Apparatus and method for controlling battery, and battery system for vehicle including same

Abstract

A battery system for a vehicle according to an embodiment of the present invention comprises: a battery; at least one capacitor connected in parallel with the battery; a switch connected between the battery and the capacitor; and a battery control device for controlling an electrical connection between the battery and the capacitor by controlling operation of the switch in consideration of at least one of a control signal of the vehicle or state information of the battery.

Description

Battery control device and method, and vehicle battery system including the same

[0001] This application claims the benefit of the filing date of Korean Patent Application No. 10-2024-0123677 filed with the Korean Intellectual Property Office on September 11, 2024, and all contents disclosed in the document of said Korean patent application are incorporated into this specification.

[0002] The present invention relates to a battery control device and method, and a vehicle battery system including the same. More specifically, the invention relates to a battery control device and method for controlling capacitor connections to compensate for a voltage drop of a battery occurring under low temperature conditions, and a vehicle battery system including the same.

[0003] As fossil fuels become depleted and concerns about environmental pollution intensify, the importance of eco-friendly alternative energy sources is gradually increasing. Among various alternative energy sources, the demand for rechargeable secondary batteries is rising rapidly.

[0004] Secondary batteries are being applied in various industrial fields, ranging from mobile devices to vehicles, robots, and energy storage devices, as a response to environmental regulations and high oil prices.

[0005] Among secondary batteries, lithium-ion batteries are gaining attention due to their advantages over nickel-based secondary batteries, such as having almost no memory effect, a low self-discharge rate, and high energy density.

[0006] However, due to the chemical properties of lithium ions, lithium secondary batteries have the disadvantage of causing a sudden voltage drop when operated in a low-temperature environment.

[0007] Consequently, secondary batteries used in vehicles are experiencing a problem where they fail to start in low-temperature environments.

[0008] The objective of the present invention to solve the above-mentioned problems is to provide a vehicle battery system.

[0009] Another objective of the present invention to solve the above-mentioned problems is to provide a battery control device.

[0010] Another objective of the present invention to solve the above-mentioned problems is to provide a battery control method.

[0011] Another objective of the present invention to solve the above-mentioned problems is to provide a medium for recording a program for executing a battery control method on a computer.

[0012] According to one embodiment of the present invention for achieving the above objective, a vehicle battery system applied to a vehicle comprises a battery, at least one capacitor connected in parallel with the battery, a switch connected between the battery and the capacitor, and a battery control device that controls the electrical connection between the battery and the capacitor by controlling the operation of the switch by considering at least one of a control signal of the vehicle and state information of the battery.

[0013] Here, the switch may include a master switch and a plurality of slave switches, one end of which is connected to the master switch and the other end of which is connected in series with at least one capacitor.

[0014] According to one embodiment, the battery control device can control the master switch to a turn-on state when a predetermined low temperature condition is satisfied, based on a control signal of the vehicle and first state information of the battery.

[0015] Meanwhile, according to another embodiment, the battery control device inputs second state information of the battery into a pre-learned prediction model to obtain a capacitance value as an output value, and can control at least one of the slave switches to a turn-on state based on the output value.

[0016] At this time, each of the slave switches can be controlled using a predefined control map such that the switching control information of the slave switches considers the capacitance value of at least one capacitor individually connected to the slave switches and outputs a capacitance value corresponding to the output value.

[0017] Meanwhile, the first state information may include at least one of the State of Charge (SOC), voltage, current, and temperature of the battery.

[0018] In addition, the second state information may include at least one of the battery's SOC (State of charge), voltage, current, temperature, voltage change amount, and voltage change amount per unit time.

[0019] In addition, the above prediction model may be a model that predicts the amount of voltage reduction of the battery occurring under the low temperature conditions by a machine learning-based gradient boosting technique and outputs a capacitance value to compensate for this.

[0020]

[0021] According to another embodiment of the present invention for achieving the above objective, a battery control device for controlling an electrical connection between a battery and a capacitor within a battery system applied to a vehicle comprises a processor and a memory including at least one instruction performed by the processor, wherein the at least one instruction includes a command to collect at least one of a control signal of the vehicle and state information of the battery, and a command to control the operation of a switch connected between the battery and the capacitor by taking into account at least one of the collected control signal of the vehicle and state information of the battery.

