System and method for determining and managing battery degradation

Abstract

According to some embodiments set forth in the present disclosure, a computing system may comprise: an interface circuit; and at least one processor operatively connected to the interface circuit, wherein the at least one processor is configured to: acquire battery data associated with a battery of a vehicle; determine a regenerative braking level of the vehicle on the basis of the battery data; adjust a driving strategy for the vehicle on the basis of the regenerative braking level; and control driving of the vehicle on the basis of the regenerative braking level and the driving strategy.

Description

Systems and methods for determining and managing battery degradation

[0001] Cross-citation with related applications

[0002] This application claims the benefit of priority to Korean Patent Application No. 10-2023-0155379, filed November 10, 2023, and Korean Patent Application No. 10-2023-0114042, filed August 29, 2023, the entire contents of which are incorporated herein by reference.

[0003] Technology field

[0004] The present disclosure relates to systems and methods for determining battery degradation resulting from regenerative braking.

[0005] As demand for eco-friendly vehicles grows, electric vehicles (EVs) powered by batteries like lithium-ion secondary batteries are rapidly replacing conventional internal combustion engine vehicles. Meanwhile, as artificial intelligence and various sensor technologies advance, research and development is actively underway to improve the performance of hardware and software related to autonomous driving systems.

[0006] Autonomous driving systems supporting autonomous driving are being developed or provided as a single autonomous driving platform that includes various sensors and control units. Some electric vehicle manufacturers are mass-producing or developing autonomous electric vehicles based on these autonomous driving platforms.

[0007] Regenerative braking (RGB) refers to a braking method in which a vehicle, powered by a battery and a motor, utilizes the motor's power generation function to charge the battery during braking. Regenerative braking can occur at different levels, and the vehicle's braking power and battery charge level can vary depending on the level of regenerative braking. The vehicle's cruise control system can determine the appropriate level of regenerative braking and control the vehicle's driving accordingly. However, regenerative braking inevitably causes battery degradation due to the repeated charging and discharging of the battery. Consequently, the battery deteriorates more rapidly than when regenerative braking is not used. This rapid battery degradation necessitates more frequent battery replacement and leads to the production of more emissions and / or greenhouse gases during battery manufacturing. These emissions and / or greenhouse gases can have a negative impact on the environment, for example, by contributing to climate change.

[0008] One object of the embodiments disclosed herein is to provide a battery management system, vehicle, battery management method, and computer program that can take into account regenerative braking of a vehicle when predicting the degree of battery degradation, and in some cases, can adjust the charging and / or discharging of the battery to reduce battery degradation. By predicting the degree of battery degradation based on the level of regenerative braking and adjusting the charging and / or discharging of the battery to reduce battery degradation, the overall lifespan of the battery can be increased, thereby leading to reduced levels of emissions and / or greenhouse gases generated during battery manufacturing. Furthermore, the techniques described herein can be implemented in various types of automated vehicle platforms, thereby leading to widespread improvements in energy efficiency.

[0009] One object of the embodiments disclosed herein is to provide a computing system, a vehicle, a method of operating the computing system, and a computer program that can determine a regenerative braking and / or driving strategy of a vehicle by taking into account battery degradation.

[0010] The technical objectives of the embodiments disclosed in this document are not limited to the technical tasks mentioned above, and other technical tasks not mentioned will be clearly understood by those skilled in the art from the descriptions below.

[0011] Aspects of the present disclosure may include a computing system. The computing system may include at least one processor configured to receive battery data related to a battery of a vehicle, determine a regenerative braking level of the vehicle based on the battery data, adjust a driving strategy of the vehicle based on the regenerative braking level, and control driving of the vehicle based on the driving strategy.

[0012] In some examples, the battery data includes a state of charge (SOC) level of the battery, and the at least one processor is further configured to determine the regenerative braking level based on a relationship that is inversely proportional to the SOC level.

[0013] In some examples, the at least one processor is further configured to calculate a discharge amount of the SOC level based on driving of the vehicle and a charge amount of the SOC level based on regenerative braking of the vehicle, wherein the regenerative braking level is determined based on the discharge amount and the charge amount.

[0014] In some examples, the at least one processor is further configured to calculate a predicted discharge amount and a predicted charge amount of the SOC level after a preset time has elapsed, wherein calculating the predicted discharge amount and the predicted charge amount is based on the discharge amount and the charge amount, and determine a next level of the regenerative braking level based on the predicted discharge amount and the predicted charge amount.

[0015] In some examples, adjusting the driving strategy of the vehicle based on the regenerative braking level includes adjusting one or more of a driving speed, a driving path, a driving responsiveness, or a distance setting of the vehicle.

[0016] In some examples, adjusting the driving strategy of the vehicle based on the regenerative braking level includes increasing the driving speed of the vehicle and / or decreasing the inter-vehicle distance setting as the regenerative braking level increases.

[0017] In some examples, adjusting the driving strategy of the vehicle based on the regenerative braking level includes increasing the driving responsiveness and / or setting the driving path to a path that requires more braking by the vehicle as the regenerative braking level increases.

[0018] In some examples, adjusting the driving strategy of the vehicle based on the regenerative braking level includes reducing the driving speed of the vehicle and / or increasing the inter-vehicle distance setting when the regenerative braking level decreases.

[0019] In some examples, adjusting the driving strategy of the vehicle based on the regenerative braking level includes reducing the driving responsiveness to reduce acceleration and / or braking events when the regenerative braking level decreases, and / or setting the driving path to a path that requires less braking by the vehicle.

[0020] In some examples, the at least one processor is further configured to maintain the regenerative braking level constant in response to a change in the battery data and adjust the driving strategy based on a difference in battery charge resulting from the maintenance of the regenerative braking level.

[0021] In some examples, the at least one processor is further configured to determine whether an increase in the regenerative braking level is required in a next cycle based on a change in the battery data in the current cycle, and if the increase is determined to be required, determine the regenerative braking level in the next cycle to be the same as in the current cycle, and adjust the driving strategy in the next cycle to reflect an amount of decrease in the battery charge due to maintaining the regenerative braking level.

[0022] Certain aspects of the present disclosure relate to a vehicle including a battery; and a computing system.

[0023] Some aspects of the present disclosure relate to a vehicle control method, comprising: receiving, by one or more processors, battery data related to a battery of a vehicle; determining, by the one or more processors, a regenerative braking level of the vehicle based on the battery data; adjusting, by the one or more processors, a driving strategy of the vehicle based on the regenerative braking level; and controlling, by the one or more processors, driving of the vehicle based on the driving strategy.

[0024] In some examples, the battery data includes a state of charge (SOC) level of the battery, and the step of determining the regenerative braking level includes determining the regenerative braking level based on a relationship that is inversely proportional to the SOC level.

[0025] In some examples, the step of determining the regenerative braking level includes the step of calculating a discharge amount of the SOC level based on driving of the vehicle and a charge amount of the SOC level based on regenerative braking of the vehicle, wherein the regenerative braking level is determined based on the discharge amount and the charge amount.

[0026] In some examples, the step of determining the regenerative braking level includes the step of maintaining the regenerative braking level constant in response to a change in the battery data, and the step of adjusting the driving strategy includes the step of adjusting the driving strategy in consideration of a difference in battery charge amount due to the maintenance of the regenerative braking level.

[0027] In some examples, adjusting the driving strategy of the vehicle based on the regenerative braking level comprises adjusting one or more of a driving speed, a driving path, a driving responsiveness, or a distance setting of the vehicle.

[0028] In some examples, adjusting the driving strategy of the vehicle based on the regenerative braking level includes increasing the driving speed of the vehicle, decreasing the inter-vehicle distance setting, increasing the driving responsiveness, and / or setting the driving path to a path that requires more braking by the vehicle as the regenerative braking level increases.

[0029] In some examples, adjusting the driving strategy of the vehicle based on the regenerative braking level includes reducing the driving speed of the vehicle when the regenerative braking level decreases, increasing the following distance setting, reducing the driving responsiveness to reduce acceleration and / or braking events, and / or setting the driving path to a path that requires less braking by the vehicle.

[0030] Some aspects of the present disclosure relate to a non-transitory computer-readable medium storing instructions. The instructions, when executed by at least one processor, cause the at least one processor to perform the following operations: obtaining battery data related to a battery of a vehicle; determining a regenerative braking level of the vehicle based on the battery data; adjusting a driving strategy of the vehicle based on the regenerative braking level; and controlling driving of the vehicle based on the driving strategy.

