Battery charging method, device and computer readable storage medium

Abstract

The present invention discloses a battery charging method, device and computer-readable storage medium. The method includes: obtaining vehicle information of a target hybrid vehicle at the current moment, battery status information corresponding to a target power battery of the target hybrid vehicle and the sleep time of the target hybrid vehicle; determining the energy power curve required for vehicle startup corresponding to the vehicle information, and the battery energy decay curve corresponding to the battery status information; when the sleep time of the target hybrid vehicle exceeds a predetermined threshold, correcting the battery power of the target power battery to obtain a power correction result; determining the target charging waiting time of the target power battery based on the battery energy decay curve, the energy power curve required for vehicle startup and the power correction result; and charging the target power battery after the target charging waiting time. The present invention solves the technical problem that power batteries are difficult to maintain without dedicated charging equipment.

Description

Technical Field

[0001] The present invention relates to the field of battery intelligent management, and in particular to a battery charging method, device and computer-readable storage medium. Background Art

[0002] In the related art, the power battery of a hybrid vehicle needs to be recharged or maintained using dedicated charging equipment, but this method relies on dedicated charging equipment corresponding to the power battery. Without the corresponding dedicated equipment, the power battery cannot be maintained, causing inconvenience to the user.

[0003] Therefore, in the related art, there is a technical problem that the power battery is difficult to maintain without dedicated charging equipment.

[0004] To address the above-mentioned problems, no effective solution has been proposed yet. Summary of the invention

[0005] Embodiments of the present invention provide a battery charging method, device, and computer-readable storage medium to at least solve the technical problem that power batteries are difficult to maintain without dedicated charging equipment.

[0006] According to one aspect of an embodiment of the present invention, a battery charging method is provided, comprising: obtaining vehicle information of a target hybrid vehicle at a current moment, battery status information corresponding to a target power battery of the target hybrid vehicle, and a sleep time of the target hybrid vehicle; determining a vehicle startup energy power curve corresponding to the vehicle information, and a battery energy decay curve corresponding to the battery status information; in a case where the sleep time of the target hybrid vehicle exceeds a predetermined threshold, correcting the battery power of the target power battery to obtain a power correction result; determining a target charging waiting time of the target power battery based on the battery energy decay curve, the vehicle startup energy power curve, and the power correction result, wherein the target charging waiting time is the time required to wait relative to the current moment; and charging the target power battery after the target charging waiting time has elapsed.

[0007] Optionally, the vehicle information includes at least one of the following: motor power, motor torque, motor model, motor controller fault information, engine power, engine torque, engine model and engine controller fault information; the battery status information includes at least one of the following: battery temperature, battery charge, battery health status information, battery voltage, battery current, battery number, battery model, battery capacity and battery fault information.

[0008] Optionally, the battery power of the target power battery is calibrated to obtain a power correction result, including: when there is battery energy decay data under the same operating conditions in historical data of the target power battery, determining the power correction result based on the battery energy decay data.

[0009] Optionally, based on the battery energy decay curve, the energy power curve required for vehicle starting and the power calibration result, a target power replenishment waiting time for the target power battery is determined, including: based on the battery energy decay curve, the energy power curve required for vehicle starting and the power calibration result, determining the initial power replenishment waiting time for the target power battery; obtaining the anti-aging power replenishment waiting time corresponding to the target power battery; when the initial power replenishment waiting time is less than the anti-aging power replenishment waiting time, determining the initial power replenishment waiting time as the target power replenishment waiting time.

[0010] Optionally, the method further includes: when the initial power replenishment waiting time is greater than the anti-aging power replenishment waiting time, determining the anti-aging power replenishment waiting time as the target power replenishment waiting time.

[0011] Optionally, after a target power replenishment waiting time has passed, the target power battery is recharged, including: sending a power replenishment request based on the target power replenishment waiting time; receiving power replenishment request feedback information corresponding to the power replenishment request; and when the power replenishment request feedback information indicates that power replenishment is allowed, recharging the target power battery according to the target power replenishment waiting time.

