Vehicle and vehicle energy management method

Abstract

The application discloses a vehicle and a vehicle energy management method. The method comprises the following steps: if the navigation of the vehicle is started, determining a target driving distance of the vehicle according to navigation information; if the navigation of the vehicle is not started, determining the target driving distance according to a historical driving distance probability distribution of the vehicle when a start space-time parameter of the vehicle meets a preset space-time parameter condition, wherein the preset space-time parameter condition comprises that the start space-time parameter is located in a target space-time parameter interval, and a probability value of the target space-time parameter interval in a historical space-time parameter probability distribution of the vehicle is greater than or equal to a probability threshold; obtaining a temperature change prediction value of a power battery under the target driving distance, determining whether the vehicle meets a safe driving condition according to the temperature change prediction value, and if yes, controlling the vehicle to enter an energy management working condition. The application can improve the energy management efficiency of the vehicle.

Description

Technical Field

[0001] The present application belongs to the field of vehicle control technology, and in particular relates to a vehicle and a vehicle energy management method. Background Art

[0002] Vehicle energy management refers to the effective utilization and optimal allocation of a vehicle's energy to improve its overall efficiency and sustainability, for example, by increasing its range. For new energy vehicles, energy management includes but is not limited to battery charging and discharging strategies, energy recovery, and power distribution. Therefore, effective energy management strategies play a crucial role in improving vehicle performance.

[0003] Currently, in the related technologies, when performing energy management on vehicles, some methods perform energy management based on driving distance. This method needs to rely on vehicle navigation and has poor applicability when the vehicle navigation is not turned on. Summary of the Invention

[0004] The embodiments of the present application provide a vehicle and a vehicle energy management method, which can, at least to a certain extent, help improve the vehicle's range while avoiding the impact of energy management on the vehicle's safe driving, thereby improving energy management efficiency.

[0005] Other features and advantages of the present application will become apparent from the following detailed description, or may be learned in part by practice of the present application.

[0006] A first aspect of an embodiment of the present application provides a vehicle energy management method, wherein the vehicle includes a power battery, and the method includes:

[0007] If navigation of the vehicle is turned on, determining a target driving distance of the vehicle according to navigation information;

[0008] If navigation of the vehicle is not turned on, then, when the startup spatiotemporal parameters of the vehicle meet preset spatiotemporal parameter conditions, the target driving distance is determined based on the vehicle's historical driving distance probability distribution, wherein the preset spatiotemporal parameter conditions include: the startup spatiotemporal parameters are within a target spatiotemporal parameter interval, and the probability value of the target spatiotemporal parameter interval in the vehicle's historical spatiotemporal parameter probability distribution is greater than or equal to a probability threshold;

[0009] Obtain a predicted value of temperature change of the power battery at the target driving distance, determine whether the vehicle meets safe driving conditions based on the predicted value of temperature change, and if so, control the vehicle to enter an energy management operating state.

[0010] Optionally, the starting spatiotemporal parameter comprises a starting position and a starting time, the preset spatiotemporal parameter condition comprises a preset position condition and a preset time condition, and the starting spatiotemporal parameter of the vehicle satisfies the preset spatiotemporal parameter condition, comprising:

[0011] The starting position of the vehicle satisfies the preset position condition, and the preset position condition comprises that the starting position is located in a target starting position interval, and a first probability value of the target starting position interval in a starting position probability distribution of the vehicle history is greater than or equal to a first probability threshold value.

[0012] The starting time of the vehicle satisfies the preset time condition, and the preset time condition comprises that the starting time is located in a target starting time interval, and a second probability value of the target starting time interval in a starting time probability distribution of the vehicle history is greater than or equal to a second probability threshold value.

[0013] Optionally, the target driving distance is determined according to a driving distance probability distribution of the vehicle history, comprising:

[0014] obtaining each driving distance distribution probability and each distance interval of the vehicle history;

[0015] determining an expected value according to the each driving distance distribution probability and the each distance interval, and taking the expected value as the target driving distance.

[0016] Optionally, the temperature change prediction value of the power battery under the target driving distance is obtained, and it is determined whether the vehicle satisfies a safe driving condition according to the temperature change prediction value, comprising:

[0017] obtaining a historical temperature change value of the power battery under the target driving distance, and taking the historical temperature change value as the temperature change prediction value;

[0018] obtaining a temperature difference value between a current temperature value of the power battery and a safe temperature threshold value;

[0019] if the temperature change prediction value is less than or equal to the temperature difference value, the vehicle satisfies the safe driving condition.

[0020] Optionally, the temperature change prediction value of the power battery under the target driving distance is obtained, and it is determined whether the vehicle satisfies a safe driving condition according to the temperature change prediction value, comprising:

[0021] obtaining a temperature difference value between a current temperature value of the power battery and a safe temperature threshold value, and taking the temperature difference value as the temperature change prediction value;

[0022] acquire an ambient temperature, determine a safety distance threshold corresponding to the ambient temperature and the temperature change prediction value based on a preset correspondence, wherein the safety distance threshold is a maximum driving distance of the vehicle when the battery temperature of the power battery is less than the safety temperature threshold;

[0023] If the target driving distance is less than or equal to the safety distance threshold, the vehicle satisfies the safety driving condition.

