Vehicle Propulsion Systems Lecture 2. Energy System Overview. W2M Energy Paths. Evaluating the integral. Mechanical Energy Demand of a Cycle

Similar documents
About the hand-in tasks. Vehicle Propulsion Systems Lecture 3. Outline. Energy System Overview. W2M Energy Paths. The Vehicle Motion Equation

Axial Turbine Analysis

SWITCHING PROCESS IN LIMITED SLIP DIFFERENTIAL

THE EFFECT OF TORSIONAL RIGIDITY BETWEEN ELEMENTS ON FREE VIBRATIONS OF A TELESCOPIC HYDRAULIC CYLINDER SUBJECTED TO EULER S LOAD

Note 10. Modeling and Simulation of Dynamic Systems

PHYS 705: Classical Mechanics. Calculus of Variations II

Lecture 8 Modal Analysis

CHAPTER 6. LAGRANGE S EQUATIONS (Analytical Mechanics)

Homework Chapter 21 Solutions!!

Week3, Chapter 4. Position and Displacement. Motion in Two Dimensions. Instantaneous Velocity. Average Velocity

A particle in a state of uniform motion remain in that state of motion unless acted upon by external force.

Outline. Vehicle Propulsion Systems Vehicles as a hot topic is everlasting A diversity of powertrain configurations is appearing

CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE

Part C Dynamics and Statics of Rigid Body. Chapter 5 Rotation of a Rigid Body About a Fixed Axis

Physics 141. Lecture 14. Frank L. H. Wolfs Department of Physics and Astronomy, University of Rochester, Lecture 14, Page 1

KSH Bevel gear high speed screw jack

Week 9 Chapter 10 Section 1-5

First Law: A body at rest remains at rest, a body in motion continues to move at constant velocity, unless acted upon by an external force.

modeling of equilibrium and dynamic multi-component adsorption in a two-layered fixed bed for purification of hydrogen from methane reforming products

Design and Analysis of Landing Gear Mechanic Structure for the Mine Rescue Carrier Robot

EN40: Dynamics and Vibrations. Homework 4: Work, Energy and Linear Momentum Due Friday March 1 st

Modeling of Dynamic Systems

CHARACTERISTICS OF COMPLEX SEPARATION SCHEMES AND AN ERROR OF SEPARATION PRODUCTS OUTPUT DETERMINATION

Statistical Energy Analysis for High Frequency Acoustic Analysis with LS-DYNA

«ENERGETIC MACROSCOPIC REPRESENTATION (EMR)»

Pivot-Wheel Drive Crab with a Twist! Clem McKown Team November-2009 (eq 1 edited 29-March-2010)

Outline. Unit Eight Calculations with Entropy. The Second Law. Second Law Notes. Uses of Entropy. Entropy is a Property.

Physics 111: Mechanics Lecture 11

Physics 53. Rotational Motion 3. Sir, I have found you an argument, but I am not obliged to find you an understanding.

NUMERICAL DIFFERENTIATION

INSTANTANEOUS PISTON SPEED MEASUREMENT FOR MARINE DIESEL ENGINE COMBUSTION MONITORING

Research Report. Eiichi Ono, Yoshikazu Hattori, Yuji Muragishi. Abstract. Special Issue Estimation and Control of Vehicle Dynamics for Active Safety

PERFORMANCE OF HEAVY-DUTY PLANETARY GEARS

AP Physics 1 & 2 Summer Assignment

Physics 181. Particle Systems

NON LINEAR ANALYSIS OF STRUCTURES ACCORDING TO NEW EUROPEAN DESIGN CODE

Chapter 9: Statistical Inference and the Relationship between Two Variables

Presenters. Muscle Modeling. John Rasmussen (Presenter) Arne Kiis (Host) The web cast will begin in a few minutes.

Homework 2: Kinematics and Dynamics of Particles Due Friday Feb 7, 2014 Max Score 45 Points + 8 Extra Credit

Study on Active Micro-vibration Isolation System with Linear Motor Actuator. Gong-yu PAN, Wen-yan GU and Dong LI

Lecture 14: Forces and Stresses

Outline. Communication. Bellman Ford Algorithm. Bellman Ford Example. Bellman Ford Shortest Path [1]

«ENERGETIC MACROSCOPIC REPRESENTATION (EMR)»

Rotational Dynamics. Physics 1425 Lecture 19. Michael Fowler, UVa

VQ widely used in coding speech, image, and video

COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS

#64. ΔS for Isothermal Mixing of Ideal Gases

Assessment of Site Amplification Effect from Input Energy Spectra of Strong Ground Motion

Advanced Mechanical Elements

OPTIMAL CONTROL OF PARALLEL HYBRID ELECTRIC VEHICLES BASED ON THEORY OF SWITCHED SYSTEM

Coarse-Grain MTCMOS Sleep

Prof. A. Bouscayrol (University Lille1, L2EP, MEGEVH, France)

