get the battery charging status;

[0023] Based on the charging state, obtaining an actual charging time;

[0024] Obtaining a charging time deviation according to the actual charging time and the estimated charging time parameter;

[0025] When the charging time deviation exceeds a preset value, adaptive learning is triggered to update the estimated charging time parameter.

[0026] In one embodiment, when the battery voltage is lower than a preset safety threshold or the vehicle sleep time exceeds a preset sleep time or the number of successful power replenishment is lower than a preset number, the step of sending a wake-up message to the vehicle network to wake up the vehicle includes:

[0027] Performing self-diagnosis processing to obtain a diagnosis result, wherein the self-diagnosis process includes software status checking, hardware interface detection and communication protocol verification;

[0028] When the diagnosis result is normal, the battery voltage is lower than the preset safety threshold, the vehicle sleep time exceeds the preset sleep time, or the number of successful recharging is lower than the preset number, a wake-up message is sent to the vehicle network, and the wake-up message includes waking up DCDC / OBC, all-in-one controller, BMS and IBCM / CCM;

[0029] When the vehicle network is awakened, a low-voltage power replenishment request signal is sent.

[0030] In one embodiment, the step of obtaining the battery voltage includes:

[0031] Get the initial voltage;

[0032] Performing nonlinear filtering on the initial voltage to obtain a battery voltage, wherein the nonlinear filtering is at least one of a median filter, a Gaussian filter, or a Kalman filter;

[0033] After obtaining the battery voltage, it also includes:

[0034] When the battery voltage is detected to be lower than the preset safety threshold, the voltage drop rate is recorded and compared with the preset drop rate threshold to determine whether the voltage drop is abnormal.

[0035] In addition, to achieve the above purpose, the present application also proposes a low-voltage battery charging device based on IVI, and the low-voltage battery charging device based on IVI includes:

[0036] An acquisition module is used to obtain the battery voltage, vehicle sleep time and number of successful recharging times;

[0037] A sending module, used for sending a wake-up message to the vehicle network to wake up the vehicle when the battery voltage is lower than a preset safety threshold or the vehicle sleep time exceeds a preset sleep time or the number of successful power replenishment times is lower than a preset number;

[0038] The execution module is used to send a low-voltage power replenishment request signal to the vehicle network, so that the vehicle sends a signal to control the power battery to charge the storage battery.

[0039] In addition, to achieve the above-mentioned purpose, the present application also proposes a medium, which is a computer-readable medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the IVI-based low-voltage battery charging method as described above are implemented.

[0040] In addition, to achieve the above-mentioned purpose, the present application also provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, the steps of the IVI-based low-voltage battery charging method as described above are implemented.

[0041] This application obtains the battery voltage, vehicle sleep time and number of successful recharges. When the battery voltage is lower than the preset safety threshold or the vehicle sleep time exceeds the preset sleep time or the number of successful recharges is lower than the preset number, a wake-up message is sent to the vehicle network to wake up the vehicle, and a low-voltage recharge request signal is sent to the vehicle network, so that the vehicle sends a signal to control the power battery to charge the battery. The battery voltage, vehicle sleep time and number of recharges are monitored through the intelligent cockpit domain controller IVI. When it is lower than the threshold, the vehicle network is awakened and low-voltage recharge is requested, which improves the efficiency and safety of vehicle battery management and ensures the reliability of vehicle startup. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0043] Figure 1 This is a flow chart of the first embodiment of the low-voltage battery charging method based on IVI of the present application;

[0044] Figure 2 This is a flow chart of a second embodiment of the IVI-based low-voltage battery charging method of the present application;

[0045] Figure 3 This is a flow chart of a third embodiment of the IVI-based low-voltage battery charging method of the present application;

[0046] Figure 4 This is a schematic diagram of the module structure of the IVI-based low-voltage battery charging device according to an embodiment of the present application;

[0047] Figure 5 This is a schematic diagram of the device structure of the hardware operating environment involved in the IVI-based low-voltage battery charging method in the embodiment of the present application.

[0048] The purpose, features and advantages of this application will be further described in conjunction with the embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0049] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.

[0050] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0051] The main solution of the embodiment of the present application is: by obtaining the battery voltage, vehicle sleep time and number of successful recharges, when the battery voltage is lower than a preset safety threshold or the vehicle sleep time exceeds the preset sleep time or the number of successful recharges is lower than the preset number, a wake-up message is sent to the vehicle network to wake up the vehicle, and a low-voltage recharge request signal is sent to the vehicle network, so that the vehicle sends a signal to control the power battery to charge the battery.

[0052] Based on this, the embodiment of the present application provides a low-voltage battery charging method based on IVI, referring to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the IVI-based low-voltage battery charging method of the present application.

