Nap point selection method and nap point selection system
The nap point selection method optimizes electric vehicle route planning by calculating power consumption and degradation to select nap points with low energy use and degradation, addressing battery concerns during long stops.
Patent Information
- Application Number
- JP2022050284
- Authority / Receiving Office
- JP · JP
- Patent Type
- Patents
- Current Assignee / Owner
- Filing Date
- 2022-03-25
- Publication Date
- 2026-02-16
- Estimated Expiration
- 2042-03-25
AI Technical Summary
The power consumption and battery degradation of electric vehicles while using air conditioning during long stops vary with the surrounding environment, potentially exceeding expectations and causing battery issues.
A nap point selection method and system that calculates power consumption and battery degradation based on outside temperature data to select nap points with low power consumption and degradation, using a four-quadrant matrix to optimize route planning.
Reduces power consumption and battery deterioration by selecting nap points that minimize these factors, enhancing battery health and efficiency during long stops.
Smart Images

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Abstract
Description
[Technical Field]
[0001] The present invention relates to a method and system for selecting a nap point along a vehicle's travel route. [Background technology]
[0002] When driving long distances on expressways, users may stop their vehicles for long periods of time to rest, such as to take a nap or sleep overnight in their vehicles at service areas (SA) or parking areas (PA).To ensure comfort inside the vehicle, users may use air conditioning systems during long periods of stoppage.
[0003] Electric vehicles, hybrid vehicles, and other electrically powered vehicles are equipped with batteries for running the vehicle, and unlike engine-powered vehicles, electric vehicles do not emit noise or exhaust fumes from idling when using the air conditioning system while parked, allowing passengers to take a comfortable nap. However, operating the air conditioning system for long periods of time increases the amount of power consumed by the battery.
[0004] In order to reduce the amount of battery power consumed by operating the air conditioning system while the vehicle is stopped, Patent Document 1 describes a vehicle system that displays information about facilities with external power supplies on an in-vehicle display when the air conditioning system is predicted to operate while the vehicle is stopped for an extended period of time. This system predicts operation of the air conditioning system while the vehicle is stopped based on outside temperature data, and when operation of the air conditioning system is predicted, prioritizes displaying information about facilities that have external power supplies capable of charging the battery over information about other facilities. [Prior art documents] [Patent documents]
[0005] [Patent Document 1] Japanese Patent Application Publication No. 2019-22377 Summary of the Invention [Problem to be solved by the invention]
[0006] The amount of power consumed by the battery due to the operation of the air conditioning system while the vehicle is stopped varies depending on the surrounding environment, such as the outside temperature at the stopping point for a nap. Therefore, depending on the location of the stopping point along the driving route, more power than expected may be required, and there are concerns that battery degradation may occur due to outputting power for a long period of time in a harsh environment.
[0007] The present invention has been made in consideration of the above-mentioned problems, and aims to provide a nap point selection method and a nap point selection system that can select nap points that can reduce the power consumption and deterioration of the battery used to run the vehicle. [Means for solving the problem]
[0008] In order to achieve the above-mentioned object, one embodiment of the present invention is a nap point selection method for selecting nap points along a driving route in an electric vehicle equipped with a battery for vehicle operation and an air conditioning unit, and is characterized by including: a selection process for selecting multiple nap points along the driving route; an outside temperature acquisition process for acquiring outside temperature data for each selected nap point; a power consumption calculation process for calculating the amount of power consumption of the battery when the air conditioning unit is operated for a predetermined period of time at each nap point based on the outside temperature data; a battery deterioration calculation process for calculating the degree of deterioration of the battery at each nap point based on the outside temperature data; and a selection process for selecting from each nap point a nap point with low battery power consumption and / or deterioration level based on the calculated power consumption and deterioration level.
