CN204359914U - Based on the automobile batteries diagnostic system of car networking - Google Patents
Based on the automobile batteries diagnostic system of car networking Download PDFInfo
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- CN204359914U CN204359914U CN201420795887.3U CN201420795887U CN204359914U CN 204359914 U CN204359914 U CN 204359914U CN 201420795887 U CN201420795887 U CN 201420795887U CN 204359914 U CN204359914 U CN 204359914U
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies relating to charging of electric vehicles
- Y02T90/16—Information or communication technologies improving the operation of electric vehicles
- Y02T90/167—Systems integrating technologies related to power network operation and communication or information technologies for supporting the interoperability of electric or hybrid vehicles, i.e. smartgrids as interface for battery charging of electric vehicles [EV] or hybrid vehicles [HEV]
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S30/00—Systems supporting specific end-user applications in the sector of transportation
- Y04S30/10—Systems supporting the interoperability of electric or hybrid vehicles
- Y04S30/12—Remote or cooperative charging
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Abstract
The disclosed automobile batteries diagnostic system based on car networking of the utility model, comprises car-mounted terminal, remote server, mobile terminal; Described mobile terminal receives the remote diagnosis instruction of user's input, and sends described diagnostic instruction by described remote server to described car-mounted terminal; After described car-mounted terminal receives described diagnostic instruction, obtain battery data and comprise battery charging condition, cell voltage, battery current, battery temperature, battery capacity, battery loss; Described remote server, according to the default weight of often kind of data in described battery data and described battery data, draws vehicle trouble analysis result, and sends described analysis result to described mobile terminal; Described mobile terminal shows described analysis result.Thus realize long-rangely analyzing batteries of electric automobile.
Description
Technical field
The utility model relates to areas of information technology, particularly relates to a kind of automobile batteries diagnostic system based on car networking.
Background technology
Along with social development, automobile comes into life gradually by a kind of high-end vehicles, and increasing people has oneself automobile.Battery is the power resources of electric automobile, battery failures can affect car steering even driver's personal safety, how to carry out Battery Diagnostic by 4S shop at present, this diagnostic mode comparatively bothers, and how to carry out remote battery diagnosis to vehicle is the current technical issues that need to address.
Utility model content
The utility model embodiment provides a kind of automobile batteries diagnostic system based on car networking, in order to realize long-rangely analyzing batteries of electric automobile.
The utility model embodiment adopts following technical scheme:
Based on an automobile batteries diagnostic system for car networking, comprise car-mounted terminal, remote server, mobile terminal;
Described mobile terminal and described car-mounted terminal are bound, and described mobile terminal comprises: sending module;
Described sending module receives the remote diagnosis instruction of user's input, and sends described diagnostic instruction by described remote server to described car-mounted terminal;
Described car-mounted terminal comprises: interface module, acquisition module, communication module;
Described interface module connects the data-interface be arranged on electric automobile;
Described acquisition module connects described interface module;
After described communication module receives described diagnostic instruction, trigger described acquisition module obtain battery data and described battery data is transferred to described communication module, described battery data comprises battery charging condition, cell voltage, battery current, battery temperature, battery capacity, battery loss;
Described communication module and described remote server communicate to connect, and send described battery data to described remote server;
Described remote server, according to the default weight of often kind of data in described battery data and described battery data, draws vehicle trouble analysis result, and sends described analysis result to described mobile terminal;
Described mobile terminal also comprises: receiver module and the display module be electrically connected with described receiver module;
Described receiver module receives described analysis result, and transmits described analysis result to described display module, shows described analysis result by described display module.
In one embodiment, described acquisition module, obtain travelling data and described travelling data is transferred to described communication module, described travelling data comprises turning rate, acceleration brief acceleration, brake brief acceleration, ramp driving hourly velocity amplitude of variation, drives duration;
Described communication module and described remote server communicate to connect, and send described travelling data to described remote server;
Described remote server is according to described turning rate, and drawing turns drives analysis result; Described remote server, according to described acceleration brief acceleration, draws and accelerates to drive analysis result; Described remote server, according to described brake brief acceleration, show that analysis result is driven in brake; Described remote server, according to described ramp driving hourly velocity amplitude of variation, show that analysis result is driven in ramp; Described remote server, according to described driving duration, draws fatigue driving analysis result;
Described remote server drives analysis result according to described turning and analysis result is driven in described acceleration and analysis result is driven in described brake and analysis result and described fatigue driving analysis result are driven in described ramp, draw driving efficiency analysis result, and send described driving efficiency analysis result to described mobile terminal;
Described receiver module receives described driving efficiency analysis result, and transmits described analysis result to described display module, shows described driving efficiency analysis result by described display module.
In one embodiment, described car-mounted terminal also comprises locating module and gyro module;
Described locating module connects described acquisition module, provides vehicle position data in real time to described acquisition module;
Gyro module connects described acquisition module, provides travel direction data and Gradient in real time to described acquisition module.
In one embodiment, described car-mounted terminal also comprises clock module;
Described clock module connects described acquisition module, provides clock information in real time to described acquisition module;
The described travelling data that described acquisition module obtains also comprises real-time speed record;
Described remote server, according to described real-time speed record, draws max. speed;
Described remote server sends described F-Zero to described mobile terminal, shows described max. speed by described mobile terminal.
