EVS28KINTEX, Korea, May 3-6, 2015

Development Fuel Efficiency Improvement Algorithm for Hybrid Electric Vehicle Based

on the ADAS Sensors

Jaejoon Kwon1, Minwoo Sho2, Kihong Park31Author 1 (corresponding author) Graduate School of Automotive Engineering, Kookmin University,

ALEXKwon@kookmin.ac.kr2Graduate School of Automotive Engineering, Kookmin University

3Department of Automotive Engineering, Kookmin University

Introduction

I. Research Background 1. Increased interest of consumers to eco-friendly fuel-efficient vehicle

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Introduction

I. Research Background 2. HEV application segment extends along a major part in the

development of the HEV industry

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Introduction

I. Research Background 3. Increased research on the integration of ADAS technologies and

green car technology

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Introduction

II. Research Overview

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Modeling of TMED HEV Applied SCC

I. Configuration of TMED HEV applied SCC Basic Vehicle Dynamics → CarSim 8 (Vehicle Simulation Tool) HEV’s Powertrain System, Battery, HCU → MATLAB/Simulink Radar Sensor of SCC → Sensors and Traffic Module of CarSim 8 Control Algorithm of SCC → MATLAB/Simulink

※ TMED (Transmission Mounted Electric Device) / HCU (Hybrid Control Unit)

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Modeling of TMED HEV Applied SCC

II. Modeling of HEV components (MATLAB/Simulink) HEV Powertrain (Engine, Motor, Engine Clutch, AT) and Battery HCU and Subsystem Controller (EMS, BMS, CCU, MCU, TCU)

※ EMS (Engine Management System) / BMS (Battery Management System) / CCU (Clutch Control Unit) / MCU (Motor Control Unit)※ TCU (Transmission Control Unit) / HSG (Hybrid Starter and Generator)

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Modeling of TMED HEV Applied SCC

III. Model of TMED HEV applied SCC (MATLAB/Simulink)

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Dev. Fuel Efficiency Improvement Algorithm

I. Control strategy of fuel efficiency improvement algorithm

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Dev. Fuel Efficiency Improvement Algorithm

II. Driving condition prediction algorithm

Distance b/w S.V. and O.V. : Using the relative distance from SCC

Velocity of O.V. : Using the relative velocity from SCC

Acceleration of O.V. : Using the differential value of relative velocity from SCC

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Dev. Fuel Efficiency Improvement Algorithm

III. Strategy of maximum regenerative braking

Desired deceleration of hydraulic brake system :

Computation the range of maximum regenerative braking, t3 – t4

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Dev. Fuel Efficiency Improvement Algorithm

IV. Strategy of maximum engine fuel-cut

Analysis driving condition of O.V. using the SCC frontal sensor

Compare b/w velocity of O.V. and threshold velocity

VO.V. < Vthres Fuel-cut control (reduce fuel consumption)

Conventional Fuel-cut + Added Fuel-cut12

Simulation Results

I. Configuration of TMED HEV applied SCC Speed profile of O.V. (5 cycle * 60 sec = 300 sec) 1 cycle (60 sec) : Acceleration/Cruise/Deceleration/Stop in range of 0~100 km/h

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Simulation Results

II. Configuration of TMED HEV applied SCC

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Conclusion

I. Results of fuel efficiency improvement algorithmΔSOC [%] Fuel

Consumption [L]

W/O Control -22.81 0.4027

W/ Control -16.86 0.3676

ImprovementRate [%] 26.1 8.7

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