CN105808509B - A kind of train dead weight estimation on line method - Google Patents

A kind of train dead weight estimation on line method Download PDF

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CN105808509B
CN105808509B CN201610114639.1A CN201610114639A CN105808509B CN 105808509 B CN105808509 B CN 105808509B CN 201610114639 A CN201610114639 A CN 201610114639A CN 105808509 B CN105808509 B CN 105808509B
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train
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thrust
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李江红
高首聪
朱迎谷
胡云卿
吴业庆
张征方
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Zhuzhou CRRC Times Electric Co Ltd
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Zhuzhou CSR Times Electric Co Ltd
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Abstract

The invention discloses a kind of train dead weight estimation on line methods, include the following steps:S1. according to preset calculating cycle, the average value of thrust and average acceleration value of train in the calculating cycle are calculated:Including the second average value of thrust and the second average acceleration value in the first average value of thrust and the first average acceleration value and second calculating cycle in first calculating cycle;S2. average tractive force difference is calculated according to the described first average value of thrust and the second average value of thrust, average acceleration difference is calculated according to first average acceleration value and the second average acceleration value;S3. conducted oneself with dignity by average tractive force difference and average acceleration mathematic interpolation train.The present invention can easily and efficiently estimation on line train conduct oneself with dignity, and have many advantages, such as that reliability is high, precision is high.

Description

A kind of train dead weight estimation on line method
Technical field
The present invention relates to a kind of evaluation method of train dead weight more particularly to a kind of train dead weight estimation on line methods.
Background technology
Existing most of train, operation all rely on the sticking action power between wheel track and generate required tractive force And brake force.Adhesion refer to due to material deformation and be present between wheel and rail it is a kind of between pure rolling and simple sliding it Between wheel track state.Torque suffered by a certain moment wheel has been more than that the maximum adhesion that can be provided under current tacky state is made When firmly, the adhesion between wheel track will be destroyed, and rail level is reduced rapidly the tangential force of contact with wheel therewith, eventually leads to wheel pair Idle running or locking are slided, and are brought to rail vehicle and are difficult to expect serious consequence, and control of being adhered again in time is needed.It glues again It is when controller detects wheel to dallying/sliding, or when having idle running/slide trend, by electric to reducing control Machine power square or reduction act on wheel and act on active controls such as upper air brake pressures, and inhibition wheel pair idling/slide forces Wheel sticks together the process of state to reentering wheel track.
Rail traffic vehicles are adhered again, and (wheel is practical fast with vehicle to linear velocity to creep speed for calculating wheel in real time for control needs The difference of degree slides degree commonly used to characterize wheel pair idling), wheel to acceleration, wheel to the micro- grading information of acceleration, and judge be It is no be more than corresponding adhesion protection control threshold protection value (when the creep speed of above-mentioned calculating, wheel to acceleration, wheel to acceleration Differential is more than threshold value, then it is assumed that the wheel dallies/slides to having occurred and that, or with dally/slide trend) determine whether It needs to carry out off-load protection to torque to working as front-wheel.But since rail vehicle weight change range is usually bigger, such as goods Transport three kinds of common operating statuses of locomotive:Dilatory empty wagons (being about 1000 tons or so), dilatory heavy duty (are about 3000 tons to arrive 5000 tons) or single-unit operation (being about more than 100 tons to more than 200 tons weight), same to draw under force effect, three kinds of operations The corresponding train self-acceleration of state, acceleration differential difference are big, so corresponding adhesion protection threshold value also should gap Greatly, and if carrying out adhesion protection using a set of fixed threshold value and adhering to control again to may result in wheel to regular triggering The protection of unnecessary off-load or vehicle can not full power play, seriously affect tractive force performance, while also giving driver Bring huge physical load and mental burden.
