Vehicle and vehicle energy management method

Abstract

The invention discloses a vehicle and a vehicle energy management method, and the method comprises the steps: determining the target driving distance of the vehicle according to the navigation information if the navigation of the vehicle is started; if the navigation of the vehicle is not started, determining a target driving distance according to historical driving distance probability distribution of the vehicle under the condition that the starting space-time parameters of the vehicle meet preset space-time parameter conditions, the preset space-time parameter conditions include that the starting space-time parameters are located in a target space-time parameter interval, and the starting space-time parameters are located in a target space-time parameter interval; the probability value of the target space-time parameter interval in the historical space-time parameter probability distribution of the vehicle is greater than or equal to a probability threshold value; and acquiring a temperature change predicted value of the power battery under the target driving distance, determining whether the vehicle meets a safe driving condition or not according to the temperature change predicted value, and if yes, controlling the vehicle to enter an energy management working condition. The vehicle energy management efficiency can be improved.

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 use and optimal allocation of vehicle energy to improve the overall efficiency and sustainability of the vehicle, for example, helping to increase the vehicle's range. For new energy vehicles, energy management includes but is not limited to power battery charging and discharging strategies, energy recovery, power distribution, etc. It can be seen that an effective energy management strategy plays an important role in improving vehicle performance.

[0003] At present, 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 safe driving of the vehicle, thereby improving the 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 the 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 the navigation of the vehicle is turned on, determining the target driving distance of the vehicle according to the navigation information;

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

[0009] A predicted value of temperature change of the power battery at the target driving distance is obtained, and whether the vehicle meets safe driving conditions is determined according to the predicted value of temperature change. If so, the vehicle is controlled to enter an energy management condition.

[0010] Optionally, 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:

[0011] 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 starting position probability distribution of the vehicle history is greater than or equal to a first probability threshold;

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

[0013] Optionally, determining the target driving distance according to the probability distribution of the historical driving distance of the vehicle includes:

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

[0015] 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.

[0016] Optionally, the acquiring a predicted value of a temperature change of the power battery at the target driving distance, and determining whether the vehicle meets a safe driving condition according to the predicted value of the temperature change, includes:

[0017] Acquire a historical temperature change value of the power battery at the target driving distance, and use the historical temperature change value as the temperature change prediction value;

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

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

[0020] Optionally, the acquiring a predicted value of a temperature change of the power battery at the target driving distance, and determining whether the vehicle meets a safe driving condition according to the predicted value of the temperature change, includes:

[0021] Acquire a temperature difference between a current temperature value of the power battery and a safety temperature threshold, and use the temperature difference as the temperature change prediction value;

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

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

[0024] Optionally, after controlling the vehicle to enter an energy management operating state, the method further includes:

[0025] 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.

[0026] Optionally, the vehicle includes an air conditioning system, and after controlling the vehicle to enter an energy management operating state, the method further includes:

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

[0028] 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;

[0029] Alternatively, when the ambient temperature is less than or equal to a fourth temperature threshold, the air conditioning system is adjusted to a second target temperature, 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 controlling the vehicle to enter an energy management operating state, the method further includes:

[0031] If a user's demand for exiting 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;

[0032] The exit energy management demand includes: improving comfort demand and / or improving power demand.

[0033] Optionally, the method is applied to commuting conditions of the vehicle.

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

[0035] A first determining unit, configured to determine a target driving distance of the vehicle according to navigation information if navigation of the vehicle is turned on;

[0036] a second determination unit, configured to determine the target driving distance according to the historical driving distance probability distribution of the vehicle if the navigation of the vehicle is not turned on and the startup spatiotemporal parameter of the vehicle satisfies a preset spatiotemporal parameter condition, wherein the preset spatiotemporal parameter condition includes: the startup spatiotemporal parameter is located in a target spatiotemporal parameter interval, and the probability value of the target spatiotemporal parameter interval in the spatiotemporal parameter probability distribution of the vehicle history is greater than or equal to a probability threshold;

[0037] The third determination unit is used to obtain the predicted value of the temperature change of the power battery at the target driving distance, and determine whether the vehicle meets the safe driving conditions according to the predicted value of the temperature change. If so, control the vehicle to enter the energy management state.

