Device and method for controlling vehicle and vehicle system

Abstract

The present invention provides an apparatus for controlling a vehicle, comprising an energy predictor that predicts available energy using battery energy based on charging energy during battery charging and battery energy based on a learned value of a state of health (SOH) of the battery; a distance calculator that calculates a driving distance using the predicted available energy and previously learned fuel efficiency; and a controller that updates information on the calculated driving distance.

Description

Technical Field

[0001] The present invention relates to an apparatus and method for controlling a vehicle and a vehicle system. Background Art

[0002] For vehicles such as electric vehicles that obtain driving force through batteries, it is important to keep the battery charge above a certain level. To this end, conventional electric vehicles calculate the driving distance based on the remaining capacity of the battery, learned fuel efficiency, state of health (SOH), battery temperature, and the temperature of the outside air, and send the driving distance to the driver.

[0003] Generally speaking, a vehicle measures the SOH of a battery during charging or discharging. In particular, a vehicle may measure the SOH of a battery in tapering sections.

[0004] However, even if the battery is charged without measuring the SOH, due to the lack of currently known SOH, the travel distance may be measured using SOH information known in a previous or initial stage.

[0005] In this case, even if the battery's SOH is actually 20% or higher, the vehicle will mistakenly identify the SOH as 0%. If the driving distance is calculated based on the wrongly identified SOH, a 20% error may occur.

[0006] Therefore, the driving experience may not be satisfactory because the reliability of the information about the driving distance informed by the vehicle is reduced. Summary of the invention

[0007] One aspect of the present invention provides an apparatus and method for controlling a vehicle and a vehicle system, which can calculate the driving distance based on the predicted battery energy, thereby accurately measuring the state of health (SOH) of the battery regardless of when the battery is charged without learning the SOH, thereby improving the reliability of the driving distance information.

[0008] The technical problems to be solved by the present invention are not limited to the above problems, and those skilled in the art to which the present invention belongs will clearly understand any other technical problems not mentioned herein from the following description.

[0009] According to one aspect of the present invention, an apparatus for controlling a vehicle includes: an energy predictor configured to predict available energy using a battery energy based on a charging energy during battery charging and a battery energy based on a learned value of a state of health (SOH) of the battery; a distance calculator configured to calculate a driving distance using the predicted available energy and a previously learned fuel efficiency; and a controller configured to update information on the calculated driving distance.

[0010] The energy predictor predicts the battery energy using the charge energy and the change of the state of charge (SOC) during battery charging.

[0011] The energy predictor predicts the battery energy based on the learned value of the SOH by applying the learned value of the SOH during battery charging to the initial capacity of the battery.

[0012] At the time of initial charging of the battery, the energy predictor predicts available energy using an average value of the battery energy based on the charging energy and the battery energy based on the learned value of the SOH.

[0013] The energy predictor predicts available energy using battery energy based on charging energy during battery charging, battery energy based on a learned value of SOH, and an average value of available energy during previous battery charging.

[0014] When the learned value of the SOH is absent, the energy predictor predicts available energy using the battery energy based on the charging energy during battery charging and an average value of available energy during previous battery charging.

[0015] The controller is configured to send and output updated information of the calculated travel distance to the display.

[0016] The device further includes: an information collector configured to collect information on charging energy and state of charge (SOC) changes during battery charging.

[0017] According to another aspect of the present invention, a method for controlling a vehicle includes: predicting available energy using battery energy based on charging energy during battery charging and battery energy based on a learned value of a battery state of health (SOH); calculating a driving distance using the predicted available energy and previously learned fuel efficiency; and updating information on the calculated driving distance.

[0018] The step of predicting available energy includes predicting battery energy based on a change in charging energy and a state of charge (SOC) during battery charging.

[0019] The step of predicting the available energy includes predicting the battery energy based on the learned value of the SOH by applying the learned value of the SOH during battery charging to the initial capacity of the battery.

[0020] The step of predicting the available energy includes predicting the available energy using an average value of the battery energy based on the charging energy and the battery energy based on the learned value of the SOH when the battery is initially charged.

[0021] The step of predicting the available energy includes predicting the available energy using the battery energy based on the charging energy during battery charging, the battery energy based on the learned value of the SOH, and an average value of the available energy during previous battery charging.

[0022] The step of predicting the available energy includes predicting the available energy using an average value of the battery energy based on the charging energy during battery charging and the available energy during previous battery charging when the learned value of the SOH is absent.

