System and method for monitoring electrical power of a vehicle

Abstract

A system and method for monitoring power of a vehicle may monitor a state of charge of a battery of the vehicle and may notify a customer of the state and its response. A system for monitoring power of a vehicle may include: a processor; and a storage medium having recorded therein one or more programs configured to be executable by the processor. The processor may execute one or more programs to: store power consumption data for each preset vehicle state; calculating an expected discharge time of a battery of the vehicle based on the power consumption data classified by the preset electrical device and the stored power consumption data; and displaying the power consumption data of the electrical device and the expected discharge time of the battery.

Description

Technical Field

[0001] The present disclosure relates to systems and methods for monitoring electrical power in a vehicle. Background Art

[0002] Dashcams, which have rapidly become popular in the secondary market in recent years, are very popular among drivers because they can provide important evidence to determine fault in the event of an accident.

[0003] Dashcams are useful in the event of damage or collision with moving and parked vehicles, but operating the camera in a parked vehicle may present the following problem: the vehicle's battery may be discharged due to the current draw of the dashcam. Summary of the Invention

[0004] One aspect of the present disclosure provides a system and method for monitoring a vehicle power source, which can monitor the charging status of a vehicle's battery and can notify a customer of the status and a response thereto.

[0005] According to an embodiment of the present disclosure, a system for monitoring the power of a vehicle may include: a processor; and a storage medium having recorded therein one or more programs configured to be executed by the processor. The processor may execute the one or more programs to: store power consumption data for each preset vehicle state; calculate an expected discharge time of the vehicle's battery based on the power consumption data categorized by preset electrical devices and the stored power consumption data (e.g., by calculating the expected discharge time of the vehicle's battery from the stored power consumption data and the power consumption data categorized by preset electrical devices); and display the power consumption data of the electrical devices and the expected discharge time of the battery.

[0006] According to another embodiment, a system for monitoring vehicle power may include: a processor; and a storage medium having one or more programs recorded thereon configured to be executed by the processor, wherein the one or more programs are executable by the processor. The processor may execute the one or more programs to: store power consumption data for each preset vehicle state; determine, based on the stored power consumption data, whether the charge rate and charging time of the vehicle's battery are insufficient; calculate a customer's driving pattern; guide a battery management plan based on the calculated customer's driving pattern; and recommend that the battery enter a battery protection mode.

[0007] A method for monitoring vehicle power according to an embodiment may be executed on a computing device including a processor and a storage medium having one or more programs recorded therein configured to be executed by the processor. The method may include: storing power consumption data for each preset vehicle state; calculating the expected discharge time of the vehicle's battery by calculating power data (e.g., power consumption data) categorized by preset electrical devices from the stored data in the storing step; and displaying the power consumption data of the electrical devices and the expected discharge time of the battery calculated in the calculating step.

[0008] According to another embodiment, a method for monitoring vehicle power can be executed on a computing device including a processor and a storage medium having one or more programs recorded therein configured to be executed by the processor. The method may include: storing power consumption data for each preset vehicle state; determining, based on the stored data in the storing step, that the charge rate and charging time of the vehicle's battery are insufficient; calculating a customer's driving pattern; guiding a battery management plan based on the customer's driving pattern calculated in the calculating step; and recommending that the battery enter a battery protection mode.

[0009] According to an embodiment of the present disclosure, by maintaining an appropriate battery charge amount and monitoring whether periodic charging is performed, it is possible to increase battery life by notifying a customer of a condition under which battery durability can be maintained for a long period of time. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] The above and other aspects, features and advantages of the present disclosure will be more clearly understood through the following detailed description taken in conjunction with the accompanying drawings:

[0011] Figure 1 is a schematic block diagram of a system for monitoring power of a vehicle according to an embodiment of the present disclosure;

[0012] Figure 2 is an operational flowchart schematically illustrating a method for monitoring electric power of a vehicle according to an embodiment of the present disclosure;

[0013] Figure 3 yes Figure 2 FIG. 1 is a detailed operational flowchart of a power data calculation operation in a method for monitoring power of a vehicle according to an embodiment of the present disclosure;

[0014] Figure 4 yes Figure 2 A detailed operational flowchart of an operation of calculating an expected discharge time in a method for monitoring electric power of a vehicle according to an embodiment of the present disclosure is shown;

