KR101695253B1 - Method and Apparatus for managing battery using the weight of vehicle - Google Patents

Abstract

In one preferred embodiment of the present invention, the energy efficiency and the charge / discharge of the battery are controlled in consideration of the amount of change in weight in a medium or large sized vehicle.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention [0001] The present invention relates to a weight-based battery management apparatus and a weight-based battery management apparatus,

BACKGROUND OF THE INVENTION 1. Field of the Invention [0002] The present invention relates to a method for managing a battery of a vehicle, and more particularly, to a method for managing a battery using a change in weight of a middle- or large-sized xEV vehicle.

In order to efficiently use the battery in the vehicle, a method of controlling the SoC by using the traveling pattern reflecting various driving environments has been derived. Examples of driving patterns include whether the road is stagnant, the speed of the vehicle, and the position information on the map using navigation. However, such information is variable depending on the driving behavior of the driver or the road conditions, and thus it is difficult to utilize the information as reliable or consistent data.

KR 2014-0084543

In one preferred embodiment of the present invention, the energy efficiency and the charge / discharge of the battery are controlled in consideration of the amount of change in weight in a medium or large sized vehicle.

As a preferred embodiment of the present invention, the weight-based battery management apparatus includes a weight measuring unit for measuring the weight of the vehicle in real time and determining the amount of change in weight; A weight pattern learning unit that learns a weight pattern based on the measured weight or weight change amount of the vehicle; A battery management unit for resetting a charge / discharge range (SoC) of the battery suitable for the weight based on the measured weight of the vehicle or the learned weight pattern; And an automatic control unit for controlling charge and discharge of the battery of the vehicle based on the reset SoC. And the SoC in the battery management unit is reset by referring to the optimum SoC.

Preferably, the automatic control unit may cool the battery before the predicted point when the battery charge amount or the discharge amount is predicted to increase due to the increase in weight based on the learned weight pattern, The cooling of the battery is stopped when the discharge amount of the battery is predicted to decrease, and the battery is cooled before the predicted point when the charge amount of the battery is expected to increase even if the weight is decreased.

Preferably, the weight pattern learning unit updates the weight pattern when the weight of the vehicle measured in real time exceeds a range of the learned weight, and when the weight pattern is updated, The automatic control unit calculates the actually used electric energy among the available electric energy calculated by using the reset SoC information and provides the actually used electric energy value to the battery management unit .

Preferably, the weighing part measures a change amount of the weight by reflecting a change in the air pressure of the vehicle tire.

Preferably, the battery setting unit determines that the vehicle weight is decreased when the air pressure decreases based on the air pressure change amount of the vehicle tire, increases the SoC, determines that the vehicle weight is increased when the air pressure increases, .

Preferably, the weight measuring unit calculates the number of passengers on the basis of the bus fare of the passengers getting on and off the bus when the vehicle is a bus, classifies passengers by age, And the weight of the vehicle is measured.

Preferably, the automatic control unit calculates the available electric power using the reset SoC information, drives the motor of the vehicle within the reset range, and performs charge / discharge of the battery using the engine or the generator of the vehicle do.

As another preferred embodiment of the present invention, there is provided a method of managing a battery based on weight in real time in a vehicle, comprising: measuring a weight of a vehicle in real time in a weight measuring unit and determining a change in weight; Learning a weight pattern based on a weight or a weight change amount of the vehicle measured by the weight pattern learning unit; Resetting a charge / discharge range (SoC) of the battery suitable for the weight based on the measured weight of the vehicle or the learned weight pattern in the battery management unit; Storing the measured weight of the vehicle, the learned weight pattern, the amount of power actually used in the vehicle, and the re-established SoC value together in the battery management unit to continuously learn the optimal SoC according to the weight change; And controlling the battery charge / discharge of the vehicle based on the reset SoC in the automatic control unit, wherein the SoC in the battery management unit is reset by referring to the optimum SoC.

The weight-based battery management apparatus of the present invention has an effect of improving battery life of hybrid and electric vehicles using high power by using batteries.

