{
  "url": "https://openlegislation.uk/eu-regulation-2008-692/annex-IIIA/appendix-5",
  "json_url": "https://openlegislation.uk/eu-regulation-2008-692/annex-IIIA/appendix-5.json",
  "legislation": "eur/2008/692",
  "legislation_title": "Commission Regulation (EC) No 692/2008 of 18 July 2008 implementing and amending Regulation (EC) No 715/2007 of the European Parliament and of the Council on type-approval of motor vehicles with respect to emissions from light passenger and commercial vehicles (Euro 5 and Euro 6) and on access to vehicle repair and maintenance information (Text with EEA relevance)",
  "legislation_url": "https://openlegislation.uk/eu-regulation-2008-692",
  "path": "annex/IIIA/appendix/5",
  "kind": "appendix",
  "number": "5",
  "heading": null,
  "text": "Verification of trip dynamic conditions with method 1 (Moving Averaging Window)\n1.\nINTRODUCTION\nThe Moving Averaging Window method provides an insight on the real-driving emissions (RDE) occurring during the test at a given scale. The test is divided in sub-sections (windows) and the subsequent statistical treatment aims at identifying which windows are suitable to assess the vehicle RDE performance.\nThe ‘normality’ of the windows is conducted by comparing their CO 2 distance-specific emissions with a reference curve. The test is complete when the test includes a sufficient number of normal windows, covering different speed areas (urban, rural, motorway).\nStep 1. Segmentation of the data and exclusion of cold start emissions;\nStep 2. Calculation of emissions by sub-sets or ‘ windows ’ (point 3.1);\nStep 3. Identification of normal windows; (point 4)\nStep 4. Verification of test completeness and normality (point 5);\nStep 5. Calculation of emissions using the normal windows (point 6).\n2.\nSYMBOLS, PARAMETERS AND UNITS\nIndex (i) refers to the time step\nIndex (j) refers to the window\nIndex (k) refers to the category (t=total, u=urban, r=rural, m=motorway) or to the CO 2 characteristic curve (cc)\nIndex ‘gas’ refers to the regulated exhaust gas components (e.g. NO x , CO, PN)\nΔ difference\n≥ larger or equal\n# number\n% per cent\n≤ smaller or equal\na 1, b 1 coefficients of the CO 2 characteristic curve\na 2, b 2 coefficients of the CO 2 characteristic curve\nd j distance covered by window j [km]\nf k weighing factors for urban, rural and motorway shares\nh distance of windows to the CO 2 characteristic curve [%]\nh j distance of window j to the CO 2 characteristic curve [%]\nh – k severity index for urban, rural and motorway shares and the complete trip\nk 11, k 12 coefficients of the weighing function\nk 21, k 21 coefficients of the weighing function\nM CO2,ref reference CO 2 mass [g]\nM gas mass or particle number of the exhaust component ‘ gas ’ [g] or [#]\nM gas,j mass or particle number of the exhaust component ‘ gas ’ in window j [g] or [#]\nM gas,d distance-specific emission for the exhaust component ‘ gas ’ [g/km] or [#/km]\nM gas,d,j distance-specific emission for the exhaust component ‘ gas ’ in window j [g/km] or [#/km]\nN k number of windows for urban, rural, and motorway shares\nP 1 , P 2 , P 3 reference points\nt time [s]\nt 1,j first second of the j th averaging window [s]\nt 2,j last second of the j th averaging window [s]\nt i total time in step i [s]\nt i,j total time in step i considering window j [s]\ntol 1 primary