HCCI* Modeling, Calibration and Analysis by Integrating GT ... · • HCCI Modeling and Simulation...

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European GT-SUITE Conference 2007

HCCI* Modeling, Calibration and Analysis by Integrating GT-Power and Matlab-

Simulink Capabilities

Dipl.-Ing. Axel KieferDr.-Ing. André KulzerSantoshSantosh RaoRao M.Sc.M.Sc.

Novel Combustion Engine ManagementCorporate Research and Advance Engineering

October 08th 2007* Also known as Controlled Auto Ignition (CAI)

10/08/2007 | © Robert Bosch GmbH 2007. All rights reserved, also regarding any disposal, exploitation, reproduction, editing, distribution, as well as in the event of applications for industrial property rights.

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Agenda

• HCCI Motivation

• Setup of a HCCI engine model in GT Power with EHVS and GDI

• Use of a Wiring Harness together with Matlab-Simulink©

• Integrated Arrhenius approach to predict combustion

• Validation of the simulation with measurements

• Summary


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PrincipleHot charge (air, fuel, residuals) is compressedNear TDC hot spots start auto-ignition

volumetric reaction takes place

Fast heat release withHigh efficiency (dethrottling)Near zero NOx (no hot flame)Low HC+CO (lean operation)

Critical Issues:Lack of a ignition trigger (no direct initiator of combustion)Limited operation map area (lean operation, press. grad., noise, low temp.)Transient control of combustion and switch between two combustion modes

GOALSDevelop a system to understand & address these critical issuesProvide a setup for offline simulations which predicts the HCCI behaviour


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Setup of HCCI engine model in GT Power with EHVS and GDI1 Cyl. 450cc Research Enginewith GDI & EHVS

Wiring

Harness

EngineParameterse.g. rpm, bore,stroke

InletExhaust

-360 -240 -120 -0 120 240Kurbelwinkel [Grad]

CombustionParameterse.g. AnchorAngle

SOIFuel mass


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Integrated Arrhenius approach to predict combustion

-180 -90 0 90 180 270 360 450 540φ [CAD]

IVEV

Arrhenius Integral

=∫−

θ

IVC

baRTEa

OFAe ][][ 2 k

1

1+

⎟⎠⎞

⎜⎝⎛

∆−−

−=m

oa

b ex θθθ

xb → Mass fraction burntθ0 → Crank angle at SOC∆θ → Combustion durationm → Shape factor

Vibe Function

SOI

Arr

h. In

tegr

al

oθ

k

k

oθ


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Validation Process

1 Cyl., 450cc, Research engine

SOI

Valve Lift

Eng. Par

….

ExtractionMeasurement 1-D Model

High Order Reference Model for HCCI


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Experiments validated

1000

2000

3000

rpm

characteristic values of experiment

0

5

10

15

mF

300

350

400

SO

I

Fuel Parameters• Split Inj.• SOI

Speed

Characteristic values of Experiments


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Simulation vs. Measurements

Experiments

SimulationMeasurement

BMEP

Mass FractionBurnt

(MFB50)

The simulations show a very good accuracy & most important of all, a consistent tendency!


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Summary

• HCCI Modeling and Simulation was realized with relatively few steps

• The Wiring Harness functionality was used extensively for Analysis which helped us

• understand the basic principles of HCCI combustion, for e.g. the Start of Combustion, using the integrated Arrhenius approach

• gain a deeper insight in studying various factors of influence

• Measurements at the test bench confirm the results & reaffirm the need of 1-D Simulation Tools for extensive use in the Automotive industry


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HCCI Modeling, Calibration and Analysisby Integrating GT-Power &

Matlab-Simulink Capabilities

Thank you for your time & attention

Dipl.-Ing. Axel KieferDr.-Ing. André KulzerSantoshSantosh RaoRao M.Sc.M.Sc.

Novel Combustion Engine ManagementCorporate Research and Advance Engineering

October 08th 2007


HCCI* Modeling, Calibration and Analysis by Integrating GT ... · • HCCI Modeling and Simulation...

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