CN109767520A - A kind of vehicle load processing method and processing device - Google Patents
A kind of vehicle load processing method and processing device Download PDFInfo
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- CN109767520A CN109767520A CN201910029743.4A CN201910029743A CN109767520A CN 109767520 A CN109767520 A CN 109767520A CN 201910029743 A CN201910029743 A CN 201910029743A CN 109767520 A CN109767520 A CN 109767520A
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Abstract
The present invention provides a kind of vehicle load processing method and processing device, is related to electric vehicle technical field.The vehicle load processing method includes: the vehicle status parameters obtained in prefixed time interval；Vehicle status parameters are pre-processed, first effective vehicle status parameters are obtained；Each acceleration value of vehicle within a preset time interval is obtained according to described first effective vehicle status parameters；According to each acceleration value of vehicle within a preset time interval, first effective vehicle status parameters corresponding to each acceleration value are modified, and obtain second effective vehicle status parameters；According to the state parameter and preset first training pattern, the first vehicle load discreet value is obtained；The final data regression that carries out obtains the true load-carrying of vehicle.It can be with the load-carrying of real-time measurement vehicle using this method.
Description
Technical field
The present invention relates to electric vehicle technical fields, in particular to a kind of vehicle load processing method and processing device.
Background technique
As Modern Traffic transport service achieves fast development, vehicle constantly enters city under the encouragement of national policy
City dispense chain, at the same time, traffic checking, transfinite improvement and vehicle service condition assessment also deepen continuously, this makes vehicle
Load-carrying measuring system is more and more widely used.
In the prior art, measurement load-carrying is that the region for being specially provided with vehicle load measuring system is reached by vehicle, is led to
It crosses after the sensor measurement to load signal in the region through data processing, obtains the loading capacity of vehicle, then by the loading capacity of vehicle
It is transferred to driver's cabin, realizes the purpose of measurement vehicle load.
But using the prior art, it is unable to satisfy the demand of the load-carrying of real-time measurement vehicle.
Summary of the invention
It is an object of the present invention in view of the deficiency of the prior art, provide a kind of vehicle load processing method and
Device, this method can be with the load-carryings of real-time measurement vehicle.
To achieve the above object, technical solution used in the embodiment of the present invention is as follows:
In a first aspect, the embodiment of the invention provides a kind of vehicle load processing methods, comprising:
Obtain the vehicle status parameters in prefixed time interval；
The vehicle status parameters are pre-processed, first effective vehicle status parameters are obtained；
Each acceleration of the vehicle in the prefixed time interval is obtained according to described first effective vehicle status parameters
Angle value；
According to each acceleration value of the vehicle in the prefixed time interval, corresponding to each acceleration value
One effective vehicle status parameters are modified, and obtain second effective vehicle status parameters；
According to described second effective vehicle status parameters and preset first training pattern, obtains the first vehicle load and estimate
Value；
Confirm whether the first vehicle load discreet value meets preset condition；
If meeting preset condition, data regression is carried out according to the first vehicle load discreet value and obtains the vehicle
True load-carrying.
It is described that the vehicle status parameters are pre-processed in a kind of embodiment, obtain first effective vehicle-state
The step of parameter, comprising:
The missing data in the vehicle status parameters is deleted, the abnormal data in the vehicle status parameters is filtered out,
The abnormal data is replaced with the average value of two adjacent datas of the abnormal data, obtains described first effective vehicle-state
Parameter.
In a kind of embodiment, the vehicle status parameters include vehicle wheel rotational speed, vehicle drive system efficiency, tire half
Diameter, motor input voltage and motor input current.
It is described according to described second effective vehicle status parameters and preset first training pattern in a kind of embodiment,
The step of obtaining the first vehicle load discreet value, comprising:
It is obtained according to motor input voltage, motor input current, vehicle wheel rotational speed, tire radius and transmission system efficiency
The driving force of wheel output；
It is equal with the driving force that the driving force of wheel input and wheel need respectively according to the driving force of wheel output,
Obtain the first vehicle load discreet value gross vehicle load.
