Electric vehicle charging regulation and control method, equipment and medium

Abstract

The embodiment of the invention discloses an electric vehicle charging regulation and control method, equipment and a medium, belongs to the technical field of vehicle charging, and solves the problems that the temperature and the electric quantity are difficult to consider at the same time and the reliability of an electric vehicle is reduced under the unfixed interval charging standby working condition of the electric vehicle in a cold region. Comprising the steps that when it is detected that a vehicle enters a charging state, first reference duration corresponding to charging of a vehicle battery to a preset charging state is determined based on current charging current, and second reference duration corresponding to next vehicle using is determined based on obtained next vehicle using time; comparing the first reference duration with the second reference duration, and starting charging regulation and control based on a comparison result; under the condition that the vehicle battery state meets the preset error condition, the ratio of the first reference duration to the second reference duration is determined; and performing equal-proportion regulation and control on the current charging current based on the ratio, so that the next vehicle using time and the time of charging to the preset charging state meet a preset charging time condition.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of vehicle charging, in particular to an electric vehicle charging regulation method, device and medium. BACKGROUND

[0002] With the increasing emphasis on clean energy and sustainable development worldwide, pure electric vehicles are rapidly popularized in various commercial scenarios. In particular, pure electric mining trucks (hereinafter referred to as pure electric mining trucks) as key equipment for realizing green transportation in mining areas, their technical development and reliability are crucial.

[0003] When pure electric mining trucks operate in cold regions, the mining area usually adopts a continuous operation mode with multiple shifts. However, the interval time between two shifts of the vehicle is often not fixed, which may be several hours to more than ten hours. Under this operating scenario, after the end of the first shift operation, the vehicle goes to charge. After the end of the vehicle charging, the battery generally has two performances: if the BMS (Battery Management System) is in sleep mode, the battery cannot be kept warm / heated, resulting in low battery temperature at the beginning of the second shift operation, and limited vehicle power. If the BMS is not in sleep mode, the battery automatically activates the warm / heating function when the battery temperature is below the threshold. Although the battery temperature is suitable for direct use at the beginning of the second shift operation, the warm / heating function consumes the battery's electricity, and the interval time is uncontrollable, resulting in uncontrollable battery SOC (State of Charge) at the beginning of the second shift operation, thereby increasing the vehicle operation. Therefore, the existing technology has the dilemma of difficult to balance temperature and power when dealing with the charging standby working condition of electric vehicles in cold regions with non-fixed intervals, which seriously restricts the reliability of electric vehicles. SUMMARY

[0004] The embodiments of the present application provide an electric vehicle charging regulation method, device and medium, which are used to solve the technical problem that the existing technology has the dilemma of difficult to balance temperature and power when dealing with the charging standby working condition of electric vehicles in cold regions with non-fixed intervals, which seriously restricts the reliability of electric vehicles.

[0005] The embodiments of the present application adopt the following technical solutions: The embodiment of the application provides a kind of electric vehicle charging regulation method.The method comprises: when detecting that vehicle enters charging state, based on current charging current, determine that the first reference duration corresponding to the preset charging state of vehicle battery charging, and based on the next time of use obtained, determine the second reference duration corresponding to the distance of next use;First reference duration and second reference duration are compared, and charging regulation is started based on comparison result;In the case where vehicle battery state meets preset error condition, the ratio between first reference duration and second reference duration is determined;Current charging current is proportionally regulated based on the ratio, so that the next time of use and the time of charging to preset charging state meet preset charging time condition.

[0006] In an implementation manner of the application, first reference duration and second reference duration are compared, and charging regulation is started based on comparison result, specifically comprising: if first reference duration is not greater than second reference duration, start charging regulation;Otherwise, end current charging regulation task.

[0007] In an implementation manner of the application, after starting charging regulation based on comparison result, the method further comprises: determining the time difference between current time and the time of last full charging calibration;In the case where the time difference is greater than preset duration threshold, start full charging calibration;Otherwise, determine that vehicle battery state meets preset error condition.