[0024] Optionally, after the control of the vehicle entering the energy management working condition, the method further comprises:

[0025] In the process of driving the vehicle, the power battery is not refrigerated when the battery temperature of the power battery is less than a first temperature threshold, and / or the power battery is not heated when the battery temperature is greater than a second temperature threshold, wherein the first temperature threshold is greater than the second temperature threshold.

[0026] Optionally, the vehicle comprises an air conditioning system, and after the control of the vehicle entering the energy management working condition, the method further comprises:

[0027] In the process of driving the vehicle, if the remaining distance of the target driving distance is less than or equal to a preset distance, the air conditioning system is adjusted as follows:

[0028] Adjust the air conditioning system to a first target temperature when the ambient temperature is greater than or equal to a third temperature threshold, wherein the first target temperature is greater than a user preset temperature;

[0029] Or, adjust the air conditioning system to a second target temperature when the ambient temperature is less than or equal to a fourth temperature threshold, wherein the fourth temperature threshold is less than the third temperature threshold, and the second target temperature is less than the user preset temperature.

[0030] Optionally, after the control of the vehicle entering the energy management working condition, the method further comprises:

[0031] If the exit energy management demand of the user is identified, and / or if the energy management working condition is identified to be abnormal, control the vehicle to exit the energy management working condition;

[0032] Wherein, the exit energy management demand comprises: improving comfort demand and / or improving power demand.

[0033] Optionally, the method is applied to a commuting working condition of the vehicle.

[0034] The second aspect of the embodiment of the application provides a vehicle energy management device, the vehicle comprising a power battery, the device comprising:

[0035] The first determining unit is configured to determine a target driving distance of the vehicle according to navigation information if navigation of the vehicle is started;

[0036] The second determining unit is configured to determine the target driving distance according to a driving distance probability distribution of the vehicle history if navigation of the vehicle is not started, and the start-time-space parameter meets a preset time-space parameter condition, wherein the preset time-space parameter condition comprises that the start-time-space parameter is located in a target time-space parameter interval, and a probability value of the target time-space parameter interval in the time-space parameter probability distribution of the vehicle history is greater than or equal to a probability threshold.

[0037] The third determining unit is configured to obtain a temperature change prediction value of the power battery under the target driving distance, determine whether the vehicle meets a safe driving condition according to the temperature change prediction value, and control the vehicle to enter an energy management working condition if the vehicle meets the safe driving condition.

[0038] The third aspect of the embodiment of the present application provides a computer readable storage medium, at least one computer program instruction is stored in the computer readable storage medium, the at least one computer program instruction is loaded and executed by a processor to realize the operation performed by the method according to any one of the first aspect.

[0039] According to the fourth aspect of the embodiment of the present application, a vehicle is provided, comprising one or more processors and one or more memories, at least one program code is stored in the one or more memories, the at least one program code is loaded and executed by the one or more processors to realize the operation performed by the method according to any one of the first aspect.

[0040] The one or more technical solutions provided by the embodiment of the present application at least realize the following technical effects or advantages:

[0041] The vehicle energy management method provided in the embodiments of the present application can determine the target driving distance of the vehicle even if the navigation of the vehicle is not started, and then determine whether the vehicle meets the safe driving condition according to the target driving distance and the temperature change prediction value of the power battery, and control the vehicle to enter the energy management working condition if the vehicle meets the safe driving condition, thereby improving the energy management efficiency while helping to improve the vehicle driving range and avoiding the influence of energy management on the safe driving of the vehicle.

[0042] It should be understood that the general description above and the following detailed description are only exemplary and explanatory, and cannot limit the present application. BRIEF DESCRIPTION OF DRAWINGS

[0043] The accompanying drawings, which are incorporated into and form part of the specification, illustrate embodiments consistent with the present application and, together with the specification, serve to explain the principles of the present application. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained according to these drawings without creative labor for those skilled in the art. In the drawings:

[0044] Figure 1 A flow chart of the vehicle energy management method according to an embodiment of the present application is shown;

[0045] Figure 2 A historical vehicle location probability distribution diagram according to an embodiment of the present application is shown;

[0046] Figure 3 A historical start time probability distribution diagram according to an embodiment of the present application is shown;

[0047] Figure 4 A historical driving distance probability distribution diagram according to an embodiment of the present application is shown;

[0048] Figure 5 A structural diagram of the vehicle energy management device according to an embodiment of the present application is shown;

[0049] Figure 6A structural diagram of a computer system of a vehicle suitable for implementing the embodiments of the present application is shown. DETAILED DESCRIPTION

[0050] The technical solutions in the embodiments of the present application will be clearly and completely described with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative effort belong to the scope of protection of the present application.

