CN103711547A - Method of regenerating a particulate filter in an engine exhaust - Google Patents

Abstract

A method of regenerating a particulate filter in an engine exhaust comprises performing a first regeneration event which includes the steps of: (a) estimating a fuel flow rate to be added to the exhaust to achieve a target temperature; (b) adding fuel to the exhaust at the estimated rate; (c) combusting at least a portion of the fuel; (d) comparing a temperature in the exhaust to the target temperature to determine an error value; and (e) storing the error value, determined in the step (d), in a memory device, and performing a second regeneration event which includes the step of (f) carrying out step (a) using the error value to refine the fuel flow rate estimate.

Description

Make the method for the filter regeneration in exhaust

Technical field

The present invention relates to make the method for filter cleaner and especially diesel soot filter (DPF) regeneration in exhaust.

Background technique

DPF is configured for and catches carbon black particle etc. to reduce the effulent of vehicle.The regeneration of this diesel soot filter (DPF) is the technology of the carbon black that its inside accumulates of burning.This technique relates to increases engine exhaust temperature to burn carbon black within a period of time, and this technique is carried out conventionally in the continuous true driving cycle changing of driving condition.Conventionally, regeneration event is automatically performed when vehicle often travels 500km left and right by vehicle ECU.

The rising of temperature can be by reducing that MAF enters and/or by spraying to realize with rear injection and/or exhaust fuel, exhaust fuel sprays can be provided hot exhaust stream and/or hydrocarbon (HC) stream through catalytic converter burning is provided, to provide enough heats carry out the carbon black in burning diesel oil machine particulate filter and therefore make filter regeneration.

Need to reach the carbon black that specified temp burns in filter cleaner, for this reason required rear/amount of exhaust fuel because of many factors different.In addition, if add too many fuel and temperature becomes too high, can produce and can to filter cleaner, cause the violent carbon black burning of internal damage, can hinder its filter efficiency like this.On the other hand, the lower meeting of temperature causes this system overspending time in regeneration mode, now can affect fuel economy and cause oil pollution, under extreme case, also may cause clogged filter.

Conventionally, use rear/amount of exhaust fuel is calculated as the combination of open loop phase (feedforward) and closed loop phase.

Open loop phase can be the direct fuel demand based on engine operational conditions, or open loop phase can be based on model, and in this model, required fuel is the calculated value that exhaust need to be heated to the energy size of temperature required needs, as following energy balance:

${\stackrel{\·}{m}}_{\mathrm{EG}}\·C_P\·\mathrm{\ΔT}={\stackrel{\·}{m}}_{\mathrm{Fu}}\·\mathrm{\Δ}{H}_{\mathrm{Comb}}^0---\left(1\right)$

Wherein,

for exhaust mass flow, C _pfor exhaust specific heat, Δ T is the required temperature increment through exothermic catalyst,

calory burning for fuel.Based on above-mentioned definition, can calculate required fuel flow rate

As shown in Figure 1, closed loop control realizes based on PID conventionally.Feedback is provided by the thermocouple before or after particulate filter, and error is measured feedback and the temperature difference between target temperature, is finally output as rear injection and/or exhaust burner oil flow.

Yet, the slow response due to the slow attribute of closed-loop system and while revising relatively large deviation, total fuel calculates and is extremely partial to open loop (feedforward contribution).

Therefore, the quality of open loop contribution is calculated most important for fuel charge, and therefore most important to regeneration quality.Yet open loop fuel calculates a plurality of different variablees and the parameter of not considering to affect its degree of accuracy, these factors comprise:

1. the fuel in sparger or exhaust steam injector is carried inaccuracy

2. through catalyzer unburned, also therefore do not produce the fuel (with gas form) of any heat

3. front feedback transducer position may not can accurately represents the temperature distribution across the front surface of catalyzer/DPF

4. by machine oil, absorbed and fail to arrive the post-injection fuel of catalyzer

5. the catalyst efficiency due to aging generation loses

6. impact is from the environmental conditions of the external heat transfer of catalyzer, such as the speed of a motor vehicle, external temperature etc.