[0012] Optionally, the method further includes: when the power replenishment request feedback information indicates that power replenishment is not allowed, returning to the operation step of correcting the power of the target power battery; when the power replenishment request feedback information indicates that power replenishment is prohibited, stopping sending the power replenishment request.

[0013] According to another aspect of an embodiment of the present invention, a battery charging device is also provided, including: an acquisition module, used to acquire vehicle information of a target hybrid vehicle at a current moment, battery status information corresponding to a target power battery of the target hybrid vehicle, and a sleep time of the target hybrid vehicle; a first determination module, used to determine a vehicle startup energy power curve corresponding to the vehicle information, and a battery energy decay curve corresponding to the battery status information; a correction module, used to correct the battery power of the target power battery when the sleep time of the target hybrid vehicle exceeds a predetermined threshold, and obtain a power correction result; a second determination module, used to determine a target charging waiting time of the target power battery based on the battery energy decay curve, the vehicle startup energy power curve and the power correction result, wherein the target charging waiting time is the time required to wait relative to the current moment; and a charging module, used to charge the target power battery after the target charging waiting time has passed.

[0014] According to another aspect of an embodiment of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium including a stored program, wherein when the program is running, the device where the computer-readable storage medium is located is controlled to execute any one of the above-mentioned battery charging methods.

[0015] According to another aspect of an embodiment of the present invention, a computer device is provided, including: a memory and a processor, wherein the memory stores a computer program; and the processor is used to execute the computer program stored in the memory, wherein when the computer program is executed, the processor executes any one of the above-mentioned battery charging methods.

[0016] In an embodiment of the present invention, by collecting vehicle information, sleep time and battery status information of the target hybrid vehicle at the current moment, the above information is used to determine the energy power curve required for vehicle starting and the battery energy decay curve that meet the current working conditions, and the battery power of the target power battery is corrected at a predetermined time interval when the sleep time of the target hybrid vehicle is long enough. It is possible to determine how long it will take to replenish the target power battery from the current moment under the current working conditions, that is, the target replenishment waiting time, based on the battery energy decay curve, the energy power curve required for vehicle starting and the power correction result, that is, based on the energy corresponding to the remaining power of the power battery and the energy power required for vehicle starting. According to the time, the replenishment operation of the target power battery can be completed in time to avoid the problem that the engine of the target hybrid vehicle cannot be started and the vehicle cannot be operated due to power loss or output power reduction of the power battery, thereby solving the technical problem that the power battery is difficult to maintain without dedicated charging equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0018] Figure 1 is a flow chart of a battery charging method according to an embodiment of the present invention;

[0019] Figure 2 is a schematic diagram of a network architecture according to an optional implementation mode of the present invention;

[0020] Figure 3 is an overall control block diagram according to an optional embodiment of the present invention;

[0021] Figure 4 is a user interaction control flow chart according to an optional implementation mode of the present invention;

[0022] Figure 54 is a structural block diagram of a battery charging device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0023] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0024] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0025] According to an embodiment of the present invention, an embodiment of a method for battery charging is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0026] Figure 1 is a flow chart of a battery charging method according to an embodiment of the present invention. Figure 1 As shown, the method comprises the following steps:

[0027] Step S102, obtaining vehicle information of the target hybrid vehicle at the current moment, battery status information corresponding to the target power battery of the target hybrid vehicle, and the sleep time of the target hybrid vehicle;

[0028] Step S104, determining a vehicle startup required energy power curve corresponding to the vehicle information, and a battery energy decay curve corresponding to the battery status information;

[0029] Step S106, when the sleep time of the target hybrid electric vehicle exceeds a predetermined threshold, calibrating the battery power of the target power battery to obtain a power calibration result;

[0030] Step S108, based on the battery energy decay curve, the energy power curve required for vehicle startup and the power calibration result, determine the target power replenishment waiting time of the target power battery, wherein the target power replenishment waiting time is the waiting time required relative to the current moment;

[0031] Step S110: After the target charging waiting time has elapsed, the target power battery is charged.

