Apparatus for calculating battery efficiency of electric vehicle and method of operating same

Abstract

A battery efficiency calculation apparatus according to one embodiment disclosed herein includes: a data collection unit configured to collect usage data on an electric vehicle; a weather data acquisition unit configured to acquire weather forecast data from an external server; and a calculation unit configured to calculate a battery efficiency of the electric vehicle based on the usage data and the weather forecast data.

Description

Technical Field

[0001] Cross - Reference to Related Applications

[0002] This application claims the priority and benefit of Korean Patent Application No. 10 - 2022 - 0140760, filed on October 27, 2022, with the Korean Intellectual Property Office, the entire contents of which are incorporated herein by reference. Technical Field

[0004] Embodiments disclosed herein relate to an apparatus for calculating battery efficiency of an electric vehicle and an operation method thereof. Background Art

[0005] With the emergence of environmental and energy problems, hybrid electric vehicles and electric vehicles among various types of vehicles have received attention as future means of transportation. Hybrid electric vehicles and electric vehicles can use a battery pack including a plurality of secondary batteries capable of charging and discharging as a main power source.

[0006] Due to charging, discharging, and being unattended from the time of shipment, the battery gradually deteriorates over time. The battery deteriorates in various forms, such as a decrease in the maximum rechargeable current, an increase in internal resistance, etc., and there are some parameters that can detect the degree of deterioration of each battery cell among a plurality of battery cells connected in series in the battery pack.

[0007] In addition, the battery has an available capacitor that can change according to the surrounding environment (e.g., weather). Summary of the Invention

[0008] Technical Problem

[0009] Since the available capacitor of the battery changes according to the surrounding environment (e.g., weather), the driving range of the electric vehicle can also change.

[0010] Therefore, a method for improving the possibility of predicting the driving range of a user is needed.

[0011] The object of the embodiments disclosed herein is not limited to the above object, and other objects not mentioned will be clearly understood by those skilled in the art from the following description.

[0012] Technical Solution

[0013] A battery efficiency calculation device according to an embodiment disclosed herein includes: a data collection unit configured to collect usage data on an electric vehicle; a weather data acquisition unit configured to acquire weather forecast data from an external server; and a calculation unit configured to calculate the efficiency of the battery of the electric vehicle based on the usage data and the weather forecast data.

[0014] The battery efficiency calculation device according to an embodiment disclosed herein further includes: a pattern analysis unit configured to analyze the usage pattern of the electric vehicle based on the usage data; and a prediction unit configured to predict the next usage time of the electric vehicle based on the usage pattern, wherein the calculation unit calculates the efficiency of the battery based on the next usage time and the weather forecast data.

[0015] The prediction unit of the battery efficiency calculation device according to an embodiment disclosed herein may predict the next driving route of the electric vehicle based on the usage pattern, and the calculation unit may further calculate the efficiency of the battery based on the driving route.

[0016] The battery efficiency calculation device according to an embodiment disclosed herein may further include a display unit configured to display the calculated efficiency.

[0017] The calculation unit of the battery efficiency calculation device according to an embodiment disclosed herein may determine a relational expression based on the battery efficiency database of the battery, and calculate the efficiency of the battery based on the relational expression.

[0018] In the battery efficiency calculation device according to an embodiment disclosed herein, the relational expression may be a polynomial function of up to the second order with respect to temperature.

[0019] The calculation unit of the battery efficiency calculation device according to an embodiment disclosed herein may calculate the efficiency of the battery using the relational expression within a predetermined temperature range.

[0020] The calculation unit of the battery efficiency calculation device according to an embodiment disclosed herein may determine the relational expression based on the state of health SoH of the battery.

[0021] The calculation unit of the battery efficiency calculation device according to an embodiment disclosed herein may calculate the driving range of the electric vehicle based on the SoH of the battery and the efficiency of the battery.

[0022] The battery efficiency calculation device according to an embodiment disclosed herein may further include a discharge rate analysis unit configured to analyze the discharge rate of the battery of the electric vehicle based on the usage data, wherein the calculation unit calculates the drivable time of the electric vehicle based on the discharge rate and the efficiency of the battery.

