Apparatus for calculating battery efficiency of electric vehicle and method of operation thereof

Abstract

A battery efficiency calculation device according to one embodiment disclosed in this specification may include a data collection unit that collects usage data about an electric vehicle, a weather data acquisition unit that acquires weather forecast data from an external server, and a calculation unit that calculates the efficiency of the battery of the electric vehicle based on the usage data and the weather forecast data.

Description

[Technical Field]

[0001] The embodiments disclosed in this specification claim the benefit of priority based on Korean Patent Application No. 10-2022-0140760, filed on October 27, 2022, and all contents disclosed in the documents of this Korean patent application are incorporated herein by reference.

[0002] SUMMARY OF THE INVENTION The embodiments disclosed herein relate to an apparatus and method of operation for calculating battery efficiency for electric vehicles. [Background technology]

[0003] As environmental and energy resource issues become more prominent, hybrid vehicles and electric vehicles, among various types of automobiles, are gaining attention as future modes of transportation. Hybrid vehicles and electric vehicles may use a battery pack including a plurality of rechargeable secondary batteries as a main power source.

[0004] Batteries gradually deteriorate over time due to charging, discharging, and storage from the time of shipment. Battery deterioration manifests itself in various ways, such as a decrease in maximum chargeable capacity and an increase in internal resistance, and there are parameters that can be used to check the degree of deterioration of each of the multiple battery cells connected in series within a battery pack.

[0005] Furthermore, the available capacity of a battery may change depending on the surrounding environment (e.g., weather). Summary of the Invention [Problem to be solved by the invention]

[0006] If the available capacity of the battery changes depending on the surrounding environment (e.g., weather), the driving range of an electric vehicle may also change.

[0007] Therefore, there is a need for a method to increase the predictability of a user's driving range.

[0008] The technical problems of the embodiments disclosed in this specification are not limited to the above-mentioned technical problems, and a person skilled in the art can clearly understand other technical problems not mentioned from the following description. [Means for solving the problem]

[0009] A battery efficiency calculation device according to one embodiment disclosed in this specification may include a data collection unit that collects usage data about an electric vehicle, a weather data acquisition unit that acquires weather forecast data from an external server, and a calculation unit that calculates the efficiency of the battery of the electric vehicle based on the usage data and the weather forecast data.

[0010] A battery efficiency calculation device according to an embodiment disclosed in this specification further includes a pattern analysis unit that analyzes a usage pattern of the electric vehicle based on the usage data, and a prediction unit that predicts the next usage time of the electric vehicle based on the usage pattern, and the calculation unit can calculate the efficiency of the battery based on the next usage time and the weather forecast data.

[0011] The prediction unit of the battery efficiency calculation device according to one embodiment disclosed in this specification predicts the next driving route of the electric vehicle based on the usage pattern, and the calculation unit can calculate the efficiency of the battery based further on the driving route.

[0012] The battery efficiency calculation device according to an embodiment disclosed in this specification may further include a display unit that displays the calculated efficiency.

[0013] The calculation unit of the battery efficiency calculation device according to one embodiment disclosed in this specification can determine a relational expression based on a battery efficiency database for the battery, and calculate the efficiency of the battery based on the relational expression.

[0014] In the battery efficiency calculation device according to an embodiment disclosed in the present specification, the relational expression may be a polynomial function with a maximum degree of two for temperature.

[0015] The calculation unit of the battery efficiency calculation device according to an embodiment disclosed in this specification can calculate the efficiency of the battery using the relational expression within a predetermined temperature range.

[0016] The calculation unit of the battery efficiency calculation device according to an embodiment disclosed in this specification can determine the relational expression based on a state of health (SoH) of the battery.

[0017] The calculation unit of the battery efficiency calculation device according to one embodiment disclosed in this specification can calculate the driving range of the electric vehicle based on the state of health (SoH) of the battery and the efficiency of the battery.

[0018] A battery efficiency calculation device according to an embodiment disclosed in this specification further includes a discharge rate analysis unit that analyzes a discharge rate of the battery of the electric vehicle based on the usage data, and the calculation unit can calculate a driving time of the electric vehicle based on the discharge rate and the efficiency of the battery.