tolerance for the vehicle CO 2 characteristic curve [%]\ntol 2 secondary tolerance for the vehicle CO 2 characteristic curve [%]\nt t duration of a test [s]\nv vehicle speed [km/h]\nv – average speed of windows [km/h]\nv i actual vehicle speed in time step i [km/h]\nv – j average vehicle speed in window j [km/h]\nv P1 – = 19 km ∕ h average speed of the Low Speed phase of the WLTP cycle\nv P2 – = 56,6 km ∕ h average speed of the High Speed phase of the WLTP cycle\nv P3 – = 92,3 km ∕ h average speed of the Extra High Speed phase of the WLTP cycle\nw weighing factor for windows\nw j weighing factor of window j.\n3.\nMOVING AVERAGING WINDOWS\n3.1.\nDefinition of averaging windows\nThe instantaneous emissions calculated according to Appendix 4 shall be integrated using a moving averaging window method, based on the reference CO 2 mass. The principle of the calculation is as follows: the mass emissions are not calculated for the complete data set, but for sub-sets of the complete data set, the length of these sub-sets being determined so as to match the CO 2 mass emitted by the vehicle over the reference laboratory cycle. The moving average calculations are conducted with a time increment corresponding to the data sampling frequency. These sub-sets used to average the emissions data are referred to as ‘averaging windows’. The calculation described in the present point may be run from the last point (backwards) or from the first point (forward).\nThe following data shall not be considered for the calculation of the CO 2 mass, the emissions and the distance of the averaging windows:\nthe periodic verification of the instruments and/or after the zero drift verifications,\nthe cold start emissions, defined according to Appendix 4, point 4.4,\nvehicle ground speed < 1 km/h,\nany section of the test during which the combustion engine is switched off.\nThe mass (or particle number) emissions M gas,j shall be determined by integrating the instantaneous emissions in g/s (or #/s for PN) calculated as specified in Appendix 4.\nFigure 1\nVehicle speed versus time — Vehicle averaged emissions versus time, starting from the first averaging window\nFigure 2\nDefinition of CO 2 mass based averaging windows\nThe duration (t 2, j – t 1, j ) of the j th averaging window is determined by:\nM CO 2 t 2, j − M CO 2 t 1, j ≥ M CO 2 , ref\nWhere:\nM CO 2 t i,j is the CO 2 mass measured between the test start and time (t i,j ), [g];\nM CO 2 , ref is the half of the CO 2 mass [g] emitted by the vehicle over the WLTP cycle (Type I test, including cold start);\nt 2, j shall be selected such as:\nM CO 2 t 2, j − Δt − M CO 2 t 1, j < M CO 2 ,ref ≤ M CO 2 t 2, j − M CO 2 t 1, j\nWhere Δ t is the data sampling period.\nThe CO 2 masses are calculated in the windows by integrating the instantaneous emissions calculated as specified in Appendix 4 to this Annex.\n3.2.\nCalculation of window emissions and averages\nThe following shall be calculated for each window determined in accordance with point 3.1:\nthe distance-specific emissions M gas,d,j for all the pollutants specified in this annex,\nthe distance-specific CO 2 emissions M CO2,d,j ,\nthe average vehicle speed v – j\n4.\nEVALUATION OF WINDOWS\n4.1.\nIntroduction\nThe reference dynamic conditions of the test vehicle are set out from the vehicle CO 2 emissions versus average speed measured at type approval and referred to as ‘vehicle CO 2 characteristic curve’.