This document summarizes the process to generate full efficiency and power loss maps for a 2010 Toyota Prius 60kW 650V MG2 electric motor and inverter (EMOT) using data collected by Oak Ridge National Lab (ORNL). The inverter voltage supplied to MG2 varies from 200 – 650 Vdc when operating in the 2010 Toyota Prius, however, this mapping effort only focuses on MG2’s operation at 650 Vdc. The generated map defines the operating boundaries and electrical power consumption of both the electric motor and inverter which are needed for ALPHA modeling.
SUGGESTED CITATION:
2010 Toyota Prius 60kW 650V MG2 EMOT - ALPHA Map Package. Version 2023-04. Ann Arbor MI: US EPA National Vehicle and Fuel Emissions Laboratory, National Center for Advanced Technology, 2023.
EMOT Physical Characteristics
The following table sets the key physical characteristics for the 2010 Toyota Prius 60kW 650V MG2 electric motor and inverter (EMOT) used in the ALPHA model based on published information provided in 3d- Benchmarking of Competitive Technologies Presentation by ORNL May 2011.pdf and 3e- FY2011 DOE Annual Progress Report Advanced Power Electronics and Electric Motors Program.pdf. The items in the table follow ALPHA’s code syntax for “emachines,” which is: emach.characteristic name_engineering units = value; % comments.
emach = class_REVS_emachine_geared; emach.name = '2010 Toyota Prius 60kW 650V MG2 EMOT'; emach.type = enum_emachine_type.Motor; emach.gear.ratio = 2.636; % for reference - planetary GR for 2010 Prius emach.gear.efficiency_norm = 1; % This device is an emotor and inverter (EMOT) with no gearing, so the gear efficiency was set to 1 (100% efficiency) emach.inertia_kgm2 = 6.7 * (1/2*0.1604*1/2)^2; % Inertia = rotor mass *1/2 rotor diameter, rotor mass = 6.7kg, rotor diameter = 0.1604m. (0.01077 kg-m2) emach.max_speed_radps = 13500 * unit_convert.rpm2radps; emach.max_torque_Nm = 207; emach.max_motor_power_W = 60000; emach.max_generator_power_W = emach.max_motor_power_W; nominalVoltage_V = 650;
Import EMOT Data
The following code imports EMOT efficiency data provided by ORNL found in 3c- 2010 Toyota Prius 60kW 650V MG2 EMOT - ORNL Test Data File.xlsx. ORNL provided separate motor and inverter efficiency data files which were multiplied together to provide the combined efficiency data used to create this MG2 EMOT map.
EPA reviews the quality of the test data we import to ensure consistency with expected data trends and emotor system physics. Any data points considered significant outliers are removed from the dataset before generating the final efficiency map. In addition, since many of the datasets are missing low-speed and torque datapoints, occasionally a few “grounding” datapoints are added to help the curve fitting algorithm extrapolate the gradients near the map’s boundaries.
Specifically for this dataset, the efficiency datapoints associated with 0.0 torque were removed since the values associated with those datapoints did not make sense physically.
tbl_inv = readmatrix('3c- 2010 Toyota Prius 60kW 650V MG2 EMOT - ORNL Test Data File.xlsx','Sheet','650V INV Only', 'Range','B6:P27'); tbl_mot = readmatrix('3c- 2010 Toyota Prius 60kW 650V MG2 EMOT - ORNL Test Data File.xlsx','Sheet','650V Motor Only', 'Range','B6:P27'); data(1).speed_rpm = tbl_mot(1,2:end); data(1).torque_Nm = tbl_mot(3:end,1); data(1).efficiency_norm = tbl_mot(3:end,2:end)/100 .* tbl_inv(3:end,2:end)/100; data(1).name = 'Data';
EMOT Torque Limits
The following table sets the torque limits of the EMOT input map based on test data collected by ORNL found in 3c- 2010 Toyota Prius 60kW 650V MG2 EMOT - ORNL Test Data File.xlsx. The maximum torque line is set by defining maximum torque (axis 2) at discrete speeds (axis 1) of the operating map.
