CN111428893A - Battery management method, device, server and storage medium - Google Patents
Battery management method, device, server and storage medium Download PDFInfo
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Abstract
The invention discloses a battery management method, a device, a server and a storage medium, wherein the method comprises the following steps: the method comprises the steps of receiving vehicle data reported by a vehicle, determining the latest time of battery maintenance according to the vehicle data, and sending a reminding message of the battery maintenance to a terminal corresponding to a user of the vehicle if the interval time between the latest time of the battery maintenance and the current time is greater than a preset time interval. It has the following technical effects: on the basis of not increasing hardware, the real-time reminding of battery maintenance can be realized according to vehicle data, the speed of performance reduction of the battery is slowed down, and the service life of the battery is prolonged.
Description
Technical Field
The embodiment of the invention relates to the technical field of new energy automobile power batteries, in particular to a battery management method, a device, a server and a storage medium.
Background
The power battery (hereinafter referred to as battery) is a core component of the new energy automobile. Due to the chemical characteristics of the power battery, conditions such as temperature, humidity, residual capacity and fast and slow charging have great influence on the battery performance, for example, under the condition that the battery is low in capacity, the battery can be overdischarged due to long-time parking due to the self-discharge characteristic, so that the performance of the battery is greatly reduced. Therefore, in order to protect the battery, it is necessary to remind the user to perform maintenance on the battery while using the vehicle.
At present, a user is reminded to maintain and maintain the battery through a user maintenance manual requirement or a mode of regularly reminding the user through customer service.
However, when using a new energy automobile, an individual user brings some use habits of a traditional gasoline automobile into the driving state of the electric automobile, and some driving habit reminders given by the maintenance manual cannot be well executed, for example, the maintenance manual encourages the user to perform a full-charging and discharging cycle of a small battery current half a year, and the user easily forgets to perform maintenance on time. Therefore, the method cannot effectively monitor whether the user completes the maintenance of the battery as required, so that the performance of the battery is reduced quickly.
Disclosure of Invention
The invention provides a battery management method, a battery management device, a server and a storage medium, which are used for solving the technical problem that the performance of a battery is reduced rapidly due to the current battery management mode.
In a first aspect, an embodiment of the present invention provides a battery management method, including:
Receiving vehicle data reported by a vehicle;
Determining the latest time for battery maintenance according to the vehicle data;
And if the interval time between the latest time of the battery maintenance and the current time is determined to be greater than the preset time interval, sending a reminding message of the battery maintenance to a terminal corresponding to a user of the vehicle.
In a second aspect, an embodiment of the present invention provides a battery management apparatus, including:
The receiving module is used for receiving vehicle data reported by a vehicle;
The first determination module is used for determining the latest time for battery maintenance according to the vehicle data;
And the first reminding module is used for sending reminding information of battery maintenance to a terminal corresponding to a user of the vehicle if the interval time between the latest time of the battery maintenance and the current time is determined to be greater than a preset time interval.
In a third aspect, an embodiment of the present invention further provides a server, including:
One or more processors;
A memory for storing one or more programs;
When executed by the one or more processors, cause the one or more processors to implement the battery management method as provided in the first aspect.
In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the battery management method as provided in the first aspect.
The embodiment of the invention provides a battery management method, a device, a server and a storage medium, wherein the method comprises the following steps: the method comprises the steps of receiving vehicle data reported by a vehicle, determining the latest time of battery maintenance according to the vehicle data, and sending a reminding message of the battery maintenance to a terminal corresponding to a user of the vehicle if the interval time between the latest time of the battery maintenance and the current time is greater than a preset time interval. It has the following technical effects: on the basis of not increasing hardware, the real-time reminding of battery maintenance can be realized according to vehicle data, the speed of performance reduction of the battery is slowed down, and the service life of the battery is prolonged.
Drawings
Fig. 1 is a schematic diagram of an application scenario of a battery management method provided in the present invention;
Fig. 2 is a schematic flow chart illustrating a battery management method according to an embodiment of the present invention;
Fig. 3 is a schematic flow chart of a battery management method according to another embodiment of the present invention;
Fig. 4 is a schematic flow chart of a battery management method according to another embodiment of the present invention;
Fig. 5 is a schematic structural diagram of a battery management device according to an embodiment of the present invention;
Fig. 6 is a schematic structural diagram of a battery management device according to another embodiment of the present invention;
Fig. 7 is a schematic structural diagram of a battery management device according to another embodiment of the present invention;
Fig. 8 is a schematic structural diagram of a server according to an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Fig. 1 is a schematic diagram of an application scenario of a battery management method provided by the present invention. As shown in fig. 1, the vehicle 11 uploads vehicle data to the server 12. For example, the vehicle 11 may upload vehicle data in accordance with the national standard GBT 32960. The server 12 is provided with a model judgment module 121 and a background system statistics module 122. The server 12 decodes and converts the vehicle data into readable data. The model determining module 121 may determine whether to send a reminding message of battery maintenance to the terminal 13 corresponding to the user of the vehicle according to the vehicle data. The back-office system statistics module 122 may present the vehicle data in different dimensions. Compared with the method for reminding the user of maintaining and maintaining the battery through the requirement of the user maintenance manual or the mode of regularly reminding the user by customer service, the battery management method provided by the embodiment can realize real-time reminding of maintaining and maintaining the battery for the user according to the vehicle data.
