Device and method for providing driving guide

Abstract

A device for providing a driving guide according to an embodiment of the present invention comprises: a data acquisition unit configured to acquire driving data of an electric device for a prescribed period; and a control unit. The control unit is configured to: classify the driving data according to a plurality of preset driving states to determine one or more driving sessions; determine, among a plurality of preset diagnosis items, a corresponding diagnosis item in each of the one or more driving sessions; determine a feature value for the determined diagnosis item; and calculate a diagnosis score for each of the driving sessions on the basis of one or more feature values determined for each diagnosis item.

Description

Driving guide providing device and method

[0001] This application is a priority claim application for Korean Patent Application No. 10-2024-0186418 filed on December 13, 2024, and all contents disclosed in the specification and drawings of said application are incorporated into this application by reference.

[0002] The present invention relates to a driving guide providing device and method that provides a customized driving guide based on driving data of an electric device.

[0003] Conventional electric vehicle technologies remain at the level of collecting basic driving data and providing simple statistical information. This information is merely a simple record of driving distance, average energy efficiency, and accumulated charge level. Functions for quantitatively analyzing driving behavior or evaluating comprehensive driving patterns, including charging and parking situations, are currently insufficient.

[0004] The information provided by existing systems is generally uniform. It is limited to general guidance or simple safety rules that do not take into account the individual driver's driving environment or habits. For example, typical methods include evaluating driving habits based solely on the number of sudden accelerations or brakings, or recommending the same optimal charging rate to all users.

[0005] Such a uniform method of providing information leads to various problems. Drivers find it difficult to specifically identify their inefficient driving and charging habits, and struggle to gain the motivation to improve. As a result, inefficient driving patterns lead to reduced fuel efficiency, while improper charging methods cause a shortened battery life and increased long-term maintenance costs. Furthermore, issues such as unnecessary standby power consumption while parked and the problem of charging station occupancy are not easily resolved.

[0006] Therefore, it is necessary to calculate personalized scores based on complex driving data, such as driving, parking, and charging, and to provide drivers with specific improvement guides optimized for their current driving conditions. Such technology can maximize the energy efficiency of electric vehicles, enhance operational economy, and improve the value and satisfaction associated with electric vehicles.

[0007] The present invention is devised to solve the above-mentioned problems and aims to provide a driving guide providing device and method capable of calculating and providing a driving score based on driving data and providing a customized driving guide.

[0008] Other objects and advantages of the present invention may be understood from the following description and will become more clearly apparent from the embodiments of the present invention. Furthermore, it will be readily apparent that the objects and advantages of the present invention can be realized by the means and combinations thereof set forth in the claims.

[0009] A driving guide providing device according to one aspect of the present invention may include: a data acquisition unit configured to acquire driving data of an electric device for a predetermined period; and a control unit configured to classify the driving data according to a plurality of pre-set driving states to determine one or more driving sessions, determine a diagnostic item corresponding to each of the one or more driving sessions among a plurality of pre-set diagnostic items, determine a feature value for the determined diagnostic item, and calculate a diagnostic score for each of the driving sessions based on one or more feature values ​​determined for each diagnostic item.

[0010] The control unit may be configured to determine one or more corresponding diagnostic items among the plurality of diagnostic items for each of the plurality of operating states, and to calculate an operating state score for each of the plurality of operating states during the predetermined period by synthesizing the diagnostic scores calculated for the determined one or more diagnostic items.

[0011] The above control unit may be configured to calculate a comprehensive score for the above predetermined period by synthesizing the diagnostic scores calculated based on the above operation data.

[0012] The control unit may be configured to separate the driving data at each preset diagnostic period and to calculate the diagnostic score for the diagnostic item at each diagnostic period based on each separated driving data.

[0013] The control unit may be configured to select a guide item corresponding to the diagnosis period from among a plurality of preset guide items, and to generate guide information for the selected guide item based on the diagnosis score for the diagnosis item.

[0014] The above guide items may be set differently for each diagnosis period.

[0015] The above data acquisition unit may be configured to acquire multiple operation data for the electric device acquired over multiple periods.

[0016] The control unit may be configured to generate a profile of the operation history of the electric device based on the diagnostic score calculated for the plurality of operation data.

[0017] The above plurality of operating states can be pre-set to include a charging state, a driving state, and a parking state.

[0018] The above diagnostic items may be set differently for each of the above operating conditions.

[0019] A vehicle according to another aspect of the present invention may include a driving guide providing device according to one aspect of the present invention.

[0020] A server according to another aspect of the present invention may include a driving guide providing device according to one aspect of the present invention.

[0021] A method for providing a driving guide according to another aspect of the present invention may include: a driving data acquisition step for acquiring driving data of an electric device for a predetermined period; a driving session determination step for classifying the driving data according to a plurality of pre-set driving states to determine one or more driving sessions; a diagnostic item determination step for determining a diagnostic item corresponding to each of the one or more driving sessions among a plurality of pre-set diagnostic items; a feature value determination step for determining a feature value for the determined diagnostic item; and a diagnostic score calculation step for calculating a diagnostic score for each of the driving sessions based on one or more feature values ​​determined for each diagnostic item.

