An optimization control method and terminal based on V2G function detection battery capacity

Abstract

The present invention discloses an optimization control method for detecting battery status based on a V2G function, comprising the steps of: controlling a photovoltaic storage charging and detection system to charge a vehicle battery to a first cutoff condition, discharge it to a second cutoff condition, and charge it to the first cutoff condition again in sequence; detecting peak and valley periods of electricity consumption, and if it is in a peak period, checking the vehicle battery status; if the vehicle battery is in a charging stage, preferentially controlling other vehicle batteries in a discharging stage to charge this vehicle battery; if the vehicle battery is in a discharging stage, preferentially controlling this vehicle battery to supply power to other vehicles with charging needs; otherwise, checking the vehicle battery status; if the vehicle battery is in a charging stage, preferentially controlling other vehicle batteries in a discharging stage to charge this vehicle battery; and if the vehicle battery is in a discharging state, preferentially controlling this vehicle battery to charge an energy storage module of the photovoltaic storage charging and detection system.

Description

[0001] This case is a divisional application based on the invention patent with application date of 2024-07-15, application number 202410940392.3, and name “An optimization control method and terminal for detecting battery status based on V2G function” as the parent case. Technical Field

[0002] The present invention relates to the field of energy storage, and in particular to an optimization control method and terminal for detecting battery capacity based on a V2G function. Background Art

[0003] With the increasing popularity of electric vehicles and their increasing reach, the issue of electric vehicle safety accidents has arisen. Battery safety-related failures account for a high proportion, raising concerns about battery health in electric vehicles. Battery health is gaining increasing attention among electric vehicle users. Due to the characteristics of lithium iron phosphate batteries, the voltage rises rapidly during the initial charging phase, but the curve gradually flattens, entering a "plateau zone." Towards the end of the charge phase, the curve exhibits a straight upward trend. Leveraging these characteristics, combined with the V2G functionality of charging stations, the current capacity and health of electric vehicle batteries can be monitored throughout the charge and discharge cycle, while also releasing energy from the electric vehicle battery to the grid and energy storage batteries.

[0004] Current designs typically shallowly charge or discharge electric vehicles, leaving the charging curve in a "plateau zone" most of the time. This charging and discharging pattern doesn't accurately determine battery capacity and health. Furthermore, older solutions often use unidirectional DC charging stations for single-charge charging, lacking effective energy management measures for battery discharge, resulting in energy waste and inefficient power utilization. Summary of the Invention

[0005] The technical problem to be solved by the present invention is to provide an optimization control method and terminal for detecting battery status based on V2G function, so as to solve the problem of power waste in the process of detecting battery status.

[0006] In order to solve the above technical problems, the technical solution adopted by the present invention is:

[0007] An optimization control method for detecting battery status based on V2G function includes the following steps:

[0008] S1. Controlling the solar battery charging and testing system to sequentially charge the vehicle battery to a first cutoff condition, discharge it to a second cutoff condition, and charge it again to the first cutoff condition, and performing battery status testing during the battery charging and discharging process;

[0009] S2. During the execution of step S1, detect the peak and valley periods of electricity consumption. If it is during the peak period, implement step S3; otherwise, implement step S4;

[0010] S3. Check the vehicle battery status. If the vehicle battery is in the charging stage, prioritize controlling other vehicle batteries in the discharging stage to charge this vehicle battery; if the vehicle battery is in the discharging stage, prioritize controlling this vehicle battery to supply power to other vehicles that need charging;

[0011] S4. Check the status of the vehicle battery. If the vehicle battery is in the charging stage, prioritize controlling other vehicle batteries in the discharging stage to charge this vehicle battery; if the vehicle battery is in the discharging state, prioritize controlling this vehicle battery to charge the energy storage module of the solar storage charging and inspection system.

[0012] In order to solve the above technical problems, another technical solution adopted by the present invention is:

[0013] An optimization control terminal for detecting battery status based on a V2G function, characterized by comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor performs the following steps when executing the computer program:

[0014] S1. Controlling the solar battery charging and testing system to sequentially charge the vehicle battery to a first cutoff condition, discharge it to a second cutoff condition, and charge it again to the first cutoff condition, and performing battery status testing during the battery charging and discharging process;

[0015] S2. During the execution of step S1, detect the peak and valley periods of electricity consumption. If it is during the peak period, implement step S3; otherwise, implement step S4;

[0016] S3. Check the vehicle battery status. If the vehicle battery is in the charging stage, prioritize controlling other vehicle batteries in the discharging stage to charge this vehicle battery; if the vehicle battery is in the discharging stage, prioritize controlling this vehicle battery to supply power to other vehicles that need charging;

[0017] S4. Check the status of the vehicle battery. If the vehicle battery is in the charging stage, prioritize controlling other vehicle batteries in the discharging stage to charge this vehicle battery; if the vehicle battery is in the discharging state, prioritize controlling this vehicle battery to charge the energy storage module of the solar storage charging and inspection system.

