A remote charging management method, system and terminal for an on-board battery

Abstract

The application discloses a kind of remote charging management method, system and terminal of vehicle-mounted battery, the method includes: the associated relationship between battery charging data and battery charging completion degree is stored;With first sampling frequency, charging data is collected and charging completion time is estimated;Confirmation information is sent to mobile terminal at the time before charging completion time;Based on the feedback information of mobile terminal, determine the generator shutdown mode: in automatic mode, battery charging data is collected in real time with second sampling frequency and control signal is output from it to control the operating state of generator;Manual mode is then in real time with third sampling frequency, charging data is collected and the operating state of generator is controlled according to the feedback information of mobile terminal, and the second sampling frequency is less than the first sampling frequency and the third sampling frequency.By the above scheme, the probability of generator error shutdown caused by data disturbance during charging can be reduced, to ensure stable charging without the need for users to go to the scene for related control operation.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of vehicle-mounted battery charging and discharging management, more specifically, it relates to a remote charging management method, system and terminal for a vehicle-mounted battery. BACKGROUND

[0002] An off-grid power generation system refers to a power supply system that can be independent of an external power grid and independently realize power generation, energy storage and output. At present, with the rise of outdoor live broadcast, camping charging and other projects, vehicle-mounted off-grid systems are attracting more and more attention. A vehicle-mounted off-grid system mainly consists of a power generation module, an off-grid inverter, an energy storage module and a load. The power generation module usually uses a generator, a photovoltaic assembly, etc., and the energy storage module usually uses a vehicle-mounted energy storage battery. When the system is working, the electrical energy generated by the generator or the photovoltaic assembly is inverted and output to the energy storage battery for storage, and then supplied to various loads through different voltage output interfaces.

[0003] When a generator is currently used to charge a vehicle-mounted energy storage battery, the user often needs to monitor the progress of battery charging by himself / herself. When the energy storage battery is fully charged, the generator needs to be manually turned off or the connection between the generator and the vehicle-mounted energy storage battery needs to be manually disconnected to avoid overcharging. The operation is inconvenient. If a simple automatic feedback control method is used, i.e., the battery automatically outputs a feedback signal to control the generator to shut down when it is fully charged, the generator may unexpectedly shut down due to battery power monitoring deviation or feedback signal error.

[0004] Therefore, how to ensure that the generator can stably charge the vehicle-mounted energy storage battery without the user going to the site to perform related control operations is a problem that needs to be solved for current vehicle-mounted off-grid energy storage battery charging and is also a key to improving user experience. SUMMARY

[0005] In view of the problem that a generator cannot be remotely controlled and stably charged when charging a vehicle-mounted energy storage battery in actual application, the first object of the present application is to provide a remote charging management method for a vehicle-mounted battery, which estimates the battery charging time by analyzing the battery charging and discharging curve and notifies the user in advance at a set time and determines the generator shutdown mode based on user feedback, thereby realizing stable charging of the energy storage battery without the user going to the site to control the generator to shut down. To achieve the above charging management method, the second object of the present application is to provide a remote charging management system for a vehicle-mounted battery, which can realize the above remote charging management of the vehicle-mounted battery and is also easy to expand. The third object of the present application is to provide a remote charging management terminal for a vehicle-mounted battery, which can be flexibly applied to the current vehicle-mounted off-grid system to realize remote and accurate control of the charging of the vehicle-mounted battery. The specific scheme is as follows:

[0006] A remote charging management method for a vehicle-mounted battery, comprising:

[0007] establishing and storing a correlation between the battery charging data and the battery charging completion degree;

[0008] collecting and storing the charging data at a first sampling frequency, and estimating the charging completion time based on the current charging data;

[0009] sending confirmation information to the mobile terminal at a time point before the charging completion time;

[0010] determining the generator shutdown mode based on the feedback information of the mobile terminal;

[0011] the automatic mode, collecting the battery charging data in real time at a second sampling frequency, and outputting a control signal to shut down the generator or cut off the connection between the generator and the energy storage battery when detecting the charging data representing the completion of the battery charging;

[0012] the manual mode, collecting the battery charging data in real time at a third sampling frequency, outputting an instruction request information to the mobile terminal when detecting the charging data representing the completion of the battery charging, and controlling the shutdown of the generator or the cutting off of the connection between the generator and the energy storage battery based on the instruction information fed back by the mobile terminal;

[0013] wherein the second sampling frequency, the first sampling frequency and the third sampling frequency increase in turn;

[0014] The charging data includes charging current data and battery voltage data.

[0015] According to the above technical solution, the system collects charging data at a first sampling frequency with a lower sampling frequency in the early charging stage and estimates the charging completion time. Then, confirmation information is sent to the user's mobile terminal at a set time point before the charging completion to confirm and inform the user of the charging progress, and the user feedback is obtained to determine the subsequent generator shutdown mode. When the automatic mode is adopted, the second sampling frequency, i.e. the sampling frequency of the charging data, is lower to reduce the probability of generator shutdown due to charging data disturbance during charging, and to ensure that the energy storage battery can still be normally and stably charged in the later charging stage. When the manual mode is adopted, the association between real-time charging data and generator operating state is directly cut off, and a higher sampling frequency is directly used to collect charging data. When the charging data representing the completion of the battery charging is detected, the instruction information is sent through the user's mobile terminal to control the shutdown of the generator, thereby avoiding overcharging of the battery while ensuring the charging stability of the battery in the later charging stage.

