CN114194067A - Intelligent management method and system for automobile battery and computer readable storage medium thereof - Google Patents
Intelligent management method and system for automobile battery and computer readable storage medium thereof Download PDFInfo
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
- B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
- B60L58/12—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to state of charge [SoC]
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
- B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
- B60L58/16—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to battery ageing, e.g. to the number of charging cycles or the state of health [SoH]
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage systems for electromobility, e.g. batteries
Abstract
The invention discloses an intelligent management method, a system and a computer readable storage medium for an automobile battery, wherein the method comprises the following steps: starting from an initial state of the automobile, detecting and recording the battery health degree X and the battery life value Y before and after each charging of the automobile, and recording the charging time T and the charging times F each time; calculating the remaining charging times Fx, the charging efficiency H and the estimated charging time Tx of the automobile according to the battery health degree X, the battery life value Y, the charging time T and the charging times F; when the automobile is in a flameout and placed state, detecting the residual battery capacity C1 when the automobile is flameout, the residual battery capacity C2 before restarting and flameout duration D; calculating dark current daily consumption efficacy V of the vehicle-mounted electric appliance according to the residual battery capacity C1, the residual battery capacity C2 and the flameout duration DDark currentAnd the electricity consumption time D of the vehicle-mounted electric applianceConsumption of(ii) a Thereby prompting the user to perform battery maintenance or intelligently execute the automobile battery maintenanceAnd (6) planning.
Description
Technical Field
The application relates to the technical field of automobile batteries, in particular to an intelligent management method and system for an automobile battery and a computer readable storage medium thereof.
Background
With the popularization of energy conservation and emission reduction and the development of new energy automobiles, the new energy automobiles comprise pure electric automobiles, extended range electric automobiles, hybrid electric automobiles, fuel cell electric automobiles, hydrogen engine automobiles and the like. The new energy automobile takes a battery technology as a core, and uses a battery as an energy storage device, so as to provide driving power for the electric automobile; generally, the number of charge and discharge cycles of an automobile battery is 300, and the battery needs to be replaced after reaching a high limit, and the service life of the automobile battery is generally about 3 years according to the frequency of use of a household automobile, but the service life of the automobile battery can reach 5 to 6 years after good battery maintenance. Therefore, the battery residual capacity of the battery directly determines the driving capacity of the automobile, the battery performance directly determines the overall reliability of the automobile, and the battery maintenance mode directly determines the service life of the automobile battery.
At present, more technical schemes disclose that a battery detector is used for detecting the performance of a battery, and a battery charger is used for charging the battery; with the development of an intelligent vehicle machine system, the functions of an automobile battery charger and an automobile battery detector are overlapped to form charging detection equipment, and after the battery is detected, the maintenance, the charging and the like of the automobile are judged artificially and subjectively. The existing charging detection equipment is the superposition of functions, namely the functions of two circuit boards of an automobile battery charger and an automobile battery detector are integrated on the same circuit board, namely two functions are realized by one equipment. However, such a charging detection device is an integrated function in the application process, and cannot provide management and guidance for vehicle battery maintenance, for example, a maintenance plan is customized for a vehicle battery in combination with problems such as use conditions, loss conditions, and battery health conditions, and a user is actively reminded to respond to the operation of the maintenance plan, so as to complete the work of vehicle battery detection, vehicle battery charging, and the like.
Disclosure of Invention
The invention mainly aims to provide an automobile battery intelligent management method, an automobile battery intelligent management system and a computer readable storage medium thereof, and aims to solve the technical problem that the existing automobile battery is lack of intelligent battery maintenance guidance.
In order to solve the technical problem, the invention provides an intelligent management method for an automobile battery, which comprises the following steps:
starting from an initial state of the automobile, detecting and recording the battery health degree X and the battery life value Y before and after each charging of the automobile, and recording the charging time T and the charging times F each time;
calculating the remaining charging times Fx, the charging efficiency H and the estimated charging time Tx of the automobile according to the battery health degree X, the battery life value Y, the charging time T and the charging times F;
when the automobile is in a flameout and placed state, detecting the residual battery capacity C1 when the automobile is flameout, the residual battery capacity C2 before restarting and flameout duration D;
calculating dark current daily consumption efficacy V of the vehicle-mounted electric appliance according to the residual battery capacity C1, the residual battery capacity C2 and the flameout duration DDark currentAnd the electricity consumption time D of the vehicle-mounted electric applianceConsumption of；
According to the residual charging times Fx, the charging efficiency H, the estimated charging time Tx and the dark current daily consumption efficacy V of the vehicle-mounted electrical applianceDark currentAnd the electricity consumption time D of the vehicle-mounted electric applianceConsumption ofAnd prompting a user to perform battery maintenance or intelligently execute an automobile battery maintenance plan.
Further, after the steps of detecting and recording the battery health degree X and the battery life value Y before and after each charging of the automobile, and recording the charging time T and the charging times F each time, the method comprises the following steps:
calculating a battery health decay efficiency V when the battery life value Y changes, wherein,
charge decay rate VCharging device：{(XN-XN-1)+(XN-2-XN-3)+...+(X2-X1)}/FN
Discharge decay rate VPut：{(XN+1-XN)+(XN-1-XN-2)+...+(X3-X2)}/FN
Attenuation efficiency of battery health degree V ═ VCharging device+VPut)/(FN-F1)
When the life value Y of the battery is changed for a plurality of times, the health degree attenuation efficiencies V1, V2, V3 and V4.M；
Calculating a remaining charge number Fx, (100-Y) according to the battery health decay efficiencyAt present)/{(VM+VM-1+.. + V1)/M }, wherein Y isAt presentIs the current battery life value detected at the time of the calculation.