Stanford University CS359G: Graph Partitioning and Expanders Handout 4 Luca Trevisan January 13, 2011

DESIGN OPTIMIZATION OF CFRP RECTANGULAR BOX SUBJECTED TO ARBITRARY LOADINGS

Structure and Drive Paul A. Jensen Copyright July 20, 2003

PHYS 705: Classical Mechanics. Newtonian Mechanics

coordinates. Then, the position vectors are described by

Chapter 5. Solution of System of Linear Equations. Module No. 6. Solution of Inconsistent and Ill Conditioned Systems

Physics 207 Lecture 13. Lecture 13

Suppose that there s a measured wndow of data fff k () ; :::; ff k g of a sze w, measured dscretely wth varable dscretzaton step. It s convenent to pl

Moments of Inertia. and reminds us of the analogous equation for linear momentum p= mv, which is of the form. The kinetic energy of the body is.

Equivalent Circuit Analysis of Interior Permanent Magnet Synchronous Motor Considering Magnetic saturation

Please review the following statement: I certify that I have not given unauthorized aid nor have I received aid in the completion of this exam.

Queueing Networks II Network Performance

KSH Bevel gear high speed screw jack

Lecture Notes on Linear Regression

Module 3: Element Properties Lecture 1: Natural Coordinates

Physics 5153 Classical Mechanics. Principle of Virtual Work-1

χ x B E (c) Figure 2.1.1: (a) a material particle in a body, (b) a place in space, (c) a configuration of the body

Effect of loading frequency on the settlement of granular layer

NMT EE 589 & UNM ME 482/582 ROBOT ENGINEERING. Dr. Stephen Bruder NMT EE 589 & UNM ME 482/582

Physics 207 Lecture 6

STUDY OF A THREE-AXIS PIEZORESISTIVE ACCELEROMETER WITH UNIFORM AXIAL SENSITIVITIES

Errors for Linear Systems

Module 1 : The equation of continuity. Lecture 1: Equation of Continuity

INTERDEPENDENCE OF TORSIONAL VIBRATION DAMPER PARAMETERS ON CRANKSHAFT S TORSIONAL VIBRATIONS

The equation of motion of a dynamical system is given by a set of differential equations. That is (1)

Message modification, neutral bits and boomerangs

Energy, Entropy, and Availability Balances Phase Equilibria. Nonideal Thermodynamic Property Models. Selecting an Appropriate Model

STATISTICAL MECHANICS

Chapter 11: Angular Momentum

Physics 5153 Classical Mechanics. D Alembert s Principle and The Lagrangian-1

College of Computer & Information Science Fall 2009 Northeastern University 20 October 2009

PARTICIPATION FACTOR IN MODAL ANALYSIS OF POWER SYSTEMS STABILITY

Amplification and Relaxation of Electron Spin Polarization in Semiconductor Devices

Mathematical Preparations

CSci 6974 and ECSE 6966 Math. Tech. for Vision, Graphics and Robotics Lecture 21, April 17, 2006 Estimating A Plane Homography

Neuro-Adaptive Design - I:

Transfer Functions. Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: ( ) system

Power law and dimension of the maximum value for belief distribution with the max Deng entropy

Lecture 3 Examples and Problems

Methods and Tools. Average Operating Point Approach. To lump all engine operating points into one single average operating point.

EVALUATION OF THE VISCO-ELASTIC PROPERTIES IN ASPHALT RUBBER AND CONVENTIONAL MIXES

CHAPTER 10 ROTATIONAL MOTION

Calculation of time complexity (3%)

Chapter 9. The Dot Product (Scalar Product) The Dot Product use (Scalar Product) The Dot Product (Scalar Product) The Cross Product.

Analytical Gradient Evaluation of Cost Functions in. General Field Solvers: A Novel Approach for. Optimization of Microwave Structures

A quote of the week (or camel of the week): There is no expedience to which a man will not go to avoid the labor of thinking. Thomas A.