[0051] In addition, the described features, structures, or characteristics can be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of the embodiments of the present application. One of ordinary skill in the art will recognize, however, that the technical solutions of the present application can be practiced without one or more of the specific details, or with other methods, components, devices, steps, etc. In other instances, well-known methods, devices, implementations, or operations are not shown or described in detail to avoid obscuring aspects of the present application.

[0052] The block diagrams shown in the drawings are only functional entities, and do not necessarily correspond to physically independent entities. That is, the functional entities can be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different network and / or processor devices and / or microcontroller devices.

[0053] The flowcharts shown in the drawings are only exemplary illustrations, and do not necessarily include all contents and operations / steps, nor are they necessarily executed in the described order. For example, some operations / steps can be further decomposed, and some operations / steps can be combined or partially combined, so the actual execution order can be changed according to actual conditions.

[0054] It should also be noted that the terms "first", "second", and the like in the specification and claims of the present application and the above-described drawings are used to distinguish similar objects, and do not necessarily indicate a specific order or sequence. It should be understood that the objects thus used can be interchanged under appropriate circumstances, so that the embodiments of the present application described herein can be implemented in an order other than that illustrated or described.

[0055] Referring to Figure 1 , a flowchart of an energy management method of an embodiment of the present application is shown.

[0056] As Figure 1 shown, the first aspect of the embodiments of the present application provides a vehicle energy management method, the vehicle comprising a power battery, the method comprising:

[0057] Step S10. If the navigation of the vehicle is turned on, determining the target driving distance of the vehicle according to the navigation information;

[0058] It is understandable that when the vehicle's navigation is turned on, the navigation system can provide real-time information such as the total distance between the vehicle and the destination, the remaining distance, the current time, the remaining time, the real-time vehicle speed, etc., so that it can effectively determine whether the trip is a short trip and the target driving distance of the trip based on the above navigation information.

[0059] Step S20. If the vehicle's navigation function is not enabled, then, if the vehicle's startup spatiotemporal parameters satisfy a preset spatiotemporal parameter condition, determining the target driving distance based on the vehicle's historical driving distance probability distribution, wherein the preset spatiotemporal parameter condition includes: the startup spatiotemporal parameters being within a target spatiotemporal parameter interval, and the target spatiotemporal parameter interval having a probability value greater than or equal to a probability threshold in the vehicle's historical spatiotemporal parameter probability distribution;

[0060] It should be noted that if the vehicle's navigation is not turned on, or if the vehicle does not follow the navigation instructions after turning on the navigation, the embodiment of the present application can predict the most likely vehicle usage condition based on the user's historical vehicle usage habits. Therefore, the user's historical vehicle usage habits can be self-learned in advance.

[0061] It is understandable that when self-learning a user's historical car usage habits, the user's historical car usage habits need to show a certain regularity. For example, under commuting conditions, the user's car usage habits are usually more regular. Therefore, the following takes commuting conditions as an example to illustrate the self-learning process of the user's historical car usage habits.

[0062] It is understandable that when conducting self-learning, irregular information features can be filtered out first. For example, the premise of self-learning the user's historical car usage habits is that the car usage time is a weekday. For example, the on-board TBOX (remote communication terminal) sends time information (lunar calendar or solar calendar date), and the vehicle controller determines whether this date is a statutory holiday or a weekend. Therefore, the non-filtered weekend or holiday car usage information is filtered out, leaving the weekday car usage information, so as to improve the accuracy of subsequent self-learning.

[0063] See also Figure 2 , which shows a probability distribution diagram of historical vehicle locations in an embodiment of the present application.

[0064] like Figure 2As shown, the historical travel positioning positions of the user's vehicle are acquired, such as the most probable positioning positions of home and company. Exemplarily, the TBOX (remote communication terminal) sends the longitude and latitude information of the vehicle to the controller, for example, 114° east longitude and 30° north latitude. The controller acquires a plurality of longitude and latitude information to obtain the start position and end position of the user's vehicle in a period of time, and then analyzes to obtain the historical vehicle position probability distribution.

[0065] Referring to Figure 3 , a historical start time probability distribution diagram of an embodiment of the application is shown.

[0066] As shown in Figure 3 , the start time of the user's vehicle in a period of time is acquired. For example, through big data analysis under the commuting working condition, it is determined that the user's working time is from 6:30 to 9:00, the leaving time is from 17:00 to 21:00, and there may be 2 trips from 11:00 to 14:00, so the number of vehicle trips in a day is 2-4 times.

[0067] It can be understood that if the number of departure times of the user in a day is greater than or equal to 5 times, only the departure time information of the first 2 times can be used; in addition, if the driving distance of the vehicle at this time is short, for example, less than or equal to 3 km, it can also be ignored. Exemplarily, the TBOX (remote communication terminal) sends the start time of the vehicle driving to the controller, the controller acquires the start time of the user's vehicle in a period of time, and then can analyze to obtain the historical start time probability distribution diagram, for example, in Figure 3 , the start time probability of the 6.7-7.53 period is the largest, the start time probability of the 19.7-20.35 period is the second, and the start time probability of the 18.4-19.05 period is the third.