7. affect the fuel element of burning specific heat

Therefore, in the open loop part of calculating, these factors are taken into account regeneration temperature more accurately can be provided, thereby produce more effective regeneration.

Summary of the invention

According to the present invention, a kind of method of regenerating at the spreadable life chien shih particulate filter that comprises the motor of exhaust is provided, the method comprises:

Implement the first regeneration event, it comprises step:

(a) estimation need to be added in exhaust to reach the fuel flow rate of target temperature;

(b) with above-mentioned fuel flow rate, in exhaust, add fuel;

(c) the burn at least a portion of fuel in above-mentioned exhaust, to increase temperature in exhaust;

(d) monitor the temperature in exhaust and itself and target temperature are compared to determine error amount; And

(e) definite error amount in step (d) is stored in storage device;

Implement the second regeneration event, it comprises step: (f) adopt the error amount implementation step (a) storing to improve being added to exhaust to reach the estimation of the fuel flow rate of target temperature.

Therefore, complicated open loop calculating (to determining more complicated and more representative modification of equation (1)) is different from being absorbed in, the calculating that the present inventor considers consequent complexity not only difficulty but also consuming time for modeling, and under any circumstance, this calculates all inapplicable single motor and exhaust changes, aging or operational condition.

On the contrary, embodiments of the invention are without according to the further intricately modeling of other many kinds of parameters, but in subsequent regeneration subsequently, adopt the information of obtaining from previous regeneration event to improve open loop phase.

Estimation in step (a) can be based on present engine operating conditions (open loop fuel).

The temperature of monitoring in step (d) can be particulate filter temperature.

Step (f) can comprise to be determined in order to improve the fuel correction factor to the estimation of fuel flow rate.

In step (d), error amount can obtain from closed loop elements.

Alternatively, in step (d), the error amount that error amount can obtain after implementing open loop control obtains.

No matter how little the authority of closed loop control (closed loop control allows the fuel quantity adding) have, always it attempts to control measured temperature, more approaches target temperature, and no matter the quality that open loop is calculated how.Therefore, closed loop control activity is considering of the quality calculated of divided ring.Closed loop requires the seldom fuel of amount to mean that open loop calculating is very accurate.Yet if closed loop is contributed with a large amount of fuel, open loop is calculated very poor.

Embodiments of the invention can store the information about systematic function and open loop quality that closed loop provides in real time, and correction that therefore can permanent storage divided ring to strengthen its performance in future event.

Storage can be nonvolatile memory, such as electronic control module nonvolatile memory.

Data can at least store one day, are generally the longer time, such as at least one month or at least one year.For preferred embodiment, these data can store or indefinitely until by the data cover obtaining from subsequent regeneration event.

Particulate filter is generally diesel soot filter, so this motor is generally diesel engine.Yet, for specific petrol engine, can in exhaust, configure similar filter cleaner, and also can apply the method according to this invention.

Step (a) to step (f) started conventionally successively, but also can continue for some time simultaneously, such as 5 to 10 minutes.

In step (f) before, when step (a) to step (d) occurs simultaneously, the method can comprise the stability inspection of determining that motor is just moving in relatively stable mode alternatively in step (e) before, and especially.This stability inspection can complete before at step (e), to only store particularly useful data, in any case but, for these embodiments, also can before usage data, carry out stability inspection, to be only that more stable data are used in step (f).For carrying out stability inspection, when step (a) can be calculated moving average and the mobile standard deviation of extraction flow when step (d) occurs simultaneously.If mobile standard deviation keeps below calibration threshold value in alignment time section, data can store and use in step (f) in step (e).If mobile standard deviation surpasses threshold value, the calculated value of can resetting also restarts under the same conditions.Therefore,, for these embodiments, in step (f), the data of use are calculated as the on average always fuel and the on average ratio of open loop fuel using in interval.