In one embodiment, the described travelling data that described acquisition module obtains also comprises real-time speed record and driving route;
Described remote server integrates described real-time speed and described driving route, draws driver behavior figure;
Described remote server sends described driver behavior figure to described mobile terminal, shows described driver behavior figure by described mobile terminal.
In one embodiment, the described travelling data that described acquisition module obtains also comprises number of times of bringing to a halt; Described bring to a halt for: when vehicle acceleration is greater than X, is recorded as and once brings to a halt, X span be-0.2g to-0.5g, g be acceleration of gravity;
To bring to a halt described in described remote server sends to described mobile terminal number of times, number of times of bringing to a halt described in described mobile terminal shows.
In one embodiment, the described travelling data that described acquisition module obtains also comprises anxious acceleration times; Described anxious acceleration is: when vehicle acceleration is greater than Y, and be recorded as a priority and accelerate, Y span is 0.2g to 0.5g, g is acceleration of gravity;
Described remote server sends described anxious acceleration times to described mobile terminal, shows described anxious acceleration times by described mobile terminal.
In one embodiment, the described travelling data that described acquisition module obtains also comprises zig zag number of times; Described zig zag is: when vehicle angular velocity is greater than preset angle speed, is recorded as and once takes a sudden turn;
Described remote server sends described zig zag number of times to described mobile terminal, shows described zig zag number of times by described mobile terminal.
In one embodiment, described remote server stores described travelling data with the form of bar code or Quick Response Code or numbering.
In one embodiment, described car-mounted terminal also comprises alarm module;
Described alarm module connects described acquisition module, when described driving duration exceedes preset value, sends chimes of doom.
In one embodiment, described acquisition module obtains battery data and described battery data is transferred to described communication module, and described battery data comprises following at least one information: battery charging condition, cell voltage, battery current, battery temperature, battery capacity, battery loss degree;
Described communication module sends described battery data to described remote server;
Described remote server, according to the default weight of often kind of information in described battery data and described battery data, draws battery status analysis result, and sends described battery status analysis result to described mobile terminal;
Described receiver module receives described battery status analysis result, and transmits described battery status analysis result to described display module, shows described battery status analysis result by described display module.
Automobile batteries diagnostic system based on car networking of the present utility model, mobile terminal receives the remote diagnosis instruction of user's input, and sends described diagnostic instruction by remote server to car-mounted terminal; After car-mounted terminal receives diagnostic instruction, obtain battery data; Remote server, according to the default weight of often kind of data in battery data and battery data, draws vehicle trouble analysis result, and sends analysis result to mobile terminal; Mobile terminal display analysis result.Thus realize long-rangely analyzing batteries of electric automobile.
Should be understood that, it is only exemplary and explanatory that above general description and details hereinafter describe, and can not limit the disclosure.
Accompanying drawing explanation
Accompanying drawing to be herein merged in instructions and to form the part of this instructions, shows and meets embodiment of the present utility model, and is used from instructions one and explains principle of the present utility model.
Fig. 1 is the communication mode schematic diagram of the automobile batteries diagnostic system based on car networking shown in the utility model embodiment;
Fig. 2 is the structural drawing of the automobile batteries diagnostic system based on car networking shown in the utility model one embodiment;
Fig. 3 is the structural drawing of the automobile batteries diagnostic system based on car networking shown in another embodiment of the utility model;
Fig. 4 is the structural drawing of the automobile batteries diagnostic system based on car networking shown in the another embodiment of the utility model.
Embodiment
Here will be described exemplary embodiment in detail, its sample table shows in the accompanying drawings.When description below relates to accompanying drawing, unless otherwise indicated, the same numbers in different accompanying drawing represents same or analogous key element.Embodiment described in following exemplary embodiment does not represent all embodiments consistent with the utility model.On the contrary, they only with as in appended claims describe in detail, the example of apparatus and method that aspects more of the present utility model are consistent.
Fig. 1 shows the communication mode of the automobile batteries diagnostic system based on car networking that the utility model embodiment provides, car-mounted terminal 110, remote server 120, connected by wireless network between mobile terminal 130, this wireless network can be the network with data-transformation facility provided by common carrier, include but not limited to GSM (global system for mobile communications, Global System for Mobile Communication) network, CDMA (Code Division Multiple Access, CDMA) network, LTE (Long Term Evolution, Long Term Evolution) network, in the utility model embodiment, mobile terminal 130 can be mobile phone, panel computer etc., the utility model embodiment does not limit.
As shown in Figure 2, the utility model embodiment provides a kind of automobile batteries diagnostic system based on car networking, comprises car-mounted terminal 110, remote server 120, mobile terminal 130;
Described mobile terminal 130 is bound with described car-mounted terminal 110, and described mobile terminal 130 comprises: sending module 133;
Described sending module 133 receives the remote diagnosis instruction of user's input, and sends described diagnostic instruction by described remote server 120 to described car-mounted terminal 110;
Described car-mounted terminal 110 comprises: interface module 111, acquisition module 112, communication module 113;
Described interface module 111 connects the data-interface be arranged on electric automobile.In the utility model embodiment, described battery data is obtained for realizing acquisition module 112, described interface module 111 can connect automobile OBD (On-Board Diagnostic, onboard diagnostic system) interface, also the equipment gathering battery sensor data can be connected, automobile OBD interface can also be connected and connect the equipment gathering battery sensor data simultaneously, the utility model embodiment does not limit concrete connected mode, can realize acquisition module 112 and gather described battery data.
