CN114675184A - Method and device for calculating discharge remaining time - Google Patents
Method and device for calculating discharge remaining time Download PDFInfo
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/3644—Constructional arrangements
- G01R31/3648—Constructional arrangements comprising digital calculation means, e.g. for performing an algorithm
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/367—Software therefor, e.g. for battery testing using modelling or look-up tables
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- G—PHYSICS
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- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/385—Arrangements for measuring battery or accumulator variables
- G01R31/387—Determining ampere-hour charge capacity or SoC
- G01R31/388—Determining ampere-hour charge capacity or SoC involving voltage measurements
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Abstract
The invention discloses a method and a device for calculating discharge remaining time, wherein the method comprises the following steps: s (1), constructing a test environment, setting a battery module, and enabling the battery module to be in a charging or discharging state; s (2) extracting the data information characteristics of battery charging or discharging through battery charging and discharging in a laboratory environment; s (3) analyzing and displaying discharge data information of a discharge circuit through battery charging and discharging characteristics; s (4) evaluating the discharging remaining time by extracting the data information characteristics of battery charging or discharging; the invention constructs a discharge residual evaluation model comprising a battery module, a discharge circuit, a battery characteristic analysis module and a discharge time evaluation module under the environment during test, and the invention expresses the recorded data information in a microcosmic manner, thereby improving the calculation capability of the discharge residual time.
Description
Technical Field
The present invention relates to the field of power supply systems, and more particularly, to a method and an apparatus for calculating a discharge remaining time.
Background
The power supply system is a system which is composed of a power supply system and a power transmission and distribution system and is used for generating electric energy and supplying and delivering the electric energy to electric equipment. The electric power supply system can be roughly divided into three forms of TN, IT and TT, wherein the TN system is divided into three expression forms of TN-C, TN-S and TN-C-S. The Battery (Battery) is one of power supply systems, and refers to a device which can convert chemical energy into electric energy in a part of space of a cup, a tank or other container or a composite container which contains electrolyte solution and metal electrodes to generate electric current. Has a positive electrode and a negative electrode. With the advancement of technology, batteries generally refer to small devices that can generate electrical energy. Such as a solar cell. The performance parameters of the battery are mainly electromotive force, capacity, specific energy and resistance. The battery is used as an energy source, can obtain current which has stable voltage and current, is stably supplied for a long time and is slightly influenced by the outside, has simple structure, convenient carrying, simple and easy charging and discharging operation, is not influenced by the outside climate and temperature, has stable and reliable performance, and plays a great role in various aspects of modern social life.
The calculation of the remaining battery discharge time is critical to the continuation of the power supply system, and the remaining battery discharge time indicates the remaining capacity of the battery after use (e.g., discharge or storage) under prescribed conditions. The change of terminal voltage during the discharge of the storage battery is also divided into 3 stages. In a short period of time from the initial discharge, the terminal voltage drops sharply and then slowly, and as the end of the discharge approaches, the terminal voltage of the secondary battery drops rapidly again in a short period of time. When the voltage drops to a certain value (about 1.8V), the discharge must be stopped, otherwise, the lead storage battery plate is vulcanized, and the service life is shortened. Wherein, when the second stage maintaining time is more than 48 hours, the lead storage battery has good characteristics. When the calculation of the discharge remaining time is realized, the conventional method adopts an empirical method, and when the service life of the battery reaches a certain stage, the empirical method is easy to cause errors.
Disclosure of Invention
Aiming at the technical defects, the invention discloses a method and a device for calculating the discharge remaining time, which can realize the simulation, calculation and evaluation of the discharge remaining time in a laboratory environment, quantitatively analyze the discharge remaining time by constructing a test environment and greatly improve the discharge, charge and power utilization capacities of a power supply system.
