CN107525515B - Charging equipment searching method, system and electronic equipment applied to new-energy automobile - Google Patents
Charging equipment searching method, system and electronic equipment applied to new-energy automobile Download PDFInfo
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- CN107525515B CN107525515B CN201710835125.XA CN201710835125A CN107525515B CN 107525515 B CN107525515 B CN 107525515B CN 201710835125 A CN201710835125 A CN 201710835125A CN 107525515 B CN107525515 B CN 107525515B
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3453—Special cost functions, i.e. other than distance or default speed limit of road segments
- G01C21/3469—Fuel consumption; Energy use; Emission aspects
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3453—Special cost functions, i.e. other than distance or default speed limit of road segments
- G01C21/3484—Personalized, e.g. from learned user behaviour or user-defined profiles
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Abstract
The present invention provides charging equipment searching method, system, memory and the electronic equipment applied to new-energy automobile.Methods described includes：Driving habit coefficient is calculated according to the working condition and default driving habit radix of same day environment temperature in number, the air-conditioning that anxious accelerated events are first produced according to driver's stepping on accelerator pedal in drive recorder, and remaining driving mileage is calculated in conjunction with full electricity comprehensive mileage, present battery SOH and present battery SOC；Then, search for using remaining driving mileage as each charging equipment in the regional extent of radius, and the geographical position for searching for each charging equipment obtained is shown in electronic map；The geographical location information of the target charging equipment selected according to driver provides navigation way.The present invention considers driving habit and season environment instantly, and the two influence to remaining battery distance travelled when searching for the charging equipment on periphery, and Consumer's Experience is substantially increased with more intelligent, hommization design.
Description
Technical Field
The invention relates to the field of new energy automobiles, in particular to a charging equipment searching method and system applied to a new energy automobile and electronic equipment.
Background
At the present stage, the mode that a driver searches for nearby charging facilities when the electric quantity of the new energy automobile is insufficient is still more complicated, the humanization is not enough, and the judgment logic is too single. Generally, the manner of finding a nearby charging facility refers only to the SOC (State of Charge) of the battery, for example: when the electric quantity is insufficient, the combination meter prompts that the electric quantity is exhausted quickly, and then a driver utilizes a vehicle machine or a mobile phone to navigate and search nearby charging facilities, such as: when the electric quantity is insufficient, the combination instrument prompts that the electric quantity is exhausted quickly, and the navigation provides the electronic fence and the like which can be reached by the vehicle furthest according to the residual electric quantity.
The traditional charging facility searching mode only considers the residual battery capacity, does not consider the driving habits of the driver and the current seasonal environment, and does not consider the influence of the driving habits and the seasonal environment of the driver on the residual travel distance of the battery. It can be seen that the charging facility searching scheme of the new energy automobile still needs to be improved at present, so that the user experience is improved through more intelligent and humanized functions.
Disclosure of Invention
In view of the above-mentioned shortcomings of the prior art, an object of the present invention is to provide a charging device searching method, system and electronic device applied to a new energy automobile, which are used to solve the above-mentioned problems in the prior art.
In order to achieve the above and other related objects, the present invention provides a charging device searching method applied to a new energy vehicle, where geographical location information of a plurality of charging devices is prestored in the new energy vehicle, and the method includes: determining a first factor of a driving habit coefficient according to the frequency of the rapid acceleration event generated when a driver steps on an accelerator pedal in a driving record, wherein the greater the frequency of the rapid acceleration event is, the greater the first factor is; calculating an air conditioner cooling/heating coefficient of the new energy automobile according to the current environmental temperature information and a preset rule, wherein the air conditioner cooling/heating coefficient is used as a second factor of the driving habit coefficient; calculating to obtain the driving habit coefficient according to the product of the first factor, the second factor and a preset driving habit base number; calculating the remaining driving mileage of the new energy automobile according to the product of the full-electricity comprehensive mileage of the new energy automobile, the current battery health degree SOH, the current battery remaining capacity percentage SOC and the driving habit coefficient; searching each charging device in an area range taking the residual driving mileage as a radius, and displaying the geographic position of each charging device obtained by searching on an electronic map for a driver to select; and giving a navigation route according to the geographical position information of the target charging equipment selected by the driver.