test_data = load('Extracted_Data_emach'); emach.positive_torque_limit_Nm.axis_1.signal = 'emach_spd_radps'; emach.positive_torque_limit_Nm.axis_1.breakpoints = [0,1000,2000,3000,4000,5000,6000,7000,8000,9000,10000,11000,12000,13000] * unit_convert.rpm2radps; emach.positive_torque_limit_Nm.axis_2.signal = 'emach_voltage_V'; emach.positive_torque_limit_Nm.axis_2.breakpoints = nominalVoltage_V; emach.positive_torque_limit_Nm.table = test_data.MaxTorque_650Vdc(:,2); emach.negative_torque_limit_Nm.axis_1.signal = 'emach_spd_radps'; emach.negative_torque_limit_Nm.axis_1.breakpoints = emach.positive_torque_limit_Nm.axis_1.breakpoints; emach.negative_torque_limit_Nm.axis_2.signal = 'emach_voltage_V'; emach.negative_torque_limit_Nm.axis_2.breakpoints = nominalVoltage_V; emach.negative_torque_limit_Nm.table = -emach.positive_torque_limit_Nm.table;
Build the emachine Object in Matlab
The script below creates an “emach” object which is converted into power loss (rather than efficiency) for the “drive” quadrant, extrapolated to the edges of the operating space, and scaled for maximum power.
These power losses were then “mirrored” to the regen quadrant considering the average of the empirical internal mechanical and electrical losses differences typically seen between operating in the “drive” and “regen” quadrants. Since the ORNL dataset did not have any regen data, we mirrored the drive quadrant power loss data onto the regen quadrant compensated by a factor of 1.05 (or 105 %) which represents an empirical average encountered in confidential data available to this program.
emach = emach.load_data(data,'mirror_factor',1.05);
EMOT Efficiency Map
The following code generates the Efficiency Map shown below. The efficiency data points used to generate the efficiency map are superimposed on this image. A clean version of the efficiency map (without data points) is included in 4a- 2010 Toyota Prius 60kW 650V MG2 EMOT – Efficiency.pdf. The 6- 2010 Toyota Prius 60kW 650V MG2 EMOT - Electrical Power Consumption Data.xlsx file contains a sample data set extracted from this efficiency map.
REVS_plot_emachine(emach,'efficiency'); REVS_plot_emachine_data_overlay(data, 'efficiency');
For comparison, the Combined Inverter-Motor Efficiency Map shown below was published by ORNL in a technical presentation provided in 3d- Benchmarking of Competitive Technologies Presentation by ORNL May 2011.pdf and 3e- FY2011 DOE Annual Progress Report Advanced Power Electronics and Electric Motors Program.pdf.
Power Loss Difference Table
In addition, the diagram below shows the power loss difference by comparing the power loss data derived from the ORNL efficiency data found in 3c- 2010 Toyota Prius 60kW 650V MG2 EMOT - ORNL Test Data File.xlsx and the ALPHA map power data. The power loss percentage difference for these data points is calculated using the following formula.
Where
In cases where the original ORNL data contain abrupt changes in curvature, the ALPHA curve-fitting function produces a smooth surface through the points, resulting in a noticeable difference between the values of the original ORNL points and the curve fit surface. Additionally, larger percentage values for power loss difference are typical where the magnitude of the power loss is small (for example, at low torques and speeds).
