CN107525515A - 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 PDF

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Publication number
CN107525515A
CN107525515A CN201710835125.XA CN201710835125A CN107525515A CN 107525515 A CN107525515 A CN 107525515A CN 201710835125 A CN201710835125 A CN 201710835125A CN 107525515 A CN107525515 A CN 107525515A
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coefficient
factor
charging equipment
new
energy automobile
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CN107525515B (en
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璋峰嘲
谷峰
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Aiways Automobile Shanghai Co Ltd
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Jiangxi Love Chi Itvid Industrial Co Ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/26Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
    • G01C21/34Route searching; Route guidance
    • G01C21/3453Special cost functions, i.e. other than distance or default speed limit of road segments
    • G01C21/3469Fuel consumption; Energy use; Emission aspects
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/26Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
    • G01C21/34Route searching; Route guidance
    • G01C21/3453Special cost functions, i.e. other than distance or default speed limit of road segments
    • G01C21/3484Personalized, e.g. from learned user behaviour or user-defined profiles

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  • Engineering & Computer Science (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Automation & Control Theory (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Social Psychology (AREA)
  • Secondary Cells (AREA)
  • Electric Propulsion And Braking For Vehicles (AREA)

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

Charging equipment searching method, system and electronic equipment applied to new-energy automobile
Technical field
The present invention relates to new-energy automobile field, more particularly to the charging equipment searcher applied to new-energy automobile Method, system and electronic equipment.
Background technology
At this stage, the mode of driver's finding nearby electrically-charging equipment in new-energy automobile not enough power supply is still more numerous Trivial, inadequate hommization, decision logic is excessively single.Generally, SOC of the mode of finding nearby electrically-charging equipment only with reference to battery (State of Charge, the state of charge of battery), such as:During not enough power supply, combination instrument prompting electricity exhausts soon, drives The person of sailing searches for neighbouring electrically-charging equipment followed by vehicle device or Mobile Telephone Gps, in another example:During not enough power supply, combination instrument prompting electricity Amount exhausts soon, navigates and provides farthest fence that can be reached of vehicle etc. according to dump energy.
Traditional electrically-charging equipment finds mode and only considered battery dump energy, does not consider the driving habit of driver Instantly season environment, do not account for yet driver driving habit and season environment to the shadow of remaining battery distance travelled Ring.It can be seen that the electrically-charging equipment searching scheme of new-energy automobile still needs to improve at present, so as to by more intelligent and hommization Function improves Consumer's Experience.
The content of the invention
In view of the above the shortcomings that prior art, it is an object of the invention to provide the charging applied to new-energy automobile Equipment searching method, system and electronic equipment, for solving above mentioned problem of the prior art.
In order to achieve the above objects and other related objects, the present invention provides a kind of charging equipment applied to new-energy automobile Searching method, the new-energy automobile prestore the geographical location information of some charging equipments, and methods described includes:According to driving The number of the anxious accelerated events of driver's stepping on accelerator pedal generation determines the factor I of driving habit coefficient in record, wherein, production The number of raw anxious accelerated events is more, and the factor I is bigger;Institute is calculated by preset rules according to same day ambient temperature information Air conditioner refrigerating/heating efficiency of new-energy automobile is stated, the factor Ⅱ as the driving habit coefficient;According to described first because The product of sub, described factor Ⅱ and default driving habit radix, the driving habit coefficient is calculated;According to described new Full electricity comprehensive mileage, present battery health degree SOH, present battery residual power percentage SOC and the driving of energy automobile It is accustomed to the product of coefficient, the remaining driving mileage of the new-energy automobile is calculated;Search using the 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 electronically Figure, so that driver selects;The geographical location information of the target charging equipment selected according to driver provides navigation way.