[0009] In order to achieve the above object, one embodiment of the present invention provides a nap point selection system that is mounted on an electric vehicle equipped with a battery for vehicle operation and an air conditioning device, and that selects nap points along a driving route, the system comprising: a communication device that acquires outside air temperature data from outside the electric vehicle; batteryand a control unit connected to the air conditioning device and the communication device, wherein the control unit includes a selection unit that selects a plurality of nap points along the driving route, a power consumption calculation unit that calculates the amount of power consumption of the battery when the air conditioning device is operated for a predetermined time at each nap point based on the acquired outside temperature data, a battery deterioration calculation unit that calculates the degree of deterioration of the battery at each nap point based on the outside temperature data, and a selection unit that selects a nap point from each nap point that has low power consumption and / or low degree of deterioration of the battery based on the calculated power consumption and deterioration degree. [Effects of the Invention]
[0010] The nap point selection method and system according to the present invention can propose nap points that can reduce the amount of power consumption and deterioration of the battery used to run the vehicle. [Brief explanation of the drawings]
[0011] [Figure 1] 1 is a diagram illustrating the configuration of a nap point selection system according to one embodiment of the present invention. [Figure 2] FIG. 10 is a diagram illustrating patterns of driving routes with different nap points. [Figure 3] 1 is a map showing the relationship between temperature and state of charge used to calculate the amount of battery deterioration. [Figure 4] FIG. 10 is a diagram showing the amount of power consumption and the amount of battery deterioration for each pattern of different nap points along a driving route. [Figure 5] FIG. 10 is an explanatory diagram of quadrants created based on patterns A2, B2, C2, and D2. [Figure 6A] 10 is a flowchart of a method for selecting a nap point. [Figure 6B] 10 is a flowchart of a method for selecting a nap point. [Figure 7]FIG. 10 is an explanatory diagram of quadrants created based on patterns A3, B3, C3, and D3. DETAILED DESCRIPTION OF THE INVENTION
[0012] FIG. 1 is a diagram illustrating the configuration of a nap point selection system 10 according to one embodiment of the present invention. The nap point selection system 10 can be applied to a vehicle 11 equipped with a secondary battery 12 (hereinafter also simply referred to as "battery 12") as a driving source for vehicle travel, such as an electric vehicle, a hybrid vehicle, or a plug-in hybrid vehicle. In this embodiment, the vehicle 11 equipped with the nap point selection system 10 is an electric vehicle that does not have a driving engine.
[0013] The nap point selection system 10 is a system that selects a location (nap point) where a user can stop the vehicle 11 for an extended period of time to take a rest inside the vehicle cabin, such as a location to take a nap along the driving route between a departure point and a destination when driving a long distance from a departure point to a desired destination. The nap point is selected from among multiple nap points in different locations based on the predicted power consumption and / or degradation level of the battery 12 when the air conditioner 14 is operated for a predetermined period of time. The configuration of the nap point selection system 10 will be described in detail below.
[0014] 1, nap point selection system 10 of this embodiment includes battery 12 for running the vehicle mounted on vehicle 11, air conditioner 14, display 16, input unit 17 for inputting information, communication device 18 capable of communicating with server 30 outside the vehicle, and control unit 20. Control unit 20 includes memory unit 21, selection unit 22, remaining battery capacity calculation unit 23, power consumption calculation unit 24, battery degradation level calculation unit 25, quadrant creation unit 26, and selection unit 27.
[0015] Battery 12 may be, for example, a lithium ion secondary battery with a rated voltage of 200 V or 250 V. Battery 12 is connected to a charging unit (not shown) and is configured to be rechargeable by connecting to an external power supply device via the charging unit at a charging station or the like.
[0016] The air conditioner 14 is a device that conditions the air inside the vehicle cabin, and is configured to be operable by receiving power from the battery 12 .
[0017] The communication device 18 is, for example, a DCM (Data Communication Module) or the like, and is configured to be able to communicate with an information processing device installed outside the vehicle 11. In this embodiment, the communication device 18 is configured to be able to communicate with a server 30, which is an information processing device installed in an information processing center outside the vehicle 11.