[0053] In this embodiment, the IVI-based low-voltage battery charging method includes steps S10 to S30:

[0054] Step S10, obtaining the battery voltage, vehicle sleep time and number of successful charging attempts.

[0055] It should be noted that the intelligent cockpit domain controller (IVI) directly obtains the battery voltage through its built-in MCU module pin, monitors it once every 10 milliseconds for 3 seconds, and performs filtering operations on the collected data to ensure the accuracy of the voltage reading. When the battery voltage value is detected to be continuously lower than the preset threshold (for example, 12.2V), the situation is recorded as a sign of low voltage status. At the same time, IVI is also responsible for monitoring the vehicle sleep time, that is, starting from the time the power is switched to the OFF position, using the MCU built-in timer to track the length of time the vehicle is parked and the vehicle network is dormant. Once it is found that the vehicle sleep time exceeds the set threshold (for example, 5 days), this will also trigger part of the conditions of the low-voltage charging mechanism. In addition, IVI also needs to manage the count of the number of successful and failed charging. Whenever a low-voltage charging request is issued, the success or failure counter is updated accordingly according to the status feedback from the all-in-one controller (such as PDCU_12VchargeSt=0x2 for success or PDCU_12VchargeSt=0x3 for failure).

[0056] Further, step S10 also includes: obtaining the initial voltage; performing nonlinear filtering on the initial voltage to obtain the battery voltage, wherein the nonlinear filtering is at least one of median filtering, Gaussian filtering or Kalman filtering. Specifically, when obtaining the voltage at the AB terminal of the battery, the IVI first monitors the voltage through the pin of the built-in MCU module at a frequency of once every 10 milliseconds for 3 seconds to ensure that the instantaneous voltage fluctuation can be captured. In order to improve the measurement accuracy and eliminate possible noise interference, the IVI will perform nonlinear filtering on the collected initial voltage data, and this process can be implemented by at least one method of median filtering, Gaussian filtering or Kalman filtering. For example, when facing impulse noise caused by sensor failure or other factors, median filtering can effectively remove these abnormal points while retaining the true characteristics of the signal. For random noise with Gaussian distribution characteristics, it is more suitable to use a Gaussian filter for smoothing, which reduces the impact of noise by weighted averaging of adjacent pixels and maintains the continuity of the image or signal. Kalman filtering excels when it comes to processing dynamically changing data sequences, such as the change in battery voltage over time while a vehicle is driving. It can adjust the prediction results based on the difference between the previous state estimate and the current observation, thereby providing a more accurate voltage reading.

[0057] Furthermore, after obtaining the battery voltage, it also includes: when the battery voltage is monitored to be lower than the preset safety threshold, the voltage drop rate is recorded and compared with the preset drop rate threshold to determine whether the voltage drop is abnormal. Specifically, once the battery voltage is monitored to be lower than the preset safety threshold (for example, 12.2V), the IVI not only records the low voltage event, but also further calculates the voltage drop rate and compares this rate with the preset drop rate threshold to determine whether the voltage drop is abnormal. This mechanism helps to distinguish normal power consumption from potential faults or abnormal conditions. For example, during the long-term parking of the vehicle, the battery voltage may gradually decrease due to the presence of dark current, which is an expected behavior; but if the voltage suddenly drops sharply, it may be caused by an internal short circuit, excessive external load or other problems, which requires immediate action. To achieve this, IVI uses a time difference method to calculate the voltage drop rate. Specifically, IVI records an initial voltage value and a corresponding timestamp when it detects that the voltage is lower than the safety threshold for the first time, and then reads the current voltage value again at a fixed time interval (such as every minute), and calculates the voltage change between the two measurements divided by the time interval to obtain the average drop rate. If this rate exceeds a preset threshold (e.g. 0.1V per minute), the voltage drop is considered abnormal, triggering an alarm or starting the low-voltage power replenishment process.

[0058] Step S20, when the battery voltage is lower than a preset safety threshold or the vehicle sleep time exceeds a preset sleep time or the number of successful recharging is lower than a preset number, a wake-up message is sent to the vehicle network to wake up the vehicle.

[0059] It should be noted that when IVI detects that the battery voltage is lower than the preset safety threshold (e.g. 12.2V), or the vehicle sleep time exceeds the set period (e.g. 5 days), or the number of successful recharges in a single power-off cycle is lower than the preset number (the default is 7 times), IVI will immediately take action to ensure the normal starting ability of the vehicle. IVI will send a wake-up message to the vehicle network to trigger each ECU on the CAN bus to wake up from sleep mode.