In one embodiment of the invention, the new-energy automobile also prestores the performance for representing battery under each environment temperature Each ambient temperature effect coefficient, the calculating process of the driving habit coefficient also includes:From each environment temperature to prestore Influence to search ambient temperature effect coefficient corresponding with the same day ambient temperature information in coefficient, as the driving habit system Several factor IIIs;According to the factor I, the factor Ⅱ, the factor III and default driving habit radix Product, the driving habit coefficient is calculated.
In one embodiment of the invention, the calculating process of the driving habit coefficient also includes:According to the new energy vapour The working condition of car regenerative braking capability determines the fourth factor of the driving habit coefficient, wherein, the regenerative braking capability Course continuation mileage percentage it is bigger, the fourth factor is bigger;According to the factor I, the factor Ⅱ, the described 3rd The product of the factor, the fourth factor and default driving habit radix, the driving habit coefficient is calculated.
In one embodiment of the invention, methods described also includes:Judge present battery dump energy, the driving habit system Whether the product of number and the comprehensive mileage of full electricity is less than predetermined threshold value;If the determination result is YES, then different default driving are shown Course continuation mileage under scene, so that driver selects;Searched in regional extent of the course continuation mileage selected using driver as radius Each charging equipment of rope, and the geographical position for searching for each charging equipment obtained is shown in electronic map, so that driver selects; The geographical location information of the target charging equipment selected according to driver provides navigation way.
In one embodiment of the invention, the new-energy automobile prestores the type information of some charging equipments, the side Method also includes:Before charging equipment is searched for, the type information of charging equipment is provided, so that driver selects;In corresponding area The charging equipment of target type is searched in the range of domain, and the geographical position for searching for each charging equipment obtained is shown in electronically Figure, so that driver selects.
In one embodiment of the invention, the new-energy automobile is provided with fingerprint identification device, and/or recognition of face is set It is standby;Methods described also includes:By way of the login of fingerprint recognition, recognition of face or user account, current human pilot is identified Identity;Corresponding drive recorder is transferred according to recognition result.
In one embodiment of the invention, air conditioner refrigerating/heating efficiency of the new-energy automobile, bag are calculated by preset rules Include:If same day environment temperature is more than preset value, the air conditioner refrigerating coefficient is calculated;The air conditioner refrigerating coefficient=(every kilometer The comprehensive refrigeration of power consumption-every kilometer power consumption)/every kilometer of comprehensive power consumption;Wherein, every kilometer of refrigeration power consumption=air conditioner compressed The hours of electromechanical pressure × compressor supply current × 1 × average speed;If same day environment temperature is less than preset value, institute is calculated State air-conditioning heating coefficient;The air-conditioning heating coefficient=(every kilometer comprehensive power consumption-every kilometer heating power consumption)/every kilometer is comprehensive Share electricity;Wherein, every kilometer of heating hours of power consumption=heater PTC voltages × heater PTC supply currents × 1 × Average speed.
In order to achieve the above objects and other related objects, the present invention provides a kind of charging equipment applied to new-energy automobile Search system, including:Memory module, the geographical location information for some charging equipments that prestore;Computing module, driven for basis The number for sailing the anxious accelerated events of driver's stepping on accelerator pedal generation in record determines the factor I of driving habit coefficient, wherein, It is more to produce the number of anxious accelerated events, the factor I is bigger;The new energy is calculated according to same day ambient temperature information Air conditioner refrigerating/heating efficiency of automobile, the factor Ⅱ as the driving habit coefficient;According to the factor I, described The product of factor Ⅱ and default driving habit radix, the driving habit coefficient is calculated;According to the new-energy automobile Full electricity comprehensive mileage, present battery health degree SOH, present battery residual power percentage SOC and the driving habit coefficient Product, the remaining driving mileage of the new-energy automobile is calculated;Navigation module, for searching for in the remaining traveling Journey is each charging equipment in the regional extent of radius, and the geographical position for searching for each charging equipment obtained is shown in into electronics Map, so that driver selects;The geographical location information of the target charging equipment selected according to driver provides navigation way.