[0068] Referring to Figure 4 , a historical driving distance probability distribution diagram of an embodiment of the application is shown.

[0069] As shown in Figure 4 , the driving distance distribution of the user's vehicle in a period of time is acquired. The distribution interval can be 5 km as an interval, or 3 km as an interval, or 2 km as an interval, which is not limited here. Among them, the driving distance of the vehicle is the actual driving distance in the process of the vehicle being powered on to being powered off. Exemplarily, the navigation system sends the driving distance of the vehicle to the controller, the controller acquires the start time of the user's vehicle in a period of time, and then can analyze to obtain the historical driving distance probability distribution diagram, for example, in Figure 4 , the probability of the 11.4-15.2 distance interval is the largest, and the probability of the 0-3.8 distance interval is the second. Thus, the expected value S can be determined by the driving distance distribution probability and the distance interval , that is, S= .

[0070] In some embodiments, when self-learning the user's historical driving habits, the historical driving power characteristics of the user's vehicle can also be analyzed, such as the maximum driving power and the maximum recovery power in a single trip. The maximum driving power reflects the user's maximum acceleration demand, and the maximum recovery power reflects the user's maximum deceleration demand. According to the maximum acceleration demand or the maximum deceleration demand, it can be determined whether the charging and discharging capacity of the power battery covers the user's power demand. Thus, the historical maximum driving power probability distribution and the maximum recovery power probability distribution can be obtained, and based on the probability distribution, the expected value can be calculated, which can reflect the user's maximum power demand and maximum braking demand.

[0071] In some embodiments, when self-learning the user's historical driving habits, the historical temperature variation characteristics of the power battery of the user's vehicle can also be analyzed. For example, during vehicle driving, the temperature variation of the power battery, such as the temperature variation of the battery cell, is obtained under different environmental temperatures and without thermal management of the power battery. For example, a function relationship z = f(x, y) is established based on the environmental temperature, the one-way trip distance, and the battery cell temperature variation value in a single trip, where z represents the battery cell temperature variation value, x represents the environmental temperature, and y represents the one-way trip distance.

[0072] In addition, under the same trip distance, the vehicle speed also has an impact on the battery cell temperature, for example, the greater the vehicle speed, the greater the battery cell temperature rise. For example, in the commuting working condition, the vehicle speed is low, and the battery cell temperature rise is small, for example, 2°C, while in the high-speed working condition, the battery cell temperature rise is large, for example, 4°C. Therefore, when analyzing the battery temperature variation characteristics subsequently, if the vehicle speed is large, for example, greater than 140 km / h, a correction coefficient of the vehicle speed on the battery cell temperature variation can be increased, for example, the correction coefficient is 2, that is, the battery cell temperature variation under high speed is twice that under the commuting working condition.

[0073] In some embodiments, when self-learning the user's historical driving habits, the historical passenger compartment temperature probability distribution and the like can also be analyzed.

[0074] It can be understood that the start-time-space parameter can refer to the time parameter and the space parameter when the vehicle starts, where the time parameter can be the start time, and the space parameter can be the start location. When analyzing the start-time-space parameter probability distribution, a plurality of start-time-space parameter intervals can be set, each start-time-space parameter interval has a corresponding probability value, and thus the probability values of the plurality of start-time-space parameter intervals constitute the start-time-space parameter probability distribution.

[0075] Since the vehicle position probability distribution, the start time probability distribution and the driving distance probability distribution under the commuting working condition are pre-learned, when the probability value of the target spatiotemporal parameter where the spatiotemporal parameter is located is greater than or equal to the probability threshold, for example, greater than or equal to 50%, 60%, 70% and the like, it indicates that the proportion of the interval in the entire probability distribution is large, for example, the start time is located in the 6.7-7.35 period in Figure 3 the 6.7-7.35 period, the proportion of the interval is large, which indicates that the period is more likely to be located in the period under the commuting working condition. In this case, the most possible target driving distance under the commuting working condition is obtained based on the historical driving distance probability distribution.

[0076] In some embodiments, the start spatiotemporal parameter includes a start position and a start time, the preset spatiotemporal parameter condition includes a preset position condition and a preset time condition, and the start spatiotemporal parameter of the vehicle satisfies the preset spatiotemporal parameter condition, including:

[0077] Step S21. The start position of the vehicle satisfies the preset position condition, and the preset position condition includes that the start position is located in a target start position interval, and a first probability value of the target start position interval in the start position probability distribution of the vehicle history is greater than or equal to a first probability threshold.

[0078] For example, the longitude and latitude information of the start position is 114° east and 30° north, which is located in the target start position interval, and the first probability value of the interval is greater than or equal to 70%.