Target temperature can be the function that is stored in the amount of carbon blacks in filter cleaner.

The data of using in step (f) can be added the quality of with lifting, needed fuel flow rate being estimated in the open loop element of calculating to, and therefore, if other conditions are constant, consequent temperature can more approach target temperature.

Once meet stable condition and computing fuel correction, motor mean speed and load and their standard deviation can be in order to calculate the shape of revising.For example, if use two variablees (engine speed and load) to characterize engine working point, correction figure can be calculated as binary binomial distribution, centered by mean speed and POL and their corresponding standard deviation along axis.

For some embodiment, can in step (f), determine based on following equation fuel correction factor:

$\mathrm{fuel}\_\mathrm{cor}={\∫}_{t_1}^{t_2}\frac{{\stackrel{\·}{m}}_{\mathrm{Fu}}\left(\mathrm{OL}\right)+{\stackrel{\·}{m}}_{\mathrm{Fu}}\left(\mathrm{CL}\right)}{{\stackrel{\·}{m}}_{\mathrm{Fu}}\left(\mathrm{OL}\right)}\mathrm{dt}$

Alternatively, regardless of closed loop fuel, in driving cycle, needed fuel can calculate based on following equation:

$\mathrm{fuel}\_\mathrm{cor}={\∫}_{t_1}^{t_2}\frac{{\stackrel{\·}{m}}_{\mathrm{Fu}}\left(\mathrm{OL}\right)+{\stackrel{\·}{m}}_{\mathrm{Fu}}\left(\mathrm{Error}\right)}{{\stackrel{\·}{m}}_{\mathrm{Fu}}\left(\mathrm{OL}\right)}\mathrm{dt}$

Wherein,

can adopt the equation identical with calculating original open loop fuel to calculate:

${\stackrel{\·}{m}}_{\mathrm{EG}}\·C_P\·\mathrm{Error}={\stackrel{\·}{m}}_{\mathrm{Fu}}\left(\mathrm{Error}\right)\·\mathrm{\Δ}{H}_{\mathrm{Comb}}^0$

" OL " represents open loop, and " CL " represents closed loop, and " Error " represents error.

Accompanying drawing explanation

Only with reference to accompanying drawing, by example, embodiments of the invention are described now, wherein:

Fig. 1 is known PID system;

Fig. 2 is the binary normal distribution mapping parameters using in an example of the present invention;

Fig. 3 is the binary correction figure of an example of the present invention;

Fig. 4 to Fig. 7 is the procedural model based on Simulink using in example of the present invention;

Fig. 8 is the example for the Matlab code of an example of the present invention;

Fig. 9 is the curve that is illustrated in the speed of a motor vehicle recording, engine speed, the motor indication torque for particular vehicle operating conditions record using in example of the present invention and the extraction flow calculating;

Figure 10 is the curve that is illustrated in the predetermined DPF target of using in example of the present invention and the actual temperature of comparing and error between the two;

Figure 11 is the curve of the variable while being illustrated in the experience stable condition using in example of the present invention;

Figure 12 is the curve that the output model producing for embodiments of the invention is shown.

Embodiment

At diesel soot filter regeneration period, fuel enters gas exhaust piping, and fuel is in this burning and fully promote temperature, to burnout, is accumulated in the carbon black on diesel soot filter.

Select optimal amount fuel, especially select fuel flow rate, to obtain to be of value to, prevent the temperature required of carbon black over-heating or Insufficient heating and relevant issues.Therefore, required fuel flow rate is based on model (open loop) and comprise feedback elements (closed loop).

For closed loop control, conventionally use all proportional-integral-differential (PID) controllers as shown in Figure 1.PID controller calculates as error amount poor between measured process variables (in this case, the true temperature in exhaust) and the target (temperature) of expectation, and attempts to carry out minimum error by adjustment process control inputs.