If the current dead weight information of train can be obtained in adhesion protection and control of adhering again, so that it may with according to dead weight Adjustment adhesion protection threshold value, improves the precision of adhesion protection, ensures that train can effectively play traction in the range of safety Power.There are many ways to obtaining train dead weight, for example Chinese herbaceous peony requirement train operator's input weight information is opened every time, but this side Method is easy to generate consequence difficult to the appraisal because of the maloperation of train driving personnel, and the load information inputted first may not be smart Really, the problems such as next is possible to input error occur or forget input, the in a word meeting by way of being manually entered load information The safety and reliability of train itself is reduced, the probability that train breaks down is increased.
Invention content
The technical problem to be solved in the present invention is that:For technical problem of the existing technology, the present invention provides one The quick and easy train dead weight estimation on line method of kind.
In order to solve the above technical problems, technical solution proposed by the present invention is:A kind of train dead weight estimation on line method, packet Include following steps:
S1. according to preset calculating cycle, the average value of thrust of train in the calculating cycle is calculatedAdd with average Velocity amplitudeIncluding the first average value of thrust in first calculating cycleWith the first average acceleration valueAnd second The second average value of thrust in a calculating cycleWith the second average acceleration value
S2. according to the described first average value of thrustWith the second average value of thrustAverage traction force difference is calculated ValueAccording to first average acceleration valueWith the second average acceleration valueAverage acceleration difference is calculated
S3. train dead weight is calculated according to formula shown in formula (1),
In formula (1),To calculate gained train dead weight,For average tractive force difference,For average acceleration difference.
As a further improvement on the present invention, the average value of thrust of train is calculated in the step S1And average acceleration Angle valueMethod include:
S1.1. train is obtained in the preset calculating cycle in the value of thrust F and acceleration value a of each sampled point;
S1.2. the average value of thrust of train is calculated by the value of thrust F and acceleration value a of each sampled pointAnd average acceleration value
As a further improvement on the present invention, the method for acquisition value of thrust F includes in the step S1.1:Pass through train Traction electric machine sensor obtains traction electric machine output torque value m, and leading for traction electric machine output is calculated according to the formula as shown in formula (2) Gravitation value f,
F=m × k (2)
In formula (2), f is the value of thrust of traction electric machine output, and m is traction electric machine output torque value, and k passes for traction electric machine Dynamic coefficient;
The sum of the value of thrust f for calculating each traction electric machine output of train obtains train traction force value F;
Or,
On the basis of the value of thrust f of one traction electric machine of train output, it is multiplied by train traction motor quantity, obtains train Value of thrust F.
As a further improvement on the present invention, before the step S1.1, further include obtaining train status, judge whether Start the average value of thrust of calculating trainAnd average acceleration valueStep S1.1a:Monitor train current speed value v and Value of thrust F jumps to step S1.1 when meeting Rule of judgment shown in formula (3),
In formula (3), v is velocity amplitude, and F is value of thrust, VtFor preset threshold speed, FtFor preset traction force threshold.
As a further improvement on the present invention, further include the traction for judging each sampled point in the step S1.1 Step S1.1b whether effective force value F and acceleration value a:Judge the moment values in traction electric machine control instruction and traction electric machine Whether the difference of the traction electric machine output torque value m acquired in sensor is more than preset torque threshold, is to judge that train is being worked as Off-load occurs for preceding sampled point, abandons the value of thrust F and acceleration value a acquired in the current sampling point.
As a further improvement on the present invention, further include judging that continuing for off-load occurs for train in the step S1.1b Whether duration exceeds preset off-load duration threshold value, is to terminate the calculating cycle.
As a further improvement on the present invention, further include step S1.1c in the step S1.1:Judge in the meter It calculates whether the number that train acceleration vibrates in the period exceeds preset vibration number threshold value, is to terminate calculating week Phase;The vibration refers to the symbol in the train acceleration that sampled point obtains and first sampled point acquisition in the calculating cycle Train acceleration symbol it is opposite.