[0060] Further, step S20 also includes: performing self-diagnosis processing to obtain diagnostic results, wherein the self-diagnosis process includes software status check, hardware interface detection and communication protocol verification. Specifically, in the process of performing self-diagnosis processing to obtain diagnostic results, a comprehensive software status check, hardware interface detection and communication protocol verification are performed. First, for the software status check, it will be evaluated whether the currently running applications and services are in the expected working state, including but not limited to the availability of services, the health of processes and whether there are abnormal records in the log. This step ensures that there are no unresolved issues at the software level that affect the normal operation of the system. Then, in terms of hardware interface detection, all physical interfaces connected to external devices, such as USB, CAN bus, etc., are checked to confirm that they can correctly transmit data and are not physically damaged or poorly connected. This process may involve sending test signals and verifying the functional integrity of the interface by reading back. In this way, any hardware problems that may cause data loss or operation failure can be effectively identified. Finally, communication protocol verification is not limited to checking the message format and sequence within the local network, but also includes support for secure communication protocols such as HTTPS, such as verifying whether the server can respond correctly and establish a secure connection by simulating client requests13. In addition, the encryption algorithms used in the TLS handshake process are reviewed to see if they comply with the latest standards, and the validity and integrity of the certificate chain are ensured.

[0061] Furthermore, when the diagnosis result is normal, the battery voltage is lower than the preset safety threshold, or the vehicle sleep time exceeds the preset sleep time, or the number of successful recharges is lower than the preset number, a wake-up message is sent to the vehicle network, and the wake-up message includes waking up the DCDC / OBC, the all-in-one controller, the BMS, and the IBCM / CCM; after waking up the vehicle network, a low-voltage recharge request signal is sent. Specifically, when the IVI diagnostic result shows that the system status is normal and the battery voltage is detected to be lower than the preset safety threshold (for example, 12.2V), or the vehicle sleep time exceeds the set period (such as 72 hours), or the number of successful recharges in a single power-off cycle is lower than the preset number (such as 7 times), IVI will take a series of measures to ensure that the vehicle can resume normal operation. First, IVI will construct and send a wake-up message to the vehicle network. The message not only contains information to wake up the converter / on-board charger (DCDC / OBC), but also activates the all-in-one controller, the battery management system (BMS), and the body control module / charging control module (IBCM / CCM) at the same time to ensure that all key nodes of the entire power supply chain are awakened. This process is achieved through network management messages in a specific format. Each awakened component will enter the working mode according to the received instructions and prepare to accept further task assignments. Once the vehicle network is successfully awakened, the IVI will then send a low-voltage recharge request signal to the BMS, instructing the BMS to start the recharge process from the high-voltage battery to the low-voltage battery.

[0062] During this process, IVI continuously monitors the progress of charging and maintains communication with the BMS through the CAN bus to ensure that the charging operation proceeds as expected. If any abnormal situation is encountered during the charging period, such as voltage or current exceeding the safe range, IVI will immediately stop charging and report the event details to the cloud server so that technicians can intervene remotely to solve the problem. In addition, in order to improve efficiency and safety, IVI can also use built-in algorithms to optimize the charging strategy, such as adjusting the charging rate to adapt to the current grid load conditions, or predicting the best time to charge based on historical data.

[0063] Step S30, sending a low-voltage power replenishment request signal to the vehicle network, so that the vehicle sends a signal to control the power battery to charge the storage battery.

[0064] It should be noted that after receiving the low-voltage charging request, the BMS starts to monitor the status of the power battery and formulates the optimal charging strategy based on the current power and health status. At the same time, the DCDC converter starts working after receiving the command, converting the high-voltage DC power provided by the power battery into 12V or 24V low-voltage DC power suitable for low-voltage batteries. During the entire charging process, IVI continues to communicate with BMS, obtains real-time charging progress and battery status information, and ensures that the charging operation is carried out safely and efficiently. If any abnormal situation is encountered during the charging period, such as excessive temperature or unstable voltage, IVI will immediately issue a stop command to prevent potential risks.

[0065] Furthermore, in order to optimize the user experience, IVI can also combine cloud services for remote diagnosis and support, use AI algorithms to predict future parking time and power requirements, and prepare in advance. In addition, the system can record the specific parameters of each power replenishment, including start time, end time, power replenishment, etc., to form a detailed log for subsequent analysis. This method not only simplifies hardware requirements and reduces costs, but also enhances the reliability of vehicle startup after long-term parking, demonstrating the innovative application of smart cockpit domain controllers in the collaborative work of the power domain. In addition, IVI supports an adaptive learning mechanism, which can continuously improve its own control algorithm based on historical charging records to achieve more accurate and personalized power replenishment management. For vehicles that have not been used for a long time, IVI can regularly check the status of the low-voltage battery through the timed wake-up function, automatically perform necessary power replenishment tasks, and ensure that the vehicle always maintains good starting performance.