The concrete advantage of embodiments of the invention is, the feedback that the PID system of true temperature obtains from comparison object temperature and exhaust is stored and uses in subsequent regeneration subsequently.

The present inventor has been found that it can not be the temperature required fuel flow rate that optimal amount is provided that many reasons can cause open loop to be calculated.This model is accurate to be taken all parameters into account to being enough to.In addition, indivedual parts of particular automobile may be restricted or poor efficiency, and this can affect temperature required, and the service condition of automobile also can affect required regeneration, for example colder or compared with warm climate in use automobile in the situation that.

The normal feedback control loop of particulate filter temperature is blunt and impracticable.Embodiments of the invention store the data of self feed back, so that subsequent regeneration starts to reach target temperature from more approaching fuel flow rate.

During regeneration event, can from closed loop fuel feed feedback, extract some information relevant to regeneration quality.From the definition of PID, closed loop contribution is:

${\stackrel{\·}{m}}_{\mathrm{Fu}}\left(\mathrm{CL}\right)=K_P\·e\left(t\right)+K_i\·{\∫}_0^{t}e\left(\mathrm{\τ}\right)\mathrm{d\τ}+K_d\·\frac{\mathrm{de}\left(t\right)}{\mathrm{dt}}---\left(2\right)$

Equation (1) can be rewritten as:

${\stackrel{\·}{m}}_{\mathrm{EG}}\·C_p\·\mathrm{\ΔT}={\stackrel{\·}{m}}_{\mathrm{Fu}}\left(\mathrm{OL}\right)\·\mathrm{\Δ}{H}_{\mathrm{Comb}}^0---\left(3\right)$

Under equilibrium condition and suppose satisfied temperature target, the fuel being calculated by PID for realizing the open loop fuel error measuring value of this temperature objectives.Fuel correction factor can be defined as:

$\mathrm{fuel}\_\mathrm{cor}={\∫}_{t_1}^{t_2}\frac{{\stackrel{\·}{m}}_{\mathrm{Fu}}\left(\mathrm{OL}\right)+{\stackrel{\·}{m}}_{\mathrm{Fu}}\left(\mathrm{CL}\right)}{{\stackrel{\·}{m}}_{\mathrm{Fu}}\left(\mathrm{OL}\right)}\mathrm{dt}---\left(4\right)$

Fuel correction factor represents to revise the required fuel of multiple disturbance, and its except P, I, D gain-adjusted without calibration.Correction factor is multiplied by open loop fuel and can obtains revised open loop fuel.

Be more than the restriction of carrying out under equilibrium condition, this equilibrium condition is difficult to maintain in normal driving cycle.Equilibrium condition depends on the physical property of vent systems and the extraction flow of specific engines operation point.For determining that whether motor operation conditions is enough stable, preferably takes stability inspection.

Extraction flow calculate for engine intake airflow (recording by maf sensor) and all fuel that use (after comprising/exhaust spray) add and.

For carrying out stability measurement, can calculate moving average and the mobile standard deviation of extraction flow.If mobile standard deviation keeps below calibration threshold value between alignment epoch, carry out and be activated as the instruction of obtaining (learn) of equation (4).Therefore fuel correction is calculated as the on average always fuel and the on average ratio of open loop fuel using in interval.On the other hand, if mobile standard deviation surpasses threshold value, reset and calculate and restart under the same conditions.Interval (t ₁, t ₂) be the time interval that meets stable condition.

Once meet stable condition and computing fuel correction, motor mean speed and load and their standard deviation can be in order to calculate the shape of revising.If use two variablees (as engine speed and load), the feature of engine working point is described, correction figure can be calculated as binary binomial distribution, binary binomial distribution centered by mean speed and POL and their corresponding standard deviation along axis.

example

Fig. 2 shows the binary normal distribution that adopts following parameter.