[0023] The method further includes sending and outputting updated information of the travel distance to a display.

[0024] The method further includes: before predicting the available energy, collecting charging energy and a change in a state of charge (SOC) during battery charging.

[0025] According to another aspect of the present invention, a vehicle system includes: a battery management system; a vehicle control device configured to: collect charging information from the battery management system during battery charging; predict available energy using battery energy based on charging energy and battery energy based on a learned value of a battery state of health (SOH); calculate a driving distance using the predicted available energy and a previously learned fuel efficiency, and update the driving distance; and a display configured to output an updated driving distance. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] The above and other purposes, features and advantages of the present invention will become more apparent through the following detailed description of the embodiments in conjunction with the accompanying drawings:

[0027] Figure 1 is a block diagram showing the structure of a vehicle system according to an embodiment of the present invention;

[0028] Figure 2 is a block diagram showing a structure of an apparatus for controlling a vehicle according to an embodiment of the present invention;

[0029] Figure 3A and Figure 3B is a view showing an operation for explaining calculation of available energy of an apparatus for controlling a vehicle according to an embodiment of the present invention;

[0030] Figure 4 is a flowchart illustrating the operation of a method for controlling a vehicle according to an embodiment of the present invention; and

[0031] Figure 5is a block diagram illustrating a computing system that executes the method according to an embodiment of the present invention. DETAILED DESCRIPTION

[0032] It should be understood that the term "vehicle" or "vehicle-related" or other similar terms used herein include general motor vehicles, such as passenger vehicles including sport utility vehicles (SUVs), buses, trucks, various commercial vehicles, watercraft including various boats and ships, and aircraft, etc., and include hybrid vehicles, electric vehicles, plug-in hybrid electric vehicles, hydrogen-powered vehicles, and other alternative fuel vehicles (e.g., fuels obtained from resources other than petroleum). As mentioned herein, a hybrid vehicle is a vehicle having two or more power sources, such as a vehicle that has both gasoline power and electric power.

[0033] The terms used herein are only used to illustrate the purpose of specific embodiments, and are not intended to limit the present invention. As used herein, the singular forms "one", "one" and "the" are also intended to include plural forms, unless the context clearly indicates otherwise. It is further understood that when "including" and / or "comprising" are used in this specification, it refers to the existence of stated features, wholes, steps, operations, elements and / or parts, but does not exclude the existence or addition of one or more other features, wholes, steps, operations, elements, parts and / or their combinations. As used herein, the term "and / or" includes any and all combinations of one or more related listed items. Throughout the specification, unless clearly described to the contrary, the word "including" and its variations such as "including" or "comprising" will be understood to imply the inclusion of the elements described but do not exclude any other elements. In addition, the terms "unit", "-machine", "-device" and "module" described in the specification refer to the unit that processes at least one function and operation, and can be implemented by hardware or software and combinations thereof.

[0034] In addition, the control logic of the present invention may be embodied as a non-transitory computer-readable medium on a computer-readable medium containing executable program instructions executed by a processor, controller, etc. Examples of computer-readable media include, but are not limited to, ROM, RAM, compact disk (CD)-ROM, magnetic tape, floppy disk, flash drive, smart card, and optical data storage device. The computer-readable medium may also be distributed in a network-connected computer system so that the computer-readable medium is stored and executed in a distributed manner, such as by a telematics server or a controller area network (CAN).

[0035] Hereinafter, some embodiments of the present invention will be described in detail with reference to the accompanying drawings. When adding reference numerals to the elements of each drawing, it should be noted that the same reference numerals are always used to represent the same or equivalent elements, even if they are shown on other drawings. In addition, when describing the embodiments of the present invention, detailed descriptions of well-known features and functions will be excluded so as not to unnecessarily obscure the gist of the present invention.

[0036] Terms such as first, second, A, B, (a) and (b) etc. can be used to illustrate the elements in the embodiments of the present invention. These terms are only used to distinguish an element from another element, and the essence, order or sequence of these constituent elements are not limited by these terms. In addition, unless otherwise defined, all terms including technical and scientific terms used herein have the same meaning as those skilled in the art to which the present invention belongs are usually understood. Those terms defined in commonly used dictionaries should be interpreted as having the same meaning as the contextual meaning in the relevant field, and should not be interpreted as having an ideal or too formal meaning, unless clearly defined in the present application.

