CN118329064A - Navigation route planning method, computer device and storage medium of electric automobile - Google Patents
Navigation route planning method, computer device and storage medium of electric automobile Download PDFInfo
- Publication number
- CN118329064A CN118329064A CN202410577310.3A CN202410577310A CN118329064A CN 118329064 A CN118329064 A CN 118329064A CN 202410577310 A CN202410577310 A CN 202410577310A CN 118329064 A CN118329064 A CN 118329064A
- Authority
- CN
- China
- Prior art keywords
- information
- navigation
- navigation route
- route
- electric automobile
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 56
- 230000007613 environmental effect Effects 0.000 claims abstract description 46
- 238000011217 control strategy Methods 0.000 claims abstract description 24
- 230000001105 regulatory effect Effects 0.000 claims abstract description 16
- 230000008569 process Effects 0.000 claims abstract description 14
- 238000005265 energy consumption Methods 0.000 abstract description 8
- 230000009286 beneficial effect Effects 0.000 abstract description 4
- 230000006870 function Effects 0.000 description 18
- 238000010438 heat treatment Methods 0.000 description 13
- 238000005057 refrigeration Methods 0.000 description 9
- 238000004590 computer program Methods 0.000 description 8
- 238000004891 communication Methods 0.000 description 7
- 238000010586 diagram Methods 0.000 description 7
- 230000000694 effects Effects 0.000 description 5
- 238000007726 management method Methods 0.000 description 5
- 238000001816 cooling Methods 0.000 description 4
- 230000007246 mechanism Effects 0.000 description 4
- 230000008859 change Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 239000000446 fuel Substances 0.000 description 3
- 238000012544 monitoring process Methods 0.000 description 3
- 238000001514 detection method Methods 0.000 description 2
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 238000007599 discharging Methods 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 229910052744 lithium Inorganic materials 0.000 description 1
- GELKBWJHTRAYNV-UHFFFAOYSA-K lithium iron phosphate Chemical compound [Li+].[Fe+2].[O-]P([O-])([O-])=O GELKBWJHTRAYNV-UHFFFAOYSA-K 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 239000002245 particle Substances 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000001502 supplementing effect Effects 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Landscapes
- Navigation (AREA)
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
Technical Field
The invention relates to the technical field of automobiles, in particular to a navigation route planning method, a computer device and a storage medium of an electric automobile.
Background
The navigation route planning technology of the automobile can plan the navigation route connecting the departure place and the destination according to constraint conditions such as the shortest journey or the least time consumption, thereby providing convenience for automobile driving. For a fuel automobile, a navigation route planning algorithm generally only needs to set constraint conditions such as travel or time consumption, and for an electric automobile, the speed of supplementing energy is lower than that of the fuel automobile, so that the influence on cruising ability is more sensitive, the current navigation route planning technology is not optimized for the electric automobile, and therefore the generated navigation route is not optimized in aspects such as vehicle-mounted equipment energy consumption generated in the running process of the electric automobile and influence of environment on the performance of a power battery, so that the unnecessary electric energy loss of the power battery of the electric automobile occurs or the discharging performance of the power battery of the electric automobile is not fully utilized, and the performance of the electric automobile, particularly the exertion of cruising ability, is limited.
Disclosure of Invention
Aiming at the technical problems that the current navigation route planning technology is not optimized for the electric automobile, the performance of the electric automobile, particularly the exertion of cruising ability and the like are limited, the invention aims to provide a navigation route planning method, a computer device and a storage medium of the electric automobile.
In one aspect, an embodiment of the present invention includes a navigation route planning method for an electric vehicle, where the navigation route planning method for an electric vehicle includes the following steps:
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.
Further, the acquiring the control strategy of the temperature adjusting device of the electric automobile includes:
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.
Further, the acquiring the environmental 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.
Further, the performing navigation route planning according to the environmental temperature information and the control policy of the temperature adjustment device to obtain navigation route information includes:
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.
Further, the determining direction adjustment information according to the environmental temperature gradient information and the gear control information includes:
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.
Further, the adjusting the navigation route corresponding to the initial navigation information at least partially 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.
Further, the performing 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.
Further, the obtaining the initial navigation information of the electric automobile 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.
In another aspect, an embodiment of the present invention further includes a computer apparatus including a memory for storing at least one program and a processor for loading the at least one program to perform the navigation route planning method of the electric vehicle in the embodiment.