ESA modelling and cycle design

Braking Force Estimation of Each Car

Transcription:

Vehcle Propulson Systems Lecture 2 Fuel Consumpton Estmaton & ICE Powertrans Lars Erksson Professor Vehcular Systems Lnköpng Unversty March 21, 2017 2 / 51 3 / 51 W2M Energy Paths Energy System Overvew Prmary sources Dfferent optons for onboard energy storage Powertran energy converson durng drvng Cut at the wheel! Drvng msson has a mnmum energy requrement. 4 / 51 5 / 51 Mechancal Energy Demand of a Cycle Only the demand from the cycle The mean tractve force durng a cycle F trac = 1 xtot where = t max 0 v(t)dt. Note t trac n defnton. Only tracton. 0 Idlng not a demand from the cycle. max(f (x), 0) dx = 1 F (t)v(t)dt t trac Evaluatng the ntegral Tractve force from The Vehcle Moton Equaton F trac = 1 2 ρ a A f c d v 2 (t) + m v g c r + m v a(t) Resultng n these sums F trac = F trac,a + F trac,r + F trac,m F trac,a = 1 1 2 ρ a A f c d h F trac,r = 1 m v g c r v h F trac,m = 1 m v ā v h 6 / 51 7 / 51 Values for cycles Numercal values for the cycles: X trac,a = 1 X trac,r = 1 X trac,m = 1 {MVEG-95, ECE, EUDC} h = {319, 82.9, 455} v h = {0.856, 0.81, 0.88} ā v h = {0.101, 0.126, 0.086} Ē MVEG-95 A f c d 1.9 10 4 + m v c r 8.4 10 2 + m v 10 Tasks n Hand-n assgnment kj/100km 8 / 51 9 / 51

Energy demand agan Recuperaton Perfect recuperaton Prevously: Consdered energy demand from the cycle. Now: The cycle can gve energy to the vehcle. Mean requred force Sum over all ponts F = F a + F r F a = 1 1 2 ρ a A f c d N =1 h Recover the vehcle s knetc energy durng drvng. F r = 1 m v g c r N v h =1 10 / 51 11 / 51 Perfect recuperaton Numercal values for cycles Numercal values for MVEG-95, ECE, EUDC X a = 1 v 3 h = {363, 100, 515} X r = 1 v h = {1, 1, 1} Ē MVEG-95 A f c d 2.2 10 4 + m v c r 9.81 10 2 kj/100km Comparson of numercal values for cycles Wthout recuperaton. X trac,a = 1 X trac,r = 1 X trac,m = 1 h = {319, 82.9, 455} v h = {0.856, 0.81, 0.88} ā v h = {0.101, 0.126, 0.086} Wth perfect recuperaton X a = 1 v 3 h = {363, 100, 515} X r = 1 v h = {1, 1, 1} 12 / 51 13 / 51 Perfect and no recuperaton Cycle energy reqrement (no recuperaton) Ē MVEG-95 A f c d 1.9 10 4 +m v c r 8.4 10 2 +m v 10 kj/100km Senstvty analyss Mean force represented as lter Desel / 100 km. S p = lm δp 0 S p = lm δp 0 Vehcle parameters: Af c d c r m v [ĒMVEG-95 (p + δp) Ē MVEG-95 (p) ] /Ē MVEG-95 (p) δp/p [ĒMVEG-95 (p + δp) Ē MVEG-95 (p) ] δp p Ē MVEG-95 (p) 14 / 51 15 / 51 Vehcle mass and fuel consumpton Vehcle mass s the most mportant parameter. 16 / 51 17 / 51

Realstc Recuperaton Devces Vehcle Mass and Cycle-Avearged Effcency 18 / 51 19 / 51 Two Approaches for Powertran Smulaton Dynamc smulaton (forward smulaton) Cycle Drver Engne Transm. Wheel Normal system modelng drecton Requres drver model Quasstatc smulaton (nverse smulaton) Cycle Vehcle Wheel Reverse system modelng drecton Follows drvng cycle exactly Model causalty Transm. Engne Vehcle 20 / 51 21 / 51 Dynamc approach Quasstatc approach Drvers nput u propagates to the vehcle and the cycle Drvers nput... Drvng force Losses Vehcle velocty Feedback to drver model Avalable tools (= Standard smulaton) can deal wth arbtrary powertran complexty. Backward smulaton Drvng cycle Losses Drvng force Wheel torque Engne (powertran) torque... Fuel consumton. Avalable tools are lmted wth respect to the powertran components that they can handle. Consderng new tools such as Modelca opens up new possbltes. See also: Effcent Drve Cycle Smulaton, Anders Fröberg and Lars Nelsen (2008)... 22 / 51 23 / 51 Causalty and Basc Equatons Hgh level modelng Inputs and outputs Causaltes for Engne Models Pc Quasstatc Approach ICE Engne effcency η e = ω e T e P c Enthalpy flow of fuel (Power H fuel = P c ) ωe Te P c = ṁ f q LHV Pc Dynamc Approach ICE ωe Te 24 / 51 25 / 51