[0037] The present invention relates to a device and method for controlling a vehicle and a vehicle system. The vehicle to which the present invention is applied may include vehicles such as electric vehicles (EV), hybrid electric vehicles (HEV), plug-in hybrid electric vehicles (PHEV), etc., to drive a motor using battery energy.

[0038] Figure 1 is a block diagram showing the structure of a vehicle system according to an embodiment of the present invention.

[0039] Reference Figure 1 , the vehicle system may include a device for controlling a vehicle (hereinafter referred to as a “vehicle control device”) 100 , a battery management system (BMS) 200 , and a display 300 .

[0040] The vehicle control device 100 controls the overall operation of the vehicle.

[0041] Specifically, the vehicle control device 100 predicts available energy based on the charge energy during battery charging and a learned value of the state of health (SOH), calculates a running distance based on the predicted available energy, and updates the existing running distance.

[0042] In this case, the vehicle control device 100 may transmit the updated driving distance to the display 300 and inform the user of the driving distance.

[0043] In this case, the vehicle control device 100 may be implemented by a vehicle control unit (VCU) inside the vehicle.

[0044] The BMS 200 performs an operation related to performance of the battery, a stable operation, and an effective operation. The BMS 200 may provide the vehicle control device 100 with information related to charging of the battery, for example, a change in a state of charge (SOC) of the battery or charging energy.

[0045] The display 300 outputs detailed information provided by the vehicle control device 100. For example, the display 300 may display information about the travel distance of the vehicle. In this case, the display 300 may include a cluster instrument (CLU) or an audio, video, and navigation device (AVN).

[0046] In this case, when a touch sensor such as a touch film, a touch sheet, or a touch pad is included, the display 300 may be used as a touch screen and may be implemented in the integral form of an input device and an output device.

[0047] In this case, the display 300 may be implemented as at least one of a liquid crystal display (LCD), a thin film transistor-liquid crystal display (TFT LCD), an organic light emitting diode (OLED), a flexible display, a field emission display (FED), and a three-dimensional display (3D display).

[0048] According to the present invention, the vehicle control device 100 may be implemented inside the vehicle. In this case, the vehicle control device 100 may be integrated with the internal control unit of the vehicle. Alternatively, the vehicle control device 100 may be implemented separately from the internal control unit of the vehicle and may be connected to the internal control unit of the vehicle through an additional connection unit.

[0049] Figure 2 is a block diagram showing a structure of an apparatus for controlling a vehicle according to an embodiment of the present invention.

[0050] Reference Figure 2 , the vehicle control device 100 may include a controller 110, a communication device 130, a memory 140, an information collector 150, an energy predictor 160, and a distance calculator 170. In this case, according to the present embodiment, the controller 110, the communication device 130, the memory 140, the information collector 150, the energy predictor 160, and the distance calculator 170 may be implemented by at least one processor.

[0051] The controller 110 may process signals transmitted between components of the vehicle control device 100 .

[0052] The communication device 130 may include a communication module for communicating with electronic components and / or control units provided in the vehicle. For example, the communication module may communicate with the BMS 200 and may receive information related to the battery. In addition, the communication module may communicate with a display 300 such as an instrument cluster or an AVN and may send information on the driving distance determined in the last stage to the display 300.

[0053] In this case, the vehicle network communication technology may include a controller area network (CAN) communication technology, a local interconnect network (LIN) communication technology, or a FlexRay communication technology.

[0054] In this case, the communication device 130 may further include a module for wireless Internet access, or a module for short-range communication.

[0055] The memory 140 may store data and / or algorithms required for the operation of the vehicle control device 100 .

[0056] For example, the memory 140 may store the charging information of the battery received through the communication device 130. In addition, the memory 140 may store the information about the SOH learned in advance and / or the available energy information calculated previously.

[0057] Furthermore, the memory 140 may store a command and / or an algorithm that causes the vehicle control device 100 to predict the battery energy and calculate the available energy using the predicted battery energy and / or the learned value of the SOH.

[0058] In this case, the memory 140 may include storage media such as random access memory (RAM), static random access memory (SRAM), read only memory (ROM), programmable read only memory (PROM), electrically erasable programmable read memory, etc.

[0059] The information collector 150 may collect battery information such as SOC information or charging energy information, a learned value of SOH, and / or previously calculated available energy information.

[0060] The energy predictor 160 may predict the battery energy based on the battery information collected by the information collector 150. For example, the energy predictor 160 first predicts the battery energy using the charging energy according to the change in SOC. In this case, the energy predictor 160 may obtain a value by dividing the charging energy by the change in SOC as the first battery energy predicted based on the charging energy.