[0079] Step S22. The start time of the vehicle satisfies the preset time condition, and the preset time condition includes that the start time is located in a target start time interval, and a second probability value of the target start time interval in the start time probability distribution of the vehicle history is greater than or equal to a second probability threshold.

[0080] For example, the start time is 7 am, which is located in the target start time interval, and the first probability value of the interval is greater than or equal to 60%.

[0081] In some embodiments, the target driving distance is determined according to the driving distance probability distribution of the vehicle history, including:

[0082] Step S23. Obtain each driving distance distribution probability and each distance interval of the vehicle history.

[0083] For example: each distance interval includes 0-3.8, 2.8-7.6, 11.4-15.2, 15.2-19, 34.2-38, and the driving distribution probability corresponding to each interval is 0.35, 0.01, 0.6, 0.005, 0.007, respectively.

[0084] Step S24. Determine an expectation value according to the respective driving distance distribution probability and the respective distance interval, and take the expectation value as the target driving distance.

[0085] For example, under the respective distance interval and the respective driving distance distribution probability, the expectation value is S = ∑ P (S) * S. wherein, P (S) represents the driving distance distribution probability, S represents the distance interval.

[0086] Step S30. Obtain a temperature change prediction value of the power battery under the target driving distance, determine whether the vehicle meets a safe driving condition according to the temperature change prediction value, and if so, control the vehicle to enter an energy management working condition.

[0087] In some embodiments, the obtaining of the temperature change prediction value of the power battery under the target driving distance and the determination of whether the vehicle meets the safe driving condition according to the temperature change prediction value include:

[0088] Step S31A. Obtain a historical temperature change value of the power battery under the target driving distance, and take the historical temperature change value as the temperature change prediction value.

[0089] Based on the above, the historical temperature change value of the power battery under different driving distances can be obtained in advance through self-learning by the embodiments of the present application.

[0090] Step S32A. Obtain a temperature difference value between a current temperature value of the power battery and a safe temperature threshold.

[0091] It can be understood that the safe temperature threshold is a minimum temperature value corresponding to the performance of the power battery not being limited, for example, a minimum temperature value corresponding to the charging and discharging power not being limited. When the safe temperature threshold is exceeded, the discharging power of the power battery can be reduced, thereby affecting the safe driving of the vehicle. For example, the safe temperature threshold is 50℃, 51℃, 55℃, etc., and the current temperature value is T1, then the temperature difference value is 50-T1, 51-T1, 55-T1, etc.

[0092] Step S33A. If the temperature change prediction value is less than or equal to the temperature difference value, the vehicle meets the safe driving condition.

[0093] In some embodiments, the obtaining of the temperature change prediction value of the power battery under the target driving distance and the determination of whether the vehicle meets the safe driving condition according to the temperature change prediction value include:

[0094] Step S31B. Obtain a temperature difference between the current temperature value of the power battery and the safety temperature threshold, and take the temperature difference as the temperature change prediction value;

[0095] Step S32B. Obtain an ambient temperature, and determine a safety distance threshold corresponding to the ambient temperature and the temperature change prediction value based on a preset correspondence relationship, wherein the safety distance threshold is a maximum driving distance of the vehicle when the battery temperature of the power battery is less than the safety temperature threshold.

[0096] Based on the above, the embodiments of the present application can establish a functional relationship among the battery temperature change, the ambient temperature and the driving distance through self-learning in advance, so that the maximum driving distance corresponding to the temperature of the power battery not exceeding the safety temperature threshold can be determined.

[0097] Step S33B. If the target driving distance is less than or equal to the safety distance threshold, the vehicle satisfies the safety driving condition.

[0098] In some embodiments, after the control of the vehicle entering the energy management working condition, the method further comprises:

[0099] In the process of driving the vehicle, the power battery is not cooled when the battery temperature of the power battery is less than a first temperature threshold, and / or the power battery is not heated when the battery temperature is greater than a second temperature threshold, wherein the first temperature threshold is greater than the second temperature threshold.

[0100] For example, the first temperature threshold is less than the safety temperature threshold, for example, the first temperature threshold is 45℃, 48℃, etc.

[0101] It can be understood that in the case that the ambient temperature is not very high (for example, greater than 25℃ and less than 40℃), the temperature rise of the power battery is likely to not exceed the safety temperature threshold, and therefore, for a smaller level of cooling demand, no response is needed, so that energy consumption can be saved and the cruising range can be improved. When the battery temperature exceeds the safety temperature threshold, the power battery needs to be cooled to ensure the safe driving of the vehicle.

[0102] It can be understood that in the case that the ambient temperature is not very low (for example, greater than -10℃ and less than 10℃), since the charging and discharging efficiency of the power battery is less affected by the ambient temperature at this time, the power battery can not be heated, so that energy consumption can be saved, and at this time, the engine waste heat and the motor waste heat can be fully utilized to heat the battery, so that the waste heat utilization efficiency can be improved. When the ambient temperature is low, for example, lower than -10℃, the power battery needs to be heated, and the vehicle's coasting energy can also be fully utilized for heating.