In a kind of embodiment, whether confirmation the first vehicle load discreet value meets preset condition, comprising:
Obtain the quantity of the first vehicle load discreet value；
Confirm whether the quantity of the first vehicle load discreet value meets predetermined upper threshold value；
Correspondingly, carrying out data regression point according to the first vehicle load discreet value if reaching predetermined upper threshold value
Analysis obtains the true load-carrying of first vehicle.
In a kind of embodiment, whether the quantity of confirmation the first vehicle load discreet value meets preset upper limit threshold
After the step of value, further includes:
If not reaching the predetermined upper threshold value, continue obtain the quantity for reaching predetermined upper threshold value described the
One vehicle load discreet value.
In a kind of embodiment, preset first training pattern includes back-propagation algorithm training BP, reversed nerve
Any one in Internet communication LM-BP, radial basis function neural network RBF training pattern.
In a kind of embodiment, after the step of obtaining the true load-carrying of the vehicle, the method also includes:
The true load-carrying of the vehicle is sent to the display equipment or car-mounted terminal of vehicle by data/address bus.
Second aspect, the embodiment of the invention also provides a kind of vehicle load processing units, comprising:
Module is obtained, for obtaining the vehicle status parameters in prefixed time interval；
Preprocessing module obtains first effective vehicle status parameters for pre-processing to the vehicle status parameters；
Computing module, for obtaining the vehicle between the preset time according to described first effective vehicle status parameters
Every interior each acceleration value；
Correction module respectively adds for each acceleration value according to the vehicle in the prefixed time interval to described
The corresponding first effective vehicle status parameters of velocity amplitude are modified, and obtain second effective vehicle status parameters；
Training pattern module, for obtaining according to described second effective vehicle status parameters and preset first training pattern
To the first vehicle load discreet value；
Confirmation module, for confirming whether the first vehicle load discreet value meets preset condition；
Analysis module, if carrying out data regression according to the first vehicle load discreet value for meeting preset condition
Analysis obtains the true load-carrying of the vehicle.
The third aspect, the embodiment of the invention also provides a kind of electronic equipment, comprising: processor, storage medium and bus,
The storage medium is stored with the executable machine readable instructions of the processor, when electronic equipment operation, the processor
By bus communication between the storage medium, the processor executes the machine readable instructions, executes such as when executing
Described in first aspect the step of vehicle load processing method.
The beneficial effects of the present invention are:
A kind of vehicle load processing method and processing device provided in an embodiment of the present invention, by obtaining in prefixed time interval
Vehicle status parameters obtain each acceleration value of vehicle within a preset time interval, and corresponding to vehicle according to each acceleration value
State parameter be modified to obtain second effective vehicle status parameters, according to second effective vehicle status parameters and preset
One training pattern obtains the first vehicle load discreet value, if the first vehicle load discreet value meets preset condition, available
One true load-carrying, this method can be with the load-carryings of real-time measurement vehicle.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below will be to needed in the embodiment attached
Figure is briefly described, it should be understood that the following drawings illustrates only certain embodiments of the present invention, therefore is not construed as pair
The restriction of range for those of ordinary skill in the art without creative efforts, can also be according to this
A little attached drawings obtain other relevant attached drawings.
Fig. 1 is vehicle load process method step schematic diagram provided in an embodiment of the present invention；
Fig. 2 is the step schematic diagram of the first vehicle load discreet value provided in an embodiment of the present invention；
Fig. 3 is preset condition judgment step schematic diagram provided in an embodiment of the present invention；
Fig. 4 is vehicle load processing unit module diagram provided in an embodiment of the present invention；
Fig. 5 is electronic devices structure schematic diagram provided in an embodiment of the present invention.
Icon: 101- obtains module；102- preprocessing module；103- computing module；104- correction module；105- trains mould
Pattern block；106- confirmation module；107- analysis module；201- processor；202- storage medium；203- bus.