[0066] This embodiment provides a low-voltage battery charging method based on IVI. By obtaining the battery voltage, vehicle sleep time and number of successful charging, when the battery voltage is lower than the preset safety threshold or the vehicle sleep time exceeds the preset sleep time or the number of successful charging is lower than the preset number, a wake-up message is sent to the vehicle network to wake up the vehicle, and a low-voltage charging request signal is sent to the vehicle network, so that the vehicle sends a signal to control the power battery to charge the battery. The battery voltage, vehicle sleep time and number of charging are monitored by the intelligent cockpit domain controller IVI. When it is lower than the threshold, the vehicle network is awakened and low-voltage charging is requested, thereby improving the efficiency and safety of vehicle battery management and ensuring the reliability of vehicle startup.

[0067] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar contents as those in the above-mentioned embodiment 1 can refer to the above introduction, and will not be repeated later. Figure 2 The IVI-based low-voltage battery charging method step S30 also includes steps S301 to S305:

[0068] Step S301, sending a low-voltage power replenishment request signal to the vehicle network, so that when the vehicle network receives the low-voltage power replenishment request signal, it sends a charging signal to the battery for charging.

[0069] It should be noted that when IVI detects that the voltage of the low-voltage battery is lower than the preset safety threshold, it will trigger the sending of a low-voltage power replenishment request signal to the vehicle network. This signal is transmitted to key components such as the vehicle controller (VCU), BMS, and DCDC converter via the CAN bus. After the vehicle network receives the low-voltage power replenishment request signal, the VCU comprehensively judges the current vehicle status and the remaining power of the power battery to ensure that the power replenishment conditions are met. Subsequently, the VCU sends a charging enable signal to the DCDC converter and notifies the BMS to prepare for high-voltage to low-voltage power conversion. During this process, the DCDC converter starts working according to the instructions of the VCU, converts the high-voltage DC power provided by the power battery into 12V or 24V low-voltage DC power suitable for low-voltage batteries, and transmits it to the low-voltage battery through a low-voltage line for charging. At the same time, the VCU continuously monitors the entire power replenishment process, including but not limited to current, voltage levels and temperature changes, to ensure the safety and effectiveness of the power replenishment operation. Once an abnormal situation is detected, such as overcurrent or overheating, the VCU will immediately take measures to stop the power replenishment process.

[0070] Step S302, receiving a charging status feedback signal.

[0071] It should be noted that after IVI sends a low-voltage power replenishment request signal and starts the power replenishment process, it continues to receive charging status feedback signals from the DCDC converter, BMS and VCU. These feedback signals include but are not limited to key parameters such as current intensity, voltage level, temperature change, and charging progress. By parsing these real-time data, IVI can accurately grasp the status of the power replenishment process and adjust the power replenishment strategy accordingly to ensure safe and efficient power transmission. For example, if it is detected that the charging current exceeds the set safety range or the temperature rises abnormally, IVI will immediately send an instruction to VCU to reduce the charging power or suspend the power replenishment operation until the problem is resolved. At the same time, IVI can also evaluate the health of the low-voltage battery based on feedback information, identify potential fault points, and provide maintenance recommendations to users. In order to further optimize the user experience, IVI can combine cloud services for remote monitoring and support, use big data analysis to predict future power demand, and plan power replenishment plans in advance.

[0072] Step S303: when the charging status feedback signal indicates that charging is completed, stop sending the wake-up message and the low-voltage supplementary power request signal.

[0073] It should be noted that when the charging status feedback signal indicates that the low-voltage battery is fully charged, the IVI will immediately stop sending wake-up messages and low-voltage power replenishment request signals. This process ensures the stability and safety of the power system, avoids unnecessary power waste and potential damage to battery life. Specifically, once the BMS or DCDC converter reports the completion of charging to the IVI via the CAN bus, the IVI will verify the validity of the information and confirm that the low-voltage battery has indeed reached the preset full charge state. Subsequently, the IVI stops sending any further wake-up messages to the vehicle controller VCU, which means that other ECUs are no longer activated, thereby reducing static current consumption. At the same time, the IVI will also terminate the transmission of the low-voltage power replenishment request signal, notify the VCU to turn off the power replenishment path of the DCDC converter, and disconnect the connection between the power battery and the low-voltage battery. In addition, the IVI will check the status of all relevant components to ensure that they have entered sleep mode correctly to prevent accidental restart of the power replenishment process.