In order to achieve the above objects and other related objects, the present invention provides a kind of storage medium, wherein being stored with computer Program, when the computer program is by processor load and execution, realize as above any described filling applied to new-energy automobile Electric equipment searching method.
In order to achieve the above objects and other related objects, the present invention provides a kind of electronic equipment, it is characterised in that including: Processor and memory;Wherein, the memory is used to store computer program;The processor is used for described in load and execution Computer program, so that the electronic equipment performs as above any described charging equipment searcher applied to new-energy automobile Method.
As described above, charging equipment searching method, system and the electronic equipment applied to new-energy automobile of the present invention, tool There is following beneficial effect:Driving habit and influence of the season environment to remaining battery distance travelled instantly with reference to driver, The remaining mileage provided can more be bonded reality, so as to slow down anxiety of the driver to the remaining mileage of electric automobile, also meet to drive The person of sailing automates to vehicle, intelligentized demand.
Brief description of the drawings
Fig. 1 is shown as the hardware adaptations scene topological diagram in one embodiment of the invention.
The flow for the charging equipment searching method applied to new-energy automobile that Fig. 2 is shown as in one embodiment of the invention is shown It is intended to.
Fig. 3 is shown as the driving habit coefficient calculation flow chart in one embodiment of the present invention.
The flow that Fig. 4 is shown as the charging equipment searching method applied to new-energy automobile of another embodiment of the present invention is shown It is intended to.
The module for the charging equipment search system applied to new-energy automobile that Fig. 5 is shown as in one embodiment of the invention is shown It is intended to.
Embodiment
Illustrate embodiments of the present invention below by way of specific instantiation, those skilled in the art can be by this specification Disclosed content understands other advantages and effect of the present invention easily.The present invention can also pass through specific realities different in addition The mode of applying is embodied or practiced, the various details in this specification can also be based on different viewpoints with application, without departing from Various modifications or alterations are carried out under the spirit of the present invention.It should be noted that in the case where not conflicting, following examples and implementation Feature in example can be mutually combined.
It should be noted that the diagram provided in following examples only illustrates the basic structure of the present invention in a schematic way Think, only show the component relevant with the present invention in schema then rather than according to component count, shape and the size during actual implement Draw, kenel, quantity and the ratio of each component can be a kind of random change during its actual implementation, and its assembly layout kenel It is likely more complexity.
The present invention provides a kind of charging equipment searching method applied to new-energy automobile, and this method can pass through Fig. 1 institutes The car entertainment main frame (IVI) that shows is realized.Car entertainment main frame (IVI) passes through car borne gateway (GW), vehicle-carrying communication module (TBOX) and In-vehicle networking is connected with background server (or high in the clouds).In-vehicle networking can include traditional CAN network, FLEXRAY, CANFD, MOST or Ethernet etc..In addition, reading vehicle network data is not limited to TBOX and GW, other controls are also applied for Device processed, or external OBD instruments etc..
The new-energy automobile can prestore the geographical position letter of some charging equipments by car entertainment main frame (IVI) Breath, further also prestore each ambient temperature effect coefficient for representing performance of the battery under each environment temperature.As shown in Fig. 2 The charging equipment searching method applied to new-energy automobile described in the present embodiment comprises the following steps:
S201:The number that anxious accelerated events are produced according to driver's stepping on accelerator pedal in drive recorder determines driving habit system Several factor Is, wherein, produce that the number of anxious accelerated events is more, and the factor I is bigger.
In a preferable embodiment, the new-energy automobile is provided with fingerprint identification device, face recognition device etc.. Before step S201 is performed, the new-energy automobile can pass through fingerprint recognition, recognition of face or car entertainment main frame (IVI) mode such as user account login, the identity of current human pilot is identified.Then, according to recognition result from background server Transfer the drive recorder of current human pilot.Certainly, the drive recorder of the related personnel of the current new-energy automobile of drive the cross also may be used To be stored in local car entertainment main frame (IVI).Now, according to recognition result directly from car entertainment main frame (IVI) itself Transfer the drive recorder of current human pilot.