[0022] Here, a command to control the operation of the switch may include a command to control the master switch to a turn-on state when a predetermined low temperature condition is satisfied based on the control signal of the vehicle and the first state information of the battery, and a command to control at least one of the slave switches to a turn-on state using a predetermined prediction model.

[0023] Additionally, a command to control at least one of the slave switches to a turn-on state may include a command to input second state information of the battery into the prediction model to obtain a capacitance value as an output value, a command to check switching control information of the slave switches corresponding to the capacitance value using a predefined control map, and a command to control at least one of the slave switches to a turn-on state based on the switching control information.

[0024] At this time, the first state information may include at least one of the State of Charge (SOC), voltage, current, and temperature of the battery.

[0025] In addition, the second state information may include at least one of the battery's SOC (State of charge), voltage, current, temperature, voltage change amount, and voltage change amount per unit time.

[0026] Meanwhile, the above prediction model may be a model that predicts the amount of voltage reduction of the battery occurring under the low temperature conditions by a machine learning-based gradient boosting technique and outputs a capacitance value to compensate for it.

[0027]

[0028] According to another embodiment of the present invention for achieving the above objective, a battery control method for controlling an electrical connection between a battery and a capacitor in a battery system applied to a vehicle comprises the steps of collecting at least one of a control signal of the vehicle and state information of the battery, and controlling the operation of a switch connected between the battery and the capacitor by considering at least one of the collected control signal of the vehicle and state information of the battery.

[0029] Here, the step of controlling the operation of the switch may include the step of controlling the master switch to a turn-on state when a predetermined low temperature condition is satisfied based on the control signal of the vehicle and the first state information of the battery, and the step of controlling at least one of the slave switches to a turn-on state using a predetermined prediction model.

[0030] Additionally, the step of controlling at least one of the slave switches to a turn-on state may include the step of inputting second state information of the battery into the prediction model to obtain a capacitance value as an output value, the step of verifying switching control information of the slave switches corresponding to the capacitance value using a predefined control map, and the step of controlling at least one of the slave switches to a turn-on state based on the switching control information.

[0031] At this time, the first state information may include at least one of the State of Charge (SOC), voltage, current, and temperature of the battery.

[0032] In addition, the second state information may include at least one of the battery's SOC (State of charge), voltage, current, temperature, voltage change amount, and voltage change amount per unit time.

[0033] Meanwhile, the above prediction model may be a model that predicts the amount of voltage reduction of the battery occurring under the low temperature conditions by a machine learning-based gradient boosting technique and outputs a capacitance value to compensate for it.

[0034] A battery control device and method according to an embodiment of the present invention, and a vehicle battery system including the same, can provide a battery control device and method with improved safety and efficiency, and a vehicle battery system including the same, by using a pre-learned prediction model to calculate a capacitance value of a capacitor to compensate for a voltage drop of the battery predicted to occur under low temperature conditions, and by controlling a switch to connect a capacitor of a corresponding size to the battery.

[0035] FIG. 1 is a block diagram of a vehicle battery system to which an embodiment of the present invention can be applied.

[0036] FIG. 2 is a block diagram of a battery system according to an embodiment of the present invention.

[0037] FIG. 3 is a conceptual diagram illustrating a switch within a battery control device according to an embodiment of the present invention.

[0038] FIG. 4 is a block diagram of a battery control device according to an embodiment of the present invention.

[0039] FIG. 5 is a flowchart for explaining a battery control method according to an embodiment of the present invention.

[0040] FIG. 6 is a flowchart illustrating the step of controlling a switch operation among the battery control method according to an embodiment of the present invention.

[0041] FIG. 7 is a block perspective view illustrating a prediction model among battery control methods according to an embodiment of the present invention.

[0042] FIG. 8 is a graph illustrating a prediction model among battery control methods according to an embodiment of the present invention.

[0043] FIG. 9 is an image of a control map according to an embodiment of the present invention.