[0018] The beneficial effects of the present invention include at least: providing an optimization control method for detecting battery status based on the V2G function, and in the process of detecting the battery status of the vehicle using the V2G function of the charging pile, taking into account the peak and valley periods of electricity consumption, when in the peak period, giving priority to supplying the power input or output of the battery of the detected vehicle to other vehicles charging or discharging at the photovoltaic charging and testing station during the same period, reducing dependence on the external power grid or energy storage module, thereby saving electricity costs; when in the valley or flat period, giving priority to using the battery of the vehicle being discharged during the same period to charge the battery of the detected vehicle, absorbing the power discharged by the batteries of other vehicles, without the need to use energy storage batteries, avoiding power scheduling chaos; or using the battery of the detected vehicle in the discharging stage to give priority to powering the energy storage module, ensuring that the energy storage module is quickly fully charged during the valley or flat period, thereby ensuring that the energy storage module can be put into use during the peak period, thereby maximizing benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 This is a flow chart of an optimization control method for detecting battery status based on a V2G function in an embodiment of the present invention;

[0020] Figure 2 This is an architectural diagram of a photovoltaic storage and charging inspection station using an optimized control method for detecting battery status based on a V2G function in an embodiment of the present invention;

[0021] Figure 3 Schematic diagram of an optimization control terminal for detecting battery status based on a V2G function in an embodiment of the present invention;

[0022] Figure 4 This is a specific flow chart of an optimization control method for detecting battery status based on a V2G function in an embodiment of the present invention;

[0023] Description of labels:

[0024] 1. An optimized control terminal for detecting battery status based on V2G function; 2. Memory; 3. Processor. DETAILED DESCRIPTION

[0025] To illustrate the technical content, achieved objectives and effects of the present invention in detail, the following description is given in conjunction with the embodiments and accompanying drawings.

[0026] Please refer to Figure 1 , an optimization control method for detecting battery status based on V2G function, comprising the steps of:

[0027] S1. Controlling the solar battery charging and testing system to sequentially charge the vehicle battery to a first cutoff condition, discharge it to a second cutoff condition, and charge it again to the first cutoff condition, and performing battery status testing during the battery charging and discharging process;

[0028] S2. During the execution of step S1, detect the peak and valley periods of electricity consumption. If it is during the peak period, implement step S3; otherwise, implement step S4;

[0029] S3. Check the vehicle battery status. If the vehicle battery is in the charging stage, prioritize controlling other vehicle batteries in the discharging stage to charge this vehicle battery; if the vehicle battery is in the discharging stage, prioritize controlling this vehicle battery to supply power to other vehicles that need charging;

[0030] S4. Check the status of the vehicle battery. If the vehicle battery is in the charging stage, prioritize controlling other vehicle batteries in the discharging stage to charge this vehicle battery; if the vehicle battery is in the discharging state, prioritize controlling this vehicle battery to charge the energy storage module of the solar storage charging and inspection system.

[0031] It can be understood that V2G (Vehicle-to-Grid) is a technology that allows two-way energy interaction between electric vehicles and the power grid. Its core principle is to use the energy storage function of electric vehicles to transfer the electrical energy in the battery back to the power grid when needed, thereby achieving a two-way flow of energy. Specifically, V2G technology not only allows electric vehicles to draw electricity from the power grid for charging, but also releases excess electricity in the on-board battery back to the power grid during peak loads, helping to balance the power grid load. This two-way interactive capability makes electric vehicles not only a mobile device, but also a distributed energy storage unit that can be charged during low-power periods and discharged during peak power periods.

[0032] Specifically, in the above-mentioned power dispatching process, the terminal is used to control the entire system level, and cloud computing and data processing technology are used to centrally monitor, analyze data and remotely control a single site or multiple sites.

[0033] From the above description, it can be seen that the beneficial effects of the present invention are: in the process of using the V2G function of the charging pile to detect the battery status of the vehicle, considering the peak and valley periods of electricity consumption, when in the peak period, the power input or output of the battery of the detected vehicle is preferentially supplied to other vehicles charging or discharging at the photovoltaic charging and testing station during the same period, reducing dependence on the external power grid or energy storage module, thereby saving electricity costs; when in the valley or flat period, the battery of the vehicle being discharged in the same period is preferentially used to charge the battery of the detected vehicle, absorbing the power discharged by the batteries of other vehicles, without the need to use energy storage batteries, avoiding power scheduling chaos; or the battery of the detected vehicle being discharged is used to give priority to powering the energy storage module, ensuring that the energy storage module is quickly fully charged during the valley or flat period, thereby ensuring that the energy storage module can be put into use during the peak period to maximize benefits.