Further, when the battery health degree X and the battery life value Y before and after each charging of the automobile are detected and recorded, and the charging time T and the charging frequency F of each charging are recorded, the method further includes:
detecting a cold start current value Z before and after each charging of the automobile battery, and comparing the cold start current value Z with a cold start current threshold value Z preset by the automobile batterySign boardComparing, and when the cold start current value Z is smaller than the cold start current threshold value ZSign boardAnd when the automobile is in use, the automobile battery is prompted to be replaced.
Further, the detecting and recording the battery health degree X and the battery life value Y before and after each charging of the automobile, and the recording of each charging time T and the charging frequency F specifically include:
detecting and recording the time T for starting charging of the automobile each time1Ending the charging time T2Degree of health X of battery at the beginning of charging1Battery health degree X for ending charging2Calculating the charging efficiency H of the battery;
charging efficiency H ═ X2-X1)/(T2-T1)。
Further, the step of calculating the remaining number of times of charge Fx, the charging efficiency H, and the estimated charging time Tx of the vehicle according to the battery health degree X, the battery life value Y, the charging time T, and the number of times of charge F includes:
detecting and recording the charging effect of each charging of the automobile batteryRate H1、H2...HNDetecting the current battery health degree XAt presentAnd a charging frequency (F) within which the battery life value Y does not change1-a) Average charging efficiency H ofAverageCalculating the estimated charging time TThis time；
HAverage＝(HF1+HF2+...+HFa)/F1-a；
TThis time＝(100-XAt present)/HAnd (6) averaging.
Further, calculating the estimated charging time TThis timeThe method further comprising:
when the current battery life value Y is detected to be changed, the charging efficiency of the previous time is used for calculating TThis time。
Further, after the steps of detecting and recording the battery health degree X and the battery life value Y before and after each charging of the automobile, and recording the charging time T and the charging times F each time, the method comprises the following steps:
and when the interval time between the detected time and the last charging time T is greater than a preset threshold value, prompting a user to charge the automobile battery.
Further, after the steps of detecting the remaining battery capacity C1 when the vehicle is turned off, the remaining battery capacity C2 before restarting and the key-off duration D when the vehicle is in the key-off placed state, the method includes:
and when detecting that the flameout duration D is greater than a preset threshold value, prompting a user to charge and maintain the automobile battery.
Further, after the step of detecting the remaining battery capacity C1 when the automobile is turned off, the remaining battery capacity C2 before the automobile is restarted, and the key-off duration D, the method comprises the following steps:
calculating the daily consumption efficacy V of dark current of vehicle-mounted electric appliances in the automobile when the automobile is flamed outDark current：
VDark current＝(C2-C1)/D；
According to the current battery residual capacity C1 and daily consumed workEffect VDark currentAnd calculating the electric quantity depletion time D of the vehicle-mounted electric appliance under the condition of the current residual electric quantityConsumption of；
DConsumption of＝(C1-CThreshold value)/VDark current；CThreshold valueIs a threshold of charge for standard batteries to avoid overdischarging.
Based on the same inventive concept, the invention provides an intelligent management system for an automobile battery, which at least comprises a mobile terminal and a charging detection device;
the charging detection equipment is used for detecting and recording the battery health degree X and the battery life value Y before and after each charging of the automobile from the initial state of the automobile, and recording each charging time T and each charging frequency F; meanwhile, when the automobile is placed in a flameout state, the device is used for detecting the residual battery capacity C1 when the automobile is flameout, the residual battery capacity C2 before restarting and flameout duration D;
the mobile terminal calculates the remaining charging times Fx, the charging efficiency H and the estimated charging time Tx of the automobile according to the battery health degree X, the battery life value Y, the charging time T and the charging times F; calculating dark current daily consumption efficacy V of the vehicle-mounted electric appliance according to the residual battery capacity C1, the residual battery capacity C2 and the flameout duration DDark currentAnd the electricity consumption time D of the vehicle-mounted electric applianceConsumption of(ii) a According to the residual charging times Fx, the charging efficiency H, the estimated charging time Tx and the dark current daily consumption efficacy V of the vehicle-mounted electrical applianceDark currentAnd the electricity consumption time D of the vehicle-mounted electric applianceConsumption ofAnd prompting a user to perform battery maintenance or intelligently execute an automobile battery maintenance plan.
Based on the same inventive concept, in another aspect of the present invention, a computer-readable storage medium is provided, on which an intelligent management program for an automobile battery is stored, and when the intelligent management program for an automobile battery is executed by a processor, the steps of the intelligent management method for an automobile battery are implemented.
The technical scheme of the invention has the beneficial effects that:
the application relates to a car electricThe method, the system and the computer readable storage medium for managing the battery intelligently, through detecting the automobile battery checking parameters before and after each charging and uploading the parameters to the mobile terminal, the mobile terminal calculates the residual charging times Fx, the charging efficiency H, the estimated charging time Tx and the daily consumption efficacy V of the dark current of the vehicle-mounted electrical appliance according to the automobile battery detecting parametersDark currentAnd the electricity consumption time D of the vehicle-mounted electric applianceConsumption ofAnd the state parameters are equal, so that a user can be prompted to carry out battery maintenance, or an automobile battery maintenance plan is intelligently generated according to the state parameters, the user is prompted to carry out battery maintenance, or the automobile battery maintenance plan is automatically executed based on an intelligent vehicle machine system, and the service life and the service quality of the automobile battery are remarkably improved.
Drawings
Fig. 1 is a schematic hardware configuration diagram of a mobile terminal implementing various embodiments of the present invention;
fig. 2 is a communication network system architecture diagram provided by an embodiment of the present invention;
FIG. 3 is a flowchart of an intelligent management method for an automobile battery according to an embodiment of the present invention;
FIG. 4 is a block diagram of a hardware structure of an intelligent management system for an automobile battery according to an embodiment of the present invention;
fig. 5 is a block diagram of a hardware structure of a charging detection device according to an embodiment of the present invention;
the implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
In the following description, suffixes such as "unit", "means", or "unit" used to denote elements are used only for facilitating the explanation of the present invention, and have no specific meaning in themselves. Thus, "unit", "means" or "unit" may be used mixedly.