[0074] Furthermore, when the charging status feedback signal is not received within the preset time or the charging status feedback signal indicates charging failure, the number of charging failures is obtained. Specifically, when the IVI fails to receive the charging status feedback signal within the preset time, or the received feedback signal indicates charging failure, the charging failure event is recorded and the charging failure counter is increased. Specifically, once the above situation is detected, the IVI will first check whether the communication link is normal and eliminate the information transmission problem caused by the network failure. If it is confirmed that it is an actual fault in the charging process, the IVI will send an alarm to the vehicle controller VCU through the CAN bus, and activate the warning light on the instrument panel or the prompt information on the central control screen to remind the driver to pay attention. Furthermore, when the number of charging failures does not exceed the preset waiting time, the low-voltage charging request signal is resent. Specifically, when the IVI detects that the number of charging failures does not exceed the preset waiting time, it will resend the low-voltage charging request signal and try to start the charging process again. This process is designed to ensure that occasional communication errors or transient failures do not cause permanent charging interruptions, while avoiding unnecessary frequent alarms.

[0075] Furthermore, when the number of power replenishment failures exceeds the preset waiting time, the low-voltage power replenishment request signal is stopped from being sent until the vehicle power state is switched from the off state to the on state, the number of power replenishment failures is cleared, and when the low-voltage power replenishment conditions are met, the low-voltage power replenishment request signal is resent. Specifically, if the number of power replenishment failures exceeds the preset waiting time, IVI will stop sending the low-voltage power replenishment request signal and enter the protection mode to prevent additional system burden or potential damage caused by repeated attempts. During this period, IVI will continue to monitor the overall status of the vehicle, especially the status of the power system. Once the vehicle power state switches from off to on, it means that the driver has started the vehicle. At this time, IVI will automatically clear the number of power replenishment failures and check whether the low-voltage power replenishment conditions are currently met. If the conditions are met, the low-voltage power replenishment request signal is immediately resent to ensure that the low-voltage battery can obtain the necessary power replenishment as soon as possible.

[0076] This embodiment sends a low-voltage power replenishment request signal to the vehicle network, so that when the vehicle network receives the low-voltage power replenishment request signal, it sends a charging signal to the battery for charging; receives a charging status feedback signal, and when the charging status feedback signal indicates that charging is complete, stops sending a wake-up message and a low-voltage power replenishment request signal. Charging is triggered by sending a low-voltage power replenishment request signal to the vehicle network, and feedback is received to confirm that charging is complete, and then wake-up and power replenishment requests are stopped, ensuring efficient and safe power replenishment.

[0077] Based on the first embodiment of the present application, in the third embodiment of the present application, the same or similar contents as those in the first embodiment can be referred to the above description, and will not be described in detail later. Figure 3 The IVI-based low-voltage battery charging method step S30 also includes steps S401-S402:

[0078] Step S401, obtaining an estimated charging time parameter, wherein the estimated charging time parameter is calculated based on historical charging data and a current battery state.

[0079] Specifically, past charging records are collected, including key information such as the timestamps of the start and end of charging, the ambient temperature at that time, the battery's state of charge (SOC), state of health (SOH), and charging current. Based on this data, a prediction model is built using advanced algorithms such as support vector machines or neural network models, which can accurately estimate the time required to complete charging under current conditions.

[0080] Step S402: Optimizing the output strategy of the power battery according to the estimated charging time parameter.

[0081] It should be noted that the output strategy of the power battery can be optimized and adjusted according to the estimated charging time parameters calculated. For example, before the expected long-term charging stage, the power output limit of the vehicle is appropriately reduced to reduce energy consumption and ensure that there is enough power to maintain the next successful charging. In addition, the trip can be planned in advance, and the driver is advised to choose the right time and place for charging to avoid the inconvenience caused by insufficient power. For vehicles equipped with bidirectional charging and discharging functions, it is even possible to selectively accept external power input when the grid electricity price is low, and vice versa, use its own stored energy to feed back to the grid to achieve effective energy management. In order to further improve efficiency, IVI can also collaborate with other on-board systems, such as combining the real-time traffic information of the navigation system to dynamically adjust the charging plan; or automatically set the optimal charging plan based on the user's daily driving habits. Such intelligent management not only improves the user experience, but also promotes the interaction between electric vehicles and smart grids, and promotes the development of sustainable transportation.

