25
Managed by UT-Battelle for the Department of Energy System Simulations of Hybrid Electric Vehicles with Focus on Emissions Zhiming Gao Veerathu K. Chakravarthy Josh Pihl C. Stuart Daw Maruthi Devarakonda Jong Lee Oak Ridge National Lab Pacific Northwest national Lab 2010 DOE-DEER Conference September 27, 2010 Sponsor : Lee Slezak Vehicle Technologies Program U.S. Department of Energy

System Simulations of Hybrid Electric Vehicles with Focus ... · System Simulations of Hybrid Electric Vehicles with Focus on Emissions Author: Zhiming Gao Subject: Comparative simulations

  • Upload
    others

  • View
    3

  • Download
    0

Embed Size (px)

Citation preview

  • Managed by UT-Battellefor the Department of Energy

    System Simulations of Hybrid Electric Vehicles with Focus on Emissions

    Zhiming Gao†Veerathu K. Chakravarthy†

    Josh Pihl†C. Stuart Daw†

    Maruthi Devarakonda‡Jong Lee‡

    † Oak Ridge National Lab‡ Pacific Northwest national Lab

    2010 DOE-DEER Conference September 27, 2010

    Sponsor : Lee SlezakVehicle Technologies Program

    U.S. Department of Energy

  • 2

    US fuel efficiency policy in 2009•Average fuel economy standard of 35.5 mpg in 2016•Nearly 10 miles per gallon better than the current average

    Hybrid electrical vehicles (HEVs) technology•HEV with stoichiometric engines or lean-burn engines•Challenges for emissions control in HEVs

    – Intermittent engine operation – A longer cold start at the beginning – Multiple cold starts during driving cycles– For diesel HEV, minimize fuel penalty without hurting emissions

    DOE Vehicle Systems Analysis Technical Team (VSATT)• Powertrain System Analysis Toolkit (PSAT) developed at ANL•ORNL is tasked with studying after-treatment options

    Background

  • 3

    VSATT Modeling Team

    ORNL team : Stuart Daw, Kalyan Chakravarthy, Zhiming Gao

    Testing data support: CLEERS, OEMs, National Labs (ORNL/PNNL)

    Our mission is to evaluate the technologies and performance characteristics of advanced automotive powertrain components and subsystems in an integrated vehicle systems context. • Transient engine model and engine maps• Diesel Oxidation Catalyst (DOC)• Diesel Particulate Filter (DPF)• Lean NOx Traps (LNT)• Selective Catalytic Reduction (SCR)• Three-Way Catalyst (TWC)• HEV & Plug-in HEV

  • 4

    HEV simulations are integrated with transient engine and aftertreament models

    Vehicle simulation framework● PSAT- ANL developed forward-

    looking simulation package● Transitioning to AUTONOMIE,

    which will replace PSAT

    ORNL transient engine model● Estimate transient engine exhaust

    properties and fuel economy based on corrections to steady-state maps

    Aftertreatment models ● Low-order, physically consistent● TWCs, DOCs, LNTs, DPFs, SCRs● Development ongoing ORNL/PNNL

    ORNL Aftertreatment

    Models

    ORNL Transient Engine Model

    Fuel & Engine Exhaust Maps

    PSATExperiment

    PSATExperiment

    Fuel Consumption & Tailpipe Emissions

  • 5

    ORNL transient engine model demonstrates a good prediction for engine-out emissions, exhaust temperature, and fuel economy associated with cold and warm starting conditions

    * Int. J. Engine Res., 11(3), 2010, 137-151

    Results :

    Integrated mileage and engine-out emissions*

    Example Simulation: Mercedes 1.7L diesel engine A UDDS cycle with cold start Civic vehicle configuration

    Mileage (mpg)

    CO (g/mi)

    HC (g/mi)

    NOx (g/mi)

    PM (g/mi)

    Exp 40.3 2.28 0.54 0.74 0.14Simu 40.4 2.29 0.54 0.89 0.12

    050

    100150200250300350400450

    0 200 400 600Time (s)