[0031] According to some embodiments, a computing system includes an interface circuit; and at least one processor operatively connected to the interface circuit, wherein the at least one processor is configured to obtain battery data related to a battery of a vehicle, determine a regenerative braking level of the vehicle based on the battery data, adjust a driving strategy of the vehicle based on the regenerative braking level, and control driving of the vehicle based on the regenerative braking level and the driving strategy.

[0032] According to some embodiments, the battery data includes a state of charge (SOC) level of the battery, and the at least one processor can be configured to determine the regenerative braking level based on a relationship that is inversely proportional to the SOC level.

[0033] According to some embodiments, the at least one processor may be configured to calculate a discharge amount of the SOC level according to driving of the vehicle and a charge amount of the SOC level according to regenerative braking of the vehicle, and determine the regenerative braking level based on the discharge amount and the charge amount.

[0034] According to some embodiments, the at least one processor may be configured to calculate a predicted discharge amount and a predicted charge amount of the SOC level after a preset time has elapsed based on the discharge amount and the charge amount, determine a next level of the regenerative braking level based on the predicted discharge amount and the predicted charge amount, and maintain the next level until the preset time has elapsed.

[0035] In some embodiments, the at least one processor may be configured to aggressively adjust the driving strategy to account for increased braking power of the vehicle when the regenerative braking level increases, and to defensively adjust the driving strategy to account for decreased braking power of the vehicle when the regenerative braking level decreases.

[0036] According to some embodiments, the at least one processor may be configured to adjust the driving strategy by changing at least one of a driving speed, a driving path, a driving responsiveness, and a distance setting of the vehicle based on an increase or decrease in the regenerative braking level.

[0037] According to some embodiments, the at least one processor may be configured to maintain the regenerative braking level constant in response to a change in the battery data and adjust the driving strategy to take into account a difference in battery charge due to the maintenance of the regenerative braking level.

[0038] According to some embodiments, the at least one processor may be configured to determine whether an increase in the regenerative braking level is required in a next cycle based on a change in the battery data in the current cycle, and if the increase is determined to be required, determine the regenerative braking level in the next cycle to be the same as in the current cycle, and adjust the driving strategy in the next cycle to reflect an amount of decrease in the battery charge due to maintaining the regenerative braking level.

[0039] According to some embodiments, the vehicle may include a battery; and a computing system configured to obtain battery data related to the battery, determine a regenerative braking level of the vehicle based on the battery data, adjust a driving strategy of the vehicle based on the regenerative braking level, and control driving of the vehicle based on the regenerative braking level and the driving strategy.

[0040] In some embodiments, the battery data includes a state of charge (SOC) level of the battery, and the computing system can be configured to determine the regenerative braking level based on a relationship that is inversely proportional to the SOC level.

[0041] According to some embodiments, the computing system may be configured to calculate a discharge amount of the SOC level according to driving of the vehicle and a charge amount of the SOC level according to regenerative braking of the vehicle, and determine the regenerative braking level based on the discharge amount and the charge amount.

[0042] According to some embodiments, the computing system may be configured to calculate a predicted discharge amount and a predicted charge amount of the SOC level after a preset time has elapsed based on the discharge amount and the charge amount, determine a next level of the regenerative braking level based on the predicted discharge amount and the predicted charge amount, and maintain the next level until the preset time has elapsed.

[0043] In some embodiments, the computing system may be configured to aggressively adjust the driving strategy to account for increased braking power of the vehicle when the regenerative braking level increases, and to defensively adjust the driving strategy to account for decreased braking power of the vehicle when the regenerative braking level decreases.

[0044] According to some embodiments, the computing system may be configured to adjust the driving strategy by changing at least one of the driving speed, driving path, driving responsiveness, and inter-vehicle distance settings of the vehicle according to an increase or decrease in the regenerative braking level.

[0045] In some embodiments, the computing system may be configured to maintain the regenerative braking level constant in response to a change in the battery data and adjust the driving strategy to take into account a difference in battery charge due to the maintenance of the regenerative braking level.

[0046] According to some embodiments, the computing system may be configured to determine whether an increase in the regenerative braking level is required in a next cycle based on a change in the battery data in the current cycle, and if the increase is determined to be required, determine the regenerative braking level in the next cycle to be the same as in the current cycle, and adjust the driving strategy in the next cycle to reflect an amount of decrease in the battery charge due to maintaining the regenerative braking level.

[0047] According to some embodiments, a method of operating a computing system may include: obtaining battery data related to a battery of a vehicle; determining a regenerative braking level of the vehicle based on the battery data; adjusting a driving strategy of the vehicle based on the regenerative braking level; and controlling driving of the vehicle based on the regenerative braking level and the driving strategy.

[0048] According to some embodiments, the battery data includes a state of charge (SOC) level of the battery, and the step of determining the regenerative braking level may include a step of determining the regenerative braking level based on a relationship that is inversely proportional to the SOC level.

[0049] According to some embodiments, the step of determining the regenerative braking level may include the step of calculating a discharge amount of the SOC level according to driving of the vehicle and a charge amount of the SOC level according to regenerative braking of the vehicle; and the step of determining the regenerative braking level based on the discharge amount and the charge amount.

[0050] In some embodiments, the step of determining the regenerative braking level may include the steps of: calculating a predicted discharge amount and a predicted charge amount of the SOC level after a preset time has elapsed based on the discharge amount and the charge amount; determining a next level of the regenerative braking level based on the predicted discharge amount and the predicted charge amount; and maintaining the next level until the preset time has elapsed.

[0051] In some embodiments, the step of adjusting the driving strategy may include: aggressively adjusting the driving strategy in consideration of an increase in braking power of the vehicle when the regenerative braking level increases; and defensively adjusting the driving strategy in consideration of a decrease in braking power of the vehicle when the regenerative braking level decreases.

[0052] In some embodiments, the step of adjusting the driving strategy may include the step of adjusting the driving strategy by changing at least one of a driving speed, a driving path, a driving responsiveness, and a distance between vehicles of the vehicle according to an increase or decrease in the regenerative braking level.

[0053] In some embodiments, the step of determining the regenerative braking level may include the step of maintaining the regenerative braking level constant in response to a change in the battery data, and the step of adjusting the driving strategy may include the step of adjusting the driving strategy in consideration of a difference in the battery charge amount due to the maintenance of the regenerative braking level.

[0054] In some embodiments, the step of determining the regenerative braking level may include: determining whether an increase in the regenerative braking level is required in a next cycle based on a change in the battery data in the current cycle; and determining the regenerative braking level in the next cycle to be the same as in the current cycle if the increase is determined to be required; and the step of adjusting the driving strategy may include adjusting the driving strategy in the next cycle to reflect an amount of decrease in the battery charge due to maintenance of the regenerative braking level.

[0055] According to some embodiments, a computer program stored on a computer-readable medium may include instructions that, when executed by at least one processor, cause the at least one processor to perform the following operations: obtaining battery data related to a battery of a vehicle; determining a regenerative braking level of the vehicle based on the battery data; adjusting a driving strategy of the vehicle based on the regenerative braking level; and controlling driving of the vehicle based on the regenerative braking level and the driving strategy.

[0056] According to some embodiments, the battery data includes a state of charge (SOC) level of the battery, and the operation of determining the regenerative braking level may include an operation of determining the regenerative braking level based on a relationship that is inversely proportional to the SOC level.

[0057] According to some embodiments, the operation of determining the regenerative braking level may include: calculating a discharge amount of the SOC level according to driving of the vehicle and a charge amount of the SOC level according to regenerative braking of the vehicle; and determining the regenerative braking level based on the discharge amount and the charge amount.

[0058] In some embodiments, the operation of determining the regenerative braking level may include: an operation of calculating a predicted discharge amount and a predicted charge amount of the SOC level after a preset time has elapsed based on the discharge amount and the charge amount; an operation of determining a next level of the regenerative braking level based on the predicted discharge amount and the predicted charge amount; and an operation of maintaining the next level until the preset time has elapsed.

[0059] In some embodiments, the act of adjusting the driving strategy may include an act of aggressively adjusting the driving strategy in consideration of an increase in the braking power of the vehicle when the regenerative braking level increases; and an act of defensively adjusting the driving strategy in consideration of a decrease in the braking power of the vehicle when the regenerative braking level decreases.

[0060] In some embodiments, the act of adjusting the driving strategy may include an act of adjusting the driving strategy by changing at least one of a driving speed, a driving path, a driving responsiveness, and a distance between vehicles of the vehicle according to an increase or decrease in the regenerative braking level.

[0061] According to some embodiments, the operation of determining the regenerative braking level may include an operation of maintaining the regenerative braking level the same in response to a change in the battery data, and the operation of adjusting the driving strategy may include an operation of adjusting the driving strategy in consideration of a difference in the battery charge amount due to the maintenance of the regenerative braking level.

