Investigation of a coolant circuit with controlled water pump and fan Josua Lidzba, Deutz AG, Cologne

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Investigation of a coolant circuit with controlled water pump and fan Josua Lidzba, Deutz AG, Cologne Green Industrial Diesel

Introduction: the engine TCD 6.1 INDU T4i 2

Introduction: Outline/Objectives Coolant pump (and Fan) statically coupled to engine speed About 7.5 % power consumption of pumps and fan at full load (~13.5 kw) Replacing static coupling by active controlled components Controlling adapted to cooling requirements Simulation of effects on fuel/power consumption 1D simulation in GTise 3

Simulation approach: engine model Thermostat Radiator cool air Radiator coolant Engine TCD 6.1 T4i OP EOC lubricant EOC coolant EGRC exhaust FAN CP Oil Module EGRC coolant CAC cool air CAC charge air TC ET 4

CAC Radiator Simulation approach: heat transfer and simplification Thermostat Engine TCD 6.1 T4i OP EOC FAN CP Oil Module EGR 5

Simulation model: components - waterjacket 6

Simulation model: components - waterjacket Heat distribution 0.2 0.66 Head top Cylinder lid Thermal masses, 5kg 0.14 Liner 7

Simulation model: components - waterjacket Heat transfer coefficient Flow velocity dependent at input orifice connection Empirical approach, calibrated to a set of measurements Influence of heat transfer coefficient and accepted material temperatures Main uncertainty Coolant mass flow can not be arbitrarily reduced 8

Simulation model: control system Closed loop controlled coolant pump and fan Controller input: Coolant temperature and material temperature 2 PID controllers 2 investigation levels: 1. Free controlling/actuation of pump and fan speed 2. Different physical models for controlled devices Visco clutch for coolant pump Fan with adjustable fan blade angle 9

Simulation model: controll system z i disturbance (heat flow ) Controlled system y cp n coolant-pump T coolant, T struct x cp y fan n fan T coolant x fan - r op T coolant,act 95 C w fan PID fan e fan T coolant,act T struct,act - r cp =f(t c,t s ) PID cp Controlling devices e cp w cp 95 C/250 C 10

gain Simulation model: control strategies Controllers behavior engine load depended but not engine speed dependent Gains engine load dependent 0-50 -100-150 -200-250 -300-350 -400-450 -500 Proportional and integral gains 2 5 8 11 14 17 20 pme [bar] Kp-CP Kp-Fan Ki-CP Ki-Fan Steady-state vs. transient: faster controllers seem to be possible without oscillations 11

Simulation model: control strategies Quick fan controller, slow pump controller Thermostat needed if only coolant pump is controlled Acceptable to take maximum material temperatures as target? 12

Simulation model: calibration, settings, restrictions Model calibration: Flow: Coolant mass flow, coolant pressure Engine oil pressure Thermostat opening/closing Initial settings (warm engine): 25 C environment temperature 110 C oil temperature, 90 C coolant temperature, 100 C thermal mass temperature 140 steady-state cases Engine speed variation from 800 to 2300 RPM Load (BMEP) variation between ~2.0 and 21.5 bar Input data depends on measurements @ 25 C environment temperature 13

Results: steady state power consumption About 7.5% of effective Power at full load Av. coolant temperature: 87.8 C, Max: 97.6 C Av. material temperature: 193.5 C, Max: 253.8 C 14

Results: steady state power reduction controlled cool. pump Average coolant temperature: 93.5 C, 5.7 K higher then in uncontrolled simulation Target (95 C) only reachable at higher loads (material overheating) Average material temperature: 222.6 C, 29.1 K higher then in uncontrolled simulation Target (250 C) only reachable at lower loads (coolant overheating) Power savings between 0.5% and 2.4 % measured in different load profiles 15

Results: steady state power reduction controlled cp and fan Coolant temperature: target (95 C) reached for every case Material temperature: Cooler as with controlled pump only (average 206.1 C) Power savings between 2.0% and 10.9 % measured in different load profiles 16

Results: steady state visco clutch and fan w/ adjustable blades Visco clutch: Slip power Inertia (for transient simulations) Fan with blade angle control Efficiency? Control range? No results yet 17

engine speed [RPM] BMEP [bar] Results: transient power savings Wheel loader transient working cycle 6000 seconds, high percentage of full load/upper partial load Power/fuel savings between 0.5% and 2% 2500 25 2000 1500 1000 500 20 15 10 5 0-5 Speed BMEP 0-10 0 1000 2000 3000 4000 5000 6000 time [s] 18

Thank you for your attention! 19