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Lee, Jason Hoon
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A Co-Simulation Platform for Powertrain Controls Development

Hyundai-Kia America Technical Center Inc.-Shihong Fan, Yong Sun, Jason Hoon Lee, Jinho Ha
  • Technical Paper
  • 2020-01-0265
To be published on 2020-04-14 by SAE International in United States
With the advancement of simulation software development, the efficiency of vehicle and powertrain controls research and development can be significantly improved. Traditionally, during the development of a new control algorithm, dyno or on-road testing is necessary to validate the algorithm. Physical testing is not only costly, but also time consuming. In this study, a virtual platform is developed to reduce the effort of testing. To improve the simulation accuracy, co-simulation of multiple software is suggested as each software specializes in certain area. The Platform includes Matlab Simulink, PTV Vissim, Tass Prescan and AVL Cruise. PTV Vissim is used to provide traffic environment to PreScan. PreScan is used for ego vehicle simulation and visualization. Traffic, signal and road network are synchronized in Vissim and PreScan. Powertrain system is simulated in Cruise. MATALB/Simulink serves as master of this co-simulation, and integrates the different software together. It also includes human driver model and a powertrain control function. An ADAS-ISG (Idle Stop and Go) powertrain control algorithm is implemented in Simulink and tested by using the platform under different…
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EGR Temperature Estimation Model Including the Effect of Coolant Flow Rate for EGR Control

Hyundai-Kia America Technical Center Inc.-Yong Sun, Jason Hoon Lee, Jinho Ha, Byungho Lee
University of Michigan - Dearborn-Kyoung Hyun Kwak, Dewey Jung
  • Technical Paper
  • 2020-01-0264
To be published on 2020-04-14 by SAE International in United States
Recently developed gasoline engines utilize more aggressive EGR rate to meet the emissions and fuel economy regulations. The EGR temperature is often estimated by the ECU and its accuracy affects the estimations of EGR flow rate and intake air flow rate and temperature. Therefore, the accuracy of EGR temperature estimation becomes more important than ever for precise EGR rate control. Typical lookup map based EGR cooler model without the sensitivity to the coolant flow rate is acceptable and widely used if the heat capacity of the coolant side is high enough. However, the coolant flow rate under real vehicle driving conditions often visit low-speed high-load part of the engine map where the lookup map based model suffers from the accuracy issues. This paper presents an investigation of the accuracy of the lookup map based model under different heat capacity conditions. In this study, a simple EGR cooler model based on effectiveness-NTU method was also developed. Coolant flow rate used in this model is calculated with a regressed model, which is a function of engine speed…
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A Comparative Study on Engine Thermal Management System

Hyundai-Kia America Technical Center, Inc.-Yong Sun, Jason Hoon Lee, Jinho Ha, EunKyung Lee
The University of Alabama-Samuel Wilson, Hwan-Sik Yoon
  • Technical Paper
  • 2020-01-0946
To be published on 2020-04-14 by SAE International in United States
As the automotive industry faces tighter fuel economy and emission regulations, it is becoming increasingly important to improve powertrain system efficiency. One of the areas to improve powertrain efficiency is the thermal management system. By controlling how to distribute the heat rejected by the engine, especially during the warm-up stage under cold temperatures, an engine thermal management system can improve the overall energy efficiency of the powertrain system. Conventionally, engine thermal management systems have been operated by a mechanical water pump and a thermostat. However, the recent introduction of electric water pumps and electrically-controlled flow valves allow for more sophisticated control of the thermal management system. In this study, these two different thermal management system architectures are investigated by conducting simulations. Specifically, a vehicle model with a high-fidelity thermal management system is developed in GT-SUITE and a simple rule-based control algorithm is applied to control the system. Using the system model, multiple drive cycle simulations are conducted and their performances are compared and discussed.
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Development of Advanced Idle Stop-and-Go Control Utilizing V2I

Hyundai-Kia America Technical Center Inc.-Jason Hoon Lee, Yong Sun, Josiah Humphrey, Jinho Ha, Byungho Lee
  • Technical Paper
  • 2020-01-0581
To be published on 2020-04-14 by SAE International in United States
Previous studies proposed the utilization of Advanced Driver Assistance System (ADAS) for introducing adaptiveness to powertrain control with respect to traffic situation change. When vehicle stops with the engine shut off by Auto Stop/Start function, the controller keeps watching the movement of preceding vehicle using ADAS sensors. Then it restarts the engine automatically as soon as it detects the launch of the vehicle ahead, before the driver releases brake pedal. The control logic also can inhibit Auto Stop/Start under specific driving conditions, for example, stopping for a stop sign or waiting at a roundabout by utilizing the traffic sign recognition function of vision sensor. In the prior studies it was demonstrated through actual vehicle tests that the new control method can improve the Auto Stop/Start performance, thereby mitigating customer complaints regarding the hesitation in engine restart and promoting the usage. However, the previously suggested method based on movement detection becomes useless if there was no target vehicle ahead to follow. The issue arises when the vehicle happens to be the first vehicle from traffic light…