[0016] Further, a correlation between the battery charging data and the battery charging completion degree is established and stored, including:

[0017] obtaining the historical charging data of the battery and the corresponding charging duration data, and storing them to form a theoretical charging and discharging curve;

[0018] Acquire battery charge and discharge attenuation data and its corresponding usage time data and charging environment parameters, and store the three together to form a theoretical attenuation curve.

[0019] Based on the current battery usage time and charging environment parameters, and combined with the theoretical attenuation curve and theoretical charge / discharge curve, a theoretical charging reference curve is generated and stored in association with the battery ID.

[0020] The process of acquiring and estimating the charging completion time based on current charging data includes:

[0021] Based on the currently acquired charging data and the previously stored charging data, a real-time charging curve is generated by fitting.

[0022] Obtain the current battery ID information and retrieve the corresponding theoretical charging reference curve to compare with the current real-time charging curve, generate the charging time required, and calculate the charging completion time.

[0023] The charging environment parameters include the temperature of the battery body and the surrounding environment during charging.

[0024] The above technical solution fully considers the environmental factors of the battery during charging and the battery's own degradation factors when calculating the remaining charging time, making the prediction of battery charging time more accurate. As a result, confirmation information can be sent to the mobile terminal at a more appropriate and accurate time, which helps to improve the stability of subsequent battery charging.

[0025] Furthermore, the remote charging management method also includes:

[0026] Obtain and store the theoretical charging reference curves of the battery under different charging modes and charging environment parameters;

[0027] Obtain the current battery charging mode, charging environment parameters, and real-time charging curve;

[0028] The real-time charging curve is compared with the theoretical charging reference curve corresponding to the current charging mode and charging / discharging environment conditions:

[0029] If the difference between the two exceeds the first set range, an alarm message is output to the mobile terminal, and feedback information from the mobile terminal is obtained to adjust the generator start / stop status or battery charging mode.

[0030] If the difference between the two exceeds the second set range, the generator will be controlled to stop charging and an alarm message will be sent to the mobile terminal.

[0031] The charging modes include high-power DC charging mode, low-power AC charging mode, or a combination of both for time-sharing charging.

[0032] With the above technical solution, when the system detects a difference between the battery charging curve and the theoretical charging reference curve, it can promptly notify the user to adjust the battery charging mode or shut down the generator. When the system detects a serious deviation between the battery charging curve and the theoretical charging reference curve, it will automatically disconnect the generator and the energy storage battery to avoid serious consequences caused by abnormal charging. At the same time, it will notify the user of the real-time status of the generator or battery, thereby improving the safety of the battery charging process.

[0033] Furthermore, the remote charging management method also includes:

[0034] Establish and store the relationship between battery quantity and charging gating mode;

[0035] Detect and confirm the number of batteries currently connected to the generator and the charging status of each battery;

[0036] The charging strobe mode is determined based on the command information from the mobile terminal or selected according to the default settings.

[0037] The charging strobe mode includes:

[0038] The batteries are sorted and charged sequentially according to the time it takes for each battery to establish a charging connection with the generator.

[0039] The batteries are charged sequentially according to their current remaining charge levels; or

[0040] The batteries are charged sequentially according to their required charging time; or

[0041] Set charging priorities for each battery, and charge each battery sequentially according to its charging priority order connected to the generator.

[0042] With the above technical solution, when multiple energy storage batteries are connected to the generator for charging at the same time, the charging sequence of each battery can be managed according to user selection or default settings.

[0043] Furthermore, sending a confirmation message to the mobile terminal at a predetermined time before the charging completion time includes:

[0044] Based on the generated theoretical charging reference curve, charging data characterizing the completion of battery charging is obtained and stored as a threshold K for triggering charging stop. value ,

[0045] Based on the fitted real-time charging curve, the fluctuation range of battery charging data is calculated, and the maximum fluctuation value K of the charging data is stored. max ,

[0046] Based on the current real-time charging curve, the charging data is calculated to reach K. Target The set time is obtained by calculating the time interval;

[0047] Among them, K Target =K value -K max ;

[0048] The parameters used to calculate the fluctuation range of battery charging data are the charging current value, the battery voltage value, or a weighted combination of the two.

[0049] Since the charging current and battery voltage fluctuate during battery charging, the above technical solution can effectively avoid misjudgments caused by fluctuations in charging current or battery voltage during charging, ensuring that the generator will not stop supplying power due to the above disturbances, and that the battery will not be overcharged, thus ensuring the smooth charging of the battery.

[0050] Furthermore, the remote charging management method also includes:

[0051] Establish a correlation between the request for confirmation from the mobile terminal and specific points or trends on the battery charging curve;

[0052] Based on the current real-time charging curve, the request for mobile terminal confirmation action associated with the subsequent charging process is estimated and generated, and a request action instruction set is generated and temporarily stored.

[0053] Real-time acquisition and monitoring of network communication status between mobile terminals and charging site terminals;

[0054] When the network communication strength value is lower than the set value, send the current request action instruction set to the mobile terminal;

[0055] Based on the feedback information from the mobile terminal regarding the aforementioned request action instruction set, confirm the various control instructions for the subsequent charging process.

[0056] The above technical solution allows for the prior integration and storage of information that needs to be confirmed by the mobile terminal during the subsequent charging process, based on the charging status reflected in the real-time charging curve. When the network communication is poor, this information is sent to the mobile terminal in advance. Later, the generator's status is adjusted based on the instructions fed back by the mobile terminal, thus avoiding situations where the battery is overcharged or the generator is shut down prematurely due to communication interruptions between the charging site and the mobile terminal.

