CN118329064A - Navigation route planning method, computer device and storage medium of electric automobile - Google Patents

Abstract

The invention discloses a navigation route planning method, a computer device and a storage medium of an electric automobile, which can realize the basic function of navigation route planning, generate navigation route information capable of guiding the electric automobile to drive from a departure place to a destination, and ensure the performance of the electric automobile, in particular the performance of cruising ability, by adding environmental temperature information and control strategy factors of the temperature regulating equipment in the generation process of the navigation route information, the generated navigation route is optimized for the electric automobile in terms of energy consumption of the vehicle-mounted equipment, influence of the environment on the performance of the power battery and the like, which are generated by the driving process of the electric automobile, thereby being beneficial to reducing unnecessary electric energy loss of the power battery of the electric automobile and fully utilizing the discharge performance of the power battery. The invention is widely applied to the technical field of automobiles.

Description

Navigation route planning method, computer device and storage medium for electric vehicle

Technical Field

The present invention relates to the field of automobile technology, and in particular to a navigation route planning method, a computer device and a storage medium for an electric vehicle.

Background technique

The navigation route planning technology of automobiles can plan a navigation route connecting the departure point and the destination according to constraints such as the shortest journey or the least time, thus providing convenience for automobile driving. For fuel vehicles, the navigation route planning algorithm generally only needs to set constraints such as the journey or time, while for electric vehicles, since their energy replenishment speed is not as fast as that of fuel vehicles, they are more sensitive to the impact on their endurance. The current navigation route planning technology is not optimized for electric vehicles, so the generated navigation route is not optimized in terms of the energy consumption of the on-board equipment generated during the driving process of the electric vehicle and the impact of the environment on the performance of the power battery. As a result, there are problems such as unnecessary power loss of the power battery of the electric vehicle or the discharge performance is not fully utilized, which limits the performance of the electric vehicle, especially the endurance.

Summary of the invention

In view of the technical problems that the current navigation route planning technology is not optimized for electric vehicles, which limits the performance of electric vehicles, especially their endurance, the purpose of the present invention is to provide a navigation route planning method, computer device and storage medium for electric vehicles.

In one aspect, an embodiment of the present invention includes a method for planning a navigation route of an electric vehicle, the method comprising the following steps:

Get ambient temperature information;

Obtain control strategies for temperature regulation devices in electric vehicles;

Navigation route planning is performed according to the ambient temperature information and the control strategy of the temperature adjustment device to obtain navigation route information.

Furthermore, the step of obtaining a control strategy for a temperature regulating device of an electric vehicle includes:

Detect the current endurance information of the electric vehicle;

Obtaining initial navigation information of the electric vehicle;

According to the current endurance information and the initial navigation information, gear control information of the temperature adjustment device is determined as the control strategy.

Furthermore, the obtaining of ambient temperature information includes:

Acquire ambient temperature field information of the environment through which the initial navigation information passes;

Ambient temperature gradient information is determined according to the ambient temperature field information as the ambient temperature information.

Furthermore, performing navigation route planning according to the ambient temperature information and the control strategy of the temperature adjustment device to obtain navigation route information includes:

Determining direction adjustment information according to the ambient temperature gradient information and the gear control information;

According to the direction adjustment information, the navigation route corresponding to the initial navigation information is at least partially adjusted to obtain the navigation route information.

Further, determining the direction adjustment information according to the ambient temperature gradient information and the gear control information includes:

Determining the temperature gradient direction at each location according to the ambient temperature gradient information;

determining a direction offset according to the gear control information;

The direction offset is superimposed on the temperature gradient direction to obtain a corresponding adjustment direction, thereby obtaining the direction adjustment information.

Further, the at least partially adjusting the navigation route corresponding to the initial navigation information according to the direction adjustment information to obtain the navigation route information includes:

Segmenting the navigation route corresponding to the initial navigation information to obtain a plurality of first route segments;

For at least part of the first route segment, when the angle difference between the direction of the first route segment and the adjusted direction at the location reaches an angle threshold, re-planning the navigation route for the location of the corresponding first route segment according to the adjusted direction to obtain a second route segment;

The navigation route information is obtained by replacing the first route segment corresponding to the navigation route corresponding to the initial navigation information with the second route segment.

