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Key considerations and roadmap for advanced engine thermal management simulation: Technical Webinar discussion.
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Advanced Engine Thermal Management
Sudhi Uppuluri Principal Investigator,
CSEG, LLC
Computational Sciences Experts Group
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4. Optimize: We build optimization tools or integrate with existing ones to optimize key variables in the system
3. Interface: We build simplified interfaces for complex models to enable faster and wider use of simulation models
The Speaker
Sudhi Uppuluri, Principal Investigator Sudhi has over 14 years of experience in the simulation industry. He worked as a consulting engineer and sales manager at Flowmaster USA for 8 years where he worked on various advanced fluid system modeling in Automotive and Aerospace fields. He has various technical publications on related subjects in SAE and AIAA journals. He holds a Masters in Aerospace Engineering from the University of Illinois at Urbana-Champaign and a Certificate in Strategy and Innovation from the MIT Sloan School of business. Email: [email protected] Full Profile on Linked in: Sudhindra Uppuluri
Topics
a) Engine thermal management challenges
b) Traditional cooling system – Key considerations
c) HEV, EV specific challenges
d) Bigger picture
e) Roadmap
Why is Engine Thermal Management important?
• Cold Engine = Bad Fuel Economy – Incomplete
combustion – Increased thermal
losses through the combustion chamber walls
– Increased friction losses with the increase of the lubricant oil viscosity.
Frictional losses reduce as engine warms up
Referemce: 2000-01-0299 Warm-Up of a D.I. Diesel Engine:
Experiment and Modeling L. Jarrier and J. C. Champoussin Ecole Centrale de LYON R.
Yu Renault D.R. D. Gentile University of Versailles
Challenges for Engine Thermal Management
Engines are getting smaller More components
need cooling
Not enough heat for satisfactory heater core performance. Cabin comfort is compromised!
Electric components (Battery, inverter etc.) need to be cooled Overheating and fires!
Tighter packaging!
Right size component.
Fuel economy sensitive to temperatures!
Challenges – Simulating Engine Thermal systems
Why Engine Thermal
Management Modeling is
hard!
Responsibility fragmented across the organization
Model is data
hungry
Data not readily
available Majority of
data is steady-
state
Experimental procedures are for validating designs, not
models
Requires expertise across
multiple subjects
Lets look at key considerations in modeling a
transient Engine Thermal model
Steady State Flow Model – Starting point
Fairly Straightforward – Based on Geometry and
component supplier data
Key issue #1: Model necessary thermal interactions between sub-
systems
Requires integration of all key thermal fluid systems –
Cooling, AC, Engine Oil, Transmission Oil, Front-End cooling pack
Key Issue #2: Get Heat additions correct
+Qcomb
+QFric
Combustion heat = Energy from Fuel &Air mixture – Exhaust Energy – Work (indicated Power)
Frictional heat = Indicated Power –Pumping Work
Key issue #2a: Get heat losses correct
Heat Loss to the ambient (Conduction + Natural convection + Forced convection)
Heat Loss to the Coolant
Heat Loss to the Oil
Heat absorbed by the mass
Where the heat goes during warm-up
SAE 2000-01-0299 Warm-Up of a D.I. Diesel Engine: Experiment and Modeling L. Jarrier and J. C. Champoussin Ecole Centrale de LYON R. Yu Renault D.R. D. Gentile University of Versailles
Key issue #3: Modeling Thermal inertia right
Thermal inertia option 1 – Capturing minimum number of masses to predict warm-up
Include the correct volume of fluid. (Thermal inertia of the fluid)
Cylinder head
Upper block
Lower block
Sump Engine Oil Circuit
Coolant Circuit
Key issue #3: Modeling Thermal inertia right
• Thermal inertia option 2 – Capturing every heat transfer path (more components = more data required)
Reference: SAE paper 910302, Kaplan and Heywood.
Key issue #3: Modeling Thermal inertia right
• Thermal inertia option 3 – Capturing every heat transfer path (more components = more data required)
Reference: SAE paper 960073, Bohac, Baker and Assanis.
Where the heat goes during warm-up
Reference: SAE paper 931153, Shayler et al.
Key Factors in warm-up
Thermal Inertia
Heat distribution and loss
Key Issue #5: Include a dynamic coolant Thermostat
• Include dynamic model – Lift vs temperature
(supplier data, left) – Test data (below) – Dynamic mechanical model
HEV, EV specific challenges
• Li-ion battery cooling is • more than just an
additional isolated • cooling task. It requires
• complex thermal management and
• careful analysis
• Reference: Behr Technical Press Day 2009; http://www.behr.de/internet/behrmm.nsf/lupgraphics/Behr_Thermomanagement_TPT09_E.pdf/$file/Behr_Thermomanagement_TPT09_E.pdf
HEV Additions – front-end cooling pack
• Reference: Behr Technical Press Day 2009; http://www.behr.de/internet/behrmm.nsf/lupgraphics/Behr_Thermomanagement_TPT09_E.pdf/$file/Behr_Thermomanagement_TPT09_E.pdf
Segmented heat exchanger analysis to enable higher fidelity cooling pack analysis
For 600s simulation, starting from 40degC:
standard model 0.4347 kg
with coldstart friction engine 0.4557 kg +4.8%
with coldstart friction transmission 0.4543 kg +4.5%
with coldstart friction engine & transm. 0.4799 kg +10.4%
Improving fuel economy
Accurate numerical model of Engine Thermal Management
Predictive fuel economy and Engine thermal model
Evaluate a wide array of solutions to improve fuel economy and added HEV cooling challenges
0 50 100 150 200 250 3000
0.5
1
1.5
2
2.5
3
3.5
4
4.5
5
t [s]
fue
l co
nsu
mp
tio
n [kg
/s]
standard modelwith coldstart friction enginewith coldstart friction transmissionwith coldstart friction eng&trans
Functionality
Valu
e
Thermo-Fluid System Analysis Roadmap
Ensure accurate system operation • Flow balancing to ensure all components have
adequate flow • Evaluate individual component performance
Troubleshoot and Optimize • Transient behavior of system providing insight
into delivering a robust design • Optimization of system variables
Collaborate • Provide trade-off across multiple systems (cooling,
Lubrication, AC, transmission, front-end cooling pack)
• Value-added partnership with customers and suppliers
Deliver • Fuel economy benefits with
effective thermal management strategy
• Predictive analytical capability reducing prototype costs
Analysis basics in place. Are we here?
Topics covered
a) Engine thermal management challenges
b) Traditional cooling system – Key considerations
c) HEV, EV specific challenges
d) Bigger picture
e) Roadmap
FURTHER DISCUSSION
Sudhi Uppuluri has over 14 years of experience in the simulation industry. He worked as a consulting engineer and sales manager at Flowmaster USA for 8 years .He has various technical publications on related subjects in SAE and AIAA journals. He holds a Masters in Aerospace Engineering from the University of Illinois at Urbana-Champaign and a Certificate in Strategy and Innovation from the MIT Sloan School of business. Contact: Sudhi Uppuluri Principal Investigator [email protected] (781) 640 2329 www.cseg.us