[0032] Through the above steps, the vehicle information, sleep time and battery status information of the target hybrid vehicle at the current moment are collected, and the above information is used to determine the energy power curve and battery energy decay curve required for vehicle starting that meet the current working conditions. When the sleep time of the target hybrid vehicle is long enough, the battery power of the target power battery is corrected at a predetermined time interval. According to the battery energy decay curve, the energy power curve required for vehicle starting and the power correction result, that is, according to the energy corresponding to the remaining power of the power battery and the energy power required for vehicle starting, it can be determined how long it will take to replenish the target power battery from the current moment under the current working conditions, that is, the target replenishment waiting time. According to the time, the replenishment operation of the target power battery can be completed in time to avoid the problem that the engine of the target hybrid vehicle cannot be started and the vehicle cannot be operated due to power loss or output power reduction of the power battery, thereby solving the technical problem that the power battery is difficult to maintain without dedicated charging equipment.

[0033] It should be noted that, regarding the above-mentioned battery energy decay curve and the energy power curve required for vehicle starting, basic curves for different vehicle models, different batteries, different temperatures and other conditions can be pre-set in the big data platform. After obtaining the above-mentioned vehicle information, sleep time and battery status information, the corresponding battery energy decay basic curve and the energy power basic curve required for vehicle starting are first determined according to the battery temperature, battery and car attribute information, and then the above two basic curves are adjusted according to the obtained information to obtain a battery energy decay curve and an energy power curve required for vehicle starting that are more in line with the current actual situation, thereby improving the accuracy of the analysis results.

[0034] It should be noted that the above battery energy curve can be set according to different battery temperature conditions, with the horizontal axis being time and the vertical axis being battery energy. The above vehicle starting energy and power curve can have temperature as the horizontal axis and the energy and power required when starting the vehicle as the vertical axis.

[0035] As an optional embodiment, the vehicle information includes at least one of the following: motor power, motor torque, motor model, motor controller fault information, engine power, engine torque, engine model and engine controller fault information; the battery status information includes at least one of the following: battery temperature, battery power, battery health status information, battery voltage, battery current, battery number, battery model, battery capacity and battery fault information. The above information can be collected by using the equipped information collection module when the target hybrid vehicle is stopped or started, and the collected data can be transmitted to the big data platform for analysis or storage. At the same time, using the above vehicle information and battery status information, various information can be integrated to accurately analyze the target power battery charging waiting time. In addition, it can be judged whether the collected data is valid based on the above fault information. For example, in the case of containing fault information, it can be considered that the collected data is invalid. For invalid data, it can be recorded, stored or analyzed without recording, so as to improve computing efficiency and save storage space. It can also issue prompt information for fault information to remind that there is a fault in the battery, motor or engine.

[0036] As an optional embodiment, the battery power of the target power battery is corrected to obtain a power correction result, including: when there is battery energy decay data under the same working condition in the historical data of the target power battery, the power correction result is determined based on the battery energy decay data. When correcting the battery power of the target power battery, not only can the power decay of the target power battery be analyzed according to the battery energy decay curve, but also the battery energy decay data under the same working condition can be obtained from the big data platform to achieve power correction of the target power battery. For example, the target hybrid vehicle stops at noon and starts to sleep. The big data platform can search for the battery power decay data corresponding to the same parking and sleeping conditions in the historical data of the target hybrid vehicle or other same or similar models based on the information collected at the current time, and use the data to correct the power of the target power battery.

[0037] It should be noted that the same parking sleep condition can be the same parking time, battery temperature during parking, parking duration, etc. as the target hybrid electric vehicle. In the absence of the same parking sleep condition, the battery power attenuation data corresponding to the similar parking sleep condition can also be used. For example, the similar parking sleep condition can be the same parking time, the same battery temperature during parking but a shorter parking duration. If there is no corresponding battery power attenuation data under the same parking sleep condition and the similar parking sleep condition, the target power battery can continue to be corrected according to the battery energy attenuation curve.