In another aspect, the embodiment of the present invention further includes a computer-readable storage medium in which a program executable by a processor is stored, which when executed by the processor is used to perform the navigation route planning method of the electric vehicle in the embodiment.
The beneficial effects of the invention are as follows: according to the navigation route planning method of the electric automobile, the basic function of navigation route planning can be achieved, navigation route information capable of guiding the electric automobile to drive to a destination from a departure place is generated, as the temperature regulating equipment is vehicle-mounted equipment with high energy consumption for a power battery and the influence of the ambient temperature on the discharge performance of the power battery is high, the electric automobile is optimized through adding the ambient temperature information and control strategy factors of the temperature regulating equipment in the generation process of the navigation route information, the finally generated navigation route is optimized in the aspects of energy consumption of the vehicle-mounted equipment, influence of the environment on the performance of the power battery and the like generated in the driving process of the electric automobile, unnecessary electric energy loss of the power battery of the electric automobile is reduced, the discharge performance of the power battery is fully utilized, and the performance of the electric automobile, particularly the running capability, is guaranteed.
Drawings
Fig. 1 is a schematic diagram of an automobile system to which a navigation route planning method of an electric automobile can be applied in an embodiment;
fig. 2 is a schematic diagram illustrating steps of a navigation route planning method of an electric vehicle according to an embodiment;
FIG. 3 is a schematic diagram of initial navigation information and ambient temperature field information in an embodiment;
FIG. 4 is a schematic diagram of environmental temperature gradient information in an embodiment;
FIG. 5 is a schematic diagram of step S302 in the embodiment;
FIG. 6 is a schematic diagram of a first line segment according to an embodiment;
FIG. 7 is a schematic diagram of a second route segment according to an embodiment;
FIG. 8 is a flowchart of steps P301-P304 in an embodiment.
Detailed Description
The electric vehicle in this embodiment may be a pure electric vehicle or a hybrid electric vehicle, and the power supply of the electric vehicle may be a power battery such as a lithium iron phosphate battery or a ternary lithium battery, or may be a fuel cell. In this embodiment, a pure electric vehicle is taken as an example for explanation.
In this embodiment, the method for planning the navigation route of the electric vehicle may be applied to the vehicle-to-machine system shown in fig. 1. Referring to fig. 1, the vehicle system includes a control module, a navigation module, a communication module, a battery management system, a temperature regulation apparatus, and the like. The control module has the functions of control, data acquisition, data storage, data processing, output and the like; the navigation module can be used for positioning the automobile based on the satellite navigation system to obtain a real-time position, running a path planning algorithm, and carrying out path planning according to the information such as the departure place position, the destination position, the real-time position and the like so as to carry out navigation route planning; the communication module can establish communication with the cloud server through a wireless communication protocol such as 5G and the like, so that data resources are obtained from sources such as an Internet platform and the like; the battery management system can carry out management such as charge control, discharge control, charge state detection, health degree detection, overcurrent protection, overheat protection and the like on a power battery on the electric automobile; the temperature adjusting apparatus includes an apparatus that adjusts the temperature of an environment in which an occupant such as a cabin of an electric vehicle is located, and an apparatus that adjusts the temperature of an on-vehicle component of an electric vehicle such as an air conditioner, a power battery heater, and the like, the temperature adjustment including heating and cooling so that a temperature adjustment target reaches a desired temperature.
In this embodiment, each step in the navigation route planning method of the electric vehicle may be performed by the control module in fig. 1. The control module, when performing some of the steps, may invoke the on-board features to perform the associated functions.
Referring to fig. 2, the navigation route planning method of the electric vehicle includes the steps of:
S1, acquiring environmental temperature information;
S2, acquiring a control strategy of temperature regulating equipment of the electric automobile;
S3, carrying out navigation route planning according to the environmental temperature information and the control strategy of the temperature regulating equipment, and obtaining navigation route information.
In step S1, the ambient temperature information is the air temperature of the current or upcoming environment of the electric vehicle. Specifically, the control module can call the communication module to access the server, and the environmental temperature information can be downloaded from a network platform of a meteorological mechanism or an environmental monitoring mechanism. The meteorological mechanism or the environment monitoring mechanism can detect the air temperature of each position in a large range through satellites or air temperature monitoring equipment arranged in each place; the control module can request to obtain the air temperature of each position within a certain range (for example, within 50km from the electric automobile) of the real-time position of the electric automobile, so as to obtain the environmental temperature information.