1 is a block diagram of an internal structure of a weight-based battery management apparatus 100 according to an embodiment of the present invention.
FIGS. 2, 7 to 9 show an example of measuring the weight of the vehicle or the amount of change in weight in the weight measuring unit (FIGS. 1 and 110) according to a preferred embodiment of the present invention.
FIGS. 3 to 4 and 10 to 11 illustrate an embodiment in which the amount of change in weight is measured in accordance with an air pressure change amount of a tire according to a preferred embodiment of the present invention.
FIG. 5 illustrates an embodiment of using a weight based battery management device in a vehicle according to a preferred embodiment of the present invention.
FIG. 6 is a diagram illustrating an example in which patterns are recorded for a predetermined period of time or more with respect to the weight of a bus operating a specific route, the tire air volume, the battery cooling state, and the battery charging state (SoC) Respectively.
FIG. 12 illustrates an embodiment in which charging and discharging of a vehicle are controlled using a weight pattern learned in a weight pattern learning unit in an automatic control unit according to a preferred embodiment of the present invention.
13A and 13B show a flow chart of a method of managing a battery based on weight in real time in a vehicle, according to a preferred embodiment of the present invention.

Hereinafter, various embodiments of the present invention will be described with reference to the drawings.

1 is a block diagram of an internal structure of a weight-based battery management apparatus 100 according to an embodiment of the present invention.

As a preferred embodiment of the present invention, the weight-based battery management apparatus 100 is usable in a medium-sized transport vehicle such as a truck carrying a cargo or a bus carrying a person. Particularly, a battery can be used to improve the battery life of hybrid electric vehicles and high-power electric vehicles.

In the case of medium and large-sized transport vehicles, the weight change can be measured substantially. In one preferred embodiment of the present invention, charge / discharge control of a battery is performed using the weight of a vehicle that can be actually measured.

In addition, when a specific route is repeatedly operated such as a bus, the number of passengers and the battery usage according to the time zone may exhibit a certain pattern. In a preferred embodiment of the present invention, the battery usage is predicted in advance by learning a certain weight change amount and a weight pattern representing the SoC variation amount, and the battery efficiency is increased by predetermining whether or not the battery is cooled.

The weight based battery management apparatus 100 includes a weight measuring unit 110, a weight pattern learning unit 120, a battery management unit 130, and an automatic control unit 140.

The weight measuring unit 110 measures the weight of the vehicle in real time and grasps the amount of change in weight. The weight measuring unit 110 calculates the number of passengers by mounting a weight measuring sensor on a vehicle or installing a mass measuring device on a vehicle in order to measure the weight of the vehicle, Can be calculated. In addition, cargo trucks can calculate the weight of cargo trucks loaded on them. For a specific example, refer to the description of Figs. 2, 7 to 9.

As another preferred embodiment of the present invention, the weight measuring unit 110 may measure the amount of change in weight by reflecting the amount of air pressure change of the tire. Reference is made to the description of Figs. 3 to 4 and 10 to 11 for specific examples.

The weight pattern learning unit 120 learns a weight pattern based on the measured weight or weight change amount of the vehicle. For example, the weight pattern learning unit 120 may measure the real weight of a bus that travels on a specific route over a predetermined period of time, and then grasp the pattern of repeated weights along the time zone. In addition, it is possible to grasp the amount of change of the battery to be used according to the weight change amount, and to learn the SoC standard range accordingly. An example of a pattern learned by the weight pattern learning unit 120 is shown in FIG.

FIG. 6 shows an example in which patterns are recorded for a predetermined period of time over the weight of a bus operating a specific route, tire air volume, battery cooling state, and battery charge state (SoC) for a certain period of time.

The battery management unit 130 resets the charging / discharging range SoC of the battery suitable for the weight determined based on the weight of the vehicle measured by the weight measuring unit 110 or the weight pattern learned in the weight pattern learning unit 120 .

For example, referring to FIG. 6, it can be understood that the weight of the bus is highest at 7-8 o'clock in the morning, at 6-7 o'clock in the afternoon, and at 7-8 o'clock in the weight pattern learned in the weight pattern learning unit 120 have.

The battery management unit 130 determines whether the battery is cooled or not in the range of 7 to 8 am, 6 to 7 pm, and 7 to 8 pm, where the weight of the bus is highest, based on the weight pattern learned in the weight pattern learning unit 120. The charge / discharge range (SoC) can be reset.

For example, the battery management unit 130 stores weight patterns (eg, tire air pressure 20b, weight 3t, battery pre-cooling, SoC 40 to 80%) for 7 to 8:00 am in the weight pattern learning unit 120, ), It is anticipated that the number of passengers on board will surge at about 7:00 am, and battery cooling can be performed in advance in anticipation of an increase in battery discharge amount. Also, if the battery's SoC is between 40% and 60% from 6:00 am to 7:00 am, you can perform battery cooling and reset the charge to SoC 40-80%.