[0057] Furthermore, determining the generator shutdown mode based on feedback information from the mobile terminal includes:

[0058] Store and sort the communication address information of at least two mobile terminals;

[0059] The timer starts when the confirmation message is sent. If no feedback message is received from the current mobile terminal within the set time, a new confirmation message is sent to the next mobile terminal according to the order of the mobile terminals and the timer restarts.

[0060] If the time elapsed from the first confirmation message sent to the current moment exceeds the set value, the default generator shutdown mode is automatic.

[0061] With the above technical solution, when the charging site cannot contact the initially set mobile terminal, the confirmation information can be sent to the backup mobile terminal.

[0062] To implement the aforementioned remote charging management method for vehicle batteries, this application also proposes a remote charging management system for vehicle batteries, comprising:

[0063] A communication unit is configured to enable a communication connection between a mobile terminal and a charging site terminal.

[0064] The mobile terminal is configured to output and display the real-time charging status and pending confirmation information of the energy storage battery, and output confirmation information based on user operation.

[0065] Charging site terminal: includes:

[0066] The data acquisition unit is configured to acquire and output battery charging data, as well as charging environment parameters at the charging site, based on a selected sampling frequency.

[0067] The data storage unit is configured to associate and store the correspondence between the battery ID and its charging data and the battery charging completion status, as well as the charging data.

[0068] The charging time estimation unit is configured to receive current battery charging data and estimate the battery charging completion time by combining the correspondence between battery charging data and battery charging completion.

[0069] The mode confirmation unit is configured to communicate with the mobile terminal and the generator. It sends a confirmation message to the mobile terminal at a set time before the charging completion time, and then receives and determines the generator shutdown mode based on the feedback information from the mobile terminal.

[0070] The charging execution unit is configured to be connected to the generator control terminal, receive the output signal of the mode confirmation unit, and determine the generator shutdown mode.

[0071] In automatic mode, battery charging data is collected in real time at the second sampling frequency. When charging data indicating that the battery is fully charged is detected, a control signal is output to shut down the generator or disconnect the generator from the energy storage battery.

[0072] In manual mode, battery charging data is collected in real time at a third sampling frequency. When charging data indicating that the battery is fully charged is detected, an instruction request message is output to the mobile terminal, and the generator is turned off or the connection between the generator and the energy storage battery is disconnected based on the instruction message fed back by the mobile terminal.

[0073] Among them, the second sampling frequency, the first sampling frequency, and the third sampling frequency increase sequentially;

[0074] The charging data includes charging current data and battery voltage data.

[0075] Furthermore, the data storage unit also stores theoretical charging reference curves corresponding to the charging of the battery under different charging modes and different charging environment parameters.

[0076] The charging field terminal also includes a charging alarm unit, configured to acquire the current battery charging mode, charging environment parameters, and real-time charging curve, and compare the real-time charging curve with the theoretical charging reference curve corresponding to the current charging mode and charging / discharging environment conditions:

[0077] If the difference between the two exceeds the first set range, an alarm message is output to the mobile terminal, and feedback information from the mobile terminal is obtained to adjust the generator start / stop status or battery charging mode.

[0078] If the difference between the two exceeds the second set range, the generator will be controlled to stop charging and an alarm message will be sent to the mobile terminal.

[0079] The real-time charging curve is generated by fitting the currently acquired charging data and the previously stored charging data.

[0080] Finally, this application also proposes a remote charging management terminal for an on-board battery, comprising: a display, a memory, a processor, and a program module stored in the aforementioned memory and executable on the processor, wherein the program module, when executed, is used to implement the steps of the remote charging management method for an on-board battery as described above.

[0081] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0082] During the later stages of battery charging, the system can collect charging data at a lower sampling frequency based on user selection. This reduces the probability of data disturbances causing the generator to shut down erroneously, ensuring that the generator can stably charge the on-board energy storage battery without requiring the user to go to the site for related control operations. In addition, by analyzing the charging data of each energy storage battery, the system can accurately predict the battery charging completion time and send confirmation information to the user's mobile terminal at the appropriate time, ensuring that the battery can stop charging in a timely manner after it is fully charged. Attached Figure Description

[0083] Figure 1 This is an overall schematic diagram of the remote charging management method for vehicle batteries according to the present invention;

[0084] Figure 2 A schematic diagram of the battery charging curve;

[0085] Figure 3 A diagram illustrating the method for obtaining the time it takes to send confirmation information to the mobile terminal;

[0086] Figure 4 This is a schematic diagram of the functional module framework of the remote charging management system of this application.

[0087] Reference numerals: 100, mobile terminal; 200, communication unit; 300, charging field terminal; 310, data storage unit; 320, data acquisition unit; 330, charging time estimation unit; 340, mode confirmation unit; 350, charging execution unit; 360, charging alarm unit; 400, cloud server. Detailed Implementation

[0088] The present application will be further described in detail below with reference to the embodiments and accompanying drawings, but the implementation of the present application is not limited thereto.