In step S2, the control strategy of the temperature adjustment device of the electric automobile indicates information such as the target temperature, the heating/cooling capacity, and the duration of the heating/cooling function of the temperature adjustment device for heating/cooling the temperature adjustment target in the current or future period of time.
In step S3, the control module may call the navigation module to run a path planning algorithm to perform navigation route planning, where the path planning algorithm may be Dijkstra algorithm, a×algorithm, d×algorithm, lpa×algorithm, d×lite algorithm, and other algorithms, and a path planning algorithm obtained by further optimizing these algorithms, for example, the navigation module may install commercial navigation software authorized for use, and the control module calls the path planning algorithm integrated by the commercial navigation software. In step S3, the control module performs navigation route planning according to the environmental temperature information obtained in step S1 and the control policy of the temperature adjustment device obtained in step S2 on the basis that the route planning algorithm performs route planning according to the information such as the departure location, the destination location, the real-time location, and the like, so as to obtain navigation route information.
The basic functions of navigation route planning can be realized by executing the steps S1-S3, navigation route information capable of guiding the electric automobile to drive from a departure place to a destination is generated, and because the temperature regulating equipment is vehicle-mounted equipment with larger energy consumption on the power battery and the influence of the environmental temperature on the discharge performance of the power battery is larger, the performance of the electric automobile, particularly the performance of the cruising ability, is guaranteed by adding the environmental temperature information and control strategy factors of the temperature regulating equipment in the generation process of the navigation route information, so that the electric automobile is optimized, and finally the generated navigation route is optimized in terms of the energy consumption of the vehicle-mounted equipment, the influence of the environment on the performance of the power battery and the like, which are generated in the driving process of the electric automobile, so that the unnecessary electric energy loss of the power battery of the electric automobile is reduced, the discharge performance of the power battery is fully utilized, and the performance of the electric automobile, particularly the cruising ability is guaranteed.
In this embodiment, when the control module performs step S1, that is, the step of acquiring the ambient temperature information, the following steps may be specifically performed:
S101, acquiring environmental temperature field information of an environment through which initial navigation information passes;
S102, determining environmental temperature gradient information according to the environmental temperature field information, and taking the environmental temperature gradient information as the environmental temperature information.
In step S101, the control module may invoke a man-machine interaction device (e.g. a touch screen) to obtain departure location information and destination information input by the driver, send the departure location information and the destination information to the navigation module, and process the departure location information and the destination information by the navigation module running a path planning algorithm, so as to output initial navigation information. The path planning algorithm can be an open-source Dijkstra algorithm and other algorithms and improved algorithms thereof, and can also be a path planning algorithm operated by commercial navigation software.
In the process of obtaining the initial navigation information by the operation path planning algorithm in step S101, the factors such as the environmental temperature information and the control strategy of the temperature adjusting device may not be considered, but the initial navigation information is generated based on the constraint conditions such as the shortest travel, the least time, the least traffic light or the no high speed. The obtained initial navigation information represents a navigation route from the departure point to the destination, and may also represent information such as a predicted time at which the own electric vehicle is predicted to reach each position on the navigation route.
After the initial navigation information is obtained, in step S101, the control module may determine a certain range (for example, extend 20km outwards from each point on the navigation route corresponding to the initial navigation information) with the navigation route corresponding to the initial navigation information as the center, request the network platform to provide air temperatures measured at a plurality of positions within the range through the communication module, where the air temperatures are distributed at a plurality of positions within a certain range around the navigation route corresponding to the initial navigation information, and different positions may have different temperatures at the same time due to different factors such as sunlight conditions of the environment, air water content, wind speed and the like, so as to form a temperature field, thereby forming the environmental temperature field information. Since the air temperature is affected by conditions such as sunlight and the sunlight conditions at different times are different, the temperature field indicated by the ambient temperature field information is actually a time-varying field, but it can be considered that the effect of the sunlight variation on each position is the same, so that the influence of time on the temperature field is not considered, and only the temperature field indicated by the ambient temperature field information is regarded as being related to the position coordinates.
In this embodiment, the initial navigation information and the ambient temperature field information are as shown in fig. 3. Referring to fig. 3, the air temperature at the corresponding position is indicated by the color, for example, green, yellow, orange, and red are sequentially indicated from low to high air temperatures. Fig. 3 shows the initial navigation information and the environmental temperature field information after being patterned, and when the navigation route planning method of the electric automobile is executed, the information such as the initial navigation information and the environmental temperature field information is not required to be patterned.