The mobile terminal may be implemented in various forms, for example, the terminal described in the present invention may include a mobile terminal such as a car fault diagnosis apparatus, a mobile phone, a tablet computer, a notebook computer, a palm top computer, a Personal Digital Assistant (PDA), a Portable Media Player (PMP), a navigation device, a wearable device, a smart band, a pedometer, and the like, and a fixed terminal such as a digital TV, a desktop computer, and the like.
The following description will be given by way of example of a mobile terminal, and it will be understood by those skilled in the art that the construction according to the embodiment of the present invention can be applied to a fixed type terminal, in addition to elements particularly used for mobile purposes.
Referring to fig. 1, which is a schematic diagram of a hardware structure of a mobile terminal for implementing various embodiments of the present invention, the mobile terminal 100 may include: RF (radio frequency) unit 101, WiFi unit 102, audio output unit 103, a/V (audio/video) input unit 104, sensor 105, display unit 106, user input unit 107, interface unit 108, memory 109, processor 110, and power supply 111. Those skilled in the art will appreciate that the mobile terminal architecture shown in fig. 1 is not intended to be limiting of mobile terminals, which may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
The following describes each component of the mobile terminal in detail with reference to fig. 1:
the radio frequency unit 101 may be configured to receive and transmit signals during information transmission and reception or during a call, and specifically, receive downlink information of a base station and then process the downlink information to the processor 110; in addition, the uplink data is transmitted to the base station. Typically, radio frequency unit 101 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like. In addition, the radio frequency unit 101 can also communicate with the network and other devices through quick payment of public transportation fees. The above-mentioned rapid payment of public transportation cost may use any communication standard or protocol, including but not limited to GSM (global system for mobile communications), GPRS (general packet radio service), CDMA2000(code division multiple access 2000), WCDMA (wideband code division multiple access), TD-SCDMA (time division-synchronous code division multiple access), FDD-LTE (frequency division duplex-long term evolution), TDD-LTE (time division duplex-long term evolution), and the like.
WiFi belongs to a short-distance wireless transmission technology, and the mobile terminal can help a user send and receive e-mails, browse pages, access streaming media and the like through the WiFi unit 102, and provides wireless broadband internet access for the user. Although fig. 1 shows the WiFi unit 102, it is understood that it does not belong to the essential constitution of the mobile terminal, and may be omitted entirely as needed within the scope not changing the essence of the invention.
The audio output unit 103 may convert audio data received by the radio frequency unit 101 or the WiFi unit 102 or stored in the memory 109 into an audio signal and output as sound when the mobile terminal 100 is in a call signal reception mode, a call mode, a recording mode, a voice recognition mode, a broadcast reception mode, or the like. Also, the audio output unit 103 may also provide audio output related to a specific function performed by the mobile terminal 100 (e.g., a call signal reception sound, a message reception sound, etc.). The audio output unit 103 may include a speaker, a buzzer, and the like.
The a/V input unit 104 is used to receive audio or video signals. The a/V input unit 104 may include a Graphics Processor (GPU) 1041 and a microphone 1042, the graphics processor 1041 processing image data of still pictures or video obtained by an image capturing device (e.g., a camera) in a video capturing mode or an image capturing mode. The processed image frames may be displayed on the display unit 106. The image frames processed by the graphics processor 1041 may be stored in the memory 109 (or other storage medium) or transmitted via the radio frequency unit 101 or the WiFi unit 102. The microphone 1042 may receive sounds (audio data) via the microphone 1042 in a phone call mode, a recording mode, a voice recognition mode, or the like, and may be capable of processing such sounds into audio data. The processed audio (voice) data may be converted into a format output transmittable to a mobile communication base station via the radio frequency unit 101 in case of a phone call mode. The microphone 1042 may implement various types of noise cancellation (or suppression) algorithms to cancel (or suppress) noise or interference generated in the course of receiving and transmitting audio signals.
The mobile terminal 100 also includes at least one sensor 105, such as a light sensor, a motion sensor, and other sensors. Specifically, the light sensor includes an ambient light sensor that can adjust the brightness of the display panel 1061 according to the brightness of ambient light, and a proximity sensor that can turn off the display panel 1061 and/or a backlight when the mobile terminal 100 is moved to the ear. As one of the motion sensors, the accelerometer sensor can detect the magnitude of acceleration in each direction (generally, three axes), can detect the magnitude and direction of gravity when stationary, and can be used for applications of recognizing the posture of a mobile phone (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), vibration recognition related functions (such as pedometer and tapping), and the like; as for other sensors such as a fingerprint sensor, a pressure sensor, an iris sensor, a molecular sensor, a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, which can be configured on the mobile phone, further description is omitted here.
The display unit 106 is used to display information input by a user or information provided to the user. The display unit 106 may include a display panel 1061, and the display panel 1061 may be configured in the form of a Liquid Crystal Display (LCD), an organic light-emitting diode (OLED), or the like.
The user input unit 107 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the mobile terminal. Specifically, the user input unit 107 may include a touch panel 1071 and other input devices 1072. The touch panel 1071, also referred to as a touch screen, may collect a touch operation performed by a user on or near the touch panel 1071 (e.g., an operation performed by the user on or near the touch panel 1071 using a finger, a stylus, or any other suitable object or accessory), and drive a corresponding connection device according to a predetermined program. The touch panel 1071 may include two parts of a touch detection device and a touch controller. The touch detection device detects the touch direction of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts the touch information into touch point coordinates, sends the touch point coordinates to the processor 110, and can receive and execute commands sent by the processor 110. In addition, the touch panel 1071 may be implemented in various types, such as a resistive type, a capacitive type, an infrared ray, and a surface acoustic wave. In addition to the touch panel 1071, the user input unit 107 may include other input devices 1072. In particular, other input devices 1072 may include, but are not limited to, one or more of a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, a mouse, a joystick, and the like, and are not limited to these specific examples.