In order to achieve the technical effects, the invention adopts the following technical scheme:
a method for calculating discharge remaining time includes:
s (1), constructing a test environment, setting a battery module, and enabling the battery module to be in a charging or discharging state;
in this step, the ambient temperature is set to 25 ℃; the lithium ion battery flows in the electrolyte to form a charging state and a discharging state; wherein
Chemical reaction in the charging process:
(1)
chemical reaction in the discharge process:
(2)
s (2) extracting the data information characteristics of battery charging or discharging through battery charging and discharging in a laboratory environment;
in the step, the charging or discharging time of the battery is recorded, the charging or discharging data information characteristics of the battery are recorded, and the relation between the charging or discharging time and the whole data capacity is analyzed through a mathematical calculation function;
s (3) analyzing and displaying discharge data information of a discharge circuit through battery charging and discharging characteristics;
in the step, the battery charging or discharging characteristic analysis is realized by constructing a discharging characteristic equation of the battery;
s (4) evaluating the discharging remaining time by extracting the data information characteristics of battery charging or discharging;
in this step, the estimation of the discharge remaining time is realized by the SOC estimation algorithm model.
As a further technical scheme of the invention, in S (2), the construction method of the mathematical computation function comprises the following steps:
in the formula (3), the reaction mixture is,U p represents a battery discharge voltage;I（t) Represents the battery discharge current;E 0represents the nominal voltage of a fully charged battery;Q（t) Is shown in timetThe amount of power delivered internally to an external load;Q m represents the maximum capacity of the battery; a and B represent the voltage and capacitance coefficient at the end of the discharge exponential part; k represents a polarization constant.
As a further technical scheme of the invention, in S (3), the construction method of the discharge characteristic equation comprises the following steps:
step 5, repeating the step 1 and the step 4 for multiple times;
and 6, outputting an analysis result.
In S (4), an SOC estimation algorithm model is as follows:
in formula (4), the battery is passed throughnAfter the second charge-discharge cycle, at ambient temperatureTThe following stepsDCurrent of discharge rateICapacity correction value Delta C for constant current discharge T,D,n Is calculated by the formula (2), whereink T Is the temperature compensation coefficient, ToffIs the temperature threshold value of the temperature of the liquid,k D is the discharge rate factor, and is,dis the capacity variation coefficient; then SOC estimatesThe output function of the calculation model is:
in the formula (5), the reaction mixture is,SOC 0 an electric energy capacity indicating a full charge time of the battery,C N indicates the discharge capacity,. DELTA.C T,D,n The capacity correction value of the discharge is set,
the rate of charge is indicated by the value of,twhich indicates the time of charging or discharging,i represents the current of the electric current,when the value of SOC is between 0 and 1, the remaining time representing the battery level is less than 10 minutes, when the value of SOC is between 1 and 2, the remaining time representing the battery level is between 10 minutes and 20 minutes, when the value of SOC is between 3 and 4, the remaining time representing the battery level is between 30 minutes and 40 minutes, and so on.
As a further technical solution of the present invention, the battery pack comprises a battery module, a discharge circuit, a battery characteristic analysis module and a discharge time evaluation module, wherein an output end of the battery module is connected with an input end of the discharge circuit, an output end of the discharge circuit is connected with an input end of the battery characteristic analysis module, and an output end of the battery characteristic analysis module is connected with an input end of the discharge time evaluation module; wherein:
the battery module is used for providing a measured object for calculating the discharge remaining time;
the discharge circuit is used for providing calculation and simulation of a battery discharge circuit;
the battery characteristic analysis module is used for analyzing and displaying discharge data information of the discharge circuit;
the discharge time evaluation module is used for evaluating the discharge remaining time.
As a further technical scheme of the invention, the battery module is a lead-acid battery, a sodium-sulfur battery, a flow battery, a lithium ion battery or a super capacitor or a hybrid capacitor.
As a further technical solution of the present invention, the discharge circuit includes a power supply module, a fuse circuit, a relay control circuit, and a load, wherein the power supply module provides a working voltage and a current to the discharge circuit, an output terminal of the power supply module is connected to an input terminal of the fuse circuit, an output terminal of the fuse circuit is connected to an input terminal of the relay circuit, and the relay circuit is turned on or off by the relay control circuit.
As a further technical solution of the present invention, the battery characteristic analysis module includes a discharge mathematical cell model.