In step S102, gradient operation is performed on the ambient temperature field information obtained in step S101, thereby obtaining ambient temperature gradient information shown in fig. 4 as ambient temperature information to be obtained by performing step S1. Referring to fig. 4, the ambient temperature field information indicates temperature gradients at points within a range corresponding to the ambient temperature field information, wherein a direction of the temperature gradients is perpendicular to an isotherm at a corresponding position, and a magnitude of the temperature gradients indicates a rate at which the air temperature at the corresponding position changes with the position.
In this embodiment, when executing step S2, that is, the step of obtaining the control policy of the temperature adjustment device of the electric vehicle, the control module may specifically execute the following steps:
s201, detecting current endurance information of the electric automobile;
S202, acquiring initial navigation information of the electric automobile;
s203, 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 a control strategy.
In step S201, the control module may invoke the battery management system BMS to detect the current state of charge SOC Currently, the method is that of the power battery, and since the current state of charge SOC Currently, the method is that is an important factor affecting the cruising ability of the electric vehicle, the current state of charge SOC Currently, the method is that may be used as the current cruising ability information to be obtained in step S201.
In step S202, initial navigation information of the electric vehicle may be acquired 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 automobile reaches each point on the navigation route.
In step S203, 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 an air conditioner, the gear control information may be determined directly from the current state of charge SOC Currently, the method is that . Specifically, the gear control information of the air conditioner may be set according to the following logic:
SOC Currently, the method is that is more than or equal to 50 percent: setting the air conditioner to work in a second gear (strong gear, T Target temperature of refrigeration ＝T User-set temperature )
SOC Currently, the method is that < 50%: setting the air conditioner to work in a first gear (weak gear, T Target temperature of refrigeration ＜T User-set temperature )
For this temperature adjustment device of the power battery heater, the control module may read, from the internal storage space, thermal power P 1 (thermal power when the power battery heater is operated in the first gear), P 2 (thermal power when the power battery heater is operated in the second gear) and P 3 (thermal power when the power battery heater is operated in the third gear) of the power battery heater when the power battery heater is operated in each gear, determine, according to the initial navigation information, a time t Navigation time and a required mileage S Navigation mileage required for the electric automobile to reach a destination, call the battery management system BMS to query energy consumption per kilometer P Recent energy consumption generated by electric components such as a vehicle system and the like obtained by recent travel records, and a state of charge SOC Full power of the power battery in a full power condition, and set gear control information of the power battery heater according to the following logic:
Setting the power battery heater to work in a third gear (strong gear)
Setting the power battery heater to work in the second gear (middle gear)
Setting the power battery heater to work in the first gear (weak gear)
Or alternativelyOr alternativelySetting the power battery heater not to work
The gear control information can control the temperature regulating equipment such as an air conditioner or a power battery heater to work in a corresponding gear, wherein the same temperature regulating equipment works in a strong gear within the same time period, and has the advantages of maximum power consumption, medium power consumption, and minimum power consumption in a weak gear. The obtained gear control information may be used as the control strategy to be obtained in step S2.
In this embodiment, when the control module performs step S3, that is, performs navigation route planning according to the environmental temperature information and the control policy of the temperature adjustment device, and obtains navigation route information, the following steps may be specifically performed:
s301, determining direction adjustment information according to the environmental temperature gradient information and gear control information;
S302, at least partial adjustment is carried out on the navigation route corresponding to the initial navigation information according to the direction adjustment information, and navigation route information is obtained.
In step S301, referring to fig. 4, the ambient temperature gradient information indicates the temperature gradient direction at each position within a certain range, and the temperature gradient direction is the direction in which the low air temperature is directed to the high air temperature.