Rotating speed (on average)=2000rpm

Rotating speed (standard deviation)=200rpm

Moment of torsion (on average)=80Nm

Moment of torsion (standard deviation)=30Nm

The value of these corrections figure is limited between 0 and 1.Figure in Fig. 2 is finally multiplied by ' fuel_cor' is with the final correction figure in computing fuel unit.This means that correction, by being applied in center of distribution (it is enough stable that the mean speed during this and load are considered to) completely, is then in harmonious proportion according to the standard deviation of this rotating speed and load.

In regeneration mode, said process can be in the whole in-process continuous repetition of driving cycle.While meeting stable condition, can carry out new obtaining and added in existing correction figure at every turn.When regeneration ending, correction figure is stored in the NVM(nonvolatile memory of control unit of engine) in and in ensuing regeneration event, use and upgrade.Fig. 3 shows four and obtains circulation correction figure afterwards.

In alternate embodiment of the present invention, can use a kind of alternative fuel corrected Calculation, it can avoid the use of closed loop control data.On the contrary, previously the open loop error of regeneration event replaces closed loop fuel and is used to calculate required fuel during driving cycle.Therefore, equation (4) can be expressed as:

$\mathrm{fuel}\_\mathrm{cor}={\∫}_{t_1}^{t_2}\frac{{\stackrel{\·}{m}}_{\mathrm{Fu}}\left(\mathrm{OL}\right)+{\stackrel{\·}{m}}_{\mathrm{Fu}}\left(\mathrm{Error}\right)}{{\stackrel{\·}{m}}_{\mathrm{Fu}}\left(\mathrm{OL}\right)}\mathrm{dt}---\left(5\right)$

Wherein, can adopt the equation identical with calculating original open loop fuel to calculate:

${\stackrel{\·}{m}}_{\mathrm{EG}}\·C_P\·\mathrm{Error}={\stackrel{\·}{m}}_{\mathrm{Fu}}\left(\mathrm{Error}\right)\·\mathrm{\Δ}{H}_{\mathrm{Comb}}^0---\left(6\right)$

The advantage of this alternate embodiment is not rely on the performance of closed loop control.PID can introduce some can affect the noise obtaining.And contrary, PID gain needn't be compromised mutually with the constraint of acquisition algorithm.On the other hand, multiple inaccuracy can be applicable to this calculating, so this system can more be obtained iteration and obtains and correctly obtain identical performance from closed loop.

Fig. 4 to Fig. 7 shows the model description based on Simulink, and in appendix, has defined term.In Fig. 4, define input and output and completed the final calculating of accumulation correction matrix (matrix) " correction ".The figure shows this system the cumulative effect of inaccuracy (as cited in appendix) likely.

Fig. 5 shows frame " state ", and wherein, stability inspection is carried out in " statistics " frame, and in " fuel ratio " frame, calculates as the fuel ratio in equation 4." statistics " frame of can resetting during one or more in meeting the following conditions:

Regeneration un-activation

Do not meet stability condition

Successfully obtain

In Fig. 6, calculate moving average and the mobile standard deviation of extraction flow (EGF), engine speed (n) and engine loading (tqi_sp).Input " Rst " above-mentioned all six calculating of resetting.Extraction flow calculates the evaluation for stability of period.Engine speed and load calculation are for the calculating of correction matrix.Yet, for example can implement different combinations, to complete stability inspection and/or finally to be revised (, can evaluate stability by inspection engine speed and load, and can calculate and revise based on extraction flow).

In Fig. 7, calculate the ratio of open loop fuel and total fuel.Yet when the quality of data promotes until the end (when temperature approaches its target) in success cycle, mean value can be weighted until the end in cycle.Curve " weighted mean value " depends on average extraction flow, because signal approaches the time constant that the speed of its target depends on this system, and finally depends on extraction flow.

In Fig. 8, embedded Matlab code obtains based on nearest the calculating that engine speed in the cycle and engine loading statistics are carried out binary normal distribution.This distributes centered by mean speed and load, and its standard deviation is corresponding to the standard deviation of this rotating speed and load.

example

Real driving cycle is supplied with in the described Simulink model of upper joint.

