Search Results - "Choi, Yohwan"

Machine Learning-Based Lithium-Ion Battery Capacity Estimation Exploiting Multi-Channel Charging Profiles by Choi, Yohwan, Ryu, Seunghyoung, Park, Kyungnam, Kim, Hongseok

“…Prognostics and health management is a promising methodology to cope with the risks of failure in advance and has been implemented in many well-known…”
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LSTM-Based Battery Remaining Useful Life Prediction With Multi-Channel Charging Profiles by Park, Kyungnam, Choi, Yohwan, Choi, Won Jae, Ryu, Hee-Yeon, Kim, Hongseok

“…Remaining useful life (RUL) prediction of lithium-ion batteries can reduce the risk of battery failure by predicting the end of life. In this paper, we propose…”
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Optimal Scheduling of Energy Storage System for Self-Sustainable Base Station Operation Considering Battery Wear-Out Cost by Choi, Yohwan, Kim, Hongseok

“…A self-sustainable base station (BS) where renewable resources and energy storage system (ESS) are interoperably utilized as power sources is a promising…”
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Data-Driven Baseline Estimation of Residential Buildings for Demand Response by Park, Saehong, Ryu, Seunghyoung, Choi, Yohwan, Kim, Jihyo, Kim, Hongseok

“…The advent of advanced metering infrastructure (AMI) generates a large volume of data related with energy service. This paper exploits data mining approach for…”
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Optimal scheduling of energy storage system for self-sustainable base station operation considering battery wear-out cost by Choi, Yohwan, Kim, Hongseok

“…Self-sustainable base station (BS) where renewable resources and energy storage system (ESS) are interoperably utilized as power sources is a promising…”
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A framework for baseline load estimation in demand response: Data mining approach by Saehong Park, Seunghyoung Ryu, Yohwan Choi, Hongseok Kim

“…In this paper we propose a framework of customer baseline load (CBL) estimation for demand response in Smart Grid. The introduction of demand response requires…”
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Robust Operation of Energy Storage System with Uncertain Load Profiles by Kim, Jangkyum, Choi, Yohwan, Ryu, Seunghyoung, Kim, Hongseok

“…In this paper, we propose novel techniques to reduce total cost and peak load of factories from a customer point of view. We control energy storage system…”
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A Deep Reinforcement Learning Framework for Fast Charging of Li-Ion Batteries by Park, Saehong, Pozzi, Andrea, Whitmeyer, Michael, Perez, Hector, Kandel, Aaron, Kim, Geumbee, Choi, Yohwan, Joe, Won Tae, Raimondo, Davide M., Moura, Scott

“…One of the most crucial challenges faced by the Li-ion battery community concerns the search for the minimum time charging without damaging the cells. This…”
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Offline Multiobjective Optimization for Fast Charging and Reduced Degradation in Lithium-Ion Battery Cells Using Electrochemical Dynamics by Lam, Fredric, Allam, Anirudh, Joe, Won Tae, Choi, Yohwan, Onori, Simona

“…The rapid charging of lithium ion battery cells while minimizing degradation is a key challenge in battery management. Offline optimal control frameworks…”
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Fast Charging-Minimum Degradation Optimal Control of Series-Connected Battery Modules with DC/DC Bypass Converters by Azimi, Vahid, Allam, Anirudh, Joe, Won Tae, Choi, Yohwan, Onori, Simona

“…This paper presents a multi-objective fast charging-minimum degradation optimal control problem (OCP) for a Lithium-ion battery series-connected module with…”
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Offline multiobjective optimization for fast charging and reduced degradation in lithium ion battery cells by Lam, Fredric, Allam, Anirudh, Joe, Won Tae, Choi, Yohwan, Onori, Simona

“…The rapid charging of lithium ion battery cells while minimizing degradation is a key challenge in battery management. Offline optimal control frameworks…”
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Distributionally Robust Surrogate Optimal Control for Large-Scale Dynamical Systems by Kandel, Aaron, Park, Saehong, Perez, Hector E., Kim, Geumbee, Choi, Yohwan, Ahn, Hyoung Jun, Tae Joe, Won, Moura, Scott J.

“…This paper explores tractable robust optimal control of nonlinear systems with large state spaces. Conventional applications of surrogate modeling for control…”
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