[0008] In an implementation manner of the application, after starting full charging calibration, the method further comprises: based on current charging current, determine the third reference duration corresponding to the full charging state of vehicle battery, and determine the fourth reference duration corresponding to the power consumption from full charging state to preset charging state;If second reference duration is greater than the sum of third reference duration and fourth reference duration, charge vehicle battery to full charging state based on the time difference between second reference duration and fourth reference duration;Based on fourth reference duration, vehicle battery is further powered from full charging state to preset charging state to complete full charging calibration.

[0009] In an implementation manner of the application, the fourth reference duration corresponding to the power consumption from full charging state to preset charging state is determined, specifically comprising: based on formula: ; Determine fourth reference duration;Wherein T4 is fourth reference duration, and preset SOC is preset charging state.

[0010] In an implementation manner of the application, current charging current is proportionally regulated based on the ratio, specifically comprising: based on current regulation formula: I 调 =(T1 / T2)I1+I2; Get regulated charging current;Wherein I 调The regulated charging current is I1, the battery system demand charging current before adjustment is I1, the heating current is I2, the first reference time length is T1, and the second reference time length is T2.

[0011] In an implementation manner of the present application, after the current charging current is proportionally regulated based on the ratio, the method further comprises: after receiving a next use time change instruction, obtaining a new next use time, and determining a new second reference time length based on the new next use time; obtaining a multi-dimensional state parameter of the vehicle battery, determining a priority strategy of the current charging process based on the real-time environment temperature and the multi-dimensional state parameter, and through a preset multi-factor dynamic weight matrix; the priority strategy is related to at least one of the charging speed, the battery life protection, and the temperature maintenance demand; generating a corresponding charging regulation parameter set according to the proportionally regulated charging current, the priority strategy, and the second reference time length; wherein the charging regulation parameter set at least includes one of a target charging current curve and a heating control mode; based on the charging regulation parameter set, dynamically planning a new charging regulation parameter within the new second reference time length, so that the vehicle battery meets a preset charging time condition in which the new next use time and the time of charging to the preset charging state.

[0012] In an implementation manner of the present application, the priority strategy of the current charging process is determined based on the real-time environment temperature and the multi-dimensional state parameter, through a preset multi-factor dynamic weight matrix, and specifically comprises: mapping the multi-dimensional state parameter and the real-time environment temperature to a preset scoring scale table respectively to obtain a quantized score corresponding to each parameter; inputting the quantized score into the preset multi-factor dynamic weight matrix; wherein the weight matrix includes a plurality of charging optimization dimensions, and also includes a weight of an optimization target corresponding to each charging optimization dimension; based on the dynamically allocated weight, a weighted score corresponding to each optimization target is determined, and a difference between the highest score and the second highest score is determined; if the difference is less than a preset strategy selection threshold, a mixed priority strategy is generated; wherein the mixed priority strategy includes optimization targets respectively dominated in different stages of the charging process; if the difference is not less than the preset strategy selection threshold, the optimization target with the highest weighted score is determined as the dominant priority strategy.

[0013] The embodiment of the application provides a kind of electric vehicle charging regulation device, comprising: at least one processor;And, with at least one processor communication connection's memory;Wherein, memory stores the instruction that can be executed by at least one processor, instruction is executed by at least one processor, to enable at least one processor can: when detecting that vehicle enters charging state, based on current charging current, determine that the first reference duration corresponding to the preset charging state of vehicle battery charging, and, based on the next time of use obtained, determine the second reference duration corresponding to the distance next time of use;First reference duration and second reference duration are compared, and charging regulation is started based on comparison result;In the case where vehicle battery state meets preset error condition, the ratio between first reference duration and second reference duration is determined;Current charging current is proportionally regulated based on the ratio, to make the next time of use and the time of charging to preset charging state meet preset charging time condition.