Thereafter, the battery management unit 130 actually checks the tire air pressure and the weight measured during the 7 to 8:00 am period while operating the bus, compares the available electric energy calculated by using the learned SoC information with the actually used electric energy do. Adjust the upper and lower limits of the learned SoC range when the actual measured weight exceeds or falls below the learned weight pattern. The battery management unit 130 may also refer to the amount of power actually used when adjusting the upper and lower limits of the learned SoC range.

For example, when the reference weight is 1t and the Max weight is 2t, the upper limit and the lower limit of the SoC range are predetermined so that the weight distribution between 1t and 2t is between 60 and 80%. For example, if 1 t, SoC can be set to 40 to 60%, and if 2 t, SoC can be set to 40 to 80%.

Other weight values For example, when weighing 1.5t, it is reflected that SoC is set to an arbitrary value of 40 to 70%, and then the actually used SoC value is used up to 68%. If the battery is used again after this time, if the weight is 1.5t, the SoC is set to 40 ~ 68% by default.

In this case, the weight pattern learning unit 120 updates the weight pattern by updating the weight pattern when the weight of the vehicle measured in real time exceeds the range of the learned weight. The measured weight and the SOC range used after actual driving can be continuously stored and updated, so that more detailed and optimized SOC range per weight can be grasped.

The battery management unit 130 may also be configured to reset the upper and lower limits of the SoC for each time interval based on the weight pattern learned in the weight pattern learning unit 120. [

The automatic control unit 140 controls the battery charge / discharge of the vehicle based on the SoC reset in the battery management unit 130. 12 illustrates an embodiment in which charging and discharging of a vehicle are controlled using a weight pattern learned in the weight pattern learning unit 120 in the automatic control unit 140 according to a preferred embodiment of the present invention.

Referring to FIGS. 1 and 12, the following will be described.

The automatic control unit 140 determines that the battery charge amount S1240 or the discharge amount S1230 is expected to increase by increasing the weight S1220 based on the weight pattern learned in the weight pattern learning unit 120, The battery is cooled before the predicted point (S1250).

Referring to FIG. 6, if the weight is about 1 ton between 5 pm and 6 pm, and the passenger is driven due to the work time from about 6 pm, if the weight is expected to increase sharply to about 3 tons, . Also, even if the bus goes downhill, it is anticipated that both the weight and the battery charge will increase, so that the battery can be cooled in advance.

The automatic control unit 140 stops the cooling of the battery when the amount of charge is not expected to increase while the amount of discharge of the battery is predicted to decrease due to the decrease in weight based on the learned weight pattern (S1260, S1270, S1280). Referring to FIG. 6, if the weight is expected to decrease from 3t to 1t due to a decrease in passengers between 8:00 pm and 9:00 pm, it is possible to stop the cooling of the battery in advance if it is expected that the discharge amount of the battery is reduced.

The automatic control unit 140 may also be configured to cool the battery prior to the predicted point (S1220, S1260, S1270, S1280) if the charge amount of the battery is predicted to increase even if the weight decreases. For example, a bus that does not have a passenger but descends downhill is expected to increase the charge of the battery even if the weight is reduced, so that the battery can be pre-cooled.

The automatic control unit 140 may also be configured to compare the amount of available power calculated using the SoC information reset by the battery management unit 130 with the amount of actually used power. Thereafter, when the difference between the actually used electric energy value and the calculated available electric energy is equal to or greater than a predetermined value, the actually used electric energy value is provided to the battery management unit 130 and is used when the SoC information is set in similar conditions later.

FIGS. 2, 7 to 9 show an example of measuring the weight of the vehicle or the amount of change in weight in the weight measuring unit (FIGS. 1 and 110) according to a preferred embodiment of the present invention.

FIG. 7 is a view showing an example in which a weight is measured by using a weight measuring sensor in a bus or a freight truck according to a preferred embodiment of the present invention. The basic weight of the bus or cargo truck is checked (S710). Thereafter, in the case of a cargo truck, a weight change sensor is used to measure a change in weight according to the cargo shipment amount (S720, S730). In the case of the bus, the weight change sensor can be used to measure the change in weight by reflecting the number of the riding passengers and the number of the passengers getting off in real time (S720, S730).

FIG. 8 shows an example in which the weight of the bus is grasped in real time on the basis of the bus fare cost when the weight measurement sensor is not installed on the bus, according to a preferred embodiment of the present invention.

