EN_Challenger6 Injec..
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1. SPECIFIC PREPARATION FOR TURBO ENGINES WITH BANG BANG The ECU does not make the bang bang during all the phase of the self learning in the maps for which you inserted a column 0 which gives the working in bang bang this column 0 is simply not used see the file Atmo Pressure rpm turbo and bang bang for details You do not thus need to modify your bang bang tunings except for the injection time map and for it only on which you have to remove the column of load 0 to make the self learning VI PREPARATION OF THE IGNITION ADVANCE MAP Remind you that for the tuning of the ignition advance map it is necessary to leave an advance under estimated and to raise back then the advance if the engine allows it to obtain the desired torque Before launching the learning of I T do not hesitate has to decrease the advance of several degrees you will put them back later when you will have a correct richness Page 7 on 13 Injection self learning Challenger6 Page 8 on 13 Injection self learning Challenger6 LAUNCHING THE SELF LEARNING One activated the Lambda sensor equipping the engine the functions of self learning become accessible Functions of start up of the self learning is generated from popup menu obtained by a right click on the system state of the machine System menu the Ist line below the name of the machine Winjall File Preferences Help MACHINE 1 ey Throt Diagnostic management E Fly Machine configura2. RUN LEARNING The self learning is made only when the PC is in communication with the ECU If you stop Winyjall the filling of the injection time map by the learning self is stopped too HI ACTIVATION OF THE MEASUREMENT OF RICHNESS As this self learning uses Lambda sensors it is necessary having installed the sensors on the engine to activate the sensor measurement This activation is made by means of the function of configuration of inputs described in detail in the file Inputs configuration Winjall Ale Preferences Help fl Throtoe Dlagnostic management ca e Flynn Machine configuration display fee Machine initialisation settings Machine inputs setting Stat Machine calibration settings Engine management configuration Eng Auxiliary CAN bus Engine rpm sensor type Eng Self learning Top Dead Center Reference M Ignition advance Ignition coil load time tuning Injection time Auxiliary commands Activate then the measure of richness see file Use of Lambda sensor Engine temperature C Air intake temperature C Engine richness Gear position Sequential gearbox switch Race configuration switch Mult_4 ng pe pe gea MEASUREMENT ACTIVATION Measurement activated Once activated the Lambda sensor present on the engine the functions of self learning become accessible Page 4 on 13 Injection self learning Challenger6 PRELIMINARY TUNINGS IN THE S
3. be big but it is essential to prepare it with attention Use the pop up menu of this map to modify the number of lines and columns oe ee LINE SCALE Copy data COLUMN SCALE Paste data 2 CTE Read data file Save data file Map specific editing Edit data texts Data state display Reduce this unit V PREPARATION OF THE INJECTION TIME MAP You have to give at first the shape wished to the injection time map that is create the number of lines and columns wished with the points of rpm and load desired in scales Page 6 on 13 Injection self learning Challenger6 21x Injection time calculation Base injection time calculation diplayed in milliseconds or crankshaft degrees LINE SCALE tandard interpolation tandard interpolation Engine rpm rpm ntake pressure bars 600 2 420 3 454 4 408 5 440 6 484 7 522 8 548 9 900 2 702 3 776 4 852 5 900 6 962 8 004 9 036 10 1300 3 064 4 162 5 248 6 330 7 418 8 432 9 434 10 1700 3 270 4 412 5 552 6 644 7 734 8 774 9 766 10 2200 3 432 4 630 5 804 6 952 8 062 9 126 10 154 11 2700 3 498 4 710 5 916 7 090 8 230 9 334 10 390 11 3200 3 560 4 778 6 022 7 214 8 388 9 522 10 614 11 3800 3 658 4 878 6 168 7 358 8 558 9 742 10 844 11 4400 3 740 5 008 6 324 7 510 8 738 9 962 11 066 12 5000 3 816 5 134 6 480 7 708 8 962 10 204 11 320 12 5600 3 908 5 290 6 622 7 890 9 174 10 408 11 582 12 6300 3 990 5 390 6 754 8 076 9 372 10 612 11 790 12 7000 4