REVS_table_data_comparision_emachine(data,emach, 'loss_diff_pct');
Data Power Loss Percent Difference
----------------------------------
Motor Torque ( Nm ) \ Motor Speed ( RPM)
500 RPM 1000 RPM 2000 RPM 3000 RPM 4000 RPM 5000 RPM 6000 RPM 7000 RPM 8000 RPM 9000 RPM 10000 RPM 11000 RPM 12000 RPM 13000 RPM
__________ __________ __________ __________ __________ __________ __________ __________ __________ __________ __________ __________ __________ __________
200.0 Nm -3.71 1.62 1.36 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
190.0 Nm 8.01 -3.19 -3.11 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
180.0 Nm -3.17 2.37 1.72 0.95 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
170.0 Nm -0.33 -1.36 -0.64 -1.43 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
160.0 Nm 4.46 0.99 0.38 0.82 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
150.0 Nm -5.2 -0.48 0.32 0.23 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
140.0 Nm -0.65 1.91 0.42 -0.6 0.08 NaN NaN NaN NaN NaN NaN NaN NaN NaN
130.0 Nm 5.08 -2.26 -1.13 1.31 -0.74 NaN NaN NaN NaN NaN NaN NaN NaN NaN
120.0 Nm -4.04 1.44 1.45 -1.45 0.84 NaN NaN NaN NaN NaN NaN NaN NaN NaN
110.0 Nm -0.27 0.41 -1.46 0.41 0.36 NaN NaN NaN NaN NaN NaN NaN NaN NaN
100.0 Nm 1.04 -0.22 0.36 -0.19 0.68 -1.2 NaN NaN NaN NaN NaN NaN NaN NaN
90.0 Nm 0.66 -0.16 1.89 0.07 -0.54 1.85 NaN NaN NaN NaN NaN NaN NaN NaN
80.0 Nm 0.28 -0.22 -3.71 0.5 -0.58 0.7 -2.74 NaN NaN NaN NaN NaN NaN NaN
70.0 Nm -0.07 0.23 2.21 -0.44 0.38 0.43 3.18 NaN NaN NaN NaN NaN NaN NaN
60.0 Nm -0.12 -0.06 0.51 0 -0.49 -0.92 0.58 -0.7 NaN NaN NaN NaN NaN NaN
50.0 Nm -0.42 0.32 -0.36 0.47 -0.28 1.06 -1 1.87 -1.08 NaN NaN NaN NaN NaN
40.0 Nm -0.56 0.22 -0.12 -0.56 0.25 1.8 -0.62 -0.09 1.73 -0.38 -2.19 NaN NaN NaN
30.0 Nm -0.66 -0.18 -0.83 -0.22 -0.3 -2.74 1.32 -0.34 -0.8 0.47 2.88 -3.06 -0.78 NaN
20.0 Nm -1.37 -1.19 -1.24 -1.62 -2.77 -1.64 -1 -0.73 0.8 -0.65 1.21 4.92 1.04 -2.51
10.0 Nm 3.63 1.4 2.64 2.61 3.23 3.3 -0.25 1.33 -0.21 1.09 -0.36 -0.3 0.91 2.9
Power Loss Map
The Power Loss map is shown below and in 5a- 2010 Toyota Prius 60kW 650V MG2 EMOT - Power Loss.pdf. Following this are two graphs expressing losses in the EMOT as “effective torque loss” as functions of motor output torque and speed. The additional plots show system losses, converted to effective torque loss, as a function of motor output torque and speed. Effective torque loss represents the total power loss in the system as a loss of mechanical power. The associated speed is kept constant, and thus the total loss is expressed as a loss of torque. Torque losses are presented on a log scale.
REVS_plot_emachine(emach,'power loss'); REVS_plot_emachine(emach,'torque loss curves');
Generate ALPHA .m file for ALPHA Model Simulations
This code generates and writes the created ALPHA emachine definition into an “.m file” for use in later ALPHA vehicle model simulations. The .m file is the actual input file used in ALPHA that defines power consumption over the speed and torque operating limits of the 2010 Toyota Prius 60kW 650V MG2 EMOT.