Described acquisition module 112 connects described interface module 111;
After described communication module 113 receives described diagnostic instruction, trigger described acquisition module 112 obtain battery data and described battery data is transferred to described communication module 113, described battery data comprises battery charging condition, cell voltage, battery current, battery temperature, battery capacity, battery loss;
Described communication module 113 communicates to connect with described remote server 120, sends described battery data to described remote server 120;
Described remote server 120, according to the default weight of often kind of data in described battery data and described battery data, draws vehicle trouble analysis result, and sends described analysis result to described mobile terminal 130;
Described mobile terminal 130 also comprises: receiver module 131 and the display module 132 be electrically connected with described receiver module 131;
Described receiver module 132 receives described analysis result, and transmits described analysis result to described display module 132, shows described analysis result by described display module 132.
In the utility model embodiment, arrange numerical range to cell voltage, battery current, battery temperature in described battery data in advance, according to following table, method determines the analysis result of often kind of battery data in described battery data.
| Battery data | Analysis result |
| Cell voltage | Total score 100 points often super preset range once subtracts 20 points |
| Battery current | Total score 100 points often super preset range once subtracts 20 points |
| Battery temperature | Total score 100 points often super preset range once subtracts 20 points |
in the utility model embodiment, cell capacity analysis result total score is 100 points, if battery capacity is less than preset duration lower than setting capacity duration, then cell capacity analysis result is 100 points; If battery capacity equals preset duration lower than setting capacity duration, then cell capacity analysis result is 60 points; If battery capacity is greater than preset duration lower than setting capacity duration, then cell capacity analysis result is successively decreased lower than the increase of setting capacity duration with battery capacity on the basis of 60 points.
In the utility model embodiment, battery charging condition analysis result total score is 100 points, and battery charging and discharging is every once subtracts 20 points extremely, draws battery charging condition analysis result.Battery charging and discharging is abnormal refers to battery charging failure and/or battery discharge failure.
In the utility model embodiment, battery loss degree analyzing result total score is 100 points, if battery loss degree is less than preset duration higher than the duration of loss, then battery loss analysis result is 100 points; If battery loss degree equals preset duration higher than the duration of loss, then battery loss analysis result is 60 points; If battery loss degree is greater than preset duration higher than the duration of loss, then battery loss analysis result successively decreases higher than the duration increase of loss with battery loss degree on the basis of 60 points.
In the utility model embodiment, distribute respective weight in advance to above-mentioned often kind of battery data, all weight sums are 100%, be added by often kind of battery data, draw battery analysis result with the long-pending of corresponding weight.It should be noted that, if described acquisition module 112 does not collect a certain battery data, then giving tacit consent to this analysis result is 100 points.
In the utility model embodiment, the battery analysis result of multiple users of statistics, adjusts the weight proportion of above-mentioned often kind of battery data analysis result.
Other embodiments of the utility model can also adopt additive method to draw battery data analysis result, and the utility model embodiment does not limit.
In the utility model embodiment, described acquisition module 112 connects described interface module 111, obtain travelling data and described travelling data is transferred to described communication module 113, described travelling data comprises turning rate, acceleration brief acceleration, brake brief acceleration, ramp driving hourly velocity amplitude of variation, drives duration.It should be noted that, the interface that the data that described travelling data comprises can be arranged from automobile gets; Also can gather the data that the units test that is built in described car-mounted terminal 110 arrives, such as, in described car-mounted terminal 110, built-in height above sea level detection means provides elevation data to described acquisition module 112, in order to carry out ramp judgement.
Described communication module 113 communicates to connect with described remote server 120, sends described travelling data to described remote server 120.Such as, described communication module 113 can be communicated to connect by carrier network and described remote server 120.
Described remote server 120 is according to described turning rate, and drawing turns drives analysis result.In the utility model embodiment, pre-set peak turn rate.If turning rate is less than default peak turn rate, then turning and driving analysis result is 100 points; If turning rate equals default peak turn rate, then turning and driving analysis result is 60 points; If turning rate is greater than default peak turn rate, then driving analysis result of turning successively decreases with the increase of turning rate on the basis of 60 points.When repeatedly (more than twice and twice) turns, analyze each analysis result of turning as stated above, and repeatedly analysis result is averaged as final analysis result.It should be noted that, if do not occur in driving procedure that turning driving behavior or described acquisition module 112 do not collect described turning rate, then giving tacit consent to described curved driving analysis result is 100 points.
Described remote server 120, according to described acceleration brief acceleration, draws and accelerates to drive analysis result.In the utility model embodiment, pre-set peak acceleration (such as 0.40g), if accelerate brief acceleration to be less than default peak acceleration, then accelerating to drive analysis result is 100 points; If accelerate brief acceleration to equal default peak acceleration, then accelerating to drive analysis result is 60 points; If accelerate brief acceleration to be greater than default peak acceleration, then accelerate to drive analysis result and successively decrease with the increase accelerating brief acceleration on the basis of 60 points.When repeatedly (more than twice and twice) accelerates, analyze each analysis result accelerated as stated above, and repeatedly analysis result is averaged as final analysis result.It should be noted that, if described acquisition module 112 does not collect described acceleration brief acceleration, then giving tacit consent to described acceleration driving analysis result is 100 points.