As a further improvement on the present invention, further include step S1.1d in the step S1.1:Monitor train traction Handle state then terminates the calculating cycle when the train traction handle state changes.
As a further improvement on the present invention, further include step S1.1e after the step S1.1:According to train rail Data judge in the calculating cycle, train whether preset Orbit revolutionary is less than by the variable quantity of the radius of track Threshold value, and whether thousand score variable quantity of track ramp is less than preset ramp variable quantity threshold value, is the S1.2 that gos to step, it is no Then terminate the calculating cycle.
As a further improvement on the present invention, further include step S1a after the step S1:Judge described first Whether the time interval of calculating cycle and second calculating cycle is more than preset time difference threshold value, is to abandon described first The first average tractive force that calculating cycle is calculatedWith the first average accelerationWith in second calculating cycle Two average tractive forceWith the second average accelerationThe the first average tractive force obtained as first calculating cycleWith One average accelerationAnd recalculate the second average tractive force in second calculating cycleWith the second average acceleration
As a further improvement on the present invention, further include step S2a after the step S2:Judge described averagely to lead Gravitation is poorWith the average acceleration differenceSymbol it is whether identical, be the S3 that gos to step, otherwise jump to step Rapid S1.
As a further improvement on the present invention, further include step S2b after the step S2a:Judge described averagely to lead Gravitation is poorWhether it is more than preset traction force difference threshold value, is, enters the S3 that gos to step, otherwise go to step S1.
Compared with the prior art, the advantages of the present invention are as follows:The present invention can quick and easy, estimation on line train dead weight.
Description of the drawings
Fig. 1 is the flow chart of the present invention.
Fig. 2 is the flow chart that step S1 of the present invention calculates average value of thrust and average acceleration value.
Specific implementation mode
Below in conjunction with Figure of description and specific preferred embodiment, the invention will be further described, but not therefore and It limits the scope of the invention.
The estimation on line method as shown in Figure 1, a kind of train of the present embodiment is conducted oneself with dignity, includes the following steps:S1. according to preset Calculating cycle calculates the average value of thrust of train in calculating cycleAnd average acceleration valueWeek is calculated including first The first average value of thrust in phaseWith the first average acceleration valueAnd second in second calculating cycle is averagely led Gravitation valueWith the second average acceleration valueS2. according to the first average value of thrustWith the second average value of thrustMeter Calculation obtains average tractive force differenceAccording to the first average acceleration valueWith the second average acceleration valueIt is calculated flat Equal acceleration differenceS3. train dead weight is calculated according to formula shown in formula (1),
In formula (1),To calculate gained train dead weight,For average tractive force difference,For average acceleration difference.
According to Newton's second law, the weight of train can be calculated by the formula as shown in formula (4):
It is the weight of train in formula (4), a is the acceleration of train, and F ' is that train is suffered total in orbital direction Bonding force.According to train operation operating mode, the bonding force suffered by train is related with many factors, including wheel rail adhesion state, ramp, Bend, train speed etc. can be indicated with the formula as shown in formula (5):
In formula (5), F ' is train total bonding force suffered in orbital direction,Be i-th wheel to suffered Sticking action power, fτFor gradient resistance, fdFor air drag, n is total wheel to number.
Since gradient resistance, air drag, curve resistance etc. can not measure in real time, so more than can not directly using Newton's second law calculates the weight of train.And because the weight of train is held essentially constant in a driving conditions, to newton the First order Taylor is sought in the both sides of two law formula simultaneously, can obtain the calculation formula as shown in formula (6):
In formula (6),For the dead weight of train, Δ F is the variable quantity of train suffered bonding force in orbital direction, and Δ a is The variable quantity of train acceleration.
