Article
Engineering, Electrical & Electronic
Teng Long, Qing-Shan Jia, Gongming Wang, Yu Yang
Summary: This paper presents an efficient and scalable real-time scheduling method for handling the charging demands of plug-in electric vehicles (PEV), demonstrating through simulations that the proposed method provides high computation efficiency and scalability while reducing operating costs for charging stations. Compared to existing methods, it outperforms in terms of charging policy search capabilities and performance guarantee.
IEEE TRANSACTIONS ON SMART GRID
(2021)
Article
Economics
Matias Alvo, Gustavo Angulo, Mathias A. Klapp
Summary: The study focuses on efficiently planning a bus dispatch operation within a public transport terminal with a mixed fleet and limited chargers, modeling the problem as an extension of the Vehicle Scheduling Problem and using a Benders' type decomposition approach to solve it. Feasibility cuts dynamically injected into the branch-and-bound tree help remove infeasible bus charging operations, with computational experiments showing the effectiveness of the approach over a single-stage model. Insights for planners include the marginal benefit of additional chargers or electric buses and the value added by a mixed fleet compared to a pure electric one.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2021)
Article
Engineering, Electrical & Electronic
Jiayan Liu, Gang Lin, Sunhua Huang, Yang Zhou, Yong Li, Christian Rehtanz
Summary: This article proposes an optimal charging scheduling method for electric vehicles in the context of limited charging facilities, aiming to reduce costs and meet the charging demands of each EV by responding to time-of-use electricity pricing. The method is formulated as a bilevel programming model and is shown to be effective in simulation results.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2021)
Article
Energy & Fuels
Luyang Hou, Omar E. Herrera, Walter Merida
Summary: Mobile charging refers to on-demand battery packages that provide flexible charging services and regulation capacities in a grid-interactive transportation system, especially for ridesharing fleets. This study proposes a data-driven optimization framework to identify optimal integration scenarios for mobile chargers in urban transportation systems, and develops a program to determine the required number of chargers, energy storage strategies, and charging prices regimes. The approach reduces total costs by about 21% compared to a non-scheduling greedy policy, and helps stabilize the power profile through vehicle-to-grid implementation.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Transportation Science & Technology
Ehsan Mahyari, Nickolas Freeman, Mesut Yavuz
Summary: The past decade has seen a growing interest in transportation electrification from academia, government, and industry. Fleet operators are currently facing a challenge in charge scheduling due to fleet size, heterogeneity, and uncertainty, leading to the emergence of the Charging-as-a-Service (CaaS) industry. This paper addresses the CaaS providers' electric vehicle fleet (EVF) charge scheduling problem and proposes an optimization approach that outperforms industry benchmarks in terms of charging costs and energy consumption.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
Article
Engineering, Electrical & Electronic
Brian S. Gu, Tharindu Dharmakeerthi, Seho Kim, Michael J. O'Sullivan, Grant A. Covic
Summary: This article proposes a reduced ferrite inductive power transfer system for electric vehicle charging, which uses ferrite-based soft magnetic composites to reduce system cost and improve mechanical robustness. The optimized system reduces ferrite volume by 63% and exhibits minimal deterioration in terms of coupling reduction and magnetic field leakage.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2023)
Article
Computer Science, Information Systems
Jannik Schaefer, Johann Walter Kolar
Summary: This paper presents an isolated three-port DC/DC converter topology for energy distribution grid of electric vehicles, with simplicity in control and circuit complexity, achieving high efficiency and power density for charging EVs.
Article
Chemistry, Multidisciplinary
Andrija Petrusic, Aleksandar Janjic
Summary: This article introduces a multicriteria methodology for scheduling a hybrid EV charging station, incorporating renewable energy sources and battery storage to mitigate grid stress, and solving the problem using a genetic algorithm optimization procedure.
APPLIED SCIENCES-BASEL
(2021)
Article
Engineering, Electrical & Electronic
Linfang Yan, Xia Chen, Jianyu Zhou, Yin Chen, Jinyu Wen
Summary: This paper addresses the individual EV charging scheduling problem considering dynamic user behaviors and electricity prices. It introduces an aggregate anxiety concept and a mathematical model to quantify anxiety, formulates the problem as a Markov Decision Process, and proposes a model-free deep reinforcement learning approach to learn the optimal charging control strategy. Simulation studies confirm the effectiveness of the proposed approach under dynamic user behaviors at different charging locations.