[0019] An operating method of a battery efficiency calculation device according to an embodiment disclosed in this specification may include collecting usage data about an electric vehicle, obtaining weather forecast data from an external server, and calculating the efficiency of a battery of the electric vehicle based on the usage data and the weather forecast data.

[0020] An operating method of a battery efficiency calculation device according to an embodiment disclosed in this specification further includes an operation of analyzing a usage pattern of the electric vehicle based on the usage data, and an operation of predicting a next usage time of the electric vehicle based on the usage pattern, and the operation of calculating the efficiency of the battery may include an operation of calculating the efficiency of the battery based on the next usage time and the weather forecast data.

[0021] An operating method of a battery efficiency calculation device according to one embodiment disclosed in this specification further includes an operation of predicting a next driving route of the electric vehicle based on the usage pattern, and the operation of calculating the efficiency of the battery can calculate the efficiency of the battery further based on the driving route.

[0022] A method of operating a battery efficiency calculation apparatus according to an embodiment disclosed herein may further include displaying the calculated efficiency.

[0023] In the method of operating a battery efficiency calculation device according to one embodiment disclosed in this specification, the operation of calculating the efficiency of the battery may further include an operation of determining a relational expression based on a battery efficiency database for the battery, and an operation of calculating the efficiency of the battery based on the relational expression.

[0024] In the method of operating the battery efficiency calculation device according to an embodiment disclosed in the present specification, the relational expression may be a polynomial function with a maximum degree of two for temperature.

[0025] In the method of operating a battery efficiency calculation device according to one embodiment disclosed in this specification, the operation of calculating the efficiency of the battery may further include an operation of calculating the efficiency of the battery using the relational expression within a predetermined temperature range.

[0026] The operation of determining the relational equation in the method of operating a battery efficiency calculation device according to one embodiment disclosed in this specification may further include an operation of determining the relational equation based on the state of health (SoH) of the battery.

[0027] In the method of operating a battery efficiency calculation device according to an embodiment disclosed in this specification, the operation of calculating the efficiency of the battery may further include an operation of calculating a driving range of the electric vehicle based on the state of health (SoH) of the battery and the efficiency of the battery.

[0028] A method of operating a battery efficiency calculation device according to an embodiment disclosed in this specification may further include an operation of analyzing a discharge rate of the battery of the electric vehicle based on the usage data, and the operation of calculating the efficiency of the battery may further include an operation of calculating a remaining driving time of the electric vehicle based on the discharge rate and the efficiency of the battery. [Effects of the Invention]

[0029] A battery efficiency calculation apparatus and method of operation thereof, according to various embodiments disclosed herein, can calculate the efficiency of a battery in an electric vehicle.

[0030] A battery efficiency calculation apparatus and its operating method according to various embodiments disclosed herein can provide a user with the calculated efficiency of a battery in an electric vehicle.

[0031] According to various embodiments disclosed herein, a battery efficiency calculation device and an operating method thereof can provide a user with a driving range of an electric vehicle according to the calculated efficiency of the battery of the electric vehicle.

[0032] The effects of the battery efficiency calculation device and its operating method disclosed in this specification are not limited to the effects described above, and a person skilled in the art can clearly understand other effects not mentioned based on the disclosure of this specification. [Brief explanation of the drawings]

[0033] [Figure 1] FIG. 1 is a block diagram of a battery efficiency calculation apparatus according to various embodiments of the present disclosure. [Figure 2a] 1 illustrates reference materials for generating an efficiency database. [Figure 2b] 1 illustrates reference materials for generating an efficiency database. [Figure 2c] 1 illustrates reference materials for generating an efficiency database. [Figure 3] 10 illustrates an example of a relational expression generated by a battery efficiency calculation device according to an embodiment of the present disclosure based on an efficiency database. [Figure 4a] 1 illustrates an example of a UI (user interface) displayed by a battery efficiency calculation device according to an embodiment of the present disclosure. [Figure 4b] 10 illustrates an example of a UI displayed by a battery efficiency calculation device according to an embodiment of the present disclosure. [Figure 5] 1 is a flowchart illustrating an operation method of a battery efficiency calculation device according to an embodiment of the present disclosure. DETAILED DESCRIPTION OF THE INVENTION

[0034] With regard to the description of the drawings, the same or similar reference numerals may be used for the same or similar components.