emach.write_mscript('emachine_2010_Toyota_Prius_60kW_650V_MG2_EMOT.m');
Motor Build: emachine_2010_Toyota_Prius_60kW_650V_MG2_EMOT.m
% ALPHA ELECTRIC MOTOR DEFINITION % Generated 06-Apr-2023 16:25:43 % Constructor mg = class_REVS_emachine_geared(); mg.name = '2010 Toyota Prius 60kW 650V MG2 EMOT'; mg.source_filename = mfilename; % Physical Description mg.electrical_source = 'propulsion'; mg.inertia_kgm2 = 0.010773666999999999; mg.type = enum_emachine_type.Motor; mg.gear.ratio = 2.636; mg.gear.efficiency_norm = 1; % Capacity Limits mg.max_speed_radps = 1413.7166941154069; mg.max_torque_Nm = 207; mg.max_motor_power_W = 60000; mg.max_generator_power_W = 60000; mg.positive_torque_limit_Nm = class_REVS_dynamic_lookup; mg.positive_torque_limit_Nm.axis_1.signal = 'emach_spd_radps'; mg.positive_torque_limit_Nm.axis_1.breakpoints = [ 0.0000000000000000 104.71975511965977 209.43951023931953 314.15926535897933 418.87902047863906 523.59877559829886 628.31853071795865 733.03828583761833 837.75804095727813 942.47779607693792 1047.1975511965977 1151.9173063162575 1256.6370614359173 1361.3568165555769 ]; mg.positive_torque_limit_Nm.axis_2.signal = 'emach_voltage_V'; mg.positive_torque_limit_Nm.axis_2.breakpoints = 650; mg.positive_torque_limit_Nm.table = [ 199.84252000000001 ; 200.12598399999999 ; 199.84252000000001 ; 190.20472400000000 ; 144.56692899999999 ; 107.14960600000001 ; 80.503936999999993 ; 66.897638000000001 ; 52.724409000000001 ; 46.488188999999998 ; 40.251969000000003 ; 33.448819000000000 ; 30.047243999999999 ; 25.228345999999998 ]; mg.negative_torque_limit_Nm = class_REVS_dynamic_lookup; mg.negative_torque_limit_Nm.axis_1.signal = 'emach_spd_radps'; mg.negative_torque_limit_Nm.axis_1.breakpoints = [ 0.0000000000000000 104.71975511965977 209.43951023931953 314.15926535897933 418.87902047863906 523.59877559829886 628.31853071795865 733.03828583761833 837.75804095727813 942.47779607693792 1047.1975511965977 1151.9173063162575 1256.6370614359173 1361.3568165555769 ]; mg.negative_torque_limit_Nm.axis_2.signal = 'emach_voltage_V'; mg.negative_torque_limit_Nm.axis_2.breakpoints = 650; mg.negative_torque_limit_Nm.table = [ -199.84252000000001 ; -200.12598399999999 ; -199.84252000000001 ; -190.20472400000000 ; -144.56692899999999 ; -107.14960600000001 ; -80.503936999999993 ; -66.897638000000001 ; -52.724409000000001 ; -46.488188999999998 ; -40.251969000000003 ; -33.448819000000000 ; -30.047243999999999 ; -25.228345999999998 ]; % Losses & Efficiency mg.electric_power_W = class_REVS_dynamic_lookup; mg.electric_power_W.axis_1.signal = 'emach_spd_radps'; mg.electric_power_W.axis_1.breakpoints = [ 0.0000000000000000 104.71975511965972 209.43951023931945 314.15926535897938 418.87902047863895 523.59877559829886 628.31853071795865 733.03828583761833 837.75804095727813 942.47779607693792 1047.1975511965977 1151.9173063162575 1256.6370614359173 1361.3568165555769 ]; mg.electric_power_W.axis_2.signal = 'emach_trq_Nm'; mg.electric_power_W.axis_2.breakpoints = [ -200.00000000000000 -190.00000000000000 -180.00000000000000 -170.00000000000000 -160.00000000000000 -150.00000000000000 -140.00000000000000 -130.00000000000000 -120.00000000000000 -110.00000000000000 -100.00000000000000 -90.000000000000000 -80.000000000000000 -70.000000000000000 -60.000000000000000 -50.000000000000000 -40.000000000000000 -30.000000000000000 -15.000000000000000 0.0000000000000000 10.000000000000000 20.000000000000000 30.000000000000000 40.000000000000000 50.000000000000000 60.000000000000000 70.000000000000000 80.000000000000000 90.000000000000000 100.00000000000000 110.00000000000000 120.00000000000000 130.00000000000000 140.00000000000000 150.00000000000000 