Specific embodiment
It, below will be to needed in the embodiment attached in order to illustrate more clearly of the technical solution of the embodiment of the present disclosure
Figure is briefly described, it should be understood that the following drawings illustrates only some embodiments of the disclosure, therefore is not construed as pair
The restriction of range for those of ordinary skill in the art without creative efforts, can also be according to this
A little attached drawings obtain other relevant attached drawings.
First embodiment
Fig. 1 is vehicle load process method step schematic diagram provided in an embodiment of the present invention, please refers to Fig. 1, and the present invention is real
It applies example and a kind of vehicle load processing method is provided, be applied to New energy electric vehicle, which includes:
Vehicle status parameters in S101, acquisition prefixed time interval.
Specifically, prefixed time interval can be interval half an hour, 20 minutes, 10 minutes, 5 minutes or 1 minute, this reality
Example is applied in order to keep the vehicle status parameters obtained more accurate, prefixed time interval passes through vehicle by taking 1 minute time interval as an example
Controller local area network's (Controller Area Network, CAN) bus obtain preset travel mileage corresponding vehicle
State parameter, wherein vehicle status parameters include car speed and vehicle wheel rotational speed.
It should be noted that needing to be powered to the vehicle, so that at the load-carrying of vehicle before obtaining vehicle status parameters
Manage unit initialization, self-test.
S102, vehicle status parameters are pre-processed, obtains first effective vehicle status parameters.
Specifically, the vehicle status parameters to acquisition pre-process, pretreatment is to delete ineligible vehicle-state
Parameter obtains qualified first effective vehicle status parameters, which includes effective vehicle
Speed and effective vehicle wheel rotational speed.For example, in first effective vehicle status parameters continuous car speed be 10m/s, 12m/s,
100m/s, 15m/s, 18m/s, 18m/s, 20m/s judge car speed between continuous time according to car speed reasonability
Every speed cannot significantly exceed normal range (NR) value, therefore with significantly exceed normal range (NR) value two consecutive numbers
According to average value replace this and significantly exceed the value of normal range (NR), i.e., replace 100m/s with (12+15)/2=13.5m/s, obtain
Effective car speed is 10m/s, 12m/s, 13.5m/s, 15m/s, 18m/s, 18m/s, 20m/s.
It should be noted that above-mentioned car speed is intended merely to illustrate, in specific operation process, the car speed that measures
It may not all be integer, in order to enable car speed is more acurrate, 2 significant digits can be retained.
S103, each acceleration value of vehicle within a preset time interval is obtained according to first effective vehicle status parameters.
Specifically, the effective car speed, effective vehicle wheel rotational speed and the prefixed time interval that are obtained according to S102 step,
Obtain the acceleration of each prefixed time interval.
For example, obtaining the value of an acceleration according to effective car speed, effective vehicle wheel rotational speed and prefixed time interval
It is 10m/s respectively2、10m/s2、11m/s2、10m/s2、···、10m/s2。
S104, each acceleration value according to vehicle within a preset time interval, corresponding to each acceleration value first effectively
Vehicle status parameters are modified, and obtain second effective vehicle status parameters.
Specifically, second effective vehicle status parameters include that the second effective car speed and the second effective wheel turn
Speed.
Further, vehicle can more accurately calculate the loading capacity of vehicle during smooth-ride, according to
Each acceleration value of vehicle within a preset time interval, selects the acceleration that data are different with the data of other acceleration in acceleration
It spends, the effective car speed, effective vehicle wheel rotational speed in first effective vehicle status parameters corresponding to the acceleration carry out
Amendment, finally make the second effective car speed after the amendment, the corresponding acceleration of the second effective vehicle wheel rotational speed value and
Other acceleration values are equal.For example, the value that acceleration is calculated is 10m/s respectively in S103 step2、10m/s2、11m/s2、
10m/s2、···、10m/s2, it is 11m/s to acceleration value2Corresponding effective car speed and effective wheel velocity into
Row amendment, the acceleration for obtaining revised second effective car speed and second effective wheel velocity are 10m/
s2。
S105, according to second effective vehicle status parameters and preset first training pattern, obtain the first vehicle vehicle load
Discreet value.