[0044] 100: Battery 200: Capacitor

[0045] 300: Switch 400: Battery control unit

[0046] 410: Memory 420: Processor

[0047] 430: Transmitter / Receiver 440: Input Interface Device

[0048] 450: Output interface device 460: Storage device

[0049] 470: Bus

[0050] The present invention is susceptible to various modifications and may have various embodiments; specific embodiments are illustrated in the drawings and described in detail in the detailed description. However, this is not intended to limit the invention to specific embodiments, and it should be understood that the invention includes all modifications, equivalents, and substitutions that fall within the spirit and scope of the invention. Similar reference numerals have been used for similar components in the description of each drawing.

[0051] Terms such as first, second, A, B, etc., may be used to describe various components, but said components shall not be limited by said terms. These terms are used solely for the purpose of distinguishing one component from another. For example, without departing from the scope of the present invention, the first component may be named the second component, and similarly, the second component may be named the first component. The term "and / or" includes a combination of a plurality of related described items or any of a plurality of related described items.

[0052] When it is stated that one component is "connected" or "connected" to another component, it should be understood that while it may be directly connected or connected to that other component, there may also be other components in between. On the other hand, when it is stated that one component is "directly connected" or "directly connected" to another component, it should be understood that there are no other components in between.

[0053] The terms used in this application are used merely to describe specific embodiments and are not intended to limit the invention. The singular expression includes the plural expression unless the context clearly indicates otherwise. In this application, terms such as "comprising" or "having" are intended to specify the presence of the features, numbers, steps, actions, components, parts, or combinations thereof described in the specification, and should be understood as not precluding the existence or addition of one or more other features, numbers, steps, actions, components, parts, or combinations thereof.

[0054] Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as generally understood by those skilled in the art to which the present invention pertains. Terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with their meaning in the context of the relevant technology, and should not be interpreted in an ideal or overly formal sense unless explicitly defined in this application.

[0055]

[0056] FIG. 1 is a block diagram of a vehicle battery system to which an embodiment of the present invention can be applied.

[0057] Referring to FIG. 1, a battery may be configured to include a plurality of battery cells connected in series. A battery cell or module may be connected to a load through a positive terminal and a negative terminal to perform charging and discharging operations. The most commonly used battery cell is a lithium-ion (Li-Ion) battery cell.

[0058] These battery cells or battery modules can be linked with a Battery Management System (BMS).

[0059] A Battery Management System (BMS) monitors the current, voltage, and temperature of each battery cell or module under its control, calculates the Status of Charge (SOC) based on the monitoring results, and controls charging and discharging. Here, State of Charge (SOC) is the battery's currently charged state expressed as a percentage, and State of Health (SOH) is the battery's current degradation state expressed as a percentage.

[0060] As such, the Battery Management System (BMS) can monitor battery cells, read cell voltages, and transmit them to other systems connected to the battery.

[0061] In addition, the battery management device (BMS) can transmit status data of at least one electrical component constituting the battery system to another device by monitoring it. To this end, the battery management device (BMS) may include a communication module for communicating with another device within the device included in the battery system.

[0062] The communication module of the battery management device (BMS) can communicate with other systems within the device using a Controller Area Network (CAN). In this case, electrical components, modules, or systems within the battery management device (BMS) are connected to each other via a CAN bus. Accordingly, the battery management device (BMS) can remotely transmit status data obtained through monitoring of a battery pack or module and at least one electrical component constituting the battery management device (BMS) to another system using CAN communication.

[0063] Meanwhile, the battery management system (BMS) balances the charge of the battery cells evenly to extend the lifespan of the battery system.

[0064] To perform such operations, a battery management device (BMS) may include various components such as fuses, current sensing elements, thermistors, switches, and balancers, and in most cases, it additionally includes a Micro Controller Unit (MCU) or a Battery Monitoring Integrated Chip (BMIC) to interact with and control them. Here, the BMIC may be an IC-type component located inside the battery management device (BMS) that measures information such as voltage, temperature, and current of a battery cell / module.

[0065] Meanwhile, the battery control device according to an embodiment of the present invention is provided as a component of a battery management device (BMS) and can control the connection with a capacitor to compensate for the voltage reduction of the battery under low temperature conditions.

[0066] Hereinafter, preferred embodiments according to the present invention will be described in more detail with reference to the attached drawings.

[0067]

[0068] FIG. 2 is a block diagram of a battery system according to an embodiment of the present invention.