[0103] In some embodiments, the vehicle comprises an air conditioning system, and after the control of the vehicle into the energy management working condition, the method further comprises:

[0104] During the driving of the vehicle, if the remaining distance of the target driving distance is less than or equal to a preset distance, the air conditioning system is adjusted as follows:

[0105] adjusting the air conditioning system to a first target temperature when the ambient temperature is greater than or equal to a third temperature threshold, wherein the first target temperature is greater than a user preset temperature;

[0106] or, adjusting the air conditioning system to a second target temperature when the ambient temperature is less than or equal to a fourth temperature threshold, wherein the fourth temperature threshold is less than the third temperature threshold, and the second target temperature is less than the user preset temperature.

[0107] It should be noted that when the remaining driving distance of the vehicle is short, for example, less than 3 kilometers, the air conditioning system can still meet the user's cooling or heating demand in a short time after being adjusted up or down. Therefore, when the ambient temperature is greater than or equal to the third temperature threshold, for example, greater than 28 degrees, if the user sets the temperature to 25 degrees, the air conditioning system can be adjusted up by 2-3 degrees, for example, to 28 degrees. When the ambient temperature is less than or equal to the fourth temperature threshold, for example, less than 10 degrees, if the user sets the temperature to 25 degrees, the air conditioning system temperature can be adjusted down by 2-3 degrees. Thus, energy consumption can be saved.

[0108] In some embodiments, after the control of the vehicle into the energy management working condition, the method further comprises:

[0109] if the user's exit energy management demand is identified, and / or if the energy management working condition is identified to have an abnormality, the vehicle is controlled to exit the energy management working condition;

[0110] wherein the exit energy management demand comprises an improved comfort demand and / or an improved power demand.

[0111] wherein the improved comfort demand is, for example, that after the temperature of the air conditioning system is offset from the user preset temperature, if the user readjusts the air conditioning temperature, it indicates that the user does not accept the weakening of the performance of the air conditioning system and considers that the comfort needs to be improved.

[0112] wherein the improved power demand can be that the expected value of the user's maximum driving power distribution is greater than the maximum long-time discharge power of the power battery, and if the above situation occurs multiple times during the driving of the vehicle, it is considered that the user needs to improve the power.

[0113] The energy management working condition exception can be that a temperature of a cell of the power battery exceeds a safety temperature threshold, or that an actual driving distance of the vehicle exceeds a target driving distance, or that the user has a charging intention (for example, a charging pile is present on a navigation path), and the like.

[0114] Thus, in the case where the vehicle is started or not started, the application embodiments do not need to support a cloud big data platform, and the identification of the commuting working condition and the energy management strategy are arranged at the vehicle end, which has small requirements for operation and data storage. After entering the energy management working condition, the energy management is performed on the battery temperature and / or the air conditioning system, so that the energy consumption of the vehicle can be saved and the cruising range can be improved. When it is identified that the user feedback is poor in comfort and power, or that the energy management working condition is abnormal, the energy management working condition can be exited in time, and the user experience can be improved.

[0115] Referring to Figure 5 , a structural diagram of a vehicle energy management device according to an embodiment of the application is shown.

[0116] As shown in Figure 5 , a second aspect of the application provides a vehicle energy management device 200, the vehicle including a power battery, and the device 200 including:

[0117] A first determination unit 201 is configured to determine a target driving distance of the vehicle according to navigation information if navigation of the vehicle is started.

[0118] A second determination unit 202 is configured to determine the target driving distance according to a historical driving distance probability distribution of the vehicle if navigation of the vehicle is not started, and a start time-space parameter of the vehicle meets a preset time-space parameter condition, wherein the preset time-space parameter condition includes that the start time-space parameter is located in a target time-space parameter interval, and a probability value of the target time-space parameter interval in the historical time-space parameter probability distribution of the vehicle is greater than or equal to a probability threshold.

[0119] A third determination unit 203 is configured to obtain a temperature change prediction value of the power battery under the target driving distance, determine whether the vehicle meets a safety driving condition according to the temperature change prediction value, and control the vehicle to enter an energy management working condition if the vehicle meets the safety driving condition.

[0120] According to a third aspect of the application, a computer readable storage medium is provided, and at least one computer program instruction is stored in the computer readable storage medium. The at least one computer program instruction is loaded and executed by a processor to implement the operations performed by the method according to any one of the first aspect.

[0121] The computer readable storage medium can take the form of a portable compact disc read-only memory (CD-ROM) and include a program code, and can be run on a terminal device, for example, a personal computer. However, the computer readable storage medium of the present application is not limited thereto, and in the present application, the readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus or device.