Specifically, the second effective vehicle status parameters obtained according to S104, wherein second effective vehicle status parameters packet
Include second effective car speed, second effective wheel velocity, rotational inertia of transmission system, radius of wheel, motor input voltage, electricity
Machine input current, tire radius, according to second effective car speed, second effective wheel velocity, rotational inertia of transmission system, vehicle
Wheel radius, motor input voltage, motor input current, tire radius and preset first training pattern obtain the first vehicle load
Discreet value.
Whether S106, the first vehicle load discreet value of confirmation meet preset condition.
Specifically, whether the corresponding mileage travelled of data volume of the first vehicle load discreet value of confirmation meets default mileage,
For example default mileage is 3km, the corresponding mileage of data volume of the first vehicle load discreet value is greater than or equal to 3km, then the first vehicle
The corresponding distance of data volume of load-carrying discreet value meets default mileage, in the data volume of the first vehicle load discreet value is corresponding
Journey is less than 3km, then the corresponding distance of data volume of the first vehicle load discreet value does not meet default mileage.
If S107, meeting preset condition, data regression is carried out according to the first vehicle load discreet value and obtains first
The true load-carrying of vehicle.
Specifically, being analyzed to obtain the first vehicle according to the first vehicle load discreet value if meeting preset condition
True load-carrying.
A kind of vehicle load processing method provided in this embodiment is joined by the vehicle-state obtained in prefixed time interval
Number, obtains each acceleration value of vehicle within a preset time interval, and according to each acceleration value to the corresponding state parameter of vehicle
It is modified to obtain second effective vehicle status parameters, according to second effective vehicle status parameters and preset first training pattern
Obtain the first vehicle load discreet value, if the first vehicle load discreet value meets preset condition, available first vehicle it is true
Real load-carrying, this method carries out data regression by second effective vehicle status parameters and preset first training pattern can be with
The load-carrying of real-time measurement vehicle.
In a kind of embodiment, vehicle status parameters are pre-processed, the step of first effective vehicle status parameters is obtained
Suddenly, comprising:
The missing data in vehicle status parameters is deleted, filters out the abnormal data in the vehicle status parameters, use is different
The average value of two adjacent datas of regular data replaces the abnormal data, obtains described first effective vehicle status parameters.
Specifically, there is missing data and exception in vehicle status parameters according to vehicle status parameters rational requirement
Data are unreasonable, therefore delete the missing data in vehicle status parameters, are used to the processing method of abnormal data abnormal
The average value of two adjacent datas of data replaces the abnormal data, obtains described first effective vehicle status parameters.
For example, car speed parameter is 10m/s, 12m/s, 0m/s, 15m/s, 18m/s, 18m/s, 20m/s, then deleting
0m/s in car speed parameter obtains first effective car speed 10m/s, 12m/s, 15m/s, 18m/s, 18m/s, 20m/s.
In a kind of embodiment, vehicle status parameters include vehicle wheel rotational speed, vehicle drive system efficiency, tire radius, electricity
Machine input voltage and motor input current.
Specifically, obtaining vehicle wheel rotational speed, vehicle by controller local area network (Controller Area Network, CAN)
The vehicle status parameters such as transmission system efficiency, tire radius, motor input voltage and motor input current obtain above-mentioned parameter
It is according to the parameter obtained in preset mileage number in the mileage.
It should be noted that CAN is a kind of serial communication network for effectively supporting distributed AC servo system or real-time control, also
Need to obtain rotational inertia of transmission system, radius of wheel, rotational inertia of transmission system equivalent coefficient, coefficient of rolling resistance, air
The parameters such as resistance coefficient, vehicle front face area, atmospheric density and car speed.