On the bus, the passenger can be classified as infant, teen, adult, and elderly based on the bus fare paid by the passenger (S810). After that, when the classified passengers ride, the rider is added, and when the classified passenger gets off, the rider is decreased (S820, S830).

Thereafter, the weight according to the classified passenger number is calculated. Fig. 2 shows an example of a predetermined weight for each classified passenger. In the weight measuring unit 110, a specific weight may be set in advance for each of infants, adolescents, adults, and seniors in a preset weight range.

For example, there are 10 people who boarded the bus at 11 am, 2 children, 3 young adults, 3 adults, and 2 seniors. In this case, the average weight of the infant is set to 13 kg, the weight of the adult is 50 kg, the weight of the adult is 58 kg, the weight of the elderly is 57 kg, and the weight according to the number of people can be calculated (S 850).

9 is an example of measuring weight when a weight measuring sensor is not mounted on a freight truck according to a preferred embodiment of the present invention. Firstly, the density is checked for each cargo to be loaded on the cargo truck (S910), and then the total weight is estimated depending on whether the cargo load is proper, excessive or not (S920, S930).

FIGS. 3 and 10 to 11 illustrate an embodiment in which the amount of change in weight is measured in accordance with an air pressure change amount of a tire according to a preferred embodiment of the present invention.

3 shows the relationship between the weight of the vehicle and the air pressure of the tire. As the weight of the vehicle increases, the tire air pressure increases. Therefore, in a preferred embodiment of the present invention, the amount of change in weight can be detected based on the amount of air pressure change in the tire. Also, the charging / discharging range (SoC) can be adjusted by reflecting the air pressure change amount of the tire.

FIG. 4 shows an embodiment of setting a charge / discharge range by reflecting a tire air pressure value as a preferred embodiment of the present invention. Referring to FIG. 4, when the tire air pressure is 120 PSI and the normal weight is not loaded, it is possible to run smoothly even if the SoC range is 40 to 50%.

However, when the tire pressure reaches 140 PSI and the maximum weight is reached, it is necessary to set the SoC to 70 ~ 80% so that a large amount of battery can be consumed.

Figs. 10 to 11 illustrate an embodiment in which the tire air pressure is checked, the weight of the vehicle is grasped, and the charge / discharge range (SoC) is controlled.

Fig. 10 shows an example in which the weight of the vehicle is increased.

Referring to FIG. 10, the battery management unit (FIG. 1, 130) checks the default tire air pressure of the vehicle when there is no load on the vehicle (S1010). Thereafter, when the weight of the vehicle is increased due to the cargo loading or the passenger ride (S1020), it is confirmed whether the tire is a smart tire (S1030).

If the tire is not a smart tire, the tire air pressure increases due to the increase in the weight of the vehicle, so that the increase in the air pressure of the tire is measured to determine the weight change amount (S1040).

In the case of the smart tire, the smart tire recognizes the tire air pressure change amount that is increased to match the default tire air pressure level of the vehicle in response to the weight change amount (S1050).

Thereafter, the upper limit and the lower limit of the charge / discharge range (SoC) are controlled based on the tire air pressure increase amount in the case of a smart tire based on the tire air pressure decrease amount in the case where the tire is not a smart tire (S1060).

11 shows an example in which the weight of the vehicle is reduced.

Referring to FIG. 11, the battery management unit (FIG. 1, 130) checks the default tire air pressure of the vehicle when there is no load on the vehicle (S1110). Thereafter, if the weight of the vehicle is reduced due to unloading or getting off the passenger (S1120), it is confirmed whether the tire is a smart tire (S1130).

If the tire is not a smart tire, the tire air pressure is decreased due to the weight reduction of the vehicle, and the amount of weight change is measured by measuring the tire air pressure reduction amount (S1140).

In the case of a smart tire, the smart tire recognizes the tire air pressure change amount reduced to match the default tire air pressure level of the vehicle in response to the weight change amount (S1150).

Thereafter, the upper limit and the lower limit of the charge / discharge range (SoC) are controlled based on the tire air pressure decrease amount in the case of a smart tire based on the tire air pressure increase amount in the case of a non-smart tire (S1160).

FIG. 5 illustrates an embodiment of using a weight based battery management device in a vehicle according to a preferred embodiment of the present invention.

The vehicle 500 includes a weight measuring unit 510, a weight pattern learning unit (not shown), a battery management unit 530, and an automatic control unit 540.