IEEE TRANSACTIONS ON SMART GRID
(2021)
Article
Transportation Science & Technology
Jinhua Ji, Yiming Bie, Linhong Wang
Summary: To address the shortage of charging facilities for electric cars (ECs) and maximize the utilization of charging facilities for electric buses (EBs), a charging facility sharing strategy is proposed. This strategy allows ECs to use EBs' charging piles for a fee during specific time windows. A nonlinear integer programming model is developed to determine the vehicle types allowed to be charged in each time window, allocate daily service trips and charging trips to each EB, and optimize the overall costs and revenues. An algorithm combining enumeration method and branch and price is used to solve the optimization model. The proposed method is verified using a real EB route, demonstrating its effectiveness in increasing revenue for public transit companies and facilitating EC charging without disrupting EB schedules.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
Article
Engineering, Multidisciplinary
Utsav Sharma, Bhim Singh
Summary: This article investigates the application of neural network-assisted deadbeat predictive current control in onboard charger for an e-rickshaw. By introducing a multistep charging scheme, the electricity consumption efficiency of the charger is improved under wide load conditions. The article presents the topology of the grid-connected charger and the working principles of its two stages.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2022)
Article
Engineering, Civil
Leila Hajibabai, Amir Mirheli
Summary: This study presents a dynamic scheduling scheme for EV charging facilities considering uncertainties in charging demand, charger availability, and charging rate. The proposed methodology, utilizing a dynamic programming model and integrated generalized Nash equilibrium technique, minimizes costs and improves the efficiency of the charging network. This research is of great importance for promoting EV adoption and supporting environmental sustainability.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Energy & Fuels
Dong Sik Kim, Young Mo Chung, Beom Jin Chung
Summary: Research has been conducted on DC fast chargers, while research on AC slow chargers has been lacking. However, AC slow chargers, with their long charging times, are suitable for daily home charging of electric vehicles and are likely to become the dominant type of charging equipment due to their low installation costs.
Article
Computer Science, Artificial Intelligence
Yisheng An, Yuxin Gao, Naiqi Wu, Jiawei Zhu, Hongzhang Li, Jinhui Yang
Summary: As the number of electric vehicles increases, scheduling the charging operations of EVs in urban areas becomes an important issue. This paper investigates the EV charging problem at the scheduling level and proposes a mathematical model and scheduling algorithms to improve charging efficiency.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Computer Science, Information Systems
V. Manoj Kumar, Bharatiraja Chokkalingam, Lucian Mihet-Popa
Summary: This study proposes a scheduling system for EV charging using the optimization strategy of Chaotic Harris Hawks optimization (CHHO), which reduces the charging time and distance traveled by EVs. The CHHO-based system outperforms other algorithms in terms of energy utilization, travel time, and EV station utilization.
Article
Computer Science, Artificial Intelligence
Ivan Kristianto Singgih, Onyu Yu, Byung-In Kim, Jeongin Koo, Seungdoe Lee
JOURNAL OF INTELLIGENT MANUFACTURING
(2020)
Article
Engineering, Multidisciplinary
Hyunchul Tae, Byung-In Kim, Junhyuk Park
APPLIED MATHEMATICAL MODELLING
(2020)
Article
Computer Science, Interdisciplinary Applications
Jaesang Park, Byung-In Kim
COMPUTERS & INDUSTRIAL ENGINEERING
(2020)
Article
Chemistry, Physical
Hyunjoon Kim, Myungeun Eom, Byung-In Kim
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2020)
Review
Transportation
Myungeun Eom, Byung-In Kim
EUROPEAN TRANSPORT RESEARCH REVIEW
(2020)
Article
Computer Science, Interdisciplinary Applications
Jaesang Park, Byung-In Kim, Myungeun Eom, Byung Kwan Choi
Summary: Operating rooms are crucial facilities in hospitals, and efficient scheduling is necessary for optimizing hospital profits and providing good healthcare services. This study focuses on OR scheduling for a Korean university hospital, considering surgeons' preferences and cooperative operations. A mathematical programming model and solution approach were proposed, demonstrating the algorithm's effectiveness in generating superior schedules compared to manual or mathematically generated ones.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Management
Hyunjoon Kim, Byung-In Kim
Summary: This study investigates single processor scheduling problems that involve rate-modifying activities and processing time deterioration rates. The optimal positions of rate-modifying activities can be easily determined for some problem variants, while other variants require the determination of optimal job sequences and positions of rate-modifying activities.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Chemistry, Physical
Hyunjoon Kim, Byung-In Kim, Daniel Thiel
Summary: Incremental deployment of hydrogen refuelling stations is an efficient method for establishing hydrogen infrastructure with low financial risk. A multi-objective location model and solution methods were proposed to determine the optimal location for one or two new HRSs. The methods can be widely applied for effectively installing HRSs incrementally.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2021)
Article
Management
Hyunjoon Kim, Byung-In Kim
Summary: This paper proposes a dynamic programming-based exact algorithm for the multi-profit orienteering problem (MPOP), which can obtain optimal solutions for previously unsolved benchmark instances and update the best solutions for some benchmark instances.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Engineering, Multidisciplinary
Jonghwa Lee, Byung-In Kim
Summary: This paper presents an industrial ship routing problem faced by a steel company that exports its steel products to neighboring countries. It considers different types of ships and proposes two mathematical models to solve the problem. Computational experiments show that the path flow model is more efficient.