\nTo obtain the distance-specific CO 2 emissions, the vehicle shall be tested using the road load settings prescribed in the UNECE Global Technical Regulation No 15 — worldwide harmonised light vehicles test procedure (ECE/TRANS/180/Add.15).\n4.2.\nCO 2 characteristic curve reference points\nThe reference points P 1 , P 2 and P 3 required to define the curve shall be established as follows:\n4.2.1.\nPoint P 1\nv P 1 – = 19 km ∕ h (average speed of the Low Speed phase of the WLTP cycle)\nM CO 2 ,d,P 1 = Vehicle CO 2 emissions over the Low Speed phase of the WLTP cycle × 1,2 [g/km].\n4.2.2.\nPoint P 2\n4.2.3.\nv P 2 – = 56,6 km ∕ h (average speed of the High Speed phase of the WLTP cycle)\nM CO 2 ,d,P 2 = Vehicle CO 2 emissions over the High Speed phase of the WLTP cycle × 1,1 [g/km].\n4.2.4.\nPoint P 3\n4.2.5.\nv P 3 – = 92,3 km ∕ h (average speed of the Extra High Speed phase of the WLTP cycle)\nM CO 2 ,d,P 3 = Vehicle CO 2 emissions over the Extra High Speed phase of the WLTP cycle × 1,05 [g/km]\n4.3.\nCO 2 characteristic curve definition\nUsing the reference points defined in point 4.2, the characteristic curve CO 2 emissions are calculated as a function of the average speed using two linear sections ( P 1 , P 2 ) and ( P 2 , P 3 ). The section ( P 2 , P 3 ) is limited to 145 km/h on the vehicle speed axis. The characteristic curve is defined by equations as follows:\nFor the section ( P 1 , P 2 ):\nM CO 2 ,d,CC v – = a 1 v – + b 1\nwith: a 1 = M CO 2 ,d,P 2 − M CO 2 ,d,P 1 ∕ v P 2 – − v P 1 –\nand: b 1 = M CO 2 ,d,P 1 − a 1 v P 1 –\nFor the section ( P 2 , P 3 ):\nM CO 2 ,d,CC v – = a 2 v – + b 2\nwith: a 2 = M CO 2 ,d,P 3 − M CO 2 ,d,P 2 ∕ v P 3 – − v P 2 –\nand: b 2 = M CO 2 ,d,P 2 − a 2 v P 2 –\nFigure 3\nVehicle CO 2 characteristic curve\n4.4.\nUrban, rural and motorway windows\n4.4.1.\nUrban windows are characterised by average vehicle ground speeds v j – smaller than 45 km/h,\n4.4.2.\nRural windows are characterised by average vehicle ground speeds v j – greater than or equal to 45 km/h and smaller than 80 km/h,\n4.4.3.\nMotorway windows are characterised by average vehicle ground speeds v j – greater than or equal to 80 km/h and smaller than 145 km/h\nFigure 4\nVehicle CO 2 characteristic curve: urban, rural and motorway driving definitions\n5.\nVERIFICATION OF TRIP COMPLETENESS AND NORMALITY\n5.1.\nTolerances around the vehicle CO 2 characteristic curve\nThe primary tolerance and the secondary tolerance of the vehicle CO 2 characteristic curve are respectively tol 1 = 25 % and tol 2 = 50 %.\n5.2.\nVerification of test completeness\nThe test shall be complete when it comprises at least 15 % of urban, rural and motorway windows, out of the total number of windows.\n5.3.\nVerification of test normality\nThe test shall be normal when at least 50 % of the urban, rural and motorway windows are within the primary tolerance defined for the characteristic curve.\nIf the specified minimum requirement of 50 % is not met, the upper positive tolerance tol 1 may be increased by steps of 1 % until the 50 % of normal windows target is reached. When using this mechanism, tol 1 shall never exceed 30 %.\n6.\nCALCULATION OF EMISSIONS\n6.1.\nCalculation of weighted distance-specific emissions\nThe emissions shall be calculated as a weighted average of the windows distance-specific emissions separately for the urban, rural and motorway categories and the complete trip.