[0061] In addition, the energy predictor 160 predicts the second battery energy based on the learned value of the state of health (SOH) collected by the information collector 150. For example, the energy predictor 160 may predict the second battery energy as a value obtained by subtracting the decay energy from the initial energy of the battery based on the learned value of the SOH.

[0062] The energy predictor 160 may determine the available energy using the above-described predicted first battery energy based on the charging energy and the second battery energy based on the learned value of the SOH.

[0063] For example, when the battery is initially charged, the energy predictor 160 may obtain the initial available energy E0 based on Equation 1.

[0064] Equation 1:

[0065] Available energy (E0) = (battery energy based on charging energy + battery energy based on learned value of SOH) / 2

[0066] As shown in Equation 1, the initial available energy E0 may be an average value of a first battery energy based on the charging energy and a second battery energy based on the learned value of the SOH.

[0067] When charging is performed after initial charging, the energy predictor 160 may obtain the first available energy E1 based on Equation 2 when there is a previously learned value of the SOH.

[0068] Equation 2:

[0069] Available energy (E1) = (previous available energy + battery energy based on charging energy + battery energy based on learned value of SOH) / 3

[0070] As shown in Equation 2, the first available energy E1 may be obtained as an average value of available energy calculated in previous charging, first battery energy based on charging energy, and second battery energy based on a learned value of SOH.

[0071] In this case, since the first available energy is obtained by reflecting the previous available energy and the battery energy based on the charging energy and the battery energy based on the learned value of SOH at a ratio of 1:1:1, the available energy can be predicted more accurately.

[0072] Meanwhile, when charging is performed after the initial charging, in the absence of a previously learned value of the SOH, the energy predictor 160 may obtain the second available energy based on Equation 3 below.

[0073] Equation 3:

[0074] Available energy (E2) = (previous available energy + battery energy based on charging energy) / 2

[0075] As shown in Equation 3, the second available energy E2 may be obtained as an average value of the previously charged calculated available energy and the first battery energy based on the charging energy.

[0076] In this case, even without learning the SOH, the available energy can be predicted more accurately by reflecting the latest value based on the moving average.

[0077] Therefore, reference will be made to Figure 3A and Figure 3B An embodiment of predicting the available energy for each situation is described.

[0078] Figure 3A A table showing information on settings associated with a battery when the battery is charged. Figure 3A The table shown contains the following information definitions: SOC change rate (%), charging energy (kWH), battery energy based on the charging energy, and SOH learning value for each charging date. The reference numeral 311 denotes the SOH learning value.

[0079] Reference Figure 3A , when the battery was initially charged on March 9, the rate of change of SOC was 43%, the charging energy was 8.8 kWH, the battery energy predicted based on the charging energy was 20.465 kWH, and the learned value of SOH during battery charging was 100% (0%; deterioration).

[0080] The learned value of SOH on June 5th is 83% (17%; deteriorated), as shown in reference numeral 324 , and on August 4th is 75% (25%; deteriorated), see reference numeral 325 .

[0081] On April 8 and May 6, however, there are no learned values ​​of SOH, see reference numerals 322 and 323 .

[0082] exist Figure 3B Based on Figure 3A The table below shows the predicted results of available energy. Figure 3B In the table, item A represents the predicted value of available energy according to the present invention, and item B represents the predicted value of available energy according to the conventional scheme.

[0083] Reference numerals 332 and 333 denote predicted values ​​of available energy on April 8 and May 6 in which the learned value of SOH is absent.

[0084] According to the conventional scheme, since the SOH of the battery is not reflected in the available energy prediction values ​​on April 8 and May 6 (no learned value of SOH), the available energy prediction values ​​on April 8 and May 6 are the same as the initial available energy indicated by reference numeral 331.

[0085] However, according to the present invention, since the predicted values ​​of available energy on April 8 and May 6 without the learned value of SOH are predicted using the first battery energy based on the previous available energy and the charging energy as in Equation 3, more accurate values ​​can be obtained compared to the conventional scheme.

[0086] Reference numerals 334 and 335 denote predicted values ​​of available energy with the learned values ​​of SOH on June 6 and August 4.

[0087] According to the conventional scheme, the predicted values ​​of available energy on June 6 and August 4 with the learned values ​​of SOH are obtained by reflecting the learned values ​​of SOH in the initial battery capacity.