The weight measuring unit 510 is implemented in the form of a weight measuring sensor, a getting on and off personnel calculator, and the like, and includes all mechanisms and methods capable of measuring the weight. The weight pattern learning unit is not shown in FIG. 5. In the vehicle, however, a driving situation or a traveling pattern is monitored by using a CPU, a main controller or the like, and a pattern of a weight change amount pattern, an amount of SoC variation according to a weight change amount, do.

The battery management unit 530 controls the balancing of the battery cells and sets the charge / discharge SOC range. In addition, the SoC range according to the weight can be modified in consideration of the weight pattern in addition to the repetitive running pattern of the vehicle.

As a result, the battery management unit 530 can set a suitable SoC range according to the weight of the vehicle by time zone. The automatic control unit 540 controls the charging and discharging within the SoC range set in the battery management unit 530 and limits the output of the engine or the generator 532 and the motor 534. [

13A and 13B show a flow chart of a method of managing a battery based on weight in real time in a vehicle, according to a preferred embodiment of the present invention.

The weight measuring section of the vehicle measures the current weight of the vehicle in real time and grasps the amount of change in weight (S1310). If it is determined that the weight of the currently measured vehicle exceeds the reference weight, the pre-stored SoC standard range is used (S1320 to S1340).

For example, if the cargo truck load is 2t, the maximum load is 4t, and the current cargo truck load is 2t, the pre-stored SoC standard range is used. It is assumed that the SoC standard range is 40 to 60% at the optimum load of 2 ton of the cargo truck.

However, if the current cargo truck load is 4t, the lower limit value and the upper limit value of the SoC standard range are changed to 40 to 80% (S1350, S1352). Note that 40% and 80% correspond to one embodiment of the numerical value, but are not limited thereto.

For example, if the cargo truck load exceeds the optimum load, but does not reach the maximum load, it is less than the maximum load for 3t, so if the weight is 3t, the SoC standard range is 3t. (S1362).

If the pre-stored SoC standard range is not applied to 3t, a new SoC standard range is set for the weight of 3t (S1370, S1372). In this case, since the weight of 3t exceeds the range of the optimum load and is within the maximum load, a new SoC standard range can be set to any unknown value TBD (To be determined) between 40 and 80% (S1372). The arbitrary unknown value TBD further updates the lower limit value and the upper limit value of the SoC (S1374, S1376, S1378, S1380) after additionally reflecting the actual amount of electric power used at the 3t weight after the vehicle actually runs. When the learning is performed by repeating the process of setting the lower limit value and the upper limit value of the SoC according to the actual running weight, the unknown value can be set by gaining a new SoC standard range.

The method of the present invention can also be embodied as computer readable code on a computer readable recording medium. A computer-readable recording medium includes all kinds of recording apparatuses in which data that can be read by a computer system is stored.

Examples of the computer-readable recording medium include ROM, RAM, CD-ROM, magnetic tape, floppy disk, optical data storage, and the like. The computer-readable recording medium may also be distributed over a networked computer system so that computer readable code can be stored and executed in a distributed manner.

The present invention has been described above with reference to preferred embodiments thereof. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.

Therefore, the disclosed embodiments should be considered in an illustrative rather than a restrictive sense. The scope of the present invention is defined by the appended claims rather than by the foregoing description, and all differences within the scope of equivalents thereof should be construed as being included in the present invention.

Claims (15)

