Article
Thermodynamics
Yanbin Li, Jiani Wang, Weiye Wang, Chang Liu, Yun Li
Summary: This paper examines the location strategies of electric vehicle charging stations (EVCS) in China from the perspective of private investors, considering the competitive environment. A three-level location model with dynamic pricing is developed, and the soft actor-critic reinforcement learning algorithm is used to train the optimal pricing strategy for EVCS. Case studies based on an industrial park in China verify the proposed methodology, showing that it can provide more economical and scientific location decisions than traditional methods. The dynamic pricing method based on reinforcement learning can also serve as a reference for the location and operation of more EVCSs.
Article
Thermodynamics
Fang Guo, Jingjing Zhang, Zhihong Huang, Weilai Huang
Summary: Electric vehicles (EVs) have gained attention in logistics due to government support and increasing environmental awareness. This study proposes an integer programming model based on a charging model and battery wear model to solve the routing problem of EVs. The benefits of considering charging time, battery wear, and distribution are demonstrated through examples, and sensitivity analysis is conducted on wear cost and charging time.
Article
Energy & Fuels
Hilal Yilmaz, Betul Yagmahan
Summary: Equipping highways with charging stations is essential for convenient travel with electric vehicles between cities and countries. A new binary integer linear programming model is presented in this article to determine the minimum required charging stations and their locations, considering the minimum driving range for all possible paths in a transportation network. Two versions of the model are introduced and validated through computational experiments, showing efficient and practical solutions for large-scale problems in a short CPU time.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Economics
Na Li, Yue Jiang, Zhi-Hai Zhang
Summary: This paper introduces a new charging service mode for electric vehicles called valet charging service and proposes a two-stage stochastic mixed-integer model to study its impact on the location and capacity of charging stations. Insights are provided through numerical experiments and case studies to help companies make rational decisions regarding this new service mode.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2021)
Article
Computer Science, Interdisciplinary Applications
Zhiyan Yi, Bingkun Chen, Xiaoyue Cathy Liu, Ran Wei, Jianli Chen, Zhuo Chen
Summary: As the market penetration of electric vehicles (EVs) increases, there is a need for an efficient deployment strategy of electrical vehicle supply equipment (EVSE) to avoid overloading the power grid and disrupt infrastructure planning. This study addresses the EVSE problem by simulating public charging demand and optimizing charging station locations. The study uses an agent-based modeling approach to generate high-resolution daily driving profiles and applies a location model to reallocate existing charging stations to maximize coverage of charging demands under constraints. The framework provides practical support for future public EVSE installation.
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS
(2023)
Article
Green & Sustainable Science & Technology
Shahin Sadeghi Ahangar, Seyed Reza Abazari, Masoud Rabbani
Summary: This study develops a bi-objective mixed-integer linear mathematical model for the charging station location problem, which is solved using the Lagrangian relaxation method. A case study on Tehran is conducted to evaluate the model's applicability on real-world problems, and sensitivity analysis on key parameters is performed, providing helpful suggestions for decision-makers.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Economics
Omer Burak Kinay, Fatma Gzara, Sibel A. Alumur
Summary: This paper introduces a new full cover modeling framework for designing infrastructure for electric vehicle charging stations. Mathematical models are used to optimize station locations for long-distance travel, providing optimal routes and charging solutions. Computational experiments show that the proposed models outperform existing settings in the literature.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2021)
Review
Transportation Science & Technology
Mouna Kchaou-Boujelben
Summary: Charging infrastructure planning significantly impacts the adoption of EVs and alternative fuel vehicles. The charging station location problem involves optimizing location considering various features, constraints, and dynamic components, posing a challenge in practical implementation. Researchers have made efforts to develop innovative solutions to efficiently address the problem.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2021)
Article
Construction & Building Technology
Jiale Li, Zhenbo Liu, Xuefei Wang
Summary: The study uses an improved genetic algorithm to determine the location of public charging stations, considering the investment of charging station operators and the travel costs of BEV owners, reducing the total cost by 7.6%.