Further, the touch panel 1071 may cover the display panel 1061, and when the touch panel 1071 detects a touch operation thereon or nearby, the touch panel 1071 transmits the touch operation to the processor 110 to determine the type of the touch event, and then the processor 110 provides a corresponding visual output on the display panel 1061 according to the type of the touch event. Although the touch panel 1071 and the display panel 1061 are shown in fig. 1 as two separate components to implement the input and output functions of the mobile terminal, in some embodiments, the touch panel 1071 and the display panel 1061 may be integrated to implement the input and output functions of the mobile terminal, and is not limited herein.
The interface unit 108 serves as an interface through which at least one external device is connected to the mobile terminal 100. For example, the external device may include a wired or wireless headset port, an external power supply (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device having an identification unit, an audio input/output (I/O) port, a video I/O port, an earphone port, and the like. The interface unit 108 may be used to receive input (e.g., data information, power, etc.) from external devices and transmit the received input to one or more elements within the mobile terminal 100 or may be used to transmit data between the mobile terminal 100 and external devices.
The memory 109 may be used to store software programs as well as various data. The memory 109 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 by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. Further, the memory 109 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 volatile solid state storage device.
The processor 110 is a control center of the mobile terminal, connects various parts of the entire mobile terminal using various interfaces and lines, performs various functions of the mobile terminal and processes data by operating or executing software programs and/or units stored in the memory 109 and calling data stored in the memory 109, thereby monitoring the mobile terminal as a whole. Processor 110 may include one or more processing units; preferably, the processor 110 may integrate an application processor, which mainly processes an operating system, a user interface, an application program, and the like, and a modem processor, which mainly processes a quick payment of public transportation fees. It will be appreciated that the modem processor described above may not be integrated into the processor 110.
The mobile terminal 100 may further include a power supply 111 (e.g., a battery) for supplying power to various components, and preferably, the power supply 111 may be logically connected to the processor 110 via a power management system, so as to manage charging, discharging, and power consumption management functions via the power management system.
Although not shown in fig. 1, the mobile terminal 100 may further include a bluetooth unit or the like, which is not described in detail herein.
In order to facilitate understanding of the embodiments of the present invention, a communication network system on which the mobile terminal of the present invention is based is described below.
Referring to fig. 2, fig. 2 is an architecture diagram of a communication network system according to an embodiment of the present invention, where the communication network system is an LTE system of a universal mobile telecommunications technology, and the LTE system includes a UE (user equipment) 201, an E-UTRAN (evolved UMTS terrestrial radio access network) 202, an EPC (evolved packet core) 203, and an IP service 204 of an operator, which are in communication connection in sequence.
Specifically, the UE201 may be the terminal 100 described above, and is not described herein again.
The E-UTRAN202 includes eNodeB2021 and other eNodeBs 2022, among others. Among them, the eNodeB2021 may be connected with other eNodeB2022 through backhaul (e.g., X2 interface), the eNodeB2021 is connected to the EPC203, and the eNodeB2021 may provide the UE201 access to the EPC 203.
The EPC203 may include an MME (mobility management entity) 2031, an HSS (home subscriber server) 2032, other MMEs 2033, an SGW (serving gateway) 2034, a PGW (pdgataway, packet data network gateway) 2035, and a PCRF (policy and charging function entity) 2036, and the like. The MME2031 is a control node that handles signaling between the UE201 and the EPC203, and provides bearer and connection management. HSS2032 is used to provide registers to manage functions such as home location register (not shown) and holds subscriber specific information about service characteristics, data rates, etc. All user data may be sent through SGW2034, PGW2035 may provide IP address assignment for UE201 and other functions, and PCRF2036 is a policy and charging control policy decision point for traffic data flow and IP bearer resources, which selects and provides available policy and charging control decisions for a policy and charging enforcement function (not shown).
Although the LTE system is described as an example, it should be understood by those skilled in the art that the present invention is not limited to the LTE system, but may also be applied to other quick payment systems for public transportation fees, such as GSM, CDMA2000, WCDMA, TD-SCDMA, and future new network systems, and the like.
The embodiments of the method of the present invention are proposed based on the hardware structure of the mobile terminal 100 and the communication network system.
Example 1
As shown in fig. 3, an embodiment of the present invention provides an intelligent management method for an automobile battery, where the method includes:
s101, starting from an initial state of the automobile, detecting and recording the health degree X and the life value Y of the battery before and after each charging of the automobile, and recording the charging time T and the charging times F each time;
specifically, from the first charging of the automobile, a positive and negative current clamp connected with an output unit in the automobile charging detection equipment is connected with the positive and negative electrodes of the automobile battery; recording current battery health degree X when detecting automobile by detection unit1Current battery life value Y1The current cold start current value Z, the time T for starting charging of the automobile when charging is needed or started1And recording the health degree X of the battery at the moment after the charging unit is charged2And a battery life value Y2Ending the charging time T2Current number of charges F1(ii) a These data detected by the detection unit are recorded and stored by the storage unit and are synchronized with the mobile terminal APP.
When the automobile needs or is ready to be detected/charged after use, the current battery health degree X detected by the detection unit is recorded3Current battery life value Y3The current cold start current value Z; if charging is performed at this time, the charging start time T is recorded again1Degree of health of battery X at the time of completion of charging4And a battery life value Y4Ending the charging time T2Current number of charges F2(ii) a And synchronizes again with the mobile terminal APP.