[0069] Referring to FIG. 2, the battery system (S) may be a system that controls the connection between the battery (100) and the capacitor (200) to compensate for the voltage reduction of the battery (100) that is expected to occur under low temperature conditions, and is applied to a vehicle.

[0070] According to the embodiment, the battery system (S) may include a battery (100), a capacitor (200), a switch (300), and a battery control device (400).

[0071] To explain in more detail by configuration, the battery (100) may be provided in the form of a battery cell or a battery assembly. Here, a battery assembly may refer to a collection comprising a plurality of electrically connected battery cells that functions as a power source when applied to a specific system or device. For example, a battery assembly may be a battery module, but the scope of the present invention is not limited to the described object.

[0072] The capacitor (200) can be connected to the battery (100). According to an embodiment, the positive terminal of the capacitor (200) can be connected to the positive terminal of the battery (100) by a positive power line, and the negative terminal of the capacitor (200) can be connected to the negative terminal of the battery (100) by a negative power line. In other words, the capacitor (200) can be connected in parallel with the battery (100).

[0073] The capacitor (200) can store electric charge during the operation of the vehicle. In other words, the capacitor (200) can store electrical energy between the positive and negative electrodes by means of a power voltage delivered through the positive power line and the negative power line.

[0074] A switch (300) can be connected between a battery (100) and a capacitor (200), which are connected by a positive power line. According to an embodiment, one end of the switch (300) can be connected to the positive terminal of the battery (100), and the other end of the switch (300) can be connected to the positive terminal of the capacitor (200).

[0075] The switch (300) can be controlled to turn on / off by a battery control device (400) to be described later. Accordingly, the switch (300) can control the electrical connection between the battery (100) and the capacitor (200).

[0076] According to one embodiment, when the switch (300) is turned on by the battery control device (400) to be described later, the battery (100) and the capacitor (200) can be electrically connected. Accordingly, the charge stored at both ends of the capacitor (200) can move to the battery (100) along the positive power line. In other words, current can flow between the battery (100) and the capacitor (200).

[0077] According to another embodiment, when the switch (300) is turned off by the battery control device (400) to be described later, the battery (100) and the capacitor (200) may be electrically disconnected.

[0078]

[0079] FIG. 3 is a conceptual diagram illustrating a switch within a battery control device according to an embodiment of the present invention.

[0080] Referring to FIGS. 2 and FIGS. 3, the switch (300) may include a master switch (310) and a plurality of slave switches (320-1 to 320-N).

[0081] More specifically, one end of the master switch (310) is connected to the battery (100) through a positive power line, and the other end of the master switch (310) can be connected to one end of a plurality of slave switches (320-1 to 320-N).

[0082] The master switch (310) can be turned on by the battery control device (400) described later when a predetermined low temperature condition is satisfied.

[0083] Meanwhile, one end of a plurality of slave switches (320-1 to 320-N) is individually connected to the other end of a master switch (310), and the other end of a plurality of slave switches (320-1 to 320-N) can be individually connected to the positive terminals of different capacitors (200). In other words, a plurality of slave switches (320-1 to 320-N) can be connected in parallel with each other.

[0084] Here, a plurality of slave switches (320-1 to 320-N) can each be connected to at least one capacitor (200) having a different capacitance.

[0085] According to an embodiment, at least one capacitor (200) may be connected to each of the plurality of slave switches (320-1 to 320-N) in at least one form, either in series or in parallel. Accordingly, the battery control device (400) described later can individually control the On / Off operation of the plurality of slave switches (320-1 to 320-N) by considering the capacitance of the at least one capacitor (200) connected to each of the plurality of slave switches (320-1 to 320-N). Here, the at least one capacitor (200) connected to the plurality of slave switches (320-1 to 320-N) may each have the same capacitance but may be connected in different quantities.

[0086]

[0087] Referring again to FIG. 2, the battery control device (400) can be connected to the battery (100). Accordingly, the battery control device (400) can obtain status information of the battery (100) through a sensing line.

[0088] Additionally, the battery control unit (400) can obtain a vehicle control signal by communicating with the vehicle. For example, the vehicle control signal may include a start signal and a sudden output signal generated in a low-temperature environment.