[0038] A third aspect of an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores at least one computer program instruction, and the at least one computer program instruction is loaded and executed by a processor to implement the operations performed by any of the methods described in the first aspect.

[0039] According to a fourth aspect of an embodiment of the present application, a vehicle is provided, comprising 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 any of the methods described in the first aspect.

[0040] One or more technical solutions provided by the embodiments of the present invention achieve at least the following technical effects or advantages:

[0041] The vehicle energy management method provided by the embodiment of the present application, if the navigation of the vehicle is turned on, the target driving distance of the vehicle is determined according to the navigation information; if the navigation of the vehicle is not turned on, the target driving distance is determined according to the probability distribution of the driving distance of the vehicle history when the startup spatiotemporal parameters of the vehicle meet the preset spatiotemporal parameter conditions, wherein the preset spatiotemporal parameter conditions include: the startup spatiotemporal parameters are located in the target spatiotemporal parameter interval, and the probability value of the target spatiotemporal parameter interval in the spatiotemporal parameter probability distribution of the vehicle history is greater than or equal to the probability threshold; the temperature change prediction value of the power battery at the target driving distance is obtained, and whether the vehicle meets the safe driving condition is determined according to the temperature change prediction value, and if so, the vehicle is controlled to enter the energy management working condition. In this way, the target driving distance of the vehicle can be determined even when the navigation of the vehicle is not turned on, and then whether the vehicle meets the safe driving condition is determined according to the target driving distance and the predicted value of the temperature change of the power battery, and the vehicle is controlled to perform the energy management working condition when the vehicle meets the safe driving condition, thereby helping to improve the vehicle's cruising range while avoiding the impact of energy management on the safe driving of the vehicle, thereby improving the energy management efficiency.

[0042] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The drawings herein are incorporated into the specification and constitute a part of the specification, showing embodiments consistent with the present application, and together with the specification, are used to explain the principles of the present application. Obviously, the drawings described below are only some embodiments of the present application, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. In the drawings:

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

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

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

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

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

[0049] Figure 6A schematic diagram of the structure of a computer system of a vehicle suitable for implementing an embodiment of the present application is shown. DETAILED DESCRIPTION

[0050] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0051] In addition, described feature, structure or characteristic can be combined in one or more embodiments in any suitable manner. In the following description, many specific details are provided to provide a full understanding of the embodiments of the present application. However, those skilled in the art will appreciate that the technical scheme of the present application can be put into practice without one or more of the specific details, or other methods, components, devices, steps, etc. can be adopted. In other cases, known methods, devices, realizations or operations are not shown or described in detail to avoid blurring the various aspects of the application.

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

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

[0054] It should also be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the objects used in this way can be interchanged where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those shown or described.

[0055] See also Figure 1 , showing a flow chart of the energy management method of an embodiment of the present application.

[0056] like Figure 1 As shown, 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:

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

[0060] It should be noted that, when the vehicle's navigation is not turned on, or the vehicle turns on the navigation but does not drive according to the navigation instructions, 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 the 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 performing 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 or solar calendar date), and the vehicle controller determines whether this date is a statutory holiday or a weekend. Thus, 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 , showing a probability distribution diagram of historical vehicle locations according to an embodiment of the present application.

[0064] like Figure 2As shown, the historical travel location of the user's vehicle is obtained, for example, the location with the highest probability is home and company. For example, TBOX (telecommunication terminal) sends the longitude and latitude information of the vehicle to the controller, such as 114° east longitude and 30° north latitude. The controller obtains a number of longitude and latitude information, obtains the starting location and the end location of the user's vehicle within a period of time, and then analyzes and obtains the historical vehicle location probability distribution.