[0023] A method for operating a battery efficiency calculation device according to an embodiment disclosed herein includes: an operation of collecting usage data of an electric vehicle; an operation of obtaining weather forecast data from an external server; and an operation of calculating the efficiency of the battery of the electric vehicle based on the usage data and the weather forecast data.

[0024] The method for operating a battery efficiency calculation device according to an embodiment disclosed herein may further include: an operation of analyzing the usage pattern of the electric vehicle based on the usage data; and an operation of predicting the next usage time of the electric vehicle based on the usage pattern, wherein the operation of calculating the efficiency of the battery includes an operation of calculating the efficiency of the battery based on the next usage time and the weather forecast data.

[0025] The method for operating a battery efficiency calculation device according to an embodiment disclosed herein may further include an operation of predicting the next driving route of the electric vehicle based on the usage pattern, wherein the operation of calculating the efficiency of the battery includes further calculating the efficiency of the battery based on the driving route.

[0026] The method for operating a battery efficiency calculation device according to an embodiment disclosed herein may further include an operation of displaying the calculated efficiency.

[0027] The operation of calculating the efficiency of the battery in the method for operating a battery efficiency calculation device according to an embodiment disclosed herein may further include: an operation of determining a relational expression based on a battery efficiency database of the battery; and an operation of calculating the efficiency of the battery based on the relational expression.

[0028] In the method for operating a battery efficiency calculation device according to an embodiment disclosed herein, the relational expression may be a polynomial function of degree 2 at most with respect to temperature.

[0029] The operation of calculating the efficiency of the battery in the method for operating a battery efficiency calculation device according to an embodiment disclosed herein may further include an operation of calculating the efficiency of the battery using the relational expression within a predetermined temperature range.

[0030] The operation of determining the relational expression in the method for operating a battery efficiency calculation device according to an embodiment disclosed herein may further include an operation of determining the relational expression based on the state of health SoH of the battery.

[0031] The operation of calculating the efficiency of the battery in the method for operating a battery efficiency calculation device according to an embodiment disclosed herein may further include an operation of calculating the driving range of the electric vehicle based on the SoH of the battery and the efficiency of the battery.

[0032] The method of operating a battery efficiency calculation device according to an embodiment disclosed herein may further include an operation of analyzing a discharge rate of the battery of the electric vehicle based on the usage data, wherein the operation of calculating the efficiency of the battery further includes an operation of calculating a travelable time of the electric vehicle based on the discharge rate and the efficiency of the battery.

[0033] Advantageous Effects

[0034] A battery efficiency calculation device and an operation method thereof according to various embodiments disclosed herein can calculate battery efficiency.

[0035] A battery efficiency calculation device and an operation method thereof according to various embodiments disclosed herein can provide a calculated efficiency of a battery of an electric vehicle to a user.

[0036] A battery efficiency calculation device and an operation method thereof according to various embodiments disclosed herein can provide a cruising range of an electric vehicle to a user based on the calculated efficiency of the battery of the electric vehicle.

[0037] The effects of the battery efficiency calculation device and the operation method thereof according to the disclosure of this document are not limited to the above effects, and those skilled in the art will be able to clearly understand other effects not mentioned according to the disclosure of this document. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 is a block diagram of a battery efficiency calculation device according to various embodiments of the present disclosure.

[0039] Figure 2a Shows reference materials for generating an efficiency database.

[0040] Figure 2b Shows reference materials for generating an efficiency database.

[0041] Figure 2c Shows reference materials for generating an efficiency database.

[0042] Figure 3 Shows a relational expression generated by a battery efficiency calculation device based on an efficiency database according to an embodiment of the present disclosure.

[0043] Figure 4a Shows a user interface (UI) displayed by a battery efficiency calculation device according to an embodiment of the present disclosure.

[0044] Figure 4b Shows the UI displayed by a battery efficiency calculation device according to an embodiment of the present disclosure.