[0089] Meanwhile, the battery control device (400) can be electrically connected to the switch (300). Accordingly, the battery control device (400) can transmit an On / Off operation control signal of the switch (300) to the switch (300).

[0090] According to an embodiment, the battery control device (400) can control the master switch (310) and a plurality of slave switches (320) in stages.

[0091] More specifically, the battery control device (400) is connected to the master switch (310) and can primarily control the operation of the master switch (310). For example, the battery control device (400) can transmit a first switching control signal to the master switch (310) when the master switch (310) satisfies a predetermined low-temperature condition based on the vehicle control signal and the first state information of the battery (100). Accordingly, the master switch (310), upon receiving the first switching control signal, can be turned on. Here, the first state information of the battery may include at least one of the battery's SOC (State of charge), voltage, current, and temperature.

[0092] Subsequently, when the master switch (310) is turned on, the battery control device (400) can secondarily control the operation of each of the plurality of slave switches (320). For example, the battery control device (400) may input second state information of the battery (100) into a pre-learned prediction model and, based on the capacitance value output therefrom, transmit a second switching control signal to at least one of the plurality of slave switches (320). Accordingly, at least one slave switch (320) that receives the second switching control signal may be turned on. Here, the second state information of the battery may include at least one of the battery's SOC (State of charge), voltage, current, temperature, voltage change amount, and voltage change amount per unit time. Additionally, the pre-learned prediction model may be a model that predicts the voltage drop of the battery occurring under low temperature conditions and outputs the corresponding capacitance value. For example, a prediction model can be pre-trained by a machine learning-based gradient boosting technique.

[0093]

[0094] FIG. 4 is a block diagram of a battery control device according to an embodiment of the present invention.

[0095] Referring to FIG. 4, the battery control device (400) may include a memory (410), a processor (420), a transceiver (430), an input interface device (440), an output interface device (450), and a storage device (460).

[0096] According to the embodiment, each component (410, 420, 430, 440, 450, 460) included in the battery control device (400) can communicate with each other by being connected by a bus (470).

[0097] Among the above configurations (410, 420, 430, 440, 450, 460), the memory (410) and the storage device (460) may be composed of at least one of a volatile storage medium and a non-volatile storage medium.

[0098] Additionally, the memory (410) and storage device (460) may be composed of at least one of a volatile / transitory storage medium and a non-volatile / non-transitory storage medium. For example, the memory (410) and storage device (460) may be composed of at least one of a read-only memory (ROM) and a random access memory (RAM), and may include an EEPROM (Electrically Erasable Programmable Read-only Memory).

[0099] Among these, the memory (410) may include at least one instruction executed by the processor (420). According to an embodiment, the at least one instruction includes a instruction to collect at least one of the vehicle's control signal and the battery's state information, and a instruction to control the operation of a switch connected between the battery and the capacitor by taking into account at least one of the collected vehicle's control signal and the battery's state information.

[0100] Here, a command to control the operation of the switch may include a command to control the master switch to a turn-on state when a predetermined low temperature condition is satisfied based on the control signal of the vehicle and the first state information of the battery, and a command to control at least one of the slave switches to a turn-on state using a predetermined prediction model.

[0101] Additionally, a command to control at least one of the slave switches to a turn-on state may include a command to input second state information of the battery into the prediction model to obtain a capacitance value as an output value, a command to check switching control information of the slave switches corresponding to the capacitance value using a predefined control map, and a command to control at least one of the slave switches to a turn-on state based on the switching control information.

[0102] At this time, the first state information may include at least one of the State of Charge (SOC), voltage, current, and temperature of the battery.

[0103] In addition, the second state information may include at least one of the battery's SOC (State of charge), voltage, current, temperature, voltage change amount, and voltage change amount per unit time.

[0104] Meanwhile, the above prediction model may be a model that predicts the amount of voltage reduction of the battery occurring under the low temperature conditions by a machine learning-based gradient boosting technique and outputs a capacitance value to compensate for it.

[0105] Meanwhile, the processor (420) may mean a central processing unit (CPU), a graphics processing unit (GPU), or a dedicated processor on which the methods according to embodiments of the present invention are performed.

[0106] As previously described, the processor (420) can execute at least one program command stored in memory (410).