[0122] The readable storage medium may, for example, be but is not limited to an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus or device, or any suitable combination of the above. More specific examples (a non-exhaustive list) of the readable storage medium include an electrical connection having one or more wires, a portable disc, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0123] The program code for carrying out operations of the present application can be written in any combination of one or more programming languages, including an object-oriented programming language such as Java, C++, and the like, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code can execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device or entirely on the remote computing device or server. In the latter scenario, the remote computing device can be connected to the user's computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or the connection can be made to an external computing device, for example, through the Internet using an Internet Service Provider.

[0124] Referring to Figure 6 A structural schematic diagram of a computer system of a vehicle suitable for implementing embodiments of the present application.

[0125] According to a fourth aspect of the embodiments of the present application, a vehicle is provided, comprising one or more processors and one or more memories, and the one or more memories store at least one program code, and the at least one program code is loaded and executed by the one or more processors to implement the operations performed by the method of any one of the first aspect.

[0126] As Figure 6As shown, the vehicle 400 is in the form of a general-purpose computing device. The components of vehicle 400 can include, but are not limited to, the at least one processing unit 410, the at least one storage unit 420, and a bus 430 that connects the various system components, including the storage unit 420 and the processing unit 410.

[0127] The storage unit stores a program code that can be executed by the processing unit 410, such that the processing unit 410 performs the steps described in the above "Embodiment Methods" section of this specification according to various exemplary embodiments of the present application.

[0128] The storage unit 420 can include a readable medium in the form of volatile storage such as random access memory (RAM) 421 and / or cache 422, and can further include a read only memory (ROM) 423.

[0129] The storage unit 420 can also include a program / utility 424 having a set of program modules 425, including but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which can include implementation of a network environment, alone or in combination.

[0130] The bus 430 can represent one or more of several types of bus structures, including a storage bus or bus controller, a peripheral bus, a graphics bus (e.g., an Accelerated Graphics Port, or AGP bus) and a local bus using any of a variety of bus architectures.

[0131] The vehicle 400 can also communicate with one or more external devices 500 such as a keyboard or pointing device, a Bluetooth device, etc.; one or more devices that enable a user to interact with the vehicle 400; and / or one or more devices (e.g., a router, a modem, a Bluetooth device, etc.) that enable the vehicle 400 to communicate with one or more other computing devices. Such communication can occur via an I / O interface 450. Still yet, the vehicle 400 can communicate with one or more networks such as a local area network (LAN), a general wide area network (WAN), and / or a public network (e.g., the Internet) via a network adapter 460. As depicted, the network adapter 460 communicates with the other components of the vehicle 400 via the bus 430. It should be appreciated that the vehicle 400 can be a part of one or more devices, such as a personal computer system, a network of computer systems, a mobile device, a television system, a handheld device, etc. It should also be appreciated that the vehicle 400 can be connected to one or more other computer systems, such as via an intranet or the Internet. It should be appreciated that the vehicle 400 might also be connected to one or more devices that enable a user to interact with the vehicle 400. The input and output (I / O) interface 450 can include but is not limited to one or more of a keyboard, a mouse, a pen, a voice input device, a touch input device, etc. The I / O interface 450 can also include one or more of a display, a speaker, etc.

[0132] The functions described herein can be implemented in hardware, software executed by a processor, firmware, or any combination thereof. If implemented in software executed by a processor, the functions can be stored on or transferred over as one or more instructions or code on a computer-readable medium. Other examples and implementations are within the scope and spirit of the disclosure and appended claims. For example, due to the nature of software, functions described above can be implemented using software executed by a processor, hardware, firmware, hardwiring, or combinations of any of these. Features implementing functions can also be physically located at various positions, including being distributed such that portions of functions are implemented at different physical locations. Also, as used herein, including in the claims, "or" as used in a list of items prefaced by "comprising" to indicate a disjunctive list means each single item in the list has been recited before "or" one or more additional disjunctive items also have been recited. However, "or" in such a phrase does not mean that the list is inclusive of at least one of the items. Additional disjunctive items can be added to such a list. Further, any one of the elements of an electrical circuit can be implemented with a combination of a hardware component and a software component.

[0133] In several embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. Among them, the above-mentioned device embodiments are only schematic, for example, the division of units can be a logical function division, and actual implementation can have another division mode, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the displayed or discussed each other can be through some interface, indirect coupling or communication connection between units or modules, which can be electrical or other forms.

[0134] The units described as separate components can or can not be physically separated, and the components of the control device can or can not be physical units, that is, they can be located in one place, or they can be distributed on multiple units. Part or all of the units can be selected according to actual needs to achieve the purpose of the present embodiment.

[0135] If the integrated unit is implemented in the form of a software function unit and sold or used as an independent product, it can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application essentially or the part of the prior art or the whole or part of the technical solutions can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a plurality of instructions to make a computer device (which can be a personal computer, a server or a network device, etc.) execute all or part of the steps of the embodiments of the present application. The foregoing storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk, and various media that can store program codes.

[0136] The above merely provides an example of the present application, and is not intended to limit the present application. For those skilled in the art, the present application can have various modifications and changes. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present application shall fall into the scope of claims of the present application.

