CN109584537A - System of hiring a car rescue path selection method and vehicle fault detection method - Google Patents
System of hiring a car rescue path selection method and vehicle fault detection method Download PDFInfo
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Abstract
It hires a car system rescue path selection method and vehicle fault detection method the present invention relates to one kind.Rescue path selection method are as follows: obtain GIS geography information, road network information and real time traffic data；Calculate The shortest operation time of the relief car from disabled vehicle position to each maintenance center；Select the smallest maintenance center of The shortest operation time for best maintenance center, relief car hauls disabled vehicle to best maintenance center according to the corresponding path of The shortest operation time.Vehicle fault detection method includes that electric quantity consumption determines and hire a car that interval determines；If electric quantity consumption determines and hire a car that any one judgement result in the judgement of interval is vehicle failure, staff is notified to place under repair or safeguard.The present invention judges the failure of electric car by user behavior and consumption rate, avoids cumbersome sensor and decision logic, and practical degree is high, and anti-interference is good, selects optimal path to haul disabled vehicle, improves efficiency.
Description
Technical field
The present invention relates to electric cars to lease control field, hires a car system rescue path selection method more particularly, to one kind
And vehicle fault detection method.
Background technique
Currently, petroleum-based energy is constantly deficient, ecological environment constantly deteriorates, these development of automobile industry all to countries in the world
Bring many factors that can not be determined.Global Auto industry is to crack the energy, environmental constraints, realizes sustainable development, for a long time with
To try to explore and make great efforts to push the transition of transportation and energy's dynamical system always.Since especially 08 year, financial crisis, state have been faced
The concussion of a border oil price high position and increasingly serious energy-saving and emission-reduction pressure, world car industry entry comprehensive transportation and energy transition period,
Development of EV becomes the technology path for obtaining the realization transportation and energy transition of height common recognition in the world, thus the electronic vapour in the world
Vehicle industry entry new stage of accelerated development.
With the implementation for the policies such as limit purchase of restricting driving, electric car lease also becomes by the advantages such as convenient, fast, limited few
More and more selected trip modes of people.
The state of electric car directly affects the usage experience for the user that hires a car.State Intellectual Property Office of the People's Republic of China
The patent document that entitled " a kind of electric automobile whole failure sorted processing method " is disclosed on December 03rd, 2014 is (open
Number: CN104176060), classify first to the failure that pure electric automobile is likely to occur, the failure of pure electric automobile is main
Including energy-storage system failure, drive system failure and other failures, wherein other described failures include ECU failure, key inspection
Failure is surveyed, accelerator pedal signal failure, brake pedal signal failure, gear signal failure, electric fault and motor drive on battery
Dynamic failure and the decision logic for determining various failures；Then draft the Reflector and value principle of a few major class failures；Last base
The judgement and correspondingly classification processing of complete vehicle fault mark are carried out in vehicle.The definition of progress complete vehicle fault and classification, and combine event
Barrier mark, carries out failure sorted processing.The relatively complicated complexity of this scheme, and cannot be spaced by electric quantity consumption and hiring a car directly
Judge vehicle-state.In addition, renting vehicle because the reasons such as electricity exhausts, vehicle trouble or accident are cast anchor on the way, need public
System of hiring a car draws to maintenance center handled in time, needs a kind of processing method in timesaving as far as possible.
Summary of the invention
In order to solve the above-mentioned technical problem the present invention, provides a kind of public system rescue path selection method of hiring a car, root
According to road conditions, the best travel route of a relief car haul disabled vehicle is selected, convenient for being drawn disabled vehicle in time to maintenance
Center repairs and handles.
The present invention solve simultaneously scheme present in the prior art it is complicated, can not be by electric quantity consumption and interval of hiring a car to vehicle
State is judged and is hired a car the technical issues of safety and reliability is lacking, and is provided one kind and is hired a car vehicle failure
Detection method.