Furthermore, performing navigation route planning according to the ambient temperature information and the control strategy of the temperature adjustment device to obtain navigation route information includes:

Obtaining initial navigation information of the electric vehicle;

estimating the remaining cruising range information of the electric vehicle according to the initial navigation information and the control strategy;

When the remaining battery life information is less than the battery life threshold, searching for a charging point near the navigation route corresponding to the initial navigation information;

According to the location of the charging point, the navigation route is re-planned based on the initial navigation information to obtain the navigation route information.

Furthermore, the obtaining of initial navigation information of the electric vehicle includes:

Get departure and destination information;

Executing a path planning algorithm to process the departure location information and the destination information;

Acquire the initial navigation information output by the path planning algorithm.

On the other hand, an embodiment of the present invention also includes a computer device, including a memory and a processor, the memory is used to store at least one program, and the processor is used to load at least one program to execute the navigation route planning method for the electric vehicle in the embodiment.

On the other hand, an embodiment of the present invention further includes a computer-readable storage medium, in which a program executable by a processor is stored. When the program executable by the processor is executed by the processor, it is used to execute the navigation route planning method for the electric vehicle in the embodiment.

The beneficial effects of the present invention are as follows: through the navigation route planning method of the electric vehicle in the embodiment, the basic function of navigation route planning can be realized, and navigation route information that can guide the electric vehicle from the departure point to the destination can be generated. Since the temperature regulating device is a vehicle-mounted device that consumes a large amount of energy for the power battery, and the ambient temperature has a great influence on the discharge performance of the power battery, the electric vehicle is optimized by adding the ambient temperature information and the control strategy factors of the temperature regulating device in the generation process of the navigation route information. The navigation route finally generated is optimized for the energy consumption of the vehicle-mounted device generated during the driving process of the electric vehicle and the influence of the environment on the performance of the power battery, which is beneficial to reduce unnecessary power loss of the power battery of the electric vehicle and make full use of the discharge performance of the power battery, so as to ensure the performance of the electric vehicle, especially the endurance.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG1 is a schematic diagram of an automobile system to which a navigation route planning method for an electric vehicle can be applied in an embodiment;

FIG2 is a schematic diagram of steps of a navigation route planning method for an electric vehicle in an embodiment;

FIG3 is a schematic diagram of initial navigation information and ambient temperature field information in an embodiment;

FIG4 is a schematic diagram of ambient temperature gradient information in an embodiment;

FIG5 is a schematic diagram of the principle of step S302 in the embodiment;

FIG6 is a schematic diagram of a first route segment in an embodiment;

FIG7 is a schematic diagram of a second route segment in an embodiment;

FIG. 8 is a flow chart of steps P301 - P304 in the embodiment.

Detailed ways

The electric vehicle in this embodiment can be a pure electric vehicle or a hybrid electric vehicle, and the power source of the electric vehicle can be a power battery such as a lithium iron phosphate battery or a ternary lithium battery, or a fuel cell. In this embodiment, a pure electric vehicle is used as an example for description.

In this embodiment, the navigation route planning method of an electric vehicle can be applied to the vehicle system shown in FIG1. Referring to FIG1, the vehicle system includes a control module, a navigation module, a communication module, a battery management system, and a temperature control device. Among them, the control module has functions such as control, data acquisition, data storage, data processing and output; the navigation module can locate the vehicle based on the satellite navigation system to obtain the real-time position, and run the path planning algorithm to plan the path according to the information such as the departure location, the destination location and the real-time location, so as to plan the navigation route; the communication module can establish communication with the cloud server through wireless communication protocols such as 5G, so as to obtain data resources from sources such as the Internet platform; the battery management system can manage the power battery on the electric vehicle for charging control, discharge control, charge state detection, health detection, overcurrent protection and overheating protection; the temperature control device includes a device for temperature control of the passenger environment such as the cabin of the electric vehicle, and a device for temperature control of the vehicle-mounted components of the electric vehicle, such as an air conditioner and a power battery heater, etc. The temperature control performed includes heating and cooling so that the temperature control target reaches the expected temperature.