Within a shorter time, the variable quantity of the gradient resistance and air drag suffered by train is regarded as 0, then formula (6) the variation delta F of train suffered bonding force in orbital direction approximate can be calculated according to the formula as shown in formula (7) in, that is, be arranged The variable quantity of vehicle suffered bonding force in orbital direction is equal to summation of each wheel to sticking action power variable quantity,
In formula (7), Δ F is the variable quantity of train suffered bonding force in orbital direction,Be i-th wheel to suffered Sticking action power variable quantity, n be total wheel to number.
When Railway wheelset sticking action power is good, the sticking action power of Railway wheelset is defeated equal to Railway wheelset traction electric machine The variable quantity of the tractive force gone out, i.e. the train suffered bonding force in orbital direction is equal to the variable quantity of tractive force suffered by train.For So that the train of calculating is conducted oneself with dignity more accurate, in the present embodiment, is led using train being averaged within front and back twice is obtained Gravitation and average acceleration, then calculate the difference of the difference and average acceleration of average tractive force in twice, formula (6) institute Showing formula then can be write as the formula as shown in formula (1), and the dead weight of train is calculated.
As shown in Fig. 2, in the present embodiment, the average value of thrust of train is calculated in step S1And average acceleration valueMethod be:S1.1. train is obtained in preset calculating cycle in the value of thrust F and acceleration value a of each sampled point; S1.2. the average value of thrust of train is calculated by the value of thrust F of each sampled point and acceleration value aAnd average acceleration Angle valueIn the present embodiment, preset calculating cycle is 10s, naturally it is also possible to calculating cycle be arranged according to actual needs.
In the present embodiment, further include obtaining train status before step S1.1, judge whether to start to calculate train Average value of thrustAnd average acceleration valueStep S1.1a:Train current speed value v and value of thrust F is monitored, when full Shown in sufficient formula (3) when Rule of judgment, step S1.1 is jumped to,
In formula (3), v is velocity amplitude, and F is value of thrust, VtFor preset threshold speed, FtFor preset traction force threshold.
In the present embodiment, the method for acquisition value of thrust F includes:Traction electricity is obtained by train traction motor sensor Machine output torque value m calculates the value of thrust f of traction electric machine output according to the formula as shown in formula (2),
F=m × k (2)
In formula (2), f is the value of thrust of traction electric machine output, and m is traction electric machine output torque value, and k passes for traction electric machine Dynamic coefficient;The sum of the value of thrust f for calculating each traction electric machine output of train obtains train traction force value F;Or, with train one lead On the basis of the value of thrust f for drawing motor output, it is multiplied by train traction motor quantity, obtains train traction force value F.
In the present embodiment, the method for acquisition train acceleration value a is:Train is obtained in each sampling by velocity sensor The velocity amplitude v of point, and by the time interval between the velocity amplitude and sampled point of former and later two sampled points, calculate the acceleration of train Angle value a.
In the present embodiment, further include judging that the value of thrust F of each sampled point and acceleration value a are in step S1.1 No effective step S1.1b:Judge the moment values in traction electric machine control instruction and the traction acquired in traction electric machine sensor Whether the difference of motor output torque value m is more than preset torque threshold, is to judge that in the sampled point off-load occurs for train, abandons Value of thrust F acquired in the current sampling point and acceleration value a.Further include judging that off-load occurs for train in step S1.1b Duration whether exceed preset off-load duration threshold value, be to terminate the calculating cycle.In each sampling period, pass through row Vehicle traction electric machine sensor obtains the output torque value m of traction electric machine, and is carried out with the moment values in traction electric machine control instruction Compare, i.e., be compared the actual output torque value of traction electric machine with setting output torque value, when the difference of the two is more than in advance If torque threshold when, judge train the sampled point occur off-load then abandon the sampling to ensure the precision of sampled data The data of point, do not calculate the value of thrust F and acceleration value a of current sampling point;When train recurs the off-load time beyond pre- If off-load duration threshold value, i.e., persistently occur off-load sampled point number exceed preset off-load number when, then judge train It plays pendulum in the calculating cycle, in order to ensure the precision of sampled result, terminates this calculating cycle, the calculating cycle Basic data of the data sampled not as estimation train dead weight.