[0089] A remote charging management method for vehicle batteries, such as Figure 1 As shown, the main steps include the following:

[0090] S100, establish and store the correlation between battery charging data and battery charging completion;

[0091] S200 collects and stores charging data at a first sampling frequency, and obtains and estimates the charging completion time based on the current charging data;

[0092] S300 sends a confirmation message to the mobile terminal at a set time before the charging completion time;

[0093] S400 determines the generator shutdown mode based on feedback information from the mobile terminal:

[0094] In automatic mode, battery charging data is collected in real time at the second sampling frequency. When charging data indicating that the battery is fully charged is detected, a control signal is output to shut down the generator or disconnect the generator from the energy storage battery.

[0095] In manual mode, battery charging data is collected in real time at a third sampling frequency. When charging data indicating that the battery is fully charged is detected, an instruction request message is output to the mobile terminal, and the generator is shut down or the connection between the generator and the energy storage battery is disconnected based on the instruction message fed back by the mobile terminal.

[0096] The second sampling frequency, the first sampling frequency, and the third sampling frequency increase sequentially.

[0097] In step S100 above, the battery charging data mainly includes charging current data and battery voltage data. Combined with... Figure 2 As shown, during the charging process of an ion battery, both the battery voltage and charging current change with the charging time. For example, the charging curve of a lithium battery typically includes three stages: constant current charging, constant voltage charging, and delayed charging. Generally speaking, knowing the battery charging current and battery voltage data is sufficient to determine the battery's charging state and degree of completion. Step S100 involves storing these two sets of data together for subsequent evaluation of the energy storage battery's charging completion.

[0098] In practice, it has been found that for the same energy storage battery, charging data will vary depending on the charging and discharging environment. At the same time, the charging data of the same energy storage battery will also change after being used for different periods of time, such as longer charging time and reduced charging efficiency.

[0099] To reduce the impact of battery aging or changes in the charging / discharging environment on the current battery charging / discharging duration assessment, as detailed in step S100 of this embodiment, establishing and storing the correlation between battery charging data and battery charging completion further includes:

[0100] S110: Obtain historical battery charging data and its corresponding charging duration data, and associate and store the two to form a theoretical charge and discharge curve.

[0101] S120: Acquires battery charge and discharge attenuation data and its corresponding usage time data and charging environment parameters, and stores the three together to form a theoretical attenuation curve.

[0102] S130: Obtain and, based on the current battery usage time and charging environment parameters, combine the theoretical attenuation curve and the theoretical charge-discharge curve to generate a theoretical charging reference curve and store it in association with the battery ID.

[0103] In the aforementioned sub-step S120, the battery charge / discharge degradation data and its corresponding usage time data are typically provided by the battery manufacturer or obtained through analysis of historical data from the same battery model. For the same type of battery used under different environmental conditions, the relationship between the aforementioned battery charge / discharge degradation data and usage time remains constant. Step S120 primarily stores the theoretical degradation curves of the battery under different environmental conditions and usage times. In practice, this manifests as the charge / discharge curve extending along the time axis, meaning the charging speed slows down.

[0104] In step S130, the current battery usage time can be obtained through the system timing device. When the energy storage battery in the off-grid system is in working condition, the system records and stores the usage time.

[0105] Charging environment parameters can be collected by temperature sensors installed at the charging site or on the battery itself, which collect temperature data of the battery and its surrounding environment. In certain embodiments, humidity sensors and vibration monitoring sensors can also be installed to collect data such as humidity and battery vibration.

[0106] After step S130, a theoretical charging reference curve for the current energy storage battery is finally obtained, and the theoretical charging reference curve is then associated with and stored with the battery ID.

[0107] In step S200 above, obtaining and estimating the charging completion time based on the current charging data specifically includes:

[0108] S210, based on the currently acquired charging data and the previously stored charging data, fits and generates a real-time charging curve;

[0109] S220: Obtain the current battery ID information, retrieve the corresponding theoretical charging reference curve and compare it with the current real-time charging curve, generate the remaining time required for charging to be completed, and calculate the charging completion time in combination with the current time.

[0110] In practical applications, simply matching the real-time charging curve with the theoretical charging reference curve yields the current charging stage of the battery. As can be seen from the above process, this application's solution fully considers the environmental factors of the battery during charging and the battery's own degradation factors when calculating the remaining charging time, making the estimation of battery charging time more accurate. This allows confirmation information to be sent to the mobile terminal at a more appropriate and precise time, helping to improve the stability of subsequent battery charging.

[0111] In this application, the mobile terminal includes, but is not limited to, smartphones, tablets, and personal computers that have network communication functions and are loaded with a set APP.

[0112] In step S300, a confirmation message is sent to the mobile terminal at a set time before the charging completion time, such as... Figure 3 As shown, it specifically includes:

[0113] S310: Obtain charging data to characterize the completion of battery charging based on the generated theoretical charging reference curve, and store it as a threshold K for triggering charging stop. valueFor example, when the charging current drops to 5% of the initial charging current, such as 40mA, and the battery voltage reaches a set value, such as 4.5V, it indicates that the battery has completed charging. In this case, the charging current of 40mA and the battery voltage of 4.5V are used as the threshold K for triggering the stopping of charging. value Typically, to prevent battery overcharging, the detection of the above two parameters is accomplished through a battery voltage detection circuit.