Fig. 2 is a schematic flow chart of a battery management method according to an embodiment of the present invention. The embodiment is suitable for a scene for reminding a user of maintaining the battery. The battery management method may be performed by a battery management apparatus, which may be implemented by software and/or hardware, and may be integrated in a server. As shown in fig. 2, the battery management method provided in this embodiment includes the following steps:
Step 201: and receiving vehicle data reported by the vehicle.
Specifically, the vehicle in the present embodiment may be a new energy vehicle. The vehicle may upload vehicle data to the server as specified in the national standard GBT 32960.
The vehicle data in this embodiment is related information of the vehicle in the driving process. Optionally, the vehicle data may include at least one of: the system comprises the information of the residual capacity of the battery, the time corresponding to the residual capacity of the battery, charging information, the time corresponding to the charging information, the starting state and time of the vehicle, the mileage and the time, the position where the vehicle is located recently, the health state of the battery and the total driving mileage.
Step 202: based on the vehicle data, the most recent time for battery maintenance is determined.
Specifically, the server, upon receiving the vehicle data, may determine a most recent time for battery maintenance based on the vehicle data. The battery in this embodiment may be a power battery in a vehicle. The latest time of the battery maintenance in this embodiment refers to the time when the battery maintenance was performed last time.
The battery maintenance in this embodiment refers to "full charge" battery maintenance.
In one implementation, the vehicle data includes a time for battery maintenance. The time of the last maintenance therein is determined as the latest time of the battery maintenance.
In another implementation, the latest time for battery maintenance may be determined based on the remaining capacity information of the battery, the time corresponding to the remaining capacity of the battery, the charging information, and the time corresponding to the charging information.
The translation of full Charge and discharge is that the instrument of the battery shows that the power battery has low electric quantity and requires charging, namely the SOC (State of Charge, SoC) of the battery is less than 20 percent, and the battery is charged slowly until the battery is fully charged, namely the SoC is more than or equal to 95 percent, and the maximum charging current is less than 25A. If the two states appear in sequence, the battery maintenance is considered to be completed once.
In this implementation, the remaining capacity information and the charging information of the battery are arranged in order of time from front to back according to the time corresponding to the remaining capacity information and the time corresponding to the charging information of the battery in the vehicle data, and a battery data queue is formed. The battery data queue in this embodiment includes remaining capacity information and charging information arranged from front to back in time order. First residual capacity information used for indicating that the residual capacity of the battery is smaller than a first preset value and corresponding time are determined, and first charging information used for indicating that the residual capacity of the charged battery is larger than a second preset value and charging current is smaller than a third preset value and corresponding time are determined. Determining first charging information, the adjacent last information of which is first residual capacity information, in the battery data queue as target charging information; and determining the time of the target charging information which appears recently as the latest time of the battery maintenance.
In this implementation, a plurality of first remaining capacity information and corresponding times, a plurality of first charging information and corresponding times may be determined. Among the plurality of first charging information, the first charging information whose immediately preceding information is the first remaining capacity information is screened out as the target charging information based on the battery data queue. And determining the time of the target charging information which appears recently as the latest time of the battery maintenance.
Step 203: and if the interval time between the latest time of the battery maintenance and the current time is determined to be greater than the preset time interval, sending a reminding message of the battery maintenance to a terminal corresponding to a user of the vehicle.
Specifically, the preset time intervals may be multiple, so as to implement differentiated reminding according to the interval time between the latest time of battery maintenance and the current time. The reminding mode can be that reminding information is sent to an application program on the terminal.
Optionally, the vehicle data further comprises: starting state and time of the vehicle, mileage and time. After step 201, the operating conditions of the vehicle may also be determined from the vehicle data. The specific process is as follows.
If the duration of the vehicle which is not started, the duration of the non-charging state, the duration of the unchanged residual capacity of the battery and the duration of the unchanged mileage of the vehicle are determined to exceed a preset time threshold according to the vehicle data, determining the working condition of the vehicle to be a long-time parking working condition; and if any one of the duration of the vehicle being not started, the duration of the non-charging state, the duration of the remaining capacity of the battery being unchanged and the duration of the mileage being unchanged is determined not to exceed a preset time threshold according to the vehicle data, determining that the working condition of the vehicle is a normal driving working condition. The preset time threshold here may be 30 days.