Further include step S1.1c in the present embodiment step S1.1:Judge that train acceleration shakes in calculating cycle Whether dynamic number exceeds preset vibration number threshold value, is to terminate the calculating cycle;Vibration refers to being obtained in sampled point The symbol of train acceleration is opposite with the symbol of train acceleration that first sampled point obtains in the calculating cycle.In this reality It applies in example, after calculating the acceleration value a for obtaining each sampled point train, by the acceleration value a of each sampled point and in the meter First acceleration value a being obtained in the period is calculated to be compared, if the sign symbol of the two on the contrary, if judge that train accelerates Degree vibrates, and when the vibration number in the calculating cycle is beyond preset vibration number threshold value, then judges train in the meter It calculates and plays pendulum in the period, in order to ensure the precision of sampled result, terminate this calculating cycle, which is sampled Data not as estimation train dead weight basic data.When the vibration number in the calculating cycle is without departing from preset When vibration number threshold value, judge that train is in stable state in the calculating cycle, continues the calculating process of the present invention.
Further include step S1.1d in the present embodiment step S1.1:Train traction handle state is monitored, train traction is worked as When handle state changes, then terminate the calculating cycle.In the operational process of train, the gear of train changes, past Toward the operating status of train can be caused to have greatly changed, stablize shape to ensure that train is in the same calculating cycle State, optimal state are that train is in the operation of same gear in the calculating cycle.In the present embodiment, it is led by monitoring train Draw handle state, when train traction handle state changes, i.e., when train gear changes, then terminates the calculating cycle , basic data of the data that this calculating cycle is sampled not as estimation train dead weight.When train traction handle state does not have When changing, then continue the calculating process of the present invention.
Further include step S1.1e after the present embodiment step S1.1:According to train rail data, judge in the calculating In period, train whether preset Orbit revolutionary threshold value is less than by the variable quantity of the radius of track, and track ramp thousand is divided Whether number variable quantity is less than preset ramp variable quantity threshold value, is the S1.2 that gos to step, otherwise terminates the calculating cycle. In the present embodiment, the variable quantity of train suffered bonding force in orbital direction is calculated with the variable quantity of tractive force suffered by train, The variable quantity for other external force in addition to tractive force suffered in calculating cycle that therefore, it is necessary to trains is as small as possible.It is other outer Power mainly includes gradient resistance, resistance etc. caused by lateral pressure of the train in turning by track to train.At this In embodiment, by the orbital data run to train, analyze in the calculating cycle sampled train by rail Road parameter, when train preset Orbit revolutionary threshold value is less than by the variable quantity of the radius of track, thousand score of track ramp becomes When change amount is less than preset ramp variable quantity threshold value, then the influence of train other external force suffered in the calculating cycle is judged Smaller, the data sampled in the calculating cycle meet the required precision needed for calculating;Otherwise judge institute in the calculating cycle The data precision of sampling is unsatisfactory for calculating and require, and terminates this calculating cycle, and the data that this calculating cycle is sampled are not as estimating Calculate the basic data of train dead weight.In the present embodiment, Orbit revolutionary threshold value value is 100 meters, ramp variable quantity threshold value value It is 1, it is of course also possible to which different values is arranged according to actual conditions.