What the present invention was mainly addressed by following technical proposals in view of the above technical problems: rescue road of the invention
Diameter selection method includes the following steps:
1. obtaining GIS geography information, road network information and real time traffic data；
2. setting the initial value of variable i as 1；
3. calculating The shortest operation time Ti of the relief car from disabled vehicle position to i-th of maintenance center；
4. i increases 1, step is repeated 3., until traversing all maintenance centers；
5. selecting the smallest maintenance center of The shortest operation time for best maintenance center, relief car is according to The shortest operation time
Corresponding path is hauled to best maintenance center by disabled vehicle.
Preferably, the The shortest operation time Ti is determined by following formula
Vk is the passage capacity in kth section path, and ck is the traffic capacity in kth section path, vehicle when tk is kth section free pathway
By time for needing, N be the path number of segment passed through required for from failure truck position to i-th of maintenance center, and α and β are to pass through
Test parameter.
Vehicle fault detection method of hiring a car of the invention, including electric quantity consumption determine and hire a car that interval determines；If
Electric quantity consumption determine and hire a car interval determine in any one determine result be vehicle break down, then notify staff into
Row is repaired or maintenance；If electric quantity consumption determines and hires a car that interval determines that the judgement result of the two is all that vehicle is in normal shape
State does not then notify staff to place under repair or safeguard；
Electric quantity consumption decision process the following steps are included:
The power consumption Q of motor in electric automobile under B1, the quasi- operating range of minute book logo；
B2, benchmark power consumption Q is read0；
B3, this vehicle consumption rate M is calculated, calculation formula is as follows:
M=Q/Q0；
If B4, M are more than consumption rate threshold value, determining vehicle, there are failures；If M is less than or equal to consumption rate threshold value,
Then determine that vehicle is normal.
For electric car, battery status directly determines the mileage travelled of vehicle, power output performance, and electricity
Depletion rate can react the battery status of vehicle.If electric quantity consumption fast speed shows that battery performance is bad, it is likely that nothing
Method completes predetermined distance, is easier to the problem of casting anchor on the way occur, seriously affects the experience of hiring a car of user, can also give leasing company
Cause negative image.
Standard running distance determines as needed, generally may be set to 300-500 kilometers.Benchmark power consumption is steady state
Under with the new battery room temperature conditional forms gauged distance of vehicle power consumption, when factory tests to obtain.Power consumption threshold value is as needed
It determines, generally may be set to 1.2-1.35.Power consumption only calculates motor power consumption, does not calculate air-conditioning, console, long-and-short distant light etc.
The power consumption of other equipment.
Preferably, this vehicle consumption rate M is corrected in the following manner after step B3:
Vehicle driving region is plains region, and M maintains initial value；
Vehicle driving region is knob, and M reduces 10%；
Vehicle driving region is mountainous region area, and M reduces 20%.
Consumption rate also has with the landform travelled compared with Important Relations, and landform is more flat, and output is more steady, and consumption rate is lower；Ground
Shape fluctuating quantity is bigger, and output variation is bigger, then consumption rate is higher.Therefore it needs to be modified consumption rate according to landform, ground
Shape fluctuating quantity is higher, and adjusted rate is higher, i.e. the tolerance deviation range of consumption rate is bigger.
Preferably, it is described hire a car interval determine the following steps are included:
A1, user rent electric car for the first time, record time of chartering for the first time；
A2, user give back electric car, and record is returned the car the time；
A3, the time interval for calculating time of chartering and time of returning the car for the first time, are denoted as the first interval T1；
A4, the secondary rental electric car of user, record secondary time of chartering；
A5, the time interval for calculating return the car time and secondary time of chartering, are denoted as the second interval T2；
A6, failure degree K, calculation formula are calculated are as follows:
K=a × T1+b × T2
A is the first interval weighted value, and b is the second interval weighted value；
If A7, failure degree K are less than or equal to failure degree threshold value, determine that vehicle breaks down；If failure degree is greater than
Or be equal to failure degree threshold value, then determine that vehicle is in normal condition；
Wherein, a and b's and be 1,0.3≤a≤0.6,0.4≤b≤0.7；Failure degree threshold value is -35 minutes 20 minutes.
