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Additional RDE trip indicator(s)
European Commission - Joint Research Centre (JRC) IET - Institute for Energy and Transport
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Background for the work
The RDE procedure contains methods to assess the dynamic conditions over a PEMS trip (ex-post evaluation) “Composite” indicators (of vehicle speed-accelerations, road grade, wind) are used to assess the severity of driving conditions (average window CO2 mass for EMROAD, instantaneous power at the wheels for CLEAR)
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Background for the work
Current assessment of dynamic conditions: CO2 or power as indicators Engine-Out (NOx) Emissions Insufficient Normal Excessive Driving severity/dynamicity
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Background for the work
Risk : wrong assessment of testing conditions in these two regions using the current data evaluation methods Engine-Out (NOx) Emissions Insufficient Normal Excessive Driving severity/dynamicity
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Background for the work
Tests could be validated using complementary indicators Engine-Out (NOx) Emissions Insufficient Normal Excessive MAX CF Tailpipe (NOx) Emissions Driving severity/dynamicity Severity indicators = Mainstream & Complementary Engine-Out (NOx) Emissions
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Contents Four stage approach towards complementary trip indicators
Identifying the problem; if concerns are valid: Proposing suitable indicators Agreeing on thresholds Agreeing on implementation
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Identifying the problem
Two parts: Shared data as part of the RDE data evaluation task force (V001, V005 in the RDE DE task force database) New data obtained from ACEA in the past month (V006, V008 from ACEA round robin test)
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Trip driven aggressively invalidated by MAW method
Previous data V001_Route#1 driven with standard and aggressive driving styles: Power/Mass=74; EMROAD v5.8 ↓ windows within 25% of the CO2 reference from standard to aggressive Trip driven aggressively invalidated by MAW method
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Trip driven aggressively invalidated by MAW method
Previous data V005_Route#1 driven with soft, standard and aggressive driving styles: Power/Mass=91.8; EMROAD v5.8 ↓ windows within 25% of the CO2 reference from soft to standard and aggressive Trip driven aggressively invalidated by MAW method
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New ACEA (Round Robin) Data
Trip data provided by ACEA: time, instantaneous CO2 emission, exhaust mass flow rate, vehicle speed, GPS data, coolant temperature, engine torque, ambient temperature and pressure Neckarsulm Steyr Wolfsburg Stuttgart Soft Standard Aggres. V006 OK V007 V008 3 pairs of standard/soft vs. aggressive driving on the same route and vehicle NOx data available for 2 tests (Total results only)
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Trip driven aggressively validated by MAW method
New Data V006 WOB route - Soft and aggressive driving styles: EMROAD v5.8 – Power/Mass=? almost all windows within 25% of the CO2 reference from soft to aggressive Trip driven aggressively validated by MAW method
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Trip driven aggressively validated by MAW method
New Data V008 WOB route - Standard and aggressive driving styles: EMROAD v5.8 – Power/Mass=? almost all windows within 25% of the CO2 reference for both tests Trip driven aggressively validated by MAW method
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Trip driven aggressively invalidated by MAW method
New Data V008_NSU driven with soft and aggressive driving styles: EMROAD v5.8 – Power/Mass=? ↓ windows within 25% of the CO2 reference from soft to aggressive Trip driven aggressively invalidated by MAW method
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Preliminary conclusion
Cumulative CO2 mass does not invalidate aggressive tests for some vehicle-engine-route combinations provided by ACEA Window average CO2 emissions may not always be sufficiently sensitive to detect severe instantaneous driving events Why is this the case for some vehicles-routes combinations and not for others? Compensation of wind and road grade effects? Vehicle-engine characteristics? Subjective driver judgement? The need for an additional indicator seems legitimate: Observations for a limited number of diesel vehicles Severity of the trips claimed to be aggressive must be agreed with respect to a reference, based on a number of agreed indicators