[0018] The server 30 includes a receiving unit 32 that receives information and a transmitting unit 34 that transmits information to the outside. The server 30 transmits data related to weather and outside temperature received from, for example, a meteorological satellite to the vehicle 11 from the transmitting unit 34. The nap spot selection system 10 inputs the data received from the server 30 to the control unit 20 via the communication device 18. The nap spot selection system 10 can also acquire map data and the like stored in the server 30 via the communication device 18. The acquired map data can be stored in the memory unit 21 of the control unit 20 or displayed on the display 16.
[0019] The display 16 is mounted in front of the driver's seat inside the vehicle cabin, and displays information relating to the vehicle 11 and other information. In this embodiment, a touch panel is overlaid on the display screen of the display 16. The touch panel constitutes an input unit 17 that can input information. A user can input the departure point and arrival point of the vehicle 11 using the input unit 17. The departure point and arrival point can be input, for example, by displaying map data on the display 16 based on map data acquired by the control unit 20, and inputting the departure point and arrival point using the input unit 17, or by inputting the addresses of the departure point and destination.
[0020] The control unit 20 controls the devices mounted on the vehicle 11, including the nap point selection system 10. The control unit 20 is configured to have, for example, information processing means such as a central processing unit (CPU) or an application specific integrated circuit (ASIC), storage means such as RAM or ROM, an input / output interface, etc. The control unit 20 is electrically connected to the battery 12, the air conditioner 14, the display 16, the input unit 17, and the communication device 18.
[0021] The memory section 21 of the control unit 20 stores programs and the like for controlling each connected device. The memory section 21 also stores map data (see FIG. 3) showing the relationship between temperature and the state of charge (SOC) of the battery 12, which is used by the battery deterioration degree calculation section 25 to calculate the deterioration level of the battery 12.
[0022] The selection unit 22 selects a plurality of nap points along the driving route between the departure point and destination point of the vehicle 11 input by the input unit 17. In the nap point selection system 10 of this embodiment, when a highway is included along the driving route, service areas and parking areas on the highway are selected as nap points.
[0023] FIG. 2 is a diagram illustrating patterns of driving routes with different nap points. For example, if a driving route includes a highway and points A and B are service areas or parking areas on the highway, the selection unit 22 selects points A and B as nap points. The type of nap point can also be set by the user using the input unit 17. In the example shown in FIG. 2, point A is closer to the departure point than point B. Then, the selection unit 22 selects two patterns as nap patterns A1 and B1 for the driving route: pattern A1 in which the vehicle departs, takes a nap at point A, and then heads toward the destination; and pattern B1 in which the vehicle passes through point A, takes a nap at point B, and then heads toward the destination. Two or more nap patterns are selected depending on the number of nap points.
[0024] The remaining battery capacity calculation unit 23 calculates the SOC (State Of Charge), which is the state of charge of the battery 12. The SOC is calculated based on the output of a battery sensor provided in the battery 12.
[0025] The power consumption calculation unit 24 calculates the amount of power consumed by the battery 12. In this embodiment, the power consumption calculation unit 24 calculates the amount of power consumed by the battery 12 when the air conditioner 14 is operated for a predetermined time at each nap point selected by the selection unit 22, based on outside air temperature data acquired via the communication device 18. The conditions (e.g., air conditioning temperature) for operating the air conditioner 14 at the nap points can be set in advance by the user using the input unit 17 when setting the driving route. The time (predetermined time) for operating the air conditioner 14 is the stopping time at the nap point, and can be input by the user using the input unit 17 when setting the driving route. As an example, the predetermined time can be set to 3 hours, the air conditioning temperature of the air conditioner 14 to 22°C, and the air outlet mode of the air conditioner 14 to a predetermined outlet mode suitable for a nap.
[0026] In the example shown in Fig. 2, in pattern A1, outside air temperature data at point A, which is a nap point, is acquired, and the amount of power consumed by battery 12 due to operation of air conditioner 14 at point A is calculated based on this outside air temperature data, a preset stopping time (predetermined time), and the operating conditions of air conditioner 14. Similarly, in pattern B1, outside air temperature data at point B is acquired, and the amount of power consumed by battery 12 due to operation of air conditioner 14 at point B is calculated based on this outside air temperature data, a preset predetermined time, and the operating conditions of air conditioner 14. In Fig. 2, the amount of power consumed at point A is calculated to be 5 kWh, and the amount of power consumed at point B is calculated to be 7 kWh.