[0022] A computer-readable recording medium according to another aspect of the present invention may store a program for executing a driving guide provision method.

[0023] According to one aspect of the present invention, a driver's driving pattern can be quantitatively analyzed based on driving data. For example, a driving score and an improvement guide may be provided. Accordingly, effects such as improved fuel efficiency, extended battery life, and increased driving efficiency can be expected based on the provided guide information.

[0024] The effects of the present invention are not limited to those mentioned above, and other unmentioned effects will be clearly understood by those skilled in the art from the description in the claims.

[0025] The following drawings attached to this specification serve to further enhance understanding of the technical concept of the invention in conjunction with the detailed description of the invention set forth below; therefore, the invention should not be interpreted as being limited only to the matters described in such drawings.

[0026] FIG. 1 is a schematic diagram illustrating a driving guide providing device according to one embodiment of the present invention.

[0027] FIG. 2 is a diagram schematically illustrating operation data according to one embodiment of the present invention.

[0028] FIG. 3 is a schematic diagram illustrating the types of scores calculated from a driving guide providing device according to one embodiment of the present invention.

[0029] FIG. 4 is a schematic diagram illustrating the profile of the operation history of an electric device according to one embodiment of the present invention.

[0030] FIG. 5 is a schematic diagram illustrating an automobile according to another embodiment of the present invention.

[0031] FIG. 6 is a schematic diagram illustrating a server according to another embodiment of the present invention.

[0032] FIG. 7 is a schematic diagram illustrating a method for providing a driving guide according to another embodiment of the present invention.

[0033] Terms and words used in this specification and claims should not be interpreted as being limited to their ordinary or dictionary meanings, but should be interpreted in a meaning and concept consistent with the technical spirit of the invention, based on the principle that the inventor can appropriately define the concept of the terms to best describe his invention.

[0034] Therefore, the embodiments described in this specification and the configurations illustrated in the drawings are merely the most preferred embodiments of the present invention and do not represent all of the technical ideas of the present invention; thus, it should be understood that various equivalents and modifications that can replace them may exist at the time of filing this application.

[0035] In addition, in describing the present invention, if it is determined that a detailed description of related known components or functions may obscure the essence of the invention, such detailed description is omitted.

[0036] Throughout the specification, when a part is described as "including" a certain component, this means that, unless specifically stated otherwise, it does not exclude other components but may include additional components.

[0037] Additionally, throughout the specification, when it is said that a part is "connected" to another part, this includes not only cases where they are "directly connected," but also cases where they are "indirectly connected" with other components in between.

[0038]

[0039] Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the attached drawings.

[0040] FIG. 1 is a schematic diagram illustrating a driving guide providing device (100) according to one embodiment of the present invention.

[0041] Referring to FIG. 1, the driving guide providing device (100) may include a data acquisition unit (110) and a control unit (120).

[0042] The data acquisition unit (110) may be configured to acquire operation data of the electric device for a predetermined period.

[0043] Specifically, the data acquisition unit (110) may be configured to acquire driving data, parking data, and charging data of the electric device for a predetermined period.

[0044] For example, driving data is data acquired while the electric device is in operation, and may include driving operation information, speed information, energy usage information, driving route information, and battery driving information.

[0045] Driving operation information may include information regarding the intensity and degree of pedal operation required for driving, such as the degree of acceleration and deceleration, the number of rapid accelerations and rapid decelerations.

[0046] Speed ​​information may include information regarding the movement speed of the electric device, such as changes in driving speed over time, average driving speed, maximum speed, etc.

[0047] Energy usage information may include information regarding the real-time consumption and recovery of battery power during driving, such as power consumption and regenerative braking generation.

[0048] Driving route information may include information regarding the driving distance, driving time, and surrounding environmental conditions of the electric device, such as total driving distance, driving time, driving road type, and external temperature.

[0049] Battery driving information may include battery status information that appears during driving, such as the State of Charge (SOC) at the start of driving, the SOC at the end of driving, the remaining SOC amount per driving time, and the rate of change of SOC per driving time.

[0050] For example, parking data may include parking information, environmental information, and battery parking information.

[0051] Parking information may include status information regarding the parking situation, such as parking time and power consumption during parking.

[0052] Environmental information may include environmental information regarding parking conditions, such as external temperature, external humidity, internal temperature, internal humidity, and battery ambient temperature during parking.

[0053] Battery parking information may include battery status information that appears during parking, such as the amount of change in SOC and self-discharge of the battery while parked.

[0054] For example, charging data may include charging history information and battery charging information.

[0055] Charging history information may include information regarding charging conditions and charging history, such as charging time, number of charges, charging time, charging type (slow or fast), charging C-RATE, and charging power (kWh).

