Vehicle parameter acquisition method and device, vehicle, electronic equipment, medium and product

Abstract

The invention relates to a vehicle parameter acquisition method and device, a vehicle, electronic equipment, a medium and a product, and belongs to the technical field of electronics. The method comprises the following steps: acquiring respective first information of N time points of vehicle navigation planning; for the ith time point in the N-1 time points, according to the first information of the ith time point, the first information of the (i + 1) th time point, a plurality of first temperatures in a passenger compartment of the vehicle, the opening proportion of a plurality of air inlet grilles of the vehicle and the refrigerating capacity of a plurality of thermal management systems of the vehicle, the first temperature in the passenger compartment of the vehicle is calculated according to the first information of the ith time point, the first information of the (i + 1) th time point; obtaining an optimal combination corresponding to each first temperature at the ith time point; and selecting an optimal combination corresponding to the temperature of the passenger compartment at the ith time point from the plurality of optimal combinations at the ith time point to obtain a target optimal combination at the ith time point. According to the method, the opening proportion of the air inlet grille and the refrigerating capacity of the heat management system are obtained through a dynamic planning method, so that the refrigerating capacity of the air inlet grille and the refrigerating capacity of the heat management system are controlled, and the optimal energy consumption of the whole vehicle can be achieved.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of electronics, and particularly relates to a vehicle parameter acquisition method and device, a vehicle, an electronic device, a computer readable storage medium and a computer program product. BACKGROUND

[0002] Energy consumption is an important evaluation index of a pure electric vehicle, and is related to the cost and market competitiveness of the pure electric vehicle, and also affects the user driving experience. How to achieve optimal energy consumption of the vehicle in a high temperature environment is a problem that technicians in the field focus on. SUMMARY

[0003] In view of this, the purpose of the present application is to provide a vehicle parameter acquisition method and device, a vehicle, an electronic device, a medium and a product, so as to control the vehicle according to the vehicle parameters acquired by the present application in a high temperature environment, so as to achieve optimal energy consumption of the vehicle.

[0004] Embodiments of the present application are implemented as follows: In a first aspect, the embodiments of the present application provide a vehicle parameter acquisition method, comprising: acquiring first information of N time points of vehicle navigation planning, wherein N is an integer greater than 1, and the first information includes environmental temperature, altitude and vehicle speed; for the i-th time point of N-1 time points, i is taken as 1 to N-1 in turn; according to the first information of the i-th time point, the first information of the i+1-th time point, a plurality of first temperatures in the passenger compartment of the vehicle, a plurality of air inlet grille opening ratios of the vehicle, a plurality of refrigeration amounts of thermal management systems of the vehicle, obtaining an optimal combination corresponding to each of the first temperatures at the i-th time point, wherein the optimal combination includes an optimal air inlet grille opening ratio and an optimal thermal management system refrigeration amount; selecting the optimal combination corresponding to the passenger compartment temperature of the i-th time point from a plurality of optimal combinations of the i-th time point, to obtain a target optimal combination of the i-th time point.

[0005] In the above embodiments, when obtaining the optimal combination of targets at the i-th time point of the vehicle navigation plan, the optimal combination of each first temperature at the i-th time point is first obtained through various parameters (ambient temperature, altitude, vehicle speed, first temperature, grille opening ratio, and thermal management system cooling capacity at the i-th time point). Then, the optimal combination corresponding to the passenger compartment temperature at the i-th time point is selected from the multiple optimal combinations at the i-th time point. In this way, the grille opening ratio and thermal management system cooling capacity can be obtained in real time and accurately, ensuring that the engine always operates in the optimal operating range, while meeting the comfort requirements of the passenger compartment and reducing unnecessary energy consumption. This achieves optimal control of the vehicle's energy consumption in high-temperature environments and extends the vehicle's range. Furthermore, when obtaining the optimal combination of each first temperature at the i-th time point, the impact of ambient temperature, altitude, and vehicle speed at the (i+1)-th time point on the energy consumption at the i-th time point is considered. This dynamic programming method can effectively reduce energy consumption and improve economy.

[0006] In one possible implementation of the first aspect embodiment, the step of obtaining the optimal combination corresponding to each of the first temperatures at the i-th time point based on the first information at the i-th time point, the first information at the (i+1)-th time point, multiple first temperatures in the passenger compartment of the vehicle, multiple air intake grille opening ratios of the vehicle, and multiple thermal management system cooling capacities of the vehicle includes: for each first temperature at the i-th time point, obtaining multiple first vehicle energy consumptions corresponding to the first temperature based on the first information at the i-th time point, the first information at the (i+1)-th time point, the first temperature, multiple air intake grille opening ratios, and multiple thermal management system cooling capacities; wherein, one first vehicle energy consumption corresponds to one air intake grille opening ratio and one thermal management system cooling capacity; selecting the minimum first vehicle energy consumption from the multiple first vehicle energy consumptions corresponding to the first temperature; obtaining the air intake grille opening ratio and thermal management system cooling capacity corresponding to the minimum first vehicle energy consumption to obtain the optimal combination corresponding to the first temperature.

[0007] In the above embodiments, for each first temperature at the i-th time point, when obtaining the optimal combination corresponding to the first temperature, the first vehicle energy consumption under different parameter combinations is considered. This is because different parameter combinations jointly determine the vehicle's energy consumption. By comprehensively analyzing these dynamic parameter variables, the control strategy of the air intake grille and the cooling capacity of the thermal management system can be optimized in advance to ensure that the vehicle's energy consumption is minimized while meeting the comfort of the passenger compartment, thereby improving the vehicle's economy and safety.

[0008] In one possible implementation of the first aspect embodiment, the step of obtaining multiple first vehicle energy consumptions corresponding to the first temperature based on the first information at the i-th time point, the first information at the (i+1)-th time point, the first temperature, the multiple grille opening ratios, and the multiple thermal management system cooling capacities includes: obtaining multiple second vehicle energy consumptions corresponding to the first temperature based on the first information at the i-th time point, the first temperature, the multiple grille opening ratios, and the multiple thermal management system cooling capacities; for each of the multiple second vehicle energy consumptions corresponding to the first temperature, obtaining a third vehicle energy consumption at the (i+1)-th time point corresponding to the second vehicle energy consumption based on the first temperature, the grille opening ratio, the thermal management system cooling capacity, the first information at the i-th time point, and the first information at the (i+1)-th time point; and summing the second vehicle energy consumption and its corresponding third vehicle energy consumption to obtain the first vehicle energy consumption corresponding to the second vehicle energy consumption.