Described remote server 120, according to described brake brief acceleration, show that analysis result is driven in brake.In the utility model embodiment, pre-set acceleration (such as-0.40g), if brake brief acceleration is less than default acceleration, then analysis result is driven in brake is 100 points; If brake brief acceleration equals default acceleration, then analysis result is driven in brake is 60 points; If brake brief acceleration is greater than default acceleration, then accelerates to drive analysis result and successively decrease with the increase of acceleration on the basis of 60 points.Repeatedly during (more than twice and twice) brake, analyze the analysis result of each brake as stated above, and repeatedly analysis result is averaged as final analysis result.It should be noted that, if described acquisition module 112 does not collect described brake brief acceleration, then giving tacit consent to described brake driving analysis result is 100 points.
Described remote server 120, according to described ramp driving hourly velocity amplitude of variation, show that analysis result is driven in ramp.In the utility model embodiment, pre-set velocity variations amplitude, if hourly velocity amplitude of variation is driven pre-setting in velocity variations amplitude range in ramp, then analysis result is driven in ramp is 100 points; Equal to pre-set velocity variations amplitude if hourly velocity amplitude of variation is driven in ramp, then analysis result is driven in ramp is 60 points; If ramp driving hourly velocity amplitude of variation exceeds pre-set velocity variations amplitude, then driving analysis result in ramp successively decreases with the increase exceeded on the basis of 60 points.Repeatedly during (more than twice and twice) ramp driving, analyze the analysis result of each ramp driving as stated above, and repeatedly analysis result is averaged as final analysis result.It should be noted that, if described acquisition module 112 does not collect described ramp driving hourly velocity amplitude of variation, then giving tacit consent to described ramp driving analysis result is 100 points.
Described remote server 120, according to described driving duration, draws driving duration.Wherein driving duration is continuous driving time, and such as, when driving duration within 2 hours time (containing 2 hours), fatigue driving analysis result is 100 points; When drive duration more than 2 hours (not containing) within 3 hours (containing) time, fatigue driving analysis result is 80 points; When drive duration more than 3 hours (not containing) within 4 hours (not containing) time, fatigue driving analysis result is 60 points; When driving duration more than 4 hours (containing), fatigue driving analysis result is 0 point.It should be noted that, if described acquisition module 112 does not collect described driving duration, then giving tacit consent to described fatigue driving analysis result is 100 points.
Described remote server 120 drives analysis result according to described turning and analysis result is driven in described acceleration and analysis result is driven in described brake and analysis result and described fatigue driving analysis result are driven in described ramp, draw driving efficiency analysis result, and send described driving efficiency analysis result to described mobile terminal 130.In the utility model embodiment, drive analysis result to above-mentioned often kind and distribute respective weighted value, all weighted value sums are 100%, such as the weighted value of described driving analysis result of turning, described acceleration driving analysis result, described brake driving analysis result, described ramp driving analysis result, described fatigue driving analysis result is 20%, often kind is driven the score value of analysis result to be added with the long-pending of corresponding weighted value, draw driving efficiency analysis result.Certainly, other embodiments of the utility model can also adopt additive method to draw driving efficiency analysis result, and the utility model embodiment does not limit.
In the utility model embodiment, the driving efficiency analysis result of multiple users of statistics, adjusts the weighted value proportion of above-mentioned often kind of driving analysis result.
In the utility model embodiment, the score value P of driving efficiency analysis result, during P >=80, described remote server 120 sends the prompting of " your driving behavior is good, please continue to keep " to described mobile terminal 130; The score value P of driving efficiency analysis result, during 60≤P < 80, described remote server 120 sends the prompting of " driving behavior please noting you " to described mobile terminal 130, and represents triggering times and the trigger state of each design parameter with different colour codes in information; The score value P of driving efficiency analysis result, during P < 60, described remote server 120 sends the prompting of " your driving behavior exists serious potential safety hazard; please correct your driving behavior in time " to described mobile terminal 130, and represents triggering times and the trigger state of each design parameter with different colour codes.
Described mobile terminal 130 is bound with described car-mounted terminal 110, and described mobile terminal 130 comprises: receiver module 131 and the display module 132 be electrically connected with described receiver module;
Described receiver module 131 receives described driving efficiency analysis result, and transmits described driving efficiency analysis result to described display module 132, shows described driving efficiency analysis result by described display module 132.
In the utility model embodiment, described mobile terminal 130 with described car-mounted terminal 110 binding method is, described mobile terminal 130 sends the coding of described car-mounted terminal 110 to described remote server 120, and described car-mounted terminal 110 is bound with described mobile terminal 130 according to the coding of described car-mounted terminal 110 by described remote server 120.
In the utility model embodiment, pre-determined threshold threshold value is utilized to filter the misdata in described travelling data, such as, due to vehicle vibration, the oil mass that car-mounted terminal 110 gathers in vehicle travel process may be greater than oil mass when just driving, and is now fallen by the oil mass data filtering collected.