[0056] Battery charging information may include battery state information that appears during the charging process, such as the charging start SOC, charging end SOC, and the rate of change of SOC per hour.

[0057] Although examples of driving data that can be acquired during a predetermined period have been described above, the types of information included in the driving data are not limited to the examples described above. That is, any data that can be acquired during the parking, charging, and driving processes is included in the driving data and can be acquired by the data acquisition unit (110).

[0058] For example, assume that the predetermined period is one month and the electric device is an electric vehicle. The data acquisition unit (110) may be configured to acquire driving data regarding the driving, charging, and parking status of the electric vehicle for one month.

[0059] Specifically, the data acquisition unit (110) can be connected via wired and / or wirelessly to communicate with the electronic control unit (ECU) and battery management system (BMS) embedded in the electric vehicle. Additionally, the data acquisition unit (110) can acquire data related to the operation of the electric vehicle from the electronic control unit and acquire data related to the battery from the battery management system.

[0060] Additionally, the data acquisition unit (110) may be connected via wired and / or wireless means to communicate with the control unit (120). For example, the data acquisition unit (110) may transmit driving data containing data acquired from the ECU and / or BMS to the control unit (120).

[0061] The control unit (120) may be configured to classify operation data according to a plurality of preset operation states to determine one or more operation sessions.

[0062] For example, multiple operating states may be pre-configured to include a charging state, a driving state, and a parking state. However, the charging state, driving state, and parking state are merely representative operating states for the electric device, and the multiple operating states are not limited to including only these three states. In other words, it should be noted that any state item that can be distinguished during the operation of the electric device may be included in the multiple operating states. For the sake of convenience of explanation, the following description limits the scope to the inclusion of the charging state, driving state, and parking state in the multiple operating states.

[0063] For example, multiple operating states can be classified into a charging state, a driving state, and a parking state depending on information from a gear lever equipped in an electric device, speed information and charge / discharge information of the electric device, etc.

[0064] Since the driving data includes charging data, driving data, and parking data, the control unit (120) can classify the driving data to determine a charging session, a driving session, and a parking session. The charging session may include charging data, the driving session may include driving data, and the parking session may include parking data.

[0065] Specifically, each piece of data can be determined as a session. For example, if the driving data includes multiple charging data, each of the multiple charging data can be determined as a charging session. That is, multiple charging sessions can be determined.

[0066] For example, assume that driving data includes driving information of an electric vehicle for one month. During one month, charging information of the electric vehicle can be classified as charging data, driving information of the electric vehicle can be classified as driving data, and parking information of the electric vehicle can be classified as parking data. Each charging data can be determined as a charging session, each driving data can be determined as a driving session, and each parking data can be determined as a parking session.

[0067] FIG. 2 is a diagram schematically illustrating operation data according to one embodiment of the present invention.

[0068] In the embodiment of FIG. 2, a plurality of operating states may be classified into a charging state, a driving state, and a parking state. The control unit (120) may determine the first to nth charging session, the first to mth driving session, and the first to kth parking session from the operating data. Here, n, m, and k are natural numbers greater than or equal to 1.

[0069] The control unit (120) may be configured to determine a corresponding diagnostic item in each of one or more driving sessions from among a plurality of preset diagnostic items.

[0070] Here, the diagnostic item is a preset item for checking the status of the electrical device and the status of the components included in the electrical device (e.g., battery, etc.).

[0071] Specifically, the control unit (120) may be configured to determine one or more corresponding diagnostic items among a plurality of diagnostic items for each of a plurality of operating states. Diagnostic items corresponding to each operating state may be pre-set.

[0072] For example, the plurality of diagnostic items may include a diagnostic item corresponding to the charging state, a diagnostic item corresponding to the driving state, and a diagnostic item corresponding to the parking state. Preferably, the diagnostic items may be set differently for each driving state. Accordingly, the control unit (120) can determine a diagnostic item corresponding to each of the charging session, driving session, and parking session from the plurality of diagnostic items.

[0073] Assume that p diagnostic items are pre-set. The diagnostic items include q diagnostic items corresponding to the charging state, r diagnostic items corresponding to the driving state, and s diagnostic items corresponding to the parking state. Here, p is a value greater than or equal to 2, and q, r, and s are values ​​greater than or equal to 0. Preferably, p is equal to the sum of q, r, and s.

[0074] In the embodiment of FIG. 2, q diagnostic items may be determined for the charging state, r diagnostic items for the driving state, and s diagnostic items for the parking state. For each of the first to nth charging sessions, q diagnostic items corresponding to the charging state may be applied. For each of the first to mth driving sessions, r diagnostic items corresponding to the driving state may be applied. For each of the first to kth parking sessions, s diagnostic items corresponding to the parking state may be applied.