[0009] In the above embodiments, when obtaining the first vehicle energy consumption corresponding to the first temperature, not only the second vehicle energy consumption at the i-th time point is considered, but also the third vehicle energy consumption at the (i+1)-th time point. The advantage of doing so is that by taking into account the feedback effect of different parameter combinations at the (i+1)-th time point on the control strategy of the air intake grille and the cooling capacity of the thermal management system at the i-th time point, it can be ensured that the vehicle is always in the best operating state, and the optimal control of vehicle energy consumption can be achieved while satisfying the comfort of the passenger compartment.

[0010] In one possible implementation of the first aspect embodiment, the step of obtaining multiple second vehicle energy consumptions corresponding to the first temperature based on the first information at the i-th time point, the first temperature, multiple grille opening ratios, and multiple thermal management system cooling capacities includes: obtaining a first absolute value of the difference between the first temperature and a preset target passenger compartment temperature; obtaining multiple first battery system power corresponding to the first temperature based on the first information at the i-th time point, the first temperature, multiple grille opening ratios, and multiple thermal management system cooling capacities; and performing a weighted summation of each first battery system power with the first absolute value to obtain multiple second vehicle energy consumptions corresponding to the first temperature.

[0011] In the above embodiments, the difference between the first temperature and the preset target passenger compartment temperature determines the workload of the thermal management system, thus affecting the overall vehicle energy consumption; while the battery system power reflects the vehicle's power output demand, determining the energy consumption level of related vehicle systems. By comprehensively considering the influence of these two factors, comfort and energy consumption can be more accurately balanced, reducing energy consumption increases caused by excessive cooling or heating and unnecessary power output. In other words, by optimizing the coordinated operation of the thermal management system and the power system, optimal control of overall vehicle energy consumption can be achieved while satisfying passenger comfort, thereby improving the vehicle's economy and range.

[0012] In one possible implementation of the first aspect embodiment, the step of obtaining the power of multiple first battery systems corresponding to the first temperature based on the first information at the i-th time point, the first temperature, the opening ratio of multiple air intake grilles, and the cooling capacity of multiple thermal management systems includes: obtaining the power consumption of multiple thermal management systems corresponding to the first temperature based on the vehicle speed and ambient temperature in the first information at the i-th time point, the first temperature, the opening ratio of multiple air intake grilles, and the cooling capacity of multiple thermal management systems; for each thermal management system power consumption corresponding to the first temperature, obtaining the electric drive power corresponding to the thermal management system power consumption based on the opening ratio of the air intake grille corresponding to the thermal management system power consumption and the first information at the i-th time point; and obtaining the power of the first battery system corresponding to the thermal management system power consumption based on the thermal management system power consumption and its corresponding electric drive power.

[0013] In the above embodiments, the power consumed by the thermal management system is used to maintain the comfort of the passenger compartment and the normal operating temperature of the battery system; the electric drive power is the core power source for driving the vehicle. By considering both the power consumed by the thermal management system and the electric drive power, the energy demand of the battery system can be comprehensively evaluated, thereby achieving more precise energy management and ultimately achieving the optimal allocation of the vehicle's energy consumption.

[0014] In one possible implementation of the first aspect embodiment, the step of obtaining the third vehicle energy consumption at the (i+1)th time point corresponding to the second vehicle energy consumption based on the first temperature corresponding to the second vehicle energy consumption, the opening ratio of the air intake grille, the cooling capacity of the thermal management system, the first information at the i-th time point, and the first information at the (i+1)-th time point includes: obtaining the second temperature inside the passenger compartment of the vehicle at the (i+1)-th time point corresponding to the second vehicle energy consumption based on the first temperature corresponding to the second vehicle energy consumption, the cooling capacity of the thermal management system, and the first information at the i-th time point; obtaining the second absolute value of the difference between the second temperature corresponding to the second vehicle energy consumption and the target passenger compartment temperature; obtaining the second battery system power at the (i+1)-th time point corresponding to the second vehicle energy consumption based on the cooling capacity of the thermal management system, the opening ratio of the air intake grille, the first information at the (i+1)-th time point, and the second temperature; and weighted summing the second battery system power and the second absolute value to obtain the third vehicle energy consumption at the (i+1)-th time point corresponding to the second vehicle energy consumption.

[0015] In the above embodiment, calculating the second temperature inside the passenger compartment at the (i+1)th time point using the first information at the i-th time point allows for a more accurate prediction of the passenger compartment temperature change trend. This enables the vehicle's thermal management system to adjust the cooling or heating power in advance, ensuring that the passenger compartment temperature is always maintained within a comfortable range, while avoiding increased energy consumption due to over-adjustment. This not only improves passenger comfort but also optimizes overall vehicle energy consumption, achieving a balance between economy and comfort.

[0016] In one possible implementation of the first aspect embodiment, the method further includes: when i is greater than 1, obtaining the passenger compartment temperature at the i-th time point based on the passenger compartment temperature, ambient temperature, vehicle speed, and target optimal combination at the (i-1)-th time point.

[0017] In the above embodiment, the passenger compartment temperature at time point i is obtained by combining the passenger compartment temperature, ambient temperature, vehicle speed, and target optimal combination at time point i-1. This allows for more accurate prediction of passenger compartment temperature trends, enabling the vehicle's thermal management system to adjust cooling or heating power in advance to ensure the passenger compartment temperature remains within a comfortable range while avoiding increased energy consumption due to over-adjustment. This not only improves passenger comfort but also optimizes overall vehicle energy consumption, achieving a balance between economy and comfort.

[0018] In one possible implementation of the first aspect embodiment, obtaining the passenger compartment temperature at the i-th time point based on the passenger compartment temperature, ambient temperature, vehicle speed, and target optimal combination at the (i-1)-th time point includes: obtaining the passenger compartment heat load based on the ambient temperature, vehicle speed, and passenger compartment temperature at the (i-1)-th time point; obtaining the passenger compartment temperature change rate based on the passenger compartment heat load and the target optimal combination at the (i-1)-th time point; and obtaining the passenger compartment temperature at the i-th time point based on the passenger compartment temperature change rate and the passenger compartment temperature at the (i-1)-th time point.

[0019] In the above embodiment, the thermal load of the passenger compartment is calculated by using the ambient temperature, vehicle speed, and passenger compartment temperature at the (i-1)th time point, and then the passenger compartment temperature change rate is calculated. Based on the passenger compartment temperature change rate and the passenger compartment temperature at the (i-1)th time point, the passenger compartment temperature at the ith time point is obtained. This allows for more accurate dynamic prediction of passenger compartment temperature changes, thereby optimizing the control strategy of the thermal management system's cooling capacity and the air intake grille, improving passenger comfort while reducing energy consumption, and achieving optimal overall vehicle energy consumption.