[0045] Figure 5It is a flowchart showing an operation method of a battery efficiency calculation device according to an embodiment of the present disclosure.

[0046] In the description of the drawings, the same or similar reference numerals may be used for the same or similar components. Detailed Embodiment

[0047] Hereinafter, embodiments of the present invention will be described with reference to the drawings. However, it should be understood that this is not intended to limit the present invention to specific embodiments, but includes various variations, equivalents, and / or alternatives of the embodiments of the present invention.

[0048] It should be understood that the embodiments of this document and the terms used herein are not intended to limit the technical features described herein to specific embodiments, and include various variations, equivalents, or alternatives of the corresponding embodiments. In the description of the drawings, similar reference numerals may be used for similar or related components. The singular form of a noun corresponding to an item may include one item or multiple items, unless the relevant context clearly stipulates otherwise.

[0049] In this document, in each phrase such as "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", any one of the items listed together in the corresponding phrase or all possible combinations thereof may be included. Terms such as "first", "second", "first", "second", "A", "B", "(a)", or "(b)" may simply be used to distinguish the corresponding component from another component, and do not limit the corresponding component in terms of other aspects (e.g., importance or order).

[0050] When a certain component (e.g., the first component) is described as being "coupled", "connected", or "joined" (regardless of whether "functional" or "communicative" terms are used) to another component (e.g., the second component), or "coupled" or "connected", this means that the certain component can be directly (e.g., by wired or wireless means) or indirectly (e.g., through a third component) connected to the other component.

[0051] The methods according to various embodiments disclosed herein can be provided as being included in a computer program product. The computer program product can be traded as a commodity between a seller and a buyer. The computer program product can be distributed in the form of a device-readable storage medium (e.g., Compact Disc Read-Only Memory (CD-ROM)) or distributed via an application store (e.g., downloaded or uploaded) or directly distributed online between two user devices. In the case of online distribution, at least some computer program products can be stored or generated temporarily at least in a device-readable storage medium, such as in a memory of a manufacturer's server, an application store's server, or a relay server.

[0052] According to the embodiments disclosed herein, each of the above components (e.g., module or program) can include a single object or multiple objects, and some of the multiple objects can be separately provided in another component. According to the embodiments disclosed herein, one or more of the above corresponding components or operations can be omitted, or one or more other components or operations can be added. Alternatively or additionally, multiple components (e.g., modules or programs) can be integrated into one component. In this case, the integrated component can perform one or more functions of each of the multiple components, and the one or more functions are the same as or similar to the functions performed by the corresponding components among the multiple components before integration. According to the embodiments disclosed herein, the operations performed by a module, a program, or other components can be executed sequentially, in parallel, repeatedly, or heuristically, or one or more operations can be executed in a different order or omitted, or one or more other operations can be added.

[0053] Figure 1 is a block diagram of a battery efficiency calculation device 100 according to various embodiments of the present disclosure. Figure 2a Shows reference materials for generating an efficiency database. Figure 2b Shows reference materials for generating an efficiency database. Figure 2c Shows reference materials for generating an efficiency database. Figure 3 Shows a relational expression generated by the battery efficiency calculation device 100 based on the efficiency database according to an embodiment of the present disclosure.

[0054] In one embodiment, the battery efficiency calculation device 100 may be integrally formed with the electric vehicle 101. In another embodiment, the battery efficiency calculation device 100 may be separately formed from the electric vehicle 101. For example, the battery efficiency calculation device 100 may be implemented as a portable terminal (e.g., a smart phone). As another example, the battery efficiency calculation device 100 may be a service providing server. When the battery efficiency calculation device 100 is implemented as a service providing server, the battery efficiency calculation device 100 may provide information about the efficiency of the battery pack 103 of the electric vehicle 101 to a terminal associated with the user of the electric vehicle 101.

[0055] Reference Figure 1 , the battery efficiency calculation device 100 may include a data collection unit 110, a weather data acquisition unit 120, a pattern analysis unit 130, a prediction unit 140, a discharge rate analysis unit 150, a calculation unit 160, and a display unit 170.