[0014] The embodiment of the application provides a kind of nonvolatile computer storage medium, stores computer executable instruction, computer executable instruction is set as: when detecting that vehicle enters charging state, based on current charging current, determine that the first reference duration corresponding to the preset charging state of vehicle battery charging, and, based on the next time of use obtained, determine the second reference duration corresponding to the distance next time of use;First reference duration and second reference duration are compared, and charging regulation is started based on comparison result;In the case where vehicle battery state meets preset error condition, the ratio between first reference duration and second reference duration is determined;Current charging current is proportionally regulated based on the ratio, to make the next time of use and the time of charging to preset charging state meet preset charging time condition.

[0015] The above at least one technical scheme adopted by the embodiment of the application can achieve the following beneficial effects: the embodiment of the application solves the problem of the interval of the two-shift system of the cold region pure electric vehicle by comparing and regulating the interval between the time of charging to preset battery state and the interval to next time of use. By proportionally adjusting the charging current according to the time interval, it is ensured that the battery reaches the preset battery state at the next time of use, which avoids the problem of low battery temperature and limited power caused by battery management system hibernation, and eliminates the uncontrollable battery charging state caused by battery management system not hibernating, so that the vehicle is in a stable operating state. By setting the next time of use, the embodiment of the application adjusts the charging current according to the time interval, so that the charging state and the battery temperature are suitable at the next time of use, and the customer experience is improved. Secondly, the embodiment of the application also automatically realizes whether full charging calibration is needed during charging, further improving the customer experience. BRIEF DESCRIPTION OF DRAWINGS In order to make the technical solutions in the embodiments of the present application or the prior art clearer, the accompanying drawings needed in the embodiments or prior art description will be briefly introduced below. Obviously, the accompanying drawings in the following description only aim to some embodiments described in the present application, and other drawings can be obtained by those skilled in the art without any creative effort. In the drawings: Figure 1 A flow chart of an electric vehicle charging regulation method provided by an embodiment of the present application; Figure 2 A logic diagram of an electric vehicle charging regulation provided by an embodiment of the present application; Figure 3 A structural diagram of an electric vehicle charging regulation device provided by an embodiment of the present application.

[0016] Reference signs: 200: electric vehicle charging regulation device, 201: processor, 202: memory. DETAILED DESCRIPTION

[0017] The embodiments of the present application provide an electric vehicle charging regulation method, device and medium.

[0018] In order to make those skilled in the art better understand the technical solutions in the present application, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the accompanying drawings. Obviously, the described embodiments are only some of the embodiments of the present application, not all. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without any creative effort should be within the scope of protection of the present application.

[0019] The technical solutions of the embodiments of the present application will be described in detail below with reference to the accompanying drawings.

[0020] Figure 1 A flow chart of an electric vehicle charging regulation method provided by an embodiment of the present application, as shown in Figure 1 The electric vehicle charging regulation method comprises the following steps: S101, when detecting that the vehicle enters a charging state, determining a first reference duration corresponding to charging the vehicle battery to a preset charging state based on the current charging current, and determining a second reference duration corresponding to the next vehicle use based on the obtained next vehicle use time.

[0021] In an implementation form of the present application, the connection state signal is checked with the BMS (Battery Management System) charging wake-up instruction, and after confirming that the vehicle enters a stable charging state, the BMS synchronously collects the current charging current real-time value, the current SOC (State of Charge) of the battery, and the preset charging state (80%-90%) parameters. Taking a pure electric mine truck as an example, because there are many heavy-load downhill working conditions in the operation process of the pure electric mine truck in the cold region, in order to ensure that the vehicle still has an electric braking function after charging is completed and improve the safety of heavy-load downhill, the cold mine generally requires that the charging state at the time of charging cutoff needs to be controlled between 80-90%.

[0022] At the same time, the next use time set by the user is called. It should be noted that the way in which the user sets the next use time in the embodiments of the present application can be a part with human-machine interaction function such as an instrument, a central control, etc., or a mobile phone APP, a remote platform, etc., and the embodiments of the present application do not limit this.