In an embodiment of the present invention, the new energy vehicle further prestores environment temperature influence coefficients representing performance of the battery at environment temperatures, and the calculation process of the driving habit coefficient further includes: searching an environment temperature influence coefficient corresponding to the current-day environment temperature information from all prestored environment temperature influence coefficients to serve as a third factor of the driving habit coefficient; and calculating to obtain the driving habit coefficient according to the product of the first factor, the second factor, the third factor and a preset driving habit base number.
In an embodiment of the present invention, the calculating process of the driving habit coefficient further includes: determining a fourth factor of the driving habit coefficient according to the working condition of the regenerative braking function of the new energy automobile, wherein the larger the mileage percentage of the regenerative braking function is, the larger the fourth factor is; and calculating to obtain the driving habit coefficient according to the product of the first factor, the second factor, the third factor, the fourth factor and a preset driving habit base number.
In an embodiment of the present invention, the method further includes: judging whether the product of the current battery residual capacity, the driving habit coefficient and the full-electricity comprehensive mileage is lower than a preset threshold value or not; if the judgment result is yes, displaying the cruising mileage in different preset driving scenes for the driver to select; searching each charging device in an area range taking the driving range selected by the driver as the radius, and displaying the geographic position of each charging device obtained by searching on an electronic map for the driver to select; and giving a navigation route according to the geographical position information of the target charging equipment selected by the driver.
In an embodiment of the present invention, the new energy vehicle has type information of a plurality of charging devices stored in advance, and the method further includes: before searching for the charging equipment, giving the type information of the charging equipment for the driver to select; and searching the charging equipment of the target type in the corresponding area range, and displaying the geographical position of each charging equipment obtained by searching on an electronic map for the driver to select.
In one embodiment of the invention, the new energy automobile is provided with a fingerprint identification device and/or a face identification device; the method further comprises the following steps: identifying the identity of the current driver by means of fingerprint identification, face identification or user account login; and calling a corresponding driving record according to the recognition result.
In an embodiment of the present invention, calculating the air-conditioning cooling/heating coefficient of the new energy vehicle according to a preset rule includes: if the ambient temperature of the day is greater than a preset value, calculating the refrigeration coefficient of the air conditioner; the refrigerating coefficient of the air conditioner is (the comprehensive electricity consumption per kilometer-the refrigerating electricity consumption per kilometer)/the comprehensive electricity consumption per kilometer; wherein, the electricity consumption for refrigeration per kilometer is equal to the voltage of an air conditioner compressor, the power supply current of the compressor, the time of 1 hour and the average vehicle speed; if the ambient temperature of the day is less than a preset value, calculating the heating coefficient of the air conditioner; the heating coefficient of the air conditioner is (the comprehensive electricity consumption per kilometer-the heating electricity consumption per kilometer)/the comprehensive electricity consumption per kilometer; the electricity consumption for heating per kilometer is the heater PTC voltage × heater PTC supply current × 1 hour time × average vehicle speed.
In order to achieve the above and other related objects, the present invention provides a charging device search system for a new energy vehicle, including: the storage module is used for prestoring the geographical position information of a plurality of charging devices; the calculation module is used for determining a first factor of the driving habit coefficient according to the frequency of the rapid acceleration event generated when the driver steps on the accelerator pedal in the driving record, wherein the greater the frequency of the rapid acceleration event is, the greater the first factor is; calculating an air conditioner cooling/heating coefficient of the new energy automobile according to the current environmental temperature information, wherein the air conditioner cooling/heating coefficient is used as a second factor of the driving habit coefficient; calculating to obtain the driving habit coefficient according to the product of the first factor, the second factor and a preset driving habit base number; calculating the remaining driving mileage of the new energy automobile according to the product of the full-electricity comprehensive mileage of the new energy automobile, the current battery health degree SOH, the current battery remaining capacity percentage SOC and the driving habit coefficient; the navigation module is used for searching each charging device in an area range taking the residual driving mileage as a radius, and displaying the geographic position of each charging device obtained by searching on an electronic map for a driver to select; and giving a navigation route according to the geographical position information of the target charging equipment selected by the driver.