[0114] S320, based on the fitted real-time charging curve, calculates the fluctuation range of battery charging data and stores the maximum fluctuation value K of the charging data. max The above is used to calculate the maximum fluctuation value K within the fluctuation range of battery charging data. max This refers to the charging current value, battery voltage value, or a weighted combination of both. For example, a real-time charging curve is a curve formed by fitting multiple charging data samples. During actual charging, the sampled values ​​at certain points may deviate significantly due to circuit disturbances or other factors. For instance, the normal battery voltage is 4.3V, and the maximum fluctuation value of the rechargeable battery voltage is K. max The voltage is 0.2V. If the threshold K for stopping charging is triggered at this point... value The voltage is 4.5V. Clearly, the maximum fluctuation value K mentioned above is... max This could cause the system to misjudge the charging completion rate, or even shut down the generator prematurely.

[0115] Therefore, it is necessary to pre-set a time to determine the subsequent shutdown mode of the generator. In this application, the above-mentioned time setting is obtained as follows:

[0116] S330, based on the current real-time charging curve, calculates charging data to reach K. Target The set time T is obtained by taking the time of K, where K Target =K value -K max As can be seen from the above process, charging data can be analyzed to reach K levels through real-time charging curves. Target The estimated time is combined with the current time to calculate the set time T. In practical applications, considering the response delay of mobile terminals, a time interval is usually set forward after obtaining the set time T to obtain the final set time.

[0117] As can be seen from the above process, the above technical solution can effectively avoid misjudgment caused by fluctuations in charging current or battery voltage during charging, ensuring that the generator will not stop supplying power due to the above disturbances, and that the battery will not be overcharged, thus ensuring the smooth charging of the battery.

[0118] Clearly, during the entire charging process, when the energy storage battery is in a pre-charging state or a constant current charging state, disturbances in the charging current or battery voltage are unlikely to reach the charging stop threshold K. value Therefore, in practical applications, the first sampling frequency is higher than the second sampling frequency but lower than the subsequent third sampling frequency. When fluctuations in charging current or battery voltage may affect the generator's operating state, the system uses the second sampling frequency to sample the charging data in automatic mode, thereby minimizing data disturbances. In manual mode, the third sampling frequency is used to sample the charging data. Since the generator's shutdown control is only associated with the mobile terminal, disturbances in the sampled data will not affect the generator's operating state. In step S400, the second sampling frequency is lower than the third sampling frequency. In practice, the data collected at the second and third sampling frequencies are averaged, that is, the data collected at the current moment is averaged with a set number of previously collected data, and then the averaged value is used as the sampled value, thereby reducing interference caused by fluctuations in charging data.

[0119] In this embodiment of the application, the optimized remote charging management method further includes:

[0120] S510: Obtain and store the theoretical charging reference curves corresponding to the battery under different charging modes and different charging environment parameters.

[0121] S520: Obtain the current battery charging mode, charging environment parameters, and real-time charging curve;

[0122] S530, compare the real-time charging curve with the theoretical charging reference curve corresponding to the current charging mode and charging / discharging environment conditions:

[0123] S5401, if the difference between the two exceeds the first set range, an alarm message is output to the mobile terminal, and feedback information from the mobile terminal is obtained to adjust the generator start / stop status or battery charging mode.

[0124] S5402 If the difference between the two exceeds the second set range, the generator will be controlled to stop charging and an alarm message will be output to the mobile terminal.

[0125] The difference between the real-time charging curve and the theoretical charging reference curve includes the deviation of the curve, or the difference between the charging current or battery voltage corresponding to a specific point on the curve.

[0126] Charging modes include high-power DC charging mode or low-power AC charging mode, or a combination of the two for time-sharing charging, that is, charging in different modes at different times as needed.

[0127] Based on the above technical solution, when the system detects a difference between the battery charging curve and the theoretical charging reference curve, it can promptly notify the user to adjust the battery charging mode or shut down the generator. When the system detects a serious deviation between the battery charging curve and the theoretical charging reference curve, it will automatically disconnect the generator and the energy storage battery to avoid serious consequences caused by abnormal charging. At the same time, it will notify the user of the real-time status of the generator or battery, thereby improving the safety of the battery charging process.

[0128] In practical applications, there are situations where one generator supplies power to multiple energy storage batteries. In this case, a programmable selector switch is usually configured between the generator and the energy storage batteries, which can select any energy storage battery and the generator according to the control command.

[0129] Therefore, the remote charging management method described in this application further includes:

[0130] S610 establishes and stores the relationship between the number of batteries and the charging gating mode;

[0131] S620 detects and confirms the number of batteries currently connected to the generator and the charging status of each battery;

[0132] S630 determines the charging gate mode based on the command information from the mobile terminal or selects it according to the default settings.

[0133] The charging gating mode mentioned in step S610 includes:

[0134] The batteries are sorted and charged sequentially according to the time it takes for each battery to establish a charging connection with the generator.

[0135] The batteries are charged sequentially according to their current remaining charge levels; or

[0136] The batteries are charged sequentially according to their required charging time; or

[0137] Set charging priorities for each battery, and charge each battery sequentially according to its charging priority order connected to the generator.

[0138] Therefore, when multiple energy storage batteries are connected to the generator for charging at the same time, the charging sequence of each battery can be managed according to user selection or default settings.