Based on the foregoing implementation, step 203 specifically includes: determining a preset time interval corresponding to the working condition of the vehicle and a reminding strategy of battery maintenance corresponding to the working condition according to the working condition of the vehicle; and if the interval time between the latest time of the battery maintenance and the current time is larger than the preset time interval corresponding to the working condition, sending a reminding message of the battery maintenance to the terminal according to a reminding strategy of the battery maintenance corresponding to the working condition of the vehicle.
Table 1 shows the judgment rule and the display rule of the normal driving condition. The "last triggered maintenance" in table 1 refers to the last battery maintenance service. Table 2 shows the judgment rules and the display rules of the long-time parking condition.
TABLE 1 judgment and display rules for normal driving conditions
TABLE 2 judgment rules and presentation rules for long-term parking conditions
Further, in this embodiment, the vehicle data may also be presented according to different dimensions. Wherein the dimensions include: license plate, vehicle number, vehicle type, region, location, time, mileage, and vehicle time of arrival. Table 3 is the background query and statistics dimension.
Table 3 background query and statistics dimensions
Displaying vehicle data in different dimensions may help after-sales personnel to discover trends and score user behavior.
The above process is described below as a specific example. If an electric vehicle exists, the battery management method provided by the embodiment is applied. First, the vehicle uploads the vehicle data of the vehicle to the server according to the national standard requirement. Through the analysis and conversion of the server, a data set with one line of data every 10 seconds is generated by taking the national standard required field as information. And then the model judgment module in fig. 1 is called. The model judging module performs the following operations: traversing historical data to form a battery data queue, searching first residual capacity information and corresponding time, first charging information and corresponding time, determining target charging information according to the battery data queue, and determining the latest time for maintaining the battery; judging whether the working condition of the vehicle is a long-time parking working condition or a normal running working condition according to the vehicle data; and reminding the user according to the corresponding reminding scheme. If the user does not maintain the power in the normal driving state for 150 days, a prompt is given to remind that the user needs to perform charging circulation within 1 month or go to a 4S shop for maintenance. The background system statistics module can count the maintenance of all vehicles and the statistical information of corresponding time as shown in table 3, so that later-stage query is facilitated.
The battery management method provided by the embodiment comprises the following steps: the method comprises the steps of receiving vehicle data reported by a vehicle, determining the latest time of battery maintenance according to the vehicle data, and sending a reminding message of the battery maintenance to a terminal corresponding to a user of the vehicle if the interval time between the latest time of the battery maintenance and the current time is greater than a preset time interval. It has the following technical effects: on the basis of not increasing hardware, the real-time reminding of battery maintenance can be realized according to vehicle data, the speed of performance reduction of the battery is slowed down, and the service life of the battery is prolonged.
Fig. 3 is a schematic flow chart of a battery management method according to another embodiment of the present invention. The present embodiment provides a detailed description of the steps for performing other operations according to the vehicle data based on the embodiment shown in fig. 2. As shown in fig. 3, the battery management method provided in this embodiment includes the following steps:
Step 301: and receiving vehicle data reported by the vehicle.
Step 301 is similar to step 201 in implementation process and technical principle, and is not described herein again.
Step 302: and determining the ambient temperature of the vehicle according to the latest position of the vehicle and the current time.
In this embodiment, the vehicle data further includes: the vehicle's recent location, the battery's state of health, and the total driving range.
Specifically, the ambient temperature of the vehicle may be obtained from a weather forecast database of the current time of the location where the vehicle is located most recently.
In an implementation manner, the battery management method provided in this embodiment may further obtain a weather condition of the location where the vehicle is located recently according to the location where the vehicle is located recently and the current time; and sending weather reminding information to the terminal according to the weather condition. This implementation can discern the potential influence of environmental change to battery life-span, safety, through data analysis, sends the warning of weather to the user, guides the user to standardize the user, eliminates extreme weather and uses the negative effects that produces to the battery. Meanwhile, user care can be embodied.
Table 4 shows the environment status reminding judgment rule and the display rule. The color warning in table 4 refers to color warning information in weather forecast.
Table 4 environmental status alert judgment rules and presentation rules
As can be seen from Table 4, the weather alerts can be divided into: information reminders and alert reminders. For severe weather such as rainstorm and the like, in order to ensure that the performance of the battery is not influenced, warning reminding can be carried out on a notification front page of an application program of the terminal.
Step 303: and determining the self-discharge rate corresponding to the current state of the vehicle according to the ambient temperature, the health state of the battery, the total driving range and the latest residual capacity of the battery.
