Method and system for determining a vehicle charging policy, vehicle and computer program product

Abstract

The invention relates to a method for determining a charging strategy for a vehicle, comprising the following steps: during the travel of the vehicle (1), calculating a charging coefficient of the vehicle (1) on the basis of at least travel information of a user, charging station information and operating conditions of the vehicle, the charging coefficient is used for representing the necessary degree of the vehicle (1) going to the charging station (3) for charging under the current operation condition; a charging strategy of the vehicle (1) is determined at least on the basis of the calculated charging coefficient. The present application also relates to a system for determining a vehicle charging strategy, a vehicle comprising a system according to the present application, and a computer program product. According to the method and the device, the electric quantity level of the vehicle battery can be always automatically kept in a sufficient state in the travel process of the user, the mileage anxiety feeling of the user is effectively eliminated, and then the acceptability of the electric vehicle and the user experience feeling are improved.

Description

Technical Field

[0001] The present application relates to the field of vehicle batteries, and in particular to a method for determining a vehicle charging strategy, a system for determining a vehicle charging strategy, a vehicle comprising the system according to the present application, and a computer program product for at least assisting in implementing the steps of the method according to the present application. Background Art

[0002] Due to the limitation of battery capacity, the battery life of electric vehicles is always a concern for users during driving. Especially when the battery level of the vehicle is low, if there is no suitable charging station near the current location of the vehicle or the destination, or if there is not enough time to go to the charging station for charging according to the user's schedule, it is easy to cause anxiety among users, which greatly affects the user acceptance of electric vehicles.

[0003] Therefore, how to eliminate users' anxiety about the battery life of electric vehicles has become a technical problem that needs to be solved at present. Summary of the invention

[0004] The purpose of the present application is to provide a method for determining a vehicle charging strategy, a system for determining a vehicle charging strategy, a vehicle including the system according to the present application, and a computer program product, so as to at least partially solve the problems in the prior art.

[0005] According to a first aspect of the present application, a method for determining a vehicle charging strategy is provided, the method comprising the following steps:

[0006] - During the driving process of the vehicle, a charging coefficient of the vehicle is calculated based on at least the user's travel information, the charging station information and the operating condition of the vehicle, wherein the charging coefficient is used to characterize the degree of necessity of the vehicle to go to the charging station for charging under the current operating condition; and

[0007] - determining a charging strategy for the vehicle based at least on the calculated charging factor.

[0008] The core concept of the present application includes at least: evaluating the necessity of the vehicle going to a charging station for charging based on the user's travel information, charging station information and the vehicle's operating conditions, and flexibly formulating a vehicle charging strategy based on the evaluation results, thereby automatically maintaining a sufficient battery level in the vehicle during the user's journey, effectively eliminating the user's mileage anxiety, and thereby improving the acceptance of electric vehicles and user experience.

[0009] According to an optional embodiment of the present application, the user's itinerary information may include planned destination information and planned time information, wherein the planned destination information includes, for example, the vehicle's itinerary starting point, itinerary end point, and intermediate destinations between the itinerary starting point and the itinerary end point, and the planned time information includes, for example, the itinerary end point and the planned arrival time of each intermediate destination. Optionally, the user's itinerary information is obtained from the user's mobile terminal.

[0010] According to another optional embodiment of the present application, the operating condition of the vehicle includes, for example, the current location information of the vehicle, the current battery power level of the vehicle and / or the maximum distance that the vehicle can travel at the current battery power level, etc.

[0011] According to another optional embodiment of the present application, the charging station information includes, for example, location information of the charging station, and / or a change process of the idleness of the charging station over time, etc.

[0012] According to another optional embodiment of the present application, during the driving process of the vehicle, the charging coefficient of the vehicle can be calculated by the following formula in a preset calculation cycle:

[0013]

[0014] Among them, C j,i represents the charging factor during the trip at the i-th intermediate destination in the j-th calculation cycle, Q j represents the battery power level of the jth computing cycle, d j,i represents the distance from the vehicle to the i-th intermediate destination in the j-th calculation cycle, d max,j A represents the maximum distance that the vehicle can travel at the current battery power level in the jth calculation cycle. j,i represents the availability coefficient of the charging station at the i-th intermediate destination at the planned arrival time in the j-th calculation cycle, M i represents the existence coefficient of other charging stations within a predetermined distance range from the i-th intermediate destination, and w represents the weighting factor.