[0038] It should be noted that when determining the power correction result based on the battery energy decay data, if there are multiple battery power decay data under the same parking sleep condition or similar parking sleep conditions, the battery power decay data with the largest decay amount can be used to replace the estimated remaining power of the target hybrid vehicle to complete the correction of the target power battery.

[0039] As an optional embodiment, based on the battery energy decay curve, the energy power curve required for vehicle startup and the power calibration result, the target charging waiting time of the target power battery is determined, including: based on the battery energy decay curve, the energy power curve required for vehicle startup and the power calibration result, the initial charging waiting time of the target power battery is determined; the anti-aging charging waiting time corresponding to the target power battery is obtained; when the initial charging waiting time is less than the anti-aging charging waiting time, the initial charging waiting time is determined as the target charging waiting time. While determining the initial charging waiting time of the target power battery based on the battery energy decay curve, the energy power curve required for vehicle startup and the power calibration result, the anti-aging charging waiting time corresponding to the target power battery can also be obtained, and the anti-aging charging waiting time is compared with the initial charging waiting time, and the smaller charging waiting time is determined as the target charging waiting time. The target charging waiting time determined in this way can ensure that the target hybrid vehicle can be started normally, and can also ensure that the target power battery is not easy to age.

[0040] As an optional embodiment, the method further includes: when the initial power replenishment waiting time is greater than the anti-aging power replenishment waiting time, determining the anti-aging power replenishment waiting time as the target power replenishment waiting time.

[0041] It should be noted that the above process of calibrating the power level of the target power battery and determining the target power replenishment waiting time may be performed cyclically at predetermined time intervals.

[0042] As an optional embodiment, after the target power replenishment waiting time has passed, the target power battery is recharged, including: sending a power replenishment request based on the target power replenishment waiting time; receiving power replenishment request feedback information corresponding to the power replenishment request; and when the power replenishment request feedback information indicates that power replenishment is allowed, the target power battery is recharged according to the target power replenishment waiting time. After determining the target power replenishment waiting time, the corresponding power replenishment request can be sent, and different power replenishment operations can be performed according to different power replenishment request feedback information. For example, when the power replenishment request feedback information indicates that power replenishment is allowed, the target power battery can be recharged according to the target power replenishment waiting time obtained previously.

[0043] As an optional embodiment, the method further includes: when the power replenishment request feedback information indicates that power replenishment is not allowed, returning to the operation step of calibrating the power of the target power battery; when the power replenishment request feedback information indicates that power replenishment is prohibited, stopping sending the power replenishment request. If the power replenishment request feedback information indicates that power replenishment is not allowed, power replenishment may be temporarily not performed, and when the power of the target power battery is calibrated next time, a power replenishment request is sent again according to the target power replenishment waiting time to determine whether to perform power replenishment. If the power replenishment request feedback information indicates that power replenishment is prohibited, power replenishment is not performed and no power replenishment request is sent.

[0044] It should be noted that in the process of performing the charging analysis and charging operation on the target hybrid electric vehicle, the relevant data can also be selectively recorded and stored. For example, the parking sleep time, sleep duration and corresponding power battery power attenuation of the vehicle can be recorded as a set of data, and the power battery power attenuation and charging time can also be recorded as a set of data, etc. The above data can be stored in the big data platform, and can also be used as historical data to provide reference for subsequent power correction or charging waiting time analysis.