The partial example of fig. 4 is illustrated as shown in fig. 5. Referring to fig. 5, for a point on the navigation route corresponding to the initial navigation information, a temperature gradient direction at the point is acquired. Next, according to the shift control information, a directional offset amount for superimposing with the temperature gradient direction is determined such that a change in direction occurs in the temperature gradient direction after the superimposed directional offset amount (if the directional offset amount is zero, the temperature gradient direction after the superimposed directional offset amount is not changed). Specifically, if the temperature adjustment device is a refrigeration function device (such as an air conditioner), the higher the gear control information of the temperature adjustment device (the closer to the strong gear), the closer the generated directional offset is to the direction perpendicular to the direction of the temperature gradient, so that the direction of the temperature gradient superimposed with the directional offset is to the direction perpendicular to the original direction, whereas the lower the gear control information of the temperature adjustment device (the closer to the weak gear), the closer the generated directional offset is to zero or the direction to the direction of the temperature gradient itself, so that the direction of the temperature gradient superimposed with the directional offset is to the original direction; if the temperature adjusting device is a heating function device (such as a power battery heater), the higher the gear control information of the temperature adjusting device (the closer to a strong gear), the closer the generated direction offset is to zero or the direction to the temperature gradient direction itself, so that the temperature gradient direction superimposed with the direction offset is closer to the original direction, whereas the lower the gear control information of the temperature adjusting device (the closer to a weak 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; if the refrigeration function device and the heating function device work simultaneously, the refrigeration effect of the refrigeration function device and the heating effect of the heating function device can be simulated, and then the refrigeration function device and the heating function device are equivalent to one refrigeration function device or heating function device, and the 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 generating the direction offset amount from the shift control information, the temperature gradient direction and the direction offset amount are added, and the obtained vector is the adjustment direction, thereby obtaining the direction adjustment information.
In performing step S302, referring to fig. 6, the navigation route corresponding to the initial navigation information may be divided into a plurality of first route segments of equal length. Taking one first line segment as an example, referring to fig. 6, taking the direction of the start point of the first line segment pointing to the end point as the direction of the first line segment, if the angle difference between the direction of the first line segment and the adjustment direction at the position (for example, the start point) reaches the angle threshold, which indicates that the direction of the first line segment deviates greatly from the adjustment direction at the position (for example, the start point) relatively, referring to fig. 7, the navigation route planning is performed again on the position where the corresponding first line segment is located according to the adjustment direction, so as to obtain the second line segment.
Specifically, the control module may input the coordinates of the start point and the end point of the first route segment into the route planning algorithm of the navigation module, and set "the tangential direction of the start point is the same as the adjustment direction" as a constraint condition, so that the route planning algorithm searches the passable route meeting the constraint condition, and if the corresponding passable route is found, the passable route is output as the second route segment.
Under the condition that the second route segment is output by the path planning algorithm, the second route segment can be directly replaced by the corresponding first route segment in the navigation route corresponding to the initial navigation information, that is, the second route segment and other parts in the navigation route corresponding to the initial navigation information together form a new navigation route, and the new navigation route is used as the navigation route information to be obtained in the step S3.
Under the condition that a second route segment is output by the route planning algorithm, the route size of the second route segment and the corresponding first route segment can be compared, if the route of the second route segment is not larger than the route of the corresponding first route segment, or if the route of the second route segment exceeds the route size of the first route segment by not more than a route threshold (for example, 1 km), the corresponding first route segment is replaced by the second route segment, otherwise, the second route segment is abandoned, the corresponding first route segment is reserved, and excessive electric energy loss of the electric automobile caused by overlong new navigation route is avoided.
In this embodiment, the principle of performing steps S301 to S302 is that: the temperature gradient direction determined by the environmental temperature gradient information represents the direction in which the temperature changes most severely within a certain range, and correspondingly the vertical direction of the temperature gradient direction is the direction in which the temperature does not change, so that when the refrigerating demand represented by the gear control information is stronger, the adjusting direction determined by the generated direction adjusting information deviates from the temperature gradient direction (correspondingly, approaches to the vertical direction of the temperature gradient direction), and when the electric automobile runs along the second route section in the finally generated navigation route information, the electric automobile is in the environment in which the outside temperature changes more gradually, thereby being beneficial to reducing the electric energy consumed by refrigerating; when the heating requirement represented 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, is further away from the vertical direction of the temperature gradient direction), so that when the electric automobile runs along the second route section in the finally generated navigation route information, the electric automobile is in an environment with more intense external air temperature change, and can fully utilize heat provided by the external air temperature to heat the power battery, and the like, thereby being beneficial to reducing the electric energy consumed by heating, and enabling the power battery to reach higher temperature faster and obtain good working performance.
In this embodiment, when executing step S3, that is, performing navigation route planning according to the environmental temperature information and the control policy of the temperature adjustment device, and obtaining navigation route information, the control module may select to execute the following steps in addition to the steps S301 to S302:
p301. obtaining initial navigation information of the electric automobile;
p302. estimating the remaining endurance information of the electric vehicle according to the initial navigation information and the control strategy;
p303. when the remaining endurance information is smaller than the endurance threshold, searching a charging point near the navigation route corresponding to the initial navigation information;
and P304, re-planning the navigation route based on the initial navigation information according to the position of the charging point, and obtaining the navigation route information.