[0015] According to another optional embodiment of the present application, when the calculated charging coefficient exceeds a predetermined threshold, a charging strategy of going to a charging station for charging is determined, wherein the charging station is the charging station that is closest to the current location of the vehicle and can provide an unoccupied charging pile at the planned arrival time of the vehicle.

[0016] According to another optional embodiment of the present application, the method may further include:

[0017] - sending a notification message to the user regarding the determined charging strategy; and / or

[0018] According to another optional embodiment of the present application, the method may further include:

[0019] - Sending the vehicle's charging reservation information to the determined charging station.

[0020] According to a second aspect of the present application, a system for determining a vehicle charging strategy is provided, and the system may include the following components:

[0021] - a trip information acquisition unit, which is configured to acquire the user's trip information;

[0022] - a charging station interaction unit, which is configured to obtain charging station information;

[0023] - an operating condition acquisition unit configured to acquire the operating condition of the vehicle; and

[0024] - A control unit configured to perform the method according to the application.

[0025] According to another optional embodiment of the present application, the system may further include a notification unit configured to send notification information about the determined charging strategy to the user.

[0026] According to another optional embodiment of the present application, the charging station interaction unit may also be configured to send the charging reservation information of the vehicle to the determined charging station.

[0027] According to a third aspect of the present application, a vehicle is provided, which may include a system according to the present application.

[0028] According to a fourth aspect of the present application, a computer program product, such as a computer-readable program carrier, is provided, which contains or stores computer program instructions, and when the computer program instructions are executed by a processor, they at least assist in implementing the steps of the method described in the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] The principles, features and advantages of the present application may be better understood by describing the present application in more detail below with reference to the accompanying drawings. The accompanying drawings show:

[0030] Figure 1 A flowchart showing a method for determining a vehicle charging strategy according to an exemplary embodiment of the present application is shown;

[0031] Figure 2 A schematic diagram of a vehicle charging scenario according to an exemplary embodiment of the present application is shown;

[0032] Figure 3 A flowchart showing a method for determining a vehicle charging strategy according to another exemplary embodiment of the present application is shown;

[0033] Figure 4 A flowchart showing a method for determining a vehicle charging strategy according to another exemplary embodiment of the present application; and

[0034] Figure 5 A schematic block diagram of a system for determining a vehicle charging strategy according to an exemplary embodiment of the present application is shown. DETAILED DESCRIPTION

[0035] In order to make the technical problems, technical solutions and beneficial technical effects to be solved by the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and multiple exemplary embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application, rather than to limit the scope of protection of the present application.

[0036] Figure 1 A flowchart of a method for determining a vehicle charging strategy according to an exemplary embodiment of the present application is shown. The following exemplary embodiments describe the method according to the present application in more detail.

[0037] like Figure 1 As shown, the method may include steps S1 and S2. In step S1, during the driving process of the vehicle 1, the charging coefficient of the vehicle 1 may be calculated based on at least the user's travel information, the charging station information and the vehicle's operating conditions. In the sense of the present application, the charging coefficient is used to characterize the degree of necessity of the vehicle 1 going to the charging station for charging under the current operating conditions, wherein the higher the value of the charging coefficient, the higher the degree of necessity of the vehicle 1 going to the charging station for charging under the current operating conditions.

[0038] like Figure 2 In the schematic diagram of an exemplary vehicle charging scenario shown in FIG. 1 , the vehicle 1 can establish a communication connection with the user's mobile terminal device 2 through the trip information acquisition unit 11, and obtain the user's trip information from the user's mobile terminal 2. The user's trip information includes not only the planned destination information, such as the trip start point, the trip end point, and the intermediate destinations between the trip start point and the trip end point of the vehicle 1, but also the planned time information, such as the trip end point and the planned arrival time of each intermediate destination. Here, the intermediate destination can be, in particular, a place where the user plans to stay for a short time between the trip start point and the trip end point, or a place where the user plans to travel between the trip start point and the trip end point.