Specifically, the self-discharge rate of the battery is related to the ambient temperature, the State of Health (SoH) of the battery, the total driving range, and the remaining capacity of the battery. Among other things, the SoH of a battery can be characterized by the time the battery has been in use. Table 5 is a statistical dimension of the self-discharge rate.
TABLE 5 statistical dimension of self-discharge Rate
When the vehicle is parked for a long time and is not used, the SoC is low when the vehicle is parked, and the like, the SoC of the vehicle is too low due to self-discharge of the battery, even the battery is over-discharged, the use of a user is influenced, the battery is irreversibly damaged, and the service life and the safety of the battery are adversely affected. The embodiment can remind the user of charging the battery, and the risk of over-discharging the battery is avoided as much as possible.
And counting the self-discharge rate from four dimensions of the SoC, the ambient temperature, the total driving range and the used time of the battery. Calculating the formula: self-discharge rate (day) — (SoC) t-SoC0)/(t*SoC0) 100%. Wherein, SoC 0For SoC during parking, SoC tThe power-on voltage value after parking for t days corresponds to SoC, and t is the parking time (day). The self-discharge rate can be counted based on big data according to the formula, and the average value of a plurality of historical self-discharge rates corresponding to the current state is taken as the self-discharge rate of the battery in the current state (the current residual capacity information of the battery, the current service time of the battery, the current total driving mileage and the current environment temperature). A mapping table of the current state of the vehicle and the self-discharge rate may be formed based on the above formula. Based on the mapping table, a corresponding self-discharge rate is determined according to the current state of the vehicle.
Step 304: and when the residual capacity of the vehicle is determined to be smaller than a preset residual capacity threshold value according to the self-discharge rate corresponding to the current state of the vehicle and the latest residual capacity of the battery, sending reminding information for charging the battery to the terminal.
Specifically, the self-discharge rate corresponding to the current state of the vehicle and the latest remaining capacity of the battery may be based on the formula t 0(day) ═ SOC 01-15%) self-discharge rate (days), determining the time when the vehicle can be safely parked. Illustratively, the preset remaining capacity threshold here is 15%. SOC 01The most recent remaining capacity of the battery. At t 0And after the day, indicating that the residual capacity of the vehicle is smaller than the preset residual capacity threshold value, and sending reminding information for charging the battery to the terminal.
Further, the determination logic may be: when the precondition is satisfied: SOC 1 01More than 15 percent; 2. when the parking time (the transmission interval from the last parking message) is more than 72h, the safe parking time t is judged 0(day) ═ SOC 01-15%) of Discharge rate (days); t (days) is the parked time ", when the logic judgment is satisfied: SOC 01Not more than 15% and t not less than t0, pushing the early warning that SOC is too low.
Step 305: based on the vehicle data, the most recent time for battery maintenance is determined.
Step 306: and if the interval time between the latest time of the battery maintenance and the current time is determined to be greater than the preset time interval, sending a reminding message of the battery maintenance to a terminal corresponding to a user of the vehicle.
The implementation process and technical principle of step 305 and step 202, step 306 and step 203 are similar, and are not described herein again.
The above process is described below as a specific example. If an electric vehicle exists, the battery management method provided by the embodiment is applied. In one example, based on the vehicle data, it is determined that the last time the data was reported is in Jilin Changchun. And determining the weather forecast as a fog yellow early warning according to the current position and the current time. And sending the warning of the fog color of the user today to the user to pay attention to the driving safety. In another example, the user goes to Beijing on business after parking the vehicle for 5 days, starting at day 11.13. After determining the self-discharge rate of the vehicle, it was determined that the SOC was about to decrease to 15% after 2 days according to the self-discharge rate. And on day 11.15, a prompt of 'the vehicle is low in electricity, and people please charge in time for your convenience in traveling' is sent to the user.
According to the battery management method provided by the embodiment, the weather reminding information is sent to the user according to the vehicle data, and the charging reminding information is sent to the user according to the vehicle data, so that on one hand, the potential influence of environmental change on the service life and safety of the battery can be identified, the weather reminding is sent to the user through data analysis, the user is guided to standardize the user, the negative influence of extreme weather on the use of the battery is eliminated, and on the other hand, the risk of over-discharging the battery is avoided as much as possible.
Fig. 4 is a flowchart illustrating a battery management method according to another embodiment of the present invention. The present embodiment provides a detailed description of other steps of the battery management method based on the embodiments shown in fig. 2 or fig. 3 and various alternatives. As shown in fig. 4, the battery management method provided in this embodiment includes the following steps:
Step 401: and receiving vehicle data reported by the vehicle.
In this embodiment, the charging information in the vehicle data includes: charging current and charging strategy.
Step 402: and if the charging current is smaller than the preset charging current threshold value in the first charging process, determining that the first charging process is slow charging.