[0088] According to the present invention, the predicted values ​​of available energy on June 6 and August 4 with the learned value of SOH are obtained by reflecting the previous available energy, the first battery energy based on charging, and the second battery energy based on the learned value of SOH in a ratio of 1:1:1. Therefore, more accurate values ​​can be obtained compared with conventional schemes.

[0089] The distance calculator 170 calculates the driving distance based on the available energy predicted by the energy predictor 160 .

[0090] In this case, the distance calculator 170 may calculate the travel distance by applying the learned fuel efficiency to any one of the initial available energy E0 , the first available energy E1 , and the second available energy E2 .

[0091] The distance calculator 170 stores information about the travel distance in the memory 140. In this case, when there is information about the previously calculated travel distance, the distance calculator 170 updates the previously stored information using the information of the newly calculated travel distance.

[0092] When the information about the driving distance is updated, the controller 110 transmits the information about the driving distance to the display 300 through the communication device 130. Therefore, the display 300 outputs the driving distance information received through the communication device 130 to the screen to inform the user of the driving distance information.

[0093] In addition, the controller 110 may transmit updated driving distance information to a system for controlling the operation of the vehicle by utilizing the driving distance information.

[0094] According to the present embodiment, each device of the vehicle system operating as described above may be implemented in the form of an independent hardware device including a memory and a processor to process each operation, and may be run in the form of being included in another hardware device such as a microprocessor or a general-purpose computer system.

[0095] Next, a flow chart describing the operation of the apparatus according to the present invention will be described.

[0096] Figure 4 is a flowchart illustrating the operation of a method for controlling a vehicle according to an embodiment of the present invention.

[0097] Reference Figure 4 When the battery starts to be charged (S110), the vehicle control device 100 collects charging information (S120). In this case, the collected charging information may include the battery SOC and information about charging energy.

[0098] The vehicle control device 100 predicts the battery energy based on the charging energy acquired in step S120 (S130). In this case, the vehicle control device 100 may predict the battery energy based on a value obtained by dividing the charging energy by the amount of change in SOC.

[0099] Thereafter, the vehicle control device 100 predicts available energy using the battery energy predicted in S130. In this case, the vehicle control device 100 determines whether there is a previously learned value of SOH (S140). If there is a learned value of SOH, as shown in Equation 2, the available energy is predicted using the previous available energy, the first battery energy based on the current charging energy, and the second battery energy based on the learned value of SOH (S150). If there is no learned value of SOH, the available energy is predicted based on the previous available energy and the first battery energy based on the current charging energy as shown in Equation 3 (S160).

[0100] Furthermore, in the case of initial charging, available energy may be predicted based on values ​​other than previously available energy.

[0101] When the predicted value of available energy is obtained, the vehicle control device 100 calculates the travel distance based on the available energy ( S170 ) and updates the information of the travel distance calculated in S170 ( S180 ).

[0102] Figure 5 is a block diagram illustrating a computing system that executes the method according to an embodiment of the present invention.

[0103] Reference Figure 5 , the computing system 1000 may include at least one processor 1100 , a memory 1300 , a user interface input device 1400 , a user interface output device 1500 , a storage device 1600 , and a network interface 1700 , which are connected to each other via a system bus 1200 .

[0104] The processor 1100 may be a central processing unit (CPU) or a semiconductor device for processing instructions stored in the memory 1300 and / or the storage device 1600. Each of the memory 1300 and the storage device 1600 may include various types of volatile or non-volatile storage media. For example, the memory 1300 may include a read-only memory (ROM; see 1310) and a random access memory (RAM; see 1320).

[0105] Therefore, the operation of the method or algorithm described in conjunction with the embodiments disclosed in the present invention can be directly implemented using a hardware module, a software module, or a combination thereof executed by the processor 1100. The software module may reside on a storage medium (i.e., memory 1300 and / or storage device 1600) such as RAM, flash memory, ROM, erasable programmable ROM (EPROM), electric EPROM (EEPROM), register, hard disk, removable optical disk or optical disk (CD-ROM). An exemplary storage medium may be coupled to the processor 1100. The processor 1100 may read information from the storage medium and may write information in the storage medium. Alternatively, the storage medium may be integrated with the processor 1100. The processor and the storage medium may reside in an application specific integrated circuit (ASIC). The ASIC may reside in a user terminal. Alternatively, the processor and the storage medium may reside in a user terminal as separate components.