[0039] The operating condition of the vehicle 1 may include the current location information of the vehicle 1, which may be obtained through the positioning device of the vehicle 1. The operating condition of the vehicle 1 may also include the current battery power level of the vehicle 1, which may be obtained through the battery management system of the vehicle 1, and may optionally include the maximum distance that the vehicle 1 can travel at the current battery power level, which may be estimated based on the current battery power level of the vehicle 1.

[0040] The charging station information may include location information of the charging station, which may be obtained from map information of the navigation system of the vehicle 1. Figure 2 As shown, the vehicle 1 can also establish a communication connection with the control unit 31 of the charging station 3 through the charging station interaction unit 12, and obtain the change process of the idleness of the charging station 3 over time from the control unit 31. Here, the "idleness" can be expressed by the ratio of the number of unoccupied charging piles in the charging station 3 to the total number of all charging piles in the charging station 3. These unoccupied charging piles can provide battery charging services for the vehicle 1 after the vehicle 1 arrives at the charging station 3. During the operation of the charging station 3, the control unit 31 will collect the occupancy status of each charging pile, and optionally can also obtain the charging reservation information of the charging station, based on which the idleness of the charging station in the future time period can be estimated.

[0041] When the battery of vehicle 1 is fully charged, the charging factor of vehicle 1 can be set to zero. As the mileage of vehicle 1 increases, the battery power of vehicle 1 basically decreases gradually, except for the phase of energy recovery through braking, and the charging factor gradually increases. During the driving process of vehicle 1, the charging factor of vehicle 1 can be calculated in a preset calculation cycle, and its formula is, for example:

[0042]

[0043] Among them, C j,i represents the charging coefficient during the trip to the i-th intermediate destination in the j-th calculation cycle. The charging coefficient C can be recalculated in each calculation cycle, and the length of the calculation cycle can be adjusted according to actual needs; Q j represents the battery power level of the jth calculation cycle, which can be monitored by the battery management system of the vehicle 1. For example, the battery power level in the first calculation cycle is 70%, that is, Q 1 =0.7; d j,i represents the distance from vehicle 1 to the i-th intermediate destination in the j-th calculation cycle, for example, the distance d from vehicle 1 to the first intermediate destination in the first calculation cycle 1,1 =200km;d max,jrepresents the maximum distance that vehicle 1 can travel at the current battery power level in the jth calculation cycle, which can be estimated based on the battery power level in the jth calculation cycle. For example, the maximum distance d that vehicle 1 can travel at a battery power level of 70% in the first calculation cycle is max,1 Equal to 400km; A j,i A represents the availability coefficient of the charging station at the i-th intermediate destination at the planned arrival time in the j-th calculation cycle. For example, in the first calculation cycle, when vehicle 1 is scheduled to arrive at charging station 3, there are still multiple unoccupied charging piles available for use at charging station 3. Then the availability coefficient of charging station 3 can be set lower, such as A j,i =0.05; M i represents the existence coefficient of other charging stations within a predetermined distance range from the i-th intermediate destination. For example, there are multiple other charging stations within a predetermined distance range from the first intermediate destination. i =0; w represents a weight factor, which can be obtained as an empirical value after multiple experiments, for example, w=0.5.

[0044] Based on the above formula and parameter settings, the charging coefficient C of vehicle 1 during the first calculation cycle to the first intermediate destination is 1,1 The calculated value is 0.575. Next, the charging coefficient of vehicle 1 is calculated in the second calculation cycle, and so on.