[0056] In one embodiment, the data collection unit 110 may be implemented as a communication circuit. In this case, the data collection unit 110 may send data to and receive data from the electric vehicle 101 in a wired and / or wireless manner.

[0057] In one embodiment, the data collection unit 110 may collect usage data about the electric vehicle 101. In one embodiment, the usage data may include location information, driving information (driving time or driving route), fuel efficiency during driving, and information about the discharge rate (or C-rate) of the battery pack 103 of the electric vehicle 101.

[0058] In one embodiment, the pattern analysis unit 130 may be implemented as a processor capable of performing various data processing or calculations. In one embodiment, the pattern analysis unit 130 may analyze the usage pattern of the electric vehicle 101 based on the usage data of the data collection unit 110. In one embodiment, the pattern analysis unit 130 may analyze information about the usage pattern of the electric vehicle 101 based on the usage data by time and date. For example, the pattern analysis unit 130 may classify whether the electric vehicle 101 is used for each time period (e.g., in units of 15 minutes or 30 minutes) and driving section when the electric vehicle 101 is in use based on the location information and driving information (driving time and driving route). In one embodiment, the pattern analysis unit 130 may determine the usage pattern based on the classified data by time period. In one embodiment, the usage pattern may include information about the driving route, driving time, and fuel efficiency.

[0059] In one embodiment, the prediction unit 140 may be implemented as a processor capable of performing various data processing or calculations. In one embodiment, the prediction unit 140 may predict the next usage time of the electric vehicle 101 based on the usage pattern. In one embodiment, the next usage time may be probabilistically determined based on the usage pattern. For example, the prediction unit 140 may determine the first time point at which the usage probability divided by time period (e.g., in units of 15 minutes or 30 minutes) exceeds a threshold as the next usage time.

[0060] In one embodiment, the prediction unit 140 may predict the next driving route of the electric vehicle 101 based on the usage pattern. In one embodiment, the next driving route may be the driving route most used during the determined next usage time.

[0061] In one embodiment, the weather data acquisition unit 120 may be implemented as a communication circuit. In this case, the weather data acquisition unit 120 may wirelessly send data to and receive data from the external server 105.

[0062] In one embodiment, the weather data acquisition unit 120 may acquire weather forecast data from the external server 105. In one embodiment, the weather forecast data may include weather information divided by time (e.g., temperature, rainfall, snowfall, or wind speed) and regional weather information.

[0063] In one embodiment, the weather data acquisition unit 120 may acquire weather information about an area within a predetermined distance (e.g., 300 km) from the area where the electric vehicle 101 is located from the external server 105. In one embodiment, the weather data acquisition unit 120 may acquire weather information about the passable area from the external server 105 according to the driving pattern of the electric vehicle 101. In one embodiment, the passable area may be the area traveled by the electric vehicle 101 within a predetermined time period (e.g., 2 weeks). Here, the passable area may be set differently according to weekdays, weekends, and public holidays. In this case, the predetermined time period (e.g., 2 weeks, 1 month, or 6 months) may be set differently according to weekdays, weekends, and public holidays.

[0064] In one embodiment, the discharge rate analysis unit 150 may be implemented as a processor capable of performing various data processing or calculations. In one embodiment, the discharge rate analysis unit 150 may analyze the discharge rate of the battery pack 103 of the electric vehicle 101 based on the usage data. In one embodiment, the discharge rate analysis unit 150 may determine the discharge rate for each predetermined time period. For example, the discharge rate analysis unit 150 may determine the average discharge rate for each quarter based on the usage data.

[0065] In one embodiment, the calculation unit 160 may calculate the efficiency of the battery pack 103 of the electric vehicle 101 based on weather forecast data. Here, the efficiency may represent the change rate of the available capacity according to the temperature change.