160.00000000000000 170.00000000000000 180.00000000000000 200.00000000000000 ]; mg.electric_power_W.table = [ 11028.842584274909 8480.0716678664794 6851.8436125128474 5710.2499520238298 5019.9868548254626 4771.5093524785361 4353.3683946881765 3885.4823770433341 3567.7615691210244 3103.3653948322776 2581.9951962589321 2111.0375004568659 1725.2786440582886 1419.5999931443023 1172.7977667503108 964.40866234486839 776.51843573707606 600.25864925346218 361.74885130110624 270.19209094948644 314.46272656123091 426.20043516412625 572.61963543957211 737.99865314719329 917.19446768263492 1116.3229135396648 1351.7997348001395 1643.0675072753472 2010.4326184606582 2458.9268413178370 2955.6555999909829 3398.6931373561115 3702.8871833756225 4150.4664003716243 4548.3962140971453 4775.4994831459644 5400.1070600069461 6410.7348215112934 10352.058785281493 ; -9562.6638739064347 -10206.820413208063 -10790.154993879762 -10868.384744076604 -10808.909031925739 -10342.250085511469 -10034.252994571512 -9577.9897790950836 -9040.8826675548316 -8502.2680566358613 -7909.6602729795613 -7244.2521230463317 -6517.3571680480582 -5750.1046358720114 -4945.1343527668132 -4115.3986150424662 -3263.0933356202017 -2397.6701506685085 -1105.0698459543930 336.55098019985081 1442.1263412135411 2634.4681682690584 3848.0972654216562 5069.3598051163553 6303.2206060540275 7557.6926940568919 8835.4902922422734 10149.242935637281 11501.489070153131 12912.307133201979 14392.399042504812 15923.723880721858 17456.188275151180 19065.851699256673 20819.467236543591 22428.910380880996 24423.482730912689 26474.370513805425 31792.843962739200 ; -29981.807466309903 -28902.790481775148 -28236.231379385597 -27416.842626797166 -26610.132036190706 -25618.185050184173 -24373.902608922894 -22914.351360919271 -21391.460747388293 -19704.472642251665 -18028.064189001194 -16281.912307105631 -14444.244591489065 -12748.047490004334 -10974.820629329339 -9125.3094561123125 -7243.4698730731907 -5349.7697921363406 -2529.6521396398134 466.03983166383273 2624.3211848686387 4883.2551709275876 7169.7524587270709 9456.2873082042897 11754.242687338914 14082.175996125516 16482.446399690525 18956.045319803434 21294.932282720176 23720.993466613720 26213.481284249450 28695.849183630595 31334.314698492013 34032.845871196383 36937.253542677121 40087.600652161884 43426.405554908022 46742.075095073822 53316.719651374595 ; -53069.510340597459 -50771.484689356774 -48429.987919985753 -45949.860544464653 -43662.819594502209 -41298.389264763631 -38838.743400365580 -36330.364994308919 -33662.982274564631 -31035.697371587521 -28357.532536543509 -25629.260916916668 -22833.740645233793 -19966.219843226820 -17076.264320260998 -14164.030825866843 -11226.685075946807 -8298.0854318721595 -3932.1150776949521 609.39319356760359 3821.8290211896851 7148.5035876653546 10494.811226248192 13840.516480680457 17178.032965905611 20538.456568361562 23919.706560006747 27322.281216507723 30793.452536997644 34328.681623613280 37911.623798904271 41542.997592225933 45136.158391511490 48880.863187967807 52672.578258104040 56556.092433669364 60511.805138804935 64267.663728262742 72182.796432218689 ; -74761.964026593691 -71161.559690311027 -67562.246622763589 -63970.116057226405 -60394.591891720287 -56842.716818145978 -53320.056959088295 -49829.553498324000 -46381.784259870547 -42800.382996504173 -39058.219808839451 -35168.030645110928 -31229.740640884069 -27276.917952705833 -23289.363941235126 -19301.276076639089 -15313.524484746018 -11317.684579816028 -5379.2334212558189 700.00054110766371 4969.3123632218521 9366.4470385174827 13751.025503138613 18125.851540684398 22508.022082020892 26888.433193104996 31268.856393307975 35682.321691280456 