[0034] In an embodiment of the present invention, the battery status detection specifically includes the steps of:

[0035] Collecting electrical data of the vehicle battery during the charging and discharging process, and obtaining a charging curve and a discharging curve of the vehicle battery based on the electrical data;

[0036] The charging DC internal resistance and the discharging DC internal resistance are calculated according to the charging curve and the discharging curve, respectively, and the charging DC internal resistance and the discharging DC internal resistance are compared. If the ratio of the two exceeds a preset ratio, an alarm is issued.

[0037] From the above description, it can be seen that since the vehicle battery will continue to age and the internal resistance will continue to increase during use, the internal resistance safety of the vehicle battery is evaluated using the detection data of the vehicle battery status. The charging DC internal resistance and the discharging DC internal resistance are calculated based on the charging curve and discharge curve obtained by the detection. If the difference between the two exceeds the preset ratio, it is considered that a micro-short circuit or circuit aging has occurred inside the battery, and an alarm is issued to prompt the user to repair or replace the battery.

[0038] Specifically, the charging DC internal resistance or the discharging DC internal resistance is calculated according to the following formula:

[0039]

[0040] Among them, DCR t It is the charging DC internal resistance or the discharging DC internal resistance, which is determined by the vehicle battery stage;

[0041] U is the transmission voltage value when the vehicle battery SOC is 50%;

[0042] U′ is the transmission voltage value of the vehicle battery during initial charging or discharging, which is determined according to the stage of the vehicle battery;

[0043] I′ is the transmission current value of the vehicle battery during initial charging or discharging, which is determined according to the stage of the vehicle battery.

[0044] As can be seen from the above description, according to the state of the vehicle battery, the DC internal resistance in the charging or discharging state is calculated respectively, and the internal resistance state of the vehicle battery is accurately obtained.

[0045] Specifically, the vehicle battery is divided into two stages during the charging, discharging and recharging process:

[0046] The first stage: charge-discharge, first charge to the first cut-off condition, then discharge to the second cut-off condition, during the process, the total voltage U, current I and discharge time t are detected to obtain the discharge curve; the available discharge capacity C can be obtained by calculation. F ', while interacting with the vehicle's BMS, the system can also obtain the vehicle's actual initial discharge available capacity C F The discharge available capacity retention rate can be calculated by calculating the two data.

[0047] The second stage: discharge-charge, after the discharge is completed, it is charged again to the first cut-off condition. During the process, the total voltage U, current I and charging time t of the charging process are detected and the charging curve is obtained. The available charging capacity C can be calculated by the system. t At the same time, during the interaction with the vehicle's BMS, the system can also obtain the vehicle's actual initial available capacity C0. The two data can be calculated to obtain the charging available capacity retention rate.

[0048] The discharge available capacity retention rate calculated in the first stage and the charging available capacity retention rate calculated in the second stage can be used to obtain an accurate vehicle battery capacity. The battery capacity retention rate can also be used to evaluate the health status of the vehicle and measure the battery service life.

[0049] In an embodiment of the present invention, step S3 specifically includes the following steps:

[0050] S31, detecting the vehicle battery status. If the vehicle is in the charging stage, proceed to step S32; if the vehicle battery is in the discharging stage, proceed to step S33;

[0051] S32: Prioritize controlling other vehicle batteries in the discharge stage to charge this vehicle battery. If there is no vehicle battery in the discharge stage at this stage, prioritize controlling the energy storage module of the solar-storage-charging-inspection system to supply power to this vehicle battery.

[0052] S33. Prioritize controlling the battery of this vehicle to supply power to other vehicles that have charging needs. If there are no vehicles that have charging needs at this stage, prioritize controlling the battery of this vehicle to supply power to the external power grid.

[0053] From the above description, it can be seen that during peak power periods, the highest priority for charging or discharging the battery of the detected vehicle is the battery of other discharging vehicles or charging vehicles in the same period; when the detected vehicle needs to be charged but there is no vehicle battery in the discharging stage in the same period, the energy storage module in the photovoltaic charging and inspection system is preferentially controlled to supply power, so as to avoid excessive use of the external power grid (mains power) during this period and increase electricity costs; when the battery of the detected vehicle is in the discharging stage, but there is no vehicle with charging demand at this time, the discharged electricity will be transmitted to the external power grid to shave peaks and fill valleys to maximize benefits.

[0054] In an embodiment of the present invention, step S4 specifically includes the following steps:

[0055] S41, detecting the vehicle battery status. If the vehicle is in the charging stage, proceed to step S42; if the vehicle battery is in the discharging stage, proceed to step S43;

[0056] S42: Prioritize other vehicle batteries in the discharge stage to charge this vehicle battery. If there is no vehicle battery in the discharge stage at this stage, prioritize the external power grid to power this vehicle battery.