[0106] As described above, according to the present invention, regardless of when the battery is charged, the SOH of the battery can be accurately measured by calculating the running distance based on the predicted battery energy without knowing the SOH, thereby improving the reliability of the information of the running distance.

[0107] Although the present invention has been described above with reference to the exemplary embodiments and the accompanying drawings, the present invention is not limited thereto but may be variously modified and changed by those skilled in the art without departing from the spirit and scope of the present invention as claimed in the following claims.

[0108] Therefore, the embodiments of the present invention are not intended to limit the technical idea of ​​the present invention, but are provided for exemplary purposes only. The protection scope of the present invention should be interpreted by the appended claims, and all equivalent forms thereof should be interpreted as being included within the scope of the present invention.

Claims

1. A device for controlling a vehicle, the device comprising: an energy predictor configured to predict available energy using a battery energy based on a charge energy during battery charging and a battery energy based on a learned value of a state of health SOH of the battery; a distance calculator configured to calculate a travel distance using the predicted available energy and a previously learned fuel efficiency; as well as a controller configured to update information about the calculated travel distance, Wherein, when the battery is initially charged, the energy predictor uses an average value of the battery energy based on the charging energy and the battery energy based on the learning value of the SOH to predict the available energy, or wherein the energy predictor predicts the available energy using an average of the battery energy based on the charging energy during battery charging, the battery energy based on the learned value of SOH, and the available energy calculated during a previous battery charging period, or Wherein, when the learned value of the SOH is missing, the energy predictor predicts the available energy using an average value of the battery energy based on the charging energy during battery charging and the available energy calculated during a previous battery charging period.

2. The device according to claim 1, wherein: The energy predictor predicts the battery energy using the charge energy and a change in the state of charge (SOC) during battery charging. 3 . The apparatus of claim 1 , wherein the energy predictor predicts the battery energy based on the learned value of the SOH during battery charging by applying the learned value of the SOH to the initial capacity of the battery.

4. The device according to claim 1, wherein: The controller is configured as follows: Updated information on the calculated travel distance is sent and output to the display.

5. The apparatus of claim 1, further comprising: The information collector is configured to collect information on charging energy and charging state SOC changes during charging of the battery.

6. A method for controlling a vehicle, the method comprising the following steps: predicting available energy using, by an energy predictor, a battery energy based on a charge energy during battery charging and a battery energy based on a learned value of a state of health (SOH) of the battery; calculating the driving distance using the predicted available energy and the previously learned fuel efficiency via a distance calculator; as well as By means of the controller, the information of the calculated driving distance is updated. Wherein, the step of predicting available energy comprises: When the battery is initially charged, the available energy is predicted using an average value of the battery energy based on the charging energy and the battery energy based on the learned value of the SOH, or The available energy is predicted using an average value of the battery energy based on the charging energy during battery charging, the battery energy based on the learned value of SOH, and the available energy calculated during a previous battery charging period, or When the learned value of the SOH is absent, the available energy is predicted using an average value of the battery energy based on the charging energy during battery charging and the available energy calculated during a previous battery charging period.

7. The method of claim 6, wherein: The step of predicting available energy comprises: The battery energy is predicted based on changes in the charging energy and the state of charge (SOC) during battery charging.

8. The method of claim 6, wherein: The step of predicting available energy comprises: By applying the learned value of the SOH during battery charging to the initial capacity of the battery, the battery energy is predicted based on the learned value of the SOH.

9. The method of claim 6, further comprising: The updated information of the travel distance is sent and output to a display.

10. The method of claim 6, further comprising: Before the step of predicting the available energy, the charging energy and the change of the state of charge SOC during the battery charging are collected.

11. A vehicle system comprising: Battery management system; A vehicle control device, which is configured as follows: During the battery charging process, collecting charging information from the battery management system; Predicting available energy using a battery energy based on the charging energy and a battery energy based on a learned value of the battery state of health SOH; Calculate driving distance using the predicted available energy and previously learned fuel efficiency, and Update driving distance; as well as a display configured to output an updated distance traveled, Wherein, the step of predicting available energy comprises: When the battery is initially charged, the available energy is predicted using an average value of the battery energy based on the charging energy and the battery energy based on the learned value of the SOH, or The available energy is predicted using an average value of the battery energy based on the charging energy during battery charging, the battery energy based on the learned value of SOH, and the available energy calculated during a previous battery charging period, or When the learned value of the SOH is absent, the available energy is predicted using an average value of the battery energy based on the charging energy during battery charging and the available energy calculated during a previous battery charging period.

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