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48V 마일드 HEV의 운전 성향을 고려한 동력 분배 알고리즘을 위한 연구
지용혁(Yonghyeok Ji),김지환(Jihwan Kim),이형철(Hyeongcheol Lee) 한국자동차공학회 2019 한국자동차공학회 학술대회 및 전시회 Vol.2019 No.11
Fuel economy can be affected by the driving tendency of a driver, in other words, how a driver drives a vehicle. In this study, to develop the power distribution algorithm considering the driving tendency of 48V mild HEV, we estimated a driver model parameter using RLS (Recursive Least Square) algorithm and investigated how an ECMS (Equivalent Consumption Minimization Strategy) equivalent factor for charge sustaining changed by driver model parameter in the MILS environment.
선회 성능 향상을 위한 eLSD 제어 알고리즘 및 랩타임 시뮬레이션
지용혁(Yonghyeok Ji),이형철(Hyeongcheol Lee),박재용(Jaeyong Park) 한국자동차공학회 2018 한국자동차공학회 부문종합 학술대회 Vol.2018 No.6
The eLSD (Electronic Limited Slip Differential) is the device that provides limited slip differential function by electric control of friction clutch. The advantage of eLSD is that it can control LSD function according to vehicle state properly. Traditionally, many studies about eLSD were performed to improve traction and stability of the vehicle, but it also can be used to improve turning performance of the vehicle. In this paper, we propose eLSD control algorithm in order to improve turning performance of the vehicle that is applied eLSD. The proposed algorithms are compared with the eLSD basic control algorithm and open differential in the simulation environment in terms of turning performance and stability of the vehicle. The simulations are conducted using CarSim of Mechanical Simulation and VSM of AVL. We conduct basic test scenario like steady-state circular test and ramp steer test using CarSim, and conduct lap time simulation at circuit using VSM.
고 전장부하 상황을 고려한 48v 마일드 하이브리드 차량의 동력 제어 방법에 관한 연구
이우원(Woowon Rhee),지용혁(Yonghyeok Ji),이형철(Hyeongcheol Lee) 한국자동차공학회 2018 한국자동차공학회 부문종합 학술대회 Vol.2018 No.6
The power consumption is increasing due to the continuous electrification of the vehicle. In particular, the recently realized autonomous drive system consumes about 2.5kW of power, which is an enormous amount of electrical energy. Accordingly, there is a concern that the fuel consumption will be increased when the autonomous drive system is introduced. In order to solve these problems, we propose a Power management strategy for 48V MHEV with the high electric power loads. First, a quasi-static vehicle model that includes the electrical system of the 48V mild hybrid vehicle (12V battery, 48V battery, DC/DC converter, and electric accessory) is developed. Then, Dynamic Programming which is widely used as a global optimal control strategy is performed. Through this, the optimal control inputs Power Slip Ratio and output power of DC/DC Converter are obtained. Lastly, based on the results of the DP, we design a rule-based controller that can be applied in real time. As a result, we can improve the fuel efficiency by optimizing the power distribution control even in the case of high electric power load.
48V 하이브리드 자동차의 전기적 구조 최적화 기반 동력 관리 전략
김경호(Gyeongho Kim),지용혁(Yonghyeok Ji),이형철(Hyeongcheol Lee) 한국자동차공학회 2019 한국자동차공학회 부문종합 학술대회 Vol.2019 No.5
Adaptive safety system and electrification of powertrain for improving fuel efficiency have led to the rapid progress of electrification. Therefore, power consumption is also rapidly increasing, and the effect on fuel efficiency is also increasing. In this paper, we compare the efficiency of various electrical architectures. The efficiency of the electrical system can vary due to the arrangement of 12V / 48V batteries, DC-DC converters, and 12V / 48V loads. Therefore, Dynamic programming, which is a global optimization technique, was used for comparison of various electric architectures according to the arrangement of each of the components constituting the electrical architectures. Dynamic programming was performed for each architecture, and the fuel efficiency of each architecture was derived. As a result, the high efficiency electrical architecture was derived.
4륜 구동 전기 자동차의 안전 거리를 고려한 모델 예측 제어 기반 실시간 속도 계획법
김기훈(Kihoon Kim),지용혁(Yonghyeok Ji),이형철(Hyeongcheol Lee) 한국자동차공학회 2022 한국자동차공학회 학술대회 및 전시회 Vol.2022 No.11
In this paper, speed planning considering safety distance from preceding vehicle for battery electric vehicle was developed. The developed distance-based speed planning consists of quadratic programming-based offline planning and model predictive control-based online planning in a hierarchical structure. To apply the linear optimization technique, this paper proposes a motor power consumption model divided into motor driving and regenerative braking. In addition, in this paper, developed a speed planning based on non-linear optimization and compared the proposed speed planning with the computing time and electric fuel efficiency.
LSTM을 이용한 HEV 엔진 클러치 이상치 탐지에 관한 연구
정성용(Seongyong Jeong),지용혁(Yonghyeok Ji),이형철(Hyeongcheol Lee) 한국자동차공학회 2021 한국자동차공학회 부문종합 학술대회 Vol.2021 No.6
In this paper, we propose anomaly detection for engine clutch engagement/disengagement using LSTM to evaluate the HEV driving mode performance of TMED parallel hybrid electric vehicle. The LSTM-based regression model is trained using vehicle simulation data that can be obtained through the HEV P2 reference application provided by Mathworks and approximated to a mathematical model tor physical properties related to the engine clutch. In other words, the LSTM-based regression model can conduct time series prediction like an estimator. Therefore outliers are detected by inputting the defect-injected signal into the trained model and calculating the residuals from the predicted and observed signal.