[0045] In step S2, the charging strategy of the vehicle 1 can be determined based at least on the calculated charging coefficient. Since the calculated charging coefficient indicates the degree of necessity of the vehicle 1 to go to the charging station for charging under the current operating conditions, when the calculated charging coefficient exceeds a predetermined threshold, a charging strategy of going to the charging station 3 for charging can be determined to prevent the vehicle 1 from being unable to reach the end of the trip due to low battery power. Here, the charging station 3 is the charging station closest to the current position of the vehicle 1 and can provide unoccupied charging piles at the planned arrival time of the vehicle 1, wherein the location information of each charging station can be obtained from the map information of the navigation system of the vehicle 1, and the occupancy status of the charging piles of each charging station in the future time period can be obtained from the control unit of each charging station. According to the above formula, when the power level of the vehicle 1 drops to a certain extent, the charging coefficient of the vehicle 1 is high, and when the distance between the vehicle 1 and the charging station 3 closest to the current position of the vehicle 1 further increases, the charging coefficient of the vehicle 1 will continue to increase until it exceeds a predetermined threshold, such as 0.7.

[0046] According to the embodiments of the present application, the necessity of the vehicle going to a charging station for charging can be evaluated based on the user's travel information, charging station information and the vehicle's operating conditions, and a vehicle charging strategy can be flexibly formulated based on the evaluation results, thereby automatically maintaining a sufficient battery level at all times during the user's journey, effectively eliminating the user's mileage anxiety, and thereby improving the acceptance of electric vehicles and user experience.

[0047] Figure 3 FIG. 1 shows a flowchart of a method for determining a vehicle charging strategy according to another exemplary embodiment of the present application. Figure 1 The differences between the embodiments shown in FIG. 1 and FIG. 2 are shown in FIG. 3 , and the same steps are not described repeatedly for the sake of brevity.

[0048] like Figure 3 As shown, the method may further include step S3. In step S3, notification information about the determined charging strategy may be sent to the user. Here, for example, acoustic notification information may be sent to the user via an intelligent voice device, or optical notification information may be sent to the user via a head-up display, a central control display, and / or an instrument panel. Optionally, the location information of the determined charging station 3 and / or navigation information to the determined charging station 3 may also be shown to the user on a head-up display, a central control display, and / or an instrument panel.

[0049] Figure 4 FIG. 1 shows a flowchart of a method for determining a vehicle charging strategy according to another exemplary embodiment of the present application. Figure 3 The differences between the embodiments shown in FIG. 1 and FIG. 2 are shown in FIG. 3 , and the same steps are not described repeatedly for the sake of brevity.

[0050] like Figure 4 As shown, the method may further include step S4. In step S4, the charging reservation information of the vehicle 1 may be sent to the determined charging station 3. Especially during the peak charging period, the possible waiting time of the vehicle 1 after arriving at the charging station 3 can be avoided as much as possible by sending the charging reservation information to the charging station 3 providing the charging reservation service in advance.

[0051] In addition, it should be noted that the step numbers described herein do not necessarily represent a chronological order, but are merely a figure mark. The order can be changed according to specific circumstances as long as the technical purpose of the present application can be achieved.

[0052] Figure 5 A schematic block diagram of a system 10 for determining a vehicle charging strategy according to an exemplary embodiment of the present application is shown.

[0053] like Figure 5 As shown, the system 10 may include the following components:

[0054] - a trip information acquisition unit 11, which is configured to acquire the user's trip information;

[0055] - a charging station interaction unit 12, which is configured to obtain charging station information;

[0056] - an operating condition acquisition unit 13, which is configured to acquire the operating condition of the vehicle 1; and

[0057] A control unit 14 configured to carry out the method according to the present application.

[0058] Optionally, the system 10 may further include a notification unit 15, which is configured to send notification information about the determined charging strategy to the user. The notification unit 15 may include, for example, an intelligent voice device, a head-up display, a central control display, and / or an instrument panel.

[0059] Optionally, the charging station interaction unit 12 may also be configured to send charging reservation information of the vehicle 1 to the determined charging station 3 .

[0060] It should be understood that, in this document, the expressions “first”, “second”, etc. are used for descriptive purposes only and should not be understood as indicating or implying relative importance, nor should they be understood as implicitly indicating the number of the indicated technical features.