[0075] For example, diagnostic items corresponding to the charging status may include the charging start SOC, charging end SOC, charging cycle, rest time after charging, fast charging status, charging maximum temperature, and charging minimum temperature. The charging start SOC is the SOC at which charging has started, the charging end SOC is the SOC at which charging has ended, and the rest time after charging refers to the rest time from the end of charging until discharge. Fast charging status indicates whether fast charging has proceeded by comparing the charging maximum C-rate with the reference C-rate; for example, it may be set to a value of 1 if it is fast charging and to a value of 0 if it is slow charging. The charging maximum temperature refers to the maximum temperature during charging, and the charging minimum temperature refers to the minimum temperature during charging.

[0076] For example, diagnostic items corresponding to the driving state may include average speed, maximum speed, average acceleration, average deceleration, and driving distance. Average speed refers to the average of the speed during the driving process, and maximum speed refers to the maximum value of the speed during the driving process. Average acceleration refers to the average of the acceleration during the driving process, and average deceleration refers to the average of the deceleration during the driving process. Driving distance refers to the driving distance of a single trip.

[0077] For example, diagnostic items corresponding to the parking status may include the parking start SOC, SOC reduction amount, parking maximum temperature, and parking minimum temperature. The parking start SOC refers to the SOC at the start of parking. The SOC reduction amount refers to the decrease in SOC during the parking period and can be calculated as the difference between the SOC at the start of parking and the SOC at the end of parking. The parking maximum temperature refers to the maximum temperature during parking, and the parking minimum temperature refers to the minimum temperature during parking.

[0078] The control unit (120) may be configured to determine a characteristic value for a determined diagnostic item.

[0079] Specifically, a method for determining or calculating a feature value for each of a plurality of diagnostic items can be pre-set. For example, among the diagnostic items regarding the driving state, an item regarding average speed may be included. The control unit (120) can calculate the average speed for each driving session in order to calculate the feature value.

[0080] In the embodiment of FIG. 2, feature values ​​for q diagnostic items are determined in each of the first to n charging sessions, and the number of feature values ​​determined to correspond to the charging state may be q × n. In each of the first to m driving sessions, feature values ​​for r diagnostic items are determined, and the number of feature values ​​determined to correspond to the driving state may be r × m. In each of the first to k parking sessions, feature values ​​for s diagnostic items are determined, and the number of feature values ​​determined to correspond to the parking state may be s × k.

[0081] The control unit (120) may be configured to calculate a diagnostic score for each driving session based on one or more feature values ​​determined for each diagnostic item.

[0082] For example, the control unit (120) can determine a feature value for each of the diagnostic items pre-set to correspond to a plurality of charging sessions for each charging session. If there are q diagnostic items pre-set for n charging sessions, a feature value can be determined for each of the q diagnostic items for each of the n charging sessions. That is, n feature values ​​are determined for each diagnostic item, and a total of n × q feature values ​​can be determined.

[0083] Additionally, the control unit (120) can calculate a score for each diagnostic item for each charging session based on the characteristic values ​​determined for each diagnostic item. n characteristic values ​​can be determined for each diagnostic item. The control unit (120) can calculate a score for each diagnostic item for each charging session based on the n characteristic values ​​for each diagnostic item.

[0084] In addition, the control unit (120) can calculate a diagnostic score for a corresponding charging session by combining the scores calculated for each charging session. Q scores may be calculated for each charging session. The control unit (120) can calculate a diagnostic score for a corresponding charging session based on the q scores calculated for each charging session. For example, the control unit (120) can calculate a diagnostic score for a corresponding charging session by weighting and summing the calculated q scores.

[0085] For example, quantitative evaluation criteria for calculating a diagnostic score for each diagnostic item may be pre-set. That is, the control unit (120) can calculate a score for each diagnostic item of each charging session by considering the corresponding evaluation criteria. Furthermore, the control unit (120) can calculate the diagnostic score for each charging session by weighted summing one or more scores calculated for each charging session. That is, the diagnostic score refers to the total score for each driving session. Here, the scores for different diagnostic items can be adjusted to the same scale value through normalization or the like and then summed, thereby allowing the diagnostic score to be calculated for each driving session.

[0086] FIG. 3 is a schematic diagram illustrating the types of scores calculated from a driving guide providing device (100) according to one embodiment of the present invention.

[0087] In the embodiment of FIG. 3, the diagnostic scores calculated for each of the first to nth charging sessions are c1 to cn, respectively. The diagnostic scores calculated for each of the first to mth driving sessions are d1 to dm, respectively. The diagnostic scores calculated for each of the first to kth parking sessions are p1 to pk, respectively.

[0088] Here, taking the first charging session as an example, a score is calculated for each of the plurality of diagnostic items (diagnostic items corresponding to the charging status) corresponding to the first charging session, and a diagnostic score (c1) for the first charging session can be determined based on the calculated plurality of scores. Diagnostic scores for the remaining charging sessions, driving sessions, and parking sessions can also be determined in a similar manner.