The hire a car specific gravity at interval of changing trains is hired a car duration slightly larger than front truck, therefore the value of usually b is slightly larger than the value of a.If
User completes three steps of hiring a car-change trains-hire a car again in 30 minutes or so times, then can determine that front truck exists centainly substantially
Problem is unsuitable for driving.
User returns the car if very short time after hiring a car and replaces vehicle leasing, and it is uncomfortable to show that front truck exists
In drive the problem of.Foundation more can accurately sentence the interval time that the lease duration and front truck of front truck are returned the car to rear car lease
Disconnected vehicle-state.It extremely short hire a car duration if only relied on and judges possibility to judge or only rely on extremely short change trains interval of hiring a car
Biggish error can be brought, and this programme can effectively improve the accuracy of judging result based on two time intervals.
Bring substantial effect of the present invention is that public system rescue path selection method of hiring a car is according to road conditions, choosing
Select out the best travel route of relief car haul disabled vehicle, convenient for disabled vehicle is drawn in time to maintenance center repair with
Processing；The failure that electric car is judged by user behavior and consumption rate avoids cumbersome sensor and decision logic, real
Expenditure is high, and anti-interference is good.
Specific embodiment
Below by embodiment, the technical solutions of the present invention will be further described.
Embodiment: hire a car the system rescue path selection method and vehicle fault detection method of the present embodiment, system of hiring a car
Rescue path selection method, includes the following steps:
1. obtaining GIS geography information, road network information and real time traffic data；
2. setting the initial value of variable i as 1；
3. The shortest operation time Ti of the relief car from disabled vehicle position to i-th of maintenance center is calculated,
The shortest operation time Ti is determined by following formula
Vk is the passage capacity in kth section path, and ck is the traffic capacity in kth section path, vehicle when tk is kth section free pathway
By time for needing, N be the path number of segment passed through required for from failure truck position to i-th of maintenance center, and α and β are to pass through
Test parameter；
4. i increases 1, step is repeated 3., until traversing all maintenance centers；
5. selecting the smallest maintenance center of The shortest operation time for best maintenance center, relief car is according to The shortest operation time
Corresponding path is hauled to best maintenance center by disabled vehicle.
Vehicle fault detection method includes that electric quantity consumption determines and hire a car that interval determines；If electric quantity consumption determines and hires a car
Any one in the judgement of interval determines that result is vehicle failure, then staff is notified to place under repair or safeguard；If
Electric quantity consumption determines and hires a car that interval determines that the judgement result of the two is all that vehicle is in normal condition, then does not notify staff
It places under repair or safeguards.
Hire a car interval determine the following steps are included:
A1, user rent electric car for the first time, record time of chartering for the first time；
A2, user give back electric car, and record is returned the car the time；
A3, the time interval for calculating time of chartering and time of returning the car for the first time, are denoted as the first interval T1；
A4, the secondary rental electric car of user, record secondary time of chartering；
A5, the time interval for calculating return the car time and secondary time of chartering, are denoted as the second interval T2；
A6, failure degree K, calculation formula are calculated are as follows:
K=a × T1+b × T2
A is the first interval weighted value, and b is the second interval weighted value；
If A7, failure degree K are less than or equal to failure degree threshold value, determine that vehicle breaks down；If failure degree is greater than
Or be equal to failure degree threshold value, then determine that vehicle is in normal condition；
Wherein, a and b's and be 1,0.3≤a≤0.6,0.4≤b≤0.7；Failure degree threshold value is -35 minutes 20 minutes.