In this embodiment, each step in the method for planning a navigation route of an electric vehicle can be executed by the control module in Figure 1. When executing some of the steps, the control module can call the vehicle-mounted functional components to execute related functions.

2, the navigation route planning method for an electric vehicle includes the following steps:

S1. Obtain ambient temperature information;

S2. Obtaining a control strategy for a temperature regulating device of an electric vehicle;

S3. Perform navigation route planning according to the ambient temperature information and the control strategy of the temperature regulating device to obtain navigation route information.

In step S1, the ambient temperature information is the temperature of the environment in which the electric vehicle is currently located or is about to arrive. Specifically, the control module can call the communication module to access the server and download the ambient temperature information from the network platform of the meteorological agency or environmental monitoring agency. The meteorological agency or environmental monitoring agency can detect the temperature of various locations in a large range through satellites or temperature monitoring equipment installed in various places; the control module can request to obtain the temperature of various locations within a certain range of the real-time position of the electric vehicle (for example, within 50km of the electric vehicle), thereby obtaining the ambient temperature information.

In step S2, the control strategy of the temperature control device of the electric vehicle indicates information such as the target temperature, heating/cooling capacity, and duration of the heating/cooling function of the temperature control device for heating/cooling the temperature control target at present or in the future.

In step S3, the control module can call the navigation module to run the path planning algorithm to plan the navigation route, wherein the path planning algorithm can be the Dijkstra algorithm, the A* algorithm, the D* algorithm, the LPA* algorithm, the D*Lite algorithm, and other algorithms, as well as the path planning algorithm obtained by further optimizing these algorithms. For example, the navigation module can be installed with authorized commercial navigation software, and the control module calls the path planning algorithm integrated in the commercial navigation software. In step S3, the control module performs navigation route planning based on the path planning algorithm according to the information such as the departure location, the destination location and the real-time location, and also performs navigation route planning based on the ambient temperature information obtained in step S1 and the control strategy of the temperature adjustment device obtained in step S2, thereby obtaining navigation route information.

By executing steps S1-S3, the basic function of navigation route planning can be realized, and navigation route information that can guide the electric vehicle from the departure point to the destination can be generated. Since the temperature regulating device is an on-board device that consumes a lot of energy for the power battery, and the ambient temperature has a great influence on the discharge performance of the power battery, the electric vehicle is optimized by adding the ambient temperature information and the control strategy factors of the temperature regulating device in the generation process of the navigation route information. The navigation route finally generated is optimized for the energy consumption of the on-board equipment generated during the driving process of the electric vehicle and the influence of the environment on the performance of the power battery, which is beneficial to reduce unnecessary power loss of the power battery of the electric vehicle and make full use of the discharge performance of the power battery, so as to ensure the performance of the electric vehicle, especially the endurance.

In this embodiment, when the control module executes step S1, that is, the step of obtaining ambient temperature information, the control module may specifically execute the following steps:

S101. Obtaining the ambient temperature field information of the environment through which the initial navigation information passes;

S102. Determine ambient temperature gradient information according to ambient temperature field information as ambient temperature information.

In step S101, the control module may call a human-computer interaction device (such as a touch screen) to obtain the departure information and destination information input by the driver, and send the departure information and destination information to the navigation module, which runs a path planning algorithm to process the departure information and destination information, thereby outputting initial navigation information. The path planning algorithm may be an open source Dijkstra algorithm and its improved algorithm, or a path planning algorithm run by commercial navigation software.

The process of running the path planning algorithm to obtain the initial navigation information in step S101 may not consider factors such as ambient temperature information and the control strategy of the temperature regulating device, but only generate the initial navigation information based on constraints such as the shortest journey, the least time, the least traffic lights, or not taking the highway. The obtained initial navigation information represents the navigation route from the departure point to the destination, and may also represent information such as the estimated time when the electric vehicle is expected to arrive at each location on the navigation route.