S202:Air conditioner refrigerating/heating of the new-energy automobile is calculated by preset rules according to same day ambient temperature information Coefficient, the factor Ⅱ as the driving habit coefficient.
Specifically, preset rules include:If same day environment temperature is more than preset value, the air conditioner refrigerating coefficient is calculated; If same day environment temperature is less than preset value, the air-conditioning heating coefficient is calculated, wherein:The air conditioner refrigerating coefficient=(per public In the comprehensive refrigeration of power consumption-every kilometer power consumption)/every kilometer of comprehensive power consumption;Every kilometer of refrigeration power consumption=compressor of air conditioner The hours of voltage × compressor supply current × 1 × average speed;The air-conditioning heating coefficient=(every kilometer of comprehensive electricity consumption - every kilometer heating power consumption of amount)/every kilometer of comprehensive power consumption;Every kilometer of heating power consumption=heater PTC voltages × heater The hours of PTC supply currents × 1 × average speed.
S203:According to the product of the factor I, the factor Ⅱ and default driving habit radix, it is calculated The driving habit coefficient.
Particularly, in another embodiment, the calculating of the driving habit coefficient also includes:From each ring to prestore The ambient temperature effect corresponding to the temperature information matched with the same day ambient temperature information is searched in the Temperature affection factor of border Coefficient, the factor III as the driving habit coefficient;According to the factor I, the factor Ⅱ, the described 3rd because The product of son and default driving habit radix, is calculated the driving habit coefficient.
Preferably, in yet another embodiment, the calculating of the driving habit coefficient also includes:According to the new energy vapour The working condition of car regenerative braking capability determines the fourth factor of the driving habit coefficient, wherein, the regenerative braking capability Course continuation mileage percentage it is bigger, the fourth factor is bigger;According to the factor I, the factor Ⅱ, the described 3rd The product of the factor, the fourth factor and default driving habit radix, the driving habit coefficient is calculated.
Referring to Fig. 3, the calculating process of the driving habit coefficient will be illustrated with specific example below:
Step S301:It is 1 to set driving habit radix, is divided into 4 grades, every grade point according to the anxious acceleration times of stepping on accelerator pedal 1.01,1.02,1.03,1.04 factor I Dui Ying be multiplied by.It should be noted that the numerical value of this step only as an example, But it is not limited thereto.
Step S302:Judge whether same day environment temperature is less than 15 degrees Celsius, if then performing step S303, otherwise perform Step S304.It should be noted that the numerical value of this step is only as an example, but be not limited thereto.
Step S303:Air-conditioning heating coefficient is calculated to be multiplied as factor Ⅱ, and with factor I and radix.
Step S304:Air conditioner refrigerating coefficient is calculated to be multiplied as factor Ⅱ, and with factor I and radix.
Step S305:According to the mean temperature in the same day region, be multiplied by respectively corresponding to ambient temperature effect coefficient, i.e., the Three factors.It should be noted that ambient temperature effect coefficient is drawn by the test result in laboratory, it is lithium battery under different temperatures The matrix table of performance.Because the lithium battery coefficient and curve of different model are different, ambient temperature effect coefficient is one empirical The experiment parameter of matter, usually every degree Celsius of coefficient.Due to the present invention to ambient temperature effect coefficient in itself and Acquisition modes are improved, and the calculating of driving habit coefficient, institute are participated in just with the numerical value of ambient temperature effect coefficient Not to be described in detail herein to the value of ambient temperature effect coefficient.
Step S306:According to the opening and closing of regenerative braking capability, different coefficients, i.e. the fourth factor are multiplied by respectively.Need to illustrate , battery charging is given to regenerative braking by the energy absorbed when braking, to increase the course continuation mileage of vehicle.It is generally configured with again The vehicle of raw brakes can increase by 5~15% course continuation mileage, such as:System is settable be defaulted as 10% course continuation mileage Increase, then regenerating braking energy recovery coefficient is 1.1.Actual numerical value then by product structure and designs different and different;When After regenerative braking capability is actively closed by car owner, this increase mileage is 0, and regenerating braking energy recovery coefficient is 1.