[0062] In some embodiments, the operation of determining the regenerative braking level may include an operation of determining whether an increase in the regenerative braking level is required in a next cycle based on a change in the battery data in the current cycle; and an operation of determining the regenerative braking level in the next cycle to be the same as in the current cycle if the increase is determined to be required, and the operation of adjusting the driving strategy may include an operation of adjusting the driving strategy in the next cycle to reflect an amount of decrease in the battery charge due to maintenance of the regenerative braking level.

[0063] According to embodiments, a battery management system, a vehicle, a battery management method, and a computer program may be provided that can take into account regenerative braking of a vehicle when predicting the degree of battery degradation.

[0064] According to embodiments, a computing system, a vehicle, a method of operating the computing system, and a computer program may be provided that can determine a regenerative braking and / or driving strategy of a vehicle by taking into account battery degradation.

[0065] The technical effects according to the embodiments disclosed in this document are not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art according to the disclosure of this document.

[0066] FIG. 1 is a diagram illustrating a vehicle management system according to some embodiments disclosed in this document.

[0067] FIG. 2 is a drawing illustrating a process of performing regenerative braking in a vehicle according to some embodiments disclosed in this document.

[0068] FIG. 3 is a drawing illustrating components and functions of a battery according to some embodiments disclosed in this document.

[0069] FIG. 4 is a diagram illustrating a process for predicting the degree of battery degradation based on an estimated level of regenerative braking according to some embodiments disclosed in this document.

[0070] FIG. 5 is a diagram illustrating a degradation prediction model according to some embodiments disclosed in this document.

[0071] FIG. 6 is a diagram illustrating steps of a battery management method according to some embodiments disclosed in this document.

[0072] FIG. 7 is a diagram illustrating components and functions of a computing system according to some embodiments disclosed in this document.

[0073] FIG. 8 is a diagram illustrating a process for determining a regenerative braking level and adjusting a driving strategy according to some embodiments disclosed in this document.

[0074] FIG. 9 is a diagram illustrating a process of adjusting only the driving strategy while maintaining the regenerative braking level according to some embodiments disclosed in this document.

[0075] FIG. 10 is a diagram illustrating steps constituting a method of operating a computing system according to some embodiments disclosed in this document.

[0076] Hereinafter, embodiments described in this document are described with reference to the attached drawings. However, this is not intended to limit the disclosure of this document to specific embodiments, and it should be understood that various modifications, equivalents, and / or alternatives of the embodiments described in this document are included.

[0077] The embodiments and terminology used in this document are not intended to limit the technical features described in this document to a specific embodiment, but should be understood to encompass various modifications, equivalents, or alternatives of the embodiment. In connection with the description of the drawings, similar reference numerals may be used to refer to similar or related components. The singular form of a noun corresponding to an item may include one or more of the item, unless the context clearly indicates otherwise.

[0078] In this document, the phrases "A or B", "at least one of A and B", "at least one of A or B", "A, B, or C", "at least one of A, B, and C", and "at least one of A, B, or C" can each include any one of the items listed together in that phrase, or all possible combinations thereof. Terms such as "first", "second", "first", "second", "A", "B", "(a)", or "(b)" may be used merely to distinguish the corresponding component from other corresponding components, and do not limit the corresponding components in any other respect (e.g., importance or order) unless specifically stated otherwise.

[0079] In this document, when a component (e.g., a first component) is referred to as being “connected,” “coupled,” or “connected,” with or without the terms “functionally” or “communicatively,” or “coupled” or “connected,” it means that the component can be connected to the other component directly (e.g., wired or wirelessly), or indirectly (e.g., via a third component).

[0080] The methods according to various embodiments disclosed in this document may be provided as a computer program product. The computer program product may be traded as a commodity between a seller and a buyer. The computer program product may be distributed in the form of a machine-readable storage medium (e.g., compact disc read-only memory, CD-ROM), or may be distributed online (e.g., downloaded or uploaded) through an application store or directly between two user devices. In the case of online distribution, at least a portion of the computer program product may be temporarily stored or temporarily generated in a machine-readable storage medium, such as the memory of a manufacturer's server, an application store's server, or an intermediary server.

[0081] According to the embodiments disclosed in this document, each component (e.g., a module or a program) of the above-described components may include one or more entities, and some of the entities may be separated and placed in other components. According to the embodiments disclosed in this document, one or more components or operations of the aforementioned components may be omitted, or one or more other components or operations may be added. Alternatively or additionally, a plurality of components (e.g., a module or a program) may be integrated into a single component. In this case, the integrated component may perform one or more functions of each of the plurality of components identically or similarly to those performed by the corresponding component among the plurality of components prior to the integration. According to the embodiments disclosed in this document, the operations performed by a module, program, or other component may be executed sequentially, in parallel, iteratively, or heuristically, or one or more of the operations may be executed in a different order, omitted, or one or more other operations may be added.

[0082] FIG. 1 is a diagram illustrating a vehicle management system according to some embodiments disclosed in this document.

[0083] Referring to FIG. 1, a vehicle management system (1) may include a vehicle (10), a network (20), an autonomous driving management server (30), and an energy management server (40). For example, the vehicle management system (1) may refer to a system that manages a vehicle (10) by having the autonomous driving management server (30) and the energy management server (40) analyze and / or manage data regarding driving of the vehicle (10) and data regarding energy collected through the network (20).

[0084] The vehicle (10) may include a communication module (100), a sensor module (200), a computing system (300), a battery (400), and a driving system (500). For example, the vehicle (10) may be an electric vehicle (EV) or a hybrid electric vehicle (HEV) that generates driving force using electric energy. In addition, according to various embodiments, the vehicle (10) may include a vehicle equipped with an autonomous driving function, and the communication module (100), the sensor module (200), and the computing system (300) may be implemented in the form of an autonomous driving platform, but are not limited thereto.

[0085] The communication module (100) can exchange data with the outside of the vehicle (10). For example, the communication module (100) can establish a wired and / or wireless communication channel, exchange various data with the outside through the established communication channel, and in particular, access external devices of the vehicle (10) through a network (20).

[0086] The sensor module (200) can detect objects located around the vehicle (10). For example, the sensor module (200) can include a camera sensor for detecting surrounding objects, a Global Navigation Satellite System (GNSS) sensor for assisting mapping, recognition, occupancy grid generation, and / or path planning functions, a RADAR sensor for detecting surrounding vehicles, an ultrasonic sensor for parking assistance and / or occupancy grid generation, a LIDAR sensor for object and pedestrian detection, emergency braking, collision avoidance, and / or other functions, an Inertial Measurement Unit (IMU) sensor including an accelerometer, a magnetometer, a gyroscope, and / or a magnetic compass, a vibration sensor, a temperature sensor, and / or a speed sensor.

[0087] The computing system (300) can manage the overall operation of the vehicle (10) and the functions provided by the vehicle (10). To this end, the computing system (300) can control and / or manage the operation of the communication module (100), the sensor module (200), the battery (400), and / or the driving system (500).

[0088] The computing system (300) can process various operations related to the vehicle (10) and execute programs, software, or commands. According to some embodiments, the computing system (300) can process operations related to driving control of the vehicle (10) and / or operations related to energy management functions. For example, operations related to driving control of the vehicle (10) may include operations for determining / determining driving strategies, driving paths, behaviors, etc. of the vehicle (10). According to some embodiments, the computing system (300) can determine the regenerative braking level of the vehicle (10) based on battery data including the state of charge (SOC) of the battery (400), and can adjust the driving strategy of the vehicle (10) based on the regenerative braking level.

[0089] The computing system (300) may include at least one processor for computational processing and instruction execution and an interface circuit for interacting with other elements of the vehicle (10). According to some embodiments, the communication method of the interface circuit may be a device-to-device communication method such as a bus, general purpose input and output (GPIO), serial peripheral interface (SPI), mobile industry processor interface (MIPI), etc.

[0090] At least one processor of the computing system (300) may have a structure for executing instructions that implement processes processed within the vehicle (10). The at least one processor may be implemented as an array of multiple logic gates for processing various operations or as a general-purpose microprocessor, and may be composed of a single processor or multiple processors. For example, the at least one processor may be implemented in the form of a microprocessor, a central processing unit (CPU), a graphics processing unit (GPU), an application processor (AP), an application-specific integrated circuit (ASIC), or a combination thereof.