To achieve the above and other related objects, the present invention provides a storage medium, in which a computer program is stored, and when the computer program is loaded and executed by a processor, the charging device searching method applied to a new energy automobile as described above is implemented.
To achieve the above and other related objects, the present invention provides an electronic device, comprising: a processor, and a memory; wherein the memory is for storing a computer program; the processor is used for loading and executing the computer program to enable the electronic device to execute the charging device searching method applied to the new energy automobile.
As described above, the charging device searching method, the charging device searching system and the electronic device applied to the new energy automobile of the invention have the following beneficial effects: the influence of the driving habits of the driver and the current seasonal environment on the remaining driving mileage of the battery is combined, the given remaining mileage can be more practical, so that the anxiety of the driver on the remaining mileage of the electric automobile is relieved, and the requirements of the driver on vehicle automation and intellectualization are met.
Drawings
Fig. 1 is a topology diagram of a hardware application scenario according to an embodiment of the present invention.
Fig. 2 is a flowchart illustrating a charging device searching method applied to a new energy vehicle according to an embodiment of the present invention.
Fig. 3 is a flow chart of driving habit coefficient calculation according to a preferred embodiment of the invention.
Fig. 4 is a flowchart illustrating a charging device searching method applied to a new energy vehicle according to another embodiment of the present invention.
Fig. 5 is a schematic block diagram of a charging device search system applied to a new energy vehicle according to an embodiment of the present invention.
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.
It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present invention, and the components related to the present invention are only shown in the drawings rather than drawn according to the number, shape and size of the components in actual implementation, and the type, quantity and proportion of the components in actual implementation may be changed freely, and the layout of the components may be more complicated.
The invention provides a charging equipment searching method applied to a new energy automobile, which can be realized by an in-vehicle entertainment host (IVI) shown in figure 1. The vehicle-mounted entertainment host (IVI) is connected with the background server (or cloud) through a vehicle-mounted Gateway (GW), a vehicle-mounted communication module (TBOX) and a vehicle-mounted network. The in-vehicle network may include a conventional CAN network, FLEXRAY, CANFD, MOST, or Ethernet, among others. In addition, the method for reading the vehicle network data is not limited to the TBOX and the GW, and is also applicable to other controllers, external OBD tools, and the like.
The new energy automobile can be stored with geographical position information of a plurality of charging devices in advance through an in-vehicle entertainment host (IVI), and further stored with environmental temperature influence coefficients representing the performance of the battery at various environmental temperatures in advance. As shown in fig. 2, the charging device searching method applied to the new energy vehicle according to the embodiment includes the following steps:
s201: and determining a first factor of the driving habit coefficient according to the frequency of the rapid acceleration events generated when the driver steps on the accelerator pedal in the driving record, wherein the first factor is larger when the frequency of the rapid acceleration events is larger.
In a preferred embodiment, the new energy automobile is provided with a fingerprint identification device, a face identification device and the like. Before step S201 is executed, the new energy vehicle may identify the identity of the current driver through fingerprint recognition, face recognition, or login of a user account of an in-vehicle entertainment host (IVI). And then, calling the driving record of the current driver from the background server according to the recognition result. Of course, the driving record of the relevant person who has driven the current new energy automobile can also be stored in the local in-vehicle entertainment host (IVI). At the moment, the driving record of the current driver can be directly called from the vehicle-mounted entertainment host (IVI) according to the identification result.
S202: and calculating the air-conditioning cooling/heating coefficient of the new energy automobile according to the current environmental temperature information and a preset rule, wherein the air-conditioning cooling/heating coefficient is used as a second factor of the driving habit coefficient.
Specifically, the preset rule includes: if the ambient temperature of the day is greater than a preset value, calculating the refrigeration coefficient of the air conditioner; if the ambient temperature of the day is less than a preset value, calculating the heating coefficient of the air conditioner, wherein: the refrigerating coefficient of the air conditioner is (the comprehensive electricity consumption per kilometer-the refrigerating electricity consumption per kilometer)/the comprehensive electricity consumption per kilometer; the electricity consumption for refrigeration per kilometer is equal to the voltage of an air conditioner compressor, the power supply current of the compressor, the time of 1 hour and the average vehicle speed; the heating coefficient of the air conditioner is (the comprehensive electricity consumption per kilometer-the heating electricity consumption per kilometer)/the comprehensive electricity consumption per kilometer; the heating power consumption per kilometer is the heater PTC voltage × heater PTC supply current × 1 hour time × average vehicle speed.