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JRC general comments Studies shall be conducted for individual and valid vehicle-route combinations The analysis should detail the results for urban, rural and motorway driving The percentage of normal windows is not an indicator for the severity of the driving
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Additional indicators
Analysis of additional indicators EMROAD: window average CO2 emissions ACEA proposal – 95-percentil of v*a_pos Differences: indicator, statistical parameter, data sample
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Investigation of instantaneous CO2 based indicator
Indicators V006_WOB driven with soft and aggressive driving styles: All data points included: Aggressive Soft Similar average CO2 emissions (g/s), over the total trip, for soft and aggressive Increased scatter of CO2 emissions, over the total trip , for aggressive trip Investigation of instantaneous CO2 based indicator
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Indicators CO2 emissions and 𝑣∗ 𝑎 𝑝𝑜𝑠,95𝑡ℎ correlation:
All data points included Urban Rural Motorway
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Indicators V006_WOB driven with soft and aggressive driving styles:
Only positive acceleration: Data considered for 𝑣∗ 𝑎 𝑝𝑜𝑠,95𝑡ℎ calculation: Aggressive Soft CO2 emissions and test conditions: Increased average CO2 emissions, over the total trip, for aggressive trip Increased 95th percentile CO2 emissions, over the total trip , for aggressive trip
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Indicators CO2 emissions and 𝑣∗ 𝑎 𝑝𝑜𝑠,95𝑡ℎ correlation:
Only positive acceleration Urban Rural Motorway
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MAW Severity Indices Severity indices vs. driving style:
Urban Rural Motorway Severity index: distance of window average CO2 emissions from the reference curve Increase of severity index passing from soft to standard and aggressive driving style
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Indicators V004 (RDE DE TF Database) RPA
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Conclusions and next steps
Need to complement data evaluation with additional indicators partially established Additional trip indicators could make the data evaluation more robust Objectives for the RDE DE Task Force - To improve the robustness of the procedure - Complementing the data evaluation methods with trip indicators - Complementing the RDE procedure with ex-ante trip requirements (road grade) Discussion on indicator values: which reference? (EU WLTP data pool complemented by soft-extreme PEMS data) Implementation of indictors: data point exclusion/window invalidation/trip invalidation
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Indicators CO2 emissions and 𝑣∗ 𝑎 𝑝𝑜𝑠,95𝑡ℎ correlation:
Only positive acceleration Aggressive Soft/Standard
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Indicators CO2 emissions and 𝑣∗ 𝑎 𝑝𝑜𝑠,95𝑡ℎ correlation:
All data points included Aggressive Soft/Standard
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V006-WOB
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V008-WOB
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V008-NSU
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9 tests shared, preliminary analysis with MAW method(*):
(*) snapshot from ACEA presentation “2015_Necessity-dyn-boundaries-final-ACEA_PR_0208_BR” EMROAD – trip validity: U/R/M windows based on average speed (≤45 km/45-80 km/h/>80 km/h) At least 15% of windows in each U/R/M phase At least 50% of windows within 25% of the CO2 reference in each U/R/M phase
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Selected data - Overview
EMROAD – trip validity: U/R/M windows based on average speed (<45 km/45-80 km/h/>80 km/h) At least 15% of windows in each U/R/M phase At least 50% of windows within 25% of the CO2 reference in each U/R/M phase Every trip has a specific overall minimum percentage of windows that have to be within the 25% of the CO2 reference to be valid! MAWs share [%] MAWs ±25% tolerance [%] 𝑁𝑜𝑟𝑚𝑎𝑙 𝑤 % Urban Rural Motorway Case #a: Balanced trip / best case 34 33 50 100 83 Case #b1: Unbalanced trip / best case 15 70 92.5 Case #c1: Unbalanced trip / best case 60 Case #d1: Unbalanced trip / best case 26 44 30 87 Case #d2: Unbalanced trip / best case 78 Case #d3: Unbalanced trip / best case 85 Cases #a,b,c,d: worst case
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Background for the work
The data evaluation methods assess the combined effects of vehicle dynamics, road grade, wind Engine-Out (NOx) Emissions Insufficient Normal Excessive Driving severity/dynamicity
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