[0066] In one embodiment, the calculation unit 160 may determine a relational expression based on the battery efficiency database of the battery pack 103. In one embodiment, the calculation unit 160 may calculate the efficiency of the battery pack 103 based on the determined relational expression. Here, the relational expression may be a polynomial function of the second highest order with respect to temperature. Here, the relational expression may be determined based on the state of health (SoH) of the battery pack 103. For example, the calculation unit 160 may determine the relational expression corresponding to the SoH of the battery pack 103 in the relational expression of each SoH.

[0067] In one embodiment, the battery efficiency database may be generated based on the experimental data of the battery pack of the same type as the battery pack 103. For example, the battery efficiency database may be generated based on the information about the capacity of the battery pack obtained when the battery pack is discharged under the influence of temperature (for example, the depth of discharge (DoD) is discharged from 0% to 100%).

[0068] The battery efficiency database may be generated based on the capacity-discharge times information in the interval where the SoH of the battery pack is a predetermined reference value (for example, 80%) or greater. For example, when the state of charge (SoC) is 100% at the time point when the SoH of the battery pack is 100%, the capacity of the battery pack may be 60 Ah. In this case, the battery efficiency database may be generated based on the capacity-discharge times information when the capacity is 48 Ah or greater when the battery pack is fully charged (SoC is 100%).

[0069] Figure 2a A graph showing the capacity-discharge times obtained when the battery pack is discharged from 0% to 100% DoD at -10°C. Refer to Figure 2a, the measurement data 211 may represent the measured values of the battery pack capacity according to the number of discharges, and the fitting data 212, 213, 214, and 215 may represent the average change of each interval of the measurement data 211. The intervals of the measurement data 211 may be divided by the points where the measured values change rapidly (hereinafter referred to as change points). A battery efficiency database may be generated based on the data 212 among the fitting data 212, 213, 214, and 215 where the SoH of the battery pack is a predetermined reference value (80%) or greater. For example, a battery efficiency database may be generated based on the ratio (or percentage) of the available capacity to the actual capacity obtained from the data 212 where the SoH of the battery pack is a predetermined reference value (80%) or greater. For example, when the DoD of the battery pack discharges from 0% to 100%, the available capacity of the battery pack at -10°C may be 83% of the actual capacity.

[0070] Figure 2b Shows a graph of capacity - number of discharges obtained when the DoD of the battery pack discharges from 0% to 100% at 25°C. Refer to Figure 2b , the measurement data 221 may represent the measured values of the battery pack capacity according to the number of discharges, and the fitting data 222 to 229 may represent the average change of each interval of the measurement data 221. A battery efficiency database may be generated based on the data 222 to 229 among the fitting data 222 to 229 where the SoH of the battery pack is a predetermined reference value (80%) or greater. For example, when the DoD of the battery pack discharges from 0% to 100%, the available capacity of the battery pack at 25°C may be 100% of the actual capacity.

[0071] Figure 2c Shows a graph of capacity - number of discharges obtained when the DoD of the battery pack discharges from 0% to 100% at 45°C. Refer to Figure 2c , the measurement data 231 may represent the measured values of the battery pack capacity according to the number of discharges, and the fitting data 232 to 236 may represent the average change of each interval of the measurement data 231. A battery efficiency database may be generated based on the data 232 to 236 among the fitting data 232 to 236 where the SoH of the battery pack is a predetermined reference value (80%) or greater. For example, when the DoD of the battery pack discharges from 0% to 100%, the available capacity of the battery pack at 45°C may be 103% of the actual capacity.

[0072] In one embodiment, the battery efficiency database may be as shown in Table 1 below.

[0073] [Table 1]

[0074]

[0075] Referring to Table 1, the battery efficiency database may include efficiency information according to the battery pack temperature when the DoD of the battery pack discharges from 0% to 100%.

[0076] According to an embodiment, the battery efficiency database may include efficiency information according to the battery pack temperature not only under the condition that the DoD of the battery pack discharges from 0% to 100%, but also under other conditions (for example, discharges from 30% to 80%, discharges from 0% to 80%, or discharges from 30% to 100%).