[0091] At least one processor of the computing system (300) may be configured separately or integrally with a memory (not shown) configured to store instructions, and may process various operations by executing instructions stored in the memory. The memory may store various data, instructions, mobile applications, computer programs, etc. For example, the memory may be implemented as a non-volatile memory such as ROM, PROM, EPROM, EEPROM, flash memory, PRAM, MRAM, RRAM, FRAM, etc., or a volatile memory such as DRAM, SRAM, SDRAM, PRAM, RRAM, FeRAM, etc., and may be implemented in the form of an HDD, SSD, SD, Micro-SD, etc., or a combination thereof. In some examples, the computing system (300) may be implemented as a system on a chip (SoC).

[0092] The battery (400) can supply power and / or electrical energy to the vehicle (10). For example, the battery (400) can be a rechargeable secondary battery that is discharged while supplying power to the vehicle (10) and charged by a battery charging device, and can be, by way of example, a lithium ion battery, but is not limited thereto. According to some embodiments, the battery (400) can be charged by regenerative braking of the vehicle (10). According to some embodiments, the battery (400) can include battery cells, battery modules, battery packs, and / or battery racks, and can include a battery management system (BMS) for managing the battery cells, modules, packs, etc.

[0093] A battery management system (BMS) may be a battery management system that manages the overall operation / function of a battery (400). According to some embodiments, the BMS may process calculations related to energy management functions, and in some cases, the BMS may provide the results of the calculations to a computing system (300). According to some embodiments, the battery management system of the battery (400) may determine whether regenerative braking of the vehicle (10) occurs, and may predict the degree of deterioration of the battery pack based on data related to regenerative braking.

[0094] The drive system (500) can control the driving and / or behavior of the vehicle (10). For example, it can control the operation of actuators related to braking, driving, and posture of the vehicle (10). According to some embodiments, the drive system (500) may include, but is not limited to, a braking system that controls the operation of an actuator related to braking, a posture control system that controls the operation of an actuator for stably maintaining the posture of the vehicle body, a steering system that controls the operation of an actuator for controlling the lateral behavior of the vehicle, a transmission system that controls the operation of an actuator for automatic transmission, and / or an engine management system that controls the operation of an actuator for controlling the driving speed of the vehicle.

[0095] According to some embodiments, the drive system (500) may control the driving and / or behavior of the vehicle (10) in response to a control command of the computing system (300). For example, the drive system (500) may control the driving and / or behavior of the vehicle (10) in response to a control command based on a computational result of the computing system (300) (e.g., a computation / execution result of autonomous driving software). According to some embodiments, the drive system (500) may drive the vehicle (10) based on a regenerative braking level and a driving strategy set by the computing system (300).

[0096] The network (20) may refer to a data communication network that supports communication between the vehicle (10), the autonomous driving management server (30), and the energy management server (40). For example, the network (20) may include a wired network, a wireless network, or a combination thereof, and may be any other type of network as long as it supports data exchange. According to some embodiments, the wired network may include a local area or wide area Internet that supports the TCP / IP protocol, and the wireless network may include a base station-based wireless communication network, a satellite communication network, a local area wireless communication network such as Wi-Fi, or a combination thereof.

[0097] According to some embodiments, the network (20) may include a 2G to 5G network, an LTE network, a Global System for Mobile communication (GSM) network, a Code Division Multiple Accesses (CDMA) network, an Evolution-Data Optimization (EVDO) network, a Public Land Mobile network, and / or other networks. According to some embodiments, the network (20) may include a Local Area Network (LAN), a Wireless Local Area Network (WLAN), a Wide Area Network, a Metropolitan Network (MAN), a Public Switched Telephone Network (PSTN), an ad hoc network, a managed IP network, a Virtual Private Network, an Intranet, the Internet, a fiber-optic-based network, and / or combinations thereof, or other types of networks.

[0098] According to some embodiments, the autonomous driving management server (30) and the energy management server (40) may include a communication module, a processor, a database, etc. The autonomous driving management server (30) and the energy management server (40) may obtain vehicle-related data from the vehicle (10) through the communication module. For example, the vehicle-related data may include driving data related to driving of the vehicle (10) and / or battery data related to the battery (400) of the vehicle (10). The autonomous driving management server (30) and the energy management server (40) may record vehicle-related data provided from the vehicle (10) in a database. For example, the processor of the autonomous driving management server (30) or the energy management server (40) may include a central processing unit (CPU), an application processor (AP), a graphics processing unit (GPU), a neural network processing unit (NPU), an image signal processor, etc., and may perform various data processing or calculations.

[0099] According to some embodiments, the autonomous driving management server (30) may support updates of autonomous driving software installed in the vehicle (10), navigation map updates, driving control of the vehicle (10), etc., and may store driving data, black box video data, etc. provided from the vehicle (10) for a certain period of time. In addition, the autonomous driving management server (30) may be configured to perform various functions related to processing, managing, and storing information or data related to driving of the vehicle (10).

[0100] According to some embodiments, driving control for a vehicle (10) may mean controlling driving-related variables such as the position, speed, acceleration, driving direction, engine / motor RPM, transmission ratio, suspension damping, and regenerative braking level of the vehicle (10) based on driving data of the vehicle (10). For example, the driving data may include object data regarding objects surrounding the vehicle (10) and behavior data regarding the behavior of the vehicle (10). According to some embodiments, the object data may include the type and number of surrounding objects, the distance from the vehicle (10), the relative position with respect to the vehicle (10), the ground position, the relative speed, the ground speed, the relative acceleration, the ground acceleration, and the like, and the behavior data may include the position, the moving path, the driving distance, the speed, the acceleration, the steering angle, the yaw, the pitch, the roll, and the like of the vehicle (10).

[0101] According to some embodiments, the autonomous driving management server (30) may perform driving control for the vehicle (10) by remotely controlling acceleration, deceleration, steering, and combinations thereof of the vehicle (10). According to some embodiments, the autonomous driving management server (30) may execute driving control software that remotely controls driving of the vehicle (10). For example, the driving control software may provide commands for controlling the driving system (500) to the computing system (300) of the vehicle (10) based on driving data provided from the communication module (100) and / or the sensor module (200) of the vehicle (10). Meanwhile, the driving control software may additionally consider battery data provided from the battery (400) when performing driving control for the vehicle (10).

[0102] According to some embodiments, the energy management server (40) may support updates of energy management software installed in the vehicle (10), machine learning for energy-related artificial intelligence models, etc., and may store battery data, artificial intelligence model parameters, etc. provided from the vehicle (10) for a certain period of time. In addition, the energy management server (40) may be configured to perform various functions related to processing, managing, and storing information or data related to the battery (400) of the vehicle (10).

[0103] According to some embodiments, the energy management function performed on the vehicle (10) may mean an operation of generating and / or providing status diagnosis, life prediction, operation control (e.g., cell balancing), charging guide, etc. of the battery (400) based on battery data provided from the battery (400) of the vehicle (10). For example, the battery data may include voltage data, current data, temperature data, state of charge (SOC) data, state of health (SOH) data, and combinations thereof, and may further include cumulative charge current, cumulative discharge current, cumulative charge power, cumulative discharge power, insulation resistance, relay status, etc.

[0104] According to some embodiments, the energy management server (40) may perform energy management functions for the vehicle (10) by remotely generating and / or providing status diagnosis, life prediction, operation control (e.g., cell balancing), charging guide, etc. of the battery (400). According to some embodiments, the energy management server (40) may execute energy management software that remotely manages the battery (400) of the vehicle (10). For example, the energy management software may provide commands for performing energy management functions to the computing system (300) of the vehicle (10) or the BMS of the battery (400) based on battery data provided from the battery management system (BMS) of the battery (400). Meanwhile, the energy management software may additionally consider driving data provided from the communication module (100) and / or the sensor module (200) when performing the energy management functions for the vehicle (10).

[0105] FIG. 2 is a drawing illustrating a process of performing regenerative braking in a vehicle according to some embodiments disclosed in this document.

[0106] Referring to FIG. 2, the computing system (300) in the vehicle (10) controls the battery (400) and the driving system (500), so that the battery (400) can be discharged according to the driving of the vehicle (10) and the battery (400) can be charged according to the braking of the vehicle (10).

[0107] According to some embodiments, the computing system (300) may control the battery (400) to supply electrical energy to the drive system (500). The drive system (500) may drive a motor using the electrical energy supplied from the battery (400). According to some embodiments, the drive system (500) may include one or more electric motors. When the motor is driven, the vehicle (10) may accelerate, and even when the vehicle (10) is traveling at a constant speed, the battery (400) may be discharged to drive the motor.