The hire a car specific gravity at interval of changing trains is hired a car duration slightly larger than front truck, therefore the value of usually b is slightly larger than the value of a.If
User completes three steps of hiring a car-change trains-hire a car again in 30 minutes or so times, then can determine that front truck exists centainly substantially
Problem is unsuitable for driving.
User returns the car if very short time after hiring a car and replaces vehicle leasing, and it is uncomfortable to show that front truck exists
In drive the problem of.Foundation more can accurately sentence the interval time that the lease duration and front truck of front truck are returned the car to rear car lease
Disconnected vehicle-state.It extremely short hire a car duration if only relied on and judges possibility to judge or only rely on extremely short change trains interval of hiring a car
Biggish error can be brought, and this programme can effectively improve the accuracy of judging result based on two time intervals.
Electric quantity consumption decision process the following steps are included:
The power consumption Q of motor in electric automobile under B1, the quasi- operating range of minute book logo；
B2, benchmark power consumption Q is read0；
B3, this vehicle consumption rate M is calculated, calculation formula is as follows:
M=Q/Q0；
If B4, M are more than consumption rate threshold value, determining vehicle, there are failures；If M is less than or equal to consumption rate threshold value,
Then determine that vehicle is normal.
For electric car, battery status directly determines the mileage travelled of vehicle, power output performance, and electricity
Depletion rate can react the battery status of vehicle.If electric quantity consumption fast speed shows that battery performance is bad, it is likely that nothing
Method completes predetermined distance, is easier to the problem of casting anchor on the way occur, seriously affects the experience of hiring a car of user, can also give leasing company
Cause negative image.
After step B3, consumption rate M is corrected by service life adjusted rate R, correction formula are as follows:
M1=M × R
M1 is by the revised consumption rate of service life adjusted rate；Service life, adjusted rate R was determined by following formula:
R=-0.5 × p2+1
P=t/t0
T is the currently used duration of battery, t0For the rated life time of battery.
And battery performance itself is to reduce with the increase for using duration, if reduced in the normal range,
It proves that its is without failure, if reducing rate is more than normal range (NR), proves that battery breaks down, need to repair or more
It changes.When original state, battery adjusted rate is 1；As battery continues on, adjusted rate reduces, and amendment amplitude increases, to consumption rate
Tolerance improve.
Consumption rate also passes through temperature adjustmemt rate F amendment, correction formula are as follows:
M2=M1/F
M2 is by the revised consumption rate of temperature adjustmemt rate；Temperature adjustmemt rate F is determined by following formula:
F=-0.000375 × H2F≤20 degree Celsius+0.02 × H+0.75
H is average ambient temperature of this vehicle during travelling gauged distance.
Temperature directly affects battery performance, and when temperature is lower than 20 degrees Celsius, battery performance decline is more obvious, i.e. electric discharge effect
Rate reduces, and consumption rate improves, and temperature more low power consumption rate is higher, and it is inclined come the tolerance for increasing consumption rate to need to improve amendment amplitude at this time
Poor range avoids judging by accident.
Vehicle driving region is plains region, and consumption rate maintains initial value；
Vehicle driving region is knob, and consumption rate reduces 10%；
Vehicle driving region is mountainous region area, and consumption rate reduces 20%.
Consumption rate also has with the landform travelled compared with Important Relations, and landform is more flat, and output is more steady, and consumption rate is lower；Ground
Shape fluctuating quantity is bigger, and output variation is bigger, then consumption rate is higher.Therefore it needs to be modified consumption rate according to landform, ground
Shape fluctuating quantity is higher, and adjusted rate is higher, i.e. the tolerance deviation range of consumption rate is bigger.
The present embodiment may be incorporated into charge rate and assist discharge rate to show vehicle-state, and the calculating of charge and discharge rate N is public
Formula is as follows:
N=c × M3+d × S/S0
In formula, M3 is the consumption rate after three service life adjusted rate, temperature adjustmemt rate and landform factor corrections, and c is consumption
Electric weighted value, d are charging weighted value, and S is nearest ten charge rates, S0For original charge rate.