S203: and calculating to obtain the driving habit coefficient according to the product of the first factor, the second factor and a preset driving habit base number.
Specifically, in another embodiment, the calculating of the driving habit coefficient further includes: searching an environment temperature influence coefficient corresponding to temperature information matched with the current-day environment temperature information from all prestored environment temperature influence coefficients, and taking the environment temperature influence coefficient as a third factor of the driving habit coefficient; and calculating to obtain the driving habit coefficient according to the product of the first factor, the second factor, the third factor and a preset driving habit base number.
Preferably, in another embodiment, the calculating of the driving habit coefficient further includes: determining a fourth factor of the driving habit coefficient according to the working condition of the regenerative braking function of the new energy automobile, wherein the larger the mileage percentage of the regenerative braking function is, the larger the fourth factor is; and calculating to obtain the driving habit coefficient according to the product of the first factor, the second factor, the third factor, the fourth factor and a preset driving habit base number.
Referring to fig. 3, the calculation process of the driving habit coefficient will be described as follows by using a specific example:
step S301: the driving habit base number is set to be 1, 4 gears are divided according to the number of rapid acceleration times of stepping on an accelerator pedal, and each gear is correspondingly multiplied by first factors of 1.01, 1.02, 1.03 and 1.04 respectively. It should be noted that the numerical values in this step are only examples, but not limited thereto.
Step S302: and judging whether the environmental temperature of the day is lower than 15 ℃, if so, executing step S303, otherwise, executing step S304. It should be noted that the numerical values in this step are only examples, but not limited thereto.
Step S303: and calculating the heating coefficient of the air conditioner as a second factor, and multiplying the second factor by the first factor and the base number.
Step S304: and calculating the air conditioner refrigeration coefficient as a second factor, and multiplying the second factor by the first factor and the base number.
Step S305: and multiplying the average temperature of the area on the current day by corresponding environmental temperature influence coefficients, namely third factors. It should be noted that the environmental temperature influence coefficient is obtained from the laboratory test result and is a matrix table of lithium battery performances at different temperatures. Because the coefficients and curves of different types of lithium batteries are different, the environmental temperature influence coefficient is an experimental parameter with empirical properties, and is generally a coefficient per degree centigrade. The invention does not improve the ambient temperature influence coefficient and the acquisition mode, and only utilizes the value of the ambient temperature influence coefficient to participate in the calculation of the driving habit coefficient, so the value of the ambient temperature influence coefficient is not described in detail.
Step S306: according to the on-off of the regenerative braking function, different coefficients, namely fourth factors, are respectively multiplied. It should be noted that regenerative braking charges a battery by absorbing energy during braking, so as to increase the endurance mileage of the entire vehicle. The endurance mileage of a vehicle with a regenerative braking system can be increased by 5-15%, for example: the system can set that the endurance mileage defaulted to 10% is increased, and the regenerative braking energy recovery coefficient is 1.1. The actual values vary from product to product in terms of structure and design; when the regenerative braking function is actively closed by the vehicle owner, the increased mileage is 0, and the regenerative braking energy recovery coefficient is 1.
S204: and calculating the remaining driving mileage of the new energy automobile according to the product of the full-electricity comprehensive mileage (full-electricity comprehensive working condition) of the new energy automobile, the current battery health degree SOH, the current battery remaining capacity percentage SOC and the driving habit coefficient.
S205: and searching each charging device in an area range taking the residual driving mileage as a radius, and displaying the geographical position of each charging device obtained by searching on an electronic map for the driver to select.
In a preferred embodiment, the new energy vehicle is pre-stored with information on types of a plurality of charging devices, such as: quick charge, open air, market, etc. The method further comprises the following steps: before searching for the charging equipment, giving the type information of the charging equipment for the driver to select; and searching the charging equipment of the target type in the corresponding area range, and displaying the geographical position of each charging equipment obtained by searching on an electronic map for the driver to select.
S206: and giving a navigation route according to the geographical position information of the target charging equipment selected by the driver. The navigation comprises the forms of GPS, Beidou, network navigation and the like.