[0015] Figure 5is a screen for guiding the influence of an electronic device in a system for monitoring electric power of a vehicle according to an embodiment of the present disclosure;

[0016] Figure 6 is a schematic block diagram of a system for monitoring power of a vehicle according to another embodiment of the present disclosure;

[0017] Figure 7 is an operational flowchart schematically illustrating a method for monitoring power of a vehicle according to another embodiment of the present disclosure;

[0018] Figure 8 and Figure 9 yes Figure 7 A detailed operation flow chart of a battery protection service in a method for monitoring power of a vehicle according to another embodiment of the present disclosure is shown;

[0019] Figure 10 is a table showing Figure 7 A dark current minimization mode of a battery protection service in a method for monitoring power of a vehicle according to another embodiment of the present disclosure is shown in FIG;

[0020] Figure 11 is a screen for guiding a battery protection service in a system for monitoring power of a vehicle according to another embodiment of the present disclosure; and

[0021] Figure 12 is a block diagram of a computing device capable of fully or partially implementing a system for monitoring power of a vehicle according to an embodiment of the present disclosure.

[0022] The drawings described herein are for illustration purposes only and are not intended to limit the scope of the present disclosure in any way. DETAILED DESCRIPTION

[0023] Hereinafter, with reference to the accompanying drawings, specific embodiments of the present disclosure are described. The following detailed description is provided to facilitate a comprehensive understanding of the methods, devices, and / or systems described herein. However, this is merely an example and the present disclosure is not limited thereto.

[0024] When describing the embodiments of the present disclosure in detail, if it is determined that a detailed description of known technologies related to the present disclosure would unnecessarily obscure the key points of the present disclosure, the detailed description will be omitted. Furthermore, the terms described below are defined with reference to their functionality within the present disclosure and may vary depending on the intent or practice of the customer or operator. Therefore, their definitions should be based on the entire content of this specification. The terms used in this specification are intended solely to describe the embodiments and are not intended to be limiting. Unless otherwise expressly stated, expressions in the singular include the plural. In this specification, expressions such as "comprise" or "include" are intended to specify a feature, number, step, operation, element, part, or combination thereof. Such terms should not be interpreted as excluding the presence or potential presence of one or more other features, numbers, steps, operations, elements, parts, or combinations thereof. When a component, processor, controller, device, element, unit, or device disclosed in the present disclosure is described as having a certain purpose or performing a certain operation, function, or the like, the component, processor, controller, device, element, unit, or device should be considered herein to be "configured to" satisfy that purpose or perform that operation or function.

[0025] Figure 1 is a schematic block diagram of a system for monitoring power of a vehicle according to an embodiment of the present disclosure.

[0026] Reference Figure 1 , a system 100 for monitoring power of a vehicle according to an embodiment of the present disclosure may include a battery sensor 111 , a first controller 120 , and a second controller 130 .

[0027] The battery sensor 111 can sense information about the power of the vehicle's battery. Therefore, power consumption can be stored according to the preset state of the vehicle equipped with the battery. In this case, power consumption can be classified and stored according to the vehicle's state. For example, power consumption can be classified and stored according to the vehicle's state (e.g., driving, stopping, and parking).

[0028] The first controller 120 may be a vehicle customer relationship management (VCRM) server or a vehicle terminal configured to analyze data to improve vehicle quality and service.

[0029] The first controller 120 can calculate the expected discharge time of the vehicle's battery by calculating power data classified by preset electrical devices from the data stored in the battery sensor 111. The electrical device can be an electrical device in the secondary market, such as a driving recorder.

[0030] The second controller 130 may be an application installed on a customer's mobile phone or a vehicle terminal for checking the vehicle status and receiving various information.

[0031] The second controller 130 may display the calculated power consumption of the electrical device and the expected discharge time of the battery to the customer.

[0032] Figure 2 is an operational flowchart schematically illustrating a method for monitoring electric power of a vehicle according to an embodiment of the present disclosure.

[0033] Reference Figure 2 Together Figure 1 In order to periodically monitor the power state of the vehicle, the battery sensor 111 may classify power consumption according to a preset state of the vehicle provided with a battery and store the power consumption (S111).