4. distributed in this pack you have to comply with the regulations for use and the licence you have accepted when installing it on your computer ID TUNING PACK DOCUMENTATION This documentation version has been specifically upgraded for the Tuneware Challenger6 versions distributed from August 21 2011 notably throttle rpm version 1 00 pressure rpm version 1 00 These Tuneware versions only work with the Winjall V5 00 version or a later one which also requires a XP Vista or 7 or any later version of the Windows operating system of the Microsoft Corporation HD WARNING The CHALLENGER6 ECUs are meant for racing cars boats or bikes and not for any other purpose Consequently the softwares to be found in this pack are for racing use only and are not meant to match the emissions standards required for standard or road cars Remember it mustn t be used on open roads as it does not comply with road regulations Page 2 on 13 Injection self learning Challenger6 PRINCIPLES The self learning of the injection time base map allows a speed up of the engine tuning When the ECU is provided with a Lambda sensor it is able to read the richness of the engine By this means it can dynamically make corrections of the injected fuel quantity to maintain the richness to a given target to see file Use of Lambda sensor make a self learning of the injection time base map according to the given map of richness target I
5. o B 0 390 0 480 0 565 0 645 0 720 0 790 0 855 0 915 0 970 1 020 98 229 92 655 82 623 73 529 66 012 59 770 64 394 68 805 72 207 73 529 88 554 92 655 88 554 80 332 72 207 65 182 62 928 68 805 74 973 80 332 82 623 92 655 98 229 92 655 82 623 73 529 66 012 65 182 72 207 80 332 88 554 92 655 92 655 98 229 92 655 82 623 73 529 66 012 66 012 73 529 82 623 92 655 98 229 92 655 98 229 92 655 82 623 73 529 66 012 65 800 12 20 80 332 88 554 92 655 88 554 92 655 88 554 80 332 72 207 73 529 73 188 71 894 74 973 80 332 82 623 92 655 98 229 92 655 82 623 80 332 82 623 82 018 79 808 74 599 72 207 73 529 88 554 92 655 92 655 88 554 88 554 92 655 91 524 87 678 79 808 71 894 66 012 92 655 98 229 98 229 92 655 92 655 98 229 96 638 91 524 82 018 73 188 73 529 88 554 92 655 92 655 88 554 88 554 92 655 91 524 87 678 79 808 80 332 82 623 88 554 85 309 82 623 82 018 88 554 92 655 88 554 85 309 85 309 88 554 92 655 92 655 88 554 80 332 84 593 92 655 98 229 92 655 82 623 88 554 92 655 98 229 88 554 85 309 82 623 82 018 88 554 92 655 88 554 85 309 85 309 88 554 92 655 Here is an example of quality cartography while the learning is in progress You access to the learning quality map in the Injection time pages once the Lambda sensor is activated see lower Page 3 on 13 Injection self learning Challenger6 _ Base time A Injection time 7 Sef learning L Engine temperature _ Air intake temperature ii _ Atmospheric pressure ID
6. 030 5 436 6 808 8 152 9 452 10 700 11 898 13 gt Interpol Validate Cancel Insert before Suppress Selection of ECU interpolation method for this map ECU interpolation type If you create new lines or columns use the interpolate function to fill these lines or columns not to leave with null I T in the map see user s manual of Winjall For turbo engines correctly set the column of maxi pressure until which the engine is going to work In throttle rpm the column of maxi throttle opening is set as usual towards 950 For the line of maxi rpm set the rpm some ten rounds below the rpm limiter INJECTION TIME PREPARATION Do not forget that a wideband Lambda sensor cannot measure more than 1550 thousandth of richness 0 645 Lambda that is if the injection time map with which you start has I T more than 1 5 times than what requires the engine in touch with the injectors flow the sensor is going to saturate and certainly to indicate an error A 0 1 volt Lambda sensor cannot meanwhile measure more than 1300 thousandth of richness 0 77 Lambda that is if the injection time map with which you start has I T more than 1 3 times than what requires the engine in touch with the injectors flow the sensor is going to saturate and specify a value that can be aberrant The self learning on these extremely rich points will not be possible You will track down easily these points because the engine is going to smoke like a truck
7. ELF LEARNING The self learning of the injection time requires a preliminary preparation of the tunings of the ECU Generally speaking all the functions of the ECU have to be pre adjusted so that the engine can work correctly during the self learning Think that the self learning which the ECU is going to make needs a correct engine working as if you made the tuning of the injection map yourself Here is what it is advisable to look particularly D DECELERATION CUTOFF During the self learning it is better to deactivate the deceleration cutoff It allows the ECU to learn the injection times in the smallest loads even to average and high rpm what will allow you more effective reactions of the engine during re accelerations However if you execute the self learning on private track by driving the vehicle keep in mind that the engine brake is considerably decreased Deceleration cutoff setting GENERIC MACHINE 1 x Engine deceleration cutoff selection m ECTION g NO CUTOFF INJECTION IGNITION T INJECTION IGNITION i ID RPM LIMITER Deceleration cutoff type Set the rpm limiter slightly higher than that it will have to be normally so that the ECU can measure and calculate the good injection times up to the highest rpm Deactivate the launch limiter HD LIMITS OF RICHNESS CORRECTION The self learning does not uses of the software switch of richness correction permission because the self learning is no