After obtaining the initial navigation information, in step S101, the control module can determine a certain range with the navigation route corresponding to the initial navigation information as the center (for example, from each point on the navigation route corresponding to the initial navigation information, extending outward 20km), and request the network platform to provide the temperature measured at multiple locations within this range through the communication module. These temperatures are distributed at multiple locations within a certain range around the navigation route corresponding to the initial navigation information, and different locations at the same time may have different temperatures due to different factors such as the sunshine conditions, air moisture content and wind speed in the environment, forming a temperature field, thereby forming the ambient temperature field information. Since the temperature is affected by conditions such as sunshine, and the sunshine conditions at different times are different, the temperature field represented by the ambient temperature field information is actually a time-varying field, but it can be considered that the influence of sunshine changes on each location is the same, so the influence of time on the temperature field is not considered, and the temperature field represented by the ambient temperature field information is only regarded as related to the position coordinates.

In this embodiment, the initial navigation information and the ambient temperature field information are shown in FIG3. Referring to FIG3, the temperature of the corresponding position is represented by color, for example, green, yellow, orange, and red represent the temperature from low to high in sequence. FIG3 shows the graphical initial navigation information and the ambient temperature field information, and when executing the navigation route planning method for an electric vehicle, it is not necessary to graphically represent the initial navigation information and the ambient temperature field information.

In step S102, the ambient temperature field information obtained in step S101 is subjected to a gradient calculation, thereby obtaining the ambient temperature gradient information shown in FIG4 as the ambient temperature information to be obtained by executing step S1. Referring to FIG4, the ambient temperature field information represents the temperature gradient of each point within the range corresponding to the ambient temperature field information, wherein the direction of the temperature gradient is perpendicular to the isotherm at the corresponding position, and the magnitude of the temperature gradient represents the rate at which the temperature at the corresponding position changes with the position.

In this embodiment, when the control module executes step S2, that is, the step of obtaining the control strategy of the temperature adjustment device of the electric vehicle, the control module may specifically execute the following steps:

S201. Detect the current endurance information of the electric vehicle;

S202. Obtaining initial navigation information of the electric vehicle;

S203. Determine the gear control information of the temperature adjustment device as a control strategy according to the current endurance information and the initial navigation information.

In step S201, the control module can call the battery management system BMS to detect the _current state of charge SOCcurrent of the power battery. Since the _current state of charge SOCcurrent is an important factor affecting the endurance of the electric vehicle, the current state of charge _SOCcurrent can be used as the current endurance information to be obtained in step S201.

In step S202, the initial navigation information of the electric vehicle can be obtained with reference to step S101. The initial navigation information represents the navigation route directly output by the navigation module, and the estimated time when the electric vehicle arrives at each point on the navigation route.

In step S203, the gear control information of the temperature adjustment device is determined as a control strategy according to the current endurance information obtained in step S201 and the initial navigation information obtained in step S202.

For example, for a temperature control device such as an air conditioner, the gear control information can be directly determined according to the _current state of charge SOC. Specifically, the gear control information of the air conditioner can be set according to the following logic:

SOC _current ≥ 50%: Set the air conditioner to work in the second gear (strong gear, T _{cooling target temperature} = T _{user set temperature} )

SOC _current < 50%: Set the air conditioner to work in the first gear (weak gear, T _{cooling target temperature} < T _{user set temperature} )

For the temperature regulating device of the power battery heater, the control module can read the thermal power _P1 (the thermal power of the power battery heater when it works in the first gear), _P2 (the thermal power of the power battery heater when it works in the second gear) and _P3 (the thermal power of the power battery heater when it works in the third gear) of the power battery heater when it works in each gear from the internal storage space, determine the time t _{navigation time} and the required mileage S _{navigation mileage} required for the electric vehicle to reach the destination according to the initial navigation information, call the battery management system BMS to query the recent driving records to obtain the energy consumption per kilometer P _{recent energy consumption} generated by the electrical components such as the vehicle system, and the state of charge SOC _{full charge} of the power battery when it is fully charged, and set the gear control information of the power battery heater according to the following logic:

Set the power battery heater to work in the third gear (strong gear)

Set the power battery heater to work in the second gear (mid-gear)

Set the power battery heater to work in the first gear (weak gear)

or or Setting the power battery heater to not work

The above gear control information can control the temperature adjustment equipment such as air conditioner or power battery heater to work in the corresponding gear, wherein the same temperature adjustment equipment consumes the most power when working in the strong gear within the same time, consumes medium power when working in the medium gear, and consumes the least power when working in the weak gear. The obtained gear control information can be used as the control strategy to be obtained in step S2.