\nM gas,d,k = ∑ w j M gas,d,j ∑ w j k = u,r,m\nThe weighing factor w j for each window shall be determined as such:\nIf M CO 2 ,d, CC v – j × 1 − tol 1 ∕ 100 ≤ M CO 2 ,d, j ≤ M CO 2 ,d, CC v – j × 1 + tol 1 ∕ 100\nThen w j = 1\nIf\nM CO 2 ,d, CC v – j × 1 + tol 1 100 ≤ M CO 2 ,d, j ≤ M CO 2 ,d, CC v – j × 1 + tol 2 100\nThen w j = k 11 h j + k 12\nwith k 11 = 1/(tol 1 – tol 2 )\nand k 12 : tol 2 /(tol 2 – tol 1 )\nIf\nM CO 2 ,d, CC v – j × 1 − tol 2 ∕ 100 ≤ M CO 2 ,d, j ≤ M CO 2 ,d, CC v – j × 1 − tol 1 ∕ 100\nThen w j = k 21 h j + K 22\nwith k 21 = 1/(tol 2 – tol 1 )\nand k 22 = k 21 = tol 2 /(tol 2 – tol 1 )\nIf\nM CO 2 ,d, j v – j ≤ M CO 2 ,d, CC v – j × 1 − tol 2 ∕ 100\nor\nM CO 2 ,d, j v – j ≥ M CO 2 ,d, CC v – j × 1 + tol 2 ∕ 100\nThen w j = 0\nWhere:\nh j = 100 × M CO 2 ,d, j − M CO 2 ,d, CC v – j M CO 2 ,d, CC v j –\nFigure 5\nAveraging window weighing function\n6.2.\nCalculation of severity indices\nThe severity indices shall be calculated separately for the urban, rural and motorway categories:\nh – k = 1 N k ∑ h j k = u,r,m\nand the complete trip:\nh – t = f u h – u + f r h – r + f m h – m f u + f r + f m\nWhere f u , f r f m are equal to 0,34, 0,33 and 0,33 respectively.\n6.3.\nCalculation of emissions for the total trip\nUsing the weighted distance-specific emissions calculated under point 6.1, the distance-specific emissions in [mg/km] shall be calculated for the complete trip each gaseous pollutant in the following way:\nM gas,d,t = 1000 × f u × M gas,d,u + f r × M gas,d,r + f m × M gas,d,m f u + f r + f m\nAnd for particle number:\nM PN,d,t = f u × M PN,d,u + f r × M PN,d,r + f m × M PN,d,m f u + f r + f m\nWhere f u , f r f m are respectively equal to 0,34, 0,33 and 0,33.\n7.\nNUMERICAL EXAMPLES\n7.1.\nAveraging window calculations\nTable 1\nMain calculation settings\nM CO 2 ref [g]\n610\nDirection for averaging window calculation\nForward\nAcquisition frequency [Hz]\n1\nFigure 6 shows how averaging windows are defined on the basis of data recorded during an on-road test performed with PEMS. For sake of clarity, only the first 1 200 seconds of the trip are shown hereafter.\nSeconds 0 up to 43 as well as seconds 81 to 86 are excluded due to operation under zero vehicle speed.\nThe first averaging window starts at t 1,1 = 0s and ends at second t 2,1 = 524 s (Table 3). The window average vehicle speed, integrated CO and NO x masses [g] emitted and corresponding to the valid data over the first averaging window are listed in Table 4.\nM CO 2 ,d,1 = M CO 2 ,1 d 1 = 610,217 4,977 = 122,61 g ∕ km\nM CO 2 ,d,1 = M CO ,1 d 1 = 2,25 4,98 = 0,45 g ∕ km\nM NO x ,d, 1 = M NO x ,1 d 1 = 3,51 4,98 = 0,71 g ∕ km\nFigure 6\nInstantaneous CO 2 emissions recorded during on-road test with PEMS as a function of time. Rectangular frames indicate the duration of the j th window. Data series named ‘Valid=100 / Invalid=0’ shows second by second data to be excluded from analysis\n7.2.