Maps Measured engne effcency map Used very often Engne Geometry Defntons TDC BDC l a theta B L Vc Cylnder, Pston, Connectng rod, Crank shaft Bore, B Stroke, S = 2 a Number of cylnders z Cylnder swept volume, V d = π B2 S 4 Engne swept volume, V d = z π B2 S 4 Compresson rato r c = Vmax Vd +Vc V mn = V c What to do when map-data sn t avalable? 26 / 51 27 / 51 Defnton of MEP Mean Pston Speed (S p = mps = c m ): See whteboard. c m = ω e S π Mean Effectve Pressure (MEP=p me (N = n r 2)): p me = N π T e V d Used to: Compare performance for engnes of dfferent sze Desgn rules for engne szng. At max engne power: c m 17 m/s, p me 1e6 Pa (no turbo) engne sze Connecton: P e = z π 16 B2 p me c m 28 / 51 29 / 51 Torque modelng through Wllans Lne Map Representaton Measurement data: x: p mf y: p me = BMEP 15 Torque and fuel connecton (λ=1) Engne BMEP [bar] 10 5 0 5 0 5 10 15 20 25 30 35 40 Fuel MEP [bar] Lnear (affne) relatonshp Wllans lne Engne effcency: p me = e(ω e ) p mf p me,0 (ω e ) η e = pme p mf Wllans lne parameters: e(ω e ) p me,0 (ω e ) 30 / 51 31 / 51 Causalty and Basc Equatons Causaltes for Gear-Box Models Quasstatc Approach ω1 T1 γ GB Power balance Loss free model ω2 T2 ω 1 = γω 2, T 1 = T 2 γ Dynamc Approach ω1 T1 γ GB ω2 T2 32 / 51 33 / 51

Dfferent Types of Gearboxes Connectons of Importance for Gear Rato Selecton Vehcle moton equaton: Manual Gear Box Automatc Gear Box, wth torque converter Automatc Gear Box, wth automated clutch Automatc Gear Box, wth dual clutches (DCT) Contnuously varable transmsson m v d dt v(t) = F t 1 2 ρ a A f c d v 2 (t) m v g c r m v g sn(α) Constant speed d dt v(t) = 0: F t = 1 2 ρ a A f c d v 2 (t) + m v g c r + m v g sn(α) A gven speed v wll requre power F t v from the powertran. Ths translates to power at the engne T e ω e. Changng/selectng gears decouples ω e and v. Requred tractve force ncreases wth speed. For a fxed gear rato there s also an ncrease n requred engne torque. 34 / 51 35 / 51 Gear rato selecton connected to the engne map. Optmzng gear rato for a certan cycle. Potental to save fuel. Case study 8.1 (we ll look at t later). Addtonally: Also geometrc rato between gears. g,1 g,2 g,2 g,3 g,3 g,4 g,4 g,5 36 / 51 37 / 51 Gear-box Effcency Clutch and Torque Converter Effcency In tracton mode T 2 ω w = e gb T 1 ω e P 0,gb (ω e ), T 1 ω e > 0 In engne brakng mode (fuel cut) Frcton clutch torque: T 1,e (t) = T 1,gb (t) = T 1 (t) t Acton and reacton torque n the clutch, no mass. T 1 ω e = e gb T 2 ω w P 0,gb (ω e ),, T 1 ω e < 0 38 / 51 39 / 51 Torque Characterstcs of a Frcton Clutch Man parameters n a Torque Converter Input torque at the converter: T 1,e (t) = ξ(φ(t)) ρ h d 5 p ω 2 e(t) Converter output torque T 1,gb (t) = ψ(φ(t)) T 1,e (t) Graph for the speed rato φ(t) = ωgb ω e, and the expermentally determned ψ(φ(t)) Approxmaton of the maxmum torque n a frcton clutch ) T 1,max = sgn( ω) (T b (T b T a ) e ω / ω0 The effcency n tracton mode becomes η tc = ω gb T 1,gb ω e T 1,e = ψ(φ) φ 40 / 51 41 / 51

Method Average operatng pont method Good agreement for conventonal powertrans. Hand-n assgnment. 42 / 51 43 / 51 Quasstatc analyss Layout Quasstatc analyss IC Engne Structure More detals and better agreement (depends on model qualty) Good agreement for general powertrans Hand-n assgnment. 44 / 51 45 / 51 Quasstatc analyss Engne Operatng Ponts Dfferent tools for studyng energy consumpton n vehcle propulson systems Quas statc Dynamc QSS (ETH) X Advsor, AVL X (X) PSAT X CAPSm (VSm) X Inhouse tools (X) (X) 46 / 51 47 / 51 PSAT Advsor Argonne natonal laboratory 48 / 51 49 / 51

Advsor Informaton from AVL: The U.S. Department of Energy s Natonal Renewable Energy Laboratory (NREL) frst developed ADVISOR n 1994. Between 1998 and 2003 t was downloaded by more than 7,000 ndvduals, corporatons, and unverstes world-wde. In early 2003 NREL ntated the commercalsaton of ADVISOR through a publc solctaton. AVL responded and was awarded the exclusve rghts to lcense and dstrbute ADVISOR world-wde. 50 / 51