Referring to fig. 4, in another embodiment, the battery management system continuously transmits the SOC information of the high-voltage battery to the entire vehicle network, and the controller, such as TBOX or GW, including the diagnostic chip transmits the SOC value of the remaining battery capacity of the high-voltage battery pack detected from the entire vehicle network to the local in-vehicle entertainment host (IVI). The method further comprises:
firstly, judging whether the product of the current battery residual capacity, the driving habit coefficient and the full-electricity comprehensive mileage is lower than a preset threshold value or not.
Secondly, if the judgment result is yes, displaying the endurance mileage under different preset driving scenes, such as: turning on the air conditioner, turning off the air conditioner, driving aggressively, driving gently, etc. for the driver to select.
And searching each charging device in an area range taking the driving range selected by the driver as the radius, and displaying the geographic position of each charging device obtained by searching on an electronic map for the driver to select.
And finally, giving a navigation route according to the geographical position information of the target charging equipment selected by the driver.
As shown in fig. 5, the charging device search system 5 applied to the new energy vehicle is similar to the principle of the above method embodiment, and includes: a storage module 501, a calculation module 502 and a navigation module 503. Since the technical features in the foregoing method embodiments can be applied to this system embodiment, detailed descriptions thereof are not repeated.
The storage module 501 is used to pre-store the geographical location information of a plurality of charging devices, and optionally pre-store various environmental temperature influence coefficients representing the performance of the battery at various environmental temperatures.
The calculating module 502 is configured to determine a first factor of the driving habit coefficient according to the number of times of the rapid acceleration event generated when the driver steps on the accelerator pedal in the driving record, wherein the greater the number of times of the rapid acceleration event is generated, the greater the first factor is; calculating an air conditioner cooling/heating coefficient of the new energy automobile according to the current environmental temperature information, wherein the air conditioner cooling/heating coefficient is used as a second factor of the driving habit coefficient; calculating to obtain the driving habit coefficient according to the product of the first factor, the second factor and a preset driving habit base number; and calculating the remaining driving mileage of the new energy automobile according to the product of the full-electricity comprehensive mileage of the new energy automobile, the current battery health degree SOH, the current battery remaining capacity percentage SOC and the driving habit coefficient.
The navigation module 503 is configured to search for each charging device within an area range with the remaining driving range as a radius, and display a geographical location of each charging device obtained through the search on an electronic map for a driver to select; and giving a navigation route according to the geographical position information of the target charging equipment selected by the driver.
When the new energy automobile is provided with fingerprint identification equipment and face identification equipment, charging equipment search system 5 applied to the new energy automobile further includes: the identity recognition module is used for recognizing the identity of the current driver in a fingerprint recognition mode, a face recognition mode or a user account login mode; and calling a driving record corresponding to the identity of the current driver according to the recognition result.
In addition, the present invention further includes a storage medium and an electronic device, and the technical features in the foregoing embodiments may be applied to the storage medium embodiment and the electronic device embodiment, so that repeated descriptions are omitted.
The storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disk, in which computer programs are stored, which, when being loaded and executed by a processor, implement all or part of the steps of the charging device search method applied to the new energy vehicle in the foregoing embodiments.
The electronic equipment is equipment comprising a processor (CPU/MCU/SOC), a memory (ROM/RAM), a communication module (wired/wireless network) and a display module, and is preferably a vehicle-mounted computer. Specifically, the memory stores a computer program, and the processor implements all or part of the steps of the charging device searching method applied to the new energy vehicle in the foregoing embodiment when the computer program is loaded and executed.