8. Injection self learning Challenger6 Release V1 00 21 08 2011 http www skynam com Machine management Injection self learning Challenger6 Skynam reserves the right to make changes corrections modifications improvements to this document to products and to the services which he describes at any time and without notice preliminary No part of the documents may be reproduced or transferred whatever the reason or the means used whether mechanical or electronic without prior authorisation from Skynam Skynam s general sales conditions are fully applicable WINDOWS is a Microsoft Corporation registered trademark The WINDOWS logo is a Microsoft Corporation trade mark Page on 13 Injection self learning Challenger6 OVERVIEWS D WINJALL SOFTWARE FOR ECUs TUNING The Challenger6 ECU tuning pack is supplied with accompanying of the program Wingall It is subjected to the same rules of use and license The Winjall program requires a license of use In its complete shape this license is established by a file license and a material dongle key To make access to Challenger6 ECUs easier this pack contains a licence made of one single file without a dongle This licence gives you access to the main tuning functions for Challenger6 ECUs However to have access to the complete features it is necessary to obtain with the Company Skynam a complete license Though it is possible to make copies of the Winjall software
9. T map decrease the by hand the I T and decrease the corresponding zone of the quality map below 50 ZONES WITH BAD RICHENESS If when the self learning is ended and when you have adjusted the accelerating pumps there are still zones in which the engine has not a good richness it is mostly that you miss lines of rpm in the injection map It occurs generally on the strongly developed engines which have sudden rise of torque and or on the engines which have resonances in the intake manifold So that these engines can be well tuned it is needed an important number of lines at the level of these rough modifications of engine working for example a line of regime every 250 rpm possibly even more closer so as to allow a big sharpness of regulation Note it is absolutely useless and even harmful to position a big number of lines of rpm and columns of load everywhere in the map It must be made only on the fast modifications of engine working To add lines of rpm or in an equivalent way columns of load without that the self learning forces you to redo all the learning 1 Save your Tuneware to be able to return to the point of current tuning in case of error 2 Create your lines and your columns in the injection time map by means of the function of map specific edition see higher the preparation of the injection map Make these lines of rpm or columns of load be filled by Winjall by using the function of interpolation of the specific edit
10. The self learning is made only when the PC is in communication with the ECU If you stop Winjall the filling of the injection time map by the self learning is stopped too Page 10 on 13 Injection self learning Challenger6 SELF LEARNING USE METHOD D RUN OF THE SELF LEARNING When you launch the self learning the ECU waits that the conditions of engine working are favorable enough to fill its map of I T 1 If the measures of throttle position or of Lambda sensor are in error the learning is not made 2 As long as the procedure of engine start enrichment is in progress the learning is not made 3 As long as the lambda sensor is not warm the learning is not made 4 In the phases of unlooping of the Lambda sensor the learning is not made These phases are looping forbidden by the motorist engine rpm lower than rpm limit of richness correction position pedals lower than position limit of richness correction engine temperature lower than temperature limit of richness correction injection stopped on one or several cylinders deceleration cutoff rpm limiter ignition stopped on one or several cylinders deceleration cutoff rpm limiter accelerating pump in action gearshift ID STATE OF THE SELF LEARNING The ECU displays on the page of the quality map of learning the state actual of the learning Self learning state Value State State of injection self learning WAITING OFF self learning disabl The possible states