Fig. 9 shows the recorded speed of a motor vehicle, engine speed, motor indication torque and has described the extraction flow calculating.The first portion in cycle has the operator scheme of more transition, and rear portion has more stable character.Can expect, in the decline in cycle, can fulfil more frequently and obtain stability inspection.

In Figure 10, more predetermined DPF target and actual temperature, can describe error (and being used by closed loop control) between the two below, and the most at last between open loop fuel and total fuel relatively for fuel corrected Calculation.

In Figure 11, can see that equilibrium condition is in work.The moving average that top line 20 is extraction flow, bottom line 22 is mobile standard deviation.Another line 24 is the maximum threshold value that allows standard deviation.If mobile standard deviation surpasses the maximum standard deviation that allows, reset and calculate and timer 26.When standard deviation keeps below threshold value and timer and reaches stand-by period 28 of calibration, carry out " obtaining " and same replacement calculated.

Figure 12 shows the output of model.This curve illustrates the fuel correction of calculating as equation (4), and each in obtaining all means that a period of time internal stability is satisfactory.Just as expected, part in the back, obtains and can occur more frequently and they are all very similar.It should be pointed out that these corrections only calculate, but do not feed back to real system.This is to calculate to revise still to exist the reason of error and reduction value not to converge on 1 reason afterwards.

Therefore, embodiments of the invention continue to improve the regenerability of following regeneration based on historical data.

Embodiments of the invention provide Adaptable System, and its performance correction open loop fuel charge based on this system when previous or current regeneration is calculated.

appendix-model description based on Simulink

Output:

Input:

Calibration table:

In accompanying drawing, some description of symbols are as follows:

(1) in Fig. 2 and Fig. 3,

" FQD_DSI_RGN_FUEL_ATM_TRIM_APM (mg/s) " is fuel charge correction (finishing), and its unit is mg/s.

" FQD_DSI_RGN_FUEL_ATM_TRIM_BPY (Nm) " is the breakpoint of the y axle of FQD_DSI_RGN_FUEL_ATM_TRIM_APM figure, represents moment of torsion, and its unit is Nm;

" FQD_DSI_RGN_FUEL_ATM_TRIM_BPX (rpm) " is the breakpoint of the x axle of FQD_DSI_RGN_FUEL_ATM_TRIM_APM figure, represents engine speed, and its unit is rpm;

(2) in Fig. 9 and Figure 10, x axle represents the time, and unit is s.

(3) in Figure 11, x axle represents the time, and unit is s; Y as follows axle unit is relevant to curve 20,22,24,26,28:

The moving average of 20--extraction flow (kg/h);

The standard deviation of 22--extraction flow (without unit);

24--standard deviation threshold method (without unit);

26--clock (s);

28--time threshold (s).

(4) in Figure 12, x axle represents the time, and unit is s, y Zhou Wu unit.

(5) in Fig. 9:

" IN_Vehicle_speed(km/h) " the expression speed of a motor vehicle, the km/h of unit.

" Vehicle speed " represents the speed of a motor vehicle,

" Engine Speed " represents engine speed,

" Engine Torque " represents Engine torque,

" Exhaust Gas Flow " represents extraction flow.

(6) in Figure 10:

" pFlt_mfFuOplFiILim_tCtlOxC (g/s) " represents open loop and total fuel (OL and Total Fuel), and unit is g/s

" pFlt_tPFltDes " represents predetermined dpf temperature (Pre-DPF Temperature)

" OL and Total Fuel " represents open loop and total fuel.

" Pre-DPF Temperature " represents predetermined dpf temperature.

(7) in Fig. 4:

" fon " expression " connection of fuel on(fuel) "; " y " represents the output of simulink unit.