[0057] S43. Prioritize controlling the vehicle battery to charge the energy storage module of the photovoltaic storage charging and inspection system. If the energy storage module does not need to be charged at this stage, control the vehicle battery to supply power to other vehicle batteries or the external power grid.

[0058] From the above description, it can be seen that during the off-peak period, if the detected vehicle is in the charging stage, priority will be given to absorbing the vehicle batteries that are discharging during the same period (the energy storage module is fully charged at this time) to avoid power scheduling chaos. When there are no discharging vehicles during this period, the external power grid will be controlled to meet the vehicle charging needs. The purpose is to first ensure that the energy storage module of the photovoltaic storage and charging inspection station is fully charged at this time, so as to ensure that the energy storage module has sufficient power during the subsequent peak power period; if the detected vehicle is in the discharging stage, the principle of ensuring that the energy storage module is fully charged is used, and power is provided to the energy storage module first. If the energy storage module is fully charged at this time, power will be provided to other vehicle batteries or the external power grid.

[0059] An optimization control terminal for detecting battery status based on a V2G function includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of an optimization control method for detecting battery status based on a V2G function are completed.

[0060] From the above description, it can be seen that an execution carrier of an optimization control method for detecting battery status based on a V2G function is provided. When executing the above method, in the process of detecting the battery status of a vehicle using the V2G function of a charging pile, peak and valley periods of electricity consumption are taken into consideration. When in the peak period, the power input or output from the battery of the detected vehicle is preferentially supplied to other vehicles charging or discharging at the photovoltaic charging and inspection station during the same period, thereby reducing dependence on the external power grid or energy storage module, thereby saving electricity costs; when in the valley or flat period, the battery of the vehicle being discharged during the same period is preferentially used to charge the battery of the detected vehicle, absorbing the power discharged by the batteries of other vehicles, without the need to use energy storage batteries, thereby avoiding power scheduling chaos; or the battery of the detected vehicle being discharged is used to preferentially power the energy storage module, thereby ensuring that the energy storage module is quickly fully charged during the valley or flat period, thereby ensuring that the energy storage module can be put into use during the peak period, thereby maximizing benefits.

[0061] In an embodiment of the present invention, an optimization control method and terminal for detecting battery status based on a V2G function are provided, which are mainly used to optimize the control process of the vehicle battery for precision detection. The following is a detailed description of the method and terminal in conjunction with an embodiment:

[0062] Please refer to Figures 1 to 4, embodiment 1 of the present invention is:

[0063] An optimization control method for detecting battery status based on V2G function includes the following steps:

[0064] S1. Controlling the solar storage charging and testing system to sequentially charge the vehicle battery to a first cutoff condition, discharge it to a second cutoff condition, and charge it again to the first cutoff condition, and performing battery status testing during the battery charging and discharging process;

[0065] S2, detect the peak and valley periods of electricity consumption. If it is during the peak period, implement step S3; otherwise, implement step S4;

[0066] S3. Check the vehicle battery status. If the vehicle battery is in the charging stage, it will prioritize controlling other vehicle batteries in the discharging stage to charge this vehicle battery. If the vehicle battery is in the discharging stage, it will prioritize controlling this vehicle battery to supply power to other vehicles that need charging. During peak power periods, the power input or output of the inspected vehicle battery will be preferentially supplied to other vehicles charging or discharging at the solar-storage charging and inspection station during the same period, reducing dependence on the external power grid or energy storage modules, thereby saving electricity costs.

[0067] S4. Check the status of the vehicle battery. If the vehicle battery is in the charging stage, it will give priority to controlling other vehicle batteries in the discharging stage to charge this vehicle battery. If the vehicle battery is in the discharging state, it will give priority to controlling this vehicle battery to charge the energy storage module of the photovoltaic charging and inspection system. When in the off-peak or normal power period, the vehicle battery that is discharging in the same period will be used to charge the vehicle battery being inspected, absorbing the power discharged by other vehicle batteries, without the need to use energy storage batteries, thus avoiding power scheduling chaos. Alternatively, the vehicle battery being inspected in the discharging stage will be used to give priority to powering the energy storage module, ensuring that the energy storage module is quickly fully charged during the off-peak or normal power period, thereby ensuring that the energy storage module can be put into use during the peak power period to maximize efficiency.

[0068] Specifically, during power dispatch, a DC / DC module regulates voltage between vehicle batteries. An AC / DC module switches between AC and DC between the vehicle batteries and the external grid, ensuring stable power dispatch. The first cutoff condition is for charging, and the second cutoff condition is for discharging. The specific setpoints are determined based on actual application scenarios.

