Logged average LTFT and STFT correction are fitted to your current MAF scaling and new scaling is suggested.
\
8 |
The Correction Error is calculated as LTFT + STFT per cell based on how far your data point is from the cell. The closest cell is determined by lookup in the original MAF scale table using (load * rpm / 60.0) MAF value.
\
9 |
The Total Correction % is then calculated for each cell as average of mean and mode of Correction Error values.
\
10 |
The correction will only be applied to cells where count of corrections is more than the cell hit count specified in settings.
\
11 |
The corrected g/sec is calculated from the Total Correction % and the current g/sec as current_gsec * ((tot_corr% / 100) + 1).
\
12 |
Also, please note that collected data and correction applied may be greater than the full MAF scaling voltage and thus several of the first table cell would be uncorrected. In this case the first calculated Total Correction % value is applied to all cells prior to it except the first cell.\
13 |
\
14 |
Slope line is a line of MAF Curve slope values. Slope value is a number which is used to indicate the steepness of a curve at a particular point. Slope value for MAF Curve is calculated between each 2 points of the curve as: \ 76 |
slope = (y2 - y1) / (x2 - x1)
The tool should work for Load Comp table tuning based on Manifold Pressure as well as Per-Cylinder Compensation based on Injector Pulse Width as long as proper params are logged in proper units (see the note in Usage section).\ 6 |
The tool is for adjusting Load Compensation table based on an adjustment which is calculated as a average between mean and mode of AFR error % values for a specific cell.
\
8 |
The correction will only be applied to cells where count of corrections is more than the cell hit count specified in settings.
\
9 |
The logic is as follow:
\
10 |
Caclulate AFR error % for each row in a log as: \ 11 |
AFR error % = LTFT + STFT\ 14 |
Get per cell log data samples by finding nearest cell based on RPM and Manifold Pressure. If sample set is less than the cell hit count - discard it.\ 16 |
For each sample set with count more than the specified cell hit count calculate mean value and mode value for AFR error %. \ 17 |
Calculate AFR error% for cell as: \ 18 |
cell_error = (err_mean + err_mode) / 2\ 21 |
Calculate correction for cell as: \ 23 |
cell_corr = 1 + cell_error/100\ 26 |
Calculate new cell value as: \ 28 |
Table values as ratio (EcuTek):\ 29 |
new_val = cell_corr * orig_val\ 32 |
Table values as % from 100 (RomRaider):\ 34 |
new_val = cell_corr * (100 + orig_val) - 100\ 37 |
scalingrpn = x,760,-,0.01933677,*\ 46 |
The tool is to help in analyzing the log data and visualizing data distribution by applying different statistics methods and filters.\ 7 |
The 'Log Replay' functionality (map tracing) was added to help in analyzing the log data and visualizing data \ 8 | distribution by interpolating value from 3D table, highlighting cells used for value interpolation, and marking \ 9 | the most significant cell.\ 10 |
The WOT Pulls tab is added based on suggestion from covertrussian to be able to look at mutiple WOT pulls from the same or different files.\ 11 |
The tool displays data in a table format, allows single column filtering, and displays data curves based on selected columns.\ 13 |
The tool is for adjusting MAF IAT Compensation table based on an adjustment which is calculated as a average between mean and mode of AFR correction values for a specific cell.
\
7 |
The correction will only be applied to cells where count of corrections is more than the cell hit count specified in settings.