[0034] The first controller 120 may periodically collect and store vehicle power status data from the battery sensor 111, and classify the stored power consumption data for each vehicle state according to a preset type (S121). For example, the stored power consumption data for each vehicle state may be classified into a battery charging rate, a charging time, a dark current, and the like. Dark current refers to the current flowing when the vehicle engine is turned off, and may represent, for example, the current consumed from the battery due to the power required for the operation of electrical devices such as a driving recorder, and the power required to receive signals from a smart key or basic operations such as anti-theft. As the amount of dark current increases, the battery discharges faster.

[0035] Then, the first controller 120 may calculate power data classified by electric devices (eg, power consumption data of each electric device) ( S122 ).

[0036] Figure 3 yes Figure 2 FIG. 1 is a detailed operational flowchart of a power data calculation operation in a method for monitoring power of a vehicle according to an embodiment of the present disclosure.

[0037] Reference Figure 2 and Figure 3 , in the operation of calculating power data (S122), the first controller 120 can perform the following operations: determine whether the electrical equipment generates an abnormal dark current (S122a); calculate the abnormal dark current based on the consumption ampere-hours (amperes per hour, Ah) of the abnormal dark current above a preset reference value and the consumption time of the abnormal dark current (S122b); determine whether the calculated abnormal dark current is higher than or equal to a preset appropriate level (S122c); calculate the final abnormal dark current based on the difference between the abnormal dark current and the normal dark current of the vehicle (S122d); and output the calculated final abnormal dark current value or the absence of the final abnormal dark current (S122e and S122f).

[0038] More specifically, the first controller 120 can determine whether the ampere-hour (e.g., 100 mA) of the abnormal dark current generated when the electrical device is applied to the vehicle is higher than or equal to a reference value (S122a), and can calculate the abnormal dark current (S122b) when the ampere-hour is higher than or equal to the reference value.

[0039] The abnormal dark current can be obtained according to the following formula 1.

[0040] Formula 1:

[0041]

[0042] Then, the first controller 120 may determine whether the calculated frequency of occurrence of the abnormal dark current within, for example, 30 days is higher than or equal to a preset appropriate level (S122c). When the frequency is higher than or equal to the preset appropriate level, a final abnormal dark current may be calculated based on the difference between the calculated abnormal dark current and the normal dark current of the vehicle (S122d), and the final abnormal dark current may be output (S122e). When the ampere-hour of the abnormal dark current is less than or equal to the reference value, or the calculated frequency of occurrence of the abnormal dark current is less than or equal to the appropriate level, the first controller 120 may determine that there is no final abnormal dark current.

[0043] Refer again Figure 2 , the first controller 120 may calculate power data classified by electrical devices (eg, power consumption data of each electrical device) and calculate an expected discharge time of a battery of the vehicle ( S123 ).

[0044] Figure 4 yes Figure 2 FIG. 1 is a detailed operational flowchart of an operation of calculating an expected discharge time in a method for monitoring electric power of a vehicle according to an embodiment of the present disclosure.

[0045] Reference Figure 2 and Figure 4 In the operation of calculating the expected discharge time of the battery (S123), the first controller 120 may perform the following operations: receiving the state of charge of the battery (S123a); calculating the expected discharge time of the battery based on the current state of charge of the battery, a preset lower limit state of charge for starting the vehicle, the capacitance of the battery, and a final abnormal dark current (S123b); and outputting the calculated expected discharge time (S123c).

[0046] The first controller 120 may receive the latest state of charge (SoC) of the battery measured by the battery sensor 111 ( S123 a ), and may calculate an expected discharge time of the battery ( S123 b ).

[0047] The first controller 120 may calculate the expected discharge time of the battery according to the following formula 2.

[0048] Formula 2:

[0049]

[0050] The first controller 120 may output the expected discharge time calculated by the above-mentioned Formula 2 ( S123 c ).

[0051] Refer again Figure 2 The second controller 130 may collect the charging rate of the vehicle's battery according to the customer's vehicle status query to display the power consumption of the electrical device and the expected discharge time of the battery calculated by the first controller 120 to the customer (S131 and S132).

[0052] Figure 5 This is a screen for guiding the influence of an electronic device in the system for monitoring electric power of a vehicle according to an embodiment of the present disclosure.

[0053] Reference Figure 5 , when aftermarket electrical equipment (external electrical equipment) is installed in a vehicle, the battery impact and expected discharge time period can be displayed to the customer based on the power consumption of the corresponding vehicle.