APPLIED MATHEMATICAL MODELLING
(2022)
Article
Computer Science, Interdisciplinary Applications
Jonghwa Lee, Byung-In Kim, Sang Hun Kim
Summary: This study introduces the block assignment problem in long-term production planning for a shipbuilder and proposes a two-stage matheuristic algorithm to solve it. The algorithm yields remarkable reductions in assignment costs and factory workload violations compared with manual planning, as demonstrated by computational experiments.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Automation & Control Systems
Inhye Bang, Byung-In Kim, Yonggu Kim
Summary: This study proposes a design methodology for efficient AMR routing in a factory with limited workspace, utilizing a virtual grid layout with direction constraints. Simulation experiments conducted on two factories using FlexSim demonstrated that AMR routing with the proposed virtual grid layout outperformed traditional guided path-based routing and unrestricted AMR routing in terms of average lead-time and number of deadlocks.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Review
Computer Science, Interdisciplinary Applications
Hyunjoon Kim, Byung-In Kim, Dong-jin Noh
COMPUTERS & INDUSTRIAL ENGINEERING
(2020)
Article
Engineering, Industrial
Ivan Kristianto Singgih, Byung-in Kim
EUROPEAN JOURNAL OF INDUSTRIAL ENGINEERING
(2020)
Article
Computer Science, Information Systems
Ivan Kristianto Singgih, Jonghwa Lee, Byung-In Kim
Article
Engineering, Multidisciplinary
A. A. Aganin, A. I. Davletshin
Summary: A mathematical model of interaction of weakly non-spherical gas bubbles in liquid is proposed in this paper. The model equations are more accurate and compact compared to existing analogs. Five problems are considered for validation, and the results show good agreement with experimental data and numerical solutions. The model is also used to analyze the behavior of bubbles in different clusters, providing meaningful insights.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Hao Wu, Jie Sun, Wen Peng, Lei Jin, Dianhua Zhang
Summary: This study establishes an analytical model for the coupling of temperature, deformation, and residual stress to explore the mechanism of residual stress formation in hot-rolled strip and how to control it. The accuracy of the model is verified by comparing it with a finite element model, and a method to calculate the critical exit crown ratio to maintain strip flatness is proposed.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Shengwen Tu, Naoki Morita, Tsutomu Fukui, Kazuki Shibanuma
Summary: This study aimed to extend the finite element method to cope with elastic-plastic problems by introducing the s-version FEM. The s-version FEM, which overlays a set of local mesh with fine element size on the conventional FE mesh, simplifies domain discretisation and provides accurate numerical predictions. Previous applications of the s-version FEM were limited to elastic problems, lacking instructions for stress update in plasticity. This study presents detailed instructions and formulations for addressing plasticity problems with the s-version FEM and analyzes a stress concentration problem with linear/nonlinear material properties.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Bo Fan, Zhongmin Wang
Summary: A 3D rotating hyperelastic composite REF model was proposed to analyze the influence of tread structure and rotating angular speed on the vibration characteristics of radial tire. Nonlinear dynamic differential equations and modal equations were established to study the effects of internal pressure, tread pressure sharing ratio, belt structure, and rotating angular speed on the vibration characteristics.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
X. W. Chen, Z. Q. Yue, Wendal Victor Yue
Summary: This paper examines the axisymmetric problem of a flat mixed-mode annular crack near and parallel to an arbitrarily graded interface in functionally graded materials (FGMs). The crack is modeled as plane circular dislocation loop and an efficient solution for dislocation in FGMs is used to calculate the stress field at the crack plane. The analytical solutions of the stress intensity factors are obtained and numerical study is conducted to investigate the fracture mechanics of annular crack in FGMs.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Xumin Guo, Jianfei Gu, Hui Li, Kaihua Sun, Xin Wang, Bingjie Zhang, Rangwei Zhang, Dongwu Gao, Junzhe Lin, Bo Wang, Zhong Luo, Wei Sun, Hui Ma
Summary: In this study, a novel approach combining the transfer matrix method and lumped parameter method is proposed to analyze the vibration response of aero-engine pipelines under base harmonic and random excitations. The characteristics of the pipelines are investigated through simulation and experiments, validating the effectiveness of the proposed method.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Xiangyu Sha, Aizhong Lu, Ning Zhang