[0077] According to an embodiment, the battery efficiency database may include efficiency information according to the battery pack temperature obtained according to different SoHs of the battery pack. For example, the battery efficiency database may further include efficiency information according to the battery pack temperature obtained when the SoH of the battery pack is 100%, efficiency information according to the battery pack temperature obtained when the SoH is 95%, efficiency information according to the battery pack temperature obtained when the SoH is 90%, etc.

[0078] In one embodiment, the relational expression may be a polynomial function of the highest order of 2 generated based on the efficiency information under the influence of temperature in the battery efficiency database (as expressed in Table 1). Refer to Figure 3 , according to the relational expression being a polynomial function of the highest order of 2, the curve graph 311 based on the fitting data of the battery efficiency database may be changed to the curve graph 315.

[0079] For example, the relational expression may be as shown in the following Equation 1.

[0080] [Equation 1

[0081] Q ratio = aT 2 + bT + c

[0082] Here, the relational expression Q ratio can be expressed as a polynomial function of the highest order of 2, and the coefficients a, b, and c can be determined based on the battery efficiency database as shown in Table 1. Here, T represents the temperature. For example, a may be -3.11*10 -3 , b may be 5.217*10 -1 , and c may be -1.156*10.

[0083] In one embodiment, the calculation unit 160 may determine the relational expression based on the battery efficiency database of the battery pack 103. For example, the calculation unit 160 may select the relational expression corresponding to the current SoH of the battery pack 103 in the relational expression.

[0084] In one embodiment, the calculation unit 160 may calculate the efficiency of the battery pack 103 using a relational expression determined within a predetermined temperature range. Here, the predetermined temperature range may be within the range of -40°C to 80°C.

[0085] In one embodiment, the calculation unit 160 may calculate the efficiency of the battery pack 103 of the electric vehicle 101 based on usage data and weather forecast data. For example, the calculation unit 160 may calculate the efficiency of the battery pack 103 based on the next usage time and weather forecast data. The calculation unit 160 may determine the temperature at the next usage time and calculate the efficiency of the battery pack 103 based on the determined temperature. As another example, the calculation unit 160 may determine the temperature of the area passed along the next driving route and calculate the efficiency of the battery pack 103 based on the determined temperature.

[0086] In one embodiment, the calculation unit 160 may calculate the driving range of the electric vehicle 101 based on the SoH of the battery pack 103 and the efficiency of the battery pack 103. For example, the calculation unit 160 may identify the capacity according to the SoH of the battery pack 103 and determine the actual available capacity based on the SoC and efficiency. Thereafter, the calculation unit 160 may calculate the driving range of the electric vehicle 101 by multiplying the available capacity by the fuel efficiency.

[0087] In one embodiment, the calculation unit 160 may calculate the driving range of the electric vehicle 101 based on the next usage time and weather forecast data. For example, the calculation unit 160 may calculate the driving range of the electric vehicle 101 by multiplying the actual available capacity by the fuel efficiency according to the temperature at the next usage time.

[0088] In one embodiment, the calculation unit 160 may calculate the driving range of the electric vehicle 101 based on the next driving route and weather forecast data. For example, the calculation unit 160 may calculate the driving range of the electric vehicle 101 by multiplying the actual available capacity by the fuel efficiency according to the temperature of the area passed along the next driving route.

[0089] In one embodiment, the calculation unit 160 may calculate the drivable time of the electric vehicle 101 based on the discharge rate and the efficiency of the battery pack 103. For example, the calculation unit 160 may identify the capacity according to the SoH of the battery pack 103 and determine the actual available capacity based on the SoC and efficiency. Thereafter, the calculation unit 160 may calculate the drivable time of the electric vehicle 101 by multiplying the actual available capacity by the discharge rate.

[0090] In one embodiment, the calculation unit 160 may calculate the available driving time of the electric vehicle 101 based on the discharge rate and the next driving route. For example, the calculation unit 160 may calculate the available driving time of the electric vehicle 101 by multiplying the actual available capacity by the discharge rate according to the area passed along the next driving route.