[0023] Further, the difference between the current battery remaining capacity and the preset charging state is extracted, and the first reference duration is determined in combination with the current charging current. In addition, the second reference duration corresponding to the next use of the vehicle is determined according to the difference between the current time and the next use time.

[0024] S102, compare the first reference duration with the second reference duration, and start the charging regulation based on the comparison result.

[0025] In an implementation form of the present application, if the first reference duration is not greater than the second reference duration, the charging regulation is started, otherwise, the current charging regulation task is ended.

[0026] Specifically, the battery management system compares the first reference duration corresponding to the charging of the vehicle battery to the preset charging state with the second reference duration corresponding to the next use of the vehicle, and if the first reference duration is not greater than the second reference duration, the subsequent charging current proportional adjustment, heat preservation strategy adaptation and other processes are started; if the first reference duration is greater than the second reference duration, it is determined that the core requirement of reaching the preset charging state at the time of use cannot be met at present, and the current charging regulation task is ended.

[0027] S103, in the case where the vehicle battery state meets the preset error condition, the ratio between the first reference duration and the second reference duration is determined.

[0028] In an implementation form of the present application, after starting the charging regulation based on the comparison result, it is determined that when the vehicle battery state meets the preset error condition, the ratio between the first reference duration and the second reference duration is determined. The time difference between the current time and the time of the last full calibration. If the time difference is greater than the preset time threshold, the full calibration is started. Otherwise, it is determined that the vehicle battery state meets the preset error condition.

[0029] The embodiments of the present application need to determine whether the vehicle needs to perform full calibration this time: taking a pure electric mine truck in cold regions as an example, because of the special working conditions of the mine, the battery charging cutoff SOC is not 100%, and long-term inability to fully charge will lead to more and more inaccurate SOC, that is, the accumulation of errors such as acquisition errors and calculation errors will become larger and larger, and inaccurate SOC will lead to single cell under-voltage / over-voltage failure, SOC jump, and other problems, which will seriously affect the vehicle safety, so it is necessary to regularly fully charge to calibrate SOC.

[0030] Specifically, the embodiments of the present application determine whether the vehicle needs to perform full calibration this time by calculating the time difference between the current time and the last full calibration. If the time difference exceeds the preset value, full calibration is needed. If the time difference does not exceed the preset value, full calibration is not needed.

[0031] It should be noted that for mine truck vehicles in cold regions, the time difference of full calibration is preferably set to 15 days, and users can adjust it according to actual conditions, which is not limited by the embodiments of the present application.

[0032] In one implementation of the present application, if full calibration is started, a third reference time length corresponding to charging the vehicle battery to a full charge state is determined based on the current charging current, and a fourth reference time length corresponding to discharging from the full charge state to a preset charge state is determined. If the second reference time length is greater than the sum of the third reference time length and the fourth reference time length, the vehicle battery is charged to the full charge state based on the time difference between the second reference time length and the fourth reference time length. Based on the fourth reference time length, the vehicle battery is discharged from the full charge state to the preset charge state to complete the full calibration.

[0033] Specifically, after the full calibration is started, the battery management system retrieves the current charging current value, combines the difference between the full charge state of the battery and the current remaining power, and determines the third reference time length required to charge the battery to the full charge state. Further, the difference between the preset charge state (80%-90% SOC) of the vehicle battery and the full charge state is determined, and the fourth reference time length from the full charge state to the preset charge state is determined.

[0034] The second reference time corresponding to the next use of the vehicle is called, and the second reference time is compared with the sum of the third reference time and the fourth reference time. If the second reference time is greater than the sum of the third reference time and the fourth reference time, the difference between the second reference time and the fourth reference time from the full charge state to the preset charge state is calculated, and the battery is charged to the full charge 100% state within the difference. After the full charge state is confirmed, the calibration discharge mode is switched to, and at this time, the battery is discharged from 100% to the preset SOC by using the fourth reference time. The full charge calibration is completed.