The invention has the beneficial and positive effects that:
different from the conventional technology, the method constructs a discharge residual evaluation model comprising a battery module, a discharge circuit, a battery characteristic analysis module and a discharge time evaluation module under the environment during test, provides a measured object for calculating the discharge residual time through the battery module, and provides calculation and simulation of the battery discharge circuit through the discharge circuit; the battery characteristic analysis module is used for analyzing and displaying discharge data information of the discharge circuit; the discharge time evaluation module is used for evaluating the discharge remaining time. And the recorded data information is expressed microscopically, so that the calculation capability of the residual discharge time is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without inventive exercise, wherein:
FIG. 1 is a schematic flow chart of a method for calculating the discharge residual time according to the present invention;
FIG. 2 is a schematic diagram of a method for constructing a discharge characteristic equation in a method for calculating a discharge residual time according to the present invention;
FIG. 3 is a schematic diagram of a test structure in an embodiment of a method for calculating a discharge residual time according to the present invention;
FIG. 4 is a plot of measurements of the results of the test of one embodiment of FIG. 3;
FIG. 5 is a schematic diagram of a device for calculating the discharge residual time according to the present invention;
FIG. 6 is a schematic diagram of a discharge circuit in a device for calculating the residual discharge time according to the present invention;
fig. 7 is a schematic diagram of a battery characteristic analysis module in a device for calculating a discharge remaining time according to the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings, and it should be understood that the embodiments described herein are merely for purposes of illustration and explanation, and are not intended to limit the present invention.
EXAMPLE 1 Process
As shown in fig. 1, a method for calculating a discharge remaining time includes:
s (1), constructing a test environment, setting a battery module, and enabling the battery module to be in a charging or discharging state;
in this step, the ambient temperature is set to 25 ℃; the lithium ion battery flows in the electrolyte to form a charging state and a discharging state; wherein
Chemical reaction in the charging process:
(1)
chemical reaction in the discharge process:
(2)
s (2) extracting the data information characteristics of battery charging or discharging through battery charging and discharging in a laboratory environment;
in the step, the charging or discharging time of the battery is recorded, the charging or discharging data information characteristics of the battery are recorded, and the relation between the charging or discharging time and the whole data capacity is analyzed through a mathematical calculation function;
s (3) analyzing and displaying discharge data information of a discharge circuit through battery charging and discharging characteristics;
in the step, the battery charging or discharging characteristic analysis is realized by constructing a discharging characteristic equation of the battery;
s (4) evaluating the discharging remaining time by extracting the data information characteristics of battery charging or discharging;
in this step, the estimation of the discharge remaining time is realized by the SOC estimation algorithm model.
In S (2), the mathematical computation function is constructed by the following method:
in the formula (3), the reaction mixture is,U p represents a battery discharge voltage;I（t) Represents the battery discharge current;E 0represents the nominal voltage of a fully charged battery;Q（t) Is shown in timetThe amount of power delivered internally to an external load;Q m represents the maximum capacity of the battery; a and B represent the voltage and capacitance coefficient at the end of the discharge exponential part; k represents a polarization constant.
In a specific embodiment, the simulation of data information is carried out in a laboratory environment, using different data temperatures, respectively, and the voltage, current and charge level of the battery are recorded separately in the simulation, for example at air temperatures of-20 ℃, 0 ℃ and +25 ℃ versus discharge time. During the charge-discharge cycle, the internal resistance is constant, independent of the temperature and of the current amplitude; self-discharge is assumed to be zero; there is no capacity loss due to incomplete discharge and charge.
In S (3), as shown in fig. 2, the discharge characteristic equation is constructed by:
step 5, repeating the step 1 and the step 4 for multiple times;
and 6, outputting an analysis result.
In a specific embodiment, after each measurement, the resistor is forced air cooled by a fan to 25 ℃. According to the simulation results, the voltage and current values of the battery cells are found to be reduced along with the reduction of the temperature, the maximum voltage difference is 2.6%, and the maximum current difference is 1.1%, which indicates the sufficiency of the established conceptual model of the bit characteristics of the battery cells, and the difference is due to the additional internal ionic resistance and does not influence the power supply efficiency of the battery.