S204:According to the comprehensive mileage of full electricity (the full comprehensive operating mode of electricity), the present battery health degree of the new-energy automobile SOH, present battery residual power percentage SOC and the driving habit coefficient product, are calculated the new-energy automobile Remaining driving mileage.
S205:Search obtains search using the remaining driving mileage as each charging equipment in the regional extent of radius The geographical position of each charging equipment obtained is shown in electronic map, so that driver selects.
In a preferable embodiment, the new-energy automobile prestores the type information of some charging equipments, such as:It hurry up Fast charging, outdoor, market etc..Methods described also includes:Before charging equipment is searched for, the type information of charging equipment is provided, So that driver selects;The charging equipment of target type is searched in corresponding regional extent, and each charging obtained will be searched for The geographical position of equipment is shown in electronic map, so that driver selects.
S206:The geographical location information of the target charging equipment selected according to driver provides navigation way.Navigation includes The forms such as GPS, the Big Dipper, network navigation.
Referring to Fig. 4, in another embodiment, high-tension battery SOC information is constantly sent to vehicle by battery management system The high-tension battery bag dump energy that the controller that network, TBOX or GW etc. include diagnosing chip will detect from vehicle network SOC value is sent to local car entertainment main frame (IVI).Methods described further comprises:
First, it is determined that the product of present battery dump energy, the driving habit coefficient and the comprehensive mileage of full electricity is It is no to be less than predetermined threshold value.
Secondly, if the determination result is YES, then the course continuation mileage under different default Driving Scenes is shown, such as:Turn on the aircondition, do not open Air-conditioning, radical driving, gentle driving etc., so that driver selects.
Again, each charging equipment is searched in regional extent of the course continuation mileage selected using driver as radius, and will be searched The geographical position for each charging equipment that rope obtains is shown in electronic map, so that driver selects.
Finally, the geographical location information of the target charging equipment selected according to driver provides navigation way.
As shown in figure 5, with above method embodiment principle similarly, the present invention is also provided applied to new-energy automobile Charging equipment search system 5, including:Memory module 501, computing module 502, navigation module 503.Due to preceding method embodiment In technical characteristic can apply to the system embodiment, thus it is no longer repeated.
Geographical location information of the memory module 501 for some charging equipments that prestore, selectively prestores expression battery Each ambient temperature effect coefficient of performance under each environment temperature.
The number that computing module 502 is used to produce anxious accelerated events according to driver's stepping on accelerator pedal in drive recorder determines The factor I of driving habit coefficient, wherein, produce that the number of anxious accelerated events is more, and the factor I is bigger;According to work as Its ambient temperature information calculates air conditioner refrigerating/heating efficiency of the new-energy automobile, and the as the driving habit coefficient Two-factor;According to the product of the factor I, the factor Ⅱ and default driving habit radix, described drive is calculated Sail custom coefficient;According to the comprehensive mileage of full electricity, present battery health degree SOH, the remaining electricity of present battery of the new-energy automobile The product of percentage SOC and the driving habit coefficient is measured, the remaining driving mileage of the new-energy automobile is calculated.
Navigation module 503 is used to search for using the 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, so that driver selects;Selected according to driver The geographical location information for the target charging equipment selected provides navigation way.
It is described to be applied to new energy vapour when the new-energy automobile is provided with fingerprint identification device, face recognition device The charging equipment search system 5 of car also includes:Identification module, for passing through fingerprint recognition, recognition of face or user account The mode of login, identify the identity of current human pilot;And transferred according to recognition result corresponding with current human pilot identity Drive recorder.
In addition, present invention additionally comprises a kind of storage medium and a kind of electronic equipment, due to the skill in previous embodiment Art feature can apply to storage medium embodiment, electronic equipment embodiment, thus it is no longer repeated.