[0091] In one embodiment, the display unit 170 may be implemented as a display. In this case, the display unit 170 may visually provide information to the outside of the battery efficiency calculation device 100 (e.g., the user). In one embodiment, the display unit 170 is implemented as any one of a liquid crystal display (LCD), a light emitting diode (LED) display, or an organic light emitting diode (OLED) display. In one embodiment, the display unit 170 may be formed of a touch screen for detecting touch and / or proximity touch (or hover) input using a part of the user's body (e.g., a finger) or an input unit (e.g., a stylus). In one embodiment, the display unit 170 may include a touch sensor group for detecting touch or a pressure sensor group for measuring the intensity of the force generated by the touch.

[0092] In one embodiment, the display unit 170 may display the calculated efficiency. In one embodiment, the display unit 170 may display the calculated driving range. In one embodiment, the display unit 170 may display the calculated available driving time.

[0093] Figure 4a A user interface (UI) 410 displayed by the battery efficiency calculation device according to an embodiment of the present disclosure is shown.

[0094] Reference Figure 4a , the efficiency today (e.g., 26%) and the efficiency for tomorrow and the day after tomorrow may be displayed on the UI 410. The efficiency displayed on the UI 410 may be the efficiency calculated according to the temperature. In one embodiment, the efficiency displayed on the UI 410 is the efficiency corresponding to the representative temperature of the corresponding date (e.g., the temperature at noon or the temperature during the expected driving time).

[0095] Figure 4b A UI 420 displayed by the battery efficiency calculation device according to an embodiment of the present disclosure is shown.

[0096] Reference Figure 4b, the UI 420 can display the curves 421, 422, and 423, which indicate the efficiency changes during the 17:30 driving. The curve 421 in the UI 420 can represent the actual efficiency. The curves 422 and 423 in the UI 420 can be the upper and lower limits of the expected efficiency. For example, the upper and lower limits of the efficiency can be determined based on the upper and lower limits of the temperature.

[0097] Figure 5 is a flowchart showing an operation method of the battery efficiency calculation device 100 according to an embodiment of the present disclosure.

[0098] Reference Figure 5 , in operation 510, the battery efficiency calculation device 100 can collect usage data about the electric vehicle 101. In one embodiment, the usage data can include location information, driving information (driving time or driving route), fuel efficiency during driving, and information about the discharge rate (or C-rate) of the battery pack 103 of the electric vehicle 101.

[0099] In operation 520, the battery efficiency calculation device 100 can obtain weather forecast data. In one embodiment, the weather forecast data can include weather information divided by time (e.g., temperature, rainfall, snowfall, or wind speed) and regional weather information.

[0100] In operation 530, the battery efficiency calculation device 100 can calculate the efficiency of the battery pack 103 of the electric vehicle 101.

[0101] In one embodiment, the battery efficiency calculation device 100 can analyze the usage pattern of the electric vehicle 101 based on the usage data. In one embodiment, the battery efficiency calculation device 100 can predict the next usage time and / or the next driving route of the electric vehicle 101 based on the usage pattern.

[0102] In one embodiment, the battery efficiency calculation device 100 can calculate the efficiency of the battery pack 103 of the electric vehicle 101 based on the weather forecast data. Here, the efficiency can represent the change rate of the available capacity according to the temperature change.

[0103] In one embodiment, the battery efficiency calculation device 100 may calculate the efficiency of the battery pack 103 of the electric vehicle 101 based on usage data and weather forecast data. For example, the battery efficiency calculation device 100 may calculate the efficiency of the battery pack 103 based on the next usage time and weather forecast data. The battery efficiency calculation device 100 may determine the temperature at the next usage time and calculate the efficiency of the battery pack 103 based on the determined temperature. As another example, the battery efficiency calculation device 100 may determine the temperature of the area passed along the next driving route and calculate the efficiency of the battery pack 103 based on the determined temperature.

[0104] Thereafter, the battery efficiency calculation device 100 may calculate the driving range and / or the drivable time of the electric vehicle 101 based on the efficiency.