[0089] A driving guide providing device (100) according to one embodiment of the present invention can calculate a diagnostic score by considering various diagnostic items for each driving session and provide it to the user. Accordingly, the user can clearly recognize the driving characteristics for each driving session by checking a detailed score regarding their driving habits. Through this, the user can improve inefficient driving patterns and enhance the energy usage efficiency of electrical devices based on the detailed diagnostic scores provided for each driving session. In other words, the driving guide providing device (100) can contribute to simultaneously correcting the user's driving habits and increasing the overall energy management efficiency of the vehicle.

[0090]

[0091] Meanwhile, the data acquisition unit (110) and / or control unit (120) provided in the driving guide providing device (100) may optionally include a processor, an ASIC (application-specific integrated circuit), other chipsets, logic circuits, registers, communication modems, data processing devices, etc., known in the art, to execute various control logics performed in the present invention. Additionally, when the control logic is implemented in software, the data acquisition unit (110) and / or control unit (120) may be implemented as a set of program modules. In this case, the program modules may be stored in memory and executed by the data acquisition unit (110) and / or control unit (120). The memory may be connected to the data acquisition unit (110) and / or control unit (120) by various well-known means.

[0092] Additionally, the driving guide providing device (100) may further include a storage unit (130). The storage unit (130) may store data or programs necessary for each component of the driving guide providing device (100) to perform operations and functions, or data generated during the process of performing operations and functions. The storage unit (130) is not subject to any special restrictions on its type as long as it is a known information storage means known to be capable of recording, erasing, updating, and reading data. As an example, the information storage means may include RAM (Random access memory), flash memory, ROM (Read-only memory), EEPROM (Electrically erasable programmable read-only memory), registers, etc. Additionally, the storage unit (130) may store program codes that define processes executable by each component of the driving guide providing device (100).

[0093] For example, the storage unit (130) can store the driving data acquired by the data acquisition unit (110). The control unit (120) may receive driving data from the data acquisition unit (110) and may access the storage unit (130) to acquire the stored driving data.

[0094]

[0095] The control unit (120) may be configured to calculate a driving state score for each of a plurality of driving states for a predetermined period by combining the diagnostic scores calculated for one or more determined diagnostic items.

[0096] If there are multiple driving sessions corresponding to a single driving state, a diagnostic score can be calculated for each driving session. The control unit (120) can calculate a driving state score for the corresponding driving state by combining multiple diagnostic scores corresponding to the driving state.

[0097] For example, the operating status score for the operating status is a composite score of multiple diagnostic scores, and can be calculated as the sum of multiple diagnostic scores, an average score, or a weighted sum score.

[0098] In the embodiment of FIG. 3, since there are n charging sessions for the charging state, n diagnostic scores (c1 to cn) can be calculated. The control unit (120) can calculate an operating state score (CS) for the charging state by combining the n diagnostic scores (c1 to cn).

[0099] According to the driving guide providing device (100), detailed scores are provided for each driving session, and driving status scores can also be provided for each classified driving status. Since the user can receive quantitatively evaluated scores for each driving status, they can intuitively identify areas in their driving habits that need improvement. In other words, the user can gradually optimize their driving habits by checking the improved scores through repeated driving, which can consequently lead to technical effects such as reducing energy consumption and extending the lifespan of electrical devices.

[0100]

[0101] The control unit (120) may be configured to calculate a comprehensive score for a predetermined period by synthesizing the diagnostic scores calculated based on the operation data.

[0102] Specifically, the control unit (120) can calculate a driving state score for each driving state and combine the calculated multiple driving state scores to calculate a comprehensive score for driving data over a predetermined period. For example, the control unit (120) can calculate a comprehensive score by weighting and summing multiple driving state scores.

[0103] That is, the control unit (120) can calculate a score for each diagnostic item for each driving session (charging session, driving session, or parking session) and calculate a diagnostic score for each driving session by combining the calculated multiple scores. Then, the control unit (120) can calculate a driving state score for a corresponding driving state (charging state, driving state, or parking state) by combining the diagnostic scores for multiple driving sessions. Then, the control unit (120) can calculate a comprehensive score for the corresponding driving data by combining the multiple driving state scores.

[0104] Since the driving guide providing device (100) provides the user with everything from scores for each diagnostic item for the driving session to a comprehensive score for the driving data, the user can receive detailed quantitative analysis results regarding their driving habits.

[0105]

[0106] The control unit (120) can be configured to separate operation data at preset diagnostic periods.

[0107] Specifically, the control unit (120) can classify the operation data based on a preset diagnostic period before classifying the operation data into multiple operation states.

[0108] For example, the control unit (120) can classify the operation data acquired over one month into one week. Assuming that one month includes four weeks, the operation data can be classified into a total of four.

[0109] The control unit (120) may be configured to calculate a diagnostic score for a diagnostic item at each diagnostic period based on the separated driving data.

