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고도 및 교통정보를 활용한 예측 등가 소비 최소 전략 도출
우동현(Donghyeon Woo),금동석(Dongsuk Kum) 한국자동차공학회 2019 한국자동차공학회 부문종합 학술대회 Vol.2019 No.5
An optimal energy management strategy is necessary to improve fuel economy of Hybrid Electric Vehicles (HEV). Although horizon optimization strategy (e.g. Dynamic programming) guarantees global optimal solution, the strategy requires priori information about the entire optimization horizon and thus the strategy cannot be implemented in a real-time situation. Therefore, this paper proposed instantaneous optimization based Predictive Equivalent Consumption Minimization Strategy(P-ECMS) by utilizing traffic and road slope information. Battery state of charge (SOC) reference is predicted over distance. This SOC reference is adopted to supplement the limitation of ECMS, which is selection of the most suitable value of Equivalent Factor to guarantee optimality and charge sustainability for any driving conditions. As a result, the proposed PECMS achieves similar fuel economy with other instantaneous optimal control strategies like ECMS while still guaranteeing the real-time implementability.
EV 성능개발을 위한 SILS 기반의 PT 버추얼 환경 적용
이대흥(Daeheung Lee),최석환(Seokwhan Choi),우동현(Donghyeon Woo),이예은(Yeeun Lee),방재성(Jaesung Bang),유재석(Jaesuck Yoo),민성환(Sunghwan Min) 한국자동차공학회 2022 한국자동차공학회 학술대회 및 전시회 Vol.2022 No.11
In a situation in which the electronic control unit (ECU), components, and software of a vehicle are increasingly diversified and complicated, there is a time and cost limitation to test vehicle performance manually in a real vehicle environment. In this paper, in order to develop the powertrain performance of an electric vehicle, we consider the simulation environment using the virtual vehicle control unit (vVCU) for virtual calibration and optimization through a number of critical element technologies. As a result of this, we introduce some examples which are applying virtual optimization and calibration in the early stages of production development. The applied cases show significant M/H savings and it can reduce development time by approximately 40% for APS required torque mapping and others.