The storage medium includes:ROM, RAM, magnetic disc or CD etc. are various can be with the medium of store program codes, its In be stored with computer program, the computer program when by processor load and execution, realize be applied in previous embodiment it is new The all or part of step of the charging equipment searching method of energy automobile.
The electronic equipment be include processor (CPU/MCU/SOC), memory (ROM/RAM), communication module (it is wired/ Wireless network), the equipment of display module, preferably vehicle-mounted computer.Particularly, computer program is stored with the memory, should Processor realizes that the charging equipment in previous embodiment applied to new-energy automobile is searched in computer program described in load and execution Suo Fangfa all or part of step.
In summary, the present invention effectively overcomes various shortcoming of the prior art and has high industrial utilization.
The above-described embodiments merely illustrate the principles and effects of the present invention, not for the limitation present invention.It is any ripe Know the personage of this technology all can carry out modifications and changes under the spirit and scope without prejudice to the present invention to above-described embodiment.Cause This, those of ordinary skill in the art is complete without departing from disclosed spirit and institute under technological thought such as Into all equivalent modifications or change, should by the present invention claim be covered.

Claims (10)

1. a kind of charging equipment searching method applied to new-energy automobile, it is characterised in that the new-energy automobile prestores The geographical location information of some charging equipments, methods described include:
The number that anxious accelerated events are produced according to driver's stepping on accelerator pedal in drive recorder determines the first of driving habit coefficient The factor, wherein, produce that the number of anxious accelerated events is more, and the factor I is bigger;
Air conditioner refrigerating/heating efficiency of the new-energy automobile is calculated by preset rules according to same day ambient temperature information, as The factor Ⅱ of the driving habit coefficient;
According to the product of the factor I, the factor Ⅱ and default driving habit radix, described drive is calculated and practises Used coefficient;
According to the comprehensive mileage of full electricity, present battery health degree SOH, present battery residual power percentage of the new-energy automobile SOC and the driving habit coefficient product, the remaining driving mileage of the new-energy automobile is calculated;
Search will search for each charging obtained using the remaining driving mileage as each charging equipment in the regional extent of radius The geographical position of equipment is shown in electronic map, so that driver selects;
The geographical location information of the target charging equipment selected according to driver provides navigation way.
2. according to the method for claim 1, it is characterised in that the new-energy automobile, which also prestores, represents battery in each ring Each ambient temperature effect coefficient of performance at a temperature of border;The calculating process of the driving habit coefficient also includes:
The environment temperature matched with the same day ambient temperature information is searched from each ambient temperature effect coefficient to prestore Corresponding ambient temperature effect coefficient, the factor III as the driving habit coefficient;
According to the product of the factor I, the factor Ⅱ, the factor III and default driving habit radix, calculate Obtain the driving habit coefficient.
3. according to the method for claim 2, it is characterised in that the calculating process of the driving habit coefficient also includes:
The fourth factor of the driving habit coefficient is determined according to the working condition of the new-energy automobile regenerative braking capability, its In, the course continuation mileage percentage of the regenerative braking capability is bigger, and the fourth factor is bigger;
According to the factor I, the factor Ⅱ, the factor III, the fourth factor and default driving habit base Several products, the driving habit coefficient is calculated.
4. according to the method for claim 1, it is characterised in that methods described also includes:
Judge the product of present battery dump energy, the driving habit coefficient and the comprehensive mileage of full electricity whether less than pre- If threshold value;
If the determination result is YES, then the course continuation mileage under different default Driving Scenes is shown, so that driver selects;
Each charging equipment is searched in regional extent of the course continuation mileage selected using driver as radius, and each of acquisition will be searched for The geographical position of charging equipment is shown in electronic map, so that driver selects;
The geographical location information of the target charging equipment selected according to driver provides navigation way.