[0069] The second embodiment of the present invention is:

[0070] Based on the first embodiment, step S3 specifically includes the following steps:

[0071] S31, detecting the vehicle battery status. If the vehicle is in the charging stage, proceed to step S32; if the vehicle battery is in the discharging stage, proceed to step S33;

[0072] S32: Prioritize controlling other vehicle batteries in the discharge stage to charge this vehicle battery. If there is no vehicle battery in the discharge stage at this stage, prioritize controlling the energy storage module of the solar-storage-charging-inspection system to supply power to this vehicle battery.

[0073] S33. Prioritize controlling the battery of this vehicle to supply power to other vehicles that have charging needs. If there are no vehicles that have charging needs at this stage, prioritize controlling the battery of this vehicle to supply power to the external power grid.

[0074] That is, during peak power periods, the charging or discharging priority of the battery of the vehicle being tested is all given to other discharging vehicle batteries or charging vehicle batteries in the same period; when the vehicle being tested needs to be charged but there are no vehicle batteries in the discharging stage in the same period, the energy storage module in the photovoltaic charging and testing system is preferentially controlled to supply power, so as to avoid excessive use of the external power grid (mains electricity) during this period and increase electricity costs; when the battery of the vehicle being tested is in the discharging stage, but there are no vehicles with charging needs at this time, the discharged electricity will be transmitted to the external power grid to shave peaks and fill valleys to maximize benefits.

[0075] Step S4 specifically includes the following steps:

[0076] S41, detecting the vehicle battery status. If the vehicle is in the charging stage, proceed to step S42; if the vehicle battery is in the discharging stage, proceed to step S43;

[0077] S42: Prioritize other vehicle batteries in the discharge stage to charge this vehicle battery. If there is no vehicle battery in the discharge stage at this stage, prioritize the external power grid to power this vehicle battery.

[0078] S43. Prioritize controlling the vehicle battery to charge the energy storage module of the photovoltaic storage charging and inspection system. If the energy storage module does not need to be charged at this stage, control the vehicle battery to supply power to other vehicle batteries or the external power grid.

[0079] That is, during the off-peak period, if the detected vehicle is in the charging stage, priority will be given to absorbing the vehicle batteries discharging in the same period (the energy storage module is fully charged at this time) to avoid power scheduling chaos. If there is no discharging vehicle in this period, the external power grid will be controlled to meet the vehicle charging needs. The purpose is to first ensure that the energy storage module of the photovoltaic storage and charging inspection station is fully charged at this time, so as to ensure that the energy storage module has sufficient power during the subsequent peak period; if the detected vehicle is in the discharging stage, the energy storage module will be given priority to ensure that it is fully charged. If the energy storage module is fully charged at this time, the power will be provided to other vehicle batteries or the external power grid.

[0080] The third embodiment of the present invention is:

[0081] Based on the first embodiment, the vehicle battery is specifically divided into two stages during the charging, discharging and recharging process:

[0082] The first stage: charge-discharge, first charge to the first cut-off condition, then discharge to the second cut-off condition, during the process, the total voltage U, current I and discharge time t are detected to obtain the discharge curve; the available discharge capacity C can be obtained by calculation. F ', while interacting with the vehicle's BMS, the system can also obtain the vehicle's actual initial discharge available capacity C F The discharge available capacity retention rate can be calculated by calculating the two data.

[0083] The second stage: discharge-charge, after the discharge is completed, it is charged again to the first cut-off condition. During the process, the total voltage U, current I and charging time t of the charging process are detected and the charging curve is obtained. The available charging capacity C can be calculated by the system. t At the same time, during the interaction with the vehicle's BMS, the system can also obtain the vehicle's actual initial available capacity C0. The two data can be calculated to obtain the charging available capacity retention rate.

[0084] The battery status detection specifically includes the following steps:

[0085] Collecting electrical data of the vehicle battery during the charging and discharging process, and obtaining a charging curve and a discharging curve of the vehicle battery based on the electrical data;

[0086] The charging DC internal resistance and the discharging DC internal resistance are calculated based on the charging curve and the discharging curve, and are compared with each other. If the ratio of the charging DC internal resistance and the discharging DC internal resistance exceeds a preset ratio, an alarm is issued.

[0087] Since vehicle batteries will continue to age and their internal resistance will continue to increase during use, the vehicle battery status detection data is used to evaluate the internal resistance safety of the vehicle battery. The charging DC internal resistance and the discharging DC internal resistance are calculated based on the charging curve and discharging curve obtained from the detection. If the difference between the two exceeds the preset ratio, it is considered that a micro-short circuit or circuit aging has occurred inside the battery, and an alarm will be issued to prompt the user to repair or replace the battery.