[0107] The battery control device according to the embodiment of the present invention has been described above. Below, a battery control method performed by a process operation within the battery control device will be described.

[0108]

[0109] FIG. 5 is a flowchart for explaining a battery control method according to an embodiment of the present invention.

[0110] Referring to FIG. 5, the processor (420) of the battery control unit (400) can obtain at least one of the vehicle control signal and the state information of the battery (100) to check low temperature conditions (S510).

[0111] According to an embodiment, the vehicle control signal may include a vehicle start signal. For example, the processor (420) may receive the vehicle start signal via communication.

[0112] Additionally, the state information of the battery (100) may include at least one of the current (I), temperature (T), voltage change amount (△V), and voltage change amount per unit time (dV / dt) of the battery (100). Here, the voltage change amount (△V) may be the value obtained by subtracting a predetermined lower limit voltage value from the voltage (V). For example, the processor (420) may obtain the state information of the battery (100) through a sensing line.

[0113] However, not limited to what is disclosed, the processor (420) may receive a sudden operation signal of a cooling device (not shown) or a battery output signal above a reference value via communication to check for low temperature conditions.

[0114] Subsequently, the processor (420) can control the operation of the switch (400) based on at least one of the acquired vehicle control signal and the state information of the battery (100) (S520). Accordingly, the processor (420) can control the electrical connection between the battery (100) and the capacitor (200).

[0115]

[0116] FIG. 6 is a flowchart illustrating the step of controlling a switch operation among the battery control method according to an embodiment of the present invention.

[0117] Referring to FIG. 6, the processor (420) can determine whether the vehicle is in a discharged state based on whether a vehicle control signal is received (S610). Here, the vehicle control signal may be a vehicle start signal.

[0118] Afterwards, if the vehicle is in a discharged state, the processor (420) can check whether the low temperature condition is satisfied based on the first state information of the battery (100) (S620).

[0119] Here, the first state information of the battery (100) may include at least one of the SOC (State of charge), voltage, current, and temperature of the battery.

[0120] Additionally, low temperature conditions may be defined such that the voltage of the battery (100) is less than a first threshold value or the State of Charge (SOC) of the battery (100) is less than a second threshold value, the temperature (T) of the battery (100) is less than a third threshold value, and the magnitude (I) of the current of the battery (100) is less than a fourth threshold value. Here, the first threshold value may be 3.2V, the second threshold value may be 10%, the third threshold value may be minus 30℃, and the fourth threshold value may be 0A (Ampere). Accordingly, the processor (420) can determine that the vehicle is operating in a low temperature environment.

[0121] Afterwards, the processor (420) can transmit a first switching control signal to the master switch (310) when the low temperature condition is satisfied (S630). Accordingly, the master switch (310) can be operated in a Turn-On state.

[0122] Afterwards, when the master switch (310) is controlled to turn on, the processor (420) can obtain a capacitance value to compensate for the voltage reduction of the battery (100) that occurs under low temperature conditions using a pre-learned prediction model (S640).

[0123] Afterwards, the processor (420) can identify at least one slave switch (320) connected to at least one capacitor (200) having a size corresponding to the capacitance value (S650)

[0124] According to an embodiment, the processor (420) can identify at least one slave switch (320) corresponding to the capacitance value using a predefined control map.

[0125] Afterward, the processor (420) can transmit a second switching control signal to the identified at least one slave switch (320) (S660). Accordingly, the at least one slave switch (320) can be controlled to a Turn-On state.

[0126]

[0127] FIG. 7 is a block perspective view for explaining a prediction model among battery control methods according to an embodiment of the present invention, and FIG. 8 is a graph for explaining a prediction model among battery control methods according to an embodiment of the present invention.

[0128] Referring to FIGS. 7 and 8, the prediction model may be a learning model that is pre-trained to predict the amount of voltage reduction of the battery (100) occurring under low temperature conditions and to output a capacitance value required to compensate for this. For example, the prediction model may be a model that is pre-trained to minimize the loss function by a machine learning-based gradient boosting technique.

[0129] According to an embodiment, the processor (420) can obtain the capacitance value by inputting the second state information of the battery (100) into a pre-learned prediction model.