[0139] In practical applications, factors affecting remote charging of vehicle batteries include not only the battery or generator itself, but also the network communication status between the charging site and the mobile terminal. When communication between the charging site and the mobile terminal is interrupted, the user often loses control over the generator's operating status. In this embodiment, when the network communication between the charging site and the mobile terminal is poor, corresponding control actions will be taken based on preset rules, as follows:

[0140] S710 establishes a correlation between the request for confirmation from the mobile terminal and a specific point or trend on the battery charging curve. The aforementioned request for confirmation from the mobile terminal refers to: the charging site sending a confirmation request to the mobile terminal to obtain instruction information from the mobile terminal, such as whether to change the charging mode or whether to disconnect the electrical connection between the generator and the energy storage battery. Combined with... Figure 2 As shown, specific points on the battery charging curve include, but are not limited to, the nodes where the battery charging stage transitions from the constant current charging stage to the constant voltage charging stage, and specific trends on the battery charging curve include the slope of the charging current curve or the charging voltage curve reaching a set value.

[0141] S720, based on the current real-time charging curve, estimates and generates the mobile terminal confirmation actions associated with subsequent charging processes, generates a request action instruction set, and temporarily stores it. If the current battery charging stage is already in the constant voltage charging stage, and subsequent actions requiring mobile terminal confirmation include battery charging mode and generator shutdown mode, then the above two actions to be confirmed are integrated into a request action instruction set and temporarily stored.

[0142] S730 acquires and monitors the network communication status between the mobile terminal and the charging site in real time:

[0143] S741, If ​​the network communication between the mobile terminal and the charging site is good, no operation is required;

[0144] S742, if the network communication strength value is lower than the set value, then send the current request action instruction set to the mobile terminal.

[0145] In the embodiments of this application, the network communication in the above steps refers to the strength of the mobile communication network signal between the charging site and the mobile terminal, such as the 5G signal strength.

[0146] S750 confirms various control commands in the subsequent charging process based on the feedback information from the mobile terminal regarding the aforementioned request action command set.

[0147] The above technical solution can integrate and store the information that the mobile terminal needs to confirm during the subsequent charging process based on the charging status reflected by the real-time charging curve. When the network communication status is poor, the information can be sent to the mobile terminal in advance. Later, the generator status can be adjusted according to the instructions fed back by the mobile terminal in advance, so as to avoid the situation of battery overcharging or generator premature shutdown due to communication interruption between the charging site and the mobile terminal.

[0148] In practical applications, control connections can be established between the generator and multiple mobile terminals. Thus, when one mobile terminal is disconnected, the generator's shutdown mode can be selected via other mobile terminals. Therefore, determining the generator shutdown mode based on feedback information from the mobile terminals further includes:

[0149] S410, storing communication address information of at least two mobile terminals and sorting them according to priority, the communication address information including mobile phone numbers or registered accounts of specific apps.

[0150] S420: The timer starts when the confirmation message is sent. If no feedback message is received from the current mobile terminal within the set time, a new confirmation message is sent to the next mobile terminal according to the order of the mobile terminals and the timer is reset.

[0151] S430: If the time elapsed from the first confirmation message to the current moment exceeds the set value, the default generator shutdown mode will be automatic.

[0152] To implement the aforementioned remote charging management method for vehicle batteries, this application also discloses a remote charging management system for vehicle batteries, such as... Figure 4 As shown, it mainly includes: a mobile terminal 100, a communication unit 200, and a charging field terminal 300. The charging field terminal 300 further includes a data storage unit 310, a data acquisition unit 320, a charging duration estimation unit 330, a mode confirmation unit 340, and a charging execution unit 350.

[0153] The communication unit 200 is configured to enable communication between the mobile terminal 100 and the charging site terminal 300. In specific applications, it can be configured as a 5G communication module located in the mobile terminal 100 and the charging site terminal 300.

[0154] The mobile terminal 100 is configured to output and display the real-time charging status and pending confirmation information of the energy storage battery, and output confirmation information based on user operation. Specifically, it can be implemented using a smartphone or tablet with a set APP loaded.

[0155] The data storage unit 310 includes a data storage device located at the charging site 300, which is mainly configured to associate and store the correspondence between battery charging data and battery charging completion, as well as the charging data of each energy storage battery at each time period.

[0156] The data acquisition unit 320 is configured to acquire battery charging data based on a selected sampling frequency. For example, charging data is acquired at a first sampling frequency during the early stages of charging, and at a second or third sampling frequency later depending on the user's selection. This is specifically achieved using a current detection circuit installed on the charging line or a battery voltage detection circuit installed on the battery port. In addition, the data acquisition unit 320 is also equipped with sensor components for acquiring charging environmental parameters, such as a temperature sensor for acquiring the temperature of the battery body and / or the charging environment. In certain embodiments, the data acquisition unit 320 is also equipped with a humidity sensor or a vibration monitoring sensor.

[0157] The charging time estimation unit 330 is used to receive the current battery charging data, combine the correspondence between the battery charging data stored in the data storage unit 310 and the battery charging completion rate, estimate the current battery charging completion time and output it.

[0158] The mode confirmation unit 340 is connected to the mobile terminal 100 via mobile communication signal and is also connected to the generator control terminal signal. Before the charging completion time, it sends a confirmation message to the mobile terminal 100 at a set time. Then, it receives the feedback information from the mobile terminal 100, determines the generator shutdown mode, and outputs the corresponding control signal to the generator.

[0159] The charging execution unit 350 is configured to be controlled and connected to the generator control terminal and signal-connected to the mode confirmation unit 340, and receives the output signal of the mode confirmation unit 340 to determine the generator shutdown mode.