[0088] Specifically, the charging DC internal resistance or the discharging DC internal resistance is calculated according to the following formula:

[0089]

[0090] Among them, DCR t It is the charging DC internal resistance or the discharging DC internal resistance, which is determined by the vehicle battery stage;

[0091] U is the transmission voltage value when the vehicle battery SOC is 50%;

[0092] U′ is the transmission voltage value of the vehicle battery during initial charging or discharging, which is determined according to the stage of the vehicle battery;

[0093] I′ is the transmission current value of the vehicle battery during initial charging or discharging, which is determined according to the stage of the vehicle battery.

[0094] The fourth embodiment of the present invention is:

[0095] On the basis of Example 3, an intelligent prediction and dynamic optimization control strategy is added. The specific steps are as follows:

[0096] S1: Control the solar storage charging and testing system to charge the vehicle battery to a first cutoff condition, discharge it to a second cutoff condition, and charge it again to the first cutoff condition in sequence, and perform battery status detection during the battery charging and discharging process.

[0097] S2: Detect the peak and valley periods of electricity consumption. If it is during the peak period, implement step S3; otherwise, implement step S4.

[0098] S3: Check the vehicle battery status. If the vehicle battery is in the charging stage, it will give priority to controlling other vehicle batteries in the discharging stage to charge this vehicle battery. If the vehicle battery is in the discharging stage, it will give priority to controlling this vehicle battery to supply power to other vehicles with charging needs. When in peak power period, the power input or output of the detected vehicle battery will be preferentially supplied to other vehicles charging or discharging at the solar storage charging and inspection station during the same period, reducing dependence on the external power grid or energy storage module, thereby saving electricity costs.

[0099] S4: Check the vehicle battery status. If the vehicle battery is in the charging stage, it will give priority to controlling other vehicle batteries in the discharging stage to charge this vehicle battery; if the vehicle battery is in the discharging state, it will give priority to controlling this vehicle battery to charge the energy storage module of the photovoltaic charging and inspection system. When in valley or normal power periods, the vehicle batteries that are discharging at the same time will be used to charge the vehicle battery being inspected, absorbing the power discharged by other vehicle batteries, without the need to use energy storage batteries, thus avoiding power scheduling chaos; or the vehicle battery being inspected in the discharging stage will be used to give priority to powering the energy storage module, ensuring that the energy storage module is quickly fully charged during valley or normal power periods, thereby ensuring that the energy storage module can be put into use during peak power periods to maximize benefits.

[0100] S5: Intelligent prediction and dynamic optimization control

[0101] S5.1: Historical and real-time data collection

[0102] Collect and store historical charging and discharging data of the vehicle battery, ambient temperature, number of charges, mileage, etc. Monitor and record the voltage, current, temperature and other data of the vehicle battery in real time.

[0103] S5.2: Intelligent prediction model training

[0104] Use machine learning algorithms (such as neural networks and random forests) to train intelligent prediction models to predict the vehicle battery's state of health, remaining life, and optimal charge and discharge times. Dynamically update the prediction model, combining historical and real-time data to improve prediction accuracy.

[0105] S5.3: Dynamic Optimization Control Strategy

[0106] Based on the results of the intelligent prediction model, the charging and discharging strategies are dynamically adjusted to optimize battery life and system efficiency. Charge and discharge cutoff conditions are dynamically adjusted to reduce battery aging. Based on the battery's health status and remaining life, the charging and discharging cycles and times are optimized to avoid overcharging and discharging.

[0107] S5.4: Adaptive charging management

[0108] During the charging process, the charging current and voltage are adaptively adjusted based on real-time data and the results of the intelligent prediction model to maximize battery life. Charging parameters are optimized based on external factors such as ambient temperature to ensure optimal battery performance in different environments.

[0109] Please refer to Figures 1 to 4 , the fifth embodiment of the present invention is:

[0110] A V2G-based battery status optimization control terminal 1 includes a memory 2, a processor 3, and a computer program stored in the memory 2 and executable on the processor 3. When the processor executes the computer program, the steps of any one of the V2G-based battery status optimization control methods described in Embodiments 1 to 4 above are performed.

[0111] Specifically, the charging pile control module can communicate with the electric vehicle and can read the remaining battery capacity (SOC) of the electric vehicle in real time. The entire system is designed with a host computer and control layer, and management layer devices to control and communicate, and grasp the status of the equipment in the system.

[0112] The entire system incorporates hierarchical control, primarily comprising a control layer and a management layer, enabling more efficient management and utilization of all data and energy. Specifically, the control layer effectively utilizes energy, releasing it to power the grid, energy storage batteries, and charge other vehicles. During peak hours, energy storage devices can also be used to charge electric vehicles. The management layer, leveraging cloud computing and data processing technologies, enables centralized monitoring, data analysis, and remote control of single or multiple sites. Data processing enables the prediction and planning of equipment maintenance cycles, facilitating maintenance work and enabling coordinated human resource planning.