\
8 |
The logic is as follows:
\
9 | <>Calculate AFR error correction ratio for each row in a log as: \
10 |
CL corr = (100 + LTFT + STFT) / 100\ 13 |
OL corr = (AFR / ((100 - (LTFT + STFT)) / 100)) / ECU Target AFR\ 14 |
Get per cell log data samples by finding nearest cell based on IAT and MAF. If sample set is less than the cell hit count - discard it.\ 16 |
Calculate cell correction as: \ 17 |
cell_corr = (corr_mean + corr_mode) / 2\ 20 |
Calculate new cell value as: \ 22 |
Table values as ratio (EcuTek):\ 23 |
new_val = cell_corr * orig_val\ 26 |
Table values as % from 100 (RomRaider):\ 28 |
new_val = cell_corr * (100 + orig_val) - 100\ 31 |
The tool is to help merging and fitting Open Loop and Closed Loop generated curves or just certain parts of the curve with at least 10 points. \ 5 |
Please keep in mind that the tool simply applies fitting algos (none of which were specifically customized for MAF curve) for a best fitting of generated curve points (voltage, g/s) thus there is no guarantee that the fitted curve would make the best MAF curve.\ 6 |
This tool can also be used as pure curve fitting/smoothing if the same MAF curve is pasted in OL and CL tables.\ 7 |
The logic is as follow:
\
8 |
The g/s values from Closed Loop curve are taken if voltage value for the point is less than or equal to the value specified in "CL Max V" text box. \ 9 | In the same manner g/s values from Open Loop curve are taken if voltage value for the point is greater than or equal to the value specified in "OL Min V" text box. \ 10 | All the g/s values for points where voltage falls in between the "CL Max V" and "OL Min V" will be calculated as average of CL/OL g/s values. \ 11 | If "Fitting Algo" is left as "Auto Select"tThe program will run the curve through all defined fitting algorithms and pick the best fit \ 12 | (A measure of "goodness of fit" where 1.0 is best. Approaches R^2 if the number of points is much larger than the number of fit parameters. \ 13 | For power, exp by linear regression and 'Rodbard NIH Image', this is calculated for the fit actually done, not for the residuals of the original data). \ 14 | However you can change the algo selection and see if anything will provide the fit you prefer. \ 15 |
The tool is about changing the MAF scale but keeping the curve the same. As with all mapping it's a resolution trade off. \ 7 | The larger the scale, the less accurate that it is. If you're NA, the likelihood that the maximum voltage you are logging \ 8 | at max RPM is little over 4.1/4.2v. Therefore the scale going all the way to 5v is a waste of potentially better resolution. \ 9 | The same applies to several points at the start of the curve. You can only use the same amount of data points so by closing \ 10 | the gaps, you're improving the accuracy due the way the ECU interpolates the cells. So by lowering maximum V value and removing \ 11 | some unused V down low the new scale increases resolution for those cell where difference between points starts increasing and \ 12 | therefore much more accurate.\ 13 |
The logic is as follow:
\
14 |
First the point grater or equal to Min V is found and mid point is calculated between that point and the first point - reference point. \ 15 | This is done in case your MAFv drops into the low range of the MAF scaling, the three points should provide a fair resolution.\ 16 |
Mode of spacing between points is calculated and Max Unchanged value determined as the point after which spacing starts increasing from Mode. \ 17 | The Max Unchanged value though can be reset from suggested by the user.\ 18 |
Once the original MAF scale is pasted the new MAF voltage scale is calculated where first point is unchanged, second point is the mid point between first and third point, \ 19 | third point is point greater or equal to Min V, then original values are copied until Max Unchanged point, and finally rescaled points calculated based on original \ 20 | scaling % increase between sections of two points.\ 21 |
After the new MAF Voltage values are calculated, for each MAF Voltage cell a new GS value is interpolated from the original curve for the new MafV using linear interpolation.\ 22 |
Logged MAF voltage and AFR % error are fitted to your current MAF scaling and new scaling is suggested.
\
8 |
The raw AFR is calculated as wideband AFR / ((100 - (LTFT + STFT)) / 100). The AFR % error is calculated as (raw AFR - interpolated AFR) / interpolated AFR * 100), where interpolated AFR is interpolated from "Primary Open Loop Fueling" table or (raw AFR - ECU Target AFR) / ECU Target AFR * 100) if you log "Commanded AFR" / "Fueling Final Base" and set the "ECU Target AFR" column in settings.
\
9 |
The 'advantage' is that since a lot of the data points are between cells, it distributes the % error between cells based on how far your data point is from the cell value.