Summary: This paper investigates the stress and displacement of a layered soil with a fractional-order viscoelastic model under time-varying loads. The correctness of the solutions is validated using numerical methods and comparison with existing literature. The research findings are of significant importance for exploring soil behavior and its engineering applications under time-varying loads.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Thuy Dong Dang, Thi Kieu My Do, Minh Duc Vu, Ngoc Ly Le, Tho Hung Vu, Hoai Nam Vu
Summary: This paper investigates the nonlinear torsional buckling of corrugated core sandwich toroidal shell segments with functionally graded graphene-reinforced composite (FG-GRC) laminated coatings in temperature change using the Ritz energy method. The results show the significant beneficial effects of FG-GRC laminated coatings and corrugated core on the nonlinear buckling responses of structures.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Zhihao Zhai, Chengbiao Cai, Qinglai Zhang, Shengyang Zhu
Summary: This paper investigates the effect of localized cracks induced by environmental factors on the dynamic performance and service life of ballastless track in high-speed railways. A mathematical approach for forced vibrations of Mindlin plates with a side crack is derived and implemented into a train-track coupled dynamic system. The accuracy of this approach is verified by comparing with simulation and experimental results, and the dynamic behavior of the side crack under different conditions is analyzed.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
James Vidler, Andrei Kotousov, Ching-Tai Ng
Summary: The far-field methodology, developed by J.C. Maxwell, is utilized to estimate the effective third order elastic constants of composite media containing random distribution of spherical particles. The results agree with previous studies and can be applied to homogenization problems in other fields.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Kim Q. Tran, Tien-Dat Hoang, Jaehong Lee, H. Nguyen-Xuan
Summary: This study presents novel frameworks for graphene platelets reinforced functionally graded triply periodic minimal surface (GPLR-FG-TPMS) plates and investigates their performance through static and free vibration analyses. The results show that the mass density framework has potential for comparing different porous cores and provides a low weight and high stiffness-to-weight ratio. Primitive plates exhibit superior performance among thick plates.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Bence Hauck, Andras Szekrenyes
Summary: This study explores several methods for computing the J-integral in laminated composite plate structures with delamination. It introduces two special types of plate finite elements and a numerical algorithm. The study presents compact formulations for calculating the J-integral and applies matrix multiplication to take advantage of plate transition elements. The models and algorithms are applied to case studies and compared with analytical and previously used finite element solutions.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Wu Ce Xing, Jiaxing Wang, Yan Qing Wang
Summary: This paper proposes an effective mathematical model for bolted flange joints to study their vibration characteristics. By modeling the flange and bolted joints, governing equations are derived. Experimental studies confirm that the model can accurately predict the vibration characteristics of multiple-plate structures.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Pingchao Yu, Li Hou, Ke Jiang, Zihan Jiang, Xuanjun Tao
Summary: This paper investigates the imbalance problem in rotating machinery and finds that mass imbalance can induce lateral-torsional coupling vibration. By developing a model and conducting detailed analysis, it is discovered that mass imbalance leads to nonlinear time-varying characteristics and there is no steady-state torsional vibration in small unbalanced rotors. Under largely unbalanced conditions, both resonant and unstable behavior can be observed, and increasing lateral damping can suppress instability and reduce lateral amplitude in the resonance region.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Yong Cao, Ziwen Guo, Yilin Qu
Summary: This paper investigates the mechanically induced electric potential and charge redistribution in a piezoelectric semiconductor cylindrical shell. The results show that doping levels can affect the electric potentials and mechanical displacements, and alter the peak position of the zeroth-order electric potential. The doping level also has an inhibiting effect on the first natural frequency. These findings are crucial for optimizing the design and performance of cylindrical shell-shaped sensors and energy harvesters.
APPLIED MATHEMATICAL MODELLING
(2024)