[0045] It should be noted that the methods in the above embodiments and optional embodiments can be implemented by a big data platform module, a charging control module and a data transmission module. Among them, the big data platform module may include: an information acquisition module, an information processing module, a charging control module and a user interaction module, which are used to receive data, process information, determine the charging waiting time and interact with the charging request. The charging control module may include: a vehicle control unit (VCU), a battery management system (BMS), an engine controller (EMS), a motor controller (MCU) and a network harness (CAN1) connected to the controller, which can be used to perform charging operations and upload information according to the target charging waiting time. The data transmission module may include: a gateway (GW), a vehicle-mounted remote terminal (T-BOX), a mobile phone application (APP), a GW connected to a VCU network harness (CAN2), and a GW connected to a T-BOX network harness (CAN3), to realize data forwarding between the big data platform module and the charging control module.

[0046] Based on the above embodiments and optional embodiments, the present invention proposes an optional implementation mode, which is described below.

[0047] Hybrid vehicles use high-voltage motors to start the engine. The power battery used as the starting power source has problems with power loss and reduced output power when it is low temperature, aged, or parked for a long time. When the power battery is low in power or has reduced output power, the engine cannot be started and the vehicle cannot run. In addition, the power battery cannot be maintained without dedicated charging equipment, which will cause inconvenience to users.

[0048] An optional implementation manner of the present invention performs data analysis based on a big data platform, actively manages the power of the power battery, and at an appropriate time, starts the generator to generate electricity and replenish the power of the power battery, thereby reducing the risk of the engine being unable to start due to insufficient power battery function. At the same time, an optional implementation manner of the present invention can also reduce the problem of battery aging caused by long-term parking of the vehicle by actively replenishing power in a timely manner.

[0049] An optional implementation of the present invention proposes a hybrid vehicle power battery charging control method based on a big data platform. Figure 2 is a schematic diagram of a network architecture according to an optional implementation mode of the present invention, Figure 3 is an overall control block diagram according to an optional embodiment of the present invention, such as Figure 2 and Figure 3 As shown in FIG. 1 , the network architecture includes: a big data platform module, a power supply control network and a data transmission network. The following is a detailed introduction.

[0050] (1) Power supply control network

[0051] The power replenishment control network includes: vehicle control unit (VCU), battery management system (BMS), engine controller (EMS), motor controller (MCU) and network harness (CAN1) connecting the controllers.

[0052] The power replenishment control network can receive power replenishment control instructions forwarded by the data transmission network, and upload assembly information, vehicle operation information, and basic vehicle information to the data transmission network, specifically including: signal transmission and power replenishment control.

[0053] 1. Signal transmission

[0054] BMS sends the power battery SOC in real time via CAN1 at , Battery Health Status SOH at , battery voltage V bat , battery current I bat , battery fault status FAULT bat As well as basic battery information and other signals, MCU and EMS send FAULT in real time through CAN1 motor 、FAULT eng As well as signals such as basic information of the motor and engine, the VCU receives them in real time and sends basic information such as BMS, MCU, EMS, etc. to the GW via CAN2 in real time.

[0055] 2. Power replenishment control

[0056] After the VCU is awakened through CAN2, when the value of the addition charge control flag (additioncharge) transmitted by GW is 1, the addition charge control is started. The VCU wakes up the BMS, MCU, and EMS through CAN1, and each controller coordinates the engine, generator, and power battery to charge. When the addition charge target value threshold SOCa is reached, power generation is stopped. If a fault occurs during the charging process, it is uploaded to the data transmission network.

[0057] (2) Data transmission network

[0058] The data transmission network includes: gateway (GW), vehicle-mounted remote terminal (T-BOX), mobile application (APP), GW connected to VCU network harness (CAN2), and GW connected to T-BOX network harness (CAN3).

[0059] The data transmission network can receive information uploaded by the power replenishment control network and upload it to the big data platform system, receive big data platform information, and forward it to the power replenishment control network, specifically including: signal processing and transmission.