[0061] If an embodiment includes an “and / or” relationship between a first feature and a second feature, it should be interpreted as follows: according to one embodiment, the embodiment has both the first feature and the second feature, and according to another embodiment, the embodiment has either only the first feature or only the second feature.

[0062] Although specific embodiments have been described above, these embodiments are not intended to limit the scope of the present disclosure, even when only a single embodiment is described with respect to specific features. The feature examples provided in the present disclosure are intended to be illustrative, not restrictive, unless otherwise stated. In specific implementations, multiple features may be combined with each other, where technically feasible, according to actual needs. Various substitutions, changes, and modifications may also be conceived without departing from the spirit and scope of the present application.

Claims

1. A method for determining a vehicle charging strategy, the method comprising the following steps: During the driving process of the vehicle (1), a charging coefficient of the vehicle (1) is calculated based on at least the user's travel information, the charging station information and the vehicle's operating conditions, wherein the charging coefficient is used to characterize the degree to which the vehicle (1) is necessary to go to the charging station (3) for charging under the current operating conditions; and A charging strategy for the vehicle (1) is determined based at least on the calculated charging factor.

2. The method according to claim 1, wherein: The user's itinerary information includes planned destination information and planned time information, wherein the planned destination information includes the starting point, the end point, and the intermediate destinations between the starting point and the end point of the trip of the vehicle (1), and the planned time information includes the planned arrival time of the end point and each intermediate destination; and / or The user's itinerary information is obtained from the user's mobile terminal (2).

3. A method according to any one of the preceding claims, wherein: The operating condition of the vehicle (1) includes current location information of the vehicle (1), current battery power level of the vehicle (1) and / or a maximum distance that the vehicle (1) can travel at the current battery power level; and / or The charging station information includes location information of the charging station and / or a change process of the idleness of the charging station over time.

4. A method according to any one of the preceding claims, wherein: During the driving process of the vehicle (1), the charging coefficient of the vehicle (1) is calculated by the following formula in a preset calculation cycle: Among them, C j,i represents the charging factor during the trip at the i-th intermediate destination in the j-th calculation cycle, Q j represents the battery power level of the jth computing cycle, d j,i represents the distance from vehicle (1) to the i-th intermediate destination in the j-th calculation cycle, d max,j A represents the maximum distance that the vehicle (1) can travel at the current battery power level in the jth calculation cycle, j,i represents the availability coefficient of the charging station at the i-th intermediate destination at the planned arrival time in the j-th calculation cycle, M i represents the existence coefficient of other charging stations within a predetermined distance range from the i-th intermediate destination, and w represents the weighting factor.

5. A method according to any one of the preceding claims, wherein: When the calculated charging coefficient exceeds a predetermined threshold, a charging strategy is determined to proceed to a charging station (3) for charging, wherein the charging station (3) is the charging station closest to the current position of the vehicle (1) and capable of providing an unoccupied charging pile at the planned arrival time of the vehicle (1).

6. A method according to any one of the preceding claims, wherein: The method further comprises: Sending a notification message about the determined charging strategy to the user; and / or The charging reservation information of the vehicle (1) is sent to the determined charging station (3).

7. A system (10) for determining a vehicle charging strategy, the system (10) comprising the following components: A trip information acquisition unit (11), configured to acquire the user's trip information; A charging station interaction unit (12), configured to obtain charging station information; an operating condition acquisition unit (13) configured to acquire the operating condition of the vehicle (1); and A control unit (14) configured to execute the method according to any one of claims 1 to 6.

8. The system (10) according to claim 7, wherein: The system (10) further comprises a notification unit (15) configured to send notification information about the determined charging strategy to a user; and / or The charging station interaction unit (12) is also configured to send charging reservation information of the vehicle (1) to the determined charging station (3).

9. A vehicle (1) comprising a system (10) according to claim 7 or 8. 10 . A computer program product, such as a computer-readable program carrier, comprising or storing computer program instructions, which, when executed by a processor, at least assist in implementing the steps of the method according to claim 1 .

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