[0082] Furthermore, before optimizing the output strategy of the power battery, the estimated charging time parameters are adjusted. The specific steps are: obtaining the charging state of the battery, then obtaining the actual charging time based on the charging state, and then obtaining the charging time deviation based on the actual charging time and the estimated charging time parameters. Finally, when the charging time deviation exceeds the preset value, triggering adaptive learning, and updating the estimated charging time parameters. Specifically, the key parameters such as battery voltage, current, temperature and state of charge are monitored in real time. Based on this information, the current charging stage is accurately judged, and the actual charging time is recorded. Subsequently, the actual charging time is compared with the pre-calculated estimated charging time parameters to determine the deviation between the two. This process is crucial to ensure charging efficiency and optimize battery life. When it is detected that the charging time deviation exceeds the preset value, it indicates that the existing estimation model is no longer applicable to the current usage conditions or the battery characteristics have changed. At this time, it becomes necessary to trigger the adaptive learning mechanism. The adaptive learning algorithm automatically collects new charging data, including but not limited to ambient temperature, charging rate and battery health status, and uses these new data to update the estimated charging time parameters. By continuously iterating and improving the prediction model, it makes it more suitable for actual working conditions, thereby improving the estimation accuracy. For example, in some cases, as the battery ages, its internal resistance increases, causing the charging speed to slow down, and the original estimation model may underestimate the time required. Adaptive learning can identify this trend and adjust future estimates accordingly to ensure that users get the most accurate time prediction. In addition, considering the impact of seasonal temperature changes on lithium battery performance, adaptive learning can also adjust the estimation parameters according to different seasons to further improve the user experience.

[0083] This embodiment obtains the estimated charging time parameter, which is calculated based on the historical charging data and the current battery status; according to the estimated charging time parameter, the output strategy of the power battery is optimized. By analyzing the historical charging data and the current battery status to calculate the estimated charging time, the power battery output strategy is optimized to improve the charging efficiency and user experience.

[0084] This application also provides a low-voltage battery charging device based on IVI, please refer to Figure 4 , the device comprises:

[0085] The acquisition module 10 is used to obtain the battery voltage, the vehicle sleep time and the number of successful charging times.

[0086] The sending module 20 is used to send a wake-up message to the vehicle network to wake up the vehicle when the battery voltage is lower than a preset safety threshold or the vehicle sleep time exceeds a preset sleep time or the number of successful recharging is lower than a preset number.

[0087] The execution module 30 is used to send a low-voltage power replenishment request signal to the vehicle network, so that the vehicle sends a signal to control the power battery to charge the storage battery.

[0088] The low-voltage battery charging device based on IVI provided in the present application adopts the low-voltage battery charging method based on IVI in the above-mentioned embodiment, which can solve the technical problem of how to improve the efficiency and safety of vehicle battery management. Compared with the prior art, the beneficial effects of the low-voltage battery charging device based on IVI provided in the present application are the same as the beneficial effects of the low-voltage battery charging method based on IVI provided in the above-mentioned embodiment, and the other technical features of the low-voltage battery charging device based on IVI are the same as the features disclosed in the above-mentioned embodiment method, which will not be repeated here.

[0089] In one embodiment, the execution module 30 is also used to send a low-voltage power replenishment request signal to the vehicle network, so that when the vehicle network receives the low-voltage power replenishment request signal, it sends a charging signal to the battery for charging; receives a charging status feedback signal; when the charging status feedback signal indicates that charging is completed, stops sending a wake-up message and a low-voltage power replenishment request signal.

[0090] In one embodiment, the execution module 30 is further used to obtain the number of charging failures when the charging status feedback signal is not received within a preset time or the charging status feedback signal indicates charging failure; when the number of charging failures does not exceed the preset waiting time, resend the low-voltage charging request signal; when the number of charging failures exceeds the preset waiting time, stop sending the low-voltage charging request signal until the vehicle power state is switched from the off state to the on state, clear the number of charging failures, and resend the low-voltage charging request signal when the low-voltage charging condition is met.

[0091] In one embodiment, the execution module 30 is further used to obtain an estimated charging time parameter, which is calculated based on historical charging data and the current battery state; and optimize the output strategy of the power battery according to the estimated charging time parameter.

[0092] In one embodiment, the execution module 30 is also used to obtain the charging status of the battery; based on the charging status, the actual charging time is obtained; according to the actual charging time and the estimated charging time parameter, the charging time deviation is obtained; when the charging time deviation exceeds a preset value, adaptive learning is triggered to update the estimated charging time parameter.

[0093] In one embodiment, the sending module 20 is also used to perform self-diagnosis processing to obtain a diagnosis result, and the self-diagnosis process includes software status check, hardware interface detection and communication protocol verification; when the diagnosis result is normal, the battery voltage is lower than the preset safety threshold or the vehicle sleep time exceeds the preset sleep time or the number of successful recharges is lower than the preset number, a wake-up message is sent to the vehicle network, and the wake-up message includes waking up DCDC / OBC, all-in-one controller, BMS and IBCM / CCM; when the vehicle network is woken up, a low-voltage recharge request signal is sent.