In conclusion, the present invention effectively overcomes various disadvantages of the prior art and has high industrial utilization value.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
Claims (9)
1. A charging device searching method applied to a new energy automobile is characterized in that geographical location information of a plurality of charging devices is prestored in the new energy automobile, and the method comprises the following steps:
determining a first factor of a driving habit coefficient according to the frequency of the rapid acceleration event generated when a driver steps on an accelerator pedal in a driving record, wherein the greater the frequency of the rapid acceleration event is, the greater the first factor is;
calculating an air conditioner cooling/heating coefficient of the new energy automobile according to the current environmental temperature information and a preset rule, wherein the air conditioner cooling/heating coefficient is used as a second factor of the driving habit coefficient; the method for calculating the air-conditioning refrigeration/heating coefficient of the new energy automobile according to the preset rule comprises the following steps: if the ambient temperature of the day is greater than a preset value, calculating the refrigeration coefficient of the air conditioner; the refrigerating coefficient of the air conditioner is (the comprehensive electricity consumption per kilometer-the refrigerating electricity consumption per kilometer)/the comprehensive electricity consumption per kilometer; wherein, the electricity consumption for refrigeration per kilometer is equal to the voltage of an air conditioner compressor, the power supply current of the compressor, the time of 1 hour and the average vehicle speed; if the ambient temperature of the day is less than a preset value, calculating the heating coefficient of the air conditioner; the heating coefficient of the air conditioner is (the comprehensive electricity consumption per kilometer-the heating electricity consumption per kilometer)/the comprehensive electricity consumption per kilometer; wherein, the electricity consumption for heating per kilometer is the PTC voltage of the heater multiplied by the PTC power supply current of the heater multiplied by the time of 1 hour multiplied by the average vehicle speed;
calculating to obtain the driving habit coefficient according to the product of the first factor, the second factor and a preset driving habit base number;
calculating the remaining driving mileage of the new energy automobile according to the product of the full-electricity comprehensive mileage of the new energy automobile, the current battery health degree SOH, the current battery remaining capacity percentage SOC and the driving habit coefficient;
searching each charging device in an area range taking the residual driving mileage as a radius, and displaying the geographic position of each charging device obtained by searching on an electronic map for a driver to select;
and giving a navigation route according to the geographical position information of the target charging equipment selected by the driver.
2. The method according to claim 1, wherein the new energy automobile is further prestored with various environmental temperature influence coefficients representing the performance of the battery at various environmental temperatures; the calculation process of the driving habit coefficient further comprises the following steps:
searching an environment temperature influence coefficient corresponding to the environment temperature matched with the current-day environment temperature information from all prestored environment temperature influence coefficients, and taking the environment temperature influence coefficient as a third factor of the driving habit coefficient;
and calculating to obtain the driving habit coefficient according to the product of the first factor, the second factor, the third factor and a preset driving habit base number.
3. The method of claim 2, wherein the calculating of the driving habit coefficient further comprises:
determining a fourth factor of the driving habit coefficient according to the working condition of the regenerative braking function of the new energy automobile, wherein the larger the mileage percentage of the regenerative braking function is, the larger the fourth factor is;
and calculating to obtain the driving habit coefficient according to the product of the first factor, the second factor, the third factor, the fourth factor and a preset driving habit base number.
4. The method of claim 1, further comprising:
judging whether the product of the current battery residual capacity, the driving habit coefficient and the full-electricity comprehensive mileage is lower than a preset threshold value or not;
if the judgment result is yes, displaying the cruising mileage in different preset driving scenes for the driver to select;
searching each charging device in an area range taking the driving range selected by the driver as the radius, and displaying the geographic position of each charging device obtained by searching on an electronic map for the driver to select;
and giving a navigation route according to the geographical position information of the target charging equipment selected by the driver.
5. The method according to claim 1 or 4, wherein the new energy automobile is prestored with type information of a plurality of charging devices; the method further comprises the following steps:
before searching for the charging equipment, giving the type information of the charging equipment for the driver to select;
and searching the charging equipment of the target type in the corresponding area range, and displaying the geographical position of each charging equipment obtained by searching on an electronic map for the driver to select.
6. The method according to claim 1, wherein the new energy automobile is provided with a fingerprint recognition device and/or a face recognition device; the method further comprises the following steps:
identifying the identity of the current driver by means of fingerprint identification, face identification or user account login;
and calling a driving record corresponding to the identity of the current driver according to the recognition result.