Step 403: and if the charging current changes along with the residual capacity of the battery according to the charging strategy in the second charging process, determining that the second charging process is quick charging.
Step 404: and determining the charging energy of slow charging and the charging energy of fast charging according to the difference value of the residual capacities of the batteries before and after charging and the rated capacity of the battery.
Step 405: and if the ratio of the charging energy of the fast charging to the charging energy of the slow charging is determined to be larger than the preset energy threshold, sending reminding information for encouraging the slow charging to the terminal.
Specifically, in this embodiment, a prompt message for encouraging slow charging may be sent to the terminal based on the ratio of the charging energies of the fast charging and the slow charging. Table 6 shows the fast charge and slow charge state determination tables.
Table 6 quick charging and slow charging state decision table
The charging energy is the product of the SoC difference before and after charging and the rated capacity of the battery.
If the ratio of the charging energy of the fast charging to the charging energy of the slow charging is larger than the preset energy threshold, it indicates that the user uses the fast charging more, and the user needs to be guided to charge more slowly and less quickly, so as to prolong the service life of the battery.
In this embodiment, the number ratio of fast charging to slow charging can be displayed, so that the user can know the battery state of the user more. The average value of the charging states of other vehicle types in the same region or type can be compared, and the charging habits of customers are guided. The table of the ratio of the number of the fast and slow charges can be displayed for the user, the expression of full sweat can be shown in the fast charging part, the expression of relaxed expression can be shown in the slow charging part, and the expression is used for reminding the user to use the slow charge more in an indirect mode. Table 7 is the background query and statistics dimension. The charge capacity in table 7 is the SOC variation multiplied by the rated capacity. The charging temperature rise in table 7 can be represented by a pie chart, representing the distribution of the charging temperature rise at the present time, determined by the charging termination temperature-the charging initiation temperature. Can be distinguished by month and divided into 12 pie charts. The charge starting SOC in table 7 may be represented as a pie chart, representing the SOC distribution by the present, which may be bounded per 10% SOC. The end-of-charge SOC representation may be represented as a pie chart, characterizing the SOC distribution by the present, bounded per 10% SOC. The change in charge SOC is bounded by the present charge SOC distribution, on a per 10% SOC basis.
Table 7 background query and statistics dimensions
Step 406: based on the vehicle data, the most recent time for battery maintenance is determined.
Step 407: and if the interval time between the latest time of the battery maintenance and the current time is determined to be greater than the preset time interval, sending a reminding message of the battery maintenance to a terminal corresponding to a user of the vehicle.
Step 406 is similar to step 202, step 407 and step 203, and the implementation process and technical principle are not described herein again.
According to the battery management method provided by the embodiment, when the ratio of the charging energy of the fast charge to the charging energy of the slow charge is determined to be larger than the preset energy threshold, it is indicated that the user uses the fast charge more, and the user is guided to charge more slowly and less quickly, so that the service life of the battery is prolonged.
Fig. 5 is a schematic structural diagram of a battery management device according to an embodiment of the present invention. As shown in fig. 5, the battery management apparatus includes: a receiving module 51, a first determining module 52 and a first reminding module 53.
The receiving module 51 is configured to receive vehicle data reported by a vehicle.
A first determination module 52 for determining a most recent time for battery maintenance based on the vehicle data.
Optionally, the vehicle data comprises: the remaining capacity information of the battery, the time corresponding to the remaining capacity of the battery, the charging information, and the time corresponding to the charging information. Correspondingly, the first determining module 52 is specifically configured to: arranging the residual capacity information and the charging information of the battery according to the time corresponding to the residual capacity information and the time corresponding to the charging information of the battery in the vehicle data and in the sequence from front to back of the time to form a battery data queue; determining first residual capacity information and corresponding time for indicating that the residual capacity of the battery is smaller than a first preset value, and first charging information and corresponding time for indicating that the residual capacity of the charged battery is larger than a second preset value and the charging current is smaller than a third preset value; determining first charging information of which the immediately previous information is first residual capacity information in the battery data queue as target charging information; and determining the time of the target charging information which appears recently as the latest time of the battery maintenance.
The first reminding module 53 is configured to send a reminding message of battery maintenance to a terminal corresponding to a user of the vehicle if it is determined that the interval time between the latest time of battery maintenance and the current time is greater than the preset time interval.
In one implementation, the vehicle data further includes: starting state and time of the vehicle, mileage and time. The battery management device provided by the embodiment further comprises: a second determination module and a third determination module.