[0035] Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings. However, this is not intended to limit the present invention to the particular embodiments, and should be understood to include various modifications, equivalents, and / or alternatives of the embodiments of the present invention.

[0036] The embodiments and terms used in this specification are not intended to limit the technical features described in this specification to specific embodiments, but should be understood to include various modifications, equivalents, or alternatives of the embodiments. With regard to 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 or more of the item, unless the relevant context clearly dictates otherwise.

[0037] As used herein, each of the terms "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" may include any one of the items listed with the term, or all possible combinations thereof. Terms such as "first," "second," "primary," "second," "A," "B," "(a)," or "(b)" may be used simply to distinguish one element from other elements, and do not limit the element in other respects (e.g., importance or order) unless otherwise specified.

[0038] In this specification, when a (e.g., first) component is referred to as being "coupled," "coupled," or "connected" to another (e.g., second) component, with or without the terms "functionally" or "communicatively," or when a reference is made to "coupled" or "connected," it means that the component can be coupled to the other component directly (e.g., by wire or wirelessly) or indirectly (e.g., via a third component).

[0039] Methods according to various embodiments disclosed herein may be provided in a computer program product. The computer program product may be traded as a commodity between a seller and a buyer. The computer program product may be distributed in the form of a machine-readable storage medium (e.g., a compact disc read-only memory (CD-ROM)) or distributed online (e.g., downloaded or uploaded) via an application store or directly between two user devices. In the case of online distribution, at least a portion of the computer program product may be at least temporarily stored or temporarily generated on a machine-readable storage medium, such as the memory of a manufacturer's server, an application store server, or an intermediary server.

[0040] According to embodiments disclosed herein, each of the components described above (e.g., modules or programs) may include one or more entities, and some of the entities may be separately located in other components. According to embodiments disclosed herein, one or more of the components described above may be omitted, or one or more other components or operations may be added. Alternatively, or in addition, multiple components (e.g., modules or programs) may be integrated into a single component. In such cases, the integrated component may perform one or more functions of each of the multiple components in the same or similar manner as those performed by the respective components of the multiple components before the integration. According to embodiments disclosed herein, operations performed by modules, programs, or other components may be performed sequentially, in parallel, iteratively, or heuristically, or one or more of the operations may be performed in a different order, omitted, or one or more other operations may be added.

[0041] FIG. 1 is a block diagram of a battery efficiency calculation apparatus 100 according to various embodiments of the present disclosure. FIG. 2a illustrates reference materials for generating an efficiency database. FIG. 2b also illustrates reference materials for generating an efficiency database. FIG. 2c also illustrates reference materials for generating an efficiency database. FIG. 3 illustrates a relational expression generated by the battery efficiency calculation apparatus 100 according to an embodiment of the present disclosure based on the efficiency database.

[0042] In one embodiment, the battery efficiency calculation apparatus 100 may be formed integrally with the electric vehicle 101. In another embodiment, the battery efficiency calculation apparatus 100 may be formed separately from the electric vehicle 101. For example, the battery efficiency calculation apparatus 100 may be realized as a portable terminal (e.g., a smartphone). As yet another example, the battery efficiency calculation apparatus 100 may be a service providing server. When the battery efficiency calculation apparatus 100 is realized as a service providing server, the battery efficiency calculation apparatus 100 can provide information regarding the efficiency of the battery pack 103 of the electric vehicle 101 to a terminal linked to a user of the electric vehicle 101.

[0043] Referring to FIG. 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.

[0044] In one embodiment, the data collection unit 110 may be implemented as a communication circuit, in which case the data collection unit 110 may transmit and receive data to and from the electric vehicle 101 via wired and / or wireless communication.

[0045] In one embodiment, the data collection unit 110 can collect usage data about the electric vehicle 101. In one embodiment, the usage data may include information about the location information of the electric vehicle 101, driving information (driving time, driving route), electricity consumption during driving, and the discharge rate (or C-rate) of the battery pack 103.