Claims

1. A battery efficiency calculation device, the battery efficiency calculation device comprises: a data collection unit configured to collect usage data of an electric vehicle; a weather data acquisition unit configured to obtain weather forecast data from an external server; and a calculation unit configured to calculate the efficiency of the battery of the electric vehicle based on the usage data and the weather forecast data.

2. The battery efficiency calculation device according to claim 1, the battery efficiency calculation device further comprises: a mode analysis unit configured to analyze the usage mode of the electric vehicle based on the usage data; and a prediction unit configured to predict the next usage time of the electric vehicle based on the usage mode, wherein the calculation unit calculates the efficiency of the battery based on the next usage time and the weather forecast data.

3. The battery efficiency calculation device according to claim 2, wherein, the prediction unit predicts the next driving route of the electric vehicle based on the usage mode, and the calculation unit further calculates the efficiency of the battery based on the driving route.

4. The battery efficiency calculation device according to claim 1, the battery efficiency calculation device further comprises a display unit configured to display the calculated efficiency.

5. The battery efficiency calculation device according to claim 1, wherein, the calculation unit determines a relational expression based on a battery efficiency database of the battery, and calculates the efficiency of the battery based on the relational expression.

6. The battery efficiency calculation device according to claim 5, wherein, the relational expression is a polynomial function of the highest order 2 for temperature.

7. The battery efficiency calculation device according to claim 5, wherein, the calculation unit calculates the efficiency of the battery using the relational expression within a predetermined temperature range.

8. The battery efficiency calculation device according to claim 5, wherein, the calculation unit determines the relational expression based on the state of health SoH of the battery.

9. The battery efficiency calculation device according to claim 1, wherein, the calculation unit calculates the cruising range of the electric vehicle based on the SoH of the battery and the efficiency of the battery.

10. The battery efficiency calculation device according to claim 1, the battery efficiency calculation device further comprises a discharge rate analysis unit configured to analyze the discharge rate of the battery of the electric vehicle based on the usage data, wherein, the calculation unit calculates the drivable time of the electric vehicle based on the discharge rate and the efficiency of the battery.

11. A method for operating a battery efficiency calculation device, the method comprises: an operation of collecting usage data of an electric vehicle; an operation of obtaining weather forecast data from an external server; and an operation of calculating the efficiency of the battery of the electric vehicle based on the usage data and the weather forecast data.

12. The method according to claim 10, the method further comprises: Operations for analyzing the usage pattern of the electric vehicle based on the usage data; and Operations for predicting the next usage time of the electric vehicle based on the usage pattern, wherein the operation of calculating the efficiency of the battery includes the operation of calculating the efficiency of the battery based on the next usage time and the weather forecast data.

13. The method according to claim 12, the method further includes an operation of predicting the next driving route of the electric vehicle based on the usage pattern, wherein, the operation of calculating the efficiency of the battery includes further calculating the efficiency of the battery based on the driving route.

14. The method according to claim 11, the method further includes an operation of displaying the calculated efficiency.

15. The method according to claim 11, wherein, the operation of calculating the efficiency of the battery includes: an operation of determining a relational expression based on the battery efficiency database of the battery; and an operation of calculating the efficiency of the battery based on the relational expression.

16. The method according to claim 15, wherein, the relational expression is a polynomial function of degree 2 at most with respect to temperature.

17. The method according to claim 15, wherein, the operation of calculating the efficiency of the battery further includes an operation of calculating the efficiency of the battery using the relational expression within a predetermined temperature range.

18. The method according to claim 15, wherein, the operation of determining the relational expression further includes an operation of determining the relational expression based on the state of health SoH of the battery.

19. The method according to claim 11, wherein, the operation of calculating the efficiency of the battery further includes an operation of calculating the driving range of the electric vehicle based on the SoH of the battery and the efficiency of the battery.

20. The method according to claim 11, the method further includes an operation of analyzing the discharge rate of the battery of the electric vehicle based on the usage data, wherein, the operation of calculating the efficiency of the battery further includes an operation of calculating the drivable time of the electric vehicle based on the discharge rate of the battery and the efficiency.

Images