[0035] Secondly, the embodiment of the application is based on the following formula: The heating current = (single package rated voltage / single package heating film resistance) * branch number; The fourth reference time is determined; wherein, T4 is the fourth reference time, and the preset SOC is a preset charge state.

[0036] The difference between the second reference time and the fourth reference time from the full charge state to the preset charge state is calculated, and the battery is charged to the full charge 100% state within the difference, and the calculation process is: I 调 = {T3 / (T2-T4)}I3+I2; Wherein, I3 is the battery system demand current required to charge to 100%, that is, the basic charging current required for the battery to charge from the current remaining power to 100% SOC; T3 is the time length of the battery charging to 100% SOC based on I3 as the basic charging current; T2 is the second reference time; T4 is the fourth reference time; I2 is the heating current.

[0037] In an implementation manner of the application, if the second reference time is not greater than the sum of the third reference time and the fourth reference time, the full charge calibration is not performed this time, and the battery charging loop (BCL) charging current is adjusted in real time according to the ratio between the first reference time and the second reference time, so as to realize the purpose that the next use time and the time of charging to the preset charge state meet the preset charging time condition, and the process ends.

[0038] S104, the current charging current is proportionally adjusted based on the ratio, so that the next use time and the time of charging to the preset charge state meet the preset charging time condition.

[0039] In an implementation manner of the application, the BCL charging current = the battery system demand charging current + the heating current. Assuming that the battery system demand charging current before adjustment is I1, and the heating current is I2, the BCL charging current before adjustment = I1+I2, and the BCL charging current after adjustment is: I​调 = (T1 / T2) I1+I2; wherein, I 调 is the regulated charging current; I1 is the battery system demand charging current before adjustment; I2 is the heating current; T1 is the first reference time length; T2 is the second reference time length.

[0040] By adjusting the current, the next use time and the time of charging to the preset charging state can meet the preset charging time condition. The preset charging time condition can be that the vehicle is used just after charging to the preset SOC, or that the vehicle is used within a certain reasonable error range of the time of charging to the preset SOC.

[0041] In an implementation manner of the present application, after receiving the next use time change instruction, a new next use time is obtained, and a new second reference time length is determined based on the new next use time. A multi-dimensional state parameter of the vehicle battery is obtained, and based on the real-time environment temperature and the multi-dimensional state parameter, a preset multi-factor dynamic weight matrix is used to determine a priority strategy of the current charging process; the priority strategy is related to at least one of the charging speed, the battery life protection, and the temperature maintenance demand. A corresponding charging regulation parameter set is generated according to the equal proportion regulated charging current, the priority strategy, and the second reference time length; wherein the charging regulation parameter set at least includes one of the target charging current curve and the heating control mode. Based on the charging regulation parameter set, within the new second reference time length, a new charging regulation parameter is dynamically planned, so that the vehicle battery in the new next use time and the time of charging to the preset charging state meet the preset charging time condition.

[0042] Specifically, after receiving the use time change instruction, the new next use time is obtained through the vehicle terminal or the remote platform. The multi-dimensional state parameters are synchronously collected by the battery state monitoring module, including the battery remaining capacity, the core temperature, the single cell voltage balance degree, the health state, and the cumulative charge and discharge cycle number, and the real-time environment temperature and the temperature change trend in the cold region are obtained through the vehicle-mounted environment sensor. The preset multi-factor dynamic weight matrix is called, which includes the initial weight proportion of each battery state parameter and the environmental temperature factor, and the dynamic adjustment rule set based on the characteristics of the cold region scene: when the real-time environment temperature is lower than the preset low temperature threshold, the weight of the battery core temperature parameter is increased; when the single cell voltage balance degree exceeds the allowed range, the weight of the single cell voltage balance degree parameter is increased; when the battery health state is lower than the preset health threshold, the weight of the battery health state parameter is increased.