\
10 |
Say your maf was scaled like:
\
11 |
MAFv: 0 1 2 3 4 5\ 14 |
g/s: 0 10 20 30 40 50
MAFv: 0 1 2 3 4 5\ 22 |
g/s: 0 2.5 7.5 0 0 0
Slope line is a line of MAF Curve slope values. Slope value is a number which is used to indicate the steepness of a curve at a particular point. Slope value for MAF Curve is calculated between each 2 points of the curve as: \ 87 |
slope = (y2 - y1) / (x2 - x1)
The tool rescales existing 2D/3D tables. \ 7 |
All the calculation are done as real numbers and no rounding is done at any step. The screen though does allow the user to display X/Y-Axis (headers) and data values as integers \ 8 | as well as specify desired decimal precision number.\ 9 |
There are two interpolation methods provided by the program: linear and cubic spline for 2D tables; bi-linear and bi-cubic spline for 3D tables.\ 10 | ECU uses linear/bilinear interpolation, however when rescaling it may make sense to use cubic spline/bicubic spline to smooth the surface as cubic spline \ 11 | interpolation may better match slopes and the concavities of each individual interpolating segment.\ 12 |
If you're not sure which interpolation method to use it is always safe to use linear interpolation. If you're willing to play with the surface and values \ 13 | you can open another instance of the program and try out cubic spline interpolation and then compare values and/or surfaces side by side.\ 14 |
In any case, the rescaled table should be retuned based on new logs collected after rescaling.\ 15 |
The logic is as follow:
\
16 |
If new value for X/Y header cell falls in the range of the current table then new value(s) are interpolated using user selected interpolation method. \ 17 |
If new value for X/Y header cell falls outside of the range of the current table and "extrapolate" checkbox is selected then:\ 18 |
The logic is as follow:
\
8 |
Requested Torque (Accelerator Pedal) table is taken as a base and the resulting table will have the same X and Y Axis\ 9 |
For every value in Requested Torque (Accelerator Pedal) table a new value is being calculated for resulting table.\ 10 |
The calculated value is 2D bilinear interpolation for RPM from Requested Torque (Accelerator Pedal) and calculated ratio of Requested Torque (Accelerator Pedal) to Requested Torque Base (RPM).\ 11 |
The latter ratio is calculated as: \ 12 |
value = RequestedTorque (Accel Pedal) \\ RequestedTorque (RPM)\ 15 |
There are essentially two main functions selectable via a drop down list:\ 6 |
The tool is for adjusting Speed Density VE table based on an adjustment which is calculated as a average of corrections for a specific table cell.
\
10 |
The correction will only be applied to cells where count of corrections is more than the cell hit count specified in settings.
\
11 |
The logic is as follow:
\
12 |
Get per cell log data samples by finding nearest cell based on RPM and Manifold Pressure. If sample set is less than the cell hit count - discard it.\ 13 |
For each sample set with count more than the specified cell hit count calculate average error % value . \ 14 |
Error % for MAF Builder: \ 15 |
error % = (SD - MAF) / MAF) * 100\ 18 |
Error % for AFR Tuner: \ 20 |
error % = (AFR - FFB) / FFB) * 100\ 24 |
error % = LTFT + STFT\ 29 |
For MAF the new VE table value for the cell is set as original cell value - adjustment.\ 31 |
For AFR the new VE table value for the cell is set as original cell value + adjustment.\ 32 |
Logged intake air temperature, intake air volume, manifold absolute pressure and RPM are calculated to generate the volumetric efficiency.\ 10 |
VE calculations are as follow:
\ 11 | Temperature is in Fahrenheit, pressure is in Psi:\ 12 |
\ 15 | ve = (maf / ((map * 6894.76) / ((((iat - 32) / 1.8) + 273.15) * 287.05) * 1000)) / (121.9254 * rpm / 3456 * 0.0283 / 60) * 100\ 16 |\ 17 |
\ 22 | ve = (maf / ((map * 100000) / ((((iat - 32) / 1.8) + 273.15) * 287.05) * 1000)) / (121.9254 * rpm / 3456 * 0.0283 / 60) * 100\ 23 |\ 24 |
\ 29 | ve = (maf / ((map * 1000) / ((((iat - 32) / 1.8) + 273.15) * 287.05) * 1000)) / (121.9254 * rpm / 3456 * 0.0283 / 60) * 100\ 30 |\ 31 |