The second determining module is used for determining that the working condition of the vehicle is a long-time parking working condition if the duration of the vehicle which is not started, the duration of the non-charging state, the duration of the unchanged residual capacity of the battery and the duration of the unchanged mileage exceed preset time thresholds according to the vehicle data. And the third determining module is used for determining that the working condition of the vehicle is a normal driving working condition if any one of the duration of the vehicle which is not started, the duration of the non-charging state, the duration of the battery residual capacity which is not changed and the duration of the mileage which is not changed does not exceed a preset time threshold according to the vehicle data.
In this implementation manner, the first reminding module 53 is specifically configured to: determining a preset time interval corresponding to the working condition of the vehicle and a reminding strategy of battery maintenance corresponding to the working condition according to the working condition of the vehicle; and if the interval time between the latest time of the battery maintenance and the current time is larger than the preset time interval corresponding to the working condition, sending a reminding message of the battery maintenance to the terminal according to a reminding strategy of the battery maintenance corresponding to the working condition of the vehicle.
Further, the battery management apparatus further includes: and the display module is used for displaying the vehicle data according to different dimensions. Wherein the dimensions include: license plate, vehicle number, vehicle type, region, location, time, mileage, and vehicle time of arrival.
The battery management device provided by the embodiment of the invention can execute the battery management method provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.
Fig. 6 is a schematic structural diagram of a battery management device according to another embodiment of the present invention. This embodiment provides a detailed description of other modules included in the battery management device based on the embodiment shown in fig. 5. As shown in fig. 6, the battery management apparatus provided in this embodiment further includes: a fourth determination module 61, a fifth determination module 62 and a second reminder module 63.
And the fourth determining module 61 is configured to determine the ambient temperature of the vehicle according to the latest position of the vehicle and the current time.
In this embodiment, the vehicle data further includes: the vehicle's recent location, the battery's state of health, and the total driving range.
And a fifth determining module 62, configured to determine a self-discharge rate corresponding to the current state of the vehicle according to the ambient temperature, the state of health of the battery, the total driving range, and the latest remaining capacity of the battery.
And the second reminding module 63 is configured to send reminding information for charging the battery to the terminal when the remaining capacity of the vehicle is determined to be smaller than the preset remaining capacity threshold according to the self-discharge rate corresponding to the current state of the vehicle and the latest remaining capacity of the battery.
Optionally, the battery management apparatus further includes: the acquisition module is used for acquiring the weather condition of the position where the vehicle is located recently according to the position where the vehicle is located recently and the current time. Correspondingly, the second reminding module 63 is further configured to send weather reminding information to the terminal according to the weather condition.
The battery management device provided by the embodiment of the invention can execute the battery management method provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.
Fig. 7 is a schematic structural diagram of a battery management device according to another embodiment of the present invention. In this embodiment, a detailed description is made of other modules included in the battery management device based on the embodiment shown in fig. 5 or fig. 6. As shown in fig. 7, the battery management apparatus provided in this embodiment further includes: a sixth determining module 71, a seventh determining module 72, an eighth determining module 73 and a third reminding module 74.
A sixth determining module 71, configured to determine that the first charging process is slow charging if it is determined that the charging current in the first charging process is smaller than the preset charging current threshold.
The charging information in this embodiment includes: charging current and charging strategy.
A seventh determining module 72, configured to determine that the second charging process is a fast charging process if it is determined that the charging current varies with the remaining capacity of the battery according to the charging policy in the second charging process.
An eighth determining module 73, configured to determine the charging energy of the slow charging and the charging energy of the fast charging according to a difference between remaining capacities of the battery before and after charging and a rated capacity of the battery.
And a third reminding module 74, configured to send a reminding message for encouraging slow charging to the terminal if it is determined that the ratio of the fast charging energy to the slow charging energy is greater than the preset energy threshold.
The battery management device provided by the embodiment of the invention can execute the battery management method provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.
Fig. 8 is a schematic structural diagram of a server according to an embodiment of the present invention. As shown in fig. 8, the server includes a processor 80 and a memory 81. The number of the processors 80 in the server may be one or more, and one processor 80 is taken as an example in fig. 8; the processor 80 and the memory 81 of the server may be connected by a bus or other means, as exemplified by the bus connection in fig. 8.
The memory 81 is used as a computer-readable storage medium for storing software programs, computer-executable programs, and modules, such as program instructions and modules corresponding to the battery management method in the embodiment of the present invention (for example, the receiving module 51, the first determining module 52, and the first reminding module 53 in the battery management apparatus). The processor 80 executes various functional applications of the server and data processing by running software programs, instructions, and modules stored in the memory 81, that is, implements the above-described battery management method.
The memory 81 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the server, and the like. Further, the memory 81 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some embodiments, memory 81 may further include memory located remotely from processor 80, which may be connected to a server over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The present invention also provides a storage medium containing computer-executable instructions which, when executed by a computer processor, are operable to perform a method of battery management, the method comprising:
Receiving vehicle data reported by a vehicle;
Determining the latest time for battery maintenance according to the vehicle data;
And if the interval time between the latest time of the battery maintenance and the current time is determined to be greater than the preset time interval, sending a reminding message of the battery maintenance to a terminal corresponding to a user of the vehicle.