In the process of cycle charging, battery detection parameters of each time are recorded and uploaded to the mobile terminal APP, and after the mobile terminal APP receives the battery detection parameters, data analysis is started.
S102, calculating the remaining charging times Fx, the charging efficiency H and the estimated charging time Tx of the automobile according to the battery health degree X, the battery life value Y, the charging time T and the charging times F;
specifically, when the battery life value Y changes, the battery health degree attenuation efficiency V is calculated, wherein,
charge decay rate VCharging device：{(XN-XN-1)+(XN-2-XN-3)+...+(X2-X1)}/FN
Discharge decay rate VPut：{(XN+1-XN)+(XN-1-XN-2)+...+(X3-X2)}/FN
Attenuation efficiency of battery health degree V ═ VCharging device+VPut)/(FN-F1)
When the life value Y of the battery is changed for a plurality of times, the health degree attenuation efficiencies V1, V2, V3 and V4.M；
Calculating a remaining charge number Fx, (100-Y) according to the battery health decay efficiencyAt present)/{(VM+VM-1+.. + V1)/M }, wherein Y isAt presentIs the current battery life value detected at the time of the calculation.
And with the above-mentioned result lead to APP long-range display element who throws charging detection equipment to the suggestion user needs suitably to maintain the battery, thereby avoids fully to put and influence the life-span of battery fully.
Specifically, the time T for starting charging of the automobile every time is detected and recorded1Ending the charging time T2Degree of health X of battery at the beginning of charging1Battery health degree X for ending charging2Calculating the charging efficiency H of the battery;
charging efficiency H ═ X2-X1)/(T2-T1)；
Detecting and recording charging efficiency H of each charging of automobile battery1、H2...HNDetecting the current battery health degree XAt presentAnd a charging frequency (F) within which the battery life value Y does not change1-a) Average charging efficiency H ofAverageCalculating the estimated charging time TThis time；
HAverage＝(HF1+HF2+...+HFa)/F1-a；
TThis time＝(100-XAt present)/HAnd (6) averaging.
Optionally, calculating the estimated charging time TThis timeThe method further comprising:
when the current battery life value Y is detected to be changed, the charging efficiency of the previous time is used for calculating TThis time。
When the battery is about to reach the charging time or the battery is about to rush to the rated charge threshold CRated valueDuring the time, long-range APP reminds the user to be about to accomplish and to charge and can use to forward MCU through the communication unit, MCU passes through the signaling unit after receiving the suggestion and orders for the display element, and the display element shows appointed light and finishes in order to indicate to charge, and simultaneously, MCU open circuit finishes charging, avoids overcharging to cause the damage for the life value of battery.
S103, when the automobile is placed in a flameout state, detecting the residual battery capacity C1 when the automobile is flameout, the residual battery capacity C2 before restarting and flameout duration D;
s104, calculating dark current daily consumption efficacy V of the vehicle-mounted electric appliance according to the residual battery capacity C1, the residual battery capacity C2 and the flameout duration DDark currentAnd the electricity consumption time D of the vehicle-mounted electric applianceConsumption of；
Too many vehicle-mounted electric appliances are not suitable to be used, especially in a flameout state, the loads cannot be continuously used for a long time, and if an anti-theft system is installed on the vehicle, the capacity of the storage battery is increased and the magnitude of dark current is measured. The electric load of the electric appliance can consume the electric quantity in the storage battery, the electric quantity of the storage battery is insufficient and the electricity is insufficient after a long time, and the service life is shortened. When the automobile is turned off, a user can detect the residual battery capacity C1 just after the automobile is turned off through a detection module of the charging detection device, and before the automobile is started next time, the user can detect the current residual battery capacity C2 through the detection module and record the flameout duration D;
specifically, the daily consumption efficacy V of dark current of vehicle-mounted electric appliances in the automobile when the automobile is shut down is calculatedDark current：
VDark current＝(C2-C1)/D；
According to the current battery residual capacity C1 and daily consumption efficacy VDark currentAnd calculating the electric quantity depletion time D of the vehicle-mounted electric appliance under the condition of the current residual electric quantityConsumption of；
DConsumption of＝(C1-CThreshold value)/VDark current；CThreshold valueIs the threshold of the standard battery for avoiding over-discharge, and the over-discharge can occur when the threshold is exceeded, thereby affecting the life value of the battery.
S105, according to the residual charging times Fx, the charging efficiency H, the estimated charging time Tx and the dark current daily consumption effect V of the vehicle-mounted electric applianceDark currentAnd the electricity consumption time D of the vehicle-mounted electric applianceConsumption ofAnd prompting a user to perform battery maintenance or intelligently execute an automobile battery maintenance plan. For example, when the exhaustion time D is calculatedConsumption ofAnd then, generating an automobile battery maintenance plan by the APP:
1. if the vehicle is in a dormant state for more than DConsumption ofIf so, generating a maintenance plan to suggest that the user sleeps after charging, optionally selecting a sleep period (not more than one month), calculating the minimum electric quantity of the battery required by the sleep period, calculating the charging time according to the minimum electric quantity, displaying the charging time to the user, and reminding the user to disconnect the circuit to park the vehicle after the charging time is up;
2. if the vehicle dormancy date does not exceed DConsumption ofThen calculate CThreshold valueThe electric quantity to be kept is calculated according to the calculation mode to avoid the condition that the vehicle is lack of power due to dark current consumption of the vehicle-mounted electric appliance, if the vehicle is required to be charged, the charging time is calculated according to the remote APP to generate a maintenance plan, and if the vehicle is not required to be charged, the user is directly reminded to safely and directly shut down;
3. calculate to remaining in the manner of 2The amount of time that can be taken for dark current consumption is recorded in APP and, if beyond this time the vehicle is not in use or not charged, is near vehicle charge threshold CThreshold valueWhen the automobile maintenance system is used, a maintenance plan is generated, the user is reminded of charging the automobile through the APP, and further the automobile can be timely stored with electricity before being used next time, so that the problem that the automobile needs to be used temporarily is solved.