[0110] Specifically, the control unit (120) can separate each operation data for each operation session and calculate a diagnostic score for each operation session.

[0111] The driving guide providing device (100) can calculate detailed scores by classifying driving data by driving status and diagnostic items, and can also calculate detailed scores by time unit based on the diagnostic period. That is, by reflecting both the spatial characteristics (status classification) and temporal characteristics (period classification) of the driving data, the user's driving habits and driving efficiency can be evaluated multidimensionally.

[0112]

[0113] The control unit (120) may be configured to select a guide item corresponding to the diagnosis period from among a plurality of preset guide items.

[0114] In the following, the explanation assumes that the diagnosis period is pre-set to 1 day, 2 weeks, and 1 month. The guide items corresponding to 1 day, 2 weeks, and 1 month may differ from each other.

[0115] Guide items for one day may include guide items regarding charging, driving, and parking during one day. For example, guide items for one day may include charging items, rapid acceleration items, rapid deceleration items, and parking items. The rapid charging item is a guide item containing information related to charging during one day, and is an item that includes information regarding charging time, whether rapid charging occurs, the number of times, and the duration. The rapid acceleration item is a guide item containing information related to rapid acceleration during one day, and is an item that includes information regarding whether rapid acceleration occurs and the number of times. The rapid deceleration item is a guide item containing information related to rapid deceleration during one day, and is an item that includes information regarding whether rapid deceleration occurs and the number of times. The parking item is a guide item containing information related to parking during one day, and is an item that includes information regarding continuous parking time.

[0116] For example, a guide item for two weeks may include a guide item regarding charging, driving, and parking for two weeks. A guide item for one month may include a guide item regarding charging, driving, and parking for one month.

[0117] The control unit (120) may be configured to generate guide information for a selected guide item based on a diagnostic score for a diagnostic item. For example, the guide item may be set differently for each diagnostic period, so that various information may be provided to the user for each diagnostic period.

[0118]

[0119] The data acquisition unit (110) may be configured to acquire multiple operation data for an electric device acquired over multiple periods.

[0120] For example, assuming that the data acquisition unit (110) acquires operation data for the electric device every month, multiple operation data for the electric device can be acquired over several months. The stored multiple operation data can be stored in the storage unit (130).

[0121] The control unit (120) may be configured to generate a profile of the operation history of the electric device based on a diagnostic score calculated based on a plurality of operation data.

[0122] Here, the profile for the driving history is a profile representing the correspondence between the target period and the target score. The target period is a period included in multiple diagnostic periods and may be a diagnostic period set by default or a diagnostic period selected by the user. The target score may be a diagnostic score per driving session, a driving status score per driving status, or an overall score during the target period.

[0123] For example, if the target period is one month and the target score is the driving status score, the control unit (120) can generate a profile showing the history of changes in the charging status score (CS), driving status score (DS), and parking status score (PS) every month.

[0124] FIG. 4 is a schematic diagram illustrating the profile of the operation history of an electric device according to one embodiment of the present invention.

[0125] In the embodiment of FIG. 4, driving data was obtained from January to June 2024. The control unit (120) calculates monthly charging status score (CS), driving status score (DS), and parking status score (PS), and can generate a profile showing the monthly driving status score from January to June. According to the profile, it can be seen that the user's charging status score and driving status score are improving, but the parking status score is deteriorating.

[0126] Although examples of profiles regarding operating status scores for one month have been described above, it should be noted that profiles may be generated based on various combinations of diagnosis periods (e.g., one day, one week, one month) and scores (diagnosis score, operating status score, overall score).

[0127] The driving guide providing device (100) can provide the user with a profile that allows for intuitive verification of the pattern of change in scores over time by expressing the driving results according to the user's driving habits as a quantified score. Based on the provided profile, the user can objectively recognize their driving habits and efficiently modify driving patterns that require improvement. Accordingly, the driving guide providing device (100) of the present invention can provide technical effects that systematically correct the user's driving habits while simultaneously improving the energy usage efficiency and lifespan of the electrical device.

[0128]

[0129] FIG. 5 is a schematic drawing illustrating a vehicle (500) according to another embodiment of the present invention.

[0130] Referring to FIG. 5, a driving guide providing device (100) according to an embodiment of the present invention may be included in a vehicle (500), such as an electric vehicle (EV) or a hybrid vehicle (HV). The driving guide providing device (100) may be connected to communicate with an ECU (510) and a BMS (520) of the vehicle (500). The driving guide providing device (100) may obtain driving-related information from the ECU (510) and battery-related information from the BMS (520). Additionally, the driving guide providing device (100) may analyze the obtained driving data and provide the user with a score for a diagnostic period and / or a history of score changes per diagnostic period.

[0131]

[0132] FIG. 6 is a schematic diagram illustrating a server (600) according to another embodiment of the present invention.

[0133] A server (600) according to another embodiment of the present invention may include a driving guide providing device (100) according to one embodiment of the present invention.