[0108] According to some embodiments, the computing system (300) may control the drive system (500) so that the battery (400) is charged while the vehicle (10) decelerates. For example, the computing system (300) may control the drive system (500) so that the braking device of the drive system (500) operates, or so that the motor does not generate driving force. When the motor rotates together with the wheels of the drive system (500) without receiving separate driving force, electric energy can be generated from the motor by the principle of electromagnetic induction. According to some embodiments, regenerative braking may refer to a braking method that charges the battery (400) by using electric energy generated from the motor when the vehicle (10) is braking or decelerating.

[0109] In general, considering that the lifespan of a rechargeable secondary battery may be reduced when charging and discharging are repeated, when regenerative braking is performed, the battery (400) may be repeatedly discharged and charged, which may deteriorate the performance of the battery (400). Although regenerative braking may be advantageous in terms of the driving range of the vehicle (10) or the charging cost of the battery (400), it may be disadvantageous in terms of the performance or lifespan of the battery (400). Therefore, a management technique may be required that takes into account the deterioration of the battery (400) while simultaneously utilizing the advantages of regenerative braking of the vehicle (10).

[0110] FIG. 3 is a drawing illustrating components and functions of a battery according to some embodiments disclosed in this document.

[0111] Referring to FIG. 3, the battery (400) may include a battery pack (410) and a battery management system (420). However, the present invention is not limited thereto, and some components of the battery (400) may be omitted or other general-purpose components may be added to the battery (400). According to some embodiments, the battery (400) may predict the degree of degradation of the battery pack (410) based on driving data and battery data.

[0112] According to some embodiments, the battery management system (420) may include at least one controller or at least one processor. At least one controller / processor of the battery management system (420) may have a structure for processing various operations, processes, and commands. According to some embodiments, at least one controller / processor of the battery management system (420) may be configured separately from or integral with a memory (not shown) and may process various operations by executing commands stored in the memory.

[0113] According to some embodiments, the battery management system (420) can predict the degradation of the battery pack (410) based on battery data measured in the battery pack (410) and driving data measured in the communication module (100) and / or sensor module (200) of the vehicle (10). According to some embodiments, the functions and / or operations performed by the controller below can be interpreted as being performed by the battery management system (410) in the vehicle (10).

[0114] According to some embodiments, the battery management system (420) may include a data acquisition unit. The data acquisition unit may be configured to acquire driving data related to driving of the vehicle (10) and battery data related to the battery pack (410) of the vehicle (10). For example, the data acquisition unit of the battery management system (420) may include an interface circuit for interacting with other elements of the vehicle (10), and the communication method of the data acquisition unit may be a device-to-device communication method such as a bus, GPIO, SPI, MIPI, etc.

[0115] The data acquisition unit of the battery management system (420) may be configured to acquire driving data related to driving of the vehicle (10) and battery data related to the battery pack (410). According to some embodiments, the driving data may include object data regarding surrounding objects of the vehicle (10) and behavior data regarding behavior of the vehicle (10). The object data may include types and numbers of surrounding objects, distances from the vehicle (10), relative positions with respect to the vehicle (10), ground positions, relative speeds, ground speeds, relative accelerations, ground accelerations, etc., and the behavior data may include positions, travel paths, travel distances, speeds, accelerations, steering angles, yaws, pitches, rolls, etc. of the vehicle (10). According to some embodiments, the battery data may include voltage data, current data, temperature data, state of charge (SOC) data, state of health (SOH) data, and combinations thereof, and may further include cumulative charge current, cumulative discharge current, cumulative charge power, cumulative discharge power, insulation resistance, relay status, and the like.

[0116] The controller of the battery management system (420) may be configured to determine whether regenerative braking of the vehicle (10) occurs based on driving data and battery data. According to some embodiments, regenerative braking may be determined to occur when the vehicle (10) is decelerating and the remaining state of charge (SOC) level of the battery pack (410) increases. Conversely, even if the SOC level increases, regenerative braking may be determined not to occur when the vehicle (10) is not driving or a battery charger is connected to the vehicle (10).

[0117] The controller of the battery management system (420) may be configured to derive statistical data related to the occurrence of regenerative braking. In some embodiments, the controller may be configured to derive charging data related to the charging of the battery pack (410) due to regenerative braking. In some embodiments, the statistical data may include the number of times regenerative braking has occurred, the frequency of regenerative braking, the duration of regenerative braking, and statistical variables derived therefrom. In some embodiments, the charging data may include the amount of variation in the SOC level of the battery pack (410), the amount of variation in voltage, the amount of variation in current, the amount of variation in temperature, and battery-related variables derived therefrom.

[0118] The controller of the battery management system (420) may be configured to predict the degree of degradation of the battery pack (410) based on statistical data. According to some embodiments, the controller may be configured to predict the degree of degradation of the battery pack (410) based on the statistical data and the charging data. According to some embodiments, the degree of degradation of the battery pack (410) may include the degree of degradation due to driving of the vehicle (10) regardless of regenerative braking and the degree of degradation due to regenerative braking. According to some embodiments, the degree of degradation due to regenerative braking may increase as regenerative braking occurs more frequently, as the frequency of regenerative braking increases, as the duration of regenerative braking increases, and as the fluctuation range of charging data increases, and may be expressed as a numerical value relating to the ratio of the performance that is degraded based on the maximum performance of the battery pack (410).

[0119] According to some embodiments, the controller of the battery management system (420) may be configured to predict a degree of degradation based on the number of occurrences of regenerative braking according to statistical data and the amount of charge of the battery pack (410) according to charging data. The number of occurrences of regenerative braking may be counted based on the statistical data, and the amount of increase in the SOC level of the battery pack (410) due to each regenerative braking may be calculated as the amount of charge. According to some embodiments, the greater the number of occurrences of regenerative braking and the greater the amount of charge of the battery pack (410) due to regenerative braking, the higher the degree of degradation may be predicted to be.

[0120] According to some embodiments, the controller of the battery management system (420) may be configured to obtain a charger connection status indicating whether a battery charger is connected to the vehicle (10), and determine whether regenerative braking of the vehicle (10) occurs based on driving data, battery data, and the charger connection status. According to some embodiments, if the battery charger is connected, the remaining capacity of the battery pack (410) may be charged even if regenerative braking is not performed, thereby allowing for a more accurate determination of whether regenerative braking occurs.

[0121] FIG. 4 is a diagram illustrating a process for predicting the degree of battery degradation based on an estimated level of regenerative braking according to some embodiments disclosed in this document.

[0122] Referring to FIG. 4, in the battery management system (420), an estimated level (42) can be calculated based on the driving data of the vehicle (10) and the charge amount of the battery pack (410), and a degradation level (44) of the battery pack (410) can be predicted based on the number of occurrences of regenerative braking and the estimated level (42), and a charge / discharge restriction (46) for the battery pack (410) can be performed based on the degradation level (44).

[0123] According to some embodiments, the controller of the battery management system (420) may be configured to calculate an estimated level (42) of regenerative braking based on driving data and a state of charge, and to predict a degradation degree (44) based on the number of occurrences and the estimated level (42). The regenerative braking of the vehicle (10) may be performed according to the regenerative braking level. In this regard, the computing system (300) of the vehicle (10) may determine the regenerative braking level. According to some embodiments, the regenerative braking level may be composed of three levels, such as 1 to 3, A to C, etc. In other embodiments, the regenerative braking level may include five levels, eight levels, ten levels, or any other number of levels, and in some examples, the regenerative braking level may be set as a continuous value instead of a discrete value.

[0124] The controller of the battery management system (420) can predict the value of the regenerative braking level determined by the computing system (300), or can receive the value of the regenerative braking level determined by the computing system (300). According to some embodiments, the prediction of the regenerative braking level can be performed based on driving data and the amount of charge. For example, if the driving data indicates that the vehicle (10) is decelerating to a moderate level and the amount of charge indicates that the battery pack (410) is being charged to a moderate level, the estimated level (42) of the regenerative braking can be predicted to be a B level among AC levels.

[0125] Once the estimated level (42) of regenerative braking is determined, the degradation degree (44) of the battery pack (410) can be determined based on how much regenerative braking occurs at the determined estimated level (42). In some embodiments, the higher the estimated level (42) and the more regenerative braking occurs, the higher the degradation degree (44) can be calculated. If the estimated level (42) of regenerative braking changes, the number of occurrences at the changed level can be recounted.

[0126] According to some embodiments, the controller of the battery management system (420) may be further configured to limit at least one of discharging of the battery pack (410) by driving of the vehicle (10) or charging of the battery pack (410) by regenerative braking at a preset rate based on the number of occurrences and the estimated level. According to some embodiments, a degradation level (44) may be calculated based on the number of occurrences and the estimated level, and if the degradation level (44) exceeds a degradation level threshold, a charge / discharge limit (46) may be applied to the battery pack (410).