[0065] See also Figure 3 , showing a probability distribution diagram of the historical startup time of an embodiment of the present application.

[0066] like Figure 3 As shown, the start time of the user's vehicle within a period of time is obtained. For example, under commuting conditions, through big data analysis, it is determined that the user's working hours are 6:30 to 9:00, and the off-work hours are 17:00 to 21:00. There may also be two trips from 11:00 to 14:00 in the afternoon, so the number of times the vehicle is used in a day is 2 to 4 times. It is understandable that if the number of departures of the user in a day is greater than or equal to 5 times, only the departure time information of the first two times can be used; in addition, if the vehicle's driving distance is short, such as less than or equal to 3km, it can also be ignored. Exemplarily, TBOX (remote communication terminal) sends the starting time of the vehicle to the controller, and the controller obtains the start time of the user's vehicle within a period of time, and then can analyze and obtain the historical start time probability distribution diagram, for example, Figure 3 Among them, the probability of the start time in the period of 6.7-7.53 is the highest, the probability of the start time in the period of 19.7-20.35 is the second, and the probability of the start time in the period of 18.4-19.05 is the third.

[0067] See also Figure 4 , which shows a probability distribution diagram of historical driving distances according to an embodiment of the present application.

[0068] like Figure 4 As shown, the driving distance distribution of the user's vehicle within a period of time is obtained, and the distribution interval can be 5km as an interval, or 3km as an interval, or 2km as an interval, which is not limited here. Among them, the vehicle driving distance is the actual driving distance from the vehicle powering on to the powering off. For example, the navigation system sends the vehicle driving distance to the controller, and the controller obtains the start time of the user's vehicle within a period of time, and then analyzes and obtains the historical driving distance probability distribution diagram, for example, Figure 4 The probability of the distance interval of 11.4-15.2 is the highest, and the probability of the distance interval of 0-3.8 is the second highest. Therefore, the probability of driving distance distribution x i and distance interval d i The expected value S can be determined, that is, S = ∑x i *d i .

[0069] In some embodiments, when self-learning the user's historical vehicle usage habits, the historical driving power characteristics of the user's vehicle can also be analyzed, such as the maximum driving power and maximum recovery power in a single trip. Among them, 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 judged 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 the expected value can be calculated based on the probability distribution, and the expected value can reflect the user's maximum power demand and maximum braking demand.

[0070] In some embodiments, when self-learning the user's historical vehicle usage habits, the historical temperature change characteristics of the power battery of the user's vehicle can also be analyzed. Exemplarily, during the vehicle's driving, under different ambient temperatures and without thermal management of the power battery, the temperature change of the power battery in a single trip, such as the change in the temperature of the battery cell, is obtained. For example, based on the ambient temperature, the distance of a single trip, and the temperature change value of the battery cell under a single trip, a functional relationship z=f(x,y) is established, where z represents the temperature change value of the battery cell, x represents the ambient temperature, and y represents the distance of a single trip.

[0071] In addition, at the same travel distance, the vehicle speed also has an impact on the battery cell temperature. For example, the higher the speed, the more the battery cell temperature rises. For example, under commuting conditions, the vehicle speed is low and the battery cell temperature rises less, for example, 2°C, while under high-speed conditions, the battery cell temperature rises more, for example, 4°C. In the subsequent analysis of the battery temperature change characteristics, if the vehicle speed is high, for example, greater than 140km / h, the correction coefficient of the vehicle speed to the battery cell temperature change can be increased. For example, the correction coefficient is 2, that is, the battery cell temperature change at high speed is twice the battery cell temperature change under commuting conditions.

[0072] In some embodiments, when self-learning the user's historical vehicle usage habits, the historical passenger compartment temperature probability distribution and the like may also be analyzed.