Optionally, when the battery health degree X and the battery life value Y before and after each charging of the automobile are detected and recorded, and the charging time T and the charging frequency F of each charging are recorded, the method further includes:
detecting a cold start current value Z before and after each charging of the automobile battery, and comparing the cold start current value Z with a cold start current threshold value Z preset by the automobile batterySign boardComparing, and when the cold start current value Z is smaller than the cold start current threshold value ZSign boardAnd when the automobile is in use, the automobile battery is prompted to be replaced.
When the detection unit detects the battery, in addition to the above information, the detection unit can also detect a cold start current value Z (CCA value) of the battery, so as to determine whether the current output capability of the battery can start the vehicle, and can sequentially determine whether the charging unit needs to be accessed for charging. Different batteries correspond to different standard CCA values (the CCA standard value of the battery is indicated on a common vehicle battery and can be manually input in a remote APP).
After an output unit of the charging detection equipment is connected with the automobile battery through the positive and negative current clamps, the detection unit can start to detect the state of the battery;
optionally, when the remaining battery capacity C1 or the remaining battery capacity C2 is lower than the rated capacity threshold CRated valueAnd meanwhile, the user is promoted to charge. The detection unit detects the residual capacity of the battery, and if the residual capacity of the battery is below a threshold value, a user is reminded to charge the battery; (the CAA values tested at this time also deviate). Specifically, when the cold-start current value Z is smaller than the cold-start current threshold value ZSign boardAnd the residual battery capacity C1 or the residual battery capacity C2 is lower than the rated capacity threshold CRated valueAnd when the automobile is in use, the automobile battery is prompted to be replaced. In the case of full power, detectingThe CCA value of the battery is detected by the unit, if the CCA value is lower than the CCA standard value, the service life of the battery becomes low, if the CCA value is lower than the CCA threshold value, the battery characteristic cannot meet the requirement that the battery needs to be replaced when the battery is normally started, and at the moment, the user is reminded to replace the battery.
Optionally, when the cold-start current value Z is smaller than the cold-start current threshold value ZSign boardAnd after the step of prompting to replace the automobile battery, the method further comprises the following steps:
the cold starting current value Z of the automobile battery is detected again after the automobile battery is replaced and is smaller than the cold starting current threshold value ZSign boardJudging the cold start current value Z and the cold start current threshold value ZSign boardWhether the two are matched; meanwhile, the cold starting current value Z and the cold starting current threshold value Z of the automobile battery identification after replacement are judgedSign boardWhether there is a match.
After a user replaces the battery, whether the replaced battery is matched with the vehicle starting CCA threshold value or not can be detected, and if the replaced battery is not matched with the vehicle starting CCA threshold value, the problem of the replaced battery is solved; and further detecting whether the CCA value of the replaced battery is matched with the standard CCA value identified on the battery, if not, indicating that the battery has problems, and if so, the battery has quality defects or has some internal faults.
Optionally, after the steps of detecting and recording the battery health degree X and the battery life value Y before and after each charging of the vehicle, and recording the charging time T and the charging frequency F each time, the method includes:
and when the interval time between the detected time and the last charging time T is greater than a preset threshold value, prompting a user to charge the automobile battery.
Optionally, after the steps of detecting the remaining battery capacity C1 when the vehicle is turned off, the remaining battery capacity C2 before restarting, and the key-off duration D when the vehicle is in the key-off placed state, the method includes:
and when detecting that the flameout duration D is greater than a preset threshold value, prompting a user to charge and maintain the automobile battery.
For example, the APP monitors the last charging time T recorded and the current time is 20 days, a charging plan is made, the APP pushing function is used for informing the user, the APP forced reminding function is used for reminding the user to charge the automobile when the time is 30 days, and the influence of the automobile power shortage on the automobile life value is avoided.
The vehicle is not used for a long time, the electric quantity is supplemented by charging once in at least about one month, or the electric quantity is supplemented temporarily once the vehicle is got off, otherwise, the storage battery is in a power-lack state and can be damaged quickly.
Example 2
As shown in fig. 4, an embodiment of the present invention further provides an intelligent management system for an automobile battery, where the system at least includes a mobile terminal 100 and a charging detection device 200; the charge detection device 200 is connected to an automobile battery 300.
The charging detection device 200 is used for detecting and recording the battery health degree X and the battery life value Y before and after each charging of the automobile from the initial state of the automobile, and recording each charging time T and charging times F; meanwhile, when the automobile is placed in a flameout state, the device is used for detecting the residual battery capacity C1 when the automobile is flameout, the residual battery capacity C2 before restarting and flameout duration D;
the mobile terminal 100 calculates the remaining charging times Fx, the charging efficiency H and the estimated charging time Tx of the vehicle according to the battery health degree X, the battery life value Y, the charging time T and the charging times F; calculating dark current daily consumption efficacy V of the vehicle-mounted electric appliance according to the residual battery capacity C1, the residual battery capacity C2 and the flameout duration DDark currentAnd the electricity consumption time D of the vehicle-mounted electric applianceConsumption of(ii) a According to the residual charging times Fx, the charging efficiency H, the estimated charging time Tx and the dark current daily consumption efficacy V of the vehicle-mounted electrical applianceDark currentAnd the electricity consumption time D of the vehicle-mounted electric applianceConsumption ofAnd prompting a user to perform battery maintenance or intelligently execute an automobile battery maintenance plan.
As shown in fig. 5, one end of the charging detection device 200 according to the embodiment of the present invention is connected to a load through positive and negative current clamps, and the charging detection device is built with an MCU processor 210, a detection unit 220, a charging unit 230, an input unit 250, an output unit 260, a storage unit 240, a signal transmission unit 270, a wireless communication unit 280, and a display unit 290; remote APP and charge check out test set pass through the wireless connection mode and interact, realize the performance state of remote monitoring car battery to combine this performance state can give charge plan, maintenance plan.