[0127] When the charge / discharge limit (46) is applied, a portion of the charging of the battery pack (410) is limited so that only a portion of the power generated by regenerative braking is transferred to the battery pack (410), or the computing system (300) can set the regenerative braking level to a certain level or lower. In addition, a portion of the discharge of the battery pack (410) may be limited so that the output of the driving system (500) may be reduced, and thus the speed or acceleration of the vehicle (10) may be reduced. According to the charge / discharge limit (46), excessive repetition of charging and discharging of the battery pack (410) may be prevented, and thus degradation of the battery pack (410) may be reduced.

[0128] FIG. 5 is a diagram illustrating a degradation prediction model according to some embodiments disclosed in this document.

[0129] Referring to FIG. 5, the controller of the battery management system (420) can predict the deterioration of the battery pack (410) from the charge amount and driving data using the deterioration prediction model (50), and the deterioration prediction model (50) can include a first sub-model (52) and a second sub-model (54).

[0130] According to some embodiments, the controller of the battery management system (420) may be configured to predict the degree of degradation using a degradation prediction model (50), wherein the degradation prediction model (50) may include a first sub-model (52) trained to produce an estimated level and a second sub-model (54) trained to predict the degree of degradation. According to some embodiments, the degradation prediction model (50) may produce an estimated level of regenerative braking based on driving data and a charge amount through the first sub-model (52), and may predict the degree of degradation of the battery pack (410) based on the estimated level and the number of occurrences through the second sub-model (54).

[0131] According to some embodiments, the degradation prediction model (50) may be an AI model that is trained and updated through various machine learning techniques based on a neural network structure. The degradation prediction model (50) may determine model parameters through machine learning using known relationships among the amount of charge, driving data, and degradation as learning data, and the model parameters may be continuously optimized as the vehicle (10) is driven.

[0132] According to some embodiments, the controller of the battery management system (420) may be configured to obtain the regenerative braking level of the regenerative braking determined by the computing system (300) of the vehicle (10) and update the first sub-model (52) by comparing the estimated level with the regenerative braking level. If the regenerative braking level actually determined by the computing system (300) can be utilized, the first sub-model (52) that predicts the estimated level of regenerative braking may be updated. For example, if a difference occurs between the estimated level of the first sub-model (52) and the actual regenerative braking level, the first sub-model (52) may be trained in a direction that reduces the difference. Accordingly, the performance of the first sub-model (52) may be improved, and even if the actual regenerative braking level is not provided in the future, the first sub-model (52) may provide an accurate estimated level.

[0133] According to some embodiments, the controller of the battery management system (420) may be configured to transmit the number of occurrences and the estimated level to an energy management server (40) external to the vehicle (10), and receive the degradation predicted based on the number of occurrences and the estimated level through a degradation prediction model (50) by the energy management server (40). According to some embodiments, the degradation prediction model (50) may be operated by the energy management server (40) rather than the battery management system (420). To this end, the battery management system (420) may provide data to be input into the degradation prediction model (50) to the energy management server (40), and the energy management server (40) may provide the prediction result of the degradation prediction model (50) to the battery management system (420). In this manner, when the degradation prediction model (50) is operated by an external energy management server (40), model inference operations and model updates requiring a high amount of computation may be smoothly performed.

[0134] FIG. 6 is a diagram illustrating steps of a battery management method according to some embodiments disclosed in this document.

[0135] Referring to FIG. 6, the battery management method (600) may include steps (610) to (640). However, the present invention is not limited thereto, and some steps may be omitted or general steps may be added, and the steps of the battery management method (600) may be executed in a different order than the illustrated order.

[0136] Steps (610) to (640) of the battery management method (600) may be performed by the battery management system (420) of the battery (400). According to some embodiments, the battery management method (600) may be composed of steps that are processed in a time-series manner by the battery management system (420). Therefore, even if the content is omitted below, the content described above for the battery management system (420) may be equally applicable to the battery management method (600).

[0137] In step (610), the battery management system (420) can acquire driving data related to driving of the vehicle and battery data related to the battery pack through a data acquisition unit.

[0138] In step (620), the battery management system (420) can determine, through the controller, whether regenerative braking of the vehicle occurs based on driving data and battery data.

[0139] In step (630), the battery management system (420) can derive statistical data related to the occurrence of regenerative braking through the controller.

[0140] In step (640), the battery management system (420) can predict the degree of degradation of the battery pack based on statistical data through the controller.

[0141] According to some embodiments, the battery management method (600) may be implemented in the form of a computer program stored on a computer-readable storage medium. That is, the computer program may include instructions for implementing the battery management method (600), and the program instructions may be stored on the computer-readable storage medium. The computer program may include a mobile application.

[0142] For example, a computer-readable storage medium may include magnetic media such as a hard disk, a floppy disk, and a magnetic tape, optical media such as a CD-ROM or a DVD, magneto-optical media such as a floptical disk, and hardware devices specially configured to store and execute computer program instructions, such as ROM, RAM, flash memory, and the like. The computer program instructions may include machine language code generated by a compiler and high-level language code that can be executed by a computer using an interpreter, etc.

[0143] FIG. 7 is a diagram illustrating components and functions of a computing system according to some embodiments disclosed in this document.

[0144] Referring to FIG. 7, the computing system (300) may include an interface circuit (310) and at least one processor (320). However, the present invention is not limited thereto, and some components may be omitted from the computing system (300) or other general-purpose components may be added to the computing system (300).

[0145] According to some embodiments, at least one processor (320) may determine a regenerative braking level and a driving strategy of the vehicle (10) based on battery data measured from the battery pack (410), and control driving of the vehicle (10) based on the regenerative braking level and the driving strategy. According to some embodiments, the functions and / or operations performed by at least one processor (320) below may be interpreted as being performed by the computing system (300) in the vehicle (10).

[0146] At least one processor (320) may be configured to obtain battery data related to a battery (400) of a vehicle (10). A battery management system (420) of the battery (400) may measure battery data from a battery pack (410) and provide the battery data to the computing system (300). According to some embodiments, the battery data may include voltage data, current data, temperature data, state of charge (SOC) data, state of health (SOH) data, and combinations thereof, and may further include cumulative charge current, cumulative discharge current, cumulative charge power, cumulative discharge power, insulation resistance, relay status, and the like.

[0147] At least one processor (320) may be configured to determine a regenerative braking level of the vehicle (10) based on battery data. The regenerative braking level may refer to a stage at which regenerative braking of the vehicle (10) is performed, and a higher regenerative braking level may increase the braking power of the vehicle (10) and the charge amount of the battery (400). According to some embodiments, the regenerative braking level may include three levels, such as 1 to 3, A to C, etc. In other embodiments, the regenerative braking level may include five levels, eight levels, ten levels, or any other number of levels, and in some examples, the regenerative braking level may be set to a continuous value instead of a discrete value.

[0148] At least one processor (320) may be configured to adjust a driving strategy of the vehicle (10) based on a regenerative braking level. The driving strategy may refer to a strategy for driving the vehicle (10) considering the braking force of a given regenerative braking level. According to some embodiments, the driving strategy of the vehicle (10) may include driving speed, driving acceleration, driving path, driving responsiveness, setting of inter-vehicle distance, speed bump passing strength, etc. For example, when the regenerative braking level is relatively low, a path having a high proportion of simple driving sections may be selected, and the inter-vehicle distance maintained by the vehicle (10) with respect to the preceding vehicle may be set to be relatively far.

[0149] At least one processor (320) may be configured to control driving of the vehicle (10) based on a regenerative braking level and a driving strategy. The driving system (500) may reduce the speed of the vehicle (10) with a braking force corresponding to the regenerative braking level, and may drive the vehicle (10) according to an acceleration force, a driving path, a setting of a distance between vehicles, etc. corresponding to the driving strategy. For example, when the regenerative braking level is set relatively high, a complex path requiring a large amount of braking may also be set as the driving path of the vehicle (10), and high driving responsiveness and a short distance between vehicles may be applied.

[0150] Since the regenerative braking level can be determined based on the battery data of the battery (400), if a high level of regenerative braking is unnecessary when considering the battery data, the regenerative braking level can be limited to a low level. Accordingly, deterioration of the battery (400) due to unnecessary excessive regenerative braking can be prevented.

[0151] FIG. 8 is a diagram illustrating a process for determining a regenerative braking level and adjusting a driving strategy according to some embodiments disclosed in this document.

[0152] Referring to FIG. 8, at least one processor (320) can determine a regenerative braking level (82, 85) based on an SOC level (81, 84) of a battery (400), and can determine a driving strategy (83, 86) based on the regenerative braking level (82, 85).