7. The utility model provides a charging equipment search system for new energy automobile which characterized in that includes:
the storage module is used for prestoring the geographical position information of a plurality of charging devices;
the calculation module is used for determining a first factor of the driving habit coefficient according to the frequency of the rapid acceleration event generated when the driver steps on the accelerator pedal in the driving record, wherein the greater the frequency of the rapid acceleration event is, the greater the first factor is; calculating an air conditioner cooling/heating coefficient of the new energy automobile according to the current environmental temperature information and a preset rule, wherein the air conditioner cooling/heating coefficient is used as a second factor of the driving habit coefficient; the method for calculating the air-conditioning refrigeration/heating coefficient of the new energy automobile according to the preset rule comprises the following steps: if the ambient temperature of the day is greater than a preset value, calculating the refrigeration coefficient of the air conditioner; the refrigerating coefficient of the air conditioner is (the comprehensive electricity consumption per kilometer-the refrigerating electricity consumption per kilometer)/the comprehensive electricity consumption per kilometer; wherein, the electricity consumption for refrigeration per kilometer is equal to the voltage of an air conditioner compressor, the power supply current of the compressor, the time of 1 hour and the average vehicle speed; if the ambient temperature of the day is less than a preset value, calculating the heating coefficient of the air conditioner; the heating coefficient of the air conditioner is (the comprehensive electricity consumption per kilometer-the heating electricity consumption per kilometer)/the comprehensive electricity consumption per kilometer; wherein, the electricity consumption for heating per kilometer is the PTC voltage of the heater multiplied by the PTC power supply current of the heater multiplied by the time of 1 hour multiplied by the average vehicle speed;
calculating to obtain the driving habit coefficient according to the product of the first factor, the second factor and a preset driving habit base number; calculating the remaining driving mileage of the new energy automobile according to the product of the full-electricity comprehensive mileage of the new energy automobile, the current battery health degree SOH, the current battery remaining capacity percentage SOC and the driving habit coefficient;
the navigation module is used for searching each charging device in an area range taking the residual driving mileage as a radius, and displaying the geographic position of each charging device obtained by searching on an electronic map for a driver to select; and giving a navigation route according to the geographical position information of the target charging equipment selected by the driver.
8. A storage medium in which a computer program is stored, wherein the computer program, when being loaded and executed by a processor, implements the charging device searching method for a new energy vehicle according to any one of claims 1 to 6.
9. An electronic device, comprising: a processor, and a memory; wherein,
the memory is used for storing a computer program;
the processor is used for loading and executing the computer program to enable the electronic device to execute the charging device searching method applied to the new energy automobile according to any one of claims 1 to 6.
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| CN108896064A (en) * | 2018-07-05 | 2018-11-27 | 晁保锁 | The arrival time Prediction System applied to GPS navigation system based on information sharing |
| CN109615098A (en) * | 2018-11-23 | 2019-04-12 | 宁波市建筑设计研究院有限公司 | A kind of bus station's charging pile distribution reserving method |
| CN110610311A (en) * | 2019-09-12 | 2019-12-24 | 昆山聚创新能源科技有限公司 | Configuration method and device of vehicle-electricity separation device |
| CN113340315A (en) * | 2020-03-02 | 2021-09-03 | 北京百度网讯科技有限公司 | Vehicle charging method and device, electronic equipment and storage medium |
| CN112373348B (en) * | 2020-12-04 | 2022-04-15 | 江苏科技大学 | An unmanned self-service offshore charging method and charging system thereof |
| CN113895306B (en) * | 2021-10-18 | 2022-05-27 | 南昌工程学院 | New energy automobile charging positioning method and device |
| CN117538765B (en) * | 2024-01-09 | 2024-04-12 | 深圳市骑瑞科技有限公司 | Electric motor bicycle battery electric quantity monitoring method and system |
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| JP3833931B2 (en) * | 2001-11-29 | 2006-10-18 | アルパイン株式会社 | Fuel consumption display method and fuel consumption display device |
| US8793067B2 (en) * | 2009-12-28 | 2014-07-29 | Honda Motor Co., Ltd. | Route searching device |
| JP5553106B2 (en) * | 2010-02-22 | 2014-07-16 | トヨタ自動車株式会社 | Power supply control device |
| CN103935259B (en) * | 2014-03-31 | 2016-04-06 | 同济大学 | Based on the electronlmobil optimal path lookup method of consumption of current |
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| CN106908075B (en) * | 2017-03-21 | 2020-05-08 | 福州大学 | Big data acquisition and processing system and electric vehicle endurance estimation method based on big data acquisition and processing system |
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