[0134] For example, the server (600) may be connected to communicate with multiple external terminals (620) through the network (610). Here, the network (610) may include a wired network and / or a wireless network.

[0135] And, the server (600) can receive operation data from a plurality of terminals (620). Here, the plurality of terminals represent electric devices, and the server (600) can receive operation data from each terminal (620) periodically or non-periodically.

[0136] The server (600) can accumulate and store operation data for each terminal (620) and calculate a score for each terminal (620) based on the stored operation data. The server (600) can compare scores between multiple terminals (620) by diagnosis period (e.g., 1 day, 1 week, 1 month) and score items (e.g., diagnosis score, operation status score, overall score).

[0137] For example, the server (600) can relatively evaluate the driving habits of users or analyze the distribution of driving efficiency by comparing the total scores of multiple terminals (620) on a monthly basis.

[0138] Additionally, the server (600) can provide feedback on the diagnosis results to multiple terminals (620). Users may also directly access the server (600) via the internet or the like to check the diagnosis results of the server (600).

[0139] That is, the server (600) can quantitatively identify differences in driving habits among users by analyzing driving data of individual terminals in a group unit, and based on this, can derive efficient driving patterns or provide customized driving guides. Accordingly, the server (600) according to another embodiment of the present invention can provide technical effects such as data-based improvement of driving habits, energy saving, and improvement of service quality.

[0140]

[0141] FIG. 7 is a schematic diagram illustrating a method for providing a driving guide according to another embodiment of the present invention.

[0142] Referring to FIG. 7, the method for providing a driving guide may include a driving data acquisition step (S100), a driving session determination step (S200), a diagnostic item determination step (S300), a feature value determination step (S400), and a diagnostic score calculation step (S500).

[0143] Preferably, each step of the driving guide providing method can be performed by the driving guide providing device (100). Hereinafter, for convenience of explanation, content that overlaps with the previously described content is omitted or briefly explained.

[0144] The operation data acquisition step (S100) is a step of acquiring operation data of an electric device for a predetermined period, and can be performed by a data acquisition unit (110).

[0145] For example, if a predetermined period is defined as one month, operation data of the electric device for one month can be obtained.

[0146] The operation session determination step (S200) is a step of determining one or more operation sessions by classifying operation data according to a plurality of preset operation states, and can be performed by the control unit (120).

[0147] For example, multiple operating states can be pre-set to include a charging state, a driving state, and a parking state.

[0148] The control unit (120) can determine the data corresponding to the charging state among the driving data as the charging session, the data corresponding to the driving state as the driving session, and the data corresponding to the parking state as the parking session.

[0149] The diagnostic item determination step (S300) is a step of determining a corresponding diagnostic item in each of one or more driving sessions among a plurality of preset diagnostic items, and can be performed by the control unit (120).

[0150] For example, the control unit (120) may be configured to determine one or more corresponding diagnostic items among a plurality of diagnostic items for each of a plurality of operating states. Diagnostic items corresponding to each operating state may be pre-set.

[0151] The feature value determination step (S400) is a step for determining a feature value for a determined diagnostic item, and can be performed by the control unit (120).

[0152] The control unit (120) can determine a characteristic value for each diagnostic item according to a preset method. For example, a diagnostic item corresponding to a driving state may include an item regarding average speed. The control unit (120) can determine a characteristic value for the average speed item by calculating the average speed for a driving session.

[0153] The diagnostic score calculation step (S500) is a step of calculating a diagnostic score for each driving session based on one or more feature values ​​determined for each diagnostic item, and can be performed by the control unit (120).

[0154] The control unit (120) can calculate a score for each diagnostic item for each charging session based on the characteristic value determined for each diagnostic item. Then, the control unit (120) can calculate a diagnostic score for the corresponding charging session by combining the scores calculated for each charging session.

[0155]

[0156] The embodiments of the present invention described above are not limited to implementation through devices and methods, but may also be implemented through a program that realizes a function corresponding to the configuration of the embodiments of the present invention or a recording medium on which such a program is recorded. Such implementation can be easily achieved by a person skilled in the art to which the present invention pertains, based on the description of the embodiments described above.

[0157] Another embodiment of the present invention may provide a computer-readable recording medium having a program recorded thereon for executing the various embodiments described above on a computer.

[0158] A program may be implemented as hardware components, software components, and / or a combination of hardware and software components. A program may be executed by any system capable of executing computer-readable instructions.

[0159] Software may include computer programs, code, instructions, or a combination thereof, and may configure a processing unit to operate as desired or command the processing unit independently or collectively.

[0160] Software can be implemented as a computer program containing instructions stored on a computer-readable storage medium. Examples of computer-readable storage media include magnetic storage media (e.g., ROM (read-only memory), RAM (random-access memory), floppy disks, hard disks, etc.) and optical reading media (e.g., CD-ROMs, DVDs (Digital Versatile Discs)). Computer-readable storage media can be distributed across networked computer systems, allowing computer-readable code to be stored and executed in a distributed manner. The storage medium is readable by a computer, stored in memory, and can be executed by a processor.