In the present embodiment, the value of thrust F and acceleration value a for meeting required precision are obtained by above step, are calculated The average value of the calculating cycle internal traction force value F and acceleration value a, you can obtain average value of thrustAnd average acceleration valueSampling calculating is carried out to two calculating cycles, you can obtain the first average value of thrust in first calculating cycleWith First average acceleration valueAnd the second average value of thrust in second calculating cycleWith the second average acceleration valueCalculate the average value of thrust of two calculating cyclesAnd average acceleration valueDifference can be obtained average traction force difference ValueWith average acceleration difference
In the present embodiment, the in first calculating cycle first average value of thrust is being obtainedWith the first average acceleration Angle valueAnd the second average value of thrust in second calculating cycleWith the second average acceleration valueLater, it also wraps Include step S1a:Judge whether first calculating cycle and the time interval of second calculating cycle are more than preset time difference threshold Value, is to re-execute step S1, otherwise go to step S2.In the present embodiment, by track condition that train is run The estimation result that can influence train dead weight, therefore, it is necessary in estimation process the Orbit revolutionary amount of train it is as small as possible, and first The time interval of a calculating cycle and second calculating cycle reflects train and is obtaining the hits in two calculating cycles According to when range ability, also reflect and get on the right track the changed possibility of state in the range ability, it is relatively short at one In range ability, changed be likely less than of track condition becomes in a relatively long range ability inner orbit state The possibility of change.In the present embodiment, when the time interval of first calculating cycle and second calculating cycle is more than preset Between poor threshold value, then judge the variation that train rail state occurs, influence whether, to the precision of train dead weight estimation, to need to count again Calculate the average value of thrust in two calculating cyclesAnd average acceleration valueOtherwise go to step S2.In the present embodiment In, in order to further increase the execution efficiency of the method for the present invention, more preferably method is:When first calculating cycle and second meter When calculating the time interval in period more than preset time difference threshold value, the average value of thrust in two calculating cycles is not recalculatedAnd average acceleration valueBut abandon the first calculating cycle is calculated first average tractive forceWith first Average accelerationWith the second average tractive force in second calculating cycleWith the second average accelerationAs first The first average tractive force that calculating cycle obtainsWith the first average accelerationAnd it recalculates in second calculating cycle Second average tractive forceWith the second average acceleration
In the present embodiment, further include step S2a after the step S2:Force difference is averagely drawn in judgementWith it is average Acceleration differenceSymbol it is whether identical, be the S3 that gos to step, otherwise go to step S1.In the present embodiment, root According to the relationship between bonding force and train acceleration suffered by train, train averagely draws force differenceIt is poor with the average acceleration ValueShould variation tendency having the same, i.e., both symbol should be identical, if differed, shows in two calculating cycles There are large errors for data precision acquired in interior sampling, need the S1 that gos to step, reacquire in two calculating cycles Average value of thrustAnd average acceleration valueIn the present embodiment, in order to which further increase the method for the present invention executes effect Rate, more preferably method be:When train averagely draws force differenceWith the average acceleration differenceSymbol when differing, no Recalculate the average value of thrust in two calculating cyclesAnd average acceleration valueBut abandon first calculating cycle The first average tractive force being calculatedWith the first average accelerationIt is averagely led with second in second calculating cycle GravitationWith the second average accelerationThe the first average tractive force obtained as first calculating cycleAveragely add with first SpeedAnd recalculate the second average tractive force in second calculating cycleWith the second average acceleration
Further include step S2b after the present embodiment step S2a:Force difference is averagely drawn in judgementWhether it is more than preset Force difference threshold value is drawn, is, enters the S3 that gos to step, otherwise go to step S1.The present invention passes through the flat of two calculating cycles Draw force differenceWith average acceleration differenceCome estimate train conduct oneself with dignity, in order to ensure train dead weight estimation precision, need Want the average traction force difference of former and later two calculating cyclesWith average acceleration differenceMeet certain otherness, that is, meets Averagely draw force differenceMore than preset traction force difference threshold value, meets the S3 that then gos to step, pass through the formula as shown in formula (1) Estimate train dead weight, otherwise go to step S1, needs to reacquire the average value of thrust in two calculating cyclesPeace Equal acceleration valueIn the present embodiment, in order to further increase the execution efficiency of the method for the present invention, more preferably method is:When It is unsatisfactory for average traction force differenceWhen more than preset traction force difference threshold value, being averaged in two calculating cycles is not recalculated Value of thrustAnd average acceleration valueBut abandon the first calculating cycle is calculated first average tractive force With the first average accelerationWith the second average tractive force in second calculating cycleWith the second average accelerationAs The first average tractive force that first calculating cycle obtainsWith the first average accelerationAnd it recalculates second and calculates week The second average tractive force in phaseWith the second average accelerationIt is 10KN that the present embodiment, which draws force difference threshold value value,.