11. are OFF the function of self learning is not launched WAITING the function of self learning is launched but the conditions of calculation are not gathered for example Lambda is unlooped ACTIVE the function of self learning is launched and the calculation is in progress RECORD the function of self learning is launched a calculation was made and its result is being recorded in the injection time and the learning quality maps In normal operation of learning the state passes constantly from ACTIVE currently measuring to RECORD currently recording If the state of the learning stays on WAITING it is because a condition to make the measure is not present See for example on the same page the state richness looping Richness correction fast help alue State Lambda looping state HEAT HEATING LOOPWAIT LOOPING ERROR Richness target 1100 Engine richness target richness in thousandths or Lambdi rs Bank 1 injection time richness correction 1 000000 Richness ca Page 11 on 13 Injection self learning Challenger6 HD DRIVING OF THE SELF LEARNING LIMIT LAMBDA FONCTIONMENT Do not forget that a wideband Lambda sensor cannot measure more than 1550 thousandth of richness 0 645 Lambda and that a 0 1 volt sensor cannot measure more than 1300 thousandth The self learning on these extremely rich points will not be possible Report to lower chapter Self learning problems to solve these problems ADVICES FOR A GOOD USE T
12. ion see user manual of Winjall 3 Create the same lines of rpm and columns of load in the learning quality map but leave the quality to 0 on these new lines and columns 4 On lines and columns which surround the new lines and the columns created in the quality map decrease widely the quality of learning at least below 50 5 Restart the learning by choosing the option Continue learning 6 Run on the engine on these zones of low quality SETTING POINTS MANUALLY During the learning you can modify points of injection time or quality map manually but if you modify points of I T and that the learning estimates that the quality of the point which he can give is better it is going to rewrite on these points behind you If you want to fix values definitively to points of I T set to 100 the quality of the corresponding points in the quality map Page 13 on 13 Injection self learning Challenger6
13. k over zone 5 By loading a little more the engine loaded in the test bench or on tracks or on the roll dyno in the vehicle make learn the medium loads by stages by beginning from the low rpm until the high rpm 6 By loading the engine make learn maxi loads by stages by beginning from the low rpm until the high rpm 7 The learning can be considered as finished when the majority of the quality map reaches 96 IV AFTER THE SELF LEARNING Once ended the self learning it will still remain for you 1 To make the tuning of the accelerating pumps either by working with their coefficient or by modifying directly their maps 2 To verify the quality of the warm start by possibly manually modifying the first line of low rpm of injection time map 600 rpm and lowers 3 To work your ignition advance map 4 Having let the engine cool down some hours work the cold start by modifying coefficient of cold enrichment or directly the maps of enrichment of cold start starter and rise in temperature Page 12 on 13 Injection self learning Challenger6 V SELF LEARNING PROBLEMS TOO RICH ZONES SATURATE THE LAMBDA If your map of start is far too much rich on some points you will obtain generally two reactions the wideband Lambda sensor is going to pass in error or the 0 1 volt sensor will gibe aberrant values the engine is going to have nonstop knocks and can not cross these points of map Examine then the zone concerned by the I
14. o obtain a fast self learning here are some advices of use of the engine Display the page of display of the learning quality map If you run the self learning by driving in the vehicle on private track use the highest possible gear position to reach the zone of the map which you want to make learn It is often impossible to run the engine in certain zones of the map as the strong loads with very low rpm The self learning owns capacities of extrapolation to fill the points where it cannot go and can fill all the same the map in these zones with a good quality note Remain stable with the throttle because abrupt movements prevent the learning You can return several times on points already learnt to improve their quality note but it is better to make learn several different zones and return there then than staying for a very long time on the same zone to try to obtain to it a very high quality at once 1 Start the engine and make it warm to small rpm and at low load on 1500 2000 rpm 2 When the engine and Lambda are warm to launch the self learning 3 In neutral gear without load accelerate the engine to reach the high rpm during some seconds until the quality of the zone of the engine cursor cells written in red rises Decrease a little the rpm by loosening the accelerator and begin again on the a little lower rpm zone Make learn in this way all the small loads by coming down towards the tick over 4 Make learn the tic