[0073] It is understandable that the startup spatiotemporal parameter may refer to the time parameter and space parameter when the vehicle is started, wherein the time parameter may be the start time and the space parameter may be the start position. When analyzing the probability distribution of the spatiotemporal parameter, multiple spatiotemporal parameter intervals are set, each of which has a corresponding probability value, so that the probability values ​​of multiple spatiotemporal parameter intervals constitute the probability distribution of the spatiotemporal parameter.

[0074] Since the probability distribution of vehicle location, start time and driving distance under commuting conditions is learned in advance, when the probability value of the target space-time parameter where the start time-space parameter is located is greater than or equal to the probability threshold, such as greater than or equal to 50%, 60%, 70%, etc., it means that the interval accounts for a large proportion in the entire probability distribution. For example, the start time is located at Figure 3 The 6.7-7.35 period in the figure has a large proportion, which means that it is more likely to be in the commuting period. In this case, the most likely target driving distance under commuting conditions is obtained based on the historical driving distance probability distribution.

[0075] In some embodiments, 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:

[0076] Step S21. 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 starting position probability distribution of the vehicle history is greater than or equal to a first probability threshold;

[0077] Exemplarily, the longitude and latitude information of the start position is 114° east longitude and 30° north latitude, and the longitude and latitude are located in the target start position interval, and the first probability value of the interval is greater than or equal to 70%.

[0078] Step S22. The start time of the vehicle satisfies the preset time condition, and the preset time condition includes: the start position is located in a target start time interval, and the second probability value of the target time position interval in the historical start time probability distribution of the vehicle is greater than or equal to a second probability threshold.

[0079] Exemplarily, the start time is 7:00 in the morning, which is located in the target start time interval, and the first probability value of the interval is greater than or equal to 60%.

[0080] In some embodiments, determining the target driving distance according to the probability distribution of the historical driving distance of the vehicle includes:

[0081] Step S23. Obtaining the distribution probability of each driving distance and each distance interval of the vehicle history;

[0082] For example, the distance intervals include 0-3.8, 2.8-7.6, 11.4-15.2, 15.2-19, and 34.2-38. The driving distribution probabilities corresponding to the above intervals are 0.35, 0.01, 0.6, 0.005, and 0.007, respectively.

[0083] Step S24: determining an expected value according to each driving distance distribution probability and each distance interval, and taking the expected value as the target driving distance.

[0084] For example, under the above distance intervals and the above driving distance distribution probabilities, the expected value is: S = ∑x i *d i , where x i represents the driving distance distribution probability, d i Indicates the distance interval.

[0085] Step S30. Obtain a predicted value of temperature change of the power battery at the target driving distance, and determine whether the vehicle meets safe driving conditions based on the predicted value of temperature change; if so, control the vehicle to enter an energy management condition.

[0086] In some embodiments, obtaining a predicted value of a temperature change of the power battery at the target driving distance, and determining whether the vehicle meets a safe driving condition according to the predicted value of the temperature change, includes:

[0087] Step S31A. Obtaining a historical temperature change value of the power battery at the target driving distance, and using the historical temperature change value as the temperature change prediction value;

[0088] Based on the above, the embodiment of the present application can obtain the historical temperature change values ​​of the power battery at different driving distances in advance through self-learning.

[0089] Step S32A. Obtaining the temperature difference between the current temperature value of the power battery and the safety temperature threshold;

[0090] It is understandable that the safety temperature threshold is the minimum temperature value corresponding to when the performance of the power battery is not limited, such as the minimum temperature value corresponding to when the charge and discharge power is not limited. When the safety temperature threshold is exceeded, the discharge power of the power battery may decrease, thereby affecting the safe driving of the vehicle. For example: the safety temperature threshold is 50℃, 51℃, 55℃, etc., and the current temperature value is T1, then the temperature difference is 50-T1, 51-T1, 55-T1, etc.

[0091] 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.