In this embodiment, when the control module executes step S3, that is, the step of planning the navigation route according to the ambient temperature information and the control strategy of the temperature adjustment device to obtain the navigation route information, the control module may specifically execute the following steps:

S301. Determine direction adjustment information according to ambient temperature gradient information and gear control information;

S302. According to the direction adjustment information, at least partially adjust the navigation route corresponding to the initial navigation information to obtain navigation route information.

In step S301, referring to FIG. 4, the ambient temperature gradient information indicates the direction of the temperature gradient at each position within a certain range, and the direction of the temperature gradient is the direction from low temperature to high temperature.

Take a part of FIG. 4 as an example for explanation, as shown in FIG. 5. Referring to FIG. 5, for a point on the navigation route corresponding to the initial navigation information, the temperature gradient direction at the point is obtained. Then, according to the gear control information, the direction offset is determined, and the direction offset is used to superimpose with the temperature gradient direction, so that the temperature gradient direction after the superimposed direction offset changes in direction (if the direction offset is zero, the temperature gradient direction after the superimposed direction offset does not change). Specifically, if the temperature control device is a refrigeration function device (such as an air conditioner), then the higher the gear control information of the temperature control device (the closer to the strong gear), the closer the generated direction offset is to the direction perpendicular to the temperature gradient direction, so that the temperature gradient direction superimposed with the direction offset is closer to the direction perpendicular to the original direction, conversely, the lower the gear control information of the temperature control device (the closer to the weak gear), the closer the generated direction offset is to zero or the direction of the temperature gradient direction itself, so that the temperature gradient direction superimposed with the direction offset is closer to the original direction; if the temperature control device is a heating function device (such as a power battery heater), then the higher the gear control information of the temperature control device (the closer to the strong gear), the generated direction offset is The closer the amount is to zero or the direction of the temperature gradient direction itself, the closer the temperature gradient direction with the direction offset superimposed is to the original direction; conversely, the lower the gear control information of the temperature regulating device (the closer to the weak gear), the closer the generated direction offset is to the direction perpendicular to the temperature gradient direction, so that the temperature gradient direction with the direction offset superimposed is closer to the direction perpendicular to the original direction; if the refrigeration function device and the heating function device work at the same time, the refrigeration effect of the refrigeration function device and the heating effect of the heating function device can be simulated to offset each other, which is equivalent to a refrigeration function device or a heating function device, and its equivalent gear control information is simulated, and then the direction offset is generated based on the logic of the refrigeration function device or the heating function device.

In step S301, after the direction offset is generated according to the gear control information, the temperature gradient direction is added to the direction offset, and the obtained vector is the adjustment direction, thereby obtaining the direction adjustment information.

When executing step S302, referring to FIG6, the navigation route corresponding to the initial navigation information can be divided into a plurality of first route segments of equal length. Taking one of the first route segments as an example, referring to FIG6, the direction from the starting point of the first route segment to the end point is taken as the direction of the first route segment. If the angle difference between the direction of the first route segment and the adjustment direction at the location (e.g., the starting point) reaches an angle threshold, indicating that the direction of the first route segment deviates greatly from the adjustment direction at the location (e.g., the starting point), then referring to FIG7, the navigation route is re-planned for the location of the corresponding first route segment according to the adjustment direction to obtain a second route segment.

Specifically, the control module can input the coordinates of the starting point and the end point of this first route segment into the path planning algorithm of the navigation module, and set "the starting point tangent direction is the same as the adjustment direction" as a constraint condition, so that the path planning algorithm searches for a passable path that meets the constraint conditions. If a corresponding passable path is found, it is output as the second route segment.

When the path planning algorithm outputs the second route segment, the second route segment can directly replace the corresponding first route segment in the navigation route corresponding to the initial navigation information. That is, the second route segment together with other parts of the navigation route corresponding to the initial navigation information constitute a new navigation route, and this new navigation route is used as the navigation route information to be obtained by executing step S3.