5. the method according to claim 1 or 4, it is characterised in that the new-energy automobile prestores some charging equipments Type information;Methods described also includes:
Before charging equipment is searched for, the type information of charging equipment is provided, so that driver selects;
The charging equipment of target type, and the geographical position that each charging equipment obtained will be searched for are searched in corresponding regional extent Put and be shown in electronic map, so that driver selects.
6. according to the method for claim 1, it is characterised in that the new-energy automobile be provided with fingerprint identification device and/ Or face recognition device;Methods described also includes:
By way of the login of fingerprint recognition, recognition of face or user account, the identity of current human pilot is identified;
Drive recorder corresponding with current human pilot identity is transferred according to recognition result.
7. according to the method for claim 1, it is characterised in that the sky that the new-energy automobile is calculated by preset rules Cold/heating efficiency is modulated, including:
If same day environment temperature is more than preset value, the air conditioner refrigerating coefficient is calculated;The air conditioner refrigerating coefficient=(every kilometer The comprehensive refrigeration of power consumption-every kilometer power consumption)/every kilometer of comprehensive power consumption;Wherein, every kilometer of refrigeration power consumption=air conditioner compressed The hours of electromechanical pressure × compressor supply current × 1 × average speed;
If same day environment temperature is less than preset value, the air-conditioning heating coefficient is calculated;The air-conditioning heating coefficient=(every kilometer The comprehensive heating of power consumption-every kilometer power consumption)/every kilometer of comprehensive power consumption;Wherein, every kilometer of heating power consumption=heater The hours of PTC voltages × heater PTC supply currents × 1 × average speed.
A kind of 8. charging equipment search system applied to new-energy automobile, it is characterised in that including:
Memory module, the geographical location information for some charging equipments that prestore;
Computing module, the number for producing anxious accelerated events according to driver's stepping on accelerator pedal in drive recorder determine to drive to practise The factor I of used coefficient, wherein, produce that the number of anxious accelerated events is more, and the factor I is bigger;According to same day environment Temperature information is calculated air conditioner refrigerating/heating efficiency of the new-energy automobile by preset rules, as the driving habit coefficient Factor Ⅱ;According to the product of the factor I, the factor Ⅱ and default driving habit radix, institute is calculated State driving habit coefficient;Remained according to the comprehensive mileage of full electricity, present battery health degree SOH, the present battery of the new-energy automobile Remaining electricity percentage SOC and the driving habit coefficient product, it is calculated in the remaining traveling of the new-energy automobile Journey;
Navigation module, for searching for using the remaining driving mileage as each charging equipment in the regional extent of radius, and it will search The geographical position for each charging equipment that rope obtains is shown in electronic map, so that driver selects;The mesh selected according to driver The geographical location information of mark charging equipment provides navigation way.
9. a kind of storage medium, wherein being stored with computer program, it is characterised in that the computer program is loaded by processor During execution, the charging equipment searching method applied to new-energy automobile as described in any in claim 1 to 7 is realized.
10. a kind of electronic equipment, it is characterised in that including:Processor and memory;Wherein,
The memory is used to store computer program;
The processor is used for computer program described in load and execution, so that the electronic equipment is performed as in claim 1 to 7 Any described charging equipment searching method applied to new-energy automobile.
CN201710835125.XA 2017-09-15 2017-09-15 Charging equipment searching method, system and electronic equipment applied to new-energy automobile Active CN107525515B (en)

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Cited By (7)

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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
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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
CN112373348A (en) * 2020-12-04 2021-02-19 江苏科技大学 Unmanned self-service marine charging method and charging system thereof
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CN113895306A (en) * 2021-10-18 2022-01-07 南昌工程学院 New energy automobile charging positioning method and device
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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
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CN113895306A (en) * 2021-10-18 2022-01-07 南昌工程学院 New energy automobile charging positioning method and device
CN117538765A (en) * 2024-01-09 2024-02-09 深圳市骑瑞科技有限公司 Electric quantity monitoring method and system for electric bicycle battery
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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