[0043] The multi-dimensional state parameters and the real-time ambient temperature are mapped to a preset score scale table to obtain corresponding quantized scores. The quantized scores are input into a preset multi-factor dynamic weight matrix. The weight matrix includes a plurality of charging optimization dimensions and weights of optimization targets corresponding to each charging optimization dimension. Based on the dynamically allocated weights, weighted scores corresponding to different optimization targets are determined, and a difference between the highest score and the second highest score is determined. If the difference is less than a preset strategy selection threshold, a hybrid priority strategy is generated, wherein the hybrid priority strategy includes optimization targets that are respectively dominant in different stages of the charging process. If the difference is not less than the preset strategy selection threshold, the optimization target with the highest weighted score is determined as the dominant priority strategy.

[0044] Specifically, a preset score scale table of multi-dimensional state parameters and real-time ambient temperature is constructed in advance. The scale table sets corresponding quantization intervals and score standards for parameters such as battery remaining capacity, core temperature, single cell voltage balance degree, health state, cumulative charge and discharge cycle number, and real-time ambient temperature based on the characteristics of the cold region charging scene and the battery operation law. Real-time values of each parameter are obtained through a battery state monitoring module and a vehicle-mounted environment sensor, and are mapped one by one against the scale table to obtain the quantized scores corresponding to each parameter. A preset multi-factor dynamic weight matrix is retrieved, which includes a plurality of charging optimization dimensions such as charging speed, battery life protection, and temperature maintenance requirement, and allocates initial weights to the optimization targets corresponding to each optimization dimension. The quantized scores of each parameter are input into the weight matrix, and the initial weights of each optimization target are dynamically allocated and updated based on the dynamic adjustment rules of the cold region environment, such as increasing the weight corresponding to the temperature maintenance requirement in a low temperature environment, and increasing the weight corresponding to the battery life protection when the battery health state is poor.

[0045] Furthermore, based on the dynamically allocated weights, the quantitative scores of each parameter are weighted and calculated with the corresponding optimization target weights to obtain a weighted score for each optimization target. By comparing the weighted scores of all optimization targets, the highest and second-highest scores are determined, and the difference between them is calculated. A preset strategy selection threshold is used, and the calculated score difference is compared with this threshold. If the difference is less than the preset strategy selection threshold, it indicates that multiple optimization target needs are similar, and a hybrid priority strategy is generated to clarify the dominant optimization target at different stages of the charging process. For example, in the early stage of charging, temperature maintenance and charging speed are the main focuses, while in the middle and late stages of charging, battery life protection and precise SOC control are the main focuses. If the score difference is not less than the preset strategy selection threshold, it indicates that there is an absolutely dominant optimization target need. The optimization target with the highest weighted score is determined as the dominant priority strategy, and the subsequent planning and adjustment of charging control parameters are all based on this dominant target, while taking into account the basic needs of other optimization targets.

[0046] Furthermore, based on the proportionally adjusted base charging current, combined with the established priority strategy and the new second reference duration, a charging control parameter set is generated: if the priority strategy prioritizes charging speed, the target charging current curve is planned according to a fast charging mode in the early stage and a stable mode in the later stage, and the heating control mode adopts an efficient heating method; if battery life protection is prioritized, the target charging current curve adopts a stable low-fluctuation design, and the heating control mode switches to low-power heat preservation; if temperature maintenance requirements are prioritized, the power adjustment logic of the heating control mode is optimized, and the target charging current curve is adapted to the heating power allocation. Based on the charging control parameter set, a dynamic iteration mechanism is established within the new second reference duration. At preset intervals, real-time battery status parameters and ambient temperature update data are collected. Combined with the remaining charging time, parameters such as the target charging current curve and heating control mode are optimized and adjusted in real time to ensure that the vehicle battery accurately reaches the preset charging state at the next usage time, while balancing charging efficiency, battery life, and cold-region temperature adaptation requirements.