[0054] Figure 6 is a schematic block diagram of a system for monitoring power of a vehicle according to another embodiment of the present disclosure.

[0055] Reference Figure 6 , a system 200 for monitoring power of a vehicle according to another embodiment of the present disclosure may include a battery sensor 211 of a vehicle, a vehicle controller 212 , a first controller 220 , and a second controller 230 .

[0056] The battery sensor 211 may sense information about power of a battery of the vehicle.

[0057] The vehicle controller 212 may enter a battery protection mode for protecting the battery under the control of the second controller 230. The vehicle controller 212 may be, for example, an electronic control unit (ECU).

[0058] The first controller 220 may be a vehicle customer relationship management (VCRM) server or a vehicle terminal, which can confirm that a charging rate and a charging time of a battery of a vehicle are insufficient based on stored data and calculate a driving pattern of a customer.

[0059] The second controller 230 may be an application or a vehicle terminal that can guide a battery management plan based on the calculated driving style of the customer and recommend that the battery enter a battery protection mode, and is installed on the customer's mobile phone to check the vehicle status and receive various information.

[0060] Figure 7 is an operational flowchart schematically illustrating a method for monitoring power of a vehicle according to another embodiment of the present disclosure.

[0061] Reference Figure 6 and Figure 7 In order to periodically monitor the power state of the vehicle, the battery sensor 211 may classify power consumption according to a preset state of the vehicle provided with a battery and store the power consumption (S211).

[0062] The first controller 220 may periodically collect and store vehicle power state data from the battery sensor 211, and classify the stored power consumption data for each vehicle state according to a preset type (S221). For example, the stored power consumption data for each vehicle state may be classified into a battery charge rate, a charging time, and a dark current.

[0063] Therefore, the first controller 220 can confirm that the charging rate and charging time of the battery are insufficient based on the stored power consumption data for each vehicle state (S222). The first controller 220 can confirm that the charging rate and charging time of the battery are insufficient based on the state of charge (SoC) of the battery sensed by the battery sensor 211.

[0064] The second controller 230 may collect the charging rate of the vehicle's battery according to the customer's vehicle status query ( S231 ), and may generate a notification warning of insufficient battery charging power when the first controller 220 confirms that the charging rate and charging time of the battery are insufficient ( S232 ).

[0065] Next, the first controller 220 may calculate the customer's driving style within a preset time period (S223). This time period may be the same as the time period used to confirm that the battery's charging rate and charging time are insufficient. In addition, the first controller 220 may receive the average driving style of other customers within the preset time period.

[0066] Thus, the second controller 230 can notify the customer of the customer status and battery management plan (S233). In addition, the second controller 230 can notify the customer of the customer status and battery management plan by comparing the average driving style of other customers, and can control the vehicle controller 212 to enter the dark current minimization mode.

[0067] Figure 8 and Figure 9yes Figure 7 FIG. 1 is a detailed operation flowchart of a battery protection service in a method for monitoring power of a vehicle according to another embodiment of the present disclosure.

[0068] Reference Figure 7 and Figure 8 , the first controller 220 may receive data on the state of charge (SoC) of the battery within a preset time period (S223a). For example, the preset time period may be the past 30 days. Then, the first controller 220 may receive driving data within the preset time period (S223b). Again, for example, the preset time period may be the past 30 days. The driving data may be data when the engine of the vehicle 200 is operating or the motor of the electric vehicle is operating, and the data may be received from sensors or various controllers (not shown) of the vehicle 200. The first controller 220 determines whether the number of cases in which the state of charge (SoC) of the battery is less than or equal to a preset standard and the driving time of the vehicle is less than or equal to the preset standard driving time within the time period is greater than or equal to a preset number of times. For example, the standard may be 65% and the standard driving time may be 10 minutes. This may be set in consideration of the time that the battery can be charged according to driving. The number of times may be set in consideration of battery discharge, charging during driving, etc.

[0069] When the number of situations in which the battery's state of charge (SoC) is below 65% and the vehicle's driving time is below 10 minutes is greater than or equal to a preset number of times according to the determination of the first controller 220, the second controller 230 may notify the customer of a driving recommendation to prevent the vehicle's battery from discharging (S233a); and when the number of situations is less than or equal to the preset number of times, the second controller 230 may notify the customer that the vehicle is normal (S233b).