    Exha

    ust T

    empe

    ratu

    re (o

    C)

    ExperimentPSAT

    0102030405060708090

    0 200 400 600Time (s)

    NO

    x Em

    issi

    ons

    (mg/

    s) ExperimentPSAT

  • 6

    0

    100

    200

    300

    400

    500

    600

    700

    0 100 200 300 400Time (min)

    NO

    , NO

    2, N

    H3

    (ppm

    )

    NO NH3

    NO Inlet

    Temperature (oC)

    NO2

    200ppmNH3

    300ppmNH3

    400ppmNH3

    500ppmNH3

    600ppmNH3

    700ppmNH3

    800ppmNH3

    SCR

    0.00.20.40.60.81.0

    0 20 40 60 80 100Time (s)

    CO

    (g/s

    )

    PredictionExperimentTWC Inlet

    TWC

    Simulated Aftertreatment System

    Stoichiometric engines• 1D TWC

    Lean-burn engines• 1D LNT (SAE 2010-01-0082)• 1D SCR (Cu-ZMS-5)• DOC/LNT/CDPF • DOC/SCR/CDPF

    The models were validated with public domain experimental data 0

    100200300400500600700800

    0 500 1000 1500 2000Time (s)

    NO

    x Em

    issi

    ons

    (ppm

    )

    -1200-1000-800-600-400-200020040060080010001200

    LNT-out SimulationLNT-out ExperimentLNT-inlet condition

    LNT

    0.0

    5.0

    10.0

    15.0

    20.0

    0 2 4 6Time (hr)

    Pres

    sure

    Dro

    p (K

    Pa)

    PredictionExperiment

    100% load

    75% load

    50% load

    25% load

    DPF

  • 7

    Results and Analysis

  • 8

    Std. gasoline vs. diesel baseline HEV comparison indicates large diesel fuel economy benefit

    Diesel vs. Gasoline HEV:+13% energy density for diesel+6% engine efficiency for diesel

    = +19% fuel economy for diesel (mpg)

    Simulation parameters: 1450 kg HEV One UDDS cycle at hot start 1.3 kWhr battery charge (65%) 1.5-L gasoline & diesel engines No emissions control device

    Diesel HEV without any aftertreatment: • 84.2 mpg diesel• 36% cycle average engine efficiency

    Gasoline HEV without any aftertreatment:• 70.7 mpg gasoline (71.2mpg @ SAE 2007-01-0281)• 34% cycle average engine efficiency

    +13%

    +6%

    Engine CO HC NOx PMGasoline (g/mi) 3.74 0.65 1.76 0.00

    Diesel (g/mi) 0.44 0.11 1.14 0.62

    Engine-out Emissions

    0%

    10%

    20%

    30%

    40%

    50%

    0 10 20 30 40Engine Power (kW)

    Engi

    ne E

    ffici

    ency

    GasolineDiesel

  • 9

    PHEV baseline comparison also indicates large potential diesel efficiency benefit similar to HEVSimulation condition:PHEV (1450kg HEV+120kg battery)Cold start, 5 kWh charge (100%)5 consecutive UDDS cycles 1.5-L gasoline and diesel enginesNo emissions control device

    Results:Overall 19.9% better mpg for diesel (6% higher energy efficiency)

    0

    20

    40

    60

    80

    0 1372 2744 4116 5488 6860Time (s)

    Vehi

    cle

    Spee

    d (m

    ph)

    0.00

    0.10

    0.20

    0.30

    0.40

    Fuel

    Con

    sum

    ptio

    n (g

    al)

    Vehicle Speed Diesel PHEV SI PHEV

    0

    50

    100

    150

    200

    250

    1 2 3 4 5The Five Consecutive UDDS Cycles

    Fuel

    Eco

    nom

    y (m

    pg)

    0

    50

    100

    150

    200

    250

    Exp_SI_PHEVSimu_SI_PHEVSimu_diesel_PHEV

    0

    1

    2

    3

    4

    5

    6

    0 1 2 3 4 5The Five Consecutive UDDS Cycles

    Bat

    tery

    Ene

    rgy

    (kW

    hr)