What the present embodiment was calculated by a variety of methods to the sampled data of calculating cycle and according to sampled data is averaged Value of thrustAnd average acceleration valuePrecision carry out analysis and assessment, can effectively improve the precision of fetched data, So that the train dead weight that the method for the present invention is estimated has higher precision, also, the method for the present invention is woth no need to manually doing In advance, can easily and efficiently be automatically performed during train operation train dead weight estimation, compared with the existing technology in need The method of manual entry train dead weight, reliability and accuracy higher.Meanwhile it after train organize into groups again, can not also need Again the train dead weight after manual entry marshalling, method through the invention can re-evaluate the dead weight after marshalling automatically, greatly It is big to improve the working efficiency for obtaining train dead weight.
Above-mentioned only presently preferred embodiments of the present invention, is not intended to limit the present invention in any form.Although of the invention Disclosed above with preferred embodiment, however, it is not intended to limit the invention.Therefore, every without departing from technical solution of the present invention Content, technical spirit any simple modifications, equivalents, and modifications made to the above embodiment, should all fall according to the present invention In the range of technical solution of the present invention protection.

Claims (10)

  1. A kind of estimation on line method 1. train is conducted oneself with dignity, which is characterized in that include the following steps:
    S1. according to preset calculating cycle, the average value of thrust of train in the calculating cycle is calculatedAnd average acceleration ValueIncluding the first average value of thrust in first calculating cycleWith the first average acceleration valueAnd second meter Calculate the second average value of thrust in the periodWith the second average acceleration value
    S2. according to the described first average value of thrustWith the second average value of thrustAverage tractive force difference is calculatedAccording to first average acceleration valueWith the second average acceleration valueAverage acceleration difference is calculated
    S3. train dead weight is calculated according to formula shown in formula (1),
    In formula (1),To calculate gained train dead weight,For average tractive force difference,For average acceleration difference;
    The average value of thrust of train is calculated in the step S1And average acceleration valueMethod include:
    S1.1. train is obtained in the preset calculating cycle in the value of thrust F and acceleration value a of each sampled point;
    S1.2. the average value of thrust of train is calculated by the value of thrust F and acceleration value a of each sampled pointWith Average acceleration value
    Further include judging whether the value of thrust F and acceleration value a of each sampled point effectively walk in the step S1.1 Rapid S1.1b:Judge the moment values in traction electric machine control instruction and the traction electric machine power output acquired in traction electric machine sensor Whether the difference of square value m is more than preset torque threshold, is to judge that in current sampling point off-load occurs for train, abandons this and currently adopt Value of thrust F acquired in sampling point and acceleration value a.
  2. The estimation on line method 2. train according to claim 1 is conducted oneself with dignity, which is characterized in that obtain and lead in the step S1.1 The method of gravitation value F includes:Traction electric machine output torque value m is obtained by train traction motor sensor, according to such as formula (2) institute Show that formula calculates the value of thrust f of traction electric machine output,
    F=m × k (2)
    In formula (2), f is the value of thrust of traction electric machine output, and m is traction electric machine output torque value, and k is traction electric machine power train Number;
    The sum of the value of thrust f for calculating each traction electric machine output of train obtains train traction force value F;
    Or,
    On the basis of the value of thrust f of one traction electric machine of train output, it is multiplied by train traction motor quantity, obtains train traction Force value F.