[0047] Figure 2 This application provides a schematic diagram of an electric vehicle charging control logic, as shown in the embodiment of the present application. Figure 2 As shown, the charging control logic for electric vehicles is as follows: 1.1 Determine if the vehicle has entered the charging state. If yes, proceed to 1.2. Otherwise, the process ends and the determination is repeated in the next cycle. 1.2 Determine if the user has set the next car usage time. If yes, proceed to 1.3. Otherwise, the process ends and 1.1 is executed again in the next cycle. 1.3 First, calculate the time T1 for normal charging to the preset SOC and the interval T2 from the current time to the time of vehicle use. Determine whether T2 is greater than T1. If it is, proceed to 1.4. Otherwise, the process ends and 1.1 is executed again in the next cycle. 1.4 Determine whether the vehicle needs a full charge calibration for this charge. If yes, proceed to 1.5; otherwise, proceed to 1.6. 1.5 Calculate the time T3 for normal charging to 100% and the time T4 for 100% power consumption to the preset SOC. Further determine whether T2 is greater than T3+T4. If so, first charge to 100% in time T2-T4, and then consume 100% power to the preset SOC in time T4. Otherwise, do not perform full charge calibration for this charge. Adjust the BCL charging current in real time according to T1 / T2 to achieve the goal of charging to the preset SOC when the vehicle is used. The process ends. 1.6 Adjust the BCL charging current in real time according to T1 / T2 to achieve the goal of charging to the preset SOC when the vehicle is used, and the process ends.

[0048] Figure 3 This is a schematic diagram of the structure of an electric vehicle charging control device provided in an embodiment of this application. Figure 3 As shown, an electric vehicle charging control device 200 includes: at least one processor 201; and a memory 202 communicatively connected to the at least one processor 201. The memory 202 stores instructions executable by the at least one processor 201. These instructions, when the at least one processor 201 detects that a vehicle has entered a charging state, determine a first reference duration for charging the vehicle battery to a preset charging state based on the current charging current, and determine a second reference duration for the time remaining until the next vehicle use, based on the acquired next vehicle use time. The at least one processor 201 compares the first reference duration with the second reference duration and initiates charging control based on the comparison result. If the vehicle battery state meets a preset error condition, the processor determines the ratio between the first reference duration and the second reference duration. Based on the ratio, the processor proportionally controls the current charging current so that the time between the next vehicle use and the time to charge to the preset charging state meet the preset charging time condition.

[0049] This application provides a non-volatile computer storage medium storing computer-executable instructions. These instructions are configured to: upon detecting that a vehicle has entered a charging state, determine a first reference duration for charging the vehicle battery to a preset charging state based on the current charging current; and determine a second reference duration for the time remaining until the next vehicle use, based on the acquired next usage time; compare the first and second reference durations and initiate charging control based on the comparison result; determine the ratio between the first and second reference durations if the vehicle battery state meets a preset error condition; and proportionally adjust the current charging current based on the ratio to ensure that the next usage time and the time to charge to the preset charging state meet the preset charging time condition.

[0050] The various embodiments in this application are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the embodiments of apparatus, devices, and non-volatile computer storage media are basically similar to the method embodiments, so the descriptions are relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0051] The above descriptions are merely embodiments of this application and are not intended to limit the scope of this application. For those skilled in the art, various modifications and variations can be made to the embodiments of this application. These modifications or substitutions do not cause the essence of the corresponding technical solutions to depart from the spirit and scope of the technical solutions in the embodiments of this application.

Claims

1. An electric vehicle charging regulation method, characterized by, The method comprises: Upon detecting that the vehicle enters a charging state, determining, based on a current charging current, a first reference duration corresponding to charging the vehicle battery to a preset charging state, and determining, based on the obtained next use time, a second reference duration corresponding to the distance to the next use; Comparing the first reference duration and the second reference duration, and starting charging regulation based on the comparison result; In the case where the vehicle battery state meets a preset error condition, determining the ratio between the first reference duration and the second reference duration; Based on the ratio, the current charging current is proportionally regulated so that the next use time and the time of charging to the preset charging state meet a preset charging time condition.