    0

    1

    2

    3

    4

    5

    6Exp_SI_PHEVSimu_SI_PHEVSimu_diesel_PHEV

    * SAE 2007-01-0283

    * *

  • 10

    However, lean NOx control has a big impact on expected diesel HEV efficiency advantage

    Results:78.8 mpg diesel vs. 67.3 mpg gasoline 0.12 g/mile NOx vs. 0.12g/mile NOxLNT fuel penalty for diesel: 2.8%With LNT diesel efficiency advantage

    just over 3%

    Simulation parameters:1450kg HEV 1.3 kWhr battery (65% charge)Cold start UDDS drive cycle1.5-L gasoline w/ 2.2-L TWC 1.5-L diesel engines w/ 2.4-L LNTEngine fueling modulation for LNT

    regeneration (e.g. 60s lean vs. 3 rich) 030

    60

    90

    120

    150

    0 500 1000 1500Time (s)

    NO

    x em

    issi

    ons

    (mg/

    s) Gasoline engine-outTWC-out

    0

    20

    40

    60

    0 500 1000 1500Time (s)

    NO

    x em

    issi

    ons

    (mg/

    s) Diesel engine-outLNT-out

    LNT fuel efficiency penalty has spurred interest in SCR NOx control

  • 11

    Urea SCR saves diesel efficiency advantage, but causes extra NH3 slip and a slightly less NOx reduction

    Results:

    Simulation parameters:1450kg HEVCold start UDDS drive cycle1.3 kWhr battery (65% charge)1.5-L diesel engines w/ 2.4-L SCRUrea inj. for SCR (1:1 NH3 to NO)No NH3 slip control for SCR

    TWC LNT SCRTailpipe NOx (g/mi) 0.12 0.12 0.20

    Fuel Economy (mpg) 67.3 78.8 80.9Fuel penalty (%) 0.00 2.80 0.00

    NH3 slip (g/mi) 0.00 0.00 0.04

    0600

    12001800240030003600420048005400600066007200

    0 200 400 600 800 1000 1200 1400Time (s)

    Engi

    ne S

    peed

    (rpm

    )

    Veh

    icle

    Spe

    ed (k

    m/h

    )

    200

    406080

    100120

    Engine off Engine on

    0

    20

    40

    60

    0 500 1000 1500Time (s)

    NO

    x em

    issi

    ons

    (mg/

    s) Diesel engine-outSCR-out

  • 12

    We are using this SCR model to compare PHEVs with different NOx control technologies

    Results:Tailpipe NOx: SCR=0.16g/mi; LNT=0.15g/miSCR generated 0.068g/mile NH3 emissions Fuel econ.: SCR=136.4mpg; LNT=133.8mpg1.9% penalty in fuel efficiency for LNT vs.

    SCR (less LNT penalty than previous HEV case due to less NOx removal)

    Simulation parameters: PHEV powered by 1.5-L diesel engine 5 kWh, 24 Ah battery charge (full charge) 5 UDDS cycles beginning with cold start 2.4-L LNT, 2.4-LUrea SCR LNT regeneration: 60s lean vs. 3 richUrea inj. for SCR (1:1 NH3 to NO)No NH3 slip control for SCR

    01020304050607080

    0 1372 2744 4116 5488 6860Time (s)

    NO

    x Em

    issi

    ons

    (mg/

    s) Engine-outSCR Outlet

    High NOx spike

    01020304050607080

    0 1372 2744 4116 5488 6860Time (s)

    NO

    x Em

    issi

    ons

    (mg/

    s) Engine-outLNT Outlet

  • 13

    Key issue is the impact of the integration of aftertreatment device models on diesel HEV fuel efficiency and EmissionsSimulation parameters: 1450kg HEV w/ 80 UDDS drive cycles 1.5-L gasoline w/ TWC 1.5-L diesel engines w/