In a kind of embodiment, Fig. 2 is the step schematic diagram of the first vehicle load discreet value provided in an embodiment of the present invention,
Referring to figure 2., according to second effective vehicle status parameters and preset first training pattern, the first vehicle load discreet value is obtained
The step of, comprising:
S201, according to motor input voltage, motor input current, vehicle wheel rotational speed, tire radius and transmission system efficiency
Obtain the driving force of wheel output.
Specifically, motor input voltage is U, motor input current I, vehicle wheel rotational speed n, tire radius are R and transmission
System effectiveness is η, according to formulaObtain and wheel output driving force F1。
S202, the driving force phase needed respectively with the driving force of wheel input and wheel according to the driving force of wheel output
Deng obtaining the first vehicle load discreet value gross vehicle load.
Specifically, according to formula Wherein, FaDriving force, Θ needed for indicating wheeliIndicate transmission system rotation
Inertia, rdIndicate radius of wheel, F2Indicate driving force, the δ of wheel inputiIndicate rotational inertia of transmission system equivalent coefficient, fRTable
Show coefficient of rolling resistance, CDIndicate that coefficient of air resistance, A indicate vehicle front face area, ρaIndicate atmospheric density, u indicates vehicle speed
Degree, and according to Fa=F1=F2, obtain the first vehicle load discreet value gross vehicle load mv+mC。
In a kind of embodiment, Fig. 3 is preset condition judgment step schematic diagram provided in an embodiment of the present invention, please refers to figure
3, whether confirmation the first vehicle load discreet value meets preset condition, comprising:
S301, the quantity for obtaining the first vehicle load discreet value.
Specifically, the first vehicle load discreet value according to obtained in S202, and obtain the first vehicle load discreet value
Quantity obtains the corresponding relationship of the first vehicle load discreet value and mileage travelled, for example, it is pre- to calculate 10 the first vehicle loads
Valuation.
S302, confirm whether the quantity of the first vehicle load discreet value meets predetermined upper threshold value.
Specifically, by the first vehicle to reach the mileage travelled of setting by big data platform trained for predetermined upper threshold value
The corresponding relationship of mileage and vehicle load data out, for example, estimating the precision of cargo load-carrying after total mileage travelled is 3km
The requirement of monitoring measurement can be reached.
S303, correspondingly, if reaching predetermined upper threshold value, data regression point is carried out according to the first vehicle load discreet value
Analysis obtains the true load-carrying of the first vehicle.
It is preset specifically, having been reached according to the quantity of the first vehicle load discreet value of S302 and corresponding mileage travelled
Threshold value is limited, then the first vehicle load discreet value is analyzed to obtain the true load-carrying of the first vehicle.
In a kind of embodiment, the step of whether quantity of the first vehicle load discreet value of confirmation meets predetermined upper threshold value
Later, further includes:
If not reaching predetermined upper threshold value, the first vehicle for continuing to obtain the quantity for reaching predetermined upper threshold value is carried
Discreet value again.
Specifically, the quantity of the first vehicle load discreet value does not reach predetermined upper threshold value, then when continuing to obtain default
Between interval in vehicle status parameters, by vehicle status parameters calculate the first vehicle load discreet value, until the first vehicle carry
Whether discreet value meets predetermined upper threshold value again.
In a kind of embodiment, preset first training pattern includes back-propagation algorithm training BP, reverse neural network
Propagate LM-BP, any one in radial basis function neural network RBF training pattern.
Specifically, preset first training pattern include back-propagation algorithm training (Back Propagation, BP), it is anti-
To neural Internet communication (Levenberg-marquardt back propagation, LM-BP), radial basis function neural network
A variety of model training modes such as (Radical Basis Function, RBF), are not limited to above-mentioned model training mode.
In a kind of embodiment, the true load-carrying for obtaining vehicle the step of after, this method further include:
The true load-carrying of vehicle is sent to the display equipment or car-mounted terminal of vehicle by data/address bus.
Specifically, the true load-carrying of vehicle to be sent to the display equipment or car-mounted terminal of vehicle, the step by CAN
The true load-carrying that family passes through display equipment in real time or car-mounted terminal observes vehicle in real time can be used.