[0130] For example, to explain in more detail, the processor (420) can obtain the capacitance value as an output value by inputting, as input values ​​of the prediction model, either the voltage (V) or the SOC of the battery, which is the second state information of the battery (100), and the current (I), temperature (T), voltage change amount (△V), and voltage change amount per unit time (dV / dt) of the battery. Here, the voltage change amount (△V) may be the value obtained by subtracting a predetermined lower limit voltage value from the voltage (V).

[0131]

[0132] FIG. 9 is an image of a control map according to an embodiment of the present invention.

[0133] The control map in FIG. 9 may be a map in which switching control information of at least one slave switch (320) corresponding to a capacitance value is predefined.

[0134] Here, the switching control information can be predetermined according to the size of the capacitance of at least one capacitor (200) connected to each of the plurality of individual slave switches (320).

[0135] However, not limited to what is disclosed, a predefined control map according to other embodiments may be predefined as switching control information of at least one slave switch (320) according to the number of capacitors, as shown in FIG. 9.

[0136] To explain in more detail according to the embodiment, when a plurality of capacitors (200) in a vehicle battery system have the same capacitance, the processor (420) can calculate the number of capacitors by dividing the value of the capacitance obtained from a pre-learned prediction model by the capacitance of the capacitors (200). Subsequently, the processor (420) can check switching control information corresponding to the number of capacitors, as shown in the control map in FIG. 9, and transmit a second switching control signal to at least one corresponding slave switch (320) based on the switching control information. Accordingly, at least one corresponding slave switch (320) can be turned on.

[0137]

[0138] The battery control device and method according to the embodiments of the present invention, and a vehicle battery system including the same, have been described above.

[0139] A battery control device and method according to an embodiment of the present invention, and a vehicle battery system including the same, can improve safety and efficiency by using a pre-learned prediction model to predict the amount of voltage reduction of the battery under low temperature conditions and controlling the connection between the capacitor and the battery.

[0140]

[0141] The operation of the method according to an embodiment of the present invention can be implemented as a computer-readable program or code on a computer-readable recording medium. The computer-readable recording medium may include any type of recording device in which data that can be read by a computer system is stored. The computer-readable recording medium may also be distributed across networked computer systems, so that the computer-readable program or code can be stored and executed in a distributed manner.

[0142] The operation of the method according to an embodiment of the present invention can be implemented in various forms related to the program, such as a computer program or code itself or a computer program product.

[0143] Additionally, computer-readable recording media may include one or more of volatile / transitory recording media and non-volatile / non-transitory recording media.

[0144] Computer-readable recording media may include hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, and flash memory, and may include, for example, various types of servers located on a network. Program instructions may include machine code, such as that generated by a compiler, as well as high-level language code that can be executed by a computer using an interpreter, etc.

[0145] Some aspects of the invention have been described in the context of a device, but may also be described according to a corresponding method, wherein a block or device corresponds to a method step or a feature of a method step. Similarly, aspects described in the context of a method may also be described according to a corresponding block or item or a feature of a corresponding device. Some or all of the method steps may be performed by (or using) a hardware device, such as, for example, a microprocessor, a programmable computer, or an electronic circuit. In some embodiments, one or more of the most important method steps may be performed by such a device.

[0146] Although the present invention has been described with reference to preferred embodiments, those skilled in the art will understand that various modifications and changes can be made to the invention without departing from the spirit and scope of the invention as described in the following claims.

Claims

1. As a battery system applied to a vehicle, battery; At least one capacitor connected in parallel with the above battery; A switch connected between the battery and the capacitor; and A vehicle battery system comprising a battery control device that controls the electrical connection between the battery and the capacitor by controlling the operation of the switch by considering at least one of the control signal of the vehicle and the state information of the battery.

2. In Claim 1, The above switch is, Master switch; and A vehicle battery system comprising a plurality of slave switches, each having one end connected to the master switch and the other end connected in series with at least one capacitor.

3. In Claim 2, The above battery control device is, A vehicle battery system that controls the master switch to a turn-on state when a predetermined low-temperature condition is satisfied, based on a control signal of the vehicle and first state information of the battery.

4. In Claim 2, The above battery control device is, Second state information of the battery is input into a pre-trained prediction model to obtain a capacitance value as an output value, and A vehicle battery system that controls at least one of the slave switches to a turn-on state based on the above output value.