[0020] Secondly, embodiments of this application provide a vehicle parameter acquisition device, comprising: a first acquisition module, configured to acquire first information for each of N time points in vehicle navigation planning, wherein N is an integer greater than 1, and the first information includes ambient temperature, altitude, and vehicle speed; a second acquisition module, configured to, for the i-th time point among N-1 time points, i sequentially taking values ​​from 1 to N-1; obtain, based on the first information of the i-th time point, the first information of the (i+1)-th time point, multiple first temperatures in the passenger compartment of the vehicle, multiple air intake grille opening ratios of the vehicle, and multiple thermal management system cooling capacities of the vehicle, an optimal combination corresponding to each of the first temperatures at the i-th time point, wherein the optimal combination includes an optimal air intake grille opening ratio and an optimal thermal management system cooling capacity; and a third acquisition module, configured to select the optimal combination corresponding to the passenger compartment temperature at the i-th time point from the multiple optimal combinations at the i-th time point, thereby obtaining the target optimal combination at the i-th time point.

[0021] Thirdly, embodiments of this application provide a vehicle, including: a controller for performing the methods provided in any possible implementation of the first aspect embodiments and / or in combination with the first aspect embodiments.

[0022] Fourthly, embodiments of this application provide an electronic device, including: a memory and a processor, the processor being connected to the memory; the memory being used to store a program; the processor being used to invoke the program stored in the memory to execute the method provided by any possible implementation of the first aspect embodiment and / or in combination with the first aspect embodiment.

[0023] Fifthly, embodiments of this application provide a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, performs the method provided by any possible implementation of the first aspect embodiments and / or in combination with the first aspect embodiments.

[0024] Sixthly, embodiments of this application provide a computer program product, the computer program product including a computer program, which, when run by a processor, performs the method provided by any possible implementation of the first aspect embodiment and / or in combination with the first aspect embodiment.

[0025] Other features and advantages of this application will be set forth in the following description. The objectives and other advantages of this application can be realized and obtained through the structures specifically pointed out in the written description and the accompanying drawings. Attached Figure Description

[0026] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the accompanying drawings used in the embodiments will be briefly described below. Obviously, the drawings described below are only some embodiments of this application, and those skilled in the art can obtain other drawings based on these drawings. The above and other objects, features, and advantages of this application will become clearer through the accompanying drawings.

[0027] Figure 1 A flowchart illustrating a vehicle parameter acquisition method provided in an embodiment of this application is shown.

[0028] Figure 2 This illustration shows a flowchart of obtaining an optimal combination according to an embodiment of this application. Figure 3 This illustration shows a flowchart of obtaining the first vehicle energy consumption according to an embodiment of this application.

[0029] Figure 4 A schematic diagram of a vehicle parameter acquisition device provided in an embodiment of this application is shown.

[0030] Figure 5 A schematic diagram of the structure of an electronic device provided in an embodiment of this application is shown. Detailed Implementation

[0031] The technical solutions of the embodiments of this application will now be described with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. The following embodiments are provided as examples to more clearly illustrate the technical solutions of this application, and should not be used to limit the scope of protection of this application. Those skilled in the art will understand that, without conflict, the following embodiments and features can be combined with each other.

[0032] It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. Furthermore, relational terms such as "first," "second," etc., in the description of this application are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus.

[0033] Furthermore, the term "and / or" in this application is merely a description of the relationship between related objects, indicating that there can be three relationships. For example, A and / or B can represent three situations: A exists alone, A and B exist simultaneously, and B exists alone.

[0034] In the description of the embodiments of this application, unless otherwise expressly specified and limited, the technical term "connection" can be a direct connection or an indirect connection through an intermediate medium.

[0035] This application provides a method for obtaining vehicle parameters. By using dynamic programming, the method comprehensively considers the influence of multiple parameters on the control strategy of the air intake grille and the cooling capacity of the thermal management system. This allows the air intake grille opening ratio and the cooling capacity of the thermal management system obtained in this way to control the cooling capacity of the air intake grille and the thermal management system, thereby achieving optimal vehicle energy consumption while meeting passenger comfort requirements.

[0036] The following is combined with Figure 1 The flowchart shown illustrates a method for acquiring vehicle parameters, which describes a method for acquiring vehicle parameters provided in this application embodiment. This method may include the following steps: Step S10: Obtain the first information for each of the N time points of the vehicle navigation plan.

[0037] Where N is an integer greater than 1, the first information includes ambient temperature, altitude and vehicle speed.

[0038] In step S10, the specific process of obtaining the first information for each of the N time points in the vehicle navigation plan may include: obtaining the first information of the vehicle navigation plan based on the vehicle navigation plan path information, the vehicle's real-time location information, the real-time traffic information of the vehicle navigation plan path, the ambient temperature, and the altitude; and discretizing the first information of the vehicle navigation plan at preset time intervals to obtain the first information for each of the N time points in the vehicle navigation plan. For example, if the total time for the vehicle navigation plan is 10 minutes, if the first information of the vehicle navigation plan for 10 minutes is discretized at 1-second time intervals, the first information for each of the 600 time points in the vehicle navigation plan can be obtained.

[0039] Real-time vehicle location and traffic information can be obtained through online map data. Online map data refers to map information updated and transmitted in real time via the internet, including road networks, traffic flow, and traffic events. This data helps users with real-time navigation, optimal route planning, and provides real-time traffic information. Ambient temperature and altitude along the vehicle's navigation planning route can be obtained through IoT technology. IoT technology is a system that integrates the internet, the Internet of Things, and intelligent technologies, enabling efficient information interaction between the vehicle and its external environment. In vehicle navigation planning, through IoT technology, the vehicle can obtain real-time information such as ambient temperature and altitude to optimize the navigation route and manage vehicle energy consumption.

[0040] Step S20: For the i-th time point out of N-1 time points; based on the first information of the i-th time point, the first information of the i+1-th time point, the multiple first temperatures in the passenger compartment of the vehicle, the opening ratio of multiple air intake grilles of the vehicle, and the cooling capacity of multiple thermal management systems of the vehicle, obtain the optimal combination corresponding to each of the first temperatures at the i-th time point.

[0041] Where i ranges from 1 to N-1. The first temperature can range from 20℃ to 45℃. The air intake grille is an important component at the front of the vehicle for airflow. It includes active and passive air intake grilles. In this application, the air intake grille refers to the active air intake grille. The air intake grille opening ratio can range from 0% to 100%. The thermal management system refers to the system in the vehicle used to regulate and control the temperature of various components. The cooling capacity of the thermal management system can range from 0W to 5000W. To save computational resources, when obtaining the optimal combination corresponding to each first temperature at the i-th time point, the first temperature, air intake grille opening ratio, and thermal management system cooling capacity can be selected at intervals within the range. The interval for the first temperature can be 0.5℃. The interval for the air intake grille opening ratio can be 10%. The interval for the thermal management system cooling capacity can be 200W. The aforementioned ranges and intervals for the first temperature, the intake grille opening ratio, and the thermal management system cooling capacity are merely illustrative and do not constitute a limitation on the respective ranges and intervals for the first temperature, the intake grille opening ratio, and the thermal management system cooling capacity. In specific implementations, those skilled in the art can adjust them as needed. The optimal combination includes the optimal intake grille opening ratio and the optimal thermal management system cooling capacity.