In a specific embodiment, as shown in fig. 3, the negative electrode is made of graphite material, the positive electrode is made of LFP, NCA and NMC, respectively, the charge-discharge reaction formula of the NCA and NMC battery is similar to the formulas (1) - (2), and the test device completes the charge-discharge of the battery through the continuous circulation flow of Li ions and electrons. The universal electric meter is configured on the power supply, specific parameter data can be obtained, the data is realized through a LabView VI platform on a personal computer, a character string is received from the electric meter through a serial interface, and the power supply is controlled through an IEEE-488 interface. In multiple experiments, the study selects one experiment with the most obvious characteristic variation difference, the discharge voltage and the battery temperature of lithium batteries with different anode materials are used as horizontal and vertical coordinates, in order to form comparative analysis, the technology of applying one form of lithium iron phosphate battery in the field of railway communication is called scheme 1, the method in designing another form of railway communication control terminal based on the android system is called scheme 2, and through comparison, a battery discharge characteristic test implication table shown in table 1 is obtained:
the discharge voltage of the three lithium batteries is in a descending trend along with the reduction of the test temperature, because the environmental temperature of the batteries is reduced, the activity of Li ions and electrons in the electrolyte of the lithium batteries is reduced, the whole charge-discharge cycle process is slowed down, the discharge voltage of the lithium batteries is reduced, and the capacity of the batteries is also reduced at the same time. This shows that the critical temperature of the discharge process becomes lower, and the battery charging and discharging functions are better.
In S (4), the SOC estimation algorithm model is:
in formula (4), the battery is passed throughnAfter the second charge-discharge cycle, at ambient temperatureTThe following stepsDCurrent of discharge rateICapacity correction value DeltaC for constant current discharge T,D,n Is calculated by the formula (2), whereink T Is the temperature compensation coefficient, ToffIs the temperature threshold value of the temperature of the liquid,k D is the discharge rate factor, and is,dis the capacity variation coefficient; the output function of the SOC estimation algorithm model is:
in the formula (5), the reaction mixture is,SOC 0 an electric energy capacity indicating a full charge time of the battery,C N indicates the discharge capacity,. DELTA.C T,D,n A capacity correction value for the discharge is determined,
the rate of charge is indicated by the value of,twhich indicates the time of the charge or discharge,i represents the current of the electric current,the remaining time representing the battery charge is less than 10 minutes when the value of SOC is between 0 and 1, between 10 and 20 minutes when the value of SOC is between 1 and 2, between 30 and 40 minutes when the value of SOC is between 3 and 4, and so on.
As shown in fig. 4, in the above embodiments, the SOC is called State of Charge, the State of Charge of the battery, also called the remaining capacity, and represents the ratio of the remaining dischargeable capacity to the capacity in its fully charged State after the battery is used for a period of time or left unused for a long time, and is expressed by percentage. The battery charging method is generally represented by one byte, namely a hexadecimal system of two bits (the value range is 0-100), the meaning is that the residual capacity is 0% -100%, when SOC =0, the battery is completely discharged, and when SOC =100%, the battery is completely charged. And the charge and discharge multiplying power and the terminal voltage are in corresponding relation. The measured battery voltage, in the dynamic case of the battery, is actually the terminal voltage of the battery. The relation between the constant temperature and the constant current is relatively stable, but the corresponding relation is disturbed as long as the battery starts to work under the non-constant current state, and in other embodiments, an AH integration method, an open-circuit voltage method, a Kalman filtering method and a BP neural network method can also be adopted.
EXAMPLE 2 apparatus
As shown in fig. 5-7, a device for calculating the remaining discharge time includes a battery module, a discharge circuit, a battery characteristic analysis module, and a discharge time evaluation module, wherein an output terminal of the battery module is connected to an input terminal of the discharge circuit, an output terminal of the discharge circuit is connected to an input terminal of the battery characteristic analysis module, and an output terminal of the battery characteristic analysis module is connected to an input terminal of the discharge time evaluation module; wherein:
the battery module is used for providing a measured object for calculating the discharge remaining time;
the discharge circuit is used for providing calculation and simulation of a battery discharge circuit;
the battery characteristic analysis module is used for analyzing and displaying discharge data information of the discharge circuit;
the discharge time evaluation module is used for evaluating the discharge remaining time.