\ 36 | ve = (maf / ((map * 6894.76) / ((iat + 273.15) * 287.05) * 1000)) / (121.9254 * rpm / 3456 * 0.0283 / 60) * 100\ 37 |\ 38 |
\ 43 | ve = (maf / ((map * 100000) / ((iat + 273.15) * 287.05) * 1000)) / (121.9254 * rpm / 3456 * 0.0283 / 60) * 100\ 44 |\ 45 |
\ 50 | ve = (maf / ((map * 1000) / ((iat + 273.15) * 287.05) * 1000)) / (121.9254 * rpm / 3456 * 0.0283 / 60 ) * 100\ 51 |\ 52 |
Log Parameters\ 57 |
Copy your VVT table and paste into the RPM #1 column (RPM #2 optional). This will leave the RPM Y-Axis values. Click Save RPM Columns button if these \ 68 | will be used for all future uses of this tool.\ 69 |
Click Load Log button and select log file. Select column headers from the log and set the parameters. Note that VVT System #2 is only required if \ 70 | values in RPM #2 column of the main screen.\ 71 |
You can load multiple logs into one comparison, so click Load Log button again and repeat until all logs are loaded.\ 72 |
Click GO button.\ 73 |
The best VE at the RPM axis points are calculated and the corresponding VVT values from the logs are shown in the VVT1 and VVT2 columns.\
74 |
Chart Tab\ 75 |
You can select/deselect viewed pulls using the tick boxes in the left column. Note that this does not affect calculations.\ 76 | VVT1 and VVT2 show the logged angles for the respective VVT system. The angles that correspond to the best VE are shown by \ 77 | the Best VVT line.\ 78 |
The VE chart compares the VE for each pull and also shows the best VE line for reference.\
79 |
3D Chart Tab\ 80 |
X-Axis is RPM
\
81 | Y-Axis is VE
\
82 | Z-Axis is VVT Value
\
83 | Select individual pull from the drop down menu
\
84 | Click on 'View' button to plot data
\ 85 | \ 86 | -------------------------------------------------------------------------------- /src/ij/measure/IJMath.java: -------------------------------------------------------------------------------- 1 | package ij.measure; 2 | 3 | public class IJMath { 4 | 5 | static double A = 0.05857895078654250866288; 6 | static double B = -0.00626245895772819579; 7 | static double C = -0.00299946450696036814; 8 | static double D = 0.289389696496082416; 9 | static double E = 0.0539962589851632982; 10 | static double F = 0.00508516909930653109; 11 | static double G = 0.000215969713046142876; 12 | static double H = -0.000225663858340491571; 13 | static double I = -3.06833213472529049e-7; 14 | 15 | /* This approximation of the error function erf has maximum absolute and relative errors below 1e-12 16 | * Except for low and high x, it is based on the type erf(x) = sgn(x) * sqrt(1-exp(-x^2*f(x)), 17 | * with the function f(x) having a smooth transition from 4/pi = 1.273... at x=0 to 1 at high x */ 18 | public static double erf(double x) { 19 | double x2 = sqr(x); 20 | if (x2 < 1e-8) 21 | return (2/Math.sqrt(Math.PI))*x*(1+x2*(-1./3.+x2*(1./10.))); // Taylor series for low x 22 | double erf = x2 > 36 ? 1 : //the polynomials go crazy for some large x2; erf(6) is 1 - 2e-17, less than ulp from 1 23 | Math.sqrt(1 - Math.exp(-sqr(x*((2/Math.sqrt(Math.PI) - A) + A * 24 | (1 + x2*x2*(B + x2*(C + x2*(H + x2*I)))) / 25 | (1 + x2*(D + x2*(E + x2*(F + x2*G)))) 26 | )))); 27 | return x>0 ? erf : -erf; //could be Math.copySign in Java 1.6 & up 28 | } 29 | 30 | static double sqr(double x) { 31 | return x*x; 32 | } 33 | 34 | } 35 | -------------------------------------------------------------------------------- /testfiles/ThrottleMaps.xlsx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/vimsh/mafscaling/b329e778f629bf942b25ce1e3b3276affa9d989b/testfiles/ThrottleMaps.xlsx -------------------------------------------------------------------------------- /testfiles/mafscaling_table.csv: -------------------------------------------------------------------------------- 1 | 0.8984375,0.9375,0.9765625,1.015625,1.0546875,1.09375,1.1328125,1.171875,1.2109375,1.25,1.2890625,1.328125,1.3671875,1.40625,1.4453125,1.484375,1.5234375,1.5625,1.6015625,1.640625,1.6796875,1.71875,1.7578125,1.796875,1.8359375,1.875,1.9140625,1.953125,1.9921875,2.03125,2.0703125,2.109375,2.1484375,2.1875,2.2265625,2.265625,2.3046875,2.34375,2.3828125,2.421875,2.4609375,2.5,2.578125,2.7734375,2.96875,3.203125,3.4375,3.7109375,3.90625,4.0625,4.296875,4.4921875,4.7265625,5 