If N is more than charge and discharge rate threshold value, determining vehicle, there are failures；If N is less than or equal to charge and discharge rate threshold value,
Then determine that vehicle is normal.
If Vehicular charging rate is too fast, showing battery capacity, there are problems, belong to abnormality.Pass through charging speed
Rate and discharge rate combine, and can whether there is failure with accurate judgement vehicle.
C and d's and be 1,0.5≤c≤0.8,0.2≤d≤0.5.
Since the motor on automobile is to be fixedly connected, and motor performance can be from the experience of driver with the connection of battery
In directly reflect, the probability for measurement error occur is smaller, and the connection of battery and charging pile be detachable connection, occur
The probability of measurement error is bigger, therefore power consumption weighted value is greater than or equal to charging weighted value.
Public system of hiring a car of the invention, by public system rescue path selection method of hiring a car, according to road conditions, choosing
Select out the best travel route of relief car haul disabled vehicle, convenient for disabled vehicle is drawn in time to maintenance center repair with
Processing.By vehicle fault detection method, the failure of electric car can be judged by user behavior and consumption rate, is avoided
Cumbersome sensor and decision logic, practical degree is high, and anti-interference is good.
Specific embodiment described herein is only an example for the spirit of the invention.The neck of technology belonging to the present invention
The technical staff in domain can make various modifications or additions to the described embodiments or replace by a similar method
In generation, however, it does not deviate from the spirit of the invention or beyond the scope of the appended claims.
Although be used more herein hire a car for the first time, power consumption, the terms such as rated life time, be not precluded using other
A possibility that term.The use of these items is only for be more convenient to describe and explain essence of the invention；They are explained
It at any additional limitation is disagreed with spirit of that invention.
Claims (5)
- System rescue path selection method and vehicle fault detection method 1. one kind is hired a car, it is characterised in that rescue path selecting party Method includes the following steps:1. obtaining GIS geography information, road network information and real time traffic data；2. setting the initial value of variable i as 1；3. calculating The shortest operation time Ti of the relief car from disabled vehicle position to i-th of maintenance center；4. i increases 1, step is repeated 3., until traversing all maintenance centers；5. selecting the smallest maintenance center of The shortest operation time for best maintenance center, relief car is corresponding according to The shortest operation time Path disabled vehicle is hauled to best maintenance center.
- System rescue path selection method is hired a car and vehicle fault detection method, feature exist 2. according to claim 1 In the The shortest operation time Ti is determined by following formulaVk is the passage capacity in kth section path, and ck is the traffic capacity in kth section path, and vehicle is logical when tk is kth section free pathway The time needed is spent, N is that the path number of segment passed through required for from failure truck position to i-th of maintenance center, α and β join for experience Number.
- System rescue path selection method is hired a car and vehicle fault detection method, feature exist 3. according to claim 1 In vehicle fault detection method includes that electric quantity consumption determines and hire a car that interval determines；If electric quantity consumption determines and interval of hiring a car Any one in judgement determines that result for vehicle failure, then notifies staff to place under repair or safeguard；If electricity Consumption determines and hires a car that interval determines that the judgement result of the two is all that vehicle is in normal condition, then does not notify staff to carry out It repairs or safeguards；Electric quantity consumption decision process the following steps are included:The power consumption Q of motor in electric automobile under B1, the quasi- operating range of minute book logo；B2, benchmark power consumption Q is read0；B3, this vehicle consumption rate M is calculated, calculation formula is as follows:M=Q/Q0；If B4, M are more than consumption rate threshold value, determining vehicle, there are failures；If M is less than or equal to consumption rate threshold value, sentence It is normal to determine vehicle.