In the above embodiments, the battery module is a lead-acid battery, a sodium-sulfur battery, a flow battery, a lithium ion battery, or a super capacitor and a hybrid capacitor.
In the embodiment, the lead-acid battery is popular in the energy storage market in the early stage, and has the advantages of mature process, low price, safety and reliability. The flow battery is another type of nickel-zinc battery, and the internal structure of the flow battery is mainly an all-vanadium flow battery. The battery has the advantages of higher capacity efficiency and high energy storage. The battery has good discharge performance, can realize 100% deep discharge at some time, and can also realize quick charge and discharge. Sodium-sulfur battery is another type of battery, and structurally, the positive electrode and the negative electrode of the battery respectively use molten salt sodium and molten sulfur to act as a closed circuit for charging and discharging, wherein beta-alumina is used as a solid electrolyte for charging and discharging. In the application process of the lithium ion battery, most energy storage materials of the lithium ion battery are lithium iron phosphate batteries (LiFePO 4), and the lithium ion battery mainly comprises a positive electrode material, a negative electrode material, a diaphragm, electrolyte and the like in a hardware structure. The echelon utilization of the lithium iron phosphate battery has a great prospect in the field of energy storage. The battery echelon utilization refers to a technology of reforming a battery with a capacity of less than 80% for reuse in the field of energy storage. The lithium iron phosphate battery occupies a large share in the domestic electric automobile industry, and the life cycle of the whole battery can be completed through gradient utilization, so that resource waste can be reasonably and effectively avoided. In specific examples of the present application, analysis was performed by the battery as an example. Super capacitors (Supercapacitors) have the characteristics of high rate, long cycle life, high safety and the like, and the energy density and the power density fill the blank between batteries and flat capacitors. The super capacitor is a novel storage device in a new energy environment and structurally comprises a positive electrode, a negative electrode, electrolyte, a diaphragm and the like.
In the above embodiment, the discharge circuit includes a power module, a fuse circuit, a relay control circuit, and a load, where the power module provides operating voltage and current to the discharge circuit, an output terminal of the power module is connected to an input terminal of the fuse circuit, an output terminal of the fuse circuit is connected to an input terminal of the relay circuit, and the relay circuit is turned on or off by the relay control circuit.
In a particular embodiment, FU1 represents a fuse; SA1-SA2 denotes a relay control key, K1-K2 denotes a relay switch, and the load on the cradle is a set of R1-R4 parallel power resistors, AH-100J type with resistance of 0.47 ohm and power of 100W, connected in parallel through relay switches K1 and K2 (nominal resistance spread not more than 5%). In order to stabilize the temperature of the resistors and ensure the constancy of the conductivity values, an air-cooled heat sink is mounted on each resistor.
In the above embodiment, the battery characteristic analysis module includes a discharge mathematical cell model.
In the above embodiments, the discharge time evaluation module is a modified SOC evaluation model.
Although specific embodiments of the invention have been described herein, it will be understood by those skilled in the art that these embodiments are merely illustrative and that various omissions, substitutions and changes in the form and details of the methods and systems described may be made by those skilled in the art without departing from the spirit and scope of the invention. For example, it is within the scope of the present invention to combine the steps of the above-described methods to perform substantially the same function in substantially the same way to achieve substantially the same result. Accordingly, the scope of the invention is to be limited only by the following claims.
Claims (8)
1. A method for calculating a discharge residual time, comprising: the method comprises the following steps:
s (1), constructing a test environment, setting a battery module, and enabling the battery module to be in a charging or discharging state;
in this step, the ambient temperature is set to 25 ℃; the lithium ion battery flows in the electrolyte to form a charging state and a discharging state; wherein
Chemical reaction in the charging process:
(1)
chemical reaction in the discharge process:
(2)
s (2) extracting the data information characteristics of battery charging or discharging through battery charging and discharging in a laboratory environment;
in the step, the charging or discharging time of the battery is recorded, the charging or discharging data information characteristics of the battery are recorded, and the relation between the charging or discharging time and the whole data capacity is analyzed through a mathematical calculation function;
s (3) analyzing and displaying discharge data information of a discharge circuit through battery charging and discharging characteristics;
in the step, the battery charging or discharging characteristic analysis is realized by constructing a discharging characteristic equation of the battery;
s (4) evaluating the discharging remaining time by extracting the data information characteristics of battery charging or discharging;
in this step, the estimation of the discharge remaining time is realized by the SOC estimation algorithm model.