  3. The estimation on line method 3. train according to claim 2 is conducted oneself with dignity, which is characterized in that before the step S1.1, Further include obtaining train status, judges whether the average value of thrust for starting to calculate trainAnd average acceleration valueThe step of S1.1a:Monitoring train current speed value v and value of thrust F jumps to step when meeting Rule of judgment shown in formula (3) S1.1,
    In formula (3), v is velocity amplitude, and F is value of thrust, VtFor preset threshold speed, FtFor preset traction force threshold.
  4. The estimation on line method 4. train according to claim 1 is conducted oneself with dignity, it is characterised in that:In the step S1.1b, also It is to terminate the calculating cycle including judging that the duration of off-load occurs for train whether beyond preset off-load duration threshold value.
  5. The estimation on line method 5. train according to claim 1 is conducted oneself with dignity, it is characterised in that:In the step S1.1, also Including step S1.1c:Judge whether the number that train acceleration vibrates in the calculating cycle exceeds preset vibration Frequency threshold value is to terminate the calculating cycle;The vibration refers to the symbol of the train acceleration obtained in sampled point and at this The symbol for the train acceleration that first sampled point obtains in calculating cycle is opposite.
  6. The estimation on line method 6. train according to claim 1 is conducted oneself with dignity, it is characterised in that:In the step S1.1, also Including step S1.1d:Monitoring train traction handle state then terminates this when the train traction handle state changes Calculating cycle.
  7. The estimation on line method 7. train according to claim 1 is conducted oneself with dignity, which is characterized in that after the step S1.1, also Including step S1.1e:According to train rail data, judge in the calculating cycle, train pass through the change of the radius of track Whether change amount is less than preset Orbit revolutionary threshold value, and whether thousand score variable quantity of track ramp is less than preset ramp variable quantity Threshold value is the S1.2 that gos to step, and otherwise terminates the calculating cycle.
  8. 8. according to claim 1-7 any one of them trains dead weight estimation on line method, it is characterised in that:In the step S1 Later, further include step S1a:Judge whether first calculating cycle and the time interval of second calculating cycle are more than in advance If time difference threshold value, be to re-execute step S1, otherwise go to step S2.
  9. The estimation on line method 9. train according to claim 8 is conducted oneself with dignity, it is characterised in that:After the step S2, also Including step S2a:Judge described averagely to draw force differenceWith the average acceleration differenceSymbol it is whether identical, be then Go to step S3, and otherwise go to step S1.
  10. The estimation on line method 10. train according to claim 9 is conducted oneself with dignity, it is characterised in that:After the step S2a, Further include step S2b:Judge described averagely to draw force differenceWhether it is more than preset traction force difference threshold value, is to jump to step Rapid S3, otherwise go to step S1.
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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101443636A (en) * 2006-05-12 2009-05-27 Zf腓德烈斯哈芬股份公司 Method for determining the mass of a motor vehicle
CN102867098A (en) * 2012-09-27 2013-01-09 西南交通大学 Component-oriented high-speed train system dynamics computer modeling method
CN103308131A (en) * 2012-03-12 2013-09-18 Ls产电株式会社 Apparatus and method for estimating railway vehicle masses
WO2015092476A1 (en) * 2013-12-19 2015-06-25 Volvo Truck Corporation Method and vehicle with arrangement for estimating mass of the vehicle

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101443636A (en) * 2006-05-12 2009-05-27 Zf腓德烈斯哈芬股份公司 Method for determining the mass of a motor vehicle
CN103308131A (en) * 2012-03-12 2013-09-18 Ls产电株式会社 Apparatus and method for estimating railway vehicle masses
CN102867098A (en) * 2012-09-27 2013-01-09 西南交通大学 Component-oriented high-speed train system dynamics computer modeling method
WO2015092476A1 (en) * 2013-12-19 2015-06-25 Volvo Truck Corporation Method and vehicle with arrangement for estimating mass of the vehicle

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