[0046] 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 from the data collection unit 110. In one embodiment, the pattern analysis unit 130 may analyze information regarding the usage pattern of the electric vehicle 101 by time period and by date based on the usage data. For example, the pattern analysis unit 130 may classify whether the electric vehicle 101 is used and the driving section when the electric vehicle 101 is used by time interval (e.g., 15-minute or 30-minute interval) based on location information and driving information (driving time, driving route). In one embodiment, the pattern analysis unit 130 may determine the usage pattern by time period based on the classified data. In one embodiment, the usage pattern may include information regarding the driving route, driving time, and electricity consumption.

[0047] 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 use time of the electric vehicle 101 based on the use pattern. In one embodiment, the next use time may be determined probabilistically based on the use pattern. For example, the prediction unit 140 may determine the first time point at which the use probability for each time interval (e.g., 15-minute interval or 30-minute interval) exceeds a threshold as the next use time.

[0048] In one embodiment, the prediction unit 140 may predict a next driving route of the electric vehicle 101 based on the usage pattern. In one embodiment, the next driving route may be the most frequently used driving route during the determined next usage time.

[0049] In one embodiment, the weather data acquisition unit 120 may be implemented as a communication circuit, in which case the weather data acquisition unit 120 can wirelessly transmit and receive data to and from the external server 105.

[0050] In one embodiment, the weather data acquisition unit 120 can acquire weather forecast data from the external server 105. In one embodiment, the weather forecast data may include information about the weather by time period (e.g., information about temperature, amount of rainfall, amount of snowfall, wind speed, etc.) and the weather by region.

[0051] In one embodiment, the weather data acquisition unit 120 can acquire weather information about areas 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 can acquire weather information about visitable areas from the external server 105 according to the driving pattern of the electric vehicle 101. In one embodiment, the visitable areas may be areas that the electric vehicle 101 has visited within a predetermined period (e.g., two weeks). Here, the visitable areas may be set differently for weekdays, weekends, and holidays. In this case, the predetermined period (e.g., two weeks, one month, six months) may be set differently for weekdays, weekends, and holidays.

[0052] 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 a predetermined period. For example, the discharge rate analysis unit 150 may determine an average discharge rate for each quarter based on the usage data.

[0053] In one embodiment, the calculation unit 160 can calculate the efficiency of the battery pack 103 of the electric vehicle 101 based on weather forecast data, where the efficiency may indicate the rate of change of the available capacity as a function of temperature.

[0054] In one embodiment, the calculation unit 160 may determine a relational expression based on a battery efficiency database for 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 with a maximum degree of 2 for 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 a relational expression corresponding to the state of health of the battery pack 103 from among the relational expressions for each state of health.

[0055] In one embodiment, the battery efficiency database may be generated based on experimental data of battery packs of the same type as battery pack 103. For example, the battery efficiency database may be generated based on information about the capacity of the battery pack obtained while discharging the battery pack (e.g., discharging from 0% to 100% depth of discharge (DoD)) by temperature.

[0056] The battery efficiency database may be generated based on information on capacity versus number of discharges in a section where the SoH of the battery pack is equal to or greater than a predetermined standard (e.g., 80%). For example, when the SoH of the battery pack is 100% and the state of charge (SoC) is 100%, the capacity of the battery pack may be 60 Ah. In this case, the battery efficiency database may be generated based on information on capacity versus number of discharges when the battery pack is fully charged (SoC is 100%) and has a capacity of 48 Ah or greater.

[0057] FIG. 2a shows a graph of capacity and number of discharges obtained while discharging a battery pack from 0% to 100% DoD at minus 10 degrees Celsius. Referring to FIG. 2a, actual measurement data 211 indicates the actual measured value of the battery pack capacity according to the number of discharges, and fitted data 212, 213, 214, and 215 may indicate the average change for each section of the actual measurement data 211. The sections of the actual measurement data 211 may be divided by points where the actual measurement value fluctuates sharply (hereinafter, referred to as fluctuation points). The battery efficiency database may be generated based on data 212, among the fitted data 212, 213, 214, and 215, where the SoH of the battery pack is equal to or greater than a predetermined standard (e.g., 80%). For example, the battery efficiency database may be generated based on the ratio (or percentile) of available capacity to actual capacity obtained from data 212 where the SoH is equal to or greater than a predetermined standard (e.g., 80%). For example, when the DoD of a battery pack is discharged from 0% to 100%, the available capacity of the battery pack at minus 10 degrees can be 83% of the actual capacity.