In the utility model embodiment, described car-mounted terminal 110 also comprises locating module 114 and gyro module 115 as shown in Figure 3;
Described locating module 114 connects described acquisition module 112, provides vehicle position data in real time to described acquisition module 112;
Gyroscope mould 115 pieces connects described acquisition module 112, provides travel direction data and Gradient in real time to described acquisition module 112.
In the utility model embodiment, described car-mounted terminal also comprises clock module 116;
Described clock module 116 connects described acquisition module 112, provides clock information in real time to described acquisition module;
The described travelling data that described acquisition module 112 obtains also comprises real-time speed record;
Described remote server 120, according to described real-time speed record, draws max. speed;
Described remote server 120 sends described F-Zero to described mobile terminal 130, shows described max. speed by described mobile terminal 130.
In the utility model embodiment, the described travelling data that described acquisition module 112 obtains also comprises real-time speed record and driving route;
Described remote server 120 integrates described real-time speed and described driving route, draws driver behavior figure, and described driver behavior figure shows described driving route and shows the road speed of each section on described driving route.
Described remote server 120 sends described driver behavior figure to described mobile terminal 130, shows described driver behavior figure by described mobile terminal 113.
In the utility model embodiment, the described travelling data that described acquisition module 112 obtains also comprises number of times of bringing to a halt; Described bring to a halt for: when vehicle acceleration is greater than X, is recorded as and once brings to a halt, X span be-0.20g to-0.50g, g be acceleration of gravity.Such as, when vehicle acceleration is greater than-0.20g, is recorded as and once brings to a halt; Such as, when vehicle acceleration is greater than-0.21g, is recorded as and once brings to a halt; Such as, when vehicle acceleration is greater than-0.22g, is recorded as and once brings to a halt; Such as, when vehicle acceleration is greater than-0.23g, is recorded as and once brings to a halt; Such as, when vehicle acceleration is greater than-0.24g, is recorded as and once brings to a halt; Such as, when vehicle acceleration is greater than-0.25g, is recorded as and once brings to a halt; Such as, when vehicle acceleration is greater than-0.26g, is recorded as and once brings to a halt; Such as, when vehicle acceleration is greater than-0.27g, is recorded as and once brings to a halt; Such as, when vehicle acceleration is greater than-0.28g, is recorded as and once brings to a halt; Such as, when vehicle acceleration is greater than-0.29g, is recorded as and once brings to a halt; Such as, when vehicle acceleration is greater than-0.30g, is recorded as and once brings to a halt; Such as, when vehicle acceleration is greater than-0.31g, is recorded as and once brings to a halt; Such as, when vehicle acceleration is greater than-0.32g, is recorded as and once brings to a halt; Such as, when vehicle acceleration is greater than-0.33g, is recorded as and once brings to a halt; Such as, when vehicle acceleration is greater than-0.34g, is recorded as and once brings to a halt; Such as, when vehicle acceleration is greater than-0.35g, is recorded as and once brings to a halt; Such as, when vehicle acceleration is greater than-0.36g, is recorded as and once brings to a halt; Such as, when vehicle acceleration is greater than-0.37g, is recorded as and once brings to a halt; Such as, when vehicle acceleration is greater than-0.38g, is recorded as and once brings to a halt; Such as, when vehicle acceleration is greater than-0.39g, is recorded as and once brings to a halt; Such as, when vehicle acceleration is greater than-0.40g, is recorded as and once brings to a halt; Such as, when vehicle acceleration is greater than-0.41g, is recorded as and once brings to a halt; Such as, when vehicle acceleration is greater than-0.42g, is recorded as and once brings to a halt; Such as, when vehicle acceleration is greater than-0.43g, is recorded as and once brings to a halt; Such as, when vehicle acceleration is greater than-0.44g, is recorded as and once brings to a halt; Such as, when vehicle acceleration is greater than-0.45g, is recorded as and once brings to a halt; Such as, when vehicle acceleration is greater than-0.46g, is recorded as and once brings to a halt; Such as, when vehicle acceleration is greater than-0.47g, is recorded as and once brings to a halt; Such as, when vehicle acceleration is greater than-0.48g, is recorded as and once brings to a halt; Such as, when vehicle acceleration is greater than-0.49g, is recorded as and once brings to a halt; Such as, when vehicle acceleration is greater than-0.50g, is recorded as and once brings to a halt.
To bring to a halt described in described remote server 120 sends to described mobile terminal 130 number of times, number of times of bringing to a halt described in described mobile terminal 130 shows.Concrete, number of times of bringing to a halt described in described receiver module 131 receives, and number of times of bringing to a halt described in transmitting to described display module 132, number of times of bringing to a halt described in described display module 132 shows.