[0042] In step S20, obtaining the optimal combination corresponding to each first temperature at the i-th time point can be done starting from the (N-1)-th time point.

[0043] In one possible implementation, the specific process of obtaining the optimal combination corresponding to each first temperature at the i-th time point can be as follows: Figure 2 As shown below. (Combined with...) Figure 2 The flowchart shown illustrates the process of obtaining the optimal combination, which may include the following steps: Step S21: For each first temperature at the i-th time point, based on the first information at the i-th time point, the first information at the (i+1)-th time point, the first temperature, the opening ratio of multiple air intake grilles, and the cooling capacity of multiple thermal management systems, obtain multiple first vehicle energy consumptions corresponding to the first temperature.

[0044] Among them, the first vehicle energy consumption corresponds to the air intake grille opening ratio and the cooling capacity of the thermal management system.

[0045] In one possible implementation, the specific process for obtaining the first vehicle energy consumption can be as follows: Figure 3 As shown below. (Combined with...) Figure 3 The flowchart shown illustrates the process of obtaining the first vehicle energy consumption, which includes the following steps: Step S210: Based on the first information at the i-th time point, the first temperature, the opening ratio of multiple air intake grilles, and the cooling capacity of multiple thermal management systems, obtain multiple second vehicle energy consumptions corresponding to the first temperature.

[0046] In step S210, the specific process of obtaining the multiple second vehicle energy consumptions corresponding to the first temperature includes: obtaining the first absolute value of the difference between the first temperature and the preset target passenger compartment temperature; obtaining the multiple first battery system power corresponding to the first temperature based on the first information at the i-th time point, the first temperature, the opening ratio of multiple air intake grilles, and the cooling capacity of multiple thermal management systems; and weighted summing of each first battery system power with the first absolute value to obtain the multiple second vehicle energy consumptions corresponding to the first temperature.

[0047] The target passenger compartment temperature can be set to 23°C. The battery system refers to the device that provides electrical energy to the vehicle, used to drive the electric motor or power the vehicle's electronic equipment and auxiliary systems. The performance of the battery system directly affects the vehicle's power output, driving range, and overall efficiency.

[0048] In one possible implementation, the energy consumption of the second vehicle can be expressed by the following formula:

[0049] In Formula 1, The second is the vehicle's overall energy consumption. As a state variable, the first temperature is chosen. To control the variables, we selected the grille opening ratio and the cooling capacity of the thermal management system. For a point in time, , These are the weighting coefficients. The power of the first battery system is related to the first information, the first temperature, the opening ratio of the air intake grille, and the cooling capacity of the thermal management system at the i-th time point. The first temperature, This is the preset target cabin temperature. It can be 0.4. It can be 0.6. (This is from an embodiment of the present application.) , The values ​​are merely illustrative and should not be taken as definitive representations. , Restrictions on the range of values.

[0050] In one possible implementation, the specific process of obtaining the power of multiple first battery systems corresponding to the first temperature includes: obtaining the power consumption of multiple thermal management systems corresponding to the first temperature based on the vehicle speed and ambient temperature, the first temperature, the opening ratio of multiple air intake grilles, and the cooling capacity of multiple thermal management systems in the first information at the i-th time point; for each thermal management system power consumption corresponding to the first temperature, obtaining the electric drive power corresponding to the thermal management system power consumption based on the opening ratio of the air intake grille corresponding to the thermal management system power consumption and the first information at the i-th time point; and obtaining the power of the first battery system corresponding to the thermal management system power consumption based on the thermal management system power consumption and its corresponding electric drive power. The combined power of the first battery system corresponding to each thermal management system power consumption yields the power of multiple first battery systems corresponding to the first temperature.

[0051] The power consumption of the thermal management system refers to the electrical or mechanical energy consumed by the vehicle's thermal management system (including air conditioning, heaters, cooling fans, etc.) during operation. It reflects the energy required by the thermal management system to maintain the temperature balance of the vehicle and passenger compartment. Electric drive power refers to the power output of the vehicle's electric drive system (including motors, controllers, etc.) during operation, used to propel the vehicle. It is a key indicator for measuring the power performance of electric vehicles, directly affecting the vehicle's acceleration, top speed, and driving range.

[0052] The power consumption of the thermal management system can be expressed by the following formula:

[0053] In Formula 2, Power consumed by the thermal management system. This refers to the cooling capacity of the thermal management system. The efficiency of the thermal management system is related to the ambient temperature, vehicle speed, the first temperature, the opening ratio of the air intake grille, and the cooling capacity of the thermal management system, as indicated by the first piece of information. Specifically, the air intake grille affects the airflow into the condenser, thus influencing the efficiency of the thermal management system. The condenser is a crucial component of the thermal management system, primarily responsible for cooling the refrigerant from a gaseous state to a liquid state, releasing heat to the external environment.

[0054] When the ambient temperature, initial temperature, vehicle speed, grille opening ratio, and thermal management system cooling capacity are determined, the thermal management system efficiency can be determined according to a preset first table. This preset first table stores the thermal management system efficiency along with its corresponding ambient temperature, initial temperature, vehicle speed, grille opening ratio, and thermal management system cooling capacity. The preset first table is obtained by discretizing the initial temperature, ambient temperature, vehicle speed, grille opening ratio, and thermal management system cooling capacity, and then using simulation or experimentation to measure the thermal management system efficiency under different initial temperatures, ambient temperatures, vehicle speeds, grille opening ratios, and thermal management system cooling capacities. When testing the efficiency of the thermal management system, the ambient temperature and the first temperature can both be set between 20℃ and 45℃, with a value interval of 0.5℃; the vehicle speed can be set between 0m / s and 36m / s, with a value interval of 2 m / s; the grille opening ratio can be set between 0% and 100%, with a value interval of 10%; and the cooling capacity of the thermal management system can be set between 0W and 5000W, with a value interval of 200W.