And an input unit 250 connected to the ac power, and supplied with power from the public power to the charge detection apparatus 200.
And the output unit 260 is connected with the battery load through the positive and negative current clamps and transmits the current to the battery load.
After the input unit 250 and the output unit 260 are connected to the public power and the battery load, the display unit 290 may select the detection mode and the charging mode through the display screen after the charging detection device 200 is powered on, and the selection may be performed by touch and click selection through the touch screen of the display screen or may be implemented by hardware buttons of the device.
The signal transmission unit 270 transmits a signal to the MCU processor 210 or other units after the user selects a corresponding mode or in response to an instruction from the MCU processor 210.
The wireless communication unit 280 is connected with the remote client APP in a wireless manner to realize that the remote client APP can remotely monitor the performance state of the charging detection device 200, and the wireless manner is to bind the charging detection device 200 through the remote client APP.
A detection unit 220 including a battery health degree test unit and a charging state test unit; the battery health degree can test the health value (percentage of the remaining electric quantity of the current electric quantity), the life value (percentage of the current electric quantity to the outgoing capacity), the internal resistance value of the battery and the cold start current value of the battery; the charging state testing unit can test a charging test, a starting test and a ripple test; after receiving the instruction, detecting relevant parameters of the battery, reminding the battery through a display unit, and simultaneously sending detailed parameters to a remote APP;
the MCU processor 210 controls the operation of the whole device, and transmits the instruction to the next unit through the signal transmission unit 270 to implement the operation;
the charging unit 230 comprises an AD-DC conversion device, public electricity is transmitted to the AD-DC conversion device through the input unit 250, alternating current is converted into direct current through the AD-DC conversion device and then transmitted to the output unit, and the output unit transmits the current to the automobile battery through the positive and negative current clamps so as to complete the charging process. And charging the automobile battery after receiving the instruction and/or when detecting that the automobile battery needs to be charged. In the charging process and the detection process, an anti-reverse connection circuit, a protection circuit and the like are used for protection (belonging to the conventional technology).
The storage unit 240 reads the actions and values of the detection unit 220 and the charging unit 230 during operation and stores the actions and values in the storage unit, and partial data can be retrieved according to rules before the next use.
Example 3
The embodiment of the invention provides a computer-readable storage medium, wherein an automobile battery intelligent management program is stored on the computer-readable storage medium, and when being executed by a processor, the automobile battery intelligent management program realizes the steps of the automobile battery intelligent management method.
According to the intelligent management method and system for the automobile battery and the computer readable storage medium thereof, the automobile battery inspection parameters before and after each charging are detected and uploaded to the mobile terminal, and the mobile terminal calculates the residual charging times Fx, the charging efficiency H, the estimated charging time Tx and the daily consumption efficacy V of the dark current of the vehicle-mounted electric appliance according to the automobile battery inspection parameters to obtain the residual charging times Fx, the estimated charging time Tx and the daily consumption efficacy V of the dark current of the vehicle-mounted electric applianceDark currentAnd the electricity consumption time D of the vehicle-mounted electric applianceConsumption ofAnd the state parameters are equal, so that a user can be prompted to carry out battery maintenance, or an automobile battery maintenance plan is intelligently generated according to the state parameters, the user is prompted to carry out battery maintenance, or the automobile battery maintenance plan is automatically executed based on an intelligent vehicle machine system, and the service life and the service quality of the automobile battery are remarkably improved.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (13)
1. An intelligent management method for an automobile battery is characterized by comprising the following steps:
starting from an initial state of the automobile, detecting and recording the battery health degree X and the battery life value Y before and after each charging of the automobile, and recording the charging time T and the charging times F each time;
calculating the remaining charging times Fx, the charging efficiency H and the estimated charging time Tx of the automobile according to the battery health degree X, the battery life value Y, the charging time T and the charging times F;
when the automobile is in a flameout and placed state, detecting the residual battery capacity C1 when the automobile is flameout, the residual battery capacity C2 before restarting and flameout duration D;
calculating dark current daily consumption efficacy V of the vehicle-mounted electric appliance according to the residual battery capacity C1, the residual battery capacity C2 and the flameout duration DDark currentAnd the electricity consumption time D of the vehicle-mounted electric applianceConsumption of；
According to the residual charging times Fx, the charging efficiency H, the estimated charging time Tx and the dark current daily consumption efficacy V of the vehicle-mounted electrical applianceDark currentAnd the electricity consumption time D of the vehicle-mounted electric applianceConsumption ofAnd prompting a user to perform battery maintenance or intelligently execute an automobile battery maintenance plan.
2. The intelligent management method for the automobile battery according to claim 1, wherein after the steps of detecting and recording the battery health degree X and the battery life value Y before and after each charging of the automobile, and recording the charging time T and the charging times F each time, the method comprises the following steps:
calculating a battery health decay efficiency V when the battery life value Y changes, wherein,
charge decay rate VCharging device：{(XN-XN-1)+(XN-2-XN-3)+...+(X2-X1)}/FN
Discharge decay rate VPut：{(XN+1-XN)+(XN-1-XN-2)+...+(X3-X2)}/FN
Attenuation efficiency of battery health degree V ═ VCharging device+VPut)/(FN-F1)
When the life value Y of the battery continuously changes for a plurality of times, the health attenuation efficiencies V1, V2, V3 and V4. are sequentially calculatedM；
Calculating a remaining charge number Fx, (100-Y) according to the battery health decay efficiencyAt present)/{(VM+VM-1+.. + V1)/M }, wherein Y isAt presentIs the current battery life value detected at the time of the calculation.