In the utility model embodiment, the described travelling data that described acquisition module 112 obtains also comprises anxious acceleration times; Described anxious acceleration is: when vehicle acceleration is greater than Y, and be recorded as a priority and accelerate, Y span is 0.20g to 0.50g.Such as, when vehicle acceleration is greater than 0.2g, is recorded as a priority and accelerates; Such as, when vehicle acceleration is greater than 0.21g, is recorded as a priority and accelerates; Such as, when vehicle acceleration is greater than 0.22g, is recorded as a priority and accelerates; Such as, when vehicle acceleration is greater than 0.23g, is recorded as a priority and accelerates; Such as, when vehicle acceleration is greater than 0.24g, is recorded as a priority and accelerates; Such as, when vehicle acceleration is greater than 0.25g, is recorded as a priority and accelerates; Such as, when vehicle acceleration is greater than 0.26g, is recorded as a priority and accelerates; Such as, when vehicle acceleration is greater than 0.27g, is recorded as a priority and accelerates; Such as, when vehicle acceleration is greater than 0.28g, is recorded as a priority and accelerates; Such as, when vehicle acceleration is greater than 0.29g, is recorded as a priority and accelerates; Such as, when vehicle acceleration is greater than 0.30g, is recorded as a priority and accelerates; Such as, when vehicle acceleration is greater than 0.31g, is recorded as a priority and accelerates; Such as, when vehicle acceleration is greater than 0.32g, is recorded as a priority and accelerates; Such as, when vehicle acceleration is greater than 0.33g, is recorded as a priority and accelerates; Such as, when vehicle acceleration is greater than 0.34g, is recorded as a priority and accelerates; Such as, when vehicle acceleration is greater than 0.35g, is recorded as a priority and accelerates; Such as, when vehicle acceleration is greater than 0.36g, is recorded as a priority and accelerates; Such as, when vehicle acceleration is greater than 0.37g, is recorded as a priority and accelerates; Such as, when vehicle acceleration is greater than 0.38g, is recorded as a priority and accelerates; Such as, when vehicle acceleration is greater than 0.39g, is recorded as a priority and accelerates; Such as, when vehicle acceleration is greater than 0.40g, is recorded as a priority and accelerates; Such as, when vehicle acceleration is greater than 0.41g, is recorded as a priority and accelerates; Such as, when vehicle acceleration is greater than 0.42g, is recorded as a priority and accelerates; Such as, when vehicle acceleration is greater than 0.43g, is recorded as a priority and accelerates; Such as, when vehicle acceleration is greater than 0.44g, is recorded as a priority and accelerates; Such as, when vehicle acceleration is greater than 0.45g, is recorded as a priority and accelerates; Such as, when vehicle acceleration is greater than 0.46g, is recorded as a priority and accelerates; Such as, when vehicle acceleration is greater than 0.47g, is recorded as a priority and accelerates; Such as, when vehicle acceleration is greater than 0.48g, is recorded as a priority and accelerates; Such as, when vehicle acceleration is greater than 0.49g, is recorded as a priority and accelerates; Such as, when vehicle acceleration is greater than 0.50g, is recorded as a priority and accelerates.
Described remote server 120 sends described anxious acceleration times to described mobile terminal 130, shows described anxious acceleration times by described mobile terminal 130.Concrete, described receiver module 131 receives described anxious acceleration times, and transmits described anxious acceleration times to described display module 132, shows described anxious acceleration times by described display module 132.
In the utility model embodiment, the described travelling data that described acquisition module 112 obtains also comprises zig zag number of times.Described zig zag is: when vehicle angular velocity is greater than preset angle speed, is recorded as and once takes a sudden turn; Or described zig zag is: when vehicle driving speed is greater than 50km/h and in one second, rotating of steering wheel angle is greater than 30 °, is recorded as and once takes a sudden turn; Or described zig zag is: when turn inside diameter angle is greater than 31 ° and Vehicle Speed is greater than S, is recorded as and once takes a sudden turn, S span is 51km/h to 60km/h or S span is 61km/h to 70km/h;
Described remote server 120 sends described zig zag number of times to described mobile terminal 130, shows described zig zag number of times by described mobile terminal 130.Concrete, described receiver module 131 receives described zig zag number of times, and transmits described zig zag number of times to described display module 132, shows described zig zag number of times by described display module 132.
In the utility model embodiment, described remote server 120 stores described travelling data with the form of bar code or Quick Response Code or numbering.Concrete, after storing the device scan bar code of described travelling data or Quick Response Code or numbering, show described travelling data.
In the utility model embodiment, described car-mounted terminal 110 also comprises alarm module as shown in Figure 4; Described alarm module 117 connects described acquisition module 112, when described driving duration exceedes preset value (as 4 hours), sends chimes of doom.
In the utility model embodiment, described acquisition module 112 obtains battery data and described battery data is transferred to described communication module 113, and described battery data comprises following at least one information: battery charging condition, cell voltage, battery current, battery temperature, battery capacity, battery loss degree;
Described communication module 113 sends described battery data to described remote server 120;
Described remote server 120, according to the default weight of often kind of information in described battery data and described battery data, draws battery status analysis result, and sends described battery status analysis result to described mobile terminal 130;
Described receiver module connects the described battery status analysis result of 131 receipts, and transmits described battery status analysis result to described display module 132, shows described battery status analysis result by described display module 132.
In the utility model embodiment, arrange numerical range to cell voltage, battery current, battery temperature in described battery data in advance, according to following table, method determines the analysis result of often kind of battery data in described battery data.
| Battery data | Analysis result |
| Cell voltage | Total score 100 points often super preset range once subtracts 20 points |
| Battery current | Total score 100 points often super preset range once subtracts 20 points |
| Battery temperature | Total score 100 points often super preset range once subtracts 20 points |
In the utility model embodiment, cell capacity analysis result total score is 100 points, if battery capacity is less than preset duration lower than setting capacity duration, then cell capacity analysis result is 100 points; If battery capacity equals preset duration lower than setting capacity duration, then cell capacity analysis result is 60 points; If battery capacity is greater than preset duration lower than setting capacity duration, then cell capacity analysis result is successively decreased lower than the increase of setting capacity duration with battery capacity on the basis of 60 points.