    1): DOC/LNT/CDPF; 2): DOC/SCR/CDPF(DPF regen.: 600s if pressure drop >7.5kPa)

    Results: Better fuel economy for DOC/SCR/CDPF One DPF regeneration event (for diesel HEV) CO, HC, and PM meet Tier 2 Bin 5, except NOx

    0.00

    0.02

    0.04

    0.06

    0.08

    0.10

    TWC DOCLNTDPF

    DOCSCRDPF

    HC

    Em

    issi

    ons

    (g/m

    ile)

    Tier 2-Bin 5

    0.00

    1.00

    2.00

    3.00

    4.00

    5.00

    TWC DOCLNTDPF

    DOCSCRDPF

    CO

    Em

    issi

    ons

    (g/m

    ile)

    Tier 2-Bin 5

    0.00

    0.10

    0.20

    0.30

    0.40

    TWC DOCLNTDPF

    DOCSCRDPF

    NO

    x Em

    issi

    ons

    (g/m

    ile)

    Tier 2-Bin 5

    Challenge

    0.00

    0.01

    0.02

    TWC DOCLNTDPF

    DOCSCRDPF

    Soot

    Em

    issi

    ons

    (g/m

    ile)

    Tier 2-Bin 5

    90%

    95%

    100%

    105%

    Gasoline Diesel withDOC/LNT/DPF

    Diesel withDOC/SCR/DPF

    Diesel withoutaftertreatment

    Nor

    mal

    ized

    Ene

    rgy

    Usa

    ge

    3.4%6.0%

    -0.12%

  • 14

    We recently studied the effect of thermal insulation on HEV fuel efficiency and emissionsSimulation parameters: 1450kg HEV with 80 UDDS drive cycles Insulation material: 3.0mm mineral fiberAftertreatment device: Shell, Can,

    Insulation layer, and Catalyst

    Results: Improve fuel economyEnhance CDPF self regenerationReduce NOx and NH3 emissions

    0.00

    0.10

    0.20

    0.30

    0.40

    TWC DOCLNTDPF

    DOCSCRDPF

    NO

    x Em

    issi

    ons

    (g/m

    ile)

    w/o insulationw/ insulation

    Tier 2-Bin 5

    0.00

    0.02

    0.04

    0.06

    0.08

    0.10

    W/Othermal

    insulation

    W/thermal

    insulation

    NH

    3 Slip

    (g/m

    ile)

    01020304050607080

    0 40000 80000 120000Time (s)

    Soo

    t Lay

    er T

    hick

    ness

    ( µm

    )

    DOC/SCR/DPFw/o InsulationDOC/SCR/DPF w/Insulation

    DPF regen

    90%

    95%

    100%

    105%

    Gasoline Diesel withDOC/LNT/DPF

    Diesel withDOC/SCR/DPF

    Diesel withoutaftertreatment

    Nor

    mal

    ized

    Ene

    rgy

    Usa

    ge w/o insulationw/ insulation

    3.46.0

    -0.12%

    2.2

    2.0

  • 15

    Summary Diesel HEV/PHEV achieve 19% higher fuel economy (mpg) than

    gasoline HEV/PHEV without emission control device• 13% higher energy density for diesel• 6% better engine efficiency for diesel

    NOx/PM emission control reduce diesel HEV/PHEV fuel efficiency advantages • LNT add about 2%-4% fuel penalty in HEVs • SCR saves diesel efficiency advantage, but causes extra NH3 slip • DPF add about 2%-3% fuel penalty in HEVs

    The integrated system of DOC/SCR/CDPF • Save 3.4% diesel efficiency advantage• Meet Tier 2 Bin 5 regulation for CO, HC, and PM, except NOx• Good insulation boosts diesel efficiency advantage and emission reduction

    NOx emissions control is still challenging for gasoline and diesel HEV/PHEV

  • 16

    Acknowledge

    The authors thank Lee Slezak and U.S. Department

    of Energy for support to this research

  • 17

    Thanks

  • 18

    ORNL 1D TWC model has been validated against independent OEM data

    Model validation conditions: • Vehicle chassis data for gasoline engine• Supplied by OEM collaborator• UDDS cycle, cold start