[0027] Furthermore, the power consumption calculation unit 24 calculates the amount of power consumed by the battery 12 when the vehicle 11 travels along the travel route, i.e., the amount of power consumed by the battery 12 when the vehicle 11 travels along the travel route before and after the nap point for each travel route pattern. In the example shown in Fig. 2, in pattern A1, the amount of power consumed by the vehicle traveling from the departure point to point A is calculated to be 20 kWh, and the amount of power consumed by the vehicle traveling from point A to the destination is calculated to be 5 kW. In pattern B1, the amount of power consumed by the vehicle traveling from the departure point to point B is calculated to be 22 kWh, and the amount of power consumed by the vehicle traveling from point B to the destination is calculated to be 3 kW.
[0028] The battery degradation level calculation unit 25 calculates the degradation level of the battery 12 at each nap point based on the outside temperature data at each nap point. Specifically, the degradation level of the battery 12 is calculated based on the temperature of the battery 12 when the air conditioner 14 is operating, estimated based on the outside temperature data, and the SOC of the battery 12 at each nap point. In this embodiment, the battery degradation level calculation unit 25 calculates the amount of change in the SOH (State of Health), which indicates the degradation state of the battery 12, as the degradation level. The SOC of the battery 12 at each nap point can be calculated, for example, by calculating the SOC of the battery 12 at the departure point using the remaining battery capacity calculation unit 23 and then calculating the SOC of the battery 12 when the vehicle travels from the SOC at the departure point to the nap point. In the example shown in FIG. 2, in pattern A1, the temperature of the battery 12 at point A is calculated to be 26°C and the SOC is 53%, and in pattern B1, the temperature of the battery 12 at point B is calculated to be 28°C and the SOC is 47%.
[0029] The battery degradation level calculation unit 25 calculates the degradation amount (ΔSOH) of the battery 12 based on the outside air temperature data and SOC at the nap point, from map data that shows the relationship between a preset temperature and SOC stored in the memory unit 21. FIG. 3 is an example of a map showing the relationship between the temperature and SOC of the battery 12. In the example shown in FIG. 2, in pattern A1, the degradation amount (ΔSOH) of the battery 12 when the air conditioner 14 is operated for a predetermined time at point A is calculated to be −0.075% from the temperature of 26°C and the SOC of 53% using the map shown in FIG. 3. In pattern B1, the degradation amount (ΔSOH) of the battery 12 at point B is calculated to be −0.10% from the temperature of 28°C and the SOC of 47%.
[0030] The quadrant creation unit 26 creates a four-quadrant matrix in which the amount of power consumption and the degree of degradation of the battery 12 at each nap point are divided into four quadrants based on the degree of power consumption and the degree of battery degradation. In this embodiment, the quadrant creation unit 26 plots the amount of power consumption and the degree of degradation for each pattern calculated by the power consumption calculation unit 24 and the degradation degree calculation unit 25 on a graph showing the amount of power consumption and the degree of battery degradation, and divides the plotted graph into four quadrants based on the degree of power consumption and the degree of battery degradation, respectively.
[0031] The procedure for creating a four-quadrant matrix by the quadrant creation unit 26 will be described below with reference to Figures 4 and 5. Figure 4 is a diagram showing the power consumption and battery degradation levels for each pattern with different nap points calculated by the power consumption calculation unit 24 and the degradation level calculation unit 25. The example shown in Figure 4 has a different driving route from the example shown in Figure 2. Figure 4 shows the power consumption and degradation levels of the battery 12 for four patterns A2, B2, C2, and D2 with different nap points for one driving route. Although there may be five or more patterns, the following description will be based on four patterns A2, B2, C2, and D2 for ease of understanding.