\nEvaluation of windows\nTable 2\nCalculation settings for the CO 2 characteristic curve\nCO 2 Low Speed WLTC (P 1 ) [g/km]\n154\nCO 2 High Speed WLTC (P 2 ) [g/km]\n96\nCO 2 Extra-High Speed WLTC (P 3 ) [g/km]\n120\nReference Point\nP 1\nv P 1 – = 19,0 km ∕ h\nM CO 2 ,d,P 1 = 154 g ∕ km\nP 2\nv P 2 – = 56,6 km ∕ h\nM CO 2 ,d,P 2 = 96 g ∕ km\nP 3\nv P 3 – = 92,3 km ∕ h\nM CO 2 ,d,P 3 = 120 g ∕ km\nThe definition of the CO 2 characteristic curve is as follows:\nFor the section ( P 1 , P 2 ):\nM CO 2 ,d v – = a 1 v – + b 1\nwith\na 1 = 96 − 154 ∕ 56,6 − 19,0 = − 58 37,6 = 1,543\nand: b 1 = 154 – (– 1,543) × 19.0 = 154 + 29,317 = 183,317\nFor the section ( P 2 , P 3 ):\nM CO 2 ,d v – = a 2 v – + b 2\nwith\na 2 = 120 − 96 ∕ 92,3 − 56,6 = 24 35,7 = 0,672\nand: b 2 = 96 – 0,672 × 56,6 = 96 – 38,035 = 57,965\nExamples of calculation for the weighing factors and the window categorisation as urban, rural or motorway are:\nFor window #45:\nM CO 2 ,d,45 = 122,62 g ∕ km\nv 45 – = 38,12 km ∕ h\nFor the characteristic curve:\nM CO 2 ,d,CC v 45 – = a 1 v 45 – + b 1 = 1,543 × 38,12 + 183,317 = 124,498 g ∕ km\nVerification of:\nM CO 2 ,d, CC v – j × 1 − tol 1 ∕ 100 ≤ M CO 2 ,d, j ≤ M CO 2 ,d, CC v – j × 1 + tol 1 ∕ 100\nM CO 2 ,d, CC v 45 – × 1 − tol 1 ∕ 100 ≤ M CO 2 ,d,45 ≤ M CO 2 ,d, CC v 45 – × 1 + tol 1 ∕ 100\n124,498 × (1 – 25/100) ≤ 122,62 ≤ 124,498 × (1 + 25/100)\n93,373 ≤ 122,62 ≤ 155,622\nLeads to: w 45 = 1\nFor window #556:\nM CO 2 ,d,556 = 72,15 g ∕ km\nv 556 – = 50,12 km ∕ h\nFor the characteristic curve:\nM CO 2 ,d, CC v 556 – = a 1 v 556 – + b 1 = − 1,543 × 50,12 + 183,317 = 105,982 g ∕ km\nVerification of:\nM CO 2 ,d, CC v – j × 1 − tol 2 ∕ 100 ≤ M CO 2 ,d, j ≤ M CO 2 ,d, CC v – j × 1 − tol 1 ∕ 100\nM CO 2 ,d, CC v – 556 × 1 − tol 2 ∕ 100 ≤ M CO 2 ,d,556 ≤ M CO 2 ,d, CC v – 556 × 1 − tol 1 ∕ 100\n105,982 × (1 – 50/100) ≤ 72,15 ≤ 105,982 × (1 + 25/100)\n52,991 ≤ 72,15 ≤ 79,487\nLeads to:\nh 556 = 100 × M CO 2 ,d,556 − M CO 2 ,d, CC v – 556 M CO 2 ,d, CC v – 556 = 100 × 72,15 − 105,982 105,982 = − 31,922\nw 556 = k 21 h 556 + k 22 = 0,04 · (– 31,922) + 2 = 0,723\nwith k 21 = 1/( tol 2 – tol 1 ) = 1/(50 – 25) = 0,04\nand k 22 = k 21 = tol 2 /( tol 2 – tol 1 ) = 50/(50 – 25) = 2\nTable 3\nEmissions numerical data\nWindow [#]\nt 1, j [s]\nt 2, j – Δ t [s]\nt 2, j [s]\nM CO 2 t 2, j − Δ t − M CO 2 t 1, j < M CO 2 ,ref [g]\nM CO 2 t 2, j − M CO 2 t 1, j ≥ M CO 2 ,ref [g]\n1\n0\n523\n524\n609,06\n610,22\n2\n1\n523\n524\n609,06\n610,22\n…\n…\n…\n…\n…\n43\n42\n523\n524\n609,06\n610,22\n44\n43\n523\n524\n609,06\n610,22\n45\n44\n523\n524\n609,06\n610,22\n46\n45\n524\n525\n609,68\n610,86\n47\n46\n524\n525\n609,17\n610,34\n…\n…\n…\n…\n…\n100\n99\n563\n564\n609,69\n612,74\n…\n…\n…\n…\n…\n200\n199\n686\n687\n608,44\n610,01\n…\n…\n…\n…\n…\n474\n473\n1 024\n1 025\n609,84\n610,60\n475\n474\n1 029\n1 030\n609,80\n610,49\n…\n…\n…\n…\n556\n555\n1 173\n1 174\n609,96\n610,59\n557\n556\n1 174\n1 175\n609,09\n610,08\n558\n557\n1 176\n1 177\n609,09\n610,59\n559\n558\n1 180\n1 181\n609,79\n611,23\nTable 4\nWindow numerical data\nWindow [#]\nt 1,j [s]\nt 2,j [s]\nd j [km]\nv j – [km/h]\nM CO2,j [g]\nM CO,j [g]\nM NOx,j [g]\nM CO2,d,j [g/km]\nM CO,d,j [g/km]\nM NOx,d,j [g/km]\nM CO2,d,cc ( v j – ) [g/km]\nWindow (U/R/M)\nh j [%]\nw j [%]\n1\n0\n524\n4,98\n38,12\n610,22\n2,25\n3,51\n122,61\n0,45\n0,71\n124,51\nURBAN\n– 1,53\n1,00\n2\n1\n524\n4,98\n38,12\n610,22\n2,25\n3,51\n122,61\n0,45\n0,71\n124,51\nURBAN\n– 1,53\n1,00\n…\n…\n…\n…\n…\n…\n…\n…\n…\n…\n…\n…\n…\n…\n…\n43\n42\n524\n4,98\n38,12\n610,22\n2,25\n3,51\n122,61\n0,45\n0,71\n124,51\nURBAN\n– 1,53\n1,00\n44\n43\n524\n4,98\n38,12\n610,22\n2,25\n3,51\n122,61\n0,45\n0,71\n124,51\nURBAN\n– 