[0153] According to some embodiments, the battery data may include a state of charge (SOC) level (81, 84) of the battery (400), and at least one processor (320) may be configured to determine a regenerative braking level (82, 85) based on a relationship that is inversely proportional to the SOC level (81, 84). According to some embodiments, the SOC level (81, 84) may be estimated by the battery management system (420) based on voltage, current, and / or temperature measured from the battery pack (410) of the battery (400), or may be estimated by the at least one processor (320).

[0154] The regenerative braking levels (82, 85) may be determined based on a relationship that is inversely proportional to the SOC levels (81, 84). According to some embodiments, the SOC levels (81, 84) may be classified into upper / middle / lower, and the regenerative braking levels (82, 85) of A / B / C may be determined in an inversely proportional relationship with the upper / middle / lower levels. Here, the inversely proportional relationship may include, without limitation, all relationships in which the regenerative braking levels (82, 85) decrease when the SOC levels (81, 84) increase, and the regenerative braking levels (82, 85) increase when the SOC levels (81, 84) decrease. Meanwhile, the upper / middle / low SOC levels (81, 84) and the regenerative braking levels (82, 85) of A / B / C are merely examples, and other classification methods may be utilized.

[0155] According to some embodiments, the driving strategy (83, 86) may be determined in various ways based on the regenerative braking level (82, 85). First, if the battery (400) is given priority, if the regenerative braking level (82, 85) is set high, the driving strategy (83, 86) may be set in a direction that reduces the discharge amount of the battery (400). Conversely, if the driving of the vehicle (10) is given priority, if the regenerative braking level (82, 85) is set high, the driving strategy (83, 86) may be set to a sports mode, etc. that can utilize high braking power. Meanwhile, the driving strategy (83, 86) is divided into performance / normal / eco with respect to the driving performance of the vehicle (10) and the efficiency of the battery (400), but other division stages and division criteria may be utilized as long as the regenerative braking level (82, 85) is taken into consideration.

[0156] According to some embodiments, at least one processor (320) may adjust the driving strategy to leverage the increased braking force of the vehicle (10) when the regenerative braking level increases. For example, when the regenerative braking level increases, the driving speed may increase and / or the following distance may decrease as the increased braking force provides more braking force to the vehicle. Accordingly, the vehicle may brake more quickly compared to when the braking force is at a lower level. At least one processor (320) may adjust the driving strategy to reflect the reduced braking force of the vehicle (10) when the regenerative braking level decreases. This may be the case when the driving of the vehicle (10) is given priority. For example, when the regenerative braking level is set to a lower level, the driving speed may decrease and / or the following distance may increase as the reduced braking level reduces the braking force available to the vehicle. Therefore, the vehicle may be slower to brake compared to when the braking force is set to a higher level.

[0157] According to some embodiments, at least one processor (320) may be configured to adjust the driving strategy by changing at least one of the driving speed, driving path, driving responsiveness, or inter-vehicle distance setting of the vehicle (10) according to an increase or decrease in the level of regenerative braking. For example, if the driving strategy is eco, the driving speed may be reduced, the driving path may be set to a simple path requiring less braking, the driving responsiveness may be set to a low level to reduce repetition of acceleration and deceleration, and the inter-vehicle distance may be set to a long level due to low braking force.

[0158] According to some embodiments, at least one processor (320) may be configured to calculate a discharge amount of the SOC level according to the driving of the vehicle (10) and a charge amount of the SOC level according to the regenerative braking of the vehicle (10), and determine a regenerative braking level based on the discharge amount and the charge amount. Since the battery (400) repeats charging due to the deceleration of the vehicle (10) and discharging due to the acceleration of the vehicle (10), it may be necessary to consider the charge amount and the discharge amount together. According to some embodiments, the charge amount and the discharge amount of the SOC level may be calculated for a specific time period, such as 5 minutes, 3 minutes, 2 minutes, 1 minute, 30 seconds, 20 seconds, 15 seconds, 10 seconds, or 5 seconds, and the regenerative braking level may be determined based on these. For example, the regenerative braking level may be determined by comparing the ratio of the charge amount and the discharge amount for a specific time period with threshold ratios.

[0159] According to some embodiments, at least one processor (320) may be configured to calculate a predicted discharge amount and a predicted charge amount of the SOC level after a preset time has elapsed based on the discharge amount and the charge amount, determine a next level of the regenerative braking level based on the predicted discharge amount and the predicted charge amount, and maintain the next level until the preset time has elapsed. For example, the charge amount and the discharge amount for a specific time period such as 5 minutes, 3 minutes, 2 minutes, 1 minute, 30 seconds, etc. may be calculated, and the predicted discharge amount and the predicted charge amount of the SOC level after the preset time period has elapsed may be calculated based on the calculated amount. According to some embodiments, the preset time period may be 5 minutes, 3 minutes, 2 minutes, 1 minute, 30 seconds, 20 seconds, 15 seconds, 10 seconds, 5 seconds, etc. For example, the predicted discharge amount after the preset time period of 5 minutes has elapsed may be set equal to the discharge amount for a specific time period of 5 minutes. According to some embodiments, when calculating the predicted discharge amount and predicted charge amount, the GPS location and navigation driving information of the vehicle (10) may be additionally taken into consideration.

[0160] The next level of the regenerative braking level can be determined based on the predicted discharge amount and predicted charge amount. The next level can be set to be equal to, greater than, or less than the current regenerative braking level. For example, if the predicted discharge amount is predicted to be greater than the current discharge amount and the predicted charge amount is predicted to be less than the current charge amount, the next level can be set to be higher than the current regenerative braking level to offset the decrease in the SOC level of the battery (400). Once the next level is set, the set level can be maintained for a preset period of time.

[0161] According to some embodiments, the predicted discharge amount and the predicted charge amount may be predicted based on a SOC level prediction model. The SOC level prediction model may be an AI model that is trained and updated through various machine learning techniques based on a neural network structure, and model parameters may be updated by comparing the predicted discharge amount and the predicted charge amount with the actually measured discharge amount and charge amount. According to some embodiments, the SOC level prediction model may be managed by an energy management server (40) instead of at least one processor (320).

[0162] FIG. 9 is a diagram illustrating a process of adjusting only the driving strategy while maintaining the regenerative braking level according to some embodiments disclosed in this document.

[0163] Referring to FIG. 9, at least one processor (320) can adjust only the driving strategy, as in driving strategy adjustment (930), without changing the regenerative braking level, as in maintaining the regenerative braking level (920), even if there is a change in the SOC level (910). In this way, setting the regenerative braking level too high can be prevented, thereby reducing degradation of the battery (400) due to regenerative braking.

[0164] According to some embodiments, at least one processor (320) may be configured to maintain a constant regenerative braking level in response to changes in battery data and adjust the driving strategy to account for differences in battery charge due to the maintenance of the regenerative braking level. For example, even if battery data fluctuates, such as in the SOC level fluctuation (910), the regenerative braking level may be maintained, and only the driving strategy may be adjusted. In this manner, changes in the regenerative braking level may be prevented from affecting the lifespan of the battery (400).

[0165] According to some embodiments, at least one processor (320) may be configured to determine whether an increase in the regenerative braking level is required in the next cycle based on a change in battery data in the current cycle, and if an increase is determined to be required, determine the regenerative braking level in the next cycle to be the same as in the current cycle, and adjust the driving strategy in the next cycle to reflect the amount of battery charge reduction due to maintaining the regenerative braking level.

[0166] According to some embodiments, the current cycle and the next cycle may have values ​​such as 1 second, 3 seconds, 5 seconds, 10 seconds, 15 seconds, 20 seconds, 30 seconds, 1 minute, 2 minutes, 3 minutes, 5 minutes, 10 minutes, etc. Depending on the battery data that changes in the current cycle, an increase in the regenerative braking level may or may not be necessary. For example, if the output voltage, output current, and SOC level of the battery (400) decrease in the current cycle, it may be determined that an increase in the regenerative braking level is necessary. Even if an increase in the regenerative braking level is necessary, the regenerative braking level in the next cycle may be the same as the regenerative braking level in the current cycle. Since the regenerative braking level is not increased, the battery charge amount may decrease, and the driving strategy in the next cycle may be adjusted to compensate for the decrease in the battery charge amount. For example, to compensate for the decrease in battery charge, driving responsiveness may be reduced, the distance between vehicles may be increased, and the driving route may be changed to one with a high constant speed ratio. In this way, an increase in the level of regenerative braking may be prevented, thereby reducing battery (400) degradation due to regenerative braking.

[0167] FIG. 10 is a diagram illustrating steps constituting a method of operating a computing system according to some embodiments disclosed in this document.