    Integrated emissions:• CO (g/mi): 0.833(exp) vs. 0.836(simu) • NOx (g/mi): 0.156(exp) vs. 0.157(simu) • HC (g/mi): 0.139(exp) vs. 0.148(simu)

    0.00.20.40.60.81.0

    0 20 40 60 80 100Time (s)

    CO

    (g/s

    )

    PredictionExperimentTWC Inlet

    0.0

    3.0

    6.0

    9.0

    0 500 1000 1500Time (s)

    Cum

    ulat

    ive

    CO

    (g)

    PredictionExperiment

    0.00

    0.03

    0.06

    0.09

    0 20 40 60 80 100Time (s)

    HC

    (g/s

    )

    PredictionExperimentTWC Inlet

    0.0

    1.0

    2.0

    3.0

    0 500 1000 1500Time (s)

    Cum

    ulat

    ive

    HC

    (g)

    PredictionExperiment

    0.00

    0.04

    0.08

    0.12

    0 20 40 60 80 100Time (s)

    NO

    x (g

    /s)

    PredictionExperimentTWC Inlet

    0.0

    1.0

    2.0

    3.0

    0 500 1000 1500Time (s)

    Cum

    ulat

    ive

    NO

    x (g

    )

    PredictionExperiment

    0

    250

    500

    750

    1000

    0 500 1000 1500Time (s)

    Tem

    pera

    ture

    (K)

    PredictionExperiment

  • 19

    ORNL basic 1D DOC model has been validated against open literature experimental data

    ORNL DOC model

    • Three global reactions: (1) CO oxidation, (2) NO oxidation, (3) HC oxidation

    Model validation conditions:

    • Experimental data from the open literature (P. Triana, Dissertation, MTU, 2005)

    Example results

    • 5%-100% engine load at the engine speed of 1400rpm-2200rpm

    0

    100

    200

    300

    0 200 400 600Temperature (oC)

    CO

    (ppm

    )

    ExpModel

    0

    200

    400

    600

    0 200 400 600Temperature (oC)

    NO

    ,NO

    2 (pp

    m) Exp_NO

    Mode_NOExp_NO2Model_NO2

    0%

    40%

    80%

    120%

    0 200 400 600Temperature (oC)

    CO

    Con

    vers

    ion

    ExpModel

    0

    100

    200

    300

    0 200 400 600Temperature (oC)

    HC

    (ppm

    )

    ExpModel

    0%

    30%

    60%

    90%

    0 200 400 600Temperature (oC)

    NO

    Con

    vers

    ion Exp

    Model

    0%

    40%

    80%

    120%

    0 200 400 600Temperature (oC)

    HC

    Con

    vers

    ion

    ExpModel

  • 20

    We have utilized literature data to construct an initial 1-D transient Simulink module for SCR-NOx control

    SCR model assumptions:•Currently CuZSM5 catalyst•NH3 adsorption/desorption•NO SCR reaction•NO2 SCR reaction•Fast SCR reaction (NO + NO2)•NO and NH3 oxidation

    SCR vs. LNT:•SCR uses urea for NOx reduction

    •SCR does not require PGM catalyst

    •No modulation of engine is required

    •LNT causes fuel penalty for NOx reduction

    •LNT requires PGM catalyst

    SAE 2009-01-0897

    Steady State Response

    ORNL Model

    Points from experiments by Olsson et.al, Applied Catalysis B: Environmental, 81(2008), 203-217. Lines from ORNL simulation.