The flow of steps P301-P304 is shown in FIG. 8.
Referring to fig. 8, in step P301, referring to the principle of step S203, the time t Navigation time required for the electric vehicle to reach the destination may be determined according to the initial navigation information, in step P302, taking the temperature adjustment device as a power battery heater as an example, the control module may read, from the internal storage space, the control strategies such as the thermal power P 1 when the power battery heater is operated in each gear (the thermal power when the power battery heater is operated in the first gear), the P 2 (the thermal power when the power battery heater is operated in the second gear), and the P 3 (the thermal power when the power battery heater is operated in the third gear), so that the power consumption may be determined according to the product of P 1、P2 or P 3 and t Navigation time , and the current state of charge SOC Currently, the method is that is subtracted from the power consumption, so as to obtain the remaining cruising ability information of the electric vehicle. The remaining endurance information indicates an ability that the electric energy stored in the power battery is used by the temperature adjusting device and can be supplied to the electric vehicle for traveling in a case where the temperature adjusting device is controlled to operate according to a control strategy. The remaining endurance information in the form of electric quantity can be converted into the remaining endurance information in the form of journey through a table lookup mode and the like, namely the journey size which can be driven by the electric automobile under the condition of no charging is indicated.
In step P303, referring to fig. 8, a endurance threshold (e.g. 10 km) may be set, if the remaining endurance information is smaller than the endurance threshold, the remaining endurance information is indicated to be too small, the control module invokes the navigation module to search a charging point near the navigation route corresponding to the initial navigation information, and step P304 is executed, and navigation route planning is performed again based on the initial navigation information according to the position of the charging point, so as to obtain navigation route information. The navigation route information obtained in step P304 is executed, and the navigation route information starts from the departure place, passes through at least one charging point, and reaches the destination.
By executing the steps P301-P304, the electric automobile can be guided to at least one charging point under the condition that high-power consumption equipment such as temperature adjusting equipment and the like are used in a specific control strategy, so that the electric automobile can obtain the charging guarantee of the charging point, and the risk that the electric automobile cannot normally travel to a destination due to insufficient electric energy stored by the power battery is reduced.
The same technical effects as those of the navigation route planning method of the electric vehicle in the embodiment can be achieved by writing a computer program for executing the navigation route planning method of the electric vehicle in the embodiment, writing the computer program into a computer device or a storage medium, and executing the navigation route planning method of the electric vehicle in the embodiment when the computer program is read out for operation.
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 or indirectly fixed or connected to the other feature. Further, the descriptions of the upper, lower, left, right, etc. used in this disclosure are merely with respect to the mutual positional relationship of the various components of this disclosure in the drawings. As used in this disclosure, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. In addition, unless defined otherwise, all technical and scientific terms used in this example have the same meaning as commonly understood by one of ordinary skill in the art. The terminology used in the description of the embodiments is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The term "and/or" as used in this embodiment includes any combination of one or more of the associated listed items.
It should be understood that although the terms first, second, third, etc. may be used in this disclosure to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element of the same type from another. For example, a first element could also be termed a second element, and, similarly, a second element could also be termed a first element, without departing from the scope of the present disclosure. The use of any and all examples, or exemplary language (e.g., "such as") provided herein, is intended merely to better illuminate embodiments of the invention and does not pose a limitation on the scope of the invention unless otherwise claimed.
It should be appreciated that embodiments of the invention may be implemented or realized by computer hardware, a combination of hardware and software, or by computer instructions stored in a non-transitory computer readable memory. The methods may be implemented in a computer program using standard programming techniques, including a non-transitory computer readable storage medium configured with a computer program, where the storage medium so configured causes a computer to operate in a specific and predefined manner, in accordance with 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, the program(s) can be implemented in assembly or machine language, if desired. In any case, the language may be a compiled or interpreted language. Furthermore, the program can be run on a programmed application specific integrated circuit for this purpose.
Furthermore, the operations of the processes described in the present embodiments may be performed in any suitable order unless otherwise indicated herein or otherwise clearly contradicted by context. The processes (or variations and/or combinations thereof) described in this embodiment may be performed under control of one or more computer systems configured with executable instructions, and may be implemented as code (e.g., executable instructions, one or more computer programs, or one or more applications), by hardware, or combinations thereof, that collectively execute on one or more processors. The computer program includes a plurality of instructions executable by one or more processors.