A weight measuring unit for measuring the weight of the vehicle in real time and determining the amount of change in weight;
A weight pattern learning unit that learns a weight pattern based on the measured weight or weight change amount of the vehicle;
A battery management unit for resetting the charge / discharge range (SoC) of the battery based on the measured weight of the vehicle or the learned weight pattern; And
An automatic control unit for controlling charge and discharge of the battery of the vehicle based on the reset SoC; Wherein the battery management unit further reflects a power amount actually used in the vehicle when the SoC of the battery is reset,
The weight pattern learning unit updates the weight pattern when the weight of the vehicle measured in real time exceeds the range of the learned weight. When the weight pattern is updated, the battery management unit updates the charge / discharge And the upper limit value and the lower limit value of the range are reset. 2. The apparatus of claim 1, wherein the automatic control unit
The battery is cooled before the predicted point when the battery charge amount or the discharge amount is predicted to increase due to the increase in weight based on the learned weight pattern, and when the amount of discharge of the battery decreases with the decrease in weight based on the learned weight pattern Wherein the cooling of the battery is stopped when it is predicted that the amount of charge of the battery is expected to increase even if the weight is decreased. The method according to claim 1,
Wherein the automatic control unit compares the amount of available electric power calculated by using the reset SoC information with the amount of actually used electric power and if the difference between the actually used electric energy amount and the calculated available electric energy is equal to or greater than a preset value, To the battery management unit (100). The apparatus of claim 1, wherein the weighing unit
Based on the number of passengers aboard the vehicle, the amount of change in the weight based on the number of passengers aboard the vehicle. The apparatus of claim 1, wherein the weight pattern learning unit
Based on the weight change amount of the vehicle according to the number of passengers for each time period, and learns the weight pattern. The apparatus of claim 1, wherein the weighing unit
Wherein the change of the weight is monitored by reflecting a change in the air pressure of the vehicle tire. The apparatus of claim 1, wherein the battery management unit
Wherein when the air pressure is decreased based on a change in air pressure of the vehicle tire, it is determined that the weight of the vehicle is increased and the SoC is increased, and when the air pressure is increased, Based battery management device. Claim 8 has been abandoned due to the setting registration fee. The apparatus of claim 1, wherein the weighing unit
When the vehicle is a bus, the number of passengers is calculated based on the bus fare of the passengers getting on and off the bus, the passengers are classified according to their age, and the weight of the vehicle is measured in real time using the predetermined average weight Weight based battery management device. Claim 9 has been abandoned due to the setting registration fee. The apparatus of claim 1, wherein the weighing unit
Wherein when the vehicle is a bus, the mass-measuring device is installed at a loading / unloading position of the bus to measure the weight of the vehicle in real time. Claim 10 has been abandoned due to the setting registration fee. The apparatus of claim 1, wherein the weighing unit
And the weight of the vehicle is measured using a gravimetric sensor. 2. The apparatus of claim 1, wherein the automatic control unit
Calculates the available electric power using the reset SoC information, drives the motor of the vehicle within the reset range, and performs charge / discharge of the battery using the engine or the generator of the vehicle. A bus equipped with a weight based battery management device, wherein the weight based battery management device
A weight measuring unit for measuring the weight of the vehicle in real time on the basis of the number of passengers on the vehicle or the air pressure change of the bus tire and determining the amount of change in weight;
A weight pattern learning unit for recognizing a weight change amount of the vehicle according to a change in the number of passengers in each time period and learning a weight pattern;
A battery management unit for resetting a charge / discharge range (SoC) of the battery by time zone based on the measured weight of the vehicle or the learned weight pattern; And
Controlling the charge and discharge of the battery of the vehicle based on the reset SoC and cooling the battery prior to the predicted point when it is predicted that the battery charge amount or the discharge amount is expected to increase due to the increase in weight based on the learned weight pattern, If it is predicted that the discharge amount of the battery is reduced due to the decrease in weight based on the learned weight pattern, the battery cooling is stopped, and if it is predicted that the charged amount of the battery will increase even if the weight is decreased, Lt; / RTI >
The weight pattern learning unit updates the weight pattern when the weight of the vehicle measured in real time exceeds the range of the learned weight. When the weight pattern is updated, the battery management unit updates the charge / discharge And resetting the upper limit value and the lower limit value of the range. Claim 13 has been abandoned due to the set registration fee. 13. The battery management system according to claim 12, wherein the automatic control unit calculates the actually used electric energy among the available electric energy calculated using the reset SoC information, and provides the actually used electric energy value to the battery management unit Bus with battery management device. CLAIMS 1. A method of managing a battery based on weight in real time in a vehicle,
Measuring the weight of the vehicle in real time in the weight measuring unit and determining the amount of change in weight;
Learning a weight pattern based on a weight or a weight change amount of the vehicle measured by the weight pattern learning unit;
Resetting the charge / discharge range (SoC) of the battery based on the measured weight of the vehicle or the learned weight pattern in the battery management unit; And
And controlling the battery charge / discharge of the vehicle based on the reset SoC in the automatic control unit,
In the step of learning the weight pattern, the weight pattern learning unit updates the weight pattern when the weight of the vehicle measured in real time exceeds the range of the learned weight, and when the weight pattern is updated, And the upper limit value and the lower limit value of the charge / discharge range of the battery are reset according to the range. 2. The apparatus of claim 1, wherein the automatic control unit
The battery is cooled before the predicted point when the battery charge amount or the discharge amount is predicted to increase due to the increase in weight based on the learned weight pattern, and when the amount of discharge of the battery decreases with the decrease in weight based on the learned weight pattern Wherein the cooling of the battery is stopped when it is predicted that the amount of charge of the battery is expected to increase even if the weight is decreased.

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