[0160] The shutdown modes include automatic and manual modes. When the generator is shut down in automatic mode, the data acquisition unit 320 collects battery charging data in real time at a second sampling frequency. When charging data indicating battery charging completion is detected, a control signal is output to shut down the generator or disconnect the generator from the energy storage battery. When the generator is shut down in manual mode, the data acquisition unit 320 collects battery charging data in real time at a third sampling frequency. When charging data indicating battery charging completion is detected, an instruction request message is output to the mobile terminal 100, and based on the instruction message fed back by the mobile terminal 100, the generator is shut down or the connection between the generator and the energy storage battery is disconnected.

[0161] In practical applications, the aforementioned data storage unit 310, charging time estimation unit 330, and mode confirmation unit 340 can be configured in the cloud server 400 to facilitate data storage and retrieval, as well as data processing.

[0162] In this embodiment of the application, the data storage unit 310 also stores the theoretical charging reference curves corresponding to the charging of the battery under different charging modes and different charging environment parameters.

[0163] The charging site terminal 300 also includes a charging alarm unit 360, configured to acquire the current battery charging mode, charging environment parameters, and real-time charging curve. The real-time charging curve is compared with the theoretical charging reference curve corresponding to the current charging mode and charging / discharging environment conditions. If the difference exceeds a first preset range, an alarm message is output to the mobile terminal 100, and feedback information from the mobile terminal 100 is obtained to adjust the generator's start / stop state or the battery charging mode. If the difference exceeds a second preset range, the generator is controlled to stop charging, and an alarm message is output to the mobile terminal 100. The aforementioned real-time charging curve is generated by fitting the currently acquired charging data with previously stored charging data.

[0164] Finally, this application also discloses a remote charging management terminal for a vehicle battery, including a display, a memory, a processor, and a program module stored in the memory and executable on the processor. When the program module is executed, it is used to implement the steps of the remote charging management method for a vehicle battery as described above.

[0165] In one embodiment, the aforementioned memory can be an internal storage unit of the terminal, such as a hard disk or memory built into the terminal. In another embodiment, the aforementioned memory can be an external storage device of the terminal, such as a plug-in hard disk, smart memory card, secure digital card, or video memory card configured on the terminal. It is mainly used to store program modules for implementing the remote charging management method for the vehicle battery as described above.

[0166] The processor is a central processing unit, microprocessor, or other data processing chip configured in the terminal.

[0167] The display is preferably a touch screen display with touch interaction function, but it can also be a liquid crystal display or an LED display, used to display a visual user interface.

[0168] The above description is merely a preferred embodiment of the present invention. The scope of protection of the present invention is not limited to the above embodiments. All technical solutions falling within the scope of the present invention's concept are within the scope of protection of the present invention. It should be noted that for those skilled in the art, any improvements and modifications made without departing from the principles of the present invention should also be considered within the scope of protection of the present invention.

Claims

1. A remote charging management method for vehicle batteries, characterized in that, include: Establish and store the correlation between battery charging data and battery charging completion rate; Collect and store charging data at the first sampling frequency, and obtain and estimate the charging completion time based on the current charging data; Send a confirmation message to the mobile terminal at a set time before the charging completion time; The generator shutdown mode is determined based on feedback information from the mobile terminal: In automatic mode, battery charging data is collected in real time at the second sampling frequency. When charging data indicating that the battery is fully charged is detected, a control signal is output to shut down the generator or disconnect the generator from the energy storage battery. In manual mode, battery charging data is collected in real time at a third sampling frequency. When charging data indicating that the battery is fully charged is detected, an instruction request message is output to the mobile terminal, and the generator is turned off or the connection between the generator and the energy storage battery is disconnected based on the instruction message fed back by the mobile terminal. Among them, the second sampling frequency, the first sampling frequency, and the third sampling frequency increase sequentially; The charging data includes charging current data and battery voltage data; Establish and store the correlation between battery charging data and battery charging completion status, including: Obtain historical battery charging data and its corresponding charging duration data, and associate and store the two to form a theoretical charge and discharge curve; Acquire battery charge and discharge attenuation data and its corresponding usage time data and charging environment parameters, and store the three together to form a theoretical attenuation curve. Based on the current battery usage time and charging environment parameters, and combined with the theoretical attenuation curve and theoretical charge / discharge curve, a theoretical charging reference curve is generated and stored in association with the battery ID. The process of acquiring and estimating the charging completion time based on current charging data includes: Based on the currently acquired charging data and the previously stored charging data, a real-time charging curve is generated by fitting. Obtain the current battery ID information and retrieve the corresponding theoretical charging reference curve to compare with the current real-time charging curve, generate the charging time required, and calculate the charging completion time. The charging environment parameters include the temperature of the battery body and the surrounding environment during charging.

2. The remote charging management method for vehicle batteries according to claim 1, characterized in that, The remote charging management method further includes: Obtain and store the theoretical charging reference curves of the battery under different charging modes and charging environment parameters; Obtain the current battery charging mode, charging environment parameters, and real-time charging curve; The real-time charging curve is compared with the theoretical charging reference curve corresponding to the current charging mode and charging / discharging environment conditions: If the difference between the two exceeds the first set range, an alarm message is output to the mobile terminal, and feedback information from the mobile terminal is obtained to adjust the generator start / stop status or battery charging mode. If the difference between the two exceeds the second set range, the generator will be controlled to stop charging and an alarm message will be sent to the mobile terminal. The charging modes include high-power DC charging mode, low-power AC charging mode, or a combination of both for time-sharing charging.