[0060] 1. Signal processing and transmission

[0061] GW transmits the signal of the power replenishment control network to T-BOX through CAN3, and T-BOX transmits the signal to the big data platform system through the wireless network; T-BOX receives the power replenishment control flag (additioncharge) of the big data platform system, and wakes up GW when the value is 1, and GW wakes up VCU through CAN2 and forwards the power replenishment control flag; when T-BOX receives the signal from the mobile phone application to disable the power replenishment function, it does not respond to the power replenishment control flag of the big data platform and does not wake up GW; when the mobile phone application receives the power replenishment control of the big data platform system, the user can choose to agree to the power replenishment, disagree to the current power replenishment, or disable the power replenishment according to his or her needs.

[0062] (3) Big Data Platform Module

[0063] The big data platform modules include: information collection module, information processing module, power replenishment control module, and user interaction module.

[0064] The big data platform system can receive information forwarded by the data transmission network, process information, perform power replenishment control operations, and interact with users, specifically including: information collection, information processing, power replenishment control, and user interaction control.

[0065] 1. Information Collection

[0066] The information collection module receives the information transmitted by T-BOX and forms a single vehicle information record, including vehicle real-time information, basic information, user interaction information, and specific information: battery power SOC at , Battery Health Status SOHat , battery voltage V bat , battery current I bat , battery fault status FAULT bat And battery number, model, capacity; MCU, EMS fault information FAULT motor 、FAULT eng As well as motor and engine power, torque, model; power replenishment control feedback; user feedback information.

[0067] 2. Information Processing

[0068] The battery energy decay curves at different temperatures and the vehicle battery temperature and energy power curves required for starting the vehicle corresponding to different vehicle models and battery properties are set in the big data platform. Among them, the battery energy decay curve uses SOC*SOH as the ordinate and time t as the abscissa; the vehicle battery temperature and energy power curve required for starting the vehicle has energy and power as the ordinate and temperature as the abscissa.

[0069] When the sleep time is greater than the threshold value T1, T2, T3...T n In the single vehicle data, the temperature TEMP of the power battery when starting the vehicle is counted mn And SOC decay value SOC mn . Among them, T1, T2, T3...T n The length of the vehicle's different sleep time can be measured in days or other time units. TEMP mn To correspond to the battery temperature at different sleep times, SOC mn The battery attenuation corresponding to different sleep and start battery temperatures. In addition, there are FAULT bat 、FAULT motor 、FAULT eng Faulty data can be set to invalid data.

[0070] 3. Power replenishment control

[0071] The big data platform system calculates the time required to recharge the battery based on the battery power before parking, the battery energy decay curve, the vehicle battery temperature, and the energy power curve required to start the vehicle.

[0072] During vehicle dormancy, the sleep time, TEMP mn And attenuation SOC mn The power battery is calibrated once for battery capacity, and when the remaining energy and power trigger the vehicle startup demand energy and power curve, a request for recharging is sent.

[0073] If the time to trigger the power replenishment demand is longer than the battery anti-aging power replenishment time, the anti-aging power replenishment time is set separately.

[0074] When calibrating the SOC power, the power battery is first corrected using the power decay data corresponding to the same parking time, parking temperature, and parking duration data as the current vehicle. Secondly, the power battery is corrected using the power decay data corresponding to the same parking time, parking temperature data, and shorter parking duration data. If none of them exist, the power battery can also be corrected based on the battery energy decay curve. In addition, when there are multiple sets of power decay data under the same conditions, the data with the largest decay amount is used as a substitute for power correction.

[0075] The selection of correction data can be based on the target to be achieved, or a combination of other methods can be selected. If the user does not agree with the power replenishment control, the next cycle will be entered.

[0076] 4. User interaction control

[0077] Figure 4 is a user interaction control flow chart according to an optional implementation mode of the present invention, such as Figure 4 As shown, after the mobile phone user receives the power replenishment request sent by the big data platform system, if the user agrees, the big data platform system will send the power replenishment request to the T-BOX; if the user does not agree to the power replenishment request this time, the big data platform system will not send the power replenishment request to the T-BOX, and will make the power replenishment request in the next cycle; if the user prohibits the power replenishment request function this time, the big data platform system will no longer send the power replenishment request to the T-BOX.