2. The method of claim 1, wherein the step of calculating the discharge residual time comprises: in S (2), the mathematical computation function is constructed by the following method:
in the formula (3), the reaction mixture is,U p represents a battery discharge voltage;I（t) Represents the battery discharge current;E 0represents the nominal voltage of a fully charged battery;Q（t) Is shown in timetThe amount of power delivered internally to an external load;Q m represents the maximum capacity of the battery; a and B represent the voltage and capacitance coefficient at the end of the discharge exponential part; k represents a polarization constant.
3. The method of claim 1, wherein the step of calculating the discharge residual time comprises: in S (3), the discharge characteristic equation is constructed by:
step 1, charging the battery under constant current and constant voltage until the battery is charged to 90-95% of the charging level, and recording;
step 2, discharging current I =0.5C, and discharging end voltage U = UminRecording the time;
step 3, measuring the voltage, the discharge current, the temperature of the battery unit and the temperature of the resistor once every 60 seconds, and measuring the discharge time;
step 4, calculating the change characteristics of the power consumption, specific energy and charging state of the battery along with time;
step 5, repeating the step 1 and the step 4 for multiple times;
and 6, outputting an analysis result.
4. The method of claim 1, wherein the step of calculating the discharge residual time comprises: in S (4), the SOC estimation algorithm model is:
in formula (4), the battery is passed throughnAfter the second charge-discharge cycle, at ambient temperatureTThe following stepsDCurrent of discharge rateICapacity correction value Delta C for constant current discharge T,D,n Is calculated by the formula (2), whereink T Is the temperature compensation coefficient, ToffIs the temperature threshold value of the temperature of the liquid,k D is the discharge rate factor, and is,dis the capacity variation coefficient; the model output function of the SOC estimation algorithm is:
in the formula (5), the reaction mixture is,SOC 0 the electric energy capacity indicating the time when the battery is fully charged,C N indicates the discharge capacity,. DELTA.C T,D,n The capacity correction value of the discharge is set,
the rate of charge is indicated by the value of,twhich indicates the time of charging or discharging,i represents a current，The remaining time representing the battery charge is less than 10 minutes when the value of SOC is between 0 and 1, between 10 and 20 minutes when the value of SOC is between 1 and 2, between 30 and 40 minutes when the value of SOC is between 3 and 4, and so on.
5. A discharge remaining time calculation apparatus, characterized in that: the battery characteristic analysis module comprises a battery module, a discharge circuit, a battery characteristic analysis module and a discharge time evaluation module, wherein the output end of the battery module is connected with the input end of the discharge circuit, the output end of the discharge circuit is connected with the input end of the battery characteristic analysis module, and the output end of the battery characteristic analysis module is connected with the input end of the discharge time evaluation module; wherein:
the battery module is used for providing a measured object for calculating the discharge remaining time;
the discharge circuit is used for providing calculation and simulation of a battery discharge circuit;
the battery characteristic analysis module is used for analyzing and displaying discharge data information of the discharge circuit;
the discharge time evaluation module is used for evaluating the discharge remaining time.
6. The apparatus for calculating discharge remaining time according to claim 5, wherein: the battery module is a lead-acid battery, a sodium-sulfur battery, a flow battery, a lithium ion battery or a super capacitor and a hybrid capacitor.
7. The apparatus for calculating discharge remaining time according to claim 5, wherein: the discharging circuit comprises a power supply module, a fuse circuit, a relay control circuit and a load, wherein the power supply module provides working voltage and current for the discharging circuit, the output end of the power supply module is connected with the input end of the fuse circuit, the output end of the fuse circuit is connected with the input end of the relay circuit, and the relay circuit is switched on and off through the relay control circuit.
8. The apparatus for calculating discharge remaining time according to claim 5, wherein: the battery characteristic analysis module includes a discharge mathematical cell model.
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