[0070] Reference Figure 7 and Figure 9 , when the first controller 220 senses that the number of driving recommendations of the second controller 230 is higher than or equal to a preset number of times (for example, more than two times) (S224), the detection result can be sent to the second controller 230, and the second controller 230 can suggest to the customer to enter the battery protection mode (S234). When the customer is allowed to enter the battery protection mode, the second controller 230 can control the vehicle controller 212 to enter the dark current minimization mode to ensure the startability of the vehicle, and can notify the customer through the application of the function limitation problem caused by entering the dark current minimization mode, and its solution and measures (S212a). When the customer is not allowed to enter the battery protection mode, the customer can be notified of the normal mode (S212b).

[0071] Refer again Figure 7When the battery charging rate enters the normal mode (S225), the first controller 220 may send a message to the second controller 230 indicating that the battery charging rate is normal, and the second controller 230 may notify the customer of the release of the battery protection mode (S235). Then, the second controller 230 may control the vehicle controller 212 to release the battery protection mode (not shown).

[0072] Figure 10 is a table showing Figure 7 , a dark current minimization mode of a battery protection service in a method for monitoring power of a vehicle according to another embodiment of the present disclosure is shown in FIG.

[0073] First, the dark current of the vehicle is mainly generated by the operation of customer convenience functions (welcome lights, remote control, etc.) and entry and exit functions (remote key operation) during parking.

[0074] Customer convenience features include a function that limits operation based on the battery's charge rate, while entry and exit functions are important functions for customers, and a shutdown function is not provided because customers may immediately feel inconvenienced. However, for customers who do not use their vehicles frequently and are at risk of battery performance degradation and discharge, an option that maintains battery performance may be useful, even at the expense of performance degradation of some functions.

[0075] Therefore, in the present disclosure, for customers who do not drive vehicles frequently, the following function can be provided: the application can allow customers to select some functional degradations of the vehicle, and after obtaining consent, the relevant content will be notified through the application.

[0076] Although the above-mentioned trade-off between customer convenience and dark current is limited, the present disclosure can address the trade-off by providing choices and guidance to customers through a mobile phone application.

[0077] Reference Figure 10 The battery protection service may include ① increasing the reception time of the vehicle's remote keyless entry (RKE) receiver; ② turning off the low frequency (LF) antenna of the smart key system; and ③ turning off the antenna and low frequency antenna of the vehicle's remote keyless entry (RKE) receiver.

[0078] ① When the reception time of the vehicle's remote keyless entry (RKE) receiver is increased, the operational performance of the remote control key for the vehicle's remote keyless entry (RKE) receiver may deteriorate, which can increase the operation time of the customer's remote control key, for example, changing the operation time from operating when pressed once to operating when pressed for 3 seconds, so that battery power consumption can be reduced, and the effect of the battery protection service can be considered "small".

[0079] In addition, ② when the low-frequency antenna of the smart key system is turned off, the vehicle's smart key, card key and mobile phone key may not be able to operate, which changes the operation method so that the car door can only be operated with the customer's remote control key, so that the effect of the battery protection service can be regarded as "medium".

[0080] Finally, ③ when the antenna and low-frequency antenna of the vehicle's remote keyless entry (RKE) receiver are turned off, all wireless keys in the vehicle become inoperable, and the effect of the battery protection service can be regarded as "large" by changing the operation mode so that the vehicle can only be opened with the vehicle's mechanical key.

[0081] Figure 11 is a screen for guiding a battery protection service in a system for monitoring power of a vehicle according to another embodiment of the present disclosure.

[0082] Reference Figure 11 As described above, in a system for monitoring vehicle power according to another embodiment of the present disclosure, when providing normal guidance, the discharge risk analysis can be displayed as "Good" on the customer's mobile phone app or vehicle terminal. When guiding vehicle operation based on the risk of battery discharge, the discharge risk analysis can be displayed as "Discharge Risk Detected" on the customer's mobile phone app or vehicle terminal to guide vehicle operation. Furthermore, the system can compare the average driving style of other customers to provide the customer with a customer status and battery management plan.