[0078] Based on the introduction of the above network architecture, the following implementation methods can be obtained:

[0079] When the vehicle is powered off and stops, the power replenishment control network first transmits a signal, and the signal is uploaded to the big data platform via T-BOX; the big data platform system performs information collection operations to collect single vehicle information; then the big data platform system performs power replenishment control operations, and calculates the time required for battery replenishment based on the battery energy decay curve, vehicle battery temperature, and energy power curve required for starting the vehicle according to the battery power before parking; when the vehicle is started again, if the vehicle's sleep time is less than the sleep time threshold specified in the information processing process, the data will not be counted; if the vehicle's sleep time is greater than the sleep time threshold, the data will be counted according to temperature and time after the vehicle is powered on to form a big data record, and determine whether it is valid data; the vehicle is not started and is dormant After the time is greater than a time period, the power correction of the charging control operation is performed. If there is suitable big data, the big data SOC is used to replace the current power, and the required charging time is recalculated. If not, the charging time calculated by the battery energy decay curve defined by the big data platform continues to be used; when charging is required, a charging request is sent to the mobile phone application. If the user agrees, the big data platform system sends a charging request to the T-BOX; if the user does not agree to the charging request this time, the big data platform system does not send a charging request to the T-BOX, and continues to send charging requests in the next time period; if the user prohibits the charging request function this time, the big data platform system will no longer send a charging request to the T-BOX. In addition, if the time to trigger the charging demand is longer than the battery anti-aging charging time, the anti-aging charging time is set separately.

[0080] According to an embodiment of the present invention, a battery charging device is also provided. Figure 5 is a structural block diagram of a battery charging device according to an embodiment of the present invention. Figure 5 As shown, the device includes: an acquisition module 51, a first determination module 52, a correction module 53, a second determination module 54 and a power replenishment module 55. The device is described below.

[0081] The acquisition module 51 is used to acquire the vehicle information of the target hybrid vehicle at the current moment, the battery status information corresponding to the target power battery of the target hybrid vehicle and the sleep time of the target hybrid vehicle; the first determination module 52 is connected to the acquisition module 51 and is used to determine the energy power curve required for vehicle startup corresponding to the vehicle information and the battery energy decay curve corresponding to the battery status information; the correction module 53 is connected to the first determination module 52 and is used to correct the battery power of the target power battery when the sleep time of the target hybrid vehicle exceeds a predetermined threshold value to obtain a power correction result; the second determination module 54 is connected to the correction module 53 and is used to determine the target power replenishment waiting time of the target power battery based on the battery energy decay curve, the energy power curve required for vehicle startup and the power correction result, wherein the target power replenishment waiting time is the time required to wait relative to the current moment; the power replenishment module 55 is connected to the second determination module 54 and is used to replenish the target power battery after the target power replenishment waiting time has passed.

[0082] According to an embodiment of the present invention, a computer-readable storage medium is also provided, the computer-readable storage medium including a stored program, wherein when the program is running, the device where the computer-readable storage medium is located is controlled to execute any one of the above-mentioned battery charging methods.

[0083] According to an embodiment of the present invention, a computer device is also provided, including: a memory and a processor, the memory storing a computer program; the processor is used to execute the computer program stored in the memory, and when the computer program is running, the processor executes any one of the above-mentioned battery charging methods.