Second embodiment
Fig. 4 is vehicle load processing unit module diagram provided in an embodiment of the present invention, and referring to figure 4., the present invention is real
It applies example and additionally provides a kind of vehicle load processing unit, comprising:
Module 101 is obtained, for obtaining the vehicle status parameters in prefixed time interval；
Preprocessing module 102 obtains first effective vehicle-state ginseng for pre-processing to the vehicle status parameters
Number；
Computing module 103, for obtaining the vehicle when described default according to described first effective vehicle status parameters
Between interval in each acceleration value；
Correction module 104, for each acceleration value according to the vehicle in the prefixed time interval, to described each
The corresponding first effective vehicle status parameters of acceleration value are modified, and obtain second effective vehicle status parameters；
Training pattern module 105 is used for according to described second effective vehicle status parameters and preset first training pattern,
Obtain the first vehicle load discreet value；
Confirmation module 106, for confirming whether the first vehicle load discreet value meets preset condition；
Analysis module 107, if carrying out data for meeting preset condition according to the first vehicle load discreet value and returning
Analysis is returned to obtain the true load-carrying of the vehicle.
The method that above-mentioned apparatus is used to execute previous embodiment offer, it is similar that the realization principle and technical effect are similar, herein not
It repeats again.
3rd embodiment
Fig. 5 is electronic devices structure schematic diagram provided in an embodiment of the present invention, and referring to figure 5., the embodiment of the present invention also mentions
A kind of electronic equipment is supplied, comprising: processor 201, storage medium 202 and bus 203, the storage medium 202 are stored with place
Manage the executable machine readable instructions of device 201, when electronic equipment operation, the processor 201 and the storage medium 202 it
Between communicated by bus 203, the processor 201 executes the machine readable instructions, and such as first embodiment is executed when executing
Vehicle load processing method the step of.
In several embodiments provided by the present invention, it should be understood that disclosed device and method can pass through it
Its mode is realized.For example, the apparatus embodiments described above are merely exemplary, for example, the division of the unit, only
Only a kind of logical function partition, there may be another division manner in actual implementation, such as multiple units or components can be tied
Another device or system is closed or is desirably integrated into, or some features can be ignored or not executed.Another point, it is shown or
The mutual coupling, direct-coupling or communication connection discussed can be through some interfaces, the indirect coupling of device or unit
It closes or communicates to connect, can be electrical property, mechanical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also realize in the form of hardware adds SFU software functional unit.
The above-mentioned integrated unit being realized in the form of SFU software functional unit can store and computer-readable deposit at one
In storage media.Above-mentioned SFU software functional unit is stored in a storage medium, including some instructions are used so that a computer
Equipment (can be personal computer, server or the network equipment etc.) or processor (English: processor) execute this hair
The part steps of bright each embodiment the method.And storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory
(English: Read-Only Memory, abbreviation: ROM), random access memory (English: Random Access Memory, letter
Claim: RAM), the various media that can store program code such as magnetic or disk.
Claims (10)
1. a kind of vehicle load processing method characterized by comprising
Obtain the vehicle status parameters in prefixed time interval；
The vehicle status parameters are pre-processed, first effective vehicle status parameters are obtained；
Each acceleration value of the vehicle in the prefixed time interval is obtained according to described first effective vehicle status parameters；
According to each acceleration value of the vehicle in the prefixed time interval, corresponding to each acceleration value first has
Effect vehicle status parameters are modified, and obtain second effective vehicle status parameters；
According to described second effective vehicle status parameters and preset first training pattern, the first vehicle load discreet value is obtained；
Confirm whether the first vehicle load discreet value meets preset condition；
If meeting preset condition, data regression is carried out according to the first vehicle load discreet value and obtains the vehicle
True load-carrying.
2. vehicle load processing method according to claim 1, which is characterized in that it is described to the vehicle status parameters into
The step of row pre-processes, and obtains first effective vehicle status parameters, comprising:
The missing data in the vehicle status parameters is deleted, the abnormal data in the vehicle status parameters is filtered out, uses institute
The average value for stating two adjacent datas of abnormal data replaces the abnormal data, obtains described first effective vehicle-state ginseng
Number.