[0083] As described above, according to the present disclosure, appropriate battery power can be maintained, and periodic charging can be monitored, so that a condition in which battery durability can be maintained for a long period of time can be provided to the customer, thereby extending the service life of the battery.

[0084] Figure 12 is a block diagram of a computing device capable of fully or partially implementing a system for monitoring electric power of a vehicle according to an embodiment of the present disclosure, and may be Figure 1 and Figure 6 A system 100 for monitoring electrical power of a vehicle is shown in FIG.

[0085] like Figure 12 As shown, computing device 400 includes at least one processor 401 , a computer-readable storage medium 402 , and a communication bus 403 .

[0086] The processor 401 may cause the computing device 400 to operate according to the above-described embodiments. For example, the processor 401 may execute one or more programs stored in the computer-readable storage medium 402. The one or more programs may include one or more computer-executable instructions, and when executed by the processor 401, the computer-executable instructions may be configured to cause the computing device 400 to perform operations according to the embodiments.

[0087] The computer-readable storage medium 402 is configured to store computer-executable instructions or program code, program data, and / or other information in an appropriate form. The program 402a stored in the computer-readable storage medium 402 includes a set of instructions that can be executed by the processor 401. In an embodiment, the computer-readable storage medium 402 can be a memory (volatile memory such as random access memory, non-volatile memory, or a suitable combination thereof), one or more magnetic disk storage devices, optical disk storage devices, flash memory devices, another storage medium that is accessible by other computing devices 400 and capable of storing required information, or a suitable combination thereof.

[0088] Communication bus 403 may include processor 401 and computer-readable storage medium 402 interconnecting various other components of computing device 400 .

[0089] The computing device 400 may also include one or more input / output interfaces 405 that provide interfaces for one or more input / output devices 404 and one or more network communication interfaces 406. The input / output interface 405 and the network communication interface 406 are connected to the communication bus 403. The input / output device 404 can be connected to other components of the computing device 400 through the input / output interface 405. Exemplary input / output devices 404 may include input devices (such as pointing devices (such as a mouse or trackpad), keyboards, touch input devices (such as touchpads or touch screens), voice or sound input devices, or various types of sensor devices and / or imaging devices), and / or output devices (such as display devices, printers, speakers, and / or network cards). Exemplary input / output devices 404 may be included in the computing device 400 as components included in the computing device 400, or may be independent devices different from the computing device 400 and connected to the computing device 400.

[0090] Embodiments of the present disclosure may include a program for executing the methods described herein on a computer, and a computer-readable recording medium including the program. The computer-readable recording medium may include (alone or in combination) program instructions, local data files, and local data structures. The medium may be specially designed and constructed for the present disclosure, or the medium may be common in the field of computer software. Examples of computer-readable recording media include magnetic media, such as hard disks, floppy disks, and magnetic tapes; optical recording media, such as CD-ROMs and DVDs; and hardware devices specially configured to store and execute program instructions, such as ROM, RAM, and flash memory. Examples of programs may include not only machine language code (such as code generated by a compiler), but also high-level language code that is executable by a computer using an interpreter, etc.

[0091] Although the embodiments of the present disclosure have been described in detail above, it will be understood by those skilled in the art that the exemplary embodiments may be modified in various ways without departing from the scope of the present disclosure. Therefore, the scope of the present disclosure is not limited by the described embodiments, but rather by the appended claims and encompasses equivalents that fall within the scope of the appended claims.

Claims

1. A system for monitoring power of a vehicle, comprising: processor; and a storage medium having recorded therein one or more programs configured to be executable by the processor, The processor is configured to execute the one or more programs to: storing power consumption data for each preset vehicle state; calculating an expected discharge time of a battery of the vehicle based on the power consumption data classified by preset electrical devices and the stored power consumption data; as well as The power consumption data of the electrical device and the expected discharge time of the battery are displayed.

2. The system according to claim 1, wherein: The power consumption data is acquired by a battery sensor of a vehicle and is classified based on the vehicle state.

3. The system according to claim 1, wherein: When the processor executes the one or more programs to calculate the expected discharge time, the processor is configured to execute the one or more programs to: categorizing the stored power consumption data for each preset vehicle state based on a preset type; calculating power consumption data of the electrical device based on the classified power consumption data; as well as An expected discharge time of the battery is calculated based on the current charge rate of the battery.