[0113] When the vehicle battery SOC is lower than 50%, the user is provided with an option to choose whether to enter the battery health deep detection mode. If the deep detection is selected, the electric vehicle can receive instructions and control the discharge of the electric vehicle battery to charge and discharge according to the steps in the above method.

[0114] The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent transformations made using the contents of the present invention's description and drawings, or directly or indirectly applied in related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. An optimization control method for detecting battery capacity based on V2G function, characterized by: Including steps: S1. Controlling the solar battery charging and testing system to sequentially charge the vehicle battery to a first cutoff condition, discharge it to a second cutoff condition, and charge it again to the first cutoff condition, and performing battery status testing during the battery charging and discharging process; S2. During the execution of step S1, detect the peak and valley periods of electricity consumption. If it is during the peak period, implement step S3; otherwise, implement step S4; S3. Check the vehicle battery status. If the vehicle battery is in the charging stage, prioritize controlling other vehicle batteries in the discharging stage to charge this vehicle battery; if the vehicle battery is in the discharging stage, prioritize controlling this vehicle battery to supply power to other vehicles that need charging; S4. Check the vehicle battery status. If the vehicle battery is in the charging stage, prioritize controlling other vehicle batteries in the discharging stage to charge this vehicle battery; if the vehicle battery is in the discharging state, prioritize controlling this vehicle battery to charge the energy storage module of the solar storage charging and inspection system; The battery status detection specifically includes the following steps: Collecting electrical data of the vehicle battery during the charging and discharging process, and obtaining a charging curve and a discharging curve of the vehicle battery based on the electrical data; Calculating a charging DC internal resistance and a discharging DC internal resistance according to the charging curve and the discharging curve, respectively, and comparing the charging DC internal resistance and the discharging DC internal resistance. If a ratio of the two exceeds a preset ratio, an alarm is issued; The charging DC internal resistance or the discharging DC internal resistance is calculated according to the following formula: Among them, DCR t It is the charging DC internal resistance or the discharging DC internal resistance, which is determined by the vehicle battery stage; U is the transmission voltage value when the vehicle battery SOC is 50%; U′ is the transmission voltage value of the vehicle battery during initial charging or discharging, which is determined according to the stage of the vehicle battery; I′ is the transmission current value of the vehicle battery during initial charging or discharging, which is determined according to the stage of the vehicle battery; The control of the solar storage charging and testing system sequentially charging the vehicle battery to a first cut-off condition, discharging to a second cut-off condition, and charging to the first cut-off condition again specifically includes the following steps: The first stage: charge-discharge, first charge to the first cut-off condition, then discharge to the second cut-off condition, during the process, the total voltage U, current I and discharge time t are detected to obtain the discharge curve; the available discharge capacity C can be obtained by calculation. F ', while interacting with the vehicle's BMS, the system can also obtain the vehicle's actual initial discharge available capacity C F , the discharge available capacity retention rate can be calculated by calculating the two data; The second stage: discharge-charge. After the discharge is completed, the battery is charged again to the first cut-off condition. During the process, the total voltage U, current I and charging time t are detected to obtain the charging curve. The available charging capacity C can be obtained through system calculation. t At the same time, during the interaction with the vehicle's BMS, the system can also obtain the vehicle's actual initial available capacity C0. The two data can be calculated to obtain the charging available capacity retention rate.

2. The optimization control method for detecting battery capacity based on V2G function according to claim 1, characterized in that: The step S3 specifically includes the following steps: S31, detecting the vehicle battery status. If the vehicle is in the charging stage, proceed to step S32; if the vehicle battery is in the discharging stage, proceed to step S33; S32: Prioritize controlling other vehicle batteries in the discharge stage to charge this vehicle battery. If there is no vehicle battery in the discharge stage at this stage, prioritize controlling the energy storage module of the solar-storage-charging-inspection system to supply power to this vehicle battery. S33. Prioritize controlling the battery of this vehicle to supply power to other vehicles that have charging needs. If there are no vehicles that have charging needs at this stage, prioritize controlling the battery of this vehicle to supply power to the external power grid.

3. The optimization control method based on V2G function detection of battery capacity according to claim 1, characterized in that: The step S4 specifically includes the following steps: S41, detecting the vehicle battery status. If the vehicle is in the charging stage, proceed to step S42; if the vehicle battery is in the discharging stage, proceed to step S43; S42: Prioritize other vehicle batteries in the discharge stage to charge this vehicle battery. If there is no vehicle battery in the discharge stage at this stage, prioritize the external power grid to power this vehicle battery. S43. Prioritize controlling the vehicle battery to charge the energy storage module of the photovoltaic storage charging and inspection system. If the energy storage module does not need to be charged at this stage, control the vehicle battery to supply power to other vehicle batteries or the external power grid.