Of course, the storage medium provided by the embodiment of the present invention contains computer-executable instructions, and the computer-executable instructions are not limited to the operations of the method described above, and may also perform related operations in the battery management method provided by any embodiment of the present invention.
based on the understanding that the technical solutions of the present invention can be embodied in the form of software products, such as floppy disks, Read-Only memories (ROMs), Random Access Memories (RAMs), flash memories (F L ASHs), hard disks or optical disks of a computer, and the like, which can store computer software products, such as floppy disks, Read-Only memories (ROMs), Random Access Memories (RAMs), flash memories (F L ASHs), hard disks or optical disks, and the like, and include instructions for enabling a computer device (which may be a personal computer, a vehicle, or a network device, and the like) to execute the battery management method according to the embodiments of the present invention.
It should be noted that, in the embodiment of the battery management apparatus, the included units and modules are merely divided according to the functional logic, but are not limited to the above division as long as the corresponding functions can be implemented; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. A battery management method, comprising:
Receiving vehicle data reported by a vehicle;
Determining the latest time for battery maintenance according to the vehicle data;
And if the interval time between the latest time of the battery maintenance and the current time is determined to be greater than the preset time interval, sending a reminding message of the battery maintenance to a terminal corresponding to a user of the vehicle.
2. The method of claim 1, wherein the vehicle data comprises: the method comprises the steps of obtaining the residual capacity information of a battery, the time corresponding to the residual capacity of the battery, charging information and the time corresponding to the charging information;
The determining a most recent time for battery maintenance based on the vehicle data includes:
Arranging the residual capacity information and the charging information of the battery according to the time corresponding to the residual capacity information and the time corresponding to the charging information of the battery in the vehicle data and in the sequence from front to back of the time to form a battery data queue;
Determining first residual capacity information and corresponding time for indicating that the residual capacity of the battery is smaller than a first preset value, and first charging information and corresponding time for indicating that the residual capacity of the charged battery is larger than a second preset value and the charging current is smaller than a third preset value;
Determining first charging information, the immediately previous information of which is first remaining capacity information, in the battery data queue as target charging information;
And determining the time of the target charging information which appears recently as the latest time of the battery maintenance.
3. The method of claim 2, wherein the vehicle data further comprises: the starting state and time, mileage and time of the vehicle;
After receiving the vehicle data reported by the vehicle, the method further includes:
If the duration of the vehicle which is not started, the duration of a non-charging state, the duration of the unchanged residual capacity of the battery and the duration of the unchanged mileage are determined to exceed a preset time threshold according to the vehicle data, determining that the working condition of the vehicle is a long-time parking working condition;
If any one of the duration of the vehicle which is not started, the duration of a non-charging state, the duration of the unchanged residual capacity of the battery and the duration of the unchanged mileage does not exceed the preset time threshold value according to the vehicle data, determining that the working condition of the vehicle is a normal driving working condition;
Correspondingly, if it is determined that the interval time between the latest time of the battery maintenance and the current time is greater than the preset time interval, sending a reminding message of the battery maintenance to a terminal corresponding to a user of the vehicle, including:
Determining a preset time interval corresponding to the working condition of the vehicle and a reminding strategy of battery maintenance corresponding to the working condition according to the working condition of the vehicle;
And if the interval time between the latest time of the battery maintenance and the current time is larger than the preset time interval corresponding to the working condition, sending a reminding message of the battery maintenance to the terminal according to a reminding strategy of the battery maintenance corresponding to the working condition of the vehicle.
4. The method of claim 2, wherein the vehicle data further comprises: the vehicle's recent location, battery health, and total driving range;
After receiving the vehicle data reported by the vehicle, the method further includes:
Determining the ambient temperature of the vehicle according to the latest position of the vehicle and the current time;
Determining a self-discharge rate corresponding to the current state of the vehicle according to the ambient temperature, the health state of the battery, the total driving range and the latest residual capacity of the battery;
And when the fact that the residual capacity of the vehicle is smaller than a preset residual capacity threshold value is determined according to the self-discharge rate corresponding to the current state of the vehicle and the latest residual capacity of the battery, sending reminding information for charging the battery to the terminal.
5. The method of claim 4, wherein after determining the ambient temperature at which the vehicle is located based on the vehicle's recent location and the current time, the method further comprises:
Acquiring the weather condition of the position where the vehicle is located recently according to the position where the vehicle is located recently and the current time;
And sending weather reminding information to the terminal according to the weather condition.