Further, the method may be implemented in any type of computing platform operatively connected to a suitable computing platform, including, but not limited to, a personal computer, mini-computer, mainframe, workstation, network or distributed computing environment, separate or integrated computer platform, or in communication with a charged particle tool or other imaging device, and so forth. Aspects of the invention may 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, optical read and/or write storage medium, RAM, ROM, etc., such that it is readable by a programmable computer, which when read by a computer, is operable to configure and operate the computer to perform the processes described herein. Further, the machine readable code, or portions thereof, may be transmitted over a wired or wireless network. When such media includes instructions or programs that, in conjunction with a microprocessor or other data processor, implement the above steps, the invention of this embodiment includes these and other different types of non-transitory computer-readable storage media. The invention also includes the computer itself when programmed according to the methods and techniques of the invention.
The computer program can be applied to the input data to perform the functions of the present embodiment, thereby converting the input data to generate output data that is stored to the non-volatile memory. The output information may also be applied to one or more output devices such as a display. In a preferred embodiment of the invention, the transformed data represents physical and tangible objects, including specific visual depictions of physical and tangible objects produced on a display.
The present invention is not limited to the above embodiments, but can be modified, equivalent, improved, etc. by the same means to achieve the technical effects of the present invention without departing from the spirit and principle of the present invention. Various modifications and variations are possible in the technical solution and/or in the embodiments within the scope of the invention.
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.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410577310.3A CN118329064A (en) | 2024-05-10 | 2024-05-10 | Navigation route planning method, computer device and storage medium of electric automobile |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410577310.3A CN118329064A (en) | 2024-05-10 | 2024-05-10 | Navigation route planning method, computer device and storage medium of electric automobile |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN118329064A true CN118329064A (en) | 2024-07-12 |
Family
ID=91772364
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202410577310.3A Pending CN118329064A (en) | 2024-05-10 | 2024-05-10 | Navigation route planning method, computer device and storage medium of electric automobile |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN118329064A (en) |
-
2024
- 2024-05-10 CN CN202410577310.3A patent/CN118329064A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105383495B (en) | Route-based energy consumption estimation using physical models | |
| US10464547B2 (en) | Vehicle with model-based route energy prediction, correction, and optimization | |
| CN108072384B (en) | Vehicle system and method for electric vehicle battery thermal management based on expected power requirements | |
| Shams-Zahraei et al. | Integrated thermal and energy management of plug-in hybrid electric vehicles | |
| CN108883694B (en) | Range extender control | |
| US8428804B2 (en) | In-vehicle charge and discharge control apparatus and partial control apparatus | |
| JP6802222B2 (en) | Peak efficiency recommendations and sharing | |
| US9902392B2 (en) | Mobility information processing apparatus, mobility information processing method, and driving support system | |
| JP4906164B2 (en) | Map display device, map display method, and computer program | |
| US10040369B2 (en) | Cooling system for vehicle device | |
| US9662996B2 (en) | Method for determining the remaining range of a motor vehicle, and motor vehicle | |
| CN106573624B (en) | Method for operating a motor vehicle, motor vehicle and computer program | |
| US20230001824A1 (en) | Route based battery preconditioning systems and methods | |
| US20160303979A1 (en) | Method and device for operating a vehicle | |
| US10081352B2 (en) | Method for operating a navigation system of a hybrid motor vehicle, and hybrid motor vehicle | |
| JP2011102801A (en) | Method of estimating travelable distance of motor vehicle | |
| CN103168211A (en) | Method for determining the range of a motor vehicle | |
| JP7540381B2 (en) | Travel control device, method, and program | |
| US12054072B2 (en) | Information processing system | |
| US20210061132A1 (en) | Control Unit and Method for Conditioning an Energy Store of a Vehicle | |
| CN112009455A (en) | Energy management method and device for hybrid vehicle and vehicle | |
| CN114929541A (en) | Method for operating a motor vehicle and motor vehicle | |
| KR102663544B1 (en) | Method and system for caculating distance to empty of eco-friendly vehicle | |
| US20240053161A1 (en) | Method for Predicting a Velocity Profile of a Vehicle | |
| KR20150012776A (en) | Driving distance display method of electric vehicle |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |