Vehicle battery control device and method

Abstract

The invention discloses a vehicle battery control apparatus and method. The vehicle battery control device may include a memory and a control section. For example, the vehicle battery control device can acquire at least one of traveling durability data based on a traveling state of the host vehicle, idle durability data based on a parking state, or any combination thereof. Degradation data of a battery of the host vehicle is acquired using at least a portion of the travel durability data, the idle durability data, or any combination thereof, and a deterioration state of the battery is calculated by comparing reference data recognized on the basis of a preset reference model with the deterioration data.

Description

Technical Field

[0001] The present invention relates to a vehicle battery control device and method, and more particularly, to a technology for identifying a degradation state of a battery included in a vehicle and providing the identification result to a user. Background Art

[0002] As environmental and energy resource issues are becoming more and more important, electric vehicles are one of the types of vehicles that are attracting attention as future environmentally friendly transportation tools among the transportation tools provided to solve these problems. Among them, electric vehicles use batteries as a power supply source, which are relatively expensive compared to other components.

[0003] Therefore, considering the relatively high cost burden, effective management and use of batteries are necessary. Based on this view, various technologies have been developed recently through numerous studies to effectively use the batteries of electric vehicles. In particular, the technology of providing battery information including battery degradation data to users of electric vehicles can be applied to mass-produced electric vehicles.

[0004] However, the technology for identifying data related to battery use of electric vehicles in real time, and immediately judging the degree of deterioration based on the identified results and providing feedback related to the judgment results is not yet mature. Therefore, it is necessary to develop a technology to provide users with real-time feedback on the degree of battery deterioration based on driving data. Summary of the invention

[0005] One embodiment of the present invention can provide the following vehicle battery control device: when the vehicle is driving, driving information related to the driving of the vehicle (or driving endurance data) is obtained; when the vehicle is idle (for example, parked with the power turned off), idle information related to the idleness of the vehicle (or idle endurance data) is identified, and then battery degradation data is identified using at least a portion of the identified multiple information.

[0006] One embodiment of the present invention can provide a vehicle battery control device that identifies a baseline durability model using various parameters predefined through experiments and / or studies, and displays to a user through a display unit the degree of battery degradation identified based on a comparison result between the baseline durability model and a real-time durability model.

[0007] An embodiment of the present invention can provide a vehicle battery control device that identifies a score value based on a battery degradation state and displays different types of battery state notifications to a user according to the size of the score value.

[0008] An embodiment of the present invention can provide the following vehicle battery control device: compare at least one of the battery fast charging rate, normal driving ratio, average battery power during parking, average battery temperature during driving, or any combination thereof with a preset critical value, and display a battery management guide identified based on the comparison result to the user.

[0009] An embodiment of the present invention can provide a vehicle battery control device that identifies the degree of battery degradation based on a life prediction model (or a baseline endurance model) and displays a battery status notification and / or a battery management guide corresponding to the identified degree of degradation to a user.

[0010] The technical problems of the present invention are not limited to the technical problems mentioned above, and those skilled in the art can clearly understand other technical problems not mentioned from the following description.

[0011] A vehicle battery control device according to an embodiment of the present invention may include: a memory storing at least one instruction; and a control unit operably connected to the memory. For example, when the instruction is executed by the control unit, the vehicle battery control device performs the following processing: obtaining at least one of driving endurance data based on the driving state of the vehicle, idle endurance data based on the parking state, or any combination thereof, using at least a part of the driving endurance data, the idle endurance data, or any combination thereof to obtain the degradation data of the battery of the vehicle, and comparing the baseline data identified based on a preset baseline model with the degradation data to calculate the degradation state of the battery.

[0012] According to one embodiment, when the above-mentioned instruction is executed by the above-mentioned control unit, the above-mentioned vehicle battery control device performs the following processing: when the vehicle starts to drive, the above-mentioned driving endurance data based on the driving state during driving is accumulated and stored in the above-mentioned memory, and the battery degradation data is identified based on the above-mentioned idle endurance data based on the parking state stored in the above-mentioned memory before the vehicle starts to drive, the existing idle endurance model or at least one of any combination thereof.

[0013] According to one embodiment, when the above-mentioned instruction is executed by the above-mentioned control unit, the above-mentioned vehicle battery control device performs the following processing: when it is determined that the idle time before the above-mentioned vehicle starts driving exceeds the specified time, after identifying the degradation data of the battery based on the existing idle durability model corresponding to the idle period before the start of driving, the idle durability data or at least one of their any combinations, the first idle durability model determined using the above-mentioned idle durability data, the above-mentioned degradation data and the above-mentioned existing idle durability model is stored in the above-mentioned memory; when it is determined that the above-mentioned idle time is less than the above-mentioned specified time, the existing idle durability model is determined as the first idle durability model and stored in the above-mentioned memory.

[0014] According to one embodiment, the idle endurance data may include the idle time before the vehicle starts driving, the battery SoC (state of charge) when the vehicle is idle, the battery temperature when the vehicle is idle and when it starts driving, or at least one of any combination thereof.

[0015] According to one embodiment, when the above-mentioned instruction is executed by the above-mentioned control unit, the above-mentioned vehicle battery control device performs the following processing: when the driving of the vehicle ends and the power is turned off, the idle endurance data based on the parking state is accumulated and stored in the above-mentioned memory, and the battery degradation data is identified based on the above-mentioned driving endurance data based on the driving state stored in the above-mentioned memory before the power of the vehicle is turned off, the existing driving endurance model or at least one of any combination thereof.

[0016] According to one embodiment, when the above-mentioned instruction is executed by the above-mentioned control unit, the above-mentioned vehicle battery control device performs the following processing: when it is determined that the energy used by the vehicle during driving before the power is turned off exceeds a specified amount, after identifying the battery degradation data based on the existing driving endurance model, the driving endurance data or at least one of any combinations thereof identified in the driving cycle before the power is turned off, the first driving endurance model identified using the above-mentioned driving endurance data, the above-mentioned degradation data and the above-mentioned existing driving endurance model is stored in the above-mentioned memory; when it is determined that the above-mentioned used energy is below the above-mentioned specified amount, the existing driving endurance model is determined as the first driving endurance model and stored in the above-mentioned memory.

[0017] According to an embodiment, the driving endurance data may include at least one of energy used until the power of the vehicle is turned off, current used during driving of the vehicle, average battery temperature during driving, or any combination thereof.

[0018] According to one embodiment, when the above-mentioned instruction is executed by the above-mentioned control unit, the above-mentioned vehicle battery control device performs the following processing: when the driving of the vehicle ends and the power is turned off, the above-mentioned baseline model is determined based on baseline durability data related to at least one of the current, battery temperature, SoC or any combination thereof, and the baseline data identified by inputting at least a part of the above-mentioned driving durability data, at least a part of the above-mentioned idle durability data or at least one of any combination thereof into the above-mentioned baseline model is compared with the above-mentioned degradation data to identify the degradation state of the battery.

[0019] According to one embodiment, the vehicle battery control device can further include a display unit. For example, when the above instruction is executed by the above control unit, the above vehicle battery control device performs the following processing: based on the difference between the above reference data and the above degradation data, a score related to the degree of battery degradation is identified, and at least one of a specified battery status notification corresponding to the size of the above score, a battery operation guide identified based on the battery usage history, or any combination thereof is displayed using the above display unit.

[0020] According to one embodiment, when the above-mentioned instruction is executed by the above-mentioned control unit, the above-mentioned vehicle battery control device can perform the following processing: displaying the above-mentioned battery operation guide including at least one of the ratio between slow charging and fast charging, the ratio between normal driving and rapid acceleration and deceleration driving, the average charge capacity of the battery when parked, the average temperature of the battery when driving, or any combination thereof.

[0021] A vehicle battery control method based on an embodiment of the present invention may include: a step in which a control unit obtains at least one of driving endurance data based on the driving state of the vehicle, idle endurance data based on the parking state, or any combination thereof; a step in which the control unit uses at least a part of the driving endurance data, the idle endurance data, or any combination thereof to obtain degradation data of the battery of the vehicle; and a step in which the control unit compares benchmark data identified based on a preset benchmark model with the degradation data to calculate the degradation state of the battery.

[0022] According to one embodiment, the step in which the control unit identifies the degradation data may include: when the vehicle starts to travel, the control unit accumulates and stores the driving endurance data based on the driving state during driving into a memory; and the control unit identifies the degradation data of the battery based on the idle endurance data based on the parking state stored in the memory before the vehicle starts to travel, an existing idle endurance model, or at least one of any combinations thereof.

[0023] According to one embodiment, the vehicle battery control method may include: when it is determined that the idle time before the vehicle starts driving exceeds a specified time, the control unit identifies the battery degradation data based on an existing idle durability model corresponding to the idle period before driving starts, the idle durability data, or at least one of any combinations thereof, and then stores a first idle durability model determined using the idle durability data, the degradation data, and the existing idle durability model in a memory; and when it is determined that the idle time is less than the specified time, the control unit determines the existing idle durability model as the first idle durability model and stores it in the memory.

[0024] According to one embodiment, the idle endurance data may include at least one of the idle time before the vehicle starts driving, the battery SoC when the vehicle is idle, the battery temperature when the vehicle is idle and when it starts driving, or any combination thereof.

[0025] According to one embodiment, the step in which the control unit identifies the degradation data may include: when the driving of the vehicle ends and the power is turned off, the control unit accumulates and stores the idle endurance data based on the parking state in the idle state into the memory; and the control unit identifies the degradation data of the battery based on the driving endurance data based on the driving state stored in the memory before the power of the vehicle is turned off, the existing driving endurance model or at least one of any combination thereof.

[0026] According to one embodiment, the vehicle battery control method may include: when it is determined that the energy used by the vehicle during driving before power is turned off exceeds a specified amount, the control unit identifies the battery degradation data based on the existing driving endurance model, the driving endurance data or at least one of any combination thereof identified in the driving cycle before power is turned off, and then stores the first driving endurance model identified using the above-mentioned driving endurance data, the above-mentioned degradation data and the above-mentioned existing driving endurance model in the above-mentioned memory; and when it is determined that the above-mentioned energy used is below the above-mentioned specified amount, the control unit determines the existing driving endurance model as the first driving endurance model and stores it in the above-mentioned memory.

[0027] According to an embodiment, the driving endurance data may include at least one of energy used until the power of the vehicle is turned off, current used during driving of the vehicle, average battery temperature during driving, or any combination thereof.

[0028] According to one embodiment, the vehicle battery control method may further include: when the driving of the vehicle ends and the power is turned off, the control unit determines the baseline model based on baseline durability data related to at least one of the current, the temperature of the battery, the SoC or any combination thereof; and the control unit compares the baseline data identified by inputting at least a part of the driving durability data, at least a part of the idle durability data or at least one of any combination thereof into the baseline model with the degradation data to identify the degradation state of the battery.

[0029] According to one embodiment, the vehicle battery control method may include: a step in which the control unit identifies a score related to the degree of battery degradation based on the difference between the baseline data and the degradation data; and a step in which the control unit uses a display unit to display at least one of a plurality of battery status notifications, including a specified battery status notification corresponding to the size of the score, a battery operation guide identified based on the battery usage history, or any combination thereof.

[0030] According to one embodiment, the step in which the control unit uses the display unit to display the battery operation guide may also include: the control unit uses the display unit to display the battery operation guide including at least one of the ratio between slow charging and fast charging, the ratio between normal driving and rapid acceleration and deceleration driving, the average charge amount of the battery when parked, the average temperature of the battery when driving, or any combination thereof.

[0031] Hereinafter, the effects of the vehicle battery control device and method according to the present invention will be described.

[0032] According to at least one of the multiple embodiments of the present invention, the vehicle battery control device can more accurately and quickly identify information related to the degree of battery degradation based on the difference between the degree of battery degradation identified by a durability model based on the vehicle's real-time driving data and the degree of battery degradation identified by a baseline durability model based on a plurality of predefined parameters.

[0033] In addition, according to at least one of the embodiments of the present invention, the vehicle battery control device can provide a user with a user interface including a battery status notification related to the degree of degradation of the battery and / or a battery management guide in real time.

[0034] In addition, according to at least one of the embodiments of the present invention, the vehicle battery control device changes the battery status notification and displays it in real time based on the user's driving habits, etc., thereby being able to guide the user to use the battery efficiently.

[0035] In addition, according to at least one of the embodiments of the present invention, the vehicle battery control device can sequentially display the battery management guide corresponding to the parameters that relatively have a greater influence on battery degradation.

[0036] In addition, according to at least one of the multiple embodiments of the present invention, the vehicle battery control device displays various parameters that affect battery degradation in a manner that the user can visually and / or auditorily identify, thereby helping the user to maintain good management habits in terms of battery management concepts and improving battery performance or extending battery life.

[0037] In addition, various other effects directly or indirectly learned from the present specification can also be provided. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 This is a block diagram showing components of a vehicle battery control device according to an embodiment of the present invention.

[0039] Figure 2 This is a block diagram showing components of a vehicle battery control device according to an embodiment of the present invention.

[0040] Figure 3 The present invention is a flow chart of a vehicle battery control method according to an embodiment of the present invention.

[0041] Figure 4 FIG. 1 is a diagram exemplarily showing a user interface provided by a vehicle battery control device according to an embodiment of the present invention.

[0042] Figure 5 The present invention is a flow chart of a vehicle battery control method according to an embodiment of the present invention.

[0043] Figure 6 The present invention is a flow chart of a vehicle battery control method according to an embodiment of the present invention.

[0044] Figure 7 The present invention is a flow chart of a vehicle battery control method according to an embodiment of the present invention.

[0045] Figure 8 The present invention is a flow chart of a vehicle battery control method according to an embodiment of the present invention.

[0046] Fig. 9 The present invention is a flow chart of a vehicle battery control method according to an embodiment of the present invention.

[0047] Fig.10 A computing system related to a vehicle battery control method according to an embodiment of the present invention is shown.

[0048] In describing the drawings, the same or similar reference numerals may be used for the same or similar components. DETAILED DESCRIPTION

[0049] Hereinafter, some embodiments of the present invention will be described in detail with reference to the accompanying drawings. It should be noted that when the components of the drawings are labeled, the same components are labeled with the same reference numerals as much as possible even if they are shown in different drawings. In addition, when describing the embodiments of the present invention, when it is determined that a specific description of the known related art may obscure the key points of the embodiments included in this specification, its detailed description will be omitted.

[0050] When describing the components of the embodiments of the present invention, the terms such as first, second, A, B, (a), (b) may be used. Such terms are only used to distinguish the component from other components, and the nature, order or sequence of the corresponding components, etc. will not be limited by the terms. In addition, unless otherwise defined, all terms (including technical terms or scientific terms) used herein have the same meanings as those generally understood by those skilled in the art. Terms identical to words defined in generally used dictionaries should be interpreted as having meanings equivalent to the contextual meanings in the relevant technical field, and should not be interpreted as having idealized or overly formalized meanings, unless clearly defined as having such meanings in this application.

[0051] Below, refer to Figures 1 to 10 , specifically describe the embodiments of the present invention.

[0052] Figure 1 This is a block diagram showing components of a vehicle battery control device according to an embodiment of the present invention.

[0053] According to an embodiment, the vehicle battery control device 100 can include at least one of a memory 120, a control unit 130, a display unit 140, or any combination thereof. Figure 1 The structure of the vehicle battery control device 100 is exemplary, and the embodiments of the present invention are not limited thereto. For example, the vehicle battery control device 100 can also further include a Figure 1 other components (for example, at least one of an interface portion, a communication portion, a sensor portion, a driving portion, or any combination thereof).

[0054] According to an embodiment, the memory 120 can store instructions or data. For example, the memory 120 can store one or more instructions that, when executed by the control unit 130 , cause the vehicle battery control device 100 to perform various operations.

[0055] For example, the memory 120 can be implemented by the control part 130 and a chipset. The control part 130 can include at least one of a communication processor or a modem.

[0056] According to an embodiment, the control unit 130 can be operatively connected to the memory 120 and / or the display unit 140. For example, the control unit 130 can control the operation of the memory 120 and / or the display unit 140.

[0057] In one embodiment, the control unit 130 can acquire (or identify) at least one of driving endurance data based on the driving state of the vehicle, idling endurance data based on the parking state, or any combination thereof.

[0058] In one embodiment, the control unit 130 can establish an assumption about the degradation rate of the battery based on the following equation 1 related to the degradation rate.

[0059] [Formula 1]

[0060] Q=min(Qsites,QLis,QLiP)

[0061] For example, the degradation rate Q of the battery can be calculated based on the parameter related to the loss of lithium storage side (Q sites ), parameters related to the formation of SEI (Solid Electrolyte Interphase: solid electrolyte interface) layer (Q LiS ) and / or parameters related to lithium plating (Q LiP ) is determined by the minimum value of .

[0062] In one embodiment, the control unit 130 can use a prediction model related to the battery life (eg, SOH real ) and obtain (or identify) SOH (state of health) as information related to the life (or performance status) of the battery according to the following formula 2.

[0063] [Formula 2]

[0064] SOH real =1-A×Wh z -B×time z

[0065] For example, the control unit 130 can obtain (or recognize) SOH (state of health). The control unit 130 can obtain (or recognize) SOH (state of health) based on the parameter A*Wh related to driving durability. z And the parameter B*time related to idle durability z To obtain (or, identify) the real-time SOH of the battery. For example, z may be 0.5, but this is exemplary and the embodiments of this specification are not limited thereto.

[0066] In one embodiment, the control unit 130 can identify A and B based on the following equation 3.

[0067] [Formula 3]

[0068] A=f(θ I ,θ T ,θ fc )

[0069] B=f(θ CSOC ,θ CT )

[0070] For example, the control unit 130 can use the degradation acceleration ratio θ caused by the load I 、Deterioration acceleration ratio θ caused by driving temperature T 、Degradation acceleration ratio θ caused by idle SoC (state of charge) CSOC , the degradation acceleration ratio θ caused by idle temperature CT and / or the degradation acceleration ratio θ caused by the fast charge ratio fc , obtain (or identify) A and B as shown in the above formula 3.

[0071] In one embodiment, the control unit 130 can obtain (or identify) the degradation acceleration ratio based on the following equation 4.

[0072] [Formula 4]

[0073] θ I =C ia +C ib *I+C ic *I 2

[0074]

[0075] θ CSOC =C soca +C socb *SOC+C socd *SOC 2

[0076]

[0077] For example, some of the parameters in the above formula 4 may be constant values ​​determined by experiments. D It can be the temperature of the battery identified during driving. For example, SoC can be the SoC of the battery when it is idle. For example, Temp s It may be the temperature of the battery identified in idle. For example, fc may be a value related to the ratio between slow charging and fast charging.

[0078] For example, when the vehicle starts to drive, the control unit 130 can obtain (or identify) battery degradation data based on the idle endurance data based on the parking state stored in the memory 120 before the vehicle starts to drive, the existing idle endurance model, or at least one of any combinations thereof.

[0079] For example, the idle endurance data may include the idle time before the vehicle starts driving (for example, the parking time or the time when the power of the vehicle is turned off), the battery SoC (state of charge) when the vehicle is idle (for example, the time of parking or the time when the power of the vehicle is turned off), the battery temperature when the vehicle is idle and when it starts driving, or at least one of any combinations thereof.

[0080] For example, the existing idle endurance model may be a model in which the control unit 130 outputs information on the state (eg, degradation state) of the battery using existing idle endurance data identified in response to a previous idle cycle of idle time before starting driving.

[0081] For example, the degradation data may include information on the degree of degradation of the battery at the time when the vehicle starts running (or when idling ends).

[0082] As one example, when the vehicle starts traveling, the control unit 130 can accumulate and store the traveling endurance data based on the traveling state acquired (or recognized) during the traveling of the vehicle in the memory 120 .

[0083] As an example, when the control unit 130 determines that the idle time before the vehicle starts driving exceeds a specified time (for example, 60 minutes), it can obtain (or identify) the battery degradation data based on at least one of the existing idle durability model, idle durability data, or any combination thereof identified in the idle period before the start of driving, and then store in the memory 120 a first idle durability model configured to output information related to the battery status (for example, degradation status) using the idle durability data, degradation data, and the existing idle durability model.

[0084] The first idle durability model may be an idle durability model corresponding to an idle period immediately before the host vehicle starts running.

[0085] As an example, when the control unit 130 determines that the idle time is less than the specified time, the control unit 130 determines (or identifies) the existing idle endurance model as the first idle endurance model and stores it in the memory 120. In other words, when the idle time is less than the specified time, the control unit 130 determines (or identifies) the existing idle endurance model corresponding to the previous idle cycle as the idle endurance model corresponding to the current idle cycle, and can store it in the memory 120.

[0086] For example, the control unit 130 can recognize information on the life state of the battery in the n-th idle cycle based on the following equation 5 using the first idle endurance model corresponding to the n-th idle cycle.

[0087] [Formula 5]

[0088]

[0089] For example, the value calculated based on the first idle endurance model may be the life state of the battery corresponding to the nth idle cycle. For example, Time_s may be the idle time of the nth idle cycle. For example, zS may be 0.5, but this is exemplary and the embodiments of the present invention are not limited thereto.

[0090] For example, the constant C S It can be identified based on the following formula 6.

[0091] [Formula 6]

[0092] C soc =C soca +C socb ×SoC s +C socd ×SoC s 2

[0093]

[0094] For example, C soca , C socb and C socd It can be a predefined parameter (e.g., a parameter identified as an optimal value during the development phase). For example, SoCs can be the SoC of the battery at the moment when the vehicle is idle. For example, Temp_s can be the average of the battery temperature at the moment when the vehicle is idle and the battery temperature at the end of the last idle cycle and the start of driving.

[0095] For example, when the vehicle's driving ends and the power is turned off, the control unit 130 can identify the battery degradation data based on the driving endurance data based on the driving state stored in the memory 120 before the vehicle's power is turned off, the existing driving endurance model, or at least one of any combinations thereof.

[0096] For example, driving endurance data may include at least one of the energy used before the power of the vehicle is turned off (for example, from the moment the power of the vehicle is turned on and starts driving to the moment the power is turned off), the current used during the driving of the vehicle, the average battery temperature during driving, or any combination thereof.

[0097] For example, the existing driving endurance model may be a model that the control unit 130 constructs using existing driving endurance data identified in response to a previous driving cycle of the driving time before the power supply is turned off. For example, the existing driving endurance model may be a model that the control unit 130 outputs information related to the state of the battery (e.g., degradation state) using existing driving endurance data identified in response to a previous driving cycle.

[0098] For example, the degradation data can include information on the degree of degradation of the battery at the time when the vehicle ends traveling and the power source is turned off (or when traveling ends).

[0099] As one example, when the travel of the vehicle ends and the power is turned off, the control unit 130 can accumulate and store the idle durability data based on the parking state during the idle state in the memory 120 .

[0100] As an example, when the control unit 130 determines that the energy used by the vehicle during the driving period before the power is turned off exceeds a specified amount (e.g., 0.5wh), the control unit 130 can identify the degradation data of the battery based on at least one of the existing driving endurance model, driving endurance data, or any combination thereof identified in the driving cycle before the power is turned off. For example, the control unit 130 can store the first driving endurance model determined (or identified) using the driving endurance data, the degradation data, and the existing driving endurance model in the memory.

[0101] The first driving endurance model may be a driving endurance model corresponding to a driving cycle immediately before the power of the host vehicle is turned off.

[0102] As an example, when the control unit 130 determines that the idle time is less than the specified time, it can determine (or identify) the existing idle endurance model as the first idle endurance model and store it in the memory 120. In other words, when the idle time is less than the specified time, the control unit 130 can determine (or identify) the existing idle endurance model corresponding to the previous idle cycle as the idle endurance model corresponding to the current idle cycle and store it in the memory 120.

[0103] For example, the control unit 130 can identify the life state of the battery corresponding to the n-th driving cycle based on the following equation 7 using the first driving endurance model corresponding to the n-th driving cycle.

[0104] [Formula 7]

[0105]

[0106] For example, the value calculated based on the first driving endurance model may be the life state of the battery corresponding to the nth driving cycle. For example, kWh_d may be the energy used in the nth driving cycle. For example, zD may be 0.5, but this is exemplary and the embodiments of the present invention are not limited thereto.

[0107] For example, the constant C D It can be identified based on the following formula 8.

[0108] [Formula 8]

[0109] C i =C ia +C ib ×I rms_d +C id ×I rms_d 2

[0110]

[0111] For example, C ia , C ib and C id These can be predefined parameters (e.g., parameters identified as optimal values ​​during the development phase). rms_d It can be the RMS value of the current used during driving. For example, Temp_avg can be the average battery temperature during driving. As an example, I rms_d and Temp_avg can be identified based on the following formula 9.

[0112] [Formula 9]

[0113]

[0114] For example, when the vehicle ends its travel and the power is turned off, the control unit 130 can identify a reference model including a reference idle endurance model and / or a reference driving endurance model. For example, the control unit 130 can determine (or identify) the reference model based on reference endurance data related to at least one of the current, the temperature of the battery, the SoC, or any combination thereof.

[0115] As an example, the control unit 130 can determine (or identify) a reference idle durability model based on reference durability data related to at least one of the battery temperature, SoC, or any combination thereof and the actual idle time of the vehicle being idle. The control unit 130 re-determines (or identifies) the reference idle durability model only when the idle time exceeds a specified time (e.g., 60 minutes), and when the idle time is less than the specified time, the reference idle durability model identified in the previous idle cycle (or, past idle cycle) can be determined (or identified) as the reference idle durability model corresponding to the most recent idle cycle and stored in the memory 120.

[0116] For example, the control unit 130 can identify the reference life state of the battery based on a reference idle endurance model corresponding to the n-th idle cycle according to the following equation 10.

[0117] [Formula 10]

[0118]

[0119] For example, the value calculated based on the baseline idle durability model may be a baseline life state corresponding to the nth idle cycle. For example, time_s may be the actual idle time of the nth idle cycle. For example, zS may be 0.5, but this is exemplary and the embodiments of the present invention are not limited thereto.

[0120] For example, the constant C s_ref It can be identified based on the following formula 11.

[0121] [Formula 11]

[0122] C soc _ref=C soci +C socs ×SoC_ref+C socd ×SoC_ref 2

[0123]

[0124] For example, SoC_ref and Temp s_ref It may be a benchmark SoC or a benchmark idle temperature preset through experiments.

[0125] As an example, the control unit 130 can determine (or identify) a reference driving durability model based on reference durability data related to at least one of current, battery temperature, or any combination thereof and the amount of energy actually used by the vehicle in the driving cycle. The control unit 130 re-determines (or identifies) the reference driving durability model only when the amount of energy exceeds a specified amount (e.g., 0.5wh), and when the amount of energy is below the specified amount, the control unit 130 can determine (or identify) the reference driving durability model identified in the previous driving cycle (or the past driving cycle) as the reference driving durability model corresponding to the most recent driving cycle and store it in the memory 120.

[0126] For example, the control unit 130 can identify the reference life state of the battery based on a reference driving endurance model corresponding to the n-th driving cycle based on the following equation 12.

[0127] [Formula 12]

[0128]

[0129] For example, the value calculated based on the reference driving endurance model may be the reference life state corresponding to the nth driving cycle. For example, kWh_d may be the energy actually used in the nth driving cycle. For example, zD may be 0.5, but this is exemplary and the embodiments of the present invention are not limited thereto.

[0130] For example, the constant C D It can be identified based on the following formula 13.

[0131] [Formula 13]

[0132] C i =C ia +C ib ×I rms _ref+C id ×I rms _ref 2

[0133]

[0134] For example, C ia , C ib and C id These can be predefined parameters (e.g., parameters identified as optimal values ​​during the development phase). rms_ref Temp avg_ref It may be a reference current or a reference average driving temperature preset through experiments.

[0135] For example, the control unit 130 can identify the degradation state of the battery by comparing the reference data identified by inputting at least a portion of the driving endurance data, at least a portion of the idle endurance data, or any combination thereof into the reference model with the degradation data.

[0136] As an example, the control unit 130 can identify a score related to the degree of degradation of the battery based on the difference between the reference data and the degradation data. For example, the control unit 130 can identify various user interfaces related to the degree of degradation of the battery based on the size of the score. For example, the control unit 130 can identify the score based on the following formula 14.

[0137] [Formula 14]

[0138]

[0139] As an example, the control unit 130 can use the display unit to display at least one of a designated battery status notification corresponding to the score size among the plurality of battery status notifications, a battery operation guide identified based on the battery usage history, or any combination thereof.

[0140] For example, the battery status notification can include information regarding the current battery status and the battery status expected at a specified time in the future and / or information regarding battery management status.

[0141] As an example, the battery status notification may include sentences about battery status information and / or information about management methods (for example: "The current battery management status is good. Please manage it as it is now.", "The current battery management status is normal. Please refer to the management guide for the life of the battery." and / or "The current battery management status is attention. Please refer to the management guide for the life of the battery.). For example, the control unit 130 may select a sentence corresponding to the status of the battery from at least one sentence to provide to the user.

[0142] For example, the battery operation guideline can include at least one of a ratio between slow charging and fast charging, a ratio between normal driving and rapid acceleration / deceleration driving, an average charge level of a battery in parking, an average temperature of a battery in driving, or any combination thereof.

[0143] As an example, the battery operation guide can include a sentence related to the battery management status (eg, "Battery management is going well").

[0144] As an example, the battery operation guide can include a sentence related to the recommended battery charging type (eg, "Slow charging is more conducive to maintaining battery performance than fast charging. Slow charging is recommended as the main method").

[0145] As an example, the battery operation guide may include a sentence related to a recommended driving style of the host vehicle (eg, "Severe acceleration / deceleration is not conducive to battery life management. Gentler driving than now is recommended.").

[0146] As an example, the battery operation guide may include sentences related to the recommended battery level when the vehicle is not driving (for example: "Low battery level is not conducive to maintaining battery performance when the vehicle is not driving for a long time. It is recommended to charge to 50-80%." or "High battery level is not conducive to maintaining battery performance when the vehicle is not driving for a long time. It is recommended to charge to 50-80%.").

[0147] As an example, the battery operating guidelines can include sentences related to charging type or driving style for properly maintaining battery temperature (e.g., "Reducing the use of fast charging and high-speed driving to maintain proper battery temperature will benefit battery life and maintain performance.").

[0148] As an example, the battery operation guide can include a sentence related to recommendations for battery management (e.g., "Battery conditioning is recommended to maintain battery life and performance to maintain appropriate battery temperature.").

[0149] For example, when the control unit 130 recognizes that the battery state has improved based on the score, it can immediately change the type of battery state notification.

[0150] For example, when the control unit 130 recognizes that the battery status has deteriorated based on the score, it can maintain the type of battery status notification displayed within a specified number of times (for example, 5 times), and change the type of battery status notification to display after recognizing that the battery status has continued to deteriorate within a period exceeding the specified number of times.

[0151] Figure 1 The structure of the vehicle battery control device 100 is exemplary, and the vehicle battery control device 100 may further include other components not shown. For example, the vehicle battery control device 100 may further include a sensor unit (not shown).

[0152] According to an embodiment, the sensor unit can acquire (or sense) various information related to components included in the vehicle and / or the driving condition of the vehicle.

[0153] For example, the sensor unit may include a thermal sensor for identifying the temperature of the battery. The sensor unit may identify (or monitor) the temperature of the battery in real time under the control of the control unit 130 .

[0154] For example, the sensor unit can include at least one sensor including at least one of a camera, a radar, a laser radar (LiDAR), or any combination thereof. The sensor unit can recognize various information related to the driving of the vehicle (for example, driving speed, driving acceleration, driving direction, whether the vehicle is parked (or idle time), parking time, or at least one of any combination thereof) in real time under the control of the control unit 130.

[0155] In the above-mentioned embodiments, it can be understood that the operations performed by the sensor unit are performed under the control of the control unit 130 .

[0156] According to the embodiment of the present specification, the vehicle battery control device 100 can monitor the battery status of the target vehicle (e.g., a vehicle including the vehicle battery control device 100) in real time, and determine the battery degradation state based on this. Through this technical feature, compared with the method of measuring and predicting the battery status (e.g., SOH, state of health) on the external device (e.g., server) side based on cloud technology, it can have the advantages of high reliability and rapid determination of the battery status.

[0157] According to the embodiment of the present specification, the vehicle battery control device 100 can calculate the degradation state of the battery based on at least one model (e.g., an idle endurance model and / or a driving endurance model) targeting the vehicle and taking into account the idle history and driving history of the vehicle. Thus, the vehicle battery control device 100 can quickly predict and calculate the degradation state of the battery with high accuracy.

[0158] According to the embodiments of the present specification, as the idle cycle and driving cycle of the vehicle pass, it is determined whether to use a new idle endurance model and / or driving endurance model based on various information (for example, idle and / or driving time, information related to the operation of the vehicle in the corresponding cycle), so that the battery management guidelines and management times can be accurately predicted and provided to the user.

[0159] Figure 2 This is a block diagram showing components of a vehicle battery control device according to an embodiment of the present invention.

[0160] According to one embodiment, a vehicle battery control device (eg: Figure 1 The vehicle battery control device 100 can include a computing unit 220 and / or a display unit 230. The vehicle battery control device can be operatively connected to the battery 210.

[0161] For example, the operation unit 220 may include a driving endurance input data operation unit 221, a driving endurance output data operation unit 223, an idle endurance input data operation unit 225, an idle endurance output data operation unit 227 and / or an AVN (audio, video, navigation) display variable operation unit or at least one of any combination thereof.

[0162] As an example, the driving endurance input data calculation unit 221 can calculate (or recognize) an input variable related to at least one of the current during driving, the driving temperature, the driving energy value, the charging ratio, or any combination thereof.

[0163] As one example, the running durability output data calculation unit 223 can calculate the SOH during running based on the running durability model and using the running durability input data.

[0164] As an example, the idle endurance input data calculation unit 225 is capable of calculating (or identifying) input variables related to at least one of the parking time (or idle time), the parking SoC (or the SoC at the idle time), the parking temperature (or the temperature of the battery 210 at the idle time), or any combination thereof.

[0165] As an example, the idle endurance output data calculation unit 227 can calculate (or identify) the idle SOH based on the idle endurance model and using the idle endurance input data.

[0166] As an example, the AVN display variable calculation unit 229 can accumulate and calculate the AVN display variable value displayed by the display unit (for example: Figure 1 The display unit 140 of the display unit 140 provides at least one information related to the battery 210 to the user. For example, the at least one information related to the battery 210 provided to the user can include at least one of the ratio between slow charging and fast charging, the ratio between normal driving and rapid acceleration and deceleration driving, the average charge amount of the battery 210 when parked, the average temperature of the battery 210 when driving, the SoC at the idle time, or any combination thereof.

[0167] For example, the display unit 230 can display battery usage statistics 232 and / or battery status notifications and battery operation guides 234 .

[0168] As an example, the battery usage statistics 232 can include information related to the usage history of the battery 210. For example, the battery usage statistics 232 can include information related to at least one of the charging type of the battery 210 (e.g., the ratio between normal (or, slow) charging and fast charging), the road type on which the battery 210 is used (e.g., the ratio between urban driving and highway driving), the driving speed type of the vehicle using the battery 210 for driving (e.g., the ratio between rapid deceleration and acceleration driving and normal driving using rapid deceleration and rapid acceleration), the battery charge remaining during parking, the battery temperature during driving, or any combination thereof.

[0169] As an example, the battery status notification and battery operation guide 234 can include battery status information identified according to a score calculated based on a comparison result between the reference data and the degradation data.

[0170] For example, the battery status notification can include one stage (e.g., 'Good', the current battery management status is good. Please manage it as it is now.), two stages (e.g., 'Normal', the current battery management status is normal. Please refer to the management guide for the life of the battery 210.) and three stages (e.g., 'Caution', the current battery management status is caution. Please refer to the management guide for the life of the battery 210.).

[0171] For example, the battery operation guide may include information related to at least one of the ratio between slow charging and fast charging, the ratio between normal driving and rapid acceleration and deceleration driving, the average charge of the battery 210 when parked, the average temperature of the battery 210 when driving, or any combination thereof.

[0172] As an example, the battery operation guide may include a first type (e.g., 'Battery management is going well.'), a second type (e.g., 'Slow charging is more conducive to maintaining battery performance than fast charging. It is recommended to use slow charging as the main method.'), a third type (e.g., 'Sudden acceleration or deceleration is not conducive to battery life management. It is recommended to drive more gently than now.'), a fourth type (e.g., 'When not driving for a long time, low battery power is not conducive to maintaining battery performance. It is recommended to charge to 50-80%.'), a fifth type (e.g., 'When not driving for a long time, high battery power is not conducive to maintaining battery performance. It is recommended to charge to 50-80%.'), a sixth type (e.g., 'Reducing the use of fast charging and high-speed driving to maintain a proper battery temperature will be beneficial to battery life and maintain performance.'), a seventh type (e.g., 'For battery life and performance maintenance, it is recommended to use battery conditioning to control at a proper battery temperature.') or at least one of any combination thereof. For example, the vehicle battery control device may select at least one of the various types of battery operation guides based on the battery usage history and display it to the user through the display unit.

[0173] Figure 2 The components of the vehicle battery control device shown are exemplary, and the embodiments of the present invention are not limited thereto. Figure 2 The computing unit 220 shown in the figure can also be Figure 1 The control unit (for example: Figure 1 The control unit 130 may be implemented as a part of the control unit 130) or a chip.

[0174] Figure 3 This is an operation flow chart of a vehicle battery control device according to an embodiment of the present invention.

[0175] According to one embodiment, a vehicle battery control device (eg: Figure 1 The vehicle battery control device 100) is capable of executing Figure 3 For example, the vehicle battery control device includes components (e.g.: Figure 1 At least a portion of the memory 120, the control unit 130 and / or the display unit 140) is configured to be able to execute Figure 3 operation.

[0176] In the following embodiments, although the operations from S310 to S350 can be performed sequentially, they do not have to be performed sequentially. For example, the order of the operations can be changed, or at least two operations can be performed in parallel. Figure 3 , the content corresponding to or repeated in the above text can be briefly described or omitted.

[0177] According to one embodiment, the vehicle battery control device can identify whether the vehicle starts to travel ( S310 ).

[0178] For example, the vehicle battery control device can recognize whether the vehicle is powered on and starting to travel.

[0179] For example, when recognizing that the vehicle starts traveling (eg, “Yes” in step S310 ), the vehicle battery control device can execute step S322 .

[0180] For example, when it is recognized that the vehicle has not started running (eg, "No" in step S310), the vehicle battery control device can execute step S324. For example, the case where the vehicle has not started running can include the case where it is recognized that the vehicle has finished running and the power supply is turned off.

[0181] According to one embodiment, the vehicle battery control device can identify the idle endurance model and store the driving endurance data (S322).

[0182] For example, the vehicle battery control device can determine (or recognize) the idle endurance model using at least a portion of the idle endurance data stored in the memory in the last idle cycle before the vehicle started running.

[0183] For example, the vehicle battery control device can store the running endurance data based on the running state being executed in response to the start of running in step S310 in the memory in real time.

[0184] According to one embodiment, the vehicle battery control device can identify the driving endurance model and store the idle endurance data (S324).

[0185] For example, the vehicle battery control device can determine (or recognize) the driving endurance model using at least a portion of the driving endurance data stored in the memory in the previous driving cycle when the vehicle starts to idle (or when driving ends and the power is turned off).

[0186] For example, the vehicle battery control device can store the idle durability data based on the parking state (or the idle state) being executed according to the idle start of step S310 in the memory in real time.

[0187] According to an embodiment, the vehicle battery control device can identify a reference endurance model based on the travel warranty distance ( S330 ).

[0188] For example, the vehicle battery control device can determine (or, identify) a baseline durability model (or, baseline model) set to predict the battery life based on a specified driving warranty distance (e.g., 160,000 km). As an example, the baseline durability model can include a baseline driving durability model and / or a baseline idle durability model. The vehicle battery control device can predict and calculate the battery's baseline information (e.g., baseline life state) based on the baseline durability model based on the above-mentioned formula 10 and / or formula 12.

[0189] According to an embodiment, the vehicle battery control device can calculate (or recognize) the battery state based on the comparison between at least one model ( S340 ).

[0190] For example, the vehicle battery control device is able to calculate (or identify) the battery state including the degree of battery degradation (e.g., the battery degradation state) based on the comparison results between data calculated based on at least one of a driving endurance model, an idle endurance model, a baseline model, or any combination thereof.

[0191] For example, the vehicle battery control device is able to identify the battery status based on the difference between baseline data and / or degradation data calculated based on the vehicle's operating information (e.g., idle time and / or energy usage) identified in real time based on at least one input of a driving endurance model, an idle endurance model, a baseline model, or any combination thereof.

[0192] According to an embodiment, the vehicle battery control device can update the battery status notification and / or the battery management guide according to the identified status ( S350 ).

[0193] For example, the vehicle battery control device can update (or display) a battery status notification and / or a battery management guide based on the identified status.

[0194] As an example, when the vehicle starts driving, the battery control device is able to identify the battery status of the vehicle based on the size of the difference between the degradation data calculated based on the idle endurance model and the idle endurance data stored in the memory during the previous idle cycle and the baseline data calculated based on the baseline idle endurance model stored in the memory during the previous idle cycle and the above-mentioned idle endurance data, and update the vehicle's battery status notification and / or battery management guide.

[0195] As an example, when the vehicle begins to idle (or when the vehicle stops driving and the power is turned off) (or when the vehicle begins to park), the battery control device is able to identify the battery status of the vehicle based on the size of the difference between the degradation data calculated based on the driving endurance model and the driving endurance data stored in the memory during the previous driving cycle and the benchmark data calculated based on the benchmark driving endurance model stored in the memory during the previous idle cycle and the above-mentioned driving endurance data, and update the vehicle's battery status notification and / or battery management guide.

[0196] Figure 4 FIG. 1 is a diagram exemplarily showing a user interface provided by a vehicle battery control device according to an embodiment of the present invention.

[0197] According to one embodiment, a vehicle battery control device (eg: Figure 1 The vehicle battery control device 100) can use the display unit 400 (for example: Figure 1 The display unit 140) is used to display various information related to the battery status of the vehicle to the user.

[0198] For example, the vehicle battery control device can display a first user interface 411 including identification information of the vehicle to the user.

[0199] For example, the vehicle battery control device can display the second user interface 412 to the user, and the second user interface 412 includes a plurality of screen switching labels for changing the display screen type. As an example, Figure 4 The screen shown may be a display screen with the "Battery Usage Statistics" tab selected.

[0200] For example, the vehicle battery control device can display a third user interface 413 to the user, which includes a menu label related to at least one of the previous screen display, home page display, menu, energy information, charging information, settings, content information currently being played, or any combination thereof.

[0201] For example, the vehicle battery control device is capable of displaying a fourth user interface 414 to the user, which includes a ratio of the vehicle's charging type (for example, the ratio between slow charging and fast charging), a ratio of driving types (for example, the ratio between urban driving and highway driving), a ratio of driving types (for example, the ratio between normal driving and sudden acceleration / deceleration driving), or at least one of any combination thereof.

[0202] For example, the vehicle battery control device can display a fifth user interface 415 to the user, the fifth user interface 415 including a battery status notification and / or a battery management guide for the vehicle. As an example, the vehicle battery control device can display a vehicle battery status notification and a battery management guide determined based on the difference between the baseline data and the degradation data, and can update at least a portion of the fifth user interface 415 in real time according to the battery status change identified in real time.

[0203] For example, the vehicle battery control device is capable of displaying a sixth user interface 416 to the user, which includes the battery power while parked (for example: the average battery SoC when the vehicle is parked (or, driving ends and the power is turned off)), the battery temperature while driving (for example: the real-time average temperature of the battery while driving), or at least one of any combination thereof.

[0204] For example, the vehicle battery control device can display a seventh user interface 417 to the user, where the seventh user interface 417 includes at least one of a search function, time information, or any combination thereof.

[0205] Figure 5 The present invention is a flow chart of a vehicle battery control method according to an embodiment of the present invention.

[0206] According to one embodiment, a vehicle battery control device (eg: Figure 1 The vehicle battery control device 100) is capable of executing Figure 5 For example, the vehicle battery control device includes multiple components (for example: Figure 1 At least a portion of the memory 120, the control unit 130 and / or the display unit 140) is configured to be able to execute Figure 5 operation.

[0207] In the following embodiments, although the operations from S510 to S550 can be performed sequentially, they do not have to be performed sequentially. For example, the order of the operations can be changed, or at least two operations can be performed in parallel. Figure 5 , the content corresponding to or repeated in the above text can be briefly described or omitted.

[0208] According to an embodiment, the vehicle battery control device can identify whether the power of the vehicle is turned on (S510).

[0209] For example, the vehicle battery control device can recognize whether the vehicle is plugged in and starts running.

[0210] For example, when it is recognized that the power of the vehicle is turned on (or when it is recognized that the vehicle starts traveling) (for example, “Yes” in step S510 ), the vehicle battery control device can execute step S520 .

[0211] For example, when it is determined that the vehicle is not powered on (or is idling) (e.g., "No" in step S510), the vehicle battery control device can repeatedly execute step S510. This may be a situation where the vehicle is continuously idling. In this case, the vehicle battery control device can execute the operation based on the following Figure 6 The idle durability data storage operation and / or the driving durability model identified in the idle cycle (or parking cycle) identified in the n-1th cycle are used to determine (or identify) the operation of the first driving model (or first driving durability model) corresponding to the nth cycle.

[0212] According to an embodiment, the vehicle battery control device is capable of identifying idle endurance data ( S520 ).

[0213] For example, the idle endurance data may include at least one of the idle time before the vehicle starts driving, the battery SoC (state of charge) when the vehicle is idle, the battery temperature when the vehicle is idle and when it starts driving, or any combination thereof.

[0214] According to one embodiment, the vehicle battery control device can identify whether the idle time exceeds a specified time (eg, 60 minutes) (S530).

[0215] For example, when the idle time exceeds a specified time (eg, “Yes” in step S530 ), the vehicle battery control device can execute step S540 .

[0216] For example, when the idle time is less than or equal to a specified time (eg, “No” in step S530 ), the vehicle battery control device can execute step S535 .

[0217] According to one embodiment, the vehicle battery control device can identify the idle pattern identified in the previous cycle as the first idle pattern and store it in the memory (S535).

[0218] In other words, when assuming that the driving cycle based on driving in step S510 is the nth driving cycle, if the idle time is less than the specified time, the vehicle battery control device can determine (or identify) the previous idle model identified in the previous driving cycle of the nth cycle (for example: the n-1th driving cycle) as the first idle model and store it in the memory.

[0219] According to an embodiment, the vehicle battery control device can identify a first idle model using the idle endurance data ( S540 ).

[0220] For example, the vehicle battery control device can identify the battery state of the vehicle using at least one of the previous idle pattern, idle endurance data, or any combination thereof identified in the n-1th driving cycle.

[0221] For example, the vehicle battery control device can use at least one of the previous idle models, the idle endurance data, or any combination thereof to re-determine (or, identify) a first idle model that is different from the previous idle model and corresponds to the nth idle cycle.

[0222] According to an embodiment, the vehicle battery control device can store the first idle model in a memory ( S550 ).

[0223] For example, the memory may be a non-volatile memory. Therefore, when the vehicle power is turned on again after being turned off, the vehicle battery control device can also read the data stored before the vehicle power is turned off from the memory.

[0224] Figure 6 The present invention is a flow chart of a vehicle battery control method according to an embodiment of the present invention.

[0225] According to one embodiment, a vehicle battery control device (eg: Figure 1 The vehicle battery control device 100) is capable of executing Figure 6 For example, the components included in the vehicle battery control device (for example: Figure 1 At least a portion of the memory 120, the control unit 130 and / or the display unit 140) is configured to be able to execute Figure 6 operation.

[0226] In the following embodiments, although the operations from S610 to S650 can be performed sequentially, they do not have to be performed sequentially. For example, the order of the operations can be changed, or at least two operations can be performed in parallel. Figure 6 , the content corresponding to or repeated in the above text can be briefly described or omitted.

[0227] According to an embodiment, the vehicle battery control device can identify whether the power of the host vehicle is turned off (S610).

[0228] For example, the vehicle battery control device can recognize whether the vehicle has finished driving and the power supply has been turned off.

[0229] For example, when it is recognized that the power of the vehicle is turned off (or when it is recognized that the driving is ended and the power is turned off) (for example: "Yes" in step S610), the vehicle battery control device can execute step S620.

[0230] For example, when it is identified that the power of the vehicle is not turned off (or when it is identified that the vehicle is driving) (for example, "No" in step S610), the vehicle battery control device can repeatedly execute step S610. This situation may be a situation where the vehicle is continuously driving. At this time, the vehicle battery control device can execute the above-mentioned Figure 5 An operation of storing driving durability data and / or an idle durability model identified in a driving cycle identified in an n-1th cycle to determine (or identify) a first idle model (or a first idle durability model) corresponding to the nth cycle.

[0231] According to an embodiment, the vehicle battery control device can identify the driving endurance data (S620).

[0232] For example, the driving endurance data can include at least one of the energy used until the power of the vehicle is turned off, the current used during the driving of the vehicle, the average temperature of the battery during the driving, or any combination thereof.

[0233] According to an embodiment, the vehicle battery control device can identify whether the energy used during the driving time exceeds a specified amount (eg, 0.5Wh) (S630).

[0234] For example, when the energy used during the driving time exceeds a specified amount (eg, “YES” in step S630 ), the vehicle battery control device can execute step S640 .

[0235] For example, when the energy used during the running time is less than a specified amount (eg, "No" in step S630), the vehicle battery control device can execute step S635.

[0236] According to one embodiment, the vehicle battery control device can identify the driving model identified in the previous cycle as the first driving model and store it in the memory (S635).

[0237] In other words, when assuming that the idle cycle based on power shutdown of step S610 is the nth idle cycle, if the energy used during the driving time is less than the specified amount, the vehicle battery control device is able to identify the existing driving model identified in the previous idle cycle of the nth idle cycle (for example: the n-1th idle cycle) as the first driving model and store it in the memory.

[0238] According to an embodiment, the vehicle battery control device can identify a first driving model using the driving endurance data ( S640 ).

[0239] For example, the vehicle battery control device can identify the battery state of the vehicle using at least one of the existing driving model, driving endurance data, or any combination thereof determined (or identified) at the n-1th idle cycle.

[0240] For example, the vehicle battery control device can use at least one of the existing driving model, driving endurance data, or any combination thereof to redetermine (or identify) a first driving model that is different from the existing driving model and corresponds to the nth driving cycle.

[0241] According to an embodiment, the vehicle battery control device can store the first driving model in the memory (S650).

[0242] For example, the memory may be a non-volatile memory. Therefore, when the vehicle power is turned on again after being turned off, the vehicle battery control device can also read the data stored before the vehicle power is turned off from the memory.

[0243] Figure 7 The present invention is a flow chart of a vehicle battery control method according to an embodiment of the present invention.

[0244] According to one embodiment, a vehicle battery control device (eg: Figure 1 The vehicle battery control device 100) is capable of executing Figure 7 For example, the components included in the vehicle battery control device (for example: Figure 1 At least a portion of the memory 120, the control unit 130 and / or the display unit 140) is configured to be able to execute Figure 7 operation.

[0245] According to the above Figure 5 and Figure 6 In one embodiment, unlike the idle durability model being identified while the vehicle is driving and the driving durability model being identified while the vehicle is idle, based on Figure 7 The baseline idle model (or baseline idle durability model) and the Figure 8 The baseline driving model (or, baseline driving endurance model) can be determined (or, identified) when the vehicle is idle.

[0246] According to an embodiment, the vehicle battery control device can identify whether the power of the host vehicle is turned off (S710).

[0247] For example, the vehicle battery control device can recognize whether the vehicle has finished driving and the power supply has been turned off.

[0248] For example, when it is recognized that the power of the vehicle is turned off (or when it is recognized that the driving is ended and the power is turned off) (for example: "Yes" in step S710), the vehicle battery control device can execute step S720.

[0249] For example, when it is identified that the power of the vehicle is not turned off (or, when it is identified that the vehicle is driving) (for example, "No" in step S710), the vehicle battery control device can repeatedly execute step S710. This situation may be a situation where the vehicle is continuously driving. At this time, the vehicle battery control device can execute the above-mentioned Figure 5 The operation of storing the driving durability data and / or the idle durability model identified in the driving cycle identified in the n-1th cycle is used to determine (or identify) a first idle model (or a first idle durability model) corresponding to the nth cycle.

[0250] According to an embodiment, the vehicle battery control device is capable of identifying reference idle data ( S720 ).