[0055] The electric drive power can be expressed by the following formula three:

[0056] In Formula 3, This refers to the electric drive power. It is the efficiency of the electric drive system, which is related to the opening ratio of the air intake grille and the first information. The power required for the vehicle's wheels is also related to the opening ratio of the air intake grille and the first information. The values ​​can be obtained from the vehicle motor speed, motor torque, and a preset second table. The preset second table stores the electric drive system efficiency and its corresponding motor speed and torque. The motor speed can be calculated using the following formula:

[0057] In Formula 4, This represents the motor speed. The speed is the vehicle speed. Where is the rolling radius of the vehicle tires. The motor torque can be calculated using the following formula:

[0058] In Formula 5, This represents the motor torque. This refers to the resistance a vehicle experiences while traveling on a road. It mainly includes rolling resistance, air resistance, and transmission system internal resistance. Rolling resistance refers to the resistance generated by the deformation of the tires when they contact the ground during vehicle operation; this can be obtained through the vehicle's central control system. Transmission system internal resistance refers to the resistance torque or energy loss generated by the mechanical actions of friction, meshing, and agitation between various components during power transmission in the vehicle's transmission system. Its main sources include gear meshing friction, bearing friction, clutch wear, and oil churning losses. The calculation can be performed using the following formula six:

[0059] In Formula Six, This represents rolling resistance. This refers to air resistance. is the internal resistance of the transmission system. Wherein, It is related to the drag coefficient, frontal area, air density, and vehicle speed. The calculation can be performed using the following formula seven:

[0060] In Formula 7, It refers to air density, which is related to altitude and ambient temperature. This refers to the vehicle's frontal area. and All of these can be obtained through the vehicle's central controller. The drag coefficient can be obtained based on the grille opening ratio, vehicle speed, and a preset third table. This preset third table stores the drag coefficient and its corresponding grille opening ratio and vehicle speed. The preset third table can be obtained through simulation testing using CFD (Computational Fluid Dynamics) software. When testing the drag coefficient using CFD simulation software, the grille opening ratio can range from 0% to 100%, with value intervals of 10%; the vehicle speed can range from 10 km / h to 130 km / h, with value intervals of 10 km / h.

[0061] The calculation can be performed using the following formula:

[0062] In one possible implementation, the power consumption of the thermal management system corresponding to the power of the first battery system can be expressed as shown in Formula Nine below:

[0063] In Formula Nine, The power consumption of the low-voltage accessory system can be obtained through the vehicle's central controller. The power consumption of the low-voltage accessory system refers to the total electrical power consumed by all low-voltage electrical equipment (usually powered by 12V or 24V) in the vehicle when it is operating normally. It can be 400W.

[0064] Step S211: For each of the multiple second vehicle energy consumptions corresponding to the first temperature, based on the first temperature, the opening ratio of the air intake grille, the cooling capacity of the thermal management system, the first information at the i-th time point, and the first information at the i+1-th time point, obtain the third vehicle energy consumption at the i+1-th time point corresponding to the second vehicle energy consumption.

[0065] In step S211, the specific process of obtaining the third vehicle energy consumption at the (i+1)th time point corresponding to the second vehicle energy consumption includes: obtaining the second temperature inside the passenger compartment of the vehicle at the (i+1)th time point corresponding to the second vehicle energy consumption based on the first temperature corresponding to the second vehicle energy consumption, the cooling capacity of the thermal management system, and the first information at the i-th time point; obtaining the second absolute value of the difference between the second temperature corresponding to the second vehicle energy consumption and the target passenger compartment temperature; obtaining the second battery system power at the (i+1)th time point corresponding to the second vehicle energy consumption based on the cooling capacity of the thermal management system corresponding to the second vehicle energy consumption, the opening ratio of the air intake grille, the first information at the (i+1)th time point, and the second temperature; and weighted summing the second battery system power and the second absolute value to obtain the third vehicle energy consumption at the (i+1)th time point corresponding to the second vehicle energy consumption.

[0066] The third aspect, vehicle energy consumption, can be expressed by the following formula:

[0067] In Formula 10, This is the third category of vehicle energy consumption. The power of the second battery can be calculated according to Formula Nine. The second temperature is related to the first temperature, the cooling capacity of the thermal management system, and the first information at the i-th time point. This can be expressed using the following formula eleven:

[0068] In Formula 11, This refers to the air density inside the passenger compartment of the vehicle. This refers to the air volume inside the passenger compartment of a vehicle. It is the specific heat capacity of the air inside the passenger compartment of the vehicle. , and All of these can be obtained through the vehicle's central controller. Let be the cooling capacity of the thermal management system corresponding to any second vehicle energy consumption at the i-th time point. The heat load of the passenger compartment at time point i is related to the first temperature corresponding to the second vehicle energy consumption and the first information at time point i. The heat load of the passenger compartment mainly comes from the external environment and the internal environment. The external environment heat load includes: solar radiation and convective heat transfer between hot air outside the vehicle and the vehicle body heat exchange structure. Among them, the vehicle body heat exchange structure mainly includes the front and rear windshields, side windows, roof, undercarriage, and side panels. The internal environment heat load includes: heat dissipated by the occupants and the heat load of fresh air. This can be expressed as the following formula twelve:

[0069] In Formula Twelve, Heat transferred to the car's windows. Heat transferred to the vehicle body structure. The heat generated for drivers and passengers. This refers to the heat transferred in by fresh air. It consists of two parts: one part is the heat transferred by sunlight through the glass; the other part is the heat transferred by convective heat transfer on the surface of the glass. The calculation can be performed using Formula Thirteen:

[0070] In Formula Thirteen, denoted as the glass transmittance coefficient. This is the equivalent area of ​​the glass when sunlight shines perpendicularly on it. This represents the intensity of solar radiation. denoted as the glass convection heat transfer coefficient. This represents the heat transfer area of ​​the glass. The temperature difference between the inside and outside of the glass can be obtained from the first temperature and the ambient temperature. For example, when calculating the second temperature at the (i+1)th time point corresponding to any second vehicle energy consumption, it can be obtained from the ambient temperature at the ith time point and the first temperature corresponding to that second vehicle energy consumption. .

[0071] The following formula fourteen can be used for calculation:

[0072] In Formula Fourteen, The convective heat transfer coefficient of the vehicle body structure. This refers to the heat exchange area of ​​the vehicle body structure. The temperature difference between the inside and outside of the vehicle body structure can be obtained from the first temperature and the ambient temperature.

[0073] and All can be calculated using the following formula fifteen:

[0074] In Formula 15, The coefficient of convective heat transfer inside the vehicle. This is the external convective heat transfer coefficient of the vehicle, which is related to the vehicle speed. It is the sum of the thermal conductivity of the materials used in the vehicle body.

[0075] The following formula sixteen can be used for calculation:

[0076] In Formula Sixteen, This refers to the number of people inside the vehicle. The average daily calorie output. It can be 100W.

[0077] The following formula (17) can be used for calculation:

[0078] In Formula Seventeen, The fresh air volume specified by hygiene standards. This is the specific enthalpy of the air outside the crew compartment. This refers to the specific enthalpy of the air inside the crew compartment. and It is related to the initial temperature and the ambient temperature.

[0079] Step S212: Sum the second vehicle energy consumption and its corresponding third vehicle energy consumption to obtain the first vehicle energy consumption corresponding to the second vehicle energy consumption.

[0080] In step S212, the first vehicle energy consumption can be expressed by the following formula eighteen:

[0081] In Formula 18, This is the first vehicle energy consumption.