When the path planning algorithm outputs the second route segment, the distance of the second route segment can also be compared with the corresponding first route segment. If the distance of the second route segment is not greater than the distance of the corresponding first route segment, or the distance of the second route segment exceeds the distance of the first route segment by no more than a distance threshold (for example, 1 km), the second route segment is used to replace the corresponding first route segment. Otherwise, the second route segment is discarded and the corresponding first route segment is retained to avoid generating an overly long new navigation route that causes excessive power loss in the electric vehicle.

In this embodiment, the principle of executing steps S301-S302 is that the temperature gradient direction determined by the ambient temperature gradient information indicates the direction in which the temperature changes most dramatically within a certain range, and correspondingly, the vertical direction of the temperature gradient direction is the direction in which the temperature does not change. Therefore, when the cooling demand indicated by the gear control information is stronger, the adjustment direction determined by the generated direction adjustment information deviates more from the temperature gradient direction (correspondingly, it is closer to the vertical direction of the temperature gradient direction), so that when the electric vehicle travels along the second route segment in the finally generated navigation route information, it is in an environment where the outside temperature changes more slowly, which is conducive to reducing the electric energy consumed by cooling; when the heating demand indicated by the gear control information is stronger, the adjustment direction determined by the generated direction adjustment information is closer to the temperature gradient direction (correspondingly, it deviates more from the vertical direction of the temperature gradient direction), so that when the electric vehicle travels along the second route segment in the finally generated navigation route information, it is in an environment where the outside temperature changes more dramatically, and the heat provided by the outside temperature can be fully utilized to heat the power battery, etc., which is conducive to reducing the electric energy consumed by heating, so that the power battery can reach a higher temperature faster and obtain good working performance.

In this embodiment, when the control module executes step S3, that is, the step of planning the navigation route according to the ambient temperature information and the control strategy of the temperature adjustment device to obtain the navigation route information, in addition to selecting to execute steps S301-S302, it can also select to execute the following steps:

P301. Get the initial navigation information of the electric vehicle;

P302. Estimate the remaining endurance of the electric vehicle based on the initial navigation information and control strategy;

P303. When the remaining battery life information is less than the battery life threshold, find a charging point near the navigation route corresponding to the initial navigation information;

P304. According to the location of the charging point, re-plan the navigation route based on the initial navigation information to obtain the navigation route information.

The process of steps P301-P304 is shown in FIG8 .

Referring to FIG8 , in step P301, referring to the principle of step S203, the time t _{navigation time} required for the electric vehicle to reach the destination can be determined according to the initial navigation information. In step P302, taking the temperature adjustment device of the power battery heater as an example, the control module can read the thermal power P ₁ (thermal power of the power battery heater when it works in the first gear), P ₂ (thermal power of the power battery heater when it works in the second gear) and P ₃ (thermal power of the power battery heater when it works in the third gear) and other control strategies from the internal storage space. In this way, the power consumption can be determined according to the product of P ₁ , P ₂ or P ₃ and t _{navigation time} , and the current state of charge SOC _current minus the power consumption is used to obtain the remaining endurance information of the electric vehicle. The remaining endurance information indicates that when the temperature adjustment device is controlled to work according to the control strategy, the electric energy stored in the power battery is used by the temperature adjustment device and can be supplied to the electric vehicle for driving. The remaining endurance information in the form of power can be converted into the remaining endurance information in the form of distance by looking up a table or the like, that is, the distance that the electric vehicle can travel without charging.

In step P303, referring to FIG8, a battery life threshold value (e.g., 10 km) may be set. If the remaining battery life information is less than the battery life threshold value, it indicates that the remaining battery life information is too small. The control module calls the navigation module to find the charging point near the navigation route corresponding to the initial navigation information, and executes step P304. According to the location of the charging point, the navigation route is replanned based on the initial navigation information to obtain the navigation route information. The navigation route information obtained in step P304 is executed, starting from the departure point and reaching the destination after passing through at least one charging point.