5. In Claim 4, Each of the above slave switches is, A vehicle battery system in which the switching control information of the slave switches is controlled using a predefined control map, such that the capacitance value of at least one capacitor individually connected to the slave switches is considered, and a capacitance value corresponding to the output value is output.

6. In Claim 3, The above first state information is, A vehicle battery system comprising at least one of the State of Charge (SOC), voltage, current, and temperature of the above-mentioned battery.

7. In Claim 4, The above second state information is, A vehicle battery system comprising at least one of the State of Charge (SOC), voltage, current, temperature, voltage change amount, and voltage change amount per unit time of the above-mentioned battery.

8. In Claim 4, The above prediction model is, A vehicle battery system, which is a model that predicts the amount of voltage reduction of the battery occurring under low-temperature conditions by means of a machine learning-based gradient boosting technique and outputs a capacitance value to compensate for it.

9. A battery control device that controls the electrical connection between a battery and a capacitor within a battery system applied to a vehicle, processor; and It includes a memory comprising at least one instruction executed by the above processor, and The above at least one command is, A command to collect at least one of the control signal of the above vehicle and the status information of the above battery, and A battery control device comprising a command to control the operation of a switch connected between the battery and the capacitor by considering at least one of the collected control signal of the vehicle and the state information of the battery.

10. In Claim 9, The command to control the operation of the above switch is, A command to control the master switch to a turn-on state when a predetermined low-temperature condition is satisfied, based on the control signal of the above vehicle and the first state information of the above battery, and A battery control device comprising a command to control at least one of the slave switches to a turn-on state using a predefined prediction model.

11. In Claim 10, A command to control at least one of the above slave switches to a turn-on state is, A command to input the second state information of the battery into the above prediction model to obtain a capacitance value as an output value, A command to check switching control information of the slave switches corresponding to the capacitance value using a predefined control map, and A battery control device comprising a command to control at least one of the slave switches to a turned-on state based on the switching control information above.

12. In Claim 10, The above first state information is, A battery control device comprising at least one of the State of Charge (SOC), voltage, current, and temperature of the battery.

13. In Claim 11, The above second state information is, A battery control device comprising at least one of the State of Charge (SOC), voltage, current, temperature, voltage change amount, and voltage change amount per unit time of the above-mentioned battery.

14. In Claim 10, The above prediction model is, A battery control device, which is a model that predicts the amount of voltage reduction of the battery occurring under the low temperature conditions using a machine learning-based gradient boosting technique and outputs a capacitance value to compensate for it.

15. A battery control method for controlling the electrical connection between a battery and a capacitor within a battery system applied to a vehicle, wherein A step of collecting at least one of the control signal of the vehicle and the state information of the battery; and A battery control method comprising the step of controlling the operation of a switch connected between the battery and the capacitor by considering at least one of the collected control signal of the vehicle and the state information of the battery.

16. In Claim 15, The step of controlling the operation of the above switch is, A step of controlling the master switch to a turn-on state when a predetermined low-temperature condition is satisfied, based on the control signal of the vehicle and the first state information of the battery; and A battery control method comprising the step of controlling at least one of the slave switches to a turn-on state using a predefined prediction model.

17. In Claim 16, The step of controlling at least one of the above slave switches to a turn-on state is, A step of inputting second state information of the battery into the above prediction model to obtain a capacitance value as an output value; A step of verifying switching control information of the slave switches corresponding to the capacitance value using a predefined control map; and A battery control method comprising the step of controlling at least one of the slave switches to a turned-on state based on the switching control information above.

18. In Claim 16, The above first state information is, A battery control method comprising at least one of the State of Charge (SOC), voltage, current, and temperature of the battery.

19. In Claim 17, The above second state information is, A battery control method comprising at least one of the State of Charge (SOC), voltage, current, temperature, voltage change amount, and voltage change amount per unit time of the battery.

20. In Claim 16, The above prediction model is, A battery control method, which is a model that predicts the amount of voltage reduction of the battery occurring under the low temperature conditions using a machine learning-based gradient boosting technique and outputs a capacitance value to compensate for it.

21. A computer-readable medium storing a program for executing the method of any one of claims 15 to 20 on a computer.

Images