[0058] FIG. 2b shows a graph of the capacity and number of discharges obtained while discharging the DoD of a battery pack from 0% to 100% at 25°C. Referring to FIG. 2b, actual measurement data 221 indicates the actual measured value of the capacity of the battery pack according to the number of discharges, and fitted data (222-229) may indicate the average change in each section of the actual measurement data 221. The battery efficiency database may be generated based on data (222-229) among the fitted data (222-229) in which the SoH of the battery pack is equal to or greater than a predetermined standard (e.g., 80%). For example, when the DoD of the battery pack is discharged from 0% to 100%, the available capacity of the battery pack at 25°C may indicate 100% of the actual capacity.

[0059] FIG. 2c shows a graph of the capacity and number of discharges obtained while discharging the DoD of the battery pack from 0% to 100% at 45°C. Referring to FIG. 2c, actual measurement data 231 indicates the actual measured value of the battery pack capacity according to the number of discharges, and fitted data (232-236) may indicate the average change in each section of the actual measurement data 231. The battery efficiency database may be generated based on the fitted data (232-236) in which the SoH of the battery pack is equal to or greater than a predetermined standard (e.g., 80%). For example, when the DoD of the battery pack is discharged from 0% to 100%, the available capacity of the battery pack at 45°C may be 103% of the actual capacity.

[0060] In one embodiment, the battery efficiency database can be shown as in Table 1 below. [Table 1]

[0061] Referring to Table 1, the battery efficiency database may include information regarding the efficiency of the battery pack as a function of temperature when discharging the battery pack DoD from 0% to 100%.

[0062] Depending on the embodiment, the battery efficiency database may include information on the efficiency of the battery pack as a function of temperature obtained not only under conditions where the DoD of the battery pack is discharged from 0% to 100%, but also under other conditions (e.g., 30% to 80%, 0% to 80%, 30% to 100%, etc.).

[0063] According to an embodiment, the battery efficiency database may include information on the efficiency as a function of the temperature of the battery pack obtained by different SoHs of the battery pack. For example, the battery efficiency database may further include information on the efficiency as a function of the temperature of the battery pack obtained when the SoH of the battery pack is 100%, information on the efficiency as a function of the temperature of the battery pack obtained when the SoH is 95%, information on the efficiency as a function of the temperature of the battery pack obtained when the SoH is 90%, etc.

[0064] In one embodiment, the relational expression may be a polynomial function with a maximum degree of 2 that is generated based on the temperature-specific efficiency information of the battery efficiency database, such as Table 1. Referring to FIG. 3, graph 311 based on the fitted data of the battery efficiency database may be changed to graph 315 based on a polynomial function with a maximum degree of 2 by the relational expression.

[0065] For example, the relational expression can be expressed as the following Equation 1.

number

[0066] Here, the relation Q ratio can be expressed as a polynomial function with a maximum degree of 2, and the coefficients (a, b, c) may be determined based on a battery efficiency database such as Table 1. Here, T may be temperature. For example, a is -3.11*10 -3 and b is 5.217*10 -1 and c can be -1.156*10.

[0067] In one embodiment, the calculation unit 160 may determine the relational equation based on a battery efficiency database for the battery pack 103. For example, the calculation unit 160 may select a relational equation corresponding to the current SoH of the battery pack 103 from among a plurality of relational equations.

[0068] In one embodiment, the calculation unit 160 may calculate the efficiency of the battery pack 103 using the relational expression determined within a predetermined temperature range. Here, the predetermined temperature range may be −40 degrees to 80 degrees.

[0069] In one embodiment, the calculation unit 160 can calculate the efficiency of the battery pack 103 of the electric vehicle 101 based on the usage data and weather forecast data. For example, the calculation unit 160 can calculate the efficiency of the battery pack 103 based on the next usage time and weather forecast data. The calculation unit 160 can 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 can determine the temperature of areas to be passed through along the next driving route and calculate the efficiency of the battery pack 103 based on the determined temperature.