[0032] The quadrant creation unit 26 creates a graph with the power consumption and the battery degradation amount as axes, as shown in Fig. 5. In Fig. 5, the horizontal axis represents the power consumption, and the vertical axis represents the absolute value of ΔSOH, which is the degradation amount. Next, the power consumption and the battery degradation amount of the battery 12 for each pattern are plotted on this graph. In Fig. 5, the plotted points for pattern A2, pattern B2, pattern C2, and pattern D2 are indicated as points A2, B2, C2, and D2, respectively.
[0033] Next, the quadrant creation unit 26 calculates a reference point R where the sum of the distances to points A2, B2, C2, and D2 is minimum. In FIG. 5, the reference point R is the point where the value of "R_A2 + R_B2 + R_C2 + R_D2" (R_A2 is the distance from point R to point A2) is minimum. Once the reference point R is calculated, a graph is created with the reference point R as the center point, the horizontal axis representing power consumption, and the vertical axis representing degradation. This graph is called a four-quadrant matrix. In the four-quadrant matrix shown in FIG. 5, the upper right, upper left, lower left, and lower right of the reference point R are the first quadrant I, the second quadrant II, the third quadrant III, and the fourth quadrant IV, respectively. The first quadrant I is a region where power consumption and battery degradation are high, the second quadrant II is a region where power consumption is low and battery degradation is high, the third quadrant III is a region where power consumption and battery degradation are low, and the fourth quadrant IV is a region where power consumption is high and battery degradation is low. In the example shown in FIG. 5, point A2 is plotted in the third quadrant III, point B2 in the first quadrant I, point C2 in the fourth quadrant, and point D2 in the second quadrant II.
[0034] Selection unit 27 selects, from each of the selected nap points, a nap point with low power consumption and / or low degradation of battery 12, based on the power consumption and degradation level calculated by power consumption calculation unit 24 and battery degradation level calculation unit 25. In this embodiment, selection unit 27 selects a travel route pattern having nap points with low power consumption and / or low degradation level.
[0035] Next, a method for selecting nap points by the nap point selection system 10 will be described with reference to the flowcharts of FIGS. 6A and 6B.
[0036] When the rest point selection system 10 is started and the departure point and destination point are set by the input unit 17 (step S11), the control unit 20 selects a driving route that includes an expressway (step S12). If there are multiple driving routes, one driving route is selected either manually by the user or automatically by the control unit 20. The selection unit 22 selects multiple nap points along the selected driving route, i.e., multiple candidate nap locations such as service areas and parking areas (selection step), and selects driving route patterns with different nap points according to the selected multiple nap points (step S13).
[0037] Once the nap points (candidate nap locations) have been selected, in the next step S14, the rest point selection system 10 acquires outside temperature data at each nap point via the communication unit 18 (outside temperature acquisition step), and calculates the temperature and SOC of the battery 12 at each nap point (outside temperature acquisition step). The outside temperature data includes predicted temperature data upon arrival at the candidate nap location.
[0038] In the next step S15, the power consumption calculation unit 24 calculates the amount of power consumed by the battery 12 when the air conditioner 14 is operated for a predetermined time at each nap point (power consumption calculation step), and the battery degradation level calculation unit 25 calculates the degradation level of the battery 12 (battery degradation level calculation step). In the next step S16, the power consumption calculation unit 24 calculates the amount of power consumed by the battery 12 due to traveling along the travel route (power consumption calculation step). Note that the order of the power consumption calculation step and the battery degradation level calculation step may be reversed; for example, the amount of power consumed by the battery 12 due to vehicle traveling may be calculated before the amount of power consumed at the nap points and the amount of battery degradation.
[0039] In the next step S17, the power consumption calculation unit 24 and the battery deterioration level calculation unit 25 calculate the amount of power consumption and the amount of battery deterioration due to the operation of the air conditioner 14 and the vehicle running at the nap points for each pattern with different nap points.