2. The method of claim 1, wherein, The comparison of the first reference duration and the second reference duration, and the starting of charging regulation based on the comparison result, specifically comprises: If the first reference duration is not greater than the second reference duration, the charging regulation is started; Otherwise, the current charging regulation task is ended.

3. The method of claim 1, wherein, After the charging regulation is started based on the comparison result, the method further comprises: Determining the time difference between the current time and the time of the last full charge calibration; In the case where the time difference is greater than a preset duration threshold, full charge calibration is started; Otherwise, it is determined that the vehicle battery state meets the preset error condition.

4. The method of claim 3, wherein, After the full charge calibration is started, the method further comprises: Based on the current charging current, determining a third reference duration corresponding to charging the vehicle battery to a full charge state, and determining a fourth reference duration corresponding to discharging from the full charge state to the preset charging state; If the second reference duration is greater than the sum of the third reference duration and the fourth reference duration, the vehicle battery is charged to the full charge state based on the time difference between the second reference duration and the fourth reference duration. Based on the fourth reference duration, the vehicle battery is discharged from the full charge state to the preset charging state to complete the full charge calibration.

5. The method of claim 4, wherein, The determination of the fourth reference duration corresponding to discharging from the full charge state to the preset charging state specifically comprises: Based on the formula: ； The fourth reference duration is determined; wherein T4 is the fourth reference duration, and the preset SOC is the preset charging state.

6. The method of claim 1, wherein, The proportionally regulating of the current charging current based on the ratio specifically comprises: Based on the current regulation formula: I 调 = (T1 / T2) I1+ I2; The regulated charging current is obtained; wherein, I 调 The regulated charging current is obtained; wherein, I The regulated charging current is obtained; wherein, I 7. The method of claim 1, wherein, After the proportionally regulating of the current charging current based on the ratio, the method further comprises: After receiving the next use time change instruction, a new next use time is obtained, and a new second reference duration is determined based on the new next use time; Multi-dimensional state parameters of the vehicle battery are obtained, and based on the real-time environmental temperature and the multi-dimensional state parameters, a priority strategy of the current charging process is determined through a preset multi-factor dynamic weight matrix; the priority strategy is related to at least one of charging speed, battery life protection, and temperature maintenance demand. According to the proportionally regulated charging current, the priority strategy and the second reference time length, a corresponding charging regulation parameter set is generated; wherein the charging regulation parameter set at least includes one of a target charging current curve and a heating control mode; Based on the charging regulation parameter set, a new charging regulation parameter is dynamically planned within the new second reference time length, so that the time from the new next use time to the vehicle battery being charged to the preset charging state meets the preset charging time condition.

8. The method of claim 7, wherein, The priority strategy of the current charging process is determined based on the real-time environmental temperature and the multi-dimensional state parameters through a pre-set multi-factor dynamic weight matrix, specifically including: The multi-dimensional state parameters and the real-time environmental temperature are respectively mapped to a pre-set scoring scale table to obtain the corresponding quantitative scores of each parameter; The quantitative scores are input into the pre-set multi-factor dynamic weight matrix; wherein the weight matrix includes a plurality of charging optimization dimensions, and also includes the weight of each optimization target corresponding to each charging optimization dimension; Based on the dynamically allocated weight, the weighted scores corresponding to different optimization targets are determined, and the difference between the highest score and the second highest score is determined; If the difference is less than a pre-set strategy selection threshold, a mixed priority strategy is generated; wherein the mixed priority strategy includes optimization targets that dominate in different stages of the charging process; If the difference is not less than the pre-set strategy selection threshold, the optimization target with the highest weighted score is determined as the dominant priority strategy.

9. An electric vehicle charging regulation device, characterized by, The device includes a memory for storing computer program instructions and a processor for executing the program instructions, wherein when the computer program instructions are executed by the processor, the device is triggered to perform the method of any one of claims 1-8.

10. A non-transitory computer storage medium storing computer-executable instructions that, when executed, cause a computer to perform: The computer executable instructions can perform the method of any one of claims 1-8. The computer executable instructions can perform the method of any one of claims 1-8.

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