[0092] In some embodiments, obtaining a predicted value of a temperature change of the power battery at the target driving distance, and determining whether the vehicle meets a safe driving condition according to the predicted value of the temperature change, includes:

[0093] Step S31 B. Obtaining a temperature difference between the current temperature value of the power battery and a safety temperature threshold, and using the temperature difference as the temperature change prediction value;

[0094] Step S32B. Obtaining the ambient temperature, and determining a safety distance threshold value corresponding to the ambient temperature and the temperature change prediction value based on a preset corresponding relationship, wherein the safety distance threshold value is the maximum driving distance of the vehicle when the battery temperature of the power battery is less than the safety temperature threshold value;

[0095] Based on the above, the embodiment of the present application can establish a functional relationship between battery temperature change, ambient temperature and driving distance through self-learning in advance, thereby determining the maximum driving distance corresponding to when the temperature of the power battery does not exceed the safety temperature threshold.

[0096] Step S33B: If the target driving distance is less than or equal to the safety distance threshold, the vehicle meets the safe driving condition.

[0097] In some embodiments, after controlling the vehicle to enter an energy management state, the method further includes:

[0098] 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.

[0099] Exemplarily, the first temperature threshold is less than the safety temperature threshold, for example, the first temperature threshold is 45° C., 48° C., etc.

[0100] It is understandable that when the ambient temperature is not very high (for example, greater than 25°C and less than 40°C), the temperature rise of the power battery is unlikely to exceed the safe temperature threshold. Therefore, for smaller levels of cooling needs, it is not necessary to respond, thereby saving energy and increasing the driving range. When the battery temperature exceeds the safe temperature threshold, the power battery needs to be cooled to ensure the safe driving of the vehicle.

[0101] It is understandable that when the ambient temperature is not very low (for example, greater than -10 degrees and less than 10 degrees), the charging and discharging efficiency of the power battery is less affected by the ambient temperature at this time, so the power battery can be left unheated, thereby saving energy consumption. At this time, the engine waste heat and motor waste heat can be fully utilized to heat the battery, thereby improving the waste heat utilization efficiency. When the ambient temperature is low, for example, below -10℃, the power battery needs to be heated, and the vehicle's coasting energy can also be fully utilized for heating.

[0102] In some embodiments, the vehicle includes an air conditioning system, and after controlling the vehicle to enter an energy management state, the method further includes:

[0103] During the driving of the vehicle, if the remaining distance of the target driving distance is less than or equal to the preset distance, the air conditioning system is adjusted as follows:

[0104] 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;

[0105] Alternatively, when the ambient temperature is less than or equal to a fourth temperature threshold, the air conditioning system is adjusted to a second target temperature, wherein the fourth temperature threshold is less than the third temperature threshold, and the second target temperature is less than the user preset temperature.

[0106] 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 needs 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 temperature set by the user is 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 lowered by 2-3 degrees. This can save energy.

[0107] In some embodiments, after controlling the vehicle to enter an energy management state, the method further includes:

[0108] If a user's demand for exiting 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;

[0109] The exit energy management demand includes: improving comfort demand and / or improving power demand.

[0110] The need to improve comfort is, for example, that after the temperature of the air-conditioning system is offset from the user's preset temperature, if the user readjusts the air-conditioning temperature, it means that the user does not accept the weakening of the performance of the air-conditioning system and believes that the comfort needs to be improved.

[0111] The demand for improving the power performance may be that the expected value of the user's maximum driving power distribution is greater than the maximum long-term discharge power of the power battery. If the above situation occurs multiple times during vehicle driving, it is considered that the user needs to improve the power performance.

[0112] Among them, the abnormal energy management condition may be that the temperature of the power battery cell exceeds the safety temperature threshold, or the actual driving distance of the vehicle exceeds the target driving distance, or the user has the intention to charge (for example, there is a charging station in the navigation path), etc.