3. vehicle load processing method according to claim 1, which is characterized in that the vehicle status parameters include wheel
Revolving speed, vehicle drive system efficiency, tire radius, motor input voltage and motor input current.
4. vehicle load processing method according to claim 3, which is characterized in that described according to described second effective vehicle
State parameter and preset first training pattern, the step of obtaining the first vehicle load discreet value, comprising:
Wheel is obtained according to motor input voltage, motor input current, vehicle wheel rotational speed, tire radius and transmission system efficiency
The driving force of output；
It is equal with the driving force that the driving force of wheel input and wheel need respectively according to the driving force of wheel output, it obtains
First vehicle load discreet value gross vehicle load.
5. vehicle load processing method according to claim 4, which is characterized in that confirmation first vehicle load
Whether discreet value meets preset condition, comprising:
Obtain the quantity of the first vehicle load discreet value；
Confirm whether the quantity of the first vehicle load discreet value meets predetermined upper threshold value；
Correspondingly, carrying out data regression if reaching predetermined upper threshold value according to the first vehicle load discreet value and obtaining
To the true load-carrying of first vehicle.
6. vehicle load processing method according to claim 5, which is characterized in that confirmation first vehicle load
After the step of whether quantity of discreet value meets predetermined upper threshold value, further includes:
If not reaching the predetermined upper threshold value, continue first vehicle for obtaining the quantity for reaching predetermined upper threshold value
Load-carrying discreet value.
7. vehicle load processing method according to claim 1, which is characterized in that the preset first training pattern packet
Include back-propagation algorithm training BP, reverse neural network propagates LM-BP, in radial basis function neural network RBF training pattern
Any one.
8. vehicle load processing method according to claim 1, which is characterized in that in the true load-carrying for obtaining the vehicle
The step of after, the method also includes:
The true load-carrying of the vehicle is sent to the display equipment or car-mounted terminal of vehicle by data/address bus.
9. a kind of vehicle load processing unit characterized by comprising
Module is obtained, for obtaining the vehicle status parameters in prefixed time interval；
Preprocessing module obtains first effective vehicle status parameters for pre-processing to the vehicle status parameters；
Computing module, for obtaining the vehicle in the prefixed time interval according to described first effective vehicle status parameters
Each acceleration value；
Correction module, for each acceleration value according to the vehicle in the prefixed time interval, to each acceleration
It is worth corresponding first effective vehicle status parameters to be modified, obtains second effective vehicle status parameters；
Training pattern module, for according to described second effective vehicle status parameters and preset first training pattern, obtaining the
One vehicle load discreet value；
Confirmation module, for confirming whether the first vehicle load discreet value meets preset condition；
Analysis module, if carrying out data regression according to the first vehicle load discreet value for meeting preset condition
Obtain the true load-carrying of the vehicle.
10. a kind of electronic equipment characterized by comprising processor, storage medium and bus, the storage medium are stored with
The executable machine readable instructions of the processor, when electronic equipment operation, between the processor and the storage medium
By bus communication, the processor executes the machine readable instructions, executes as described in claim 1-8 is any when executing
Vehicle load processing method the step of.
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| CN110361081A (en) * | 2019-07-19 | 2019-10-22 | 成都云科新能汽车技术有限公司 | A kind of vehicular gross combined weight dynamic measurement method based on recurrent least square method |
| CN110406539A (en) * | 2019-07-22 | 2019-11-05 | 杭州鸿泉物联网技术股份有限公司 | A kind of method and device identifying vehicle load state |
| CN112441016A (en) * | 2019-09-05 | 2021-03-05 | 百度（美国）有限责任公司 | Gear-based vehicle load inference system |
| CN112461346A (en) * | 2020-11-13 | 2021-03-09 | 北京旷视机器人技术有限公司 | Robot load detection method and device, robot and readable storage medium |
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