[0082] Step S22: Select the smallest first vehicle energy consumption from the multiple first vehicle energy consumptions corresponding to the first temperature.

[0083] As shown above, the total minimum first vehicle energy consumption at each first temperature over N-1 time points can be expressed by Formula 19:

[0084] Step S23: Obtain the air intake grille opening ratio and thermal management system cooling capacity corresponding to the minimum first vehicle energy consumption, and obtain the optimal combination corresponding to the first temperature.

[0085] In step S23, any temperature at the i-th time point corresponds to an intake grille opening ratio and a thermal management system cooling capacity.

[0086] Step S30: Select the optimal combination corresponding to the cabin temperature at the i-th time point from multiple optimal combinations to obtain the target optimal combination at the i-th time point.

[0087] In step S30, the target optimal combination can be obtained sequentially from the first time point to the (N-1)th time point. In this implementation, the passenger compartment temperature at the first time point is the current passenger compartment temperature of the vehicle. When i is greater than 1, the passenger compartment temperature at the i-th time point can be obtained based on the passenger compartment temperature at the (i-1)th time point, the ambient temperature, the vehicle speed, and the target optimal combination.

[0088] Among them, the optimal combination of passenger cabin temperature, ambient temperature, vehicle speed and target is at the (i-1)th time point.

[0089] In one possible implementation, the specific process of obtaining the passenger compartment temperature at the i-th time point may include: obtaining the passenger compartment heat load based on the ambient temperature, vehicle speed, and passenger compartment temperature at the (i-1)-th time point; obtaining the passenger compartment temperature change rate based on the passenger compartment heat load and the target optimal combination at the (i-1)-th time point; and obtaining the passenger compartment temperature at the i-th time point based on the passenger compartment temperature change rate and the passenger compartment temperature at the (i-1)-th time point.

[0090] The passenger compartment heat load can be obtained using Formula Twelve. When obtaining the passenger compartment heat load using Formula Twelve, the ambient temperature, vehicle speed, and passenger compartment temperature at the (i-1)th time point are used. The passenger compartment temperature change rate can be... Let be the value. The temperature of the crew cabin at the i-th time point can be obtained using Formula 11.

[0091] The following example illustrates a vehicle parameter acquisition method provided in this application. First information for each of the five time points in the vehicle navigation planning is obtained. From the fifth time point to the first time point, the first vehicle energy consumption corresponding to each first temperature at each time point is calculated sequentially. For each first temperature at the fifth time point, all first vehicle energy consumption corresponding to that temperature is set to 0. Then, the first vehicle energy consumption corresponding to each first temperature at each time point from the fourth time point to the first time point can be calculated using Formula 18, and the third vehicle energy consumption corresponding to each first temperature at the fourth time point is zero. For each first temperature at each time point from the fourth time point to the first time point, the smallest first vehicle energy consumption is selected from the multiple first vehicle energy consumptions corresponding to that first temperature; the grille opening ratio and thermal management system cooling capacity corresponding to the smallest first vehicle energy consumption are obtained, yielding the optimal combination corresponding to that first temperature. Thus, the optimal combinations corresponding to multiple first temperatures can form the optimal combination corresponding to each first temperature at each time point from the fourth time point to the first time point. Then, starting from the first time point to the fourth time point, the optimal combination corresponding to the passenger compartment temperature at each time point is selected from multiple optimal combinations. This yields the target optimal combination for each time point. The target optimal combinations from the first to the fourth time points constitute the optimal control strategy for the cooling capacity of the air intake grille and thermal management system in the vehicle navigation planning. By controlling the cooling capacity of the air intake grille and thermal management system according to the optimal control strategy in the vehicle navigation planning, optimal vehicle energy consumption can be achieved.

[0092] like Figure 4 As shown, Figure 4 A schematic diagram of a vehicle parameter acquisition device provided in an embodiment of this application is shown. The vehicle parameter acquisition device 10 includes a first acquisition module 11, a second acquisition module 12, and a third acquisition module 13.

[0093] The first acquisition module 11 is used to acquire the first information of each of the N time points of the vehicle navigation plan, where N is an integer greater than 1, and the first information includes ambient temperature, altitude and vehicle speed.

[0094] The second acquisition module 12 is used to obtain the optimal combination of each first temperature at the i-th time point among N-1 time points, i taking values ​​from 1 to N-1 in sequence; based on the first information at the i-th time point, the first information at the (i+1)-th time point, multiple first temperatures in the passenger compartment of the vehicle, multiple air intake grille opening ratios of the vehicle, and multiple thermal management system cooling capacities of the vehicle, the optimal combination includes the optimal air intake grille opening ratio and the optimal thermal management system cooling capacity.

[0095] The third acquisition module 13 is used to select the optimal combination corresponding to the cabin temperature at the i-th time point from multiple optimal combinations at the i-th time point, and obtain the target optimal combination at the i-th time point.

[0096] In one possible implementation, the second acquisition module 12 is specifically used to, for each first temperature at the i-th time point, obtain multiple first vehicle energy consumptions corresponding to the first temperature based on the first information at the i-th time point, the first information at the (i+1)-th time point, the first temperature, multiple air intake grille opening ratios, and multiple thermal management system cooling capacities; wherein, one first vehicle energy consumption corresponds to one air intake grille opening ratio and one thermal management system cooling capacity; select the minimum first vehicle energy consumption from the multiple first vehicle energy consumptions corresponding to the first temperature; obtain the air intake grille opening ratio and thermal management system cooling capacity corresponding to the minimum first vehicle energy consumption to obtain the optimal combination corresponding to the first temperature.

[0097] In one possible implementation, the second acquisition module 12 is specifically used to obtain multiple second vehicle energy consumptions corresponding to the first temperature based on the first information at the i-th time point, the first temperature, multiple air intake grille opening ratios, and multiple thermal management system cooling capacities; for each of the multiple second vehicle energy consumptions corresponding to the first temperature, based on the first temperature, air intake grille opening ratio, thermal management system cooling capacity, the first information at the i-th time point, and the first information at the (i+1)-th time point, obtain the third vehicle energy consumption at the (i+1)-th time point corresponding to the second vehicle energy consumption; and sum the second vehicle energy consumption and its corresponding third vehicle energy consumption to obtain the first vehicle energy consumption corresponding to the second vehicle energy consumption.

[0098] In one possible implementation, the second acquisition module 12 is specifically used to acquire the first absolute value of the difference between the first temperature and the preset target passenger compartment temperature; based on the first information at the i-th time point, the first temperature, the opening ratio of multiple air intake grilles, and the cooling capacity of multiple thermal management systems, to obtain multiple first battery system power corresponding to the first temperature; and to perform a weighted summation of each first battery system power with the first absolute value to obtain multiple second vehicle energy consumption corresponding to the first temperature.