[0168] Referring to FIG. 10, the operating method (1000) of the computing system (300) may include steps (1010) to (1040). However, the present invention is not limited thereto, and some steps may be omitted or general steps may be added, and the steps of the operating method (1000) may be executed in a different order than the illustrated order.

[0169] Steps (1010) to (1040) of the operating method (1000) of the computing system (300) may be performed by the computing system (300) of the vehicle (10). According to some embodiments, the operating method (1000) may be composed of steps that are processed in a time-series manner in the computing system (300). Therefore, even if the content is omitted below, the content described above for the computing system (300) may be equally applied to the operating method (1000).

[0170] In step (1010), the computing system (300) can obtain battery data related to the vehicle's battery.

[0171] At step (1020), the computing system (300) can determine the regenerative braking level of the vehicle based on battery data.

[0172] At step (1030), the computing system (300) can adjust the driving strategy of the vehicle based on the regenerative braking level.

[0173] At step (1040), the computing system (300) can control driving of the vehicle based on the regenerative braking level and driving strategy.

[0174] According to some embodiments, the operating method (1000) of the computing system (300) may be implemented in the form of a computer program stored on a computer-readable storage medium. That is, the computer program may include instructions for implementing the operating method (1000), and the instructions of the program may be stored on the computer-readable storage medium. The computer program may include a mobile application.

[0175] For example, a computer-readable storage medium may include magnetic media such as a hard disk, a floppy disk, and a magnetic tape, optical media such as a CD-ROM or a DVD, magneto-optical media such as a floptical disk, and hardware devices specially configured to store and execute computer program instructions, such as ROM, RAM, flash memory, and the like. The computer program instructions may include machine language code generated by a compiler and high-level language code that can be executed by a computer using an interpreter, etc.

[0176] The terms "include," "comprise," or "have" described above, unless otherwise specifically stated, imply the inclusion of the corresponding component, and should be construed to include other components rather than to exclude them. All terms, including technical or scientific terms, have the same meaning as commonly understood by a person of ordinary skill in the art to which the embodiments disclosed herein pertain, unless otherwise defined.

[0177] The above description is merely an illustrative description of the technical idea disclosed in this document, and those skilled in the art to which the embodiments disclosed in this document pertain may make various modifications and variations without departing from the essential characteristics of the embodiments disclosed in this document. Therefore, the embodiments disclosed in this document are not intended to limit the technical idea of ​​the embodiments disclosed in this document, but to explain it, and the scope of the technical idea disclosed in this document is not limited by these embodiments. The protection scope of the technical idea disclosed in this document should be interpreted by the claims below, and all technical ideas within a scope equivalent thereto should be interpreted as being included in the scope of rights of this document.

[0178] [Explanation of symbols]

[0179] 1: Vehicle Management System 10: Vehicle

[0180] 20: Network 30: Autonomous Driving Management Server

[0181] 40: Energy Management Server 100: Communication Module

[0182] 200: Sensor module 300: Computing system

[0183] 310: Interface circuit 320: At least one processor

[0184] 400: Battery 410: Battery Pack

[0185] 420: Battery management system 500: Drive system

Claims

1. Receive battery data related to the vehicle's battery, Determine the regenerative braking level of the vehicle based on the battery data, Adjusting the driving strategy of the vehicle based on the regenerative braking level; A computing system comprising at least one processor configured to control driving of the vehicle based on the driving strategy.

2. In paragraph 1, The above battery data includes the state of charge (SOC) level of the battery, A computing system wherein said at least one processor is further configured to determine said regenerative braking level based on a relationship inversely proportional to said SOC level.

3. In paragraph 2, The at least one processor is further configured to calculate a discharge amount of the SOC level based on driving of the vehicle and a charge amount of the SOC level based on regenerative braking of the vehicle, A computing system wherein the regenerative braking level is determined based on the discharge amount and the charge amount.

4. In paragraph 3, At least one processor, Calculating the predicted discharge amount and predicted charge amount of the SOC level after the preset time has elapsed - calculating the predicted discharge amount and the predicted charge amount is based on the discharge amount and the charge amount -, A computing system further configured to determine a next level of the regenerative braking level based on the predicted discharge amount and the predicted charge amount.

5. In paragraph 1, A computing system wherein adjusting the driving strategy of the vehicle based on the regenerative braking level includes adjusting one or more of a driving speed, a driving path, a driving responsiveness, or a distance setting of the vehicle.

6. In paragraph 5, A computing system wherein adjusting the driving strategy of the vehicle based on the regenerative braking level comprises increasing the driving speed of the vehicle and / or decreasing the inter-vehicle distance setting as the regenerative braking level increases.

7. In paragraph 5, A computing system wherein adjusting the driving strategy of the vehicle based on the regenerative braking level comprises increasing the driving responsiveness and / or setting the driving route to a route that requires more braking by the vehicle as the regenerative braking level increases.

8. In paragraph 5, A computing system wherein adjusting the driving strategy of the vehicle based on the regenerative braking level comprises reducing the driving speed of the vehicle and / or increasing the inter-vehicle distance setting when the regenerative braking level decreases.

9. In paragraph 5, A computing system according to which adjusting the driving strategy of the vehicle based on the regenerative braking level comprises reducing the driving responsiveness to reduce acceleration and / or braking events when the regenerative braking level decreases, and / or setting the driving path to a path that requires less braking by the vehicle.

10. In paragraph 1, At least one processor, Maintaining the regenerative braking level the same in response to fluctuations in the above battery data, A computing system further configured to adjust the driving strategy based on a difference in battery charge resulting from maintaining the regenerative braking level.

11. In paragraph 10, At least one processor, Based on the fluctuation of the battery data in the current cycle, it is determined whether an increase in the regenerative braking level is required in the next cycle, If it is determined that the above increase is necessary, the regenerative braking level in the next cycle is determined in the same manner as in the current cycle, A computing system further configured to adjust the driving strategy in the next cycle to reflect the decrease in the battery charge due to maintaining the regenerative braking level.

12. Battery; and A vehicle comprising the computing system of claim 1.

13. A step of receiving battery data related to a battery of a vehicle by one or more processors; A step of determining a regenerative braking level of the vehicle based on the battery data by the one or more processors; a step of adjusting a driving strategy of the vehicle based on the regenerative braking level by the one or more processors; and A vehicle control method, comprising a step of controlling driving of the vehicle based on the driving strategy by the one or more processors.

14. In paragraph 13, The above battery data includes the state of charge (SOC) level of the battery, A vehicle control method, wherein the step of determining the regenerative braking level includes a step of determining the regenerative braking level based on a relationship inversely proportional to the SOC level.

15. In paragraph 14, The step of determining the above regenerative braking level is: Comprising a step of calculating the discharge amount of the SOC level based on the driving of the vehicle and the charge amount of the SOC level based on the regenerative braking of the vehicle, A vehicle control method, wherein the regenerative braking level is determined based on the discharge amount and the charge amount.

16. In paragraph 13, The step of determining the regenerative braking level includes a step of maintaining the regenerative braking level the same in response to a change in the battery data, A vehicle control method, wherein the step of adjusting the driving strategy includes a step of adjusting the driving strategy in consideration of a difference in battery charge amount due to maintenance of the regenerative braking level.

17. In paragraph 13, A vehicle control method, wherein the step of adjusting the driving strategy of the vehicle based on the regenerative braking level includes the step of adjusting one or more of a driving speed, a driving path, a driving responsiveness, or an inter-vehicle distance setting of the vehicle.

18. In paragraph 17, A vehicle control method, wherein the step of adjusting the driving strategy of the vehicle based on the regenerative braking level comprises the step of increasing the driving speed of the vehicle, the step of decreasing the inter-vehicle distance setting, the step of increasing the driving responsiveness, and / or the step of setting the driving path to a path that requires more braking by the vehicle when the regenerative braking level increases.

19. In paragraph 17, A vehicle control method, wherein the step of adjusting the driving strategy of the vehicle based on the regenerative braking level comprises the steps of: reducing the driving speed of the vehicle when the regenerative braking level decreases; increasing the inter-vehicle distance setting; reducing the driving responsiveness to reduce acceleration and / or braking events; and / or setting the driving path to a path requiring less braking by the vehicle.

20. In a non-transitory computer-readable medium storing commands, The above instructions, when executed by at least one processor, cause the at least one processor to: An action to obtain battery data related to the vehicle's battery; An operation of determining a regenerative braking level of the vehicle based on the battery data; An operation for adjusting the driving strategy of the vehicle based on the regenerative braking level; and A non-transitory computer-readable medium that causes an operation to be performed to control the driving of the vehicle based on the driving strategy.

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