Claims (15)

1. in a method for the spreadable life of the motor that comprises exhaust chien shih particulate filter regeneration, described method comprises:

Implement the first regeneration event, described enforcement the first regeneration event comprises step:

(a) estimation need to be added to described exhaust to reach the fuel flow rate of target temperature;

(b) with described fuel flow rate, in described exhaust, add fuel;

(c) burn at least a portion of the fuel in described exhaust to increase the temperature in described exhaust;

(d) monitor the temperature in described exhaust and itself and described target temperature are compared to determine error amount; And

(e) the described error amount of determining in step (d) is stored in storage device; Implement the second regeneration event, described enforcement the second regeneration event comprises step:

(f) adopt the error amount implementation step (a) of storage to improve being added to described exhaust to reach the estimation of the fuel flow rate of described target temperature.

2. method according to claim 1, wherein, the estimation in step (a) is calculated based on open loop, and the parameter adopting based on present engine operating conditions is calculated in described open loop.

3. method according to claim 1 and 2, wherein, step (f) comprises to be determined in order to improve the fuel correction factor to fuel flow rate estimation.

4. according to method in any one of the preceding claims wherein, wherein, in step (d), described error amount obtains from closed loop elements.

5. according to the method in any one of claims 1 to 3, wherein, in step (d), the error amount that described error amount obtains after carrying out open loop control obtains.

6. according to method in any one of the preceding claims wherein, wherein, described storage device is nonvolatile memory.

7. according to method in any one of the preceding claims wherein, wherein, the storage time of described error amount is at least one day.

8. according to method in any one of the preceding claims wherein, wherein, described particulate filter is that diesel soot filter and described motor are diesel engine.

9. according to method in any one of the preceding claims wherein, wherein, in step (d), the temperature of monitoring is particulate filter temperature.

10. according to method in any one of the preceding claims wherein, be included in step (f) before and at least during step (c), carrying out stability inspection.

11. methods according to claim 10, wherein, described stability inspection is included in moving average and the mobile standard deviation of monitoring extraction flow during step (c), if described mobile standard deviation keeps below calibration threshold value in alignment time section, described error amount is stored and uses in step (f) in step (e), and if described mobile standard deviation surpasses described threshold value, described error amount is not used in step (f).

12. according to method in any one of the preceding claims wherein, and wherein, the described error amount using in step (f) is added to the open loop element of described calculating to increase the estimation quality to needed described fuel flow rate.

13. according to method in any one of the preceding claims wherein, wherein, motor mean speed and load and their standard deviation are used to calculate the shape of revising, and wherein two variablees are used to characterize engine working point, correction figure is calculated as binary binomial distribution, centered by mean speed and POL and their standard deviation along axis.

14. according to claim 3 or take claim 3 as quote basis arbitrary aforementioned claim described in method, wherein, in step (f), based on following equation, determine described fuel correction factor:

$\mathrm{fuel}\_\mathrm{cor}={\∫}_{t_1}^{t_2}\frac{{\stackrel{\·}{m}}_{\mathrm{Fu}}\left(\mathrm{OL}\right)+{\stackrel{\·}{m}}_{\mathrm{Fu}}\left(\mathrm{CL}\right)}{{\stackrel{\·}{m}}_{\mathrm{Fu}}\left(\mathrm{OL}\right)}\mathrm{dt}.$

15. according to claim 5 or take claim 5 as quote basis arbitrary aforementioned claim described in method, wherein, in step (f), based on following equation, determine described fuel correction factor:

$\mathrm{fuel}\_\mathrm{cor}={\∫}_{t_1}^{t_2}\frac{{\stackrel{\·}{m}}_{\mathrm{Fu}}\left(\mathrm{OL}\right)+{\stackrel{\·}{m}}_{\mathrm{Fu}}\left(\mathrm{Error}\right)}{{\stackrel{\·}{m}}_{\mathrm{Fu}}\left(\mathrm{OL}\right)}\mathrm{dt}.$

Images