[0161] Computer-readable recording media may be provided in the form of non-transitory recording media. Here, 'non-transitory storage media' simply means that it is a tangible device and does not contain a signal (e.g., electromagnetic waves), and the term does not distinguish between cases where data is stored semi-permanently and cases where it is stored temporarily. For example, 'non-transitory storage media' may include a buffer in which data is stored temporarily.

[0162] In addition, the program may be provided as part of a computer program product. Computer program products may be traded between a seller and a buyer as goods.

[0163] A computer program product may include a software program and a computer-readable recording medium on which the software program is stored. For example, a computer program product may include a product in the form of a software program that is distributed electronically through a manufacturer of an electronic device or an electronic market (e.g., a downloadable application). For electronic distribution, at least a portion of the software program may be stored on a recording medium or temporarily created. In this case, the recording medium may be a server (600) of the manufacturer of the electronic device, a server (600) of the electronic market, or a recording medium of a relay server (600) that temporarily stores the software program.

[0164] Although the present invention has been described above by limited embodiments and drawings, the present invention is not limited thereto, and it is obvious that various modifications and variations are possible within the scope of the technical spirit of the present invention and the equivalent scope of the claims described below by those skilled in the art to which the present invention belongs.

[0165] Furthermore, since the present invention described above allows for various substitutions, modifications, and changes within the scope of the technical concept of the present invention to those skilled in the art without departing from the technical spirit of the present invention, it is not limited by the aforementioned embodiments and attached drawings, but rather all or part of each embodiment may be selectively combined to allow for various modifications.

[0166] (Explanation of symbols)

[0167] 100: Driving guide providing device

[0168] 110: Data acquisition unit

[0169] 120: Control unit

[0170] 130: Storage section

[0171] 500: Car

[0172] 510: ECU

[0173] 520: BMS

[0174] 600: Server

[0175] 610: Network

[0176] 620: Terminal

Claims

1. A data acquisition unit configured to acquire operation data of an electric device for a predetermined period; and A driving guide providing device comprising a control unit configured to classify the driving data according to a plurality of preset driving states to determine one or more driving sessions, determine a diagnostic item corresponding to each of the one or more driving sessions among a plurality of preset diagnostic items, determine a feature value for the determined diagnostic item, and calculate a diagnostic score for each of the driving sessions based on the one or more feature values ​​determined for each diagnostic item.

2. In Paragraph 1, The above control unit is, A driving guide providing device configured to determine one or more corresponding diagnostic items among the plurality of diagnostic items for each of the plurality of driving states, and to calculate a driving state score for each of the plurality of driving states during the predetermined period by synthesizing the diagnostic scores calculated for the determined one or more diagnostic items.

3. In Paragraph 1, The above control unit is, A driving guide providing device configured to calculate a comprehensive score for a predetermined period by synthesizing diagnostic scores calculated based on the above driving data.

4. In Paragraph 1, The above control unit is, A driving guide providing device configured to separate the above driving data at each preset diagnostic period and to calculate the above diagnostic score for the above diagnostic item at each diagnostic period based on each separated driving data.

5. In Paragraph 4, The above control unit is, A driving guide providing device configured to select a guide item corresponding to the diagnostic period from among a plurality of preset guide items, and to generate guide information for the selected guide item based on the diagnostic score for the diagnostic item.

6. In Paragraph 5, The above guide items are, A driving guide providing device configured differently for each of the above diagnostic periods.

7. In Paragraph 1, The above data acquisition unit is, It is configured to acquire multiple operation data for the electric device acquired over multiple periods, and The above control unit is, A driving guide providing device configured to generate a profile for the driving history of the electric device based on the diagnostic score calculated for the plurality of driving data.

8. In Paragraph 1, The above plurality of operating states are, A driving guide providing device pre-set to include charging status, driving status, and parking status.

9. In Paragraph 1, The above diagnostic items are, A driving guide providing device configured differently for each of the above driving states.

10. A vehicle comprising a driving guide providing device according to any one of paragraphs 1 through 9.

11. A server including an operation guide providing device according to any one of paragraphs 1 through 9.

12. An operation data acquisition step for acquiring operation data of an electric device for a predetermined period; A driving session determination step for classifying the above driving data according to a plurality of preset driving states to determine one or more driving sessions; A diagnostic item determination step for determining a corresponding diagnostic item in each of the one or more driving sessions among a plurality of preset diagnostic items; A feature value determination step for determining feature values ​​for determined diagnostic items; and A method for providing a driving guide comprising a diagnostic score calculation step of calculating a diagnostic score for each of the driving sessions based on one or more feature values ​​determined for each of the above diagnostic items.

13. A computer-readable recording medium storing a program for executing the method of providing an operation guide pursuant to Paragraph 12.

Images