In the utility model embodiment, battery charging condition analysis result total score is 100 points, and battery charging and discharging is every once subtracts 20 points extremely, draws battery charging condition analysis result.Battery charging and discharging is abnormal refers to battery charging failure and/or battery discharge failure.
In the utility model embodiment, battery loss degree analyzing result total score is 100 points, if battery loss degree is less than preset duration higher than the duration of loss, then battery loss analysis result is 100 points; If battery loss degree equals preset duration higher than the duration of loss, then battery loss analysis result is 60 points; If battery loss degree is greater than preset duration higher than the duration of loss, then battery loss analysis result successively decreases higher than the duration increase of loss with battery loss degree on the basis of 60 points.
In the utility model embodiment, distribute respective weight in advance to above-mentioned often kind of battery data, all weight sums are 100%, be added by often kind of battery data, draw battery analysis result with the long-pending of corresponding weight.It should be noted that, if described acquisition module 112 does not collect a certain battery data, then giving tacit consent to this analysis result is 100 points.
In the utility model embodiment, the battery analysis result of multiple users of statistics, adjusts the weight proportion of above-mentioned often kind of battery data analysis result.
Other embodiments of the utility model can also adopt additive method to draw battery data analysis result, and the utility model embodiment does not limit.
Automobile batteries diagnostic system based on car networking of the present utility model, mobile terminal receives the remote diagnosis instruction of user's input, and sends described diagnostic instruction by remote server to car-mounted terminal; After car-mounted terminal receives diagnostic instruction, obtain battery data; Remote server, according to the default weight of often kind of data in battery data and battery data, draws vehicle trouble analysis result, and sends analysis result to mobile terminal; Mobile terminal display analysis result.Thus realize long-rangely analyzing batteries of electric automobile.
The automobile batteries diagnostic system based on car networking of the utility model embodiment, car-mounted terminal obtains travelling data and travelling data is transferred to remote server, remote server carries out analysis to travelling data and obtains driving efficiency analysis result and send driving efficiency analysis result to mobile terminal, driving efficiency analysis result is shown by mobile terminal, thus according to travelling data, driving behavior analysis is carried out to driver, draw the analysis result of driving efficiency, and by mobile terminal display driving efficiency analysis result, be convenient to driver correct driving behavior and ensure traffic safety.
Be described above each embodiment of the present utility model, above-mentioned explanation is exemplary, and non-exclusive, and be also not limited to disclosed each embodiment.When not departing from the scope and spirit of illustrated each embodiment, many modifications and changes are all apparent for those skilled in the art.The selection of term used herein, is intended to explain best the principle of each embodiment, practical application or the improvement to the technology in market, or makes other those of ordinary skill of the art can understand each embodiment disclosed herein.
Those skilled in the art, at consideration instructions and after putting into practice disclosed herein disclosing, will easily expect other embodiment of the present disclosure.The application is intended to contain any modification of the present disclosure, purposes or adaptations, and these modification, purposes or adaptations are followed general principle of the present disclosure and comprised the undocumented common practise in the art of the disclosure or conventional techniques means.
Claims (10)
1., based on an automobile batteries diagnostic system for car networking, it is characterized in that, comprise car-mounted terminal, remote server, mobile terminal;
Described mobile terminal and described car-mounted terminal are bound, and described mobile terminal comprises: sending module;
Described sending module receives the remote diagnosis instruction of user's input, and sends described diagnostic instruction by described remote server to described car-mounted terminal;
Described car-mounted terminal comprises: interface module, acquisition module, communication module;
Described interface module connects the data-interface be arranged on electric automobile;
Described acquisition module connects described interface module;
After described communication module receives described diagnostic instruction, trigger described acquisition module obtain battery data and described battery data is transferred to described communication module, described battery data comprises battery charging condition, cell voltage, battery current, battery temperature, battery capacity, battery loss;
Described communication module and described remote server communicate to connect, and send described battery data to described remote server;
Described remote server, according to the default weight of often kind of data in described battery data and described battery data, draws vehicle trouble analysis result, and sends described analysis result to described mobile terminal;
Described mobile terminal also comprises: receiver module and the display module be electrically connected with described receiver module;
Described receiver module receives described analysis result, and transmits described analysis result to described display module, shows described analysis result by described display module.
2. system according to claim 1, is characterized in that,
Described acquisition module, obtains travelling data and described travelling data is transferred to described communication module, and described travelling data comprises turning rate, acceleration brief acceleration, brake brief acceleration, ramp driving hourly velocity amplitude of variation, drives duration;
Described communication module and described remote server communicate to connect, and send described travelling data to described remote server;
Described remote server is according to described turning rate, and drawing turns drives analysis result; Described remote server, according to described acceleration brief acceleration, draws and accelerates to drive analysis result; Described remote server, according to described brake brief acceleration, show that analysis result is driven in brake; Described remote server, according to described ramp driving hourly velocity amplitude of variation, show that analysis result is driven in ramp; Described remote server, according to described driving duration, draws fatigue driving analysis result;
Described remote server drives analysis result according to described turning and analysis result is driven in described acceleration and analysis result is driven in described brake and analysis result and described fatigue driving analysis result are driven in described ramp, draw driving efficiency analysis result, and send described driving efficiency analysis result to described mobile terminal;
Described receiver module receives described driving efficiency analysis result, and transmits described analysis result to described display module, shows described driving efficiency analysis result by described display module.