[0113] Therefore, in the embodiment of the present application, when the vehicle navigation is turned on or not, there is no need for the support of a cloud-based big data platform, and the identification of commuting conditions and energy management strategies are deployed on the vehicle side, with low demand for computing and data storage. After entering the energy management condition, the energy consumption of the vehicle can be saved and the range can be improved by energy management of the battery temperature and / or air-conditioning system. When it is recognized that the user feedback is poor in comfort, poor in power, or there is an abnormality in the capacity management condition, the energy management condition can be exited in time to improve the user experience.

[0114] See also Figure 5 , showing a structural diagram of a vehicle energy management device according to an embodiment of the present application.

[0115] like Figure 5 As shown, the second aspect of the embodiment of the present application provides a vehicle energy management device 200, the vehicle includes a power battery, and the device 200 includes:

[0116] A first determining unit 201 is configured to determine a target driving distance of the vehicle according to navigation information if the navigation of the vehicle is turned on;

[0117] The second determining unit 202 is configured to determine the target driving distance according to the historical driving distance probability distribution of the vehicle when the startup spatiotemporal parameter of the vehicle satisfies a preset spatiotemporal parameter condition if the navigation of the vehicle is not turned on, wherein the preset spatiotemporal parameter condition includes: the startup spatiotemporal parameter is located in a target spatiotemporal parameter interval, and the probability value of the target spatiotemporal parameter interval in the spatiotemporal parameter probability distribution of the vehicle history is greater than or equal to a probability threshold;

[0118] The third determination unit 203 is used to obtain the predicted value of the temperature change of the power battery at the target driving distance, and determine whether the vehicle meets the safe driving conditions according to the predicted value of the temperature change. If so, control the vehicle to enter the energy management condition.

[0119] According to a third aspect of an embodiment of the present application, a computer-readable storage medium is provided, in which at least one computer program instruction is stored. The at least one computer program instruction is loaded and executed by a processor to implement the operations performed by any method described in the first aspect.

[0120] The computer readable storage medium may be a portable compact disk read-only memory (CD-ROM) and include program code, and may be run on a terminal device, such as 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 may be any tangible medium containing or storing a program, which may be used by or in combination with an instruction execution system, apparatus, or device.

[0121] The readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination thereof. More specific examples of readable storage media (a non-exhaustive list) include: an electrical connection with one or more conductors, a portable disk, 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 disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof.

[0122] Program code for performing the operations of the present application may be written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Java, C++, etc., and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user computing device, partially on the user device, as a separate software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computing device (e.g., via the Internet using an Internet service provider).

[0123] See also Figure 6 , which is a schematic diagram of the structure of a computer system of a vehicle suitable for implementing an embodiment of the present application.

[0124] According to a fourth aspect of an embodiment of the present application, a vehicle is provided, comprising 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 operations performed by any method of the first aspect.

[0125] like Figure 6As shown, the vehicle 400 is represented in the form of a general computing device. The components of the vehicle 400 may include, but are not limited to: at least one processing unit 410, at least one storage unit 420, and a bus 430 connecting different system components (including the storage unit 420 and the processing unit 410).

[0126] The storage unit stores program codes, which can be executed by the processing unit 410, so that the processing unit 410 executes the steps described in the above “Embodiment Method” section of this specification according to various exemplary implementations of the present application.

[0127] The storage unit 420 may include a readable medium in the form of a volatile storage unit, such as a random access memory unit (RAM) 421 and / or a cache 422 , and may further include a read-only memory unit (ROM) 423 .

[0128] The storage unit 420 may also include a program / utility 424 having a set (at least one) of program modules 425, such 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 or some combination may include an implementation of a network environment.

[0129] Bus 430 may represent one or more of several types of bus structures, including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.