[0099] In one possible implementation, the second acquisition module 12 is specifically used to obtain the power consumption of multiple thermal management systems corresponding to the first temperature based on the vehicle speed and ambient temperature, the first temperature, the opening ratio of multiple air intake grilles, and the cooling capacity of multiple thermal management systems in the first information at the i-th time point; for each thermal management system power consumption corresponding to the first temperature, the electric drive power corresponding to the thermal management system power consumption is obtained based on the opening ratio of the air intake grille corresponding to the thermal management system power consumption and the first information at the i-th time point; and the first battery system power corresponding to the thermal management system power consumption is obtained based on the thermal management system power consumption and its corresponding electric drive power.

[0100] In one possible implementation, the second acquisition module 12 is specifically used to obtain the second temperature inside the passenger compartment of the vehicle at the (i+1)th time point corresponding to the second vehicle energy consumption, based on the first temperature corresponding to the second vehicle energy consumption, the cooling capacity of the thermal management system, and the first information at the i-th time point; obtain the second absolute value of the difference between the second temperature corresponding to the second vehicle energy consumption and the target passenger compartment temperature; obtain the second battery system power at the (i+1)th time point corresponding to the second vehicle energy consumption, based on the cooling capacity of the thermal management system corresponding to the second vehicle energy consumption, the opening ratio of the air intake grille, the first information at the (i+1)th time point, and the second temperature; and perform a weighted summation of the second battery system power and the second absolute value to obtain the third vehicle energy consumption at the (i+1)th time point corresponding to the second vehicle energy consumption.

[0101] In one possible implementation, the third acquisition module 13 is further configured to obtain the passenger compartment temperature at the i-th time point based on the passenger compartment temperature, ambient temperature, vehicle speed, and target optimal combination at the (i-1)-th time point when i is greater than 1.

[0102] In one possible implementation, the third acquisition module 13 is specifically used to obtain the passenger compartment heat load based on the ambient temperature, vehicle speed, and passenger compartment temperature at the (i-1)th time point; to obtain the passenger compartment temperature change rate based on the passenger compartment heat load and the target optimal combination at the (i-1)th time point; and to obtain the passenger compartment temperature at the i-th time point based on the passenger compartment temperature change rate and the passenger compartment temperature at the (i-1)th time point.

[0103] The vehicle parameter acquisition device 10 provided in this application embodiment has the same implementation principle and technical effect as the aforementioned vehicle parameter acquisition method embodiment. For the sake of brevity, any parts not mentioned in the device embodiment can be referred to the corresponding content in the aforementioned vehicle parameter acquisition method embodiment.

[0104] This application also provides a vehicle, which can be a pure electric vehicle. The vehicle may include a controller for executing the methods disclosed in any of the embodiments shown above. In one possible implementation, the controller may include a central controller and a controller for a thermal management system. The central controller executes the methods disclosed in any of the embodiments shown above and sends the optimal combination of targets for each of the N time points of the vehicle navigation plan to the controller of the thermal management system. The controller of the thermal management system controls the vehicle's air intake grille and the cooling capacity of the thermal management system according to the optimal combination of targets for each of the N time points of the vehicle navigation plan.

[0105] like Figure 5 As shown, Figure 5 This diagram illustrates a structural block diagram of an electronic device 20 according to an embodiment of this application. The electronic device 20 includes a processor 21 and a memory 22. The electronic device 20 can be a controller.

[0106] It should be noted that Figure 5 The components and structure of the electronic device 20 shown are merely exemplary and not limiting. The electronic device 20 may also have other components and structures as needed.

[0107] The processor 21, memory 22, and other components that may be present in the electronic device 20 are electrically connected directly or indirectly to each other to enable data transmission or interaction. For example, the processor 21, memory 22, and other components may be electrically connected to each other via one or more communication buses or signal lines.

[0108] The memory 22 is used to store programs, such as programs corresponding to the vehicle parameter acquisition method or the vehicle parameter acquisition device mentioned above. Optionally, when the memory 22 stores a vehicle parameter acquisition device, the vehicle parameter acquisition device includes at least one software function module that can be stored in the memory 22 in the form of software or firmware.

[0109] The processor 21 is used to execute executable modules stored in the memory 22, such as software function modules or computer programs included in the vehicle parameter acquisition device, to execute the vehicle parameter acquisition method described above.

[0110] Of course, the methods disclosed in any embodiment of this application can be applied to processor 21, or implemented by processor 21.

[0111] The memory 22 may be, but is not limited to, random access memory (RAM), read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), etc.

[0112] Processor 21 may be an integrated circuit chip with signal processing capabilities. The aforementioned processor can be a general-purpose processor, including a Central Processing Unit (CPU), Network Processor (NP), Graphics Processing Unit (GPU), Accelerated Processing Unit (ACCU), Multimedia Application Processor (MAP), microprocessor, etc.; it can also be a Digital Signal Processor (DSP), Application Specific Integrated Circuit (ASIC), Field Programmable Gate Array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. It can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this application. Alternatively, processor 21 can also be any conventional processor.

[0113] This application also provides a non-volatile computer-readable storage medium (hereinafter referred to as the storage medium) storing a computer program, which, when run by a computer such as the electronic device 20 described above, executes the vehicle parameter acquisition method disclosed in any of the embodiments shown above.

[0114] This application also provides a computer program product, which includes a computer program that, when run by processor 21, executes the vehicle parameter acquisition method disclosed in any of the embodiments shown above.

[0115] It should be noted that the various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.

[0116] In addition, the functional modules in the various embodiments of this application can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.

[0117] If the aforementioned functions are implemented as software functional modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a computer-readable storage medium and includes several instructions to cause a computer device (which may be a personal computer, laptop, server, or electronic device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned computer-readable storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0118] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for obtaining vehicle parameters, characterized in that, include: Obtain the first information for each of the N time points of the vehicle navigation plan, where N is an integer greater than 1, and the first information includes ambient temperature, altitude and vehicle speed; For the i-th time point out of N-1 time points, where i takes values ​​from 1 to N-1; based on the first information at the i-th time point, the first information at the (i+1)-th time point, multiple first temperatures in the passenger compartment of the vehicle, multiple air intake grille opening ratios of the vehicle, and multiple thermal management system cooling capacities of the vehicle, the optimal combination corresponding to each of the first temperatures at the i-th time point is obtained, wherein the optimal combination includes the optimal air intake grille opening ratio and the optimal thermal management system cooling capacity; From the multiple optimal combinations at the i-th time point, the optimal combination corresponding to the cabin temperature at the i-th time point is selected to obtain the target optimal combination at the i-th time point.