[0251] For example, the baseline idle data may include at least one of the idle time before the vehicle starts driving, the battery SoC (state of charge) when the vehicle is idle, the battery temperature when the vehicle is idle and when it starts driving, or any combination thereof.

[0252] For example, the baseline idle data can include at least one predetermined constant value to generate an experimentally optimized baseline model.

[0253] According to one embodiment, the vehicle battery control device can identify whether the idle time exceeds a specified time (eg, 60 minutes) ( S730 ).

[0254] For example, when the idle time exceeds a specified time (eg, “Yes” in step S730 ), the vehicle battery control device can execute step S740 .

[0255] For example, when the idle time is less than or equal to a specified time (eg, “No” in step S730 ), the vehicle battery control device can execute step S735 .

[0256] According to an embodiment, the vehicle battery control device can identify the reference idle pattern identified in the previous cycle as the first reference idle pattern and store it in the memory (S735).

[0257] In other words, when assuming that the idle cycle based on power off in step S710 is the nth idle cycle, if the idle time is less than the specified time, the vehicle battery control device can determine (or identify) the previous benchmark idle model identified in the previous idle cycle of the nth idle cycle (for example: the n-1th idle cycle) as the first benchmark idle model and store it in the memory.

[0258] According to an embodiment, the vehicle battery control device can identify a first reference idle model using the reference idle data ( S740 ).

[0259] For example, the vehicle battery control device is able to identify information related to the degradation state of the battery based on the difference between baseline data identified using at least one of a first baseline idle model, baseline idle data, idle time, the SoC of the battery at the idle moment, or any combination thereof, and degradation data identified using an idle endurance model.

[0260] For example, the vehicle battery control device can use at least one of the previous baseline idle model, idle endurance data, idle endurance model, baseline idle data, or any combination thereof to re-determine (or, identify) a first baseline idle model that is different from the previous baseline idle model (for example: the baseline idle model of the n-1th idle cycle) and corresponds to the nth idle cycle.

[0261] According to an embodiment, the vehicle battery control device can store the first reference idle model in a memory ( S750 ).

[0262] For example, the memory may be a non-volatile memory. Therefore, when the vehicle power is turned on again after being turned off, the vehicle battery control device can also read the data stored before the vehicle power is turned off from the memory.

[0263] Figure 8 The present invention is a flow chart of a vehicle battery control method according to an embodiment of the present invention.

[0264] According to one embodiment, a vehicle battery control device (eg: Figure 1 The vehicle battery control device 100) is capable of executing Figure 8 For example, the components included in the vehicle battery control device (for example: Figure 1 At least a portion of the memory 120, the control unit 130 and / or the display unit 140) is configured to be able to execute Figure 8 operation.

[0265] In the following embodiments, although the operations from S810 to S850 can be performed sequentially, they do not have to be performed sequentially. For example, the order of the operations can be changed, or at least two operations can be performed in parallel. Figure 8 , the content corresponding to or repeated in the above text can be briefly described or omitted.

[0266] According to the above Figure 5 and Figure 6 In one embodiment, unlike the idle durability model which is identified while the vehicle is driving and the driving durability model which is identified while the vehicle is idle, based on Figure 7 The baseline idle model (or baseline idle durability model) and the Figure 8 The baseline driving model (or, baseline driving endurance model) can be identified when the vehicle is idle.

[0267] According to an embodiment, the vehicle battery control device can identify whether the power of the host vehicle is turned off (S810).

[0268] For example, the vehicle battery control device can recognize whether the vehicle has finished driving and the power supply has been turned off.

[0269] For example, when it is recognized that the power of the vehicle is turned off (or when it is recognized that the driving is ended and the power is turned off) (for example: "Yes" in step S810), the vehicle battery control device can execute step S820.

[0270] For example, when it is identified that the power of the vehicle is not turned off (or when it is identified that the vehicle is driving) (for example, "No" in step S810), the vehicle battery control device can repeatedly execute step S810. This situation may be a situation where the vehicle is continuously driving. At this time, the vehicle battery control device can execute the above-mentioned Figure 5 The driving endurance data storage operation and / or the idle endurance model corresponding to the n-1th cycle is used to determine (or identify) a first idle model (or a first idle endurance model) corresponding to the nth cycle.

[0271] According to an embodiment, the vehicle battery control device can identify reference driving data ( S820 ).

[0272] For example, the reference travel data can include at least one of energy used until the power supply of the host vehicle is turned off, current used during the travel of the host vehicle, average temperature of the battery during the travel, or any combination thereof.

[0273] For example, the reference driving data can include at least one predetermined constant value to generate a reference model optimized through experiments.

[0274] According to an embodiment, the vehicle battery control device can identify whether the energy used during the driving time exceeds a specified amount (eg, 0.5wh) (S830).

[0275] For example, when the energy used during the driving time exceeds a specified amount (eg, “Yes” in step S830 ), the vehicle battery control device is able to perform step S840 .

[0276] For example, when the energy used during the running time is less than a specified amount (eg, "No" in step S830), the vehicle battery control device can execute step S835.

[0277] According to one embodiment, the vehicle battery control device can determine (or, identify) the reference driving model identified in the previous cycle as the first reference driving model and store it in the memory (S835).

[0278] In other words, when it is assumed that the driving cycle before the power is turned off based on step S810 is the nth driving cycle, if the energy used during driving corresponding to the nth driving cycle is less than the specified amount, the previous baseline driving model identified in the previous driving cycle of the nth driving cycle (for example: the n-1th driving cycle) can be determined (or identified) as the first baseline driving model and stored in the memory.

[0279] According to an embodiment, the vehicle battery control device can identify a first reference driving model using the reference driving data ( S840 ).

[0280] For example, the vehicle battery control device is able to identify information related to the degradation state of the battery based on the difference between baseline data identified using a first baseline driving model, baseline driving data, driving time, a value related to the battery current during driving (for example, the RMS value of the current), an average battery temperature during driving, or any combination thereof, and degradation data identified using a driving endurance model.

[0281] For example, the vehicle battery control device can use at least one of the previous baseline driving models, driving endurance data, driving endurance models, baseline driving data, or any combination thereof to re-determine (or identify) a first baseline driving model that is different from the previous baseline driving model (for example, the baseline driving model of the n-1th driving cycle) and corresponds to the nth driving cycle.

[0282] According to an embodiment, the vehicle battery control device can store the first reference driving model in the memory (S850).

[0283] For example, the memory may be a non-volatile memory. Therefore, when the vehicle power is turned on again after being turned off, the vehicle battery control device can also read the data stored before the vehicle power is turned off from the memory.

[0284] Fig. 9 The present invention is a flow chart of a vehicle battery control method according to an embodiment of the present invention.

[0285] According to one embodiment, a vehicle battery control device (eg: Figure 1 The vehicle battery control device 100) is capable of executing Fig. 9 For example, the components included in the vehicle battery control device (for example: Figure 1 At least a portion of the memory 120, the control unit 130 and / or the display unit 140) is configured to be able to execute Fig. 9 operation.

[0286] In the following embodiments, although the operations from S910 to S930 can be performed sequentially, they do not have to be performed sequentially. For example, the order of the operations can be changed, or at least two operations can be performed in parallel. Fig. 9 , the content corresponding to or repeated in the above text can be briefly described or omitted.

[0287] According to an embodiment, the control unit can identify the driving endurance data based on the driving state of the host vehicle or the idling endurance data based on the parking state (S910).

[0288] For example, the idle endurance data may include at least one of the idle time before the vehicle starts driving, the battery SoC (state of charge) when the vehicle is idle, the battery temperature when the vehicle is idle and when it starts driving, or any combination thereof.

[0289] For example, the driving endurance data can include at least one of the energy used until the power of the vehicle is turned off, the current used during the driving of the vehicle, the average temperature of the battery during the driving, or any combination thereof.

[0290] According to an embodiment, the control unit can identify degradation data of the battery using at least a portion of the identified data ( S920 ).

[0291] According to an embodiment, the control unit can compare the degradation data with reference data to identify the degradation state of the battery ( S930 ).

[0292] For example, the control section can identify the degradation state including the degree of degradation of the battery based on the difference between the degradation data and the reference data.

[0293] For example, the control unit can display a battery status notification and / or a battery management guide related to the identified degradation state to the user through the display unit.

[0294] Fig.10 A computing system related to a vehicle battery control method according to an embodiment of the present invention is shown.

[0295] Reference Fig.10 The computing system 1000 related to the vehicle battery control method can 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 connected via a bus 1200.

[0296] The processor 1100 may be a central processing unit (CPU) or a semiconductor device that processes commands stored in the memory 1300 and / or the storage device 1600. The memory 1300 and the storage device 1600 may include various volatile or non-volatile storage media. For example, the memory 1300 may include a read only memory (ROM) and a random access memory (RAM).

[0297] Therefore, the steps of the methods or algorithms described in the embodiments disclosed in this specification can be directly implemented by hardware, software modules, or a combination of the two executed by the processor 1100. The software module can also reside in a storage medium (i.e., memory 1300 and / or storage device 1600) such as RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, removable disk, CD-ROM.