6. The method of claim 2 or 3, wherein the charging information comprises: charging current and charging strategy;
After receiving the vehicle data reported by the vehicle, the method further includes:
If the charging current is smaller than a preset charging current threshold value in the first charging process, determining that the first charging process is slow charging;
If the charging current changes along with the residual capacity of the battery according to the charging strategy in the second charging process, determining that the second charging process is quick charging;
Determining slow charging energy and fast charging energy according to the difference value of the residual capacities of the batteries before and after charging and the rated capacity of the battery;
And if the ratio of the charging energy of the fast charging to the charging energy of the slow charging is determined to be larger than a preset energy threshold, sending reminding information for encouraging the slow charging to the terminal.
7. The method according to any one of claims 1-6, wherein after receiving the vehicle data reported by the vehicle, the method further comprises:
Displaying the vehicle data according to different dimensions; wherein the dimensions include: license plate, vehicle number, vehicle type, region, location, time, mileage, and vehicle time of arrival.
8. A battery management apparatus, comprising:
The receiving module is used for receiving vehicle data reported by a vehicle;
The first determination module is used for determining the latest time for battery maintenance according to the vehicle data;
And the first reminding module is used for sending reminding information of battery maintenance to a terminal corresponding to a user of the vehicle if the interval time between the latest time of the battery maintenance and the current time is determined to be greater than a preset time interval.
9. A server, characterized in that the server comprises:
One or more processors;
A memory for storing one or more programs;
When executed by the one or more processors, cause the one or more processors to implement the battery management method of any of claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the battery management method according to any one of claims 1 to 7.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112477692A (en) * | 2020-11-25 | 2021-03-12 | 中国第一汽车股份有限公司 | Charging control method and device for power battery of electric automobile |
| CN112937436A (en) * | 2021-01-26 | 2021-06-11 | 北京车和家信息技术有限公司 | Vehicle parking early warning method and device and electronic equipment |
| CN115122933A (en) * | 2022-08-22 | 2022-09-30 | 中国第一汽车股份有限公司 | Electric automobile standing abnormity identification method and device |
| CN115610278A (en) * | 2022-11-07 | 2023-01-17 | 中国第一汽车股份有限公司 | Battery charging control method and vehicle |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106019161A (en) * | 2016-05-18 | 2016-10-12 | 北京新能源汽车股份有限公司 | Method for evaluating state of power battery pack of electric vehicle and battery management system |
| CN108263311A (en) * | 2018-01-23 | 2018-07-10 | 成都路行通信息技术有限公司 | A kind of vehicle maintenance maintenance based reminding method and device |
| CN108638890A (en) * | 2018-05-16 | 2018-10-12 | 蔚来汽车有限公司 | Server, maintenance terminal, power battery maintenance method, apparatus and system |
| CN110889513A (en) * | 2018-08-21 | 2020-03-17 | 上海博泰悦臻网络技术服务有限公司 | Maintenance supervision method and vehicle |
-
2020
- 2020-03-24 CN CN202010213391.0A patent/CN111428893A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106019161A (en) * | 2016-05-18 | 2016-10-12 | 北京新能源汽车股份有限公司 | Method for evaluating state of power battery pack of electric vehicle and battery management system |
| CN108263311A (en) * | 2018-01-23 | 2018-07-10 | 成都路行通信息技术有限公司 | A kind of vehicle maintenance maintenance based reminding method and device |
| CN108638890A (en) * | 2018-05-16 | 2018-10-12 | 蔚来汽车有限公司 | Server, maintenance terminal, power battery maintenance method, apparatus and system |
| CN110889513A (en) * | 2018-08-21 | 2020-03-17 | 上海博泰悦臻网络技术服务有限公司 | Maintenance supervision method and vehicle |
Non-Patent Citations (1)
| Title |
|---|
| 李林祥 等: "汽车驾驶员必备知识与实用技能", 海潮出版社, pages: 309 - 310 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112477692A (en) * | 2020-11-25 | 2021-03-12 | 中国第一汽车股份有限公司 | Charging control method and device for power battery of electric automobile |
| CN112937436A (en) * | 2021-01-26 | 2021-06-11 | 北京车和家信息技术有限公司 | Vehicle parking early warning method and device and electronic equipment |
| CN112937436B (en) * | 2021-01-26 | 2024-07-05 | 北京车和家信息技术有限公司 | Vehicle parking early warning method and device and electronic equipment |
| CN115122933A (en) * | 2022-08-22 | 2022-09-30 | 中国第一汽车股份有限公司 | Electric automobile standing abnormity identification method and device |
| CN115610278A (en) * | 2022-11-07 | 2023-01-17 | 中国第一汽车股份有限公司 | Battery charging control method and vehicle |
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Application publication date: 20200717 |