1,53\n1,00\n45\n44\n524\n4,98\n38,12\n610,22\n2,25\n3,51\n122,62\n0,45\n0,71\n124,51\nURBAN\n– 1,51\n1,00\n46\n45\n525\n4,99\n38,25\n610,86\n2,25\n3,52\n122,36\n0,45\n0,71\n124,30\nURBAN\n– 1,57\n1,00\n…\n…\n…\n…\n…\n…\n…\n…\n…\n…\n…\n…\n…\n…\n…\n100\n99\n564\n5,25\n41,23\n612,74\n2,00\n3,68\n116,77\n0,38\n0,70\n119,70\nURBAN\n– 2,45\n1,00\n…\n…\n…\n…\n…\n…\n…\n…\n…\n…\n…\n…\n…\n…\n…\n200\n199\n687\n6,17\n46,32\n610,01\n2,07\n4,32\n98,93\n0,34\n0,70\n111,85\nRURAL\n– 11,55\n1,00\n…\n…\n…\n…\n…\n…\n…\n…\n…\n…\n…\n…\n…\n…\n…\n474\n473\n1 025\n7,82\n52,00\n610,60\n2,05\n4,82\n78,11\n0,26\n0,62\n103,10\nRURAL\n– 24,24\n1,00\n475\n474\n1 030\n7,87\n51,98\n610,49\n2,06\n4,82\n77,57\n0,26\n0,61\n103,13\nRURAL\n– 24,79\n1,00\n…\n…\n…\n…\n…\n…\n…\n…\n…\n…\n…\n…\n…\n…\n556\n555\n1 174\n8,46\n50,12\n610,59\n2,23\n4,98\n72,15\n0,26\n0,59\n105,99\nRURAL\n– 31,93\n0,72\n557\n556\n1 175\n8,46\n50,12\n610,08\n2,23\n4,98\n72,10\n0,26\n0,59\n106,00\nRURAL\n– 31,98\n0,72\n558\n557\n1 177\n8,46\n50,07\n610,59\n2,23\n4,98\n72,13\n0,26\n0,59\n106,08\nRURAL\n– 32,00\n0,72\n559\n558\n1 181\n8,48\n49,93\n611,23\n2,23\n5,00\n72,06\n0,26\n0,59\n106,28\nRURAL\n– 32,20\n0,71\n7.3.\nUrban, rural and motorway windows — Trip completeness\nIn this numerical example, the trip consists of 7 036 averaging windows. Table 5 lists the number of windows classified in urban, rural and motorway according to their average vehicle speed and divided in regions with respect to their distance to the CO 2 characteristic curve. The trip is complete since it comprises at least 15 % of urban, rural and motorway windows out of the total number of windows. In addition the trip is characterised as normal since at least 50 % of the urban, rural and motorway windows are within the primary tolerances defined for the characteristic curve.\nTable 5\nVerification of trip completeness and normality\nDriving Conditions\nNumbers\nPercentage of windows\nAll Windows\nUrban\n1 909\n1 909 / 7 036 × 100 = 27,1 > 15\nRural\n2 011\n2 011 / 7 036 × 100 = 28,6 > 15\nMotorway\n3 116\n3 116 / 7 036 × 100 = 44,3 > 15\nTotal\n1 909 + 2 011 + 3 116 = 7 036\nNormal Windows\nUrban\n1 514\n1 514 / 1 909 × 100 = 79,3 > 50\nRural\n1 395\n1 395 / 2 011 × 100 = 69,4 > 50\nMotorway\n2 708\n2 708 / 3 116 × 100 = 86,9 > 50\nTotal\n1 514 + 1 395 + 2 708 = 5 617",
  "extent": "E+W+S+N.I.",
  "status": null,
  "version": "current",
  "annotations": [
    {
      "type": "F",
      "label": "F1",
      "text": "Inserted by Commission Regulation (EU) 2016/427 of 10 March 2016 amending Regulation (EC) No 692/2008 as regards emissions from light passenger and commercial vehicles (Euro 6) (Text with EEA relevance)."
    },
    {
      "type": "footnote",
      "label": "f1",
      "text": "For hybrids, the total energy consumption shall be converted to CO 2 . The rules for this conversion will be introduced in a second step."
    }
  ],
  "outstanding_effects": [],
  "provenance": {
    "source": "legislation.gov.uk",
    "source_url": "https://www.legislation.gov.uk/eur/2008/692/annex/IIIA/appendix/5",
    "retrieved_at": "2026-11-01T14:52:09.943760+00:00"
  },
  "licence": "Open Government Licence v3.0",
  "licence_url": "https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/",
  "attribution": "Contains public sector information licensed under the Open Government Licence v3.0. Source: legislation.gov.uk, The National Archives."
}