15. t a correction of richness but a calculation of the injections times to be put in the basic map of the injection times Max richness correction Richness max lean correction WOYSSO0RF Sets the richness injection time correction band and limits proble Richness max rich correction 1 150024 Sets the richness injection time correction band and limits probler On the other hand it takes into account limits imposed by the motorist on the richness looping see file Use of the Lambda sensor Page 5 on 13 Injection self learning Challenger6 the minimum load the minimum rpm the minimum engine temperature below which the richness looping must not be made Min throttle for richness correction Throttle position below which no injection time correction by Lambda sensor is allc Min rpm richness correction 0 RPM below which no injection time correction by Lambda sensor is allowed Min engine temperature richness correction 80 Engine temperature below which no injection time correction by Lambda sensor is IV PREPARATION OF THE RICHNESS TARGET MAP It is this map which pilots the learning of the I T Fill this map carefully according to the richness that you want to get for your engine For example in richness display richness in thousandths or Lambda in units Standard interpolation Standard interpolation 1000 3 000 mr 1000 1100 1150 1500 1100 1200 1200 8000 1150 1200 1250 This map does not need to
16. t is strongly advised to use Wideband Lambda sensors with a module interface of specific electronic conversion of the sensor These modules are able of measuring a very important range of richness quickly and precisely Skynam recommends the modules DigiLSU 01 which were tested for a long time and have given the proof of their high precision and quality of manufacture They must be used with Lambda Bosch LSU 4 9 sensors However it is possible to use also 0 1 volt 4 wire Lambda sensors if it is in perfect state if possible new D AUTO NOTATION OF THE LEARNING QUALITY To make its learning of injection time the ECU owns a map added to the cartography of injection time with the same number of lines and columns in which it notes the quality of every point of the injection time map with a value going from 0 to 100 This map is called quality map of self learning During the self learning every time the ECU 1s going to write a value in the injection time map it also writes the estimated quality of this point We can consider that the self learning is correct when the majority of the points of the quality map indicate a value of at least 96 We can then stop the self learning and verify if need that the injection times given by the injection time map are correct Injection time self learning quality from 0 to 100 LINE SCALE Engne rpm rpm 0 Standard interpolation COLUMN SCALE Intake pressure bars 1 007 Standard interpolation
17. tion display H pos Machine initialisation settings H Sta Machine calibration settings H Enc Auxiliary CAN bus i Enc p ni D START LEARNING A dialogue box appears which allows to choose the way of launching the learning Injection time self learning calculation COMMANDER44 0000000007 z o x Self Learning state OFF fActual state of injection time self learning Continue Learning Stop Learning START LEARNING This launches the learning from the beginning Any previous learning is cleared and the learning quality map is set back to 0 CONTINUE LEARNING This continues the learning at the stage where it was previously stopped If the quality map has no same shape as the injection time map the same number of line and columns this choice is not accessible It happens for example when we added or remove lines and columns to the injection time or quality map since the last learning STOP LEARNING This stops the learning if it is in progress and clears the dialog box To click X at the top right produces the same effect as the button of Stop learning the learning is stopped and the dialog box disappears EXECUTION OF THE LEARNING Once launched the learning it is possible to minimize this dialog box to icon in the taskbar of Windows by clicking on the at the right top It allows to free the screen without stopping the learning Page 9 on 13 Injection self learning Challenger6 ID RUN LEARNING
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