[0070] In one embodiment, the calculation unit 160 can calculate the driving range of the electric vehicle 101 based on the state of health (SoH) of the battery pack 103 and the efficiency of the battery pack 103. For example, the calculation unit 160 can identify the capacity according to the SoH of the battery pack 103 and determine the actual available capacity based on the SoC and the efficiency. The calculation unit 160 can then calculate the driving range of the electric vehicle 101 by multiplying the available capacity by the power cost.

[0071] In one embodiment, the calculation unit 160 can calculate the driving distance of the electric vehicle 101 based on the next usage time and weather forecast data. For example, the calculation unit 160 can calculate the driving distance of the electric vehicle 101 by multiplying the actual available capacity by the electricity cost according to the temperature of the next usage time.

[0072] In one embodiment, the calculation unit 160 can calculate the driving distance of the electric vehicle 101 based on the next driving route and weather forecast data. For example, the calculation unit 160 can calculate the driving distance of the electric vehicle 101 by multiplying the actual available capacity by an electricity cost according to the temperature of the area that will be passed through along the next driving route.

[0073] In one embodiment, the calculation unit 160 can calculate the remaining driving 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 can identify the capacity according to the SoH of the battery pack 103 and determine the actual available capacity based on the SoC and the efficiency. The calculation unit 160 can then calculate the remaining driving time of the electric vehicle 101 by multiplying the actual available capacity by the discharge rate.

[0074] In one embodiment, the calculation unit 160 can calculate the remaining driving time of the electric vehicle 101 based on the discharge rate and the next driving route. For example, the calculation unit 160 can calculate the remaining driving time of the electric vehicle 101 by multiplying the actual available capacity by the discharge rate according to the area to be passed through along the next driving route.

[0075] 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 an external device (e.g., a user) of the battery efficiency calculation apparatus 100. In one embodiment, the display unit 170 may be 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 as a touch screen that senses touch and / or proximity touch (or hover) input using a part of the user's body (e.g., a finger) or an input device (e.g., a stylus pen). In one embodiment, the display unit 170 may include a touch sensor configured to sense a touch or a pressure sensor configured to measure the strength of a force generated by the touch.

[0076] In one embodiment, display unit 170 can display the calculated efficiency, the calculated remaining driving distance, and the calculated remaining driving time.

[0077] FIG. 4a illustrates an example of a UI (user interface) 410 displayed by the battery efficiency calculation apparatus 100 according to an embodiment of the present disclosure.

[0078] 4a, UI 410 may display today's efficiency (e.g., 26%), tomorrow's efficiency, and the efficiency for the day after tomorrow. The efficiency displayed on UI 410 may be calculated according to temperature. In one embodiment, the efficiency displayed on UI 410 may be the efficiency at a representative temperature for that date (e.g., the temperature at noon or the temperature at the expected time of travel).

[0079] FIG. 4b illustrates an example UI 420 displayed by the battery efficiency calculation apparatus 100 according to an embodiment of the present disclosure.

[0080] 4b, UI 420 may display graphs 421, 422, and 423 showing changes in efficiency during a run at 17:30. In UI 420, graph 421 may show actual efficiency. In UI 420, graphs 422 and 423 may show upper and lower bounds on expected efficiency. For example, the upper and lower bounds on efficiency may be determined based on upper and lower bounds on temperature.

[0081] FIG. 5 is a flowchart illustrating a method of operation of the battery efficiency calculation apparatus 100 according to an embodiment of the present disclosure.

[0082] 5, in operation 510, the battery efficiency calculation apparatus 100 may collect usage data about the electric vehicle 101. In one embodiment, the usage data may include information about the location information of the electric vehicle 101, driving information (driving time, driving route), electricity consumption during driving, and the discharge rate (or C-rate) of the battery pack 103.

[0083] In operation 520, the battery efficiency calculation apparatus 100 may obtain weather forecast data. In one embodiment, the weather forecast data may include information about weather by time period (e.g., information about temperature, amount of rainfall, amount of snowfall, wind speed, etc.) and weather by region.