[0094] In one embodiment, the acquisition module 10 is also used to obtain an initial voltage; perform nonlinear filtering on the initial voltage to obtain a battery voltage, wherein the nonlinear filtering is at least one of a median filter, a Gaussian filter, or a Kalman filter; after obtaining the battery voltage, it also includes: when it is monitored that the battery voltage is lower than a preset safety threshold, recording the voltage drop rate, and comparing it with a preset drop rate threshold to determine whether the voltage drop is abnormal.

[0095] The present application provides an IVI-based low-voltage battery charging device, and the IVI-based low-voltage battery charging device includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the IVI-based low-voltage battery charging method in the above-mentioned embodiment 1.

[0096] Reference below Figure 5, which shows a schematic diagram of the structure of an IVI-based low-voltage battery charging device suitable for implementing the embodiment of the present application. The IVI-based low-voltage battery charging device in the embodiment of the present application may include but is not limited to mobile terminals such as mobile phones, laptops, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 5 The IVI-based low-voltage battery charging device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0097] like Figure 5 As shown, the IVI-based low-voltage battery charging device may include a processing device 1001 (such as a central processing unit, a graphics processor, etc.), which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM: Read Only Memory) 1002 or the program loaded from the storage device 1003 to the random access memory (RAM: Random Access Memory) 1004. In RAM1004, various programs and data required for the operation of the IVI-based low-voltage battery charging device are also stored. The processing device 1001, ROM1002 and RAM1004 are connected to each other through a bus 1005. The input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to the I / O interface 1006: input devices 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 1003 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 1009. The communication device 1009 can allow the IVI-based low-voltage battery charging device to communicate wirelessly or wired with other devices to exchange data. Although the figure shows an IVI-based low-voltage battery charging device with various systems, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems may be implemented or have alternatively.

[0098] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0099] The IVI-based low-voltage battery charging device provided in this application adopts the IVI-based low-voltage battery charging method in the above embodiment, which can solve the technical problem of how to improve the efficiency and safety of vehicle battery management. Compared with the prior art, the beneficial effects of the IVI-based low-voltage battery charging device provided in this application are the same as the beneficial effects of the IVI-based low-voltage battery charging method provided in the above embodiment, and the other technical features of the IVI-based low-voltage battery charging device are the same as the features disclosed in the previous embodiment method, which will not be repeated here.

[0100] It should be understood that the various parts disclosed in this application can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0101] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0102] The present application provides a computer-readable medium having computer-readable program instructions (ie, computer programs) stored thereon, and the computer-readable program instructions are used to execute the IVI-based low-voltage battery charging method in the above-mentioned embodiment.

[0103] The computer-readable medium provided in the present application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, or any combination of the above. More specific examples of computer-readable media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this embodiment, the computer-readable medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, system or device. The program code contained on the computer-readable medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination of the above.

[0104] The computer-readable medium may be included in the IVI-based low-voltage battery charging device; or may exist independently without being assembled into the IVI-based low-voltage battery charging device.

[0105] The computer-readable medium may carry one or more programs. When the one or more programs are executed by the IVI-based low-voltage battery charging device, the IVI-based low-voltage battery charging device may be written in one or more programming languages ​​or a combination thereof to write computer program codes for performing the operations of the present application. The programming languages ​​include object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as "C" language or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as an independent software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., using an Internet service provider to connect via the Internet).

[0106] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0107] The modules involved in the embodiments described in this application may be implemented by software or hardware, wherein the name of the module does not constitute a limitation on the unit itself in some cases.

[0108] The readable medium provided in this application is a computer-readable medium, which stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned IVI-based low-voltage battery charging method, and can solve the technical problem of how to improve the efficiency and safety of vehicle battery management. Compared with the prior art, the beneficial effects of the computer-readable medium provided in this application are the same as the beneficial effects of the IVI-based low-voltage battery charging method provided in the above-mentioned embodiment, and will not be repeated here.

[0109] The present application also provides a computer program product, including a computer program, which, when executed by a processor, implements the steps of the above-mentioned IVI-based low-voltage battery charging method.

[0110] The computer program product provided in this application can solve the technical problem of how to improve the efficiency and safety of vehicle battery management. Compared with the prior art, the beneficial effects of the computer program product provided in this application are the same as the beneficial effects of the IVI-based low-voltage battery charging method provided in the above embodiment, which will not be repeated here.

[0111] The above descriptions are only some embodiments of the present application, and are not intended to limit the patent scope of the present application. All equivalent structural changes made using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect applications in other related technical fields are included in the patent protection scope of the present application.