- System rescue path selection method is hired a car and vehicle fault detection method, feature exist 4. according to claim 3 In after step B3, this vehicle consumption rate M is corrected in the following manner:Vehicle driving region is plains region, and M maintains initial value；Vehicle driving region is knob, and M reduces 10%；Vehicle driving region is mountainous region area, and M reduces 20%.
- System rescue path selection method is hired a car and vehicle fault detection method, feature exist 5. according to claim 3 In, hire a car interval determine the following steps are included:A1, user rent electric car for the first time, record time of chartering for the first time；A2, user give back electric car, and record is returned the car the time；A3, the time interval for calculating time of chartering and time of returning the car for the first time, are denoted as the first interval T1；A4, the secondary rental electric car of user, record secondary time of chartering；A5, the time interval for calculating return the car time and secondary time of chartering, are denoted as the second interval T2；A6, failure degree K, calculation formula are calculated are as follows:K=a × T1+b × T2A is the first interval weighted value, and b is the second interval weighted value；If A7, failure degree K are less than or equal to failure degree threshold value, determine that vehicle breaks down；If failure degree is greater than or waits In failure degree threshold value, then determine that vehicle is in normal condition；Wherein, a and b's and be 1,0.3≤a≤0.6,0.4≤b≤0.7；Failure degree threshold value is -35 minutes 20 minutes.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101520883A (en) * | 2008-02-29 | 2009-09-02 | 鸿富锦精密工业（深圳）有限公司 | Vehicle maintenance system and method |
| CN201359734Y (en) * | 2008-12-25 | 2009-12-09 | 万向电动汽车有限公司 | Remote vehicle operation condition monitoring system |
| CN102230954A (en) * | 2011-06-22 | 2011-11-02 | 奇瑞汽车股份有限公司 | Apparatus and method for diagnosing lithium ion power cell bag fault |
| CN102509447A (en) * | 2011-10-20 | 2012-06-20 | 浙江工商大学 | Fuzzy recognition method of city public bicycle fault |
| CN103632513A (en) * | 2013-11-21 | 2014-03-12 | 深圳市卡讯尔车联网科技开发有限公司 | Vehicle emergency rescue interactive method and system on basis of cloud server |
| CN105160424A (en) * | 2015-08-13 | 2015-12-16 | 国网电力科学研究院武汉南瑞有限责任公司 | Emergency relief car scheduling method based on linear programming |
| CN106022512A (en) * | 2016-05-12 | 2016-10-12 | 国网电力科学研究院武汉南瑞有限责任公司 | Emergency rescue vehicle optimal-path-based rescue method for electric vehicles |
-
2017
- 2017-10-18 CN CN201710973858.XA patent/CN109584537A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101520883A (en) * | 2008-02-29 | 2009-09-02 | 鸿富锦精密工业（深圳）有限公司 | Vehicle maintenance system and method |
| CN201359734Y (en) * | 2008-12-25 | 2009-12-09 | 万向电动汽车有限公司 | Remote vehicle operation condition monitoring system |
| CN102230954A (en) * | 2011-06-22 | 2011-11-02 | 奇瑞汽车股份有限公司 | Apparatus and method for diagnosing lithium ion power cell bag fault |
| CN102509447A (en) * | 2011-10-20 | 2012-06-20 | 浙江工商大学 | Fuzzy recognition method of city public bicycle fault |
| CN103632513A (en) * | 2013-11-21 | 2014-03-12 | 深圳市卡讯尔车联网科技开发有限公司 | Vehicle emergency rescue interactive method and system on basis of cloud server |
| CN105160424A (en) * | 2015-08-13 | 2015-12-16 | 国网电力科学研究院武汉南瑞有限责任公司 | Emergency relief car scheduling method based on linear programming |
| CN106022512A (en) * | 2016-05-12 | 2016-10-12 | 国网电力科学研究院武汉南瑞有限责任公司 | Emergency rescue vehicle optimal-path-based rescue method for electric vehicles |
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