40109.668045274171 44582.836333915795 49196.910115134335 53963.881522823642 58858.189684858582 63714.213011738007 68547.831523389774 73359.923070293109 78154.456102104494 82937.029222291429 92481.485151625107 ; -95553.637170591697 -90841.590553504502 -86131.627269465971 -81426.829408388308 -76730.533752695206 -72046.888910008871 -67379.701916075486 -62732.151429605423 -58107.486559776175 -53510.161163885714 -48948.688741612292 -44431.485702615566 -39738.141042704396 -34874.888378006523 -29891.323132588972 -24851.070259592714 -19724.719688312500 -14537.104522813926 -6920.2058491570369 771.24084547254245 6062.1784932014434 11454.136727210165 16815.246617861852 22104.257621926183 27446.003047980001 32868.194984388574 38344.340380332622 43935.146751275315 49687.836802736048 55609.094512031588 61491.122228759014 67341.830503591875 73169.432748602499 78978.396333095108 84771.970723500039 90553.045487521595 96324.760851235624 102090.26526982724 113603.06512722879 ; -115824.57059835564 -110055.86806606986 -104287.29441500150 -98518.908400100656 -92750.559516977009 -86981.871523601978 -81212.420409115570 -75442.275268258250 -69673.114619110929 -63910.149983195261 -58164.968855852640 -52461.055845550618 -46842.086162198713 -41381.900690429902 -35679.676213952327 -29765.600099244319 -23739.776154107174 -17630.626095616673 -8270.6525007638720 1109.3157407549104 7380.7955749581224 13678.187796526199 20015.513486858905 26457.480837195682 32986.427803660772 39622.026000814505 46458.719075230605 53526.283682586538 60444.878337397415 67284.678938877521 74087.243670853000 80874.910646784716 87658.627718360425 94443.175834588794 101229.88043111708 108018.47859457528 114808.20947730356 121598.37440638476 135178.87527210047 ; -135736.35183216885 -128943.95576744604 -122151.70616878133 -115360.13479257301 -108570.39993126557 -101784.52075005378 -95005.567309088292 -88237.714497873501 -81486.009525852409 -74755.648190228108 -68050.529675419064 -61370.917163507584 -54710.237880864915 -48051.646737103532 -41368.273726273954 -34630.657196748034 -27710.667751910925 -20672.210271567132 -9983.9231973447640 888.24714319005614 8258.5499994565325 15723.674255015643 23250.237673131636 30853.501117286418 38575.759692657077 46471.824586612624 54419.744202188798 62391.719872640650 70362.440787374304 78316.079992197323 86246.500653089475 94153.989118802114 102042.22110214684 109916.05231541433 117780.16178368004 125638.37841603288 133493.46670840020 141347.17399397033 157052.40449023707 ; -155437.05421917560 -147652.77046916573 -139869.26307240894 -132087.96065300400 -124310.79466728077 -116539.98681068476 -108777.73721801012 -101025.79634044869 -93284.943055572498 -85554.451791458603 -77831.702714398329 -70112.145492199124 -62389.820749705177 -54658.484865818027 -46912.965522316459 -39149.615374776324 -31368.644579743086 -23432.065168875837 -11312.533520664139 1121.2957961544753 9546.5038106430165 18081.969551575647 26757.857396337015 35547.982717520383 44493.877551521582 53455.134315578180 62432.683883935417 71423.518035766116 80422.957243872515 89425.158500059959 98424.474900058587 107416.57970038698 116398.99624583389 125371.07704067809 134333.62811321934 143288.38148217986 152237.46440137632 161182.94548294871 179065.14930323500 ; -175059.39302718613 -166288.82836238126 -157518.66860137932 -148749.56899808918 -139982.28907379266 -131217.57017239393 -122456.05536270345 -113698.26746206296 -104944.64668856503 -96195.619271929492 -87451.621396442366 -78712.947149103318 -69979.247905748562 -61248.527170280526 -52515.612023864982 -43770.406326854798 -34996.749310969280 -26173.309659778737 -12733.418145931038 1144.1883231888901 10680.960306662504 