[0040] After calculating the power consumption and battery degradation for each pattern, quadrant creation unit 26 creates a graph of the battery degradation and power consumption (step S18). Next, quadrant creation unit 26 calculates a reference point R from each point of each pattern plotted on the graph (step S19). After calculating reference point R, quadrant creation unit 26 divides the graph into four quadrants to create a four-quadrant matrix (step S20).
[0041] In the next step S21, the selection unit 27 removes patterns belonging to the first quadrant I (that is, patterns in which the amount of power consumption and the amount of battery degradation are high) from the four-quadrant matrix.
[0042] In the next step S22, the selection unit 27 determines whether or not there is a pattern among the remaining patterns that has both the minimum power consumption and the minimum level of battery degradation. If there is a pattern with the minimum power consumption and the minimum level of battery degradation (step S22: Yes), the selection unit 27 selects the pattern with the minimum power consumption and the minimum level of battery degradation (step S23). In the example shown in FIG. 5, among points A2, B2, C2, and D2, point A1 has a power consumption and a battery degradation level lower than the other points B2, C2, and D2. Thus, if point A2 with the minimum power consumption and the minimum level of battery degradation is in the third quadrant III, the selection unit 27 selects pattern A2 that constitutes point A2. This allows nap points included in the selected pattern A2 to be selected as nap points that can reduce the power consumption and the degradation level of battery 12.
[0043] In step S22, if there is no pattern with the minimum power consumption and battery deterioration level (step S22: No), the selection unit 27 selects a pattern that has a point in any of the second quadrant II, third quadrant III, or fourth quadrant IV from the four-quadrant matrix (step S24).
[0044] FIG. 7 is a diagram illustrating a four-quadrant matrix created based on different nap patterns A3, B3, C3, and D3 for one driving route, and explains the selection method in step S24. In FIG. 7, four points A3, B3, C3, and D3 correspond to four patterns A3, B3, C3, and D3. In the example shown in FIG. 7, among points A3, B3, C3, and D3, point D3, which minimizes power consumption, is located in second quadrant II, and point C3, which minimizes battery degradation, is located in fourth quadrant IV. Point A3, located in third quadrant III, is a point where both power consumption and battery degradation are balanced. In this case, the selection unit 27 selects a pattern that is located in either second quadrant II, third quadrant III, or fourth quadrant IV based on a preset priority order. For example, if minimizing power consumption is prioritized, pattern D3, which minimizes power consumption, is selected. If minimizing battery degradation is prioritized, pattern C3, which minimizes battery degradation, is selected. Furthermore, when priority is given to keeping the power consumption and the degree of battery deterioration in a balanced manner, pattern A3 is selected. These priorities can be determined manually by the user using input unit 17, or automatically by selection unit 27 in accordance with a preset priority program.
[0045] As an example of determining the priority order when the selection unit 27 makes a selection, for example, when the SOC of the battery 12 at the departure point is equal to or lower than a predetermined value, the selection unit 27 may set a priority to reducing the amount of power consumption. Also, for example, when the SOH of the battery 12 is equal to or lower than a predetermined value, the selection unit 27 may set a priority to reducing the degree of battery deterioration. Also, when the SOC and SOH of the battery 12 are both higher than a predetermined value, or when the SOC and SOH are both lower than a predetermined value, the selection unit 27 may set a priority to balance.
[0046] When one pattern is selected by the selection unit 27 in step S23 or step S24, nap points on the set travel route are determined (step S25). By executing the determined travel / nap schedule (step S26), the amount of power consumption and / or deterioration of the battery 12 from the departure point to the destination can be reduced.
[0047] As described above, the nap point selection system and nap point selection of this embodiment can propose nap points along a travel route from a set departure point to a destination that can reduce the amount of power consumption and the degree of degradation of battery 12. Furthermore, by using quadrant creation unit 26 to create a four-quadrant matrix based on the degree of power consumption and the degree of degradation of battery 12, nap points that can reduce the amount of power consumption and / or the degree of degradation can be efficiently selected from the points plotted in the four-quadrant matrix.
