Soohee Han
포항공과대학교 기계공학과 · 공학
소희 한 교수의 연구실은 전기차 및 에너지 저장 시스템의 핵심 기술인 리튬이온 배터리의 수명 예측과 안정성 향상을 위한 지능형 상태 추정 기술에 중점을 두고 있습니다. 특히 상태의 타당성(소하, SOH)과 충전 상태(SOC)를 정확하게 추정하기 위해 모델 기반과 데이터 기반 기법을 융합한 혁신적인 알고리즘 개발을 진행하고 있으며, 배터리 관리 시스템(BMS)에 실용적으로 적용 가능한 기술 솔루션을 추구합니다. 또한 로봇 소프트웨어 플랫폼 개발을 통해 복잡한 작업의 수직적 통합을 지원하는 시스템 설계 기술도 함께 연구하고 있습니다.
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
State of health (SOH) is a key issue for saving cost and guaranteeing safety while using a rechargeable battery. Therefore, numerous studies on SOH estimation have been conducted intensively. However, most of the studies need the experimental data for whole lifetime of a battery, and adopt standard charge/discharge pattern that does not reflect the real world driving pattern. For these reasons, it is not suitable to apply the results into battery management system (BMS) of an EV. In this paper,
Battery is one of the most important energy supplement source for our society. Especially, lithium-ion battery has been actively used in various fields such as mobile devices, electric vehicles, or energy storage system. However, a lithium-ion battery has a few life degradation and safety problems, for example, ignition and explosion. Therefore, it is required to observe the inner states of lithium-ion battery consistently to predict or prevent the problems above. Electrochemical model of lithiu
A novel state of charge (SOC) estimation method for lithium-ion batteries is proposed. The method is made by combining a model-based method and a data-driven method. Model-based methods can show acceptable estimation error without large data. However there is a limit in reducing the error because inaccuracy of model still exists. A data-driven method can solve this problem by learning data. The method proposed in this paper optimizes parameters of extended Kalman filter (EKF) with reinforcement
In this paper, an efficient development environment for vertical integration of many tasks involved with robot programming, called Open software Platform for Robotic Services (OPRoS), is presented. It covers from the control of hardware (HW) devices to the execution of complicated application programs. Based on general software (SW) architecture, standardized components with design patterns, frameworks, and servers are offered for developing robot SW applications easily and efficiently. Speciall
In this note, a new type of L <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> - E performance criterion for a fixed-lag smoother is introduced, which is given by a gain between the energy of the external disturbances during the recent time horizon and the estimation error at the fixed-delayed time from the current one. By minimizing the maximum value of the L <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/