Claims

1. A low-voltage battery charging method based on IVI, characterized in that: The method comprises: Obtain battery voltage, vehicle sleep time and number of successful recharging times; When the battery voltage is lower than a preset safety threshold or the vehicle sleep time exceeds a preset sleep time or the number of successful power replenishment times is lower than a preset number, a wake-up message is sent to the vehicle network to wake up the vehicle; Send a low-voltage power replenishment request signal to the vehicle network, so that the vehicle sends a signal to control the power battery to charge the storage battery.

2. The method according to claim 1, characterized in that The step of sending a low-voltage power replenishment request signal to the vehicle network so that the vehicle sends a signal to control the power battery to charge the storage battery includes: Sending a low-voltage power replenishment request signal to the vehicle network, so that when the vehicle network receives the low-voltage power replenishment request signal, it sends a charging signal to the battery for charging; receiving a charging status feedback signal; When the charging status feedback signal indicates that charging is completed, the sending of the wake-up message and the low-voltage supplementary power request signal is stopped.

3. The method according to claim 2, characterized in that The step of sending a low-voltage power supplement request signal to the vehicle network so that the vehicle sends a signal to control the power battery to charge the storage battery also includes: When the charging status feedback signal is not received within a preset time or the charging status feedback signal indicates charging failure, obtaining the number of charging failures; When the number of power replenishment failures does not exceed the preset waiting time, resending the low-voltage power replenishment request signal; When the number of power replenishment failures exceeds the preset waiting time, stop sending the low-voltage power replenishment request signal until the vehicle power state is switched from the off state to the on state, reset the number of power replenishment failures, and resend the low-voltage power replenishment request signal when the low-voltage power replenishment conditions are met.

4. The method according to claim 1, characterized in that The step of sending a low-voltage power supplement request signal to the vehicle network so that the vehicle sends a signal to control the power battery to charge the storage battery also includes: Obtaining an estimated charging time parameter, wherein the estimated charging time parameter is calculated based on historical charging data and a current battery state; The output strategy of the power battery is optimized according to the estimated charging time parameter.

5. The method according to claim 4, characterized in that Before the step of optimizing the output strategy of the power battery according to the estimated charging time parameter, the method includes: Get the battery charging status; Based on the charging state, obtaining an actual charging time; Obtaining a charging time deviation according to the actual charging time and the estimated charging time parameter; When the charging time deviation exceeds a preset value, adaptive learning is triggered to update the estimated charging time parameter.

6. The method according to claim 1, characterized in that The step of sending a wake-up message to the vehicle network to wake up the vehicle when the battery voltage is lower than a preset safety threshold or the vehicle sleep time exceeds a preset sleep time or the number of successful power replenishment times is lower than a preset number includes: Performing self-diagnosis processing to obtain a diagnosis result, wherein the self-diagnosis process includes software status checking, hardware interface detection and communication protocol verification; When the diagnosis result is normal, the battery voltage is lower than the preset safety threshold, the vehicle sleep time exceeds the preset sleep time, or the number of successful recharging is lower than the preset number, a wake-up message is sent to the vehicle network, and the wake-up message includes waking up the vehicle computer, all-in-one controller, BMS and IBCM / CCM; When the vehicle network is awakened, a low-voltage power replenishment request signal is sent.

7. The method according to claim 1, characterized in that The step of obtaining the battery voltage comprises: Get the initial voltage; Performing nonlinear filtering on the initial voltage to obtain a battery voltage, wherein the nonlinear filtering is at least one of a median filter, a Gaussian filter, or a Kalman filter; After obtaining the battery voltage, it also includes: When the battery voltage is detected to be lower than the preset safety threshold, the voltage drop rate is recorded and compared with the preset drop rate threshold to determine whether the voltage drop is abnormal.

8. A low-voltage battery charging device based on IVI, characterized in that: The device comprises: An acquisition module is used to obtain the battery voltage, vehicle sleep time and number of successful recharging times; A sending module, used for sending a wake-up message to the vehicle network to wake up the vehicle when the battery voltage is lower than a preset safety threshold or the vehicle sleep time exceeds a preset sleep time or the number of successful power replenishment times is lower than a preset number; The execution module is used to send a low-voltage power replenishment request signal to the vehicle network, so that the vehicle sends a signal to control the power battery to charge the storage battery.

9. A low-voltage battery charging device based on IVI, characterized in that: The device includes: a memory, a processor, and an IVI-based battery low-voltage power replenishment program stored in the memory and executable on the processor, wherein the IVI-based battery low-voltage power replenishment program is configured to implement the steps of the IVI-based battery low-voltage power replenishment method as described in any one of claims 1 to 7.

10. A medium, characterized in that The medium stores an IVI-based low-voltage battery charging program, and when the IVI-based low-voltage battery charging program is executed by the processor, the steps of the IVI-based low-voltage battery charging method according to any one of claims 1 to 7 are implemented.

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