20412.883754535243 30279.465463232274 40266.205949805590 50302.155106334772 60366.129446819468 70441.935618061238 80519.286465279394 90592.778053136601 100660.25576074426 110721.34755548020 120776.46425887659 130826.26349266036 140871.44239752894 150912.70456131763 160950.78156690139 170986.43915251645 181020.44043219136 201084.05254929553 ; -194654.67698513149 -184890.25008284434 -175125.90045019763 -165361.70906746085 -155597.68929771410 -145833.72404537647 -136069.52384799221 -126304.62749214956 -116538.47964976296 -106770.63655450258 -97001.168008627705 -87231.333799046595 -77464.598237459402 -67707.980651765436 -57973.585359033903 -48279.874562840509 -38651.826369982577 -29118.605369709290 -14343.052244836517 1120.5782258726379 11715.442187846134 22527.677995015136 33618.812739396220 44960.603857572503 56216.960077877389 67412.028294918942 78567.146077035766 89698.633279495451 100817.69057448581 111931.28418064433 123043.30394730142 134155.62338740777 145268.92014552478 156383.24363978853 167498.37286612298 178614.02146955294 189729.94139404796 200845.96417872392 223078.09915685249 ; -214231.75758093849 -203468.90515502513 -192706.00308690296 -181943.03613694379 -171180.10637639835 -160417.51092028560 -149655.80593768487 -138895.84284735634 -128138.75735216393 -117385.88954246900 -106638.61798811246 -95898.109002940982 -85165.022698057786 -74439.289430266435 -63720.180059329774 -53007.035862185410 -42301.167821370691 -31609.501602426626 -15648.283778590583 1302.4806849416564 13000.962757487947 24997.794168962806 37357.925214803807 49661.361815723554 61931.406837647861 74180.739383235123 86415.919262234529 98640.451281974005 110856.56423984913 123066.06795837868 135270.65052737662 147471.89381470025 159671.18747595130 171869.64052855870 184068.03331661716 196266.81915756915 208466.16831732768 220666.04124637228 245067.42641398858 ; -233791.38399349677 -222036.27401571421 -210281.11115574016 -198525.88506447474 -186770.72532398478 -175016.00268083991 -163262.43353441067 -151511.18184635401 -139763.94363908953 -128022.98520477637 -116291.08559325122 -104571.30585508735 -92866.472480387369 -81178.224905628260 -69505.448682601753 -57841.921502006597 -46173.083097492199 -34472.073689135505 -16743.859404853905 1736.0744463647693 14470.750115211407 27498.636512627516 40761.527024509916 54084.515795723171 67433.188967374997 80786.316585251174 94132.644426698243 107467.64791292706 120790.84918339782 134103.85948612355 147409.08963676987 160708.98658470347 174005.64257961366 187300.64536337255 200595.07026634066 213889.54644239575 227184.35500592654 240479.53555049002 267071.12992103695 ; -253339.51076458493 -240600.22972962281 -227861.05836378795 -215122.13888651165 -202383.56736759766 -189645.31203781351 -176907.12919196757 -164168.48122536647 -151428.46748799764 -138685.78716448147 -125938.76428721282 -113185.47773423072 -100424.05205419019 -87653.174701753887 -74872.905184812276 -62085.820574877558 -49298.482510351438 -36523.088716737955 -17433.266760237842 2352.7841194099710 16228.966647891046 30511.858398142849 44783.541872393711 59060.084088232368 73351.654416933117 87663.153996351743 101995.51016254206 116347.06331261322 130714.76013857922 145095.04933546839 159484.47853237166 173880.03978661777 188279.32644923098 202680.56167363506 217082.54817290459 231484.57587825140 245886.31198532184 260287.68783703394 289089.20593803411 ]; mg.unpowered_torque_loss_Nm = class_REVS_dynamic_lookup; mg.unpowered_torque_loss_Nm.axis_1.signal = 'emach_spd_radps'; mg.unpowered_torque_loss_Nm.axis_1.breakpoints = [ -15000.000000000000 15000.000000000000 ]; mg.unpowered_torque_loss_Nm.table = [ 0.0000000000000000 0.0000000000000000 ];