[0048] The nap point selection system 10 described above can also be applied to a hybrid vehicle equipped with an engine for running the vehicle as well as the battery 12 for running the vehicle. In such a case, the calculation of the amount of power consumed by the battery 12 due to the running of the vehicle 11 (step S16) can be omitted.
[0049] In the above-described embodiment, when the driving route includes an expressway, service areas and parking areas on the expressway are selected as nap points, but the driving route does not have to include an expressway. In such a case, the selection unit 22 can be configured to select locations or facilities along the driving route where the vehicle can stop for an extended period of time as nap points, or the user can select multiple nap points along the driving route and input them using the input unit 17.
[0050] Furthermore, nap point selection system 10 can be configured to select a pattern that includes two or more nap points on a driving route. In such a case, input unit 17 can be configured to preset the number of nap locations (number of nap points) on one driving route, as well as the distance and time interval to the next nap point.
[0051] The present invention is not limited to the above-described embodiment, and various modifications are possible without departing from the spirit of the invention. [Explanation of symbols]
[0052] 10 Nap Point Selection System 12 batteries 14 Air conditioner 16 Display 17 Input section 18 Communication Device 20 Control Unit 22 Selection Department 23 Battery remaining capacity calculation section 24 Power consumption calculation section 25 Battery deterioration degree calculation section 26 Quadrant Creation Section 27 Selection Department 30 servers
Claims
1. A method for selecting a nap point along a travel route of an electric vehicle equipped with a battery for vehicle travel and an air conditioning device, comprising: a selection step of selecting a plurality of nap points along the travel route; an outside temperature acquisition step of acquiring outside temperature data for each selected nap point; a power consumption calculation step of calculating the amount of power consumed by the battery when the air conditioner is operated for a predetermined time at each of the nap points based on the outside air temperature data; a battery deterioration level calculation step of calculating a deterioration level of the battery at each of the nap points based on the outside air temperature data; a selection step of selecting, from the nap points, a nap point with a low amount of power consumption and / or a low degree of deterioration of the battery based on the calculated amount of power consumption and the degree of deterioration; A method for selecting a nap point, comprising:
2. 2. The method for selecting a nap point according to claim 1, wherein the power consumption calculation step further calculates the amount of power consumed by the battery when traveling along the travel route.
3. a step of plotting the power consumption and the degree of deterioration calculated in the power consumption calculation step and the battery deterioration degree calculation step on a graph showing the power consumption and the degree of deterioration of the battery, and dividing the plotted graph into four quadrants based on the degree of power consumption and the degree of deterioration of the battery; 3. The nap point selection method according to claim 1, wherein the selection step selects a nap point from the four quadrants that is in a quadrant where the battery has a low power consumption and / or a low degree of deterioration.
4. A nap point selection system is mounted on an electric vehicle equipped with a battery for driving the vehicle and an air conditioning device, and selects nap points along a driving route, a communication device that acquires outside air temperature data from outside the electric vehicle; a control unit connected to the battery, the air conditioner, and the communication device, The control unit a selection unit that selects a plurality of nap points along the travel route; a power consumption calculation unit that calculates the amount of power consumed by the battery when the air conditioner is operated for a predetermined time at each of the nap points based on the acquired outside air temperature data; a battery deterioration level calculation unit that calculates a deterioration level of the battery at each of the nap points based on the outside air temperature data; a selection unit that selects, from the nap points, a nap point with a low amount of power consumption and / or a low degree of deterioration of the battery based on the calculated amount of power consumption and the degree of deterioration; A nap point selection system comprising:
5. The control unit a quadrant creation unit that plots the power consumption and the degradation level calculated by the power consumption calculation unit and the degradation level calculation unit on a graph showing the power consumption and the battery degradation level, and divides the plotted graph into four quadrants based on the level of the power consumption and the level of the battery degradation level; 5. The nap point selection system according to claim 4, wherein the selection unit selects a nap point from the four quadrants that is in a quadrant where the battery has a low power consumption and / or a low degree of deterioration.
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