4. The system according to claim 3, wherein: When the processor executes the one or more programs to calculate power consumption data, the processor is configured to execute the one or more programs to: determining whether the electrical device generates abnormal dark current; Calculating the abnormal dark current based on the ampere-hours (ampere / hour, Ah) of the abnormal dark current consumed above a preset reference value and the time over which the abnormal dark current has been consumed; determining whether the calculated abnormal dark current is higher than or equal to a preset appropriate level; calculating a final abnormal dark current based on a difference between the abnormal dark current and a normal dark current of the vehicle; as well as The calculated final abnormal dark current value is output or the final abnormal dark current does not exist, and When the processor executes the one or more programs to calculate the expected discharge time of the battery, the processor is configured to execute the one or more programs to: Receiving a state of charge (SOC) of the battery; calculating an expected discharge time of the battery based on a current SOC of the battery, a preset lower limit state of charge for starting a vehicle, a capacitance of the battery, and the final abnormal dark current; as well as Outputs the calculated expected discharge time.

5. The system according to claim 3, wherein: When the processor executes the one or more programs to display the power consumption data of the electrical device and the expected discharge time of the battery, the processor is configured to execute the one or more programs to: Collect the charge rate of the vehicle's battery; displaying the power consumption data of the electrical device based on the calculated power consumption data; as well as Displays the expected discharge time of the battery caused by the electrical device.

6. A system for monitoring power of a vehicle, the system comprising: processor; and a storage medium having recorded therein one or more programs configured to be executable by the processor, The processor is configured to execute the one or more programs to: storing power consumption data for each preset vehicle state; confirming, based on the stored power consumption data, that a charge rate and a charging time of a battery of the vehicle are insufficient; Calculate customers' driving styles; Guiding a battery management plan based on the customer's calculated driving patterns; and It is recommended that the battery enter battery protection mode.

7. The system according to claim 6, wherein: The processor is configured to execute the one or more programs to: When the processor executes the one or more programs to store power consumption data for each preset vehicle state, classifying and storing power consumption data acquired by a battery sensor of the vehicle based on the vehicle state; as well as According to the suggestion of the battery entering the battery protection mode, the battery protection mode is entered.

8. The system according to claim 7, wherein: When the processor executes the one or more programs to calculate the customer's driving style, the processor is configured to: categorizing the stored power consumption data for each preset vehicle state based on a preset type; confirming, based on the classified power consumption data, that a charging rate and a charging time of the battery are insufficient; Calculate the average driving style of customers over a preset time period; sensing a continuous underrun pattern of the vehicle; as well as Identify the battery's charge rate for normal mode entry.

9. The system according to claim 8, wherein: When the processor executes the one or more programs to suggest that the battery enter a battery protection mode, the processor is configured to execute the one or more programs to: Collect the charge rate of the vehicle's battery; Notifying a low charge warning based on determining that a charge rate and a charge time of the battery are insufficient; Guides customer status and battery management plans based on calculated average driving patterns; It is recommended to enter the battery protection mode described above; as well as When the charging rate of the battery enters the normal mode, the battery protection mode is released. Wherein, when the processor executes the one or more programs to calculate the driving style, the processor is configured to execute the one or more programs to: receiving charging status data of the battery within the time period; receiving driving data of the vehicle within the time period; and determining whether the number of cases where the state of charge of the battery is less than or equal to a preset standard and the driving time of the vehicle is less than or equal to the preset standard driving time within the time period is greater than or equal to a preset number of times, and Wherein, when the processor executes the one or more programs to guide the battery management plan, the processor is configured to execute the one or more programs to: recommending the customer to run the vehicle when the number of cases where the state of charge of the battery is less than or equal to a preset standard and the running time of the vehicle is less than or equal to the preset standard running time is greater than or equal to a preset number of times; and When the number of cases where the state of charge of the battery is less than or equal to a preset standard and the driving time of the vehicle is less than or equal to the preset standard driving time is less than a preset number of times, the customer is notified that the vehicle is normal.

10. The system according to claim 7, wherein: When the processor executes the one or more programs to enter the battery protection mode, the processor is configured to execute the one or more programs to: Entering the preset dark current minimization mode to ensure the vehicle's startability; as well as Inform customers of issues caused by functional limitations, their resolution, and measures.