[0298] As an example, the storage medium can be combined with the processor 1100, and the processor 1100 can read information from the storage medium and record the information in the storage medium. As another method, the storage medium can also be integrated with the processor 1100. The processor and the storage medium can also reside in a custom integrated circuit (ASIC). The ASIC can also reside in a user terminal. As another method, the processor and the storage medium can also reside in a user terminal as a separate component.

[0299] The above description is only used to exemplify the technical concept of the present invention, and those skilled in the art can make various modifications and variations without departing from the essential characteristics of the present invention.

[0300] Therefore, the embodiments disclosed in the present invention are intended to illustrate rather than limit the technical ideas of the present invention, and the scope of the technical ideas of the present invention is not limited by such embodiments. The protection scope of the present invention should be interpreted by the claims, and all technical ideas within the equivalent scope should be interpreted as included in the scope of rights of the present invention.

Claims

1. A vehicle battery control device, comprising: a memory storing at least one instruction; as well as a control unit operatively connected to the memory, When the command is executed by the control unit, the vehicle battery control device executes the following processing: Acquire at least one of driving durability data based on the driving state of the vehicle, idling durability data based on the parking state, or any combination thereof, using at least a portion of the driving endurance data, the idle endurance data, or any combination thereof to obtain degradation data of a battery of the vehicle; The degradation state of the battery is calculated by comparing the reference data identified based on a preset reference model with the degradation data.

2. The vehicle battery control device according to claim 1, wherein: When the command is executed by the control unit, the vehicle battery control device executes the following processing: When the vehicle starts to travel, the travel durability data based on the travel state during travel is accumulated and stored in the memory, Deterioration data of the battery is identified based on at least one of the idle endurance data based on the parking state stored in the memory before the host vehicle starts traveling, an existing idle endurance model, or any combination thereof.

3. The vehicle battery control device according to claim 2, wherein: When the command is executed by the control unit, the vehicle battery control device executes the following processing: When it is determined that the idle time before the vehicle starts to travel exceeds a specified time, after identifying the degradation data of the battery based on at least one of an existing idle durability model, idle durability data, or any combination thereof corresponding to the idle period before the vehicle starts to travel, a first idle durability model determined by using the idle durability data, the degradation data, and the existing idle durability model is stored in the memory, When it is determined that the idle time is less than the designated time, the existing idle endurance model is determined as a first idle endurance model and stored in the memory.

4. The vehicle battery control device according to claim 1, wherein: The idle durability data includes at least one of the idle time before the vehicle starts driving, the battery power status when the vehicle is idle, the battery temperature when the vehicle is idle and when it starts driving, or any combination thereof.

5. The vehicle battery control device according to claim 1, wherein: When the command is executed by the control unit, the vehicle battery control device executes the following processing: When the vehicle ends its travel and the power is turned off, the idle durability data based on the parking state during the idle state is accumulated and stored in the memory. Deterioration data of the battery is identified based on at least one of the driving endurance data based on the driving state stored in the memory before the power of the host vehicle is turned off, an existing driving endurance model, or any combination thereof.

6. The vehicle battery control device according to claim 5, wherein: When the command is executed by the control unit, the vehicle battery control device executes the following processing: When it is determined that the energy used during the driving of the vehicle before the power is turned off exceeds a specified amount, after identifying the degradation data of the battery based on at least one of the existing driving durability model, the driving durability data, or any combination thereof, which are identified in the driving cycle before the power is turned off, a first driving durability model identified using the driving durability data, the degradation data, and the existing driving durability model is stored in the memory, When it is determined that the used energy is equal to or less than the designated amount, the existing running endurance model is determined as a first running endurance model and stored in the memory.

7. The vehicle battery control device according to claim 1, wherein: The running endurance data includes at least one of energy used until power of the host vehicle is turned off, current used during running of the host vehicle, average battery temperature during the running, or any combination thereof.

8. The vehicle battery control device according to claim 1, wherein: When the command is executed by the control unit, the vehicle battery control device executes the following processing: When the driving of the host vehicle ends and the power is turned off, the reference model is determined based on reference endurance data related to at least one of the current, the temperature of the battery, the state of charge, or any combination thereof, The degradation state of the battery is identified by comparing the reference data identified by inputting at least a portion of the driving endurance data, at least a portion of the idle endurance data, or any combination thereof into the reference model with the degradation data.

9. The vehicle battery control device according to claim 8, wherein: The vehicle battery control device further includes a display unit, When the command is executed by the control unit, the vehicle battery control device executes the following processing: identifying a score related to a degree of degradation of the battery based on a difference between the reference data and the degradation data, At least one of a designated battery status notification corresponding to the size of the score, a battery management guide identified based on a battery usage history, or any combination thereof is displayed using the display unit.

10. The vehicle battery control device according to claim 9, wherein: When the command is executed by the control unit, the vehicle battery control device executes the following processing: The battery operation guide is displayed including at least one of a ratio between slow charging and fast charging, a ratio between normal driving and rapid acceleration / deceleration driving, an average charge amount of a battery in parking, an average temperature of a battery in driving, or any combination thereof.

11. A vehicle battery control method, comprising: The control unit acquires at least one of driving durability data based on the driving state of the vehicle, idling durability data based on the parking state, or any combination thereof; The control unit acquires degradation data of a battery of the vehicle using at least a part of the driving durability data, the idle durability data, or any combination thereof; as well as The control unit compares the reference data recognized based on a preset reference model with the degradation data to calculate the degradation state of the battery.

12. The vehicle battery control method according to claim 11, wherein: The step of the control unit identifying the degradation data includes: When the vehicle starts to travel, the control unit accumulates and stores the travel durability data based on the travel state during travel in a memory; and The control unit identifies battery degradation data based on at least one of the idle durability data based on the parking state stored in the memory before the vehicle starts traveling, an existing idle durability model, or any combination thereof.

13. The vehicle battery control method according to claim 12, wherein: The vehicle battery control method comprises: When it is determined that the idle time before the vehicle starts running exceeds a specified time, the control unit identifies the degradation data of the battery based on at least one of an existing idle endurance model, idle endurance data, or any combination thereof corresponding to the idle period before the vehicle starts running, and then stores a first idle endurance model determined using the idle endurance data, the degradation data, and the existing idle endurance model in a memory; and The control unit determines an existing idle endurance model as a first idle endurance model and stores the model in the memory when it is determined that the idle time is less than or equal to the designated time.

14. The vehicle battery control method according to claim 11, wherein: The idle durability data includes at least one of the idle time before the vehicle starts driving, the battery power status when the vehicle is idle, the battery temperature when the vehicle is idle and when it starts driving, or any combination thereof.

15. The vehicle battery control method according to claim 11, wherein: The step of the control unit identifying the degradation data includes: When the vehicle ends its travel and the power is turned off, the control unit accumulates and stores the idle durability data based on the parking state in the memory; and The control unit recognizes battery degradation data based on at least one of the driving endurance data based on the driving state stored in the memory before the power of the vehicle is turned off, the existing driving endurance model, or any combination thereof.

16. The vehicle battery control method according to claim 15, wherein: The vehicle battery control method comprises: The control unit, when it is determined that the energy used during the driving period before the power is turned off exceeds a specified amount, stores in the memory a first driving endurance model identified by using the driving endurance data, the degradation data, and the existing driving endurance model after identifying degradation data of the battery based on at least one of the existing driving endurance model, the driving endurance data, or any combination thereof, identified during the driving cycle before the power is turned off; and A step in which, when it is determined that the used energy is equal to or less than the designated amount, the control unit determines an existing traveling endurance model as a first traveling endurance model and stores the model in the memory.

17. The vehicle battery control method according to claim 11, wherein: The running endurance data includes at least one of energy used until power of the host vehicle is turned off, current used during running of the host vehicle, average battery temperature during the running, or any combination thereof.

18. The vehicle battery control method according to claim 11, wherein: The vehicle battery control method further includes: When the running of the host vehicle ends and the power is turned off, the control unit determines the reference model based on reference endurance data related to at least one of the current, the temperature of the battery, the state of charge, or any combination thereof; and The control unit inputs at least a part of the driving endurance data, at least a part of the idle endurance data, or any combination thereof into the reference model, and compares the reference data identified with the degradation data to identify the degradation state of the battery.

19. The vehicle battery control method according to claim 11, wherein: The vehicle battery control method comprises: a step of the control section identifying a score related to a degree of degradation of a battery based on a difference between the reference data and the degradation data; and The control unit displays, using the display unit, at least one of a designated battery status notification corresponding to the size of the score, a battery operation guide identified based on a battery usage history, or any combination thereof among a plurality of battery status notifications.

20. The vehicle battery control method according to claim 19, wherein: The step of the control unit displaying the battery operation guide using the display unit further includes: The control unit uses a display unit to display the battery operation guide including at least one of a ratio between slow charging and fast charging, a ratio between normal driving and rapid acceleration / deceleration driving, an average charge amount of a battery when parked, an average temperature of a battery when driving, or any combination thereof.

Images