4. The optimization control method for detecting battery capacity based on V2G function according to claim 1, characterized in that: The first cut-off condition is a charge cut-off condition, and the second cut-off condition is a discharge cut-off condition.

5. An optimization control terminal for detecting battery capacity based on V2G function, characterized by: The invention comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the following steps are performed: S1. Controlling the solar battery charging and testing system to sequentially charge the vehicle battery to a first cutoff condition, discharge it to a second cutoff condition, and charge it again to the first cutoff condition, and performing battery status testing during the battery charging and discharging process; S2. During the execution of step S1, detect the peak and valley periods of electricity consumption. If it is during the peak period, implement step S3; otherwise, implement step S4; S3. Check the vehicle battery status. If the vehicle battery is in the charging stage, prioritize controlling other vehicle batteries in the discharging stage to charge this vehicle battery; if the vehicle battery is in the discharging stage, prioritize controlling this vehicle battery to supply power to other vehicles that need charging; S4. Check the vehicle battery status. If the vehicle battery is in the charging stage, prioritize controlling other vehicle batteries in the discharging stage to charge this vehicle battery; if the vehicle battery is in the discharging state, prioritize controlling this vehicle battery to charge the energy storage module of the solar storage charging and inspection system; The battery status detection specifically includes the following steps: Collecting electrical data of the vehicle battery during the charging and discharging process, and obtaining a charging curve and a discharging curve of the vehicle battery based on the electrical data; Calculating a charging DC internal resistance and a discharging DC internal resistance according to the charging curve and the discharging curve, respectively, and comparing the charging DC internal resistance and the discharging DC internal resistance. If a ratio of the two exceeds a preset ratio, an alarm is issued; The charging DC internal resistance or the discharging DC internal resistance is calculated according to the following formula: Among them, DCR t It is the charging DC internal resistance or the discharging DC internal resistance, which is determined by the vehicle battery stage; U is the transmission voltage value when the vehicle battery SOC is 50%; U′ is the transmission voltage value of the vehicle battery during initial charging or discharging, which is determined according to the stage of the vehicle battery; I′ is the transmission current value of the vehicle battery during initial charging or discharging, which is determined according to the stage of the vehicle battery; The control of the solar storage charging and testing system sequentially charging the vehicle battery to a first cut-off condition, discharging to a second cut-off condition, and charging to the first cut-off condition again specifically includes the following steps: The first stage: charge-discharge, first charge to the first cut-off condition, then discharge to the second cut-off condition, during the process, the total voltage U, current I and discharge time t are detected to obtain the discharge curve; the available discharge capacity C can be obtained by calculation. F ', while interacting with the vehicle's BMS, the system can also obtain the vehicle's actual initial discharge available capacity C F , the discharge available capacity retention rate can be calculated by calculating the two data; The second stage: discharge-charge. After the discharge is completed, the battery is charged again to the first cut-off condition. During the process, the total voltage U, current I and charging time t are detected to obtain the charging curve. The available charging capacity C can be obtained through system calculation. t At the same time, during the interaction with the vehicle's BMS, the system can also obtain the vehicle's actual initial available capacity C0. The two data can be calculated to obtain the charging available capacity retention rate.

6. The optimization control terminal for detecting battery capacity based on V2G function according to claim 5, characterized in that: The step S3 specifically includes the following steps: S31, detecting the vehicle battery status. If the vehicle is in the charging stage, proceed to step S32; if the vehicle battery is in the discharging stage, proceed to step S33; S32: Prioritize controlling other vehicle batteries in the discharge stage to charge this vehicle battery. If there is no vehicle battery in the discharge stage at this stage, prioritize controlling the energy storage module of the solar-storage-charging-inspection system to supply power to this vehicle battery. S33. Prioritize controlling the battery of this vehicle to supply power to other vehicles that have charging needs. If there are no vehicles that have charging needs at this stage, prioritize controlling the battery of this vehicle to supply power to the external power grid.

7. The optimization control terminal for detecting battery capacity based on V2G function according to claim 5, characterized in that: The step S4 specifically includes the following steps: S41, detecting the vehicle battery status. If the vehicle is in the charging stage, proceed to step S42; if the vehicle battery is in the discharging stage, proceed to step S43; S42: Prioritize other vehicle batteries in the discharge stage to charge this vehicle battery. If there is no vehicle battery in the discharge stage at this stage, prioritize the external power grid to power this vehicle battery. S43. Prioritize controlling the vehicle battery to charge the energy storage module of the photovoltaic storage charging and inspection system. If the energy storage module does not need to be charged at this stage, control the vehicle battery to supply power to other vehicle batteries or the external power grid.

8. The optimization control terminal for detecting battery capacity based on V2G function according to claim 5, characterized in that: The first cut-off condition is a charge cut-off condition, and the second cut-off condition is a discharge cut-off condition.

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