[0130] The vehicle 400 may also communicate with one or more external devices 500 (e.g., keyboards, pointing devices, Bluetooth devices, etc.), one or more devices that enable a user to interact with the vehicle 400, and / or any device that enables the vehicle 400 to communicate with one or more other computing devices (e.g., routers, modems, etc.). Such communication may be performed via an I / O (input / output) interface 450, which may also be connected to a display unit 440 to display the communication content. Furthermore, the vehicle 400 may also communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) via a network adapter 460. As shown, the network adapter 460 communicates with other modules of the vehicle 400 via a bus 430. It should be understood that, although not shown in the figure, other hardware and / or software modules may be used in conjunction with the vehicle 400, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0131] The functions described herein may be implemented in hardware, software executed by a processor, firmware, or any combination thereof. If implemented in software executed by a processor, the functions may be stored as one or more instructions or codes on a computer-readable medium or transmitted via a computer-readable medium. Other examples and implementations are within the scope and spirit of the present invention and the appended claims. For example, due to the nature of software, the functions described above may be implemented using software executed by a processor, hardware, firmware, hard wiring, or a combination of any of these. In addition, each functional unit may be integrated into a processing unit, each unit may exist physically separately, or two or more units may be integrated into one unit.

[0132] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0133] The units described as separate components may or may not be physically separated, and the components of the control device may or may not be physical units, that is, they may be located in one place or distributed in multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0134] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the methods of various embodiments of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-On l yMemory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk, etc., various media that can store program codes.

[0135] The above description is only an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various modifications and variations. Any modification, equivalent substitution, improvement, etc. made within the spirit and principle of the present application shall be included in the scope of the 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 the navigation of the vehicle is turned on, determining the target driving distance of the vehicle according to the navigation information; If the navigation of the vehicle is not turned on, then when the startup spatiotemporal parameters of the vehicle meet the preset spatiotemporal parameter conditions, the target driving distance is determined according to the historical driving distance probability distribution of the vehicle, wherein the preset spatiotemporal parameter conditions include: the startup spatiotemporal parameters are located in a target spatiotemporal parameter interval, and the probability value of the target spatiotemporal parameter interval in the historical spatiotemporal parameter probability distribution of the vehicle is greater than or equal to a probability threshold; A predicted value of temperature change of the power battery at the target driving distance is obtained, and whether the vehicle meets safe driving conditions is determined according to the predicted value of temperature change. If so, the vehicle is controlled to enter an energy management condition.

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

3. The method according to claim 1, characterized in that The step of determining the target driving distance according to the probability distribution of the historical driving distance of the vehicle comprises: Obtaining each driving distance distribution probability and each distance interval of the vehicle 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, characterized in that: The obtaining of a predicted value of a temperature change of the power battery at the target driving distance, and determining whether the vehicle meets a safe driving condition according to the predicted value of the temperature change, includes: Acquire a historical temperature change value of the power battery at the target driving distance, and use the historical temperature change value as the temperature change prediction value; 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 value, the vehicle meets the safe driving condition.

5. The method according to claim 1, characterized in that The obtaining of a predicted value of a temperature change of the power battery at the target driving distance, and determining whether the vehicle meets a safe driving condition according to the predicted value of the temperature change, includes: Acquire a temperature difference between a current temperature value of the power battery and a safety temperature threshold, and use the temperature difference as the temperature change prediction value; Acquiring the ambient temperature, and determining a safety distance threshold value corresponding to the ambient temperature and the temperature change prediction value based on a preset corresponding relationship, wherein the safety distance threshold value is a maximum driving distance of the vehicle when the battery temperature of the power battery is less than the safety temperature threshold value; 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 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, and after controlling the vehicle to enter an energy management state, the method further includes: During the driving of the vehicle, if the remaining distance of the target driving distance is less than or equal to the 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, when the ambient temperature is less than or equal to a fourth temperature threshold, the air conditioning system is adjusted to a second target temperature, 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 state, the method further includes: If a user's demand for exiting 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 demand includes: improving comfort demand and / or improving power demand.

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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