3. system according to claim 2, is characterized in that, described car-mounted terminal also comprises locating module and gyro module;
Described locating module connects described acquisition module, provides vehicle position data in real time to described acquisition module;
Gyro module connects described acquisition module, provides travel direction data and Gradient in real time to described acquisition module.
4. system according to claim 2, is characterized in that, described car-mounted terminal also comprises clock module;
Described clock module connects described acquisition module, provides clock information in real time to described acquisition module;
The described travelling data that described acquisition module obtains also comprises real-time speed record;
Described remote server, according to described real-time speed record, draws max. speed;
Described remote server sends described F-Zero to described mobile terminal, shows described max. speed by described mobile terminal.
5. system according to claim 2, is characterized in that, the described travelling data that described acquisition module obtains also comprises real-time speed record and driving route;
Described remote server integrates described real-time speed and described driving route, draws driver behavior figure;
Described remote server sends described driver behavior figure to described mobile terminal, shows described driver behavior figure by described mobile terminal.
6. system according to claim 2, is characterized in that, the described travelling data that described acquisition module obtains also comprises number of times of bringing to a halt; Described bring to a halt for: when vehicle acceleration is greater than X, is recorded as and once brings to a halt, X span be-0.20g to-0.50g, g be acceleration of gravity;
To bring to a halt described in described remote server sends to described mobile terminal number of times, number of times of bringing to a halt described in described mobile terminal shows.
7. system according to claim 2, is characterized in that, the described travelling data that described acquisition module obtains also comprises anxious acceleration times; Described anxious acceleration is: when vehicle acceleration is greater than Y, and be recorded as a priority and accelerate, Y span is 0.20g to 0.50g, g is acceleration of gravity;
Described remote server sends described anxious acceleration times to described mobile terminal, shows described anxious acceleration times by described mobile terminal.
8. system according to claim 2, is characterized in that, the described travelling data that described acquisition module obtains also comprises zig zag number of times; Described zig zag is: when vehicle angular velocity is greater than preset angle speed, is recorded as and once takes a sudden turn;
Described remote server sends described zig zag number of times to described mobile terminal, shows described zig zag number of times by described mobile terminal.
9. system according to claim 2, is characterized in that, described remote server stores described travelling data with the form of bar code or Quick Response Code or numbering;
Described car-mounted terminal also comprises alarm module;
Described alarm module connects described acquisition module, when described driving duration exceedes preset value, sends chimes of doom.
10. system according to claim 1, it is characterized in that, described acquisition module obtains battery data and described battery data is transferred to described communication module, and described battery data comprises following at least one information: battery charging condition, cell voltage, battery current, battery temperature, battery capacity, battery loss degree;
Described communication module sends described battery data to described remote server;
Described remote server, according to the default weight of often kind of information in described battery data and described battery data, draws battery status analysis result, and sends described battery status analysis result to described mobile terminal;
Described receiver module receives described battery status analysis result, and transmits described battery status analysis result to described display module, shows described battery status analysis result by described display module.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104535930A (en) * | 2014-12-15 | 2015-04-22 | 北京九五智驾信息技术股份有限公司 | Vehicle battery diagnosis system based on vehicle networking |
| CN108989454A (en) * | 2018-08-10 | 2018-12-11 | 北汽福田汽车股份有限公司 | Vehicular system, vehicle, server and vehicle battery based reminding method |
| CN110174620A (en) * | 2019-04-30 | 2019-08-27 | 格林美（武汉）城市矿产循环产业园开发有限公司 | A kind of battery performance remote diagnosis system and battery performance remote diagnosis method |
| CN112419538A (en) * | 2019-08-22 | 2021-02-26 | 联合汽车电子有限公司 | Method and device for acquiring data distribution of DCDC converter |
| WO2022222782A1 (en) * | 2021-04-22 | 2022-10-27 | 深圳市道通科技股份有限公司 | Vehicle remote diagnosis system and method |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104535930A (en) * | 2014-12-15 | 2015-04-22 | 北京九五智驾信息技术股份有限公司 | Vehicle battery diagnosis system based on vehicle networking |
| CN108989454A (en) * | 2018-08-10 | 2018-12-11 | 北汽福田汽车股份有限公司 | Vehicular system, vehicle, server and vehicle battery based reminding method |
| CN110174620A (en) * | 2019-04-30 | 2019-08-27 | 格林美（武汉）城市矿产循环产业园开发有限公司 | A kind of battery performance remote diagnosis system and battery performance remote diagnosis method |
| CN112419538A (en) * | 2019-08-22 | 2021-02-26 | 联合汽车电子有限公司 | Method and device for acquiring data distribution of DCDC converter |
| WO2022222782A1 (en) * | 2021-04-22 | 2022-10-27 | 深圳市道通科技股份有限公司 | Vehicle remote diagnosis system and method |
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