    0

    100

    200

    300

    400

    500

    600

    700

    0 100 200 300 400Time (min)

    NO

    , NO

    2, N

    H3 (

    ppm

    )NO NH3

    NO Inlet

    Temperature (oC)

    NO2

    200ppmNH3

    300ppmNH3

    400ppmNH3

    500ppmNH3

    600ppmNH3

    700ppmNH3

    800ppmNH3

  • 21

    ORNL DPF model for simulating soot emissions filtration compares well with open literature

    Model validation conditions:

    • Experimental data from the open literature (SAE 2003-01-0841)

    Validation Results:• 25%-100% engine load at the

    engine speed of 1800rpm

    CDPF model assumptions:•Two-layer model•Thermal and catalytic oxidation

    reactions

    0.0

    5.0

    10.0

    15.0

    20.0

    0 2 4 6Time (hr)

    Pres

    sure

    Dro

    p (K

    Pa)

    PredictionExperiment

    100% load

    75% load

    50% load

    25% load

    Engine load 25% 50% 75% 100%Exp (g) 18 35 103 55

    Model (g) 18 34 108 53

    Cumulative soot

    (Cited from SAE 1999-01-0469)

  • 22

    0100200300400500600700800

    0 500 1000 1500 2000Time (s)

    NO

    x Em

    issi

    ons

    (ppm

    )

    -1200-1000-800-600-400-200020040060080010001200

    LNT-out SimulationLNT-out ExperimentLNT-inlet condition

    0100200300400500600700800

    0 30 60 90 120 150 180Time (s)

    NO

    x Em

    issi

    ons

    (ppm

    ) SimulationExperiment

    LNT Inlet

    LNT Outlet

    ORNL LNT model for simulating lean NOx emissions compares well with observations

    Simualtion Parameters• Engine: 1.7-L Mercedes diesel engine

    • Steady-state engine operation (A): 57s Lean burn and 3s rich combustion

    • FTP driving engine operation (B): a combined driving cycle of UDDS and US06

    A

    B

    Steady-state operation

    FTP driving operation

    Successfully demonstrates reasonably agreement with observations for both steady-state and FTP driving engine operation (SAE 2010-0882).

    LNT-out NOx(g/mi)

    NOx Reduction(%)

    Simu 0.05 94.1Exp 0.04 95.5

  • 23

    Thermal insulation improve on aftertreatment device thermal operation conditionsSimulation parameters:PHEV powered by 1.5-L diesel engine

    5 kWh, 24 Ah battery charge (full charge)

    5 UDDS cycles beginning with cold start

    2.4-LUrea SCR (Cu-ZSM-5 catalyst)

    Insulation material: 3.0mm mineral fiberAftertreatment device: Sheel, Can,

    Insulation layer, and Catalyst

    Results:Avoid multiple cold start in PHEVReduce NOx and NH3 emissions

    0

    50

    100

    150

    200

    250

    300

    350

    0 1000 2000 3000 4000 5000 6000 7000Time (s)

    Cat

    alys

    t Tem

    pera

    ture

    (oC

    )

    0 mm insulation2 mm insulation5 mm inulsationAdiabatic

    A long cold startat beginning

    Multiple cold starts

    0

    10

    20

    30

    40

    50

    60

    0 1000 2000 3000 4000 5000 6000 7000Time (s)

    SCR

    -out

    NO

    x (m

    g/s)

    0 mm insulation2 mm insulation5 mm inulsationAdiabatic

  • 24

    ObjectivesDevelop engine maps and aftertreatment models for simulating the

    performance of conventional, advanced hybrid and plug-in hybrid vehicles operating with gasoline, diesel and alternative fuels as well as advanced engine combustion modes

    In the presentation

    We focus on reporting simulated comparison of gasoline and diesel HEVs with explicit consideration of

    the impacts of emissions control

  • 25

    Future work

    Smart control strategies for utilization of ammonia in SCRs and reductant in LNTs

    Potential impact of cold start or low temperature emissions traps technology

    Optimization of integrated DOC/LNT/SCR/CDPF systems

    Effects of advantage engine combustion (e.g. GDI, HCCI, PCCI) on improving fuel economy and emission reduction

    Effects of waste energy recovery on improving fuel economy and emission reduction

    Coordination• Close to coordination with OEM, national laboratories, and

    universities to maintain relevance to the latest engine/emissions technologies for HEV/PHEV and industry needs