2. The method according to claim 1, characterized in that, The step of obtaining the optimal combination corresponding to each of the first temperatures at the i-th time point based on the first information at the i+1-th time point, the multiple first temperatures in the passenger compartment of the vehicle, the multiple air intake grille opening ratios of the vehicle, and the cooling capacity of the multiple thermal management systems of the vehicle includes: For each first temperature at the i-th time point, based on the first information at the i-th time point, the first information at the (i+1)-th time point, the first temperature, the multiple opening ratios of the air intake grilles, and the multiple cooling capacities of the thermal management system, multiple first vehicle energy consumptions corresponding to the first temperature are obtained; wherein, one first vehicle energy consumption corresponds to one opening ratio of the air intake grille and one cooling capacity of the thermal management system. Select the smallest first vehicle energy consumption from among the multiple first vehicle energy consumptions corresponding to the first temperature; Obtain the minimum first vehicle energy consumption corresponding to the air intake grille opening ratio and the cooling capacity of the thermal management system, and obtain the optimal combination corresponding to the first temperature.

3. The method according to claim 2, characterized in that, The step of obtaining multiple first vehicle energy consumptions corresponding to the first temperature based on the first information at the i-th time point, the first information at the (i+1)-th time point, the first temperature, multiple opening ratios of the air intake grilles, and multiple cooling capacities of the thermal management systems includes: Based on the first information at the i-th time point, the first temperature, the opening ratio of multiple air intake grilles, and the cooling capacity of multiple thermal management systems, multiple second vehicle energy consumptions corresponding to the first temperature are obtained. For each of the multiple second vehicle energy consumptions corresponding to the first temperature, the third vehicle energy consumption at the (i+1)th time point is obtained based on the first temperature, the opening ratio of the air intake grille, the cooling capacity of the thermal management system, the first information at the i-th time point, and the first information at the (i+1)-th time point. The second vehicle energy consumption and its corresponding third vehicle energy consumption are summed to obtain the first vehicle energy consumption corresponding to the second vehicle energy consumption.

4. The method according to claim 3, characterized in that, The step of obtaining multiple second vehicle energy consumptions corresponding to the first temperature based on the first information at the i-th time point, the first temperature, multiple opening ratios of the air intake grilles, and multiple cooling capacities of the thermal management systems includes: Obtain the first absolute value of the difference between the first temperature and the preset target crew cabin temperature; Based on the first information at the i-th time point, the first temperature, the opening ratio of multiple air intake grilles, and the cooling capacity of multiple thermal management systems, the power of multiple first battery systems corresponding to the first temperature is obtained. The power of each of the first battery systems is weighted and summed with the first absolute value to obtain multiple second vehicle energy consumptions corresponding to the first temperature.

5. The method according to claim 4, characterized in that, The step of obtaining the power of multiple first battery systems corresponding to the first temperature based on the first information at the i-th time point, the first temperature, the opening ratio of multiple air intake grilles, and the cooling capacity of multiple thermal management systems includes: Based on the vehicle speed and ambient temperature in the first information at the i-th time point, the first temperature, the opening ratio of multiple air intake grilles, and the cooling capacity of multiple thermal management systems, the power consumption of multiple thermal management systems corresponding to the first temperature is obtained. For each thermal management system power consumption among the multiple thermal management system power consumption corresponding to the first temperature, the electric drive power corresponding to the thermal management system power consumption is obtained according to the air intake grille opening ratio corresponding to the thermal management system power consumption and the first information at the i-th time point. The power of the first battery system corresponding to the power consumed by the thermal management system is obtained based on the power consumed by the thermal management system and the corresponding electric drive power.

6. The method according to claim 3, characterized in that, The step of obtaining the third vehicle energy consumption at the (i+1)th time point corresponding to the second vehicle energy consumption based on the first temperature corresponding to the second vehicle energy consumption, the opening ratio of the air intake grille, the cooling capacity of the thermal management system, the first information at the i-th time point, and the first information at the (i+1)-th time point includes: Based on the first temperature corresponding to the second vehicle energy consumption, the cooling capacity of the thermal management system, and the first information at the i-th time point, the second temperature inside the passenger compartment of the vehicle at the (i+1)-th time point corresponding to the second vehicle energy consumption is obtained. Obtain the second absolute value of the difference between the second temperature corresponding to the second vehicle energy consumption and the target passenger compartment temperature; Based on the cooling capacity of the thermal management system corresponding to the second vehicle energy consumption, the opening ratio of the air intake grille, the first information at the (i+1)th time point, and the second temperature, the second battery system power at the (i+1)th time point corresponding to the second vehicle energy consumption is obtained. The second battery system power and the second absolute value are weighted and summed to obtain the third vehicle energy consumption at the (i+1)th time point corresponding to the second vehicle energy consumption.

7. The method according to claim 1, characterized in that, The method further includes: When i is greater than 1, the passenger compartment temperature at the i-th time point is obtained based on the optimal combination of passenger compartment temperature, ambient temperature, vehicle speed, and target at the (i-1)-th time point.

8. The method according to claim 7, characterized in that, The process of obtaining the passenger compartment temperature at the i-th time point based on the optimal combination of passenger compartment temperature, ambient temperature, vehicle speed, and target at the (i-1)-th time point includes: The passenger compartment heat load is obtained based on the ambient temperature, vehicle speed, and passenger compartment temperature at the (i-1)th time point. The crew cabin temperature change rate is obtained based on the crew cabin heat load and the target optimal combination at the (i-1)th time point; The temperature of the ith cabin is obtained based on the rate of change of the cabin temperature and the cabin temperature at the (i-1)th time point.

9. A vehicle parameter acquisition device, characterized in that, include: The first acquisition module is used to acquire the first information of each of the N time points of the vehicle navigation plan, where N is an integer greater than 1, and the first information includes ambient temperature, altitude and vehicle speed. The second acquisition module is used to obtain the optimal combination corresponding to each of the first temperatures at the i-th time point among N-1 time points, where i is sequentially taken from 1 to N-1; based on the first information at the i-th time point, the first information at the (i+1)-th time point, multiple first temperatures in the passenger compartment of the vehicle, multiple air intake grille opening ratios of the vehicle, and multiple thermal management system cooling capacities of the vehicle; wherein the optimal combination includes the optimal air intake grille opening ratio and the optimal thermal management system cooling capacity. The third acquisition module is used to select the optimal combination corresponding to the cabin temperature at the i-th time point from multiple optimal combinations at the i-th time point, and obtain the target optimal combination at the i-th time point.

10. A vehicle, characterized in that, include: A controller for performing the method as described in any one of claims 1-8.

11. An electronic device, characterized in that, include: A memory and a processor, wherein the processor is connected to the memory; The memory is used to store programs; The processor is configured to invoke a program stored in the memory to execute the method as described in any one of claims 1-8.

12. A computer-readable storage medium, characterized in that, It stores a computer program, which, when executed by a processor, performs the method as described in any one of claims 1-8.

13. A computer program product, characterized in that, The computer program product includes a computer program that, when executed by a processor, performs the method as described in any one of claims 1-8.

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