Addressing performance balancing in fuel economy driven vehicle programs

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EAEC-ESFA 2015 Presenter: Dr. Filip Deblauwe Addressing performance balancing in fuel economy driven vehicle programs Smarter decisions, better products.

Introduction Performance balancing Application examples Page 2

Introduction Performance balancing Application examples Page 3

Fuel efficiency Engineering Challenges Balancing Emissions, Cost and Brand Performance Keep the CO2 emissions objective Growing part of electrification/hybridization Introduction of waste heat recovery, alternative fuels, CVT and up to 9/10 gears AT Vehicle integration is becoming a major issue Growing complexity of technologies Growing complexity control systems NVH issue with downsizing CHINA Maintain the Customer Satisfaction & Cost Driving experience Cost of ownership Reliability & Safety Different solutions around the globe Local preferences (AT/MT, Gasoline/Diesel/HEV,..) Difference in legislation Page 4 Source: McKinsey & C - Strategy & Corporate Finance in Automotive- Aug 2013

Powertrain Development - Industry Challenges Performance and Losses Quasi-steady state and low frequencies. Optimization of ratios and control strategies over a performance cycle. Prediction of heat release leading to heat exchanger sizing. Prediction of losses to improve consumption. The interest in losses has increased dramatically in the past years. Comfort Comfort of driver and passengers leads to the interest in low frequencies (<40 Hz). The vehicle will move and vibrate with the drive line dynamics including the engine moving parts. Every controlled subsystem of the drive line is subject to affect the torque provided to the wheels and therefore the vehicle motion. NVH Noise, Vibration & Harshness Generally high frequency (> 40Hz) due to hydraulic dynamics, mechanical contacts, slip control It leads to noise and durability issues. High frequencies of mechanical parts will involve component deflection leading to the need for FEA to obtain surface velocities. Durability and Strength Design should withstand loads and conditions for the entire expected life time. Performance and Losses 0 Hz 40 Hz khz NVH Durability Comfort Page 5 Frequency

Introduction Performance balancing Application examples Page 6

How to handle different vehicle attributes PROBLEM STATEMENT Fuel eco Perfo NVH Driveability Handling Ride Each attribute requires different model scale to reproduce Each attribute requires different evaluation scenarios and metrices Some parameters have an influence on multiple attributes and require a balancing exercise Page 7

Driveline NVH Optimization Balancing with emission, fuel economy, drive ability HF (crank angle) engine model Bore, stroke, # cyl Spark advance, Valve timing A/F ratio, IMEP, BMEP Torque release Heat release Emissions Engine Performance Emissions Fuel Consumption Mean value engine Driver & basic control Fuel Economy Page 8 Full Vehicle F(vehicle, TM, ) F(engine parameters)

Driveline NVH Optimization Balancing with emission, fuel economy, drivability Engine Performance Emissions Fuel Consumption F(vehicle, TM, ) F(engine parameters) Fuel Economy Driver, Vehicle Engine mounting Page 9 Clutch / TM stiffness/damping (non-linear) Transient drive ability Shock & Jerk, Shift shock Engine torsional driveline excitation: Idle Drive ability Vibration Comfort

Driveline NVH Optimization Balancing with emission, fuel economy, drivability Engine Performance Emissions Fuel Economy Drive ability Vibration comfort Suspension dynamics Noise path contributions 3D suspension Body flexibility & NTFs (TEST or CAE) Vibration comfort Interior low frequency noise NVH Page 10

Balancing Energy Management and Thermal Comfort Integrated test and simulation solution for vehicle energy management In Vehicle Testing Integrating Test and Simulation Validate & update models Virtual sensors from models Simulation Plant model Control Multi level Multi physics Climatic Vehicle Cell, Robot Driver, Dedicated instrumentation Page 11 In-depth systems analysis Systems in real boundaries Virtual integration of new systems Weak spots & optimization Analysis Energy losses & flow Benchmarking Fuel Eco optimization Study alternate systems

Balancing Energy Management and Thermal Comfort Frontloading Performance optimization for Vehicle Energy Management Inputs: Tests, CAD Vehicle Energy Management Model Fuel eco, subsystems interactions analysis Energy transfers analysis Sensitivity / new technology analysis Coolant temperature Engine block temperature In-situ energy measurements High fidelity subsystem models, including transient scenario s High fidelity for fuel economy in both cold start and hot start conditions Page 12

Multi-attribute Balancing Balancing drivability with performances and fuel economy attributes Process Define scenarios and targets Build the vehicle model and simulate it Evaluate and rate the vehicle behavior Balance attributes Fuel economy Emissions Drivability (NVH) Evaluate MAB criterions And rate the vehicle Compare Different vehicles Different design choices Different parameter set Page 13

Introduction Performance balancing Application examples Page 14

RENAULT makes the driveability of conventional and electric vehicle objective with LMS Imagine.Lab AMESim Electric motor Mounts Controller Tires Track test correlation: Full tip-in after 30kph (constant speed) Source: Using LMS AMESim for Drivability Evaluation of an Electric Vehicle, Benjamin ELLER, RENAULT, The International LMS Engineering Simulation Conference, München, 25th February 2010 Page 15

Drivability optimization in context of fuel economy Early concept phase investigations of powertrain/vehicle behavior using 1D/3D simulation and Test 1D Simulation Combustion process and parameters Coupling to ECU Control models for gearbox, torque converter, active suspension ECU Combustion Gearbox Controls Suspension Controls 3D Simulation & Test Detailed MBD model: powertrain, driveline, chassis and suspension Integrated controls for gearbox, active suspension Pressure Driver Input - Throttle Driveability: Tip-in Tip-out, WOT Gear shift Transient Response Development of High-Fidelity Combustion Driven Vehicle Models for Driveability Using Advance Multi-Body Simulations, JSAE 2007-1-1634 Page 16

Low frequency driveline booming Solution approach 1D engine/tm + 3D & experimental chassis&body ECU/TCU Engine T/M Mounting body Cavity Cylinder Pressure engine Transmission and driveline Combustion Pressure Engine+T/M Model Driveline+Chassis & Vehicle Acc/Noise response ECU / TCU Clutch+T/M+TC Driveline properties Geometric & mount design Page 17

Seat track acceleration Electric Vehicle Drivetrain Shudder Controls Torque flow Motor Multi-body dynamics model with Controls Seat track Shudder Final Drive Mounts Suspension From Supplier (S-function) Motor Control From LMS (High Level Strategy) Many What if scenario analyses were performed with Active Damping On and Off Active Damping Off Sample Result Active Damping On Vibration comparison Time (s) Page 18

Introduction Performance balancing Application examples Page 19

Thank you Smarter decisions, better products.