3. The intelligent management method for the automobile battery according to claim 1, further comprising:
detecting a cold start current value Z before and after each charging of the automobile battery, and comparing the cold start current value Z with a cold start current threshold value Z preset by the automobile batterySign boardComparing, and when the cold start current value Z is smaller than the cold start current threshold value ZSign boardAnd when the automobile is in use, the automobile battery is prompted to be replaced.
4. The intelligent management method for automobile batteries according to claim 3, characterized in that when the cold-start current value Z is smaller than a cold-start current threshold value Z, the method further comprises:
when the residual battery capacity C1 or the residual battery capacity C2 is lower than the rated capacity threshold CRated valueAnd meanwhile, the user is promoted to charge.
5. The intelligent management method for automobile batteries according to claim 3, characterized in that when the cold start current value Z is smaller than the cold start current threshold value ZSign boardIn time, the suggestion is changed car battery and specifically includes:
when the cold start current value Z is smaller than the cold start current threshold value ZSign boardAnd the residual battery capacity C1 or the residual battery capacity C2 is lower than the rated capacity threshold CRated valueAnd when the automobile is in use, the automobile battery is prompted to be replaced.
6. The intelligent management method for automobile batteries according to claim 3, characterized in that when the cold start current value Z is smaller than the cold start current threshold value ZSign boardAnd after the step of prompting to replace the automobile battery, the method further comprises the following steps:
the cold starting current value Z of the automobile battery is detected again after the automobile battery is replaced and is smaller than the cold starting current threshold value ZSign boardJudging the cold start current value Z and the cold start current threshold value ZSign boardWhether the two are matched; meanwhile, the cold starting current value Z and the replaced automobile battery mark are judgedCold start current threshold value ZSign boardWhether there is a match.
7. The intelligent management method for the automobile battery according to claim 1, wherein the detecting and recording the battery health degree X and the battery life value Y before and after each charging of the automobile, and the recording the charging time T and the charging frequency F each time specifically comprises:
detecting and recording the time T for starting charging of the automobile each time1Ending the charging time T2Degree of health X of battery at the beginning of charging1Battery health degree X for ending charging2Calculating the charging efficiency H of the battery;
charging efficiency H ═ X2-X1)/(T2-T1)；
Detecting and recording charging efficiency H of each charging of automobile battery1、H2...HNDetecting the current battery health degree XAt presentAnd a charging frequency (F) within which the battery life value Y does not change1-a) Average charging efficiency H ofAverageCalculating the estimated charging time TThis time；
HAverage＝(HF1+HF2+...+HFa)/F1-a；
TThis time＝(100-XAt present)/HAverage。
8. The intelligent management method for automobile batteries according to claim 7, wherein said calculating of the estimated charging time T is performed at this timeThis timeThe method further comprising:
when the current battery life value Y is detected to be changed, the charging efficiency of the previous time is used for calculating TThis time。
9. The intelligent management method for the automobile battery according to claim 1, wherein after the steps of detecting and recording the battery health degree X and the battery life value Y before and after each charging of the automobile, and recording the charging time T and the charging times F each time, the method comprises the following steps:
and when the interval time between the detected time and the last charging time T is greater than a preset threshold value, prompting a user to charge the automobile battery.
10. The intelligent management method for the automobile battery according to claim 1, wherein after the steps of detecting the remaining battery capacity C1 of the automobile when the automobile is turned off, the remaining battery capacity C2 before restarting and the off duration D when the automobile is in the off-state, the method comprises:
and when detecting that the flameout duration D is greater than a preset threshold value, prompting a user to charge and maintain the automobile battery.
11. The intelligent management method for the automobile battery according to claim 1, wherein after the steps of detecting the residual battery capacity C1 when the automobile is turned off, the residual battery capacity C2 before restarting and the key-off duration D, the method comprises the following steps:
calculating the daily consumption efficacy V of dark current of vehicle-mounted electric appliances in the automobile when the automobile is flamed outDark current：
VDark current＝(C2-C1)/D；
According to the current battery residual capacity C1 and daily consumption efficacy VDark currentAnd calculating the electric quantity depletion time D of the vehicle-mounted electric appliance under the condition of the current residual electric quantityConsumption of；
DConsumption of＝(C1-CThreshold value)/VDark current；CThreshold valueIs a threshold of charge for standard batteries to avoid overdischarging.
12. An intelligent management system for an automobile battery is characterized by at least comprising a mobile terminal and a charging detection device;
the charging detection equipment is used for detecting and recording the battery health degree X and the battery life value Y before and after each charging of the automobile from the initial state of the automobile, and recording each charging time T and each charging frequency F; meanwhile, when the automobile is placed in a flameout state, the device is used for detecting the residual battery capacity C1 when the automobile is flameout, the residual battery capacity C2 before restarting and flameout duration D;
the mobile terminal calculates the remaining charging times Fx, the charging efficiency H and the estimated charging time Tx of the automobile according to the battery health degree X, the battery life value Y, the charging time T and the charging times F; calculating dark current daily consumption efficacy V of the vehicle-mounted electric appliance according to the residual battery capacity C1, the residual battery capacity C2 and the flameout duration DDark currentAnd the electricity consumption time D of the vehicle-mounted electric applianceConsumption of(ii) a According to the residual charging times Fx, the charging efficiency H, the estimated charging time Tx and the dark current daily consumption efficacy V of the vehicle-mounted electrical applianceDark currentAnd the electricity consumption time D of the vehicle-mounted electric applianceConsumption ofAnd prompting a user to perform battery maintenance or intelligently execute an automobile battery maintenance plan.
13. A computer-readable storage medium, wherein the computer-readable storage medium stores thereon an intelligent management program for a vehicle battery, and when the intelligent management program is executed by a processor, the intelligent management method for a vehicle battery according to any one of claims 1 to 11 is implemented.
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