3. The remote charging management method for vehicle batteries according to claim 2, characterized in that, Sending a confirmation message to the mobile terminal at a set time before the charging completion time includes: Based on the generated theoretical charging reference curve, charging data characterizing the completion of battery charging is obtained and stored as a threshold K for triggering charging stop. value ; Based on the fitted real-time charging curve, the fluctuation range of the battery charging data is calculated, and the maximum fluctuation value K of the charging data is stored. max ; Based on the current real-time charging curve, the charging data is calculated to reach K. Target The set time is obtained by calculating the time interval; Among them, K Target =K value -K max ; The parameters used to calculate the fluctuation range of battery charging data are the charging current value, the battery voltage value, or a weighted combination of the two.

4. The remote charging management method for vehicle batteries according to claim 1, characterized in that, The remote charging management method further includes: Establish and store the relationship between battery quantity and charging gating mode; Detect and confirm the number of batteries currently connected to the generator and the charging status of each battery; The charging strobe mode is determined based on the command information from the mobile terminal or selected according to the default settings. The charging strobe mode includes: The batteries are sorted and charged sequentially according to the time it takes for each battery to establish a charging connection with the generator. The batteries are charged sequentially according to their current remaining charge levels; or The batteries are charged sequentially according to their required charging time; or Set charging priorities for each battery, and charge each battery sequentially according to its charging priority order connected to the generator.

5. The remote charging management method for vehicle batteries according to claim 1, characterized in that, The remote charging management method further includes: Establish a correlation between the request for confirmation from the mobile terminal and specific points or trends on the battery charging curve; Based on the current real-time charging curve, the request for mobile terminal confirmation action associated with the subsequent charging process is estimated and generated, and a request action instruction set is generated and temporarily stored. Real-time acquisition and monitoring of network communication status between mobile terminals and charging site terminals; When the network communication strength value is lower than the set value, send the current request action instruction set to the mobile terminal; Based on the feedback information from the mobile terminal regarding the aforementioned request action instruction set, confirm the various control instructions for the subsequent charging process.

6. The remote charging management method for vehicle batteries according to claim 1, characterized in that, The determination of the generator shutdown mode based on feedback information from the mobile terminal includes: Store and sort the communication address information of at least two mobile terminals; The timer starts when the confirmation message is sent. If no feedback message is received from the current mobile terminal within the set time, a new confirmation message is sent to the next mobile terminal according to the order of the mobile terminals and the timer restarts. If the time elapsed from the first confirmation message sent to the current moment exceeds the set value, the default generator shutdown mode is automatic.

7. A remote charging management system for vehicle batteries, characterized in that, The method for remote charging management of vehicle batteries as described in any one of claims 1-6 includes: The communication unit (200) is configured to enable communication between the mobile terminal (100) and the charging field terminal (300); A mobile terminal (100) is configured to output and display the real-time charging status and pending confirmation information of the energy storage battery, and output confirmation information based on user operation. Charging site terminal (300): includes: The data acquisition unit (320) is configured to acquire and output battery charging data and charging environment parameters of the charging site terminal (300) based on a selected sampling frequency; The data storage unit (310) is configured to associate and store the correspondence between the battery ID and its charging data and the battery charging completion status, and the charging data; The charging time estimation unit (330) is configured to receive the current battery charging data and estimate the battery charging completion time by combining the correspondence between the battery charging data and the battery charging completion rate. The mode confirmation unit (340) is configured to communicate with the mobile terminal (100) and the generator, and sends confirmation information to the mobile terminal (100) at a set time before the charging completion time, and then receives and determines the generator shutdown mode based on the feedback information from the mobile terminal (100). The charging execution unit (350) is configured to be connected to the generator control terminal for control, and receives the output signal of the mode confirmation unit (340) to determine the generator shutdown mode: In automatic mode, battery charging data is collected in real time at the second sampling frequency. When charging data indicating that the battery is fully charged is detected, a control signal is output to shut down the generator or disconnect the generator from the energy storage battery. In manual mode, battery charging data is collected in real time at the third sampling frequency. When charging data indicating that the battery is fully charged is detected, an instruction request message is output to the mobile terminal (100), and the generator is turned off or the connection between the generator and the energy storage battery is disconnected based on the instruction message fed back by the mobile terminal (100). Among them, the second sampling frequency, the first sampling frequency, and the third sampling frequency increase sequentially; The charging data includes charging current data and battery voltage data.

8. The remote charging management system for vehicle batteries according to claim 7, characterized in that, The data storage unit (310) also stores the theoretical charging reference curves corresponding to the charging of the battery under different charging modes and different charging environment parameters. The charging field terminal (300) also includes a charging alarm unit (360), configured to acquire the current battery charging mode, charging environment parameters, and real-time charging curve, and compare the real-time charging curve with the theoretical charging reference curve corresponding to the current charging mode and charging / discharging environment conditions: If the difference between the two exceeds the first set range, an alarm message is output to the mobile terminal (100), and the feedback information from the mobile terminal (100) is obtained to adjust the generator start / stop status or battery charging mode. If the difference between the two exceeds the second set range, the generator will be controlled to stop charging and an alarm message will be output to the mobile terminal (100). The real-time charging curve is generated by fitting the currently acquired charging data and the previously stored charging data.

9. A remote charging management terminal for a vehicle battery, characterized in that, The terminal includes: a display, a memory, a processor, and a program module stored in the memory and executable on the processor. When the program module is executed, it is used to implement the steps of the remote charging management method for vehicle batteries as described in any one of claims 1-6.

Images