[0084] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0085] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0086] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of the units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0087] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0088] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0089] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

[0090] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A battery charging method, characterized in that: include: Acquire vehicle information of a target hybrid electric vehicle at the current moment, battery status information corresponding to a target power battery of the target hybrid electric vehicle, and a sleep duration of the target hybrid electric vehicle; Determine a vehicle startup required energy power curve corresponding to the vehicle information, and a battery energy decay curve corresponding to the battery status information; When the sleep time of the target hybrid electric vehicle exceeds a predetermined threshold, correcting the battery power of the target power battery to obtain a power correction result; Based on the battery energy decay curve, the energy power curve required for vehicle startup and the power calibration result, determine the target power replenishment waiting time of the target power battery, wherein the target power replenishment waiting time is the waiting time required relative to the current moment; After the target power replenishment waiting time has elapsed, the target power battery is recharged; Wherein, determining the target charging waiting time of the target power battery based on the battery energy decay curve, the energy power curve required for vehicle startup and the power calibration result includes: Determine the initial charging waiting time of the target power battery based on the battery energy attenuation curve, the energy power curve required for vehicle startup and the power calibration result; Obtaining the anti-aging and recharging waiting time corresponding to the target power battery; In the case where the initial power-replenishing waiting time is less than the anti-aging power-replenishing waiting time, determining the initial power-replenishing waiting time as the target power-replenishing waiting time; In a case where the initial power-replenishing waiting time is greater than the anti-aging power-replenishing waiting time, the anti-aging power-replenishing waiting time is determined as the target power-replenishing waiting time.

2. The method according to claim 1, characterized in that The vehicle information includes at least one of the following: motor power, motor torque, motor model, motor controller fault information, engine power, engine torque, engine model and engine controller fault information; The battery status information includes at least one of the following: battery temperature, battery power, battery health status information, battery voltage, battery current, battery number, battery model, battery capacity and battery fault information.

3. The method according to claim 1, characterized in that The step of correcting the battery power of the target power battery to obtain a power correction result includes: When there is battery energy decay data under the same operating condition in the historical data of the target power battery, the power correction result is determined based on the battery energy decay data.

4. The method according to any one of claims 1 to 3, characterized in that After the target power replenishment waiting time has elapsed, the target power battery is replenished with power, including: Sending a power replenishment request based on the target power replenishment waiting time; Receiving power replenishment request feedback information corresponding to the power replenishment request; When the power replenishment request feedback information indicates that power replenishment is allowed, the target power battery is powered according to the target power replenishment waiting time.

5. The method according to claim 4, characterized in that The method further comprises: When the power replenishment request feedback information indicates that power replenishment is not allowed, returning to the operation step of correcting the power quantity of the target power battery; When the power supplement request feedback information indicates that power supplement is prohibited, the power supplement request is stopped from being sent.

6. A battery charging device, characterized in that: include: An acquisition module, used to acquire vehicle information of a target hybrid vehicle at a current moment, battery status information corresponding to a target power battery of the target hybrid vehicle, and a sleep duration of the target hybrid vehicle; A first determination module is used to determine a vehicle startup required energy power curve corresponding to the vehicle information and a battery energy decay curve corresponding to the battery status information; a correction module, configured to correct the battery power of the target power battery and obtain a power correction result when the sleep time of the target hybrid electric vehicle exceeds a predetermined threshold; A second determination module is used to determine a target power replenishment waiting time of the target power battery based on the battery energy decay curve, the energy power curve required for vehicle startup and the power calibration result, wherein the target power replenishment waiting time is the waiting time required relative to the current moment; A charging module, used for charging the target power battery after the target charging waiting time has elapsed; Among them, the second determination module is further used to determine the initial power replenishment waiting time of the target power battery based on the battery energy decay curve, the energy power curve required for vehicle startup and the power correction result; obtain the anti-aging power replenishment waiting time corresponding to the target power battery; when the initial power replenishment waiting time is less than the anti-aging power replenishment waiting time, determine the initial power replenishment waiting time as the target power replenishment waiting time; when the initial power replenishment waiting time is greater than the anti-aging power replenishment waiting time, determine the anti-aging power replenishment waiting time as the target power replenishment waiting time.

7. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute the battery charging method according to any one of claims 1 to 5.

8. A computer device, characterized in that: include: Memory and processor, The memory stores a computer program; The processor is used to execute the computer program stored in the memory, and when the computer program is running, the processor executes the battery charging method according to any one of claims 1 to 5.

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