By executing steps P301-P304, it is possible to guide the electric vehicle to pass through at least one charging point while ensuring that high-power-consuming equipment such as temperature control equipment is used with a specific control strategy, so that the electric vehicle can obtain charging guarantees at the charging point, thereby reducing the risk of the electric vehicle being unable to travel normally to its destination due to insufficient power stored in the power battery.

A computer program for executing the navigation route planning method for the electric vehicle in this embodiment can be written and written into a computer device or a storage medium. When the computer program is read out and run, the navigation route planning method for the electric vehicle in this embodiment is executed, thereby achieving the same technical effect as the navigation route planning method for the electric vehicle in the embodiment.

It should be noted that, unless otherwise specified, when a feature is referred to as being "fixed" or "connected" to another feature, it may be directly fixed or connected to the other feature, or it may be indirectly fixed or connected to the other feature. In addition, the descriptions of up, down, left, right, etc. used in the present disclosure are only relative to the relative positional relationship of the components of the present disclosure in the accompanying drawings. The singular forms of "a", "" and "the" used in the present disclosure are also intended to include the plural forms, unless the context clearly indicates other meanings. In addition, unless otherwise defined, all technical and scientific terms used in this embodiment have the same meaning as those generally understood by those skilled in the art. The terms used in the specification of this embodiment are only for describing specific embodiments and are not intended to limit the present invention. The term "and/or" used in this embodiment includes any combination of one or more related listed items.

It should be understood that, although the term first, second, third etc. may be adopted to describe various elements in the present disclosure, these elements should not be limited to these terms. These terms are only used to distinguish the same type of elements from each other. For example, without departing from the scope of the present disclosure, the first element may also be referred to as the second element, and similarly, the second element may also be referred to as the first element. The use of any and all examples or exemplary language ("for example", "such as" etc.) provided by the present embodiment is only intended to better illustrate embodiments of the present invention, and unless otherwise required, the scope of the present invention will not be limited.

It should be appreciated that embodiments of the present invention may be implemented or implemented by computer hardware, a combination of hardware and software, or by computer instructions stored in a non-transitory computer-readable memory. The method may be implemented in a computer program using standard programming techniques - including a non-transitory computer-readable storage medium configured with a computer program, wherein the storage medium so configured causes the computer to operate in a specific and predefined manner - according to the methods and drawings described in the specific embodiments. Each program may be implemented in a high-level procedural or object-oriented programming language to communicate with a computer system. However, if desired, the program may be implemented in assembly or machine language. In any case, the language may be a compiled or interpreted language. In addition, the program may be run on a programmed dedicated integrated circuit for this purpose.

In addition, the operations of the process described in this embodiment may be performed in any suitable order, unless otherwise indicated in this embodiment or otherwise clearly contradicted by the context. The process described in this embodiment (or variations and/or combinations thereof) may be performed under the control of one or more computer systems configured with executable instructions, and may be implemented as a code (e.g., executable instructions, one or more computer programs, or one or more applications) executed jointly on one or more processors, by hardware or a combination thereof. A computer program includes a plurality of instructions that may be executed by one or more processors.

Further, the method can be implemented in any type of computing platform that is operably connected to a suitable computer, including but not limited to a personal computer, a minicomputer, a mainframe, a workstation, a network or distributed computing environment, a separate or integrated computer platform, or in communication with a charged particle tool or other imaging device, etc. Various aspects of the present invention can be implemented in machine-readable code stored on a non-transitory storage medium or device, whether removable or integrated into a computing platform, such as a hard disk, an optical read and/or write storage medium, a RAM, a ROM, etc., so that it can be read by a programmable computer, and when the storage medium or device is read by the computer, it can be used to configure and operate the computer to perform the process described herein. In addition, the machine-readable code, or part thereof, can be transmitted via a wired or wireless network. When such media includes instructions or programs that implement the above steps in conjunction with a microprocessor or other data processor, the invention of this embodiment includes these and other different types of non-transitory computer-readable storage media. When programmed according to the methods and techniques of the present invention, the present invention also includes the computer itself.

The computer program can be applied to input data to perform the functions of the present embodiment, thereby converting the input data to generate output data stored in a non-volatile memory. The output information can also be applied to one or more output devices such as a display. In a preferred embodiment of the present invention, the converted data represents a physical and tangible object, including a specific visual depiction of the physical and tangible object produced on the display.