2 | 0.850000024,1,1.159999967,1.429999948,1.590000033,1.820000052,2.019999981,2.289999962,2.569999933,2.869999886,3.119999886,3.430000067,3.789999962,4.21999979,4.619999886,5.019999981,5.480000019,6.019999981,6.570000172,7.210000038,7.760000229,8.510000229,9.260000229,9.970000267,10.72999954,11.52999973,12.61999989,13.47999954,14.31000042,15.27000046,16.12000084,17.15999985,18.22999954,19.5,20.45000076,21.62000084,22.85000038,24.01000023,25.30999947,26.52000046,27.93000031,29.71999931,32.84000015,40.65999985,49.61999893,64.72000122,80.87999725,103.7600021,124.2099991,141.5899963,169.3099976,197,234.25,290.2600098 3 | -------------------------------------------------------------------------------- /testfiles/polf_table.csv: -------------------------------------------------------------------------------- 1 | ,0.300000012,0.400000006,0.5,0.600000024,0.699999988,0.800000012,0.850000024,0.899999976,1,1.098999977,1.200000048,1.299999952,1.399999976 2 | 800,14.7,14.7,14.7,14.7,13.93777778,12.71351351,12.62818792,12.62818792,12.62818792,12.544,12.544,12.544,12.544 3 | 1000,14.7,14.7,14.7,14.7,13.93777778,12.71351351,12.62818792,12.62818792,12.62818792,12.544,12.544,12.544,12.544 4 | 1200,14.7,14.7,14.7,14.7,13.93777778,12.71351351,12.62818792,12.62818792,12.62818792,12.544,12.544,12.544,12.544 5 | 1600,14.7,14.7,14.7,14.7,13.93777778,12.71351351,12.62818792,12.62818792,12.62818792,12.544,12.544,12.544,12.544 6 | 2000,14.7,14.7,14.7,14.7,13.93777778,12.71351351,12.62818792,12.62818792,12.62818792,12.544,12.544,12.544,12.544 7 | 2200,14.7,14.7,14.7,14.7,13.93777778,12.71351351,12.62818792,12.62818792,12.62818792,12.544,12.544,12.544,12.544 8 | 2400,14.7,14.7,14.7,14.7,13.93777778,12.71351351,12.62818792,12.62818792,12.544,12.46092715,12.46092715,12.46092715,12.46092715 9 | 2600,14.7,14.7,14.7,14.7,13.93777778,12.71351351,12.62818792,12.62818792,12.46092715,12.37894737,12.37894737,12.37894737,12.37894737 10 | 2800,14.7,14.7,14.7,14.7,13.93777778,12.71351351,12.62818792,12.62818792,12.37894737,12.29803922,12.29803922,12.29803922,12.29803922 11 | 3200,14.7,14.7,14.7,14.7,13.93777778,12.71351351,12.62818792,12.544,12.29803922,12.21818182,12.21818182,12.21818182,12.21818182 12 | 3600,14.7,14.7,14.7,14.7,13.93777778,12.71351351,12.62818792,12.544,12.29803922,12.21818182,12.21818182,12.21818182,12.21818182 13 | 4000,14.7,14.7,14.7,14.7,13.93777778,12.71351351,12.62818792,12.544,12.29803922,12.21818182,12.21818182,12.21818182,12.21818182 14 | 4400,14.7,14.7,14.7,14.7,13.93777778,12.71351351,12.62818792,12.46092715,12.21818182,12.13935484,12.13935484,12.13935484,12.13935484 15 | 4600,14.7,14.7,14.7,13.93777778,13.93777778,12.71351351,12.62818792,12.46092715,12.13935484,12.06153846,12.06153846,12.06153846,12.06153846 16 | 4800,14.7,14.7,14.7,13.93777778,13.93777778,12.71351351,12.62818792,12.46092715,12.06153846,11.98471338,11.98471338,11.98471338,11.98471338 17 | 5200,14.7,14.7,14.7,13.93777778,13.93777778,12.71351351,12.62818792,12.37894737,11.98471338,11.90886076,11.90886076,11.90886076,11.90886076 18 | 5600,14.7,14.7,14.7,13.93777778,13.63478261,12.71351351,12.62818792,12.37894737,11.90886076,11.83396226,11.83396226,11.83396226,11.83396226 19 | 6000,13.93777778,13.93777778,13.93777778,13.63478261,13.34468085,12.71351351,12.62818792,12.29803922,11.83396226,11.76,11.76,11.76,11.76 20 | 6400,13.93777778,13.93777778,13.93777778,13.63478261,13.25070423,12.544,12.46092715,12.13935484,11.76,11.68695652,11.68695652,11.68695652,11.68695652 21 | 6800,13.93777778,13.93777778,13.93777778,13.63478261,12.97655172,12.46092715,12.37894737,11.98471338,11.83396226,11.76,11.76,11.76,11.76 22 | 7000,13.93777778,13.93777778,13.63478261,13.25070423,12.8,12.13935484,12.06153846,11.83396226,11.76,11.76,11.76,11.76,11.76 23 | 7200,13.93777778,13.93777778,13.63478261,13.15804196,12.71351351,11.98471338,11.98471338,11.83396226,11.76,11.76,11.76,11.76,11.76 24 | 7400,13.93777778,13.63478261,13.34468085,12.97655172,12.37894737,12.06153846,12.06153846,11.83396226,11.76,11.76,11.76,11.76,11.76 25 | --------------------------------------------------------------------------------