[0084] In operation 530 , the battery efficiency calculation device 100 may calculate the efficiency of the battery pack 103 of the electric vehicle 101 .

[0085] In one embodiment, the battery efficiency calculation apparatus 100 can analyze a usage pattern of the electric vehicle 101 based on the usage data. In one embodiment, the battery efficiency calculation apparatus 100 can predict the next usage time and / or the next driving route of the electric vehicle 101 based on the usage pattern.

[0086] 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 weather forecast data, where the efficiency can indicate the rate of change of the available capacity that changes with temperature.

[0087] 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 usage data and weather forecast data. For example, the battery efficiency calculation device 100 can calculate the efficiency of the battery pack 103 based on the next usage time and weather forecast data. The battery efficiency calculation device 100 can determine the temperature during 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 can determine the temperatures of areas that will be passed through along the next driving route and calculate the efficiency of the battery pack 103 based on the determined temperature.

[0088] The battery efficiency calculation device 100 can then calculate the driving distance and / or driving time of the electric vehicle 101 based on the efficiency.

Claims

1. a data collection unit that collects usage data about the electric vehicle; a weather data acquisition unit that acquires weather forecast data from an external server; a calculation unit that calculates the efficiency of the battery of the electric vehicle based on the usage data and the weather forecast data.

2. a pattern analysis unit that analyzes a usage pattern of the electric vehicle based on the usage data; a prediction unit that predicts the next usage time of the electric vehicle based on the usage pattern, The battery efficiency calculation device according to claim 1 , wherein the calculation unit calculates the efficiency of the battery based on the next usage time and the weather forecast data.

3. the prediction unit predicts a next driving route of the electric vehicle based on the usage pattern; The battery efficiency calculation device according to claim 2 , wherein the calculation unit calculates the efficiency of the battery based on the travel route.

4. The battery efficiency calculation device according to claim 1 , further comprising a display unit for displaying 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 for 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 with a maximum degree of two 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 a state of health (SoH) of the battery.

9. The battery efficiency calculation device according to claim 1 , wherein the calculation unit calculates a driving range of the electric vehicle based on a state of health (SoH) of the battery and the efficiency of the battery.

10. a discharge rate analysis unit that analyzes a discharge rate of the battery of the electric vehicle based on the usage data; The battery efficiency calculation device according to claim 1 , wherein the calculation unit calculates a running time of the electric vehicle based on the discharge rate and the efficiency of the battery.

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

12. analyzing a usage pattern of the electric vehicle based on the usage data; and further comprising an operation of predicting a next time when the electric vehicle will be used based on the usage pattern; The operation of calculating the efficiency of the battery includes: The method of claim 11 , including calculating the efficiency of the battery based on the next usage time and the weather forecast data.

13. further comprising an operation of predicting a next driving route of the electric vehicle based on the usage pattern; The operation of calculating the efficiency of the battery includes: The method of claim 12 , further comprising calculating the efficiency of the battery based on the traveled route.

14. The method of claim 11 further comprising the act of displaying the calculated efficiency.

15. The operation of calculating the efficiency of the battery includes: determining a relationship based on a battery efficiency database for the battery; and The method of claim 11 further comprising the act of calculating the efficiency of the battery based on the relationship.

16. 16. The method of claim 15, wherein the relationship is a polynomial function with temperature of highest degree two.

17. The operation of calculating the efficiency of the battery includes: The method of claim 15 further comprising the act of calculating the efficiency of the battery using the relationship within a predetermined temperature range.

18. The operation of determining the relational expression includes: The method of claim 15 further comprising determining the relationship based on a state of health (SoH) of the battery.

19. The operation of calculating the efficiency of the battery includes: The method of claim 11 further comprising calculating a driving range of the electric vehicle based on a state of health (SoH) of the battery and the efficiency of the battery.

20. further comprising the operation of analyzing a discharge rate of the battery of the electric vehicle based on the usage data; The operation of calculating the efficiency of the battery includes: The method of claim 11 further comprising the act of calculating a driving time for the electric vehicle based on the discharge rate and the efficiency of the battery.

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