11. A method for monitoring electric power of a vehicle, the method being executed on a computing device, the computing device comprising a processor and a storage medium, wherein the storage medium has recorded therein one or more programs configured to be executable by the processor, the method comprising the following steps: storing power consumption data for each preset vehicle state; calculating an expected discharge time of a battery of the vehicle by calculating power consumption data classified by preset electrical devices from the data stored in the storing step, or confirming that a charging rate and charging time of the battery of the vehicle are insufficient based on the power consumption data stored in the storing step, and calculating a driving pattern of the customer; as well as The power consumption data of the electrical device calculated in the calculating step and the expected discharge time of the battery are displayed, or a battery management plan is guided based on the driving pattern of the customer calculated in the calculating step, and it is suggested that the battery enter a battery protection mode.

12. The method according to claim 11, wherein The step of storing the power consumption data comprises: The control classifies and stores the power consumption data acquired by the battery sensor of the vehicle based on the vehicle state.

13. The method according to claim 11, wherein The step of calculating the expected discharge time of the battery includes: categorizing the stored power consumption data for each preset vehicle state based on a preset type; calculating power consumption data of the electrical device based on the classified power consumption data; and Based on the current charge rate of the battery, an expected discharge time of the battery is calculated.

14. The method according to claim 13, wherein The step of calculating the power consumption data of the electrical equipment includes: determining whether the electrical device generates abnormal dark current; Calculating the abnormal dark current based on the ampere-hours (ampere / hour, Ah) of the abnormal dark current consumed above a preset reference value and the time over which the abnormal dark current has been consumed; determining whether the calculated abnormal dark current is higher than or equal to a preset appropriate level; calculating a final abnormal dark current based on a difference between the abnormal dark current and a normal dark current of the vehicle; and The calculated final abnormal dark current value is output or the final abnormal dark current does not exist, and The step of calculating the expected discharge time of the battery includes: Receiving a state of charge (SOC) of the battery; calculating an expected discharge time of the battery based on the current SOC of the battery, a preset lower limit state of charge for starting a vehicle, the capacitance of the battery, and the final abnormal dark current; and Outputs the calculated expected discharge time.

15. The method according to claim 13, wherein The step of displaying the power consumption data of the electrical device and the expected discharge time of the battery comprises: Collect the charge rate of the vehicle's battery; displaying the power consumption data of the electrical device based on the calculated power consumption data; and Displays the expected discharge time of the battery caused by the electrical device.

16. The method according to claim 11, wherein The storage steps include: classifying and storing power consumption data acquired by a battery sensor of the vehicle based on the vehicle state; and Follow the recommended steps to enter the battery protection mode.

17. The method according to claim 16, wherein The calculation steps include: categorizing the stored power consumption data for each vehicle state based on a preset category; confirming, based on the classified power consumption data, that a charging rate and a charging time of the battery are insufficient; Calculate the average driving style of customers over a preset time period; sensing a continuous underrun pattern of the vehicle; and Identify the battery's charge rate for normal mode entry.

18. The method according to claim 17, wherein Recommended steps include: Collect the charge rate of the vehicle's battery; Notifying a low charge warning based on determining that a charge rate and a charge time of the battery are insufficient; Guides customer status and battery management plans based on calculated average driving patterns; recommending entry into the battery protection mode; and When the charging rate of the battery enters the normal mode, the battery protection mode is released. The step of calculating the driving style includes: receiving charging status data of the battery within the time period; receiving driving data of the vehicle within the time period; and determining whether the number of cases where the state of charge of the battery is less than or equal to a preset standard and the driving time of the vehicle is less than or equal to the preset standard driving time within the time period is greater than or equal to a preset number of times, and The guiding steps include: recommending the customer to run the vehicle when the number of cases where the state of charge of the battery is less than or equal to a preset standard and the running time of the vehicle is less than or equal to the preset standard running time is greater than or equal to a preset number of times; and When the number of cases where the state of charge of the battery is less than or equal to a preset standard and the driving time of the vehicle is less than or equal to the preset standard driving time is less than a preset number of times, the customer is notified that the vehicle is normal.

19. The method according to claim 16, wherein The steps to enter battery protection mode include: Entering a preset dark current minimization mode to ensure vehicle startability; and Inform customers of issues caused by functional limitations, their resolution, and measures.

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