The above are only preferred embodiments of the present invention. The present invention is not limited to the above embodiments. As long as the technical effects of the present invention are achieved by the same means, any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention shall be included in the scope of protection of the present invention. Within the scope of protection of the present invention, its technical solutions and/or implementation methods may have various modifications and changes.

Claims (10)

1. The navigation route planning method of the electric automobile is characterized by comprising the following steps of: acquiring environmental temperature information;

Acquiring a control strategy of temperature regulating equipment of the electric automobile;

And carrying out navigation route planning according to the environmental temperature information and the control strategy of the temperature regulating equipment to obtain navigation route information.

2. The method for planning a navigation route of an electric vehicle according to claim 1, wherein the acquiring a control strategy of a temperature adjusting device of the electric vehicle comprises:

detecting current endurance information of the electric automobile;

acquiring initial navigation information of an electric automobile;

And determining gear control information of the temperature regulating equipment according to the current endurance information and the initial navigation information, and taking the gear control information as the control strategy.

3. The method for planning a navigation route of an electric vehicle according to claim 2, wherein the acquiring the ambient temperature information includes:

acquiring environment temperature field information of an environment through which the initial navigation information passes;

And determining environmental temperature gradient information according to the environmental temperature field information, and taking the environmental temperature gradient information as the environmental temperature information.

4. The method for planning a navigation route of an electric vehicle according to claim 3, wherein the step of planning a navigation route according to the environmental temperature information and a control policy of the temperature adjustment device, and obtaining navigation route information, comprises:

Determining direction adjustment information according to the environmental temperature gradient information and the gear control information;

And according to the direction adjustment information, at least partially adjusting the navigation route corresponding to the initial navigation information to obtain the navigation route information.

5. The method for planning a navigation route of an electric vehicle according to claim 4, wherein determining direction adjustment information according to the environmental temperature gradient information and the gear control information comprises:

Determining the temperature gradient direction of each position according to the environmental temperature gradient information;

determining a direction offset according to the gear control information;

and superposing the direction offset on the temperature gradient direction to obtain a corresponding adjustment direction, thereby obtaining the direction adjustment information.

6. The method for planning a navigation route of an electric vehicle according to claim 4, wherein the performing at least partial adjustment on the navigation route corresponding to the initial navigation information according to the direction adjustment information to obtain the navigation route information includes:

segmenting a navigation route corresponding to the initial navigation information to obtain a plurality of first route segments;

for at least part of the first route segment, when the angle difference between the direction of the first route segment and the adjustment direction at the position reaches an angle threshold value, carrying out navigation route planning again on the position of the corresponding first route segment according to the adjustment direction to obtain a second route segment;

And replacing the corresponding first route segment in the navigation route corresponding to the initial navigation information with the second route segment to obtain the navigation route information.

7. The method for planning a navigation route of an electric vehicle according to claim 1, wherein the performing the navigation route planning according to the environmental temperature information and the control policy of the temperature adjustment device to obtain navigation route information includes:

acquiring initial navigation information of an electric automobile;

Estimating the remaining endurance information of the electric automobile according to the initial navigation information and the control strategy;

when the remaining endurance information is smaller than the endurance threshold, searching a charging point near a navigation route corresponding to the initial navigation information;

And carrying out navigation route planning again based on the initial navigation information according to the position of the charging point to obtain the navigation route information.

8. The method for planning a navigation route of an electric vehicle according to any one of claims 2 to 7, wherein the obtaining initial navigation information of the electric vehicle includes:

acquiring departure place information and destination information;

Executing a path planning algorithm to process the departure place information and the destination information;

and acquiring the initial navigation information output by the path planning algorithm.

9. A computer device comprising a memory for storing at least one program and a processor for loading the at least one program to perform the method of navigation routing of an electric vehicle according to any one of claims 1-8.

10. A computer-readable storage medium in which a processor-executable program is stored, characterized in that the processor-executable program, when executed by a processor, is for performing the navigation route planning method of an electric vehicle according to any one of claims 1-8.