Claims

1. A vehicle energy management method, characterized in that: The vehicle includes a power battery, and the method includes: If navigation of the vehicle is turned on, determining a target driving distance of the vehicle according to navigation information; If navigation of the vehicle is not turned on, then, when the startup spatiotemporal parameters of the vehicle meet preset spatiotemporal parameter conditions, the target driving distance is determined based on the vehicle's historical driving distance probability distribution, wherein the preset spatiotemporal parameter conditions include: the startup spatiotemporal parameters are within a target spatiotemporal parameter interval, and the probability value of the target spatiotemporal parameter interval in the vehicle's historical spatiotemporal parameter probability distribution is greater than or equal to a probability threshold; Obtain a predicted value of temperature change of the power battery at the target driving distance, determine whether the vehicle meets safe driving conditions based on the predicted value of temperature change, and if so, control the vehicle to enter an energy management operating state.

2. The method according to claim 1, characterized in that The startup spatiotemporal parameters include a startup position and a startup time, the preset spatiotemporal parameter conditions include a preset position condition and a preset time condition, and the startup spatiotemporal parameters of the vehicle satisfying the preset spatiotemporal parameter conditions include: The starting position of the vehicle satisfies the preset position condition, wherein the preset position condition includes: the starting position is located in a target starting position interval, and a first probability value of the target starting position interval in the vehicle's historical starting position probability distribution is greater than or equal to a first probability threshold; The start time of the vehicle meets the preset time condition, and the preset time condition includes: the start time is within a target start time interval, and a second probability value of the target start time interval in the vehicle history start time probability distribution is greater than or equal to a second probability threshold.

3. The method according to claim 1, characterized in that The determining the target driving distance according to the probability distribution of the vehicle's historical driving distance includes: Obtaining distribution probabilities of various travel distances and various distance intervals in the vehicle's history; An expected value is determined according to the respective driving distance distribution probabilities and the respective distance intervals, and the expected value is used as the target driving distance.

4. The method according to claim 1, wherein The obtaining of a predicted value of temperature change of the power battery at the target driving distance, and determining whether the vehicle meets safe driving conditions according to the predicted value of temperature change, includes: Obtaining historical temperature change values ​​of the power battery at the target driving distance, and using the historical temperature change values ​​as the temperature change prediction values; Obtaining a temperature difference between a current temperature value of the power battery and a safety temperature threshold; If the temperature change prediction value is less than or equal to the temperature difference, the vehicle meets the safe driving condition.

5. The method according to claim 1, wherein The obtaining of a predicted value of temperature change of the power battery at the target driving distance, and determining whether the vehicle meets safe driving conditions according to the predicted value of temperature change, includes: Obtaining a temperature difference between a current temperature value of the power battery and a safety temperature threshold, and using the temperature difference as the temperature change prediction value; Acquiring an ambient temperature, and determining a safety distance threshold corresponding to the ambient temperature and the temperature change prediction value based on a preset correspondence, wherein the safety distance threshold is a maximum driving distance of the vehicle when the battery temperature of the power battery is less than the safety temperature threshold; If the target driving distance is less than or equal to the safety distance threshold, the vehicle meets the safe driving condition.

6. The method according to claim 1, characterized in that After controlling the vehicle to enter the energy management operating state, the method further includes: During driving of the vehicle, when the battery temperature of the power battery is lower than a first temperature threshold, the power battery is not cooled, and / or when the battery temperature is higher than a second temperature threshold, the power battery is not heated, wherein the first temperature threshold is higher than the second temperature threshold.

7. The method according to claim 1, characterized in that The vehicle includes an air conditioning system. After controlling the vehicle to enter an energy management state, the method further includes: During the vehicle driving process, if the remaining distance of the target driving distance is less than or equal to a preset distance, the air conditioning system is adjusted as follows: When the ambient temperature is greater than or equal to a third temperature threshold, adjusting the air conditioning system to a first target temperature, wherein the first target temperature is greater than a user-preset temperature; Alternatively, the air-conditioning system is adjusted to a second target temperature when the ambient temperature is less than or equal to a fourth temperature threshold, wherein the fourth temperature threshold is less than the third temperature threshold, and the second target temperature is less than the user-preset temperature.

8. The method according to claim 1, characterized in that After controlling the vehicle to enter the energy management operating state, the method further includes: If a user's demand to exit energy management is identified, and / or if an abnormality is identified in the energy management operating condition, controlling the vehicle to exit the energy management operating condition; The exit energy management requirement includes: improving comfort requirement and / or improving power requirement.

9. The method according to any one of claims 1 to 8, characterized in that: The method is applied to the commuting condition of the vehicle.

10. A vehicle, characterized in that: The method comprises one or more processors and one or more memories, wherein at least one program code is stored in the one or more memories, and the at least one program code is loaded and executed by the one or more processors to implement the operations performed by the method according to any one of claims 1 to 9.

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