SUSTAINABLE CITIES AND SOCIETY
(2021)
Article
Thermodynamics
Peter Makeen, Hani A. Ghali, Saim Memon, Fang Duan
Summary: This paper proposes a novel smart techno-economic operation method for electric vehicle charging stations (EVCS) controlled by an aggregator based on a hierarchal model. The deterministic charging scheduling is used to balance the generated and consumed power and surplus power is supplied to the utility grid. Mixed-integer linear programming (MILP) is used to solve the first stage, and Markov Decision Process Reinforcement Learning (MDP-RL) is used to maximize the charging station profit. The outcomes show a sufficient techno-economic hierarchical model for normal operation.
Article
Economics
Sevgi Erdogan, Ismail Capar, Ibrahim Capar, Mohammad Motalleb Nejad
Summary: In this paper, an optimization-based approach is used to locate electric vehicle fast charging stations with a focus on designated EV corridors. New objective functions and constraints are introduced to better align with the goal of enabling EV corridors. The experiment results suggest that corridor prioritization is crucial for selecting a solution with more stations on corridors.
SOCIO-ECONOMIC PLANNING SCIENCES
(2022)
Article
Operations Research & Management Science
Omer Burak Kinay, Fatma Gzara, Sibel A. Alumur
Summary: This paper presents a study on determining the strategic location and capacity levels of charging stations for electric vehicles, taking into account the route choice response of users. A bilevel optimization model is used to solve the problem, and a decomposition-based solution methodology is developed. Through computational experiments, the impact of route choice response, service requirements, and deviation tolerance on location and capacity decisions is analyzed. The results show that stringent service requirements increase capacity levels at charging stations, and solutions allowing higher deviations are less costly. Moreover, the difference between cooperative and uncooperative route choices is more significant when deviation tolerance is lower.
TRANSPORTATION SCIENCE
(2023)
Article
Energy & Fuels
Sachpreet Kaur, Tarlochan Kaur, Rintu Khanna
Summary: Compared to conventional grids, microgrids in islanded mode experience severe frequency fluctuations. Using storage batteries of electric vehicles (EVs) is a cost-effective solution to address this problem. In this study, a "Frequency Control Module" is designed to monitor EVs and regulate frequency in microgrids. The proposed methodology is verified through case studies, showing reduced frequency variations and minimal changes in plug-in time.
Article
Construction & Building Technology
Dong Qiao, Guangmin Wang, Meng Xu
Summary: Electric vehicles (EVs) are crucial for reducing air pollution in urban areas as they produce zero emissions. To address the planning problem of fast-charging stations (FCS) for EVs, a two-phase approach consisting of data processing and model optimization is proposed. The developed model aims to minimize the total social cost (TSC) by integrating the maximal coverage location model and charging equilibrium model.
SUSTAINABLE CITIES AND SOCIETY
(2023)
Article
Transportation Science & Technology
Mohsen Dastpak, Fausto Errico, Ola Jabali, Federico Malucelli
Summary: This article discusses the problem of an Electric Vehicle (EV) finding the shortest route from an origin to a destination and proposes a problem model that considers the occupancy indicator information of charging stations. A Markov Decision Process formulation is presented to optimize the EV routing and charging policy. A reoptimization algorithm is developed to establish the sequence of charging station visits and charging amounts based on system updates. Results from a comprehensive computational study show that the proposed method significantly reduces waiting times and total trip duration.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2024)
Article
Green & Sustainable Science & Technology
Antonio Comi, Antonio Polimeni
Article
Chemistry, Physical
L. Andaloro, G. Napoli, S. Micari, G. Dispenza, F. Sergi, P. Fragiacomo, V. Antonucci
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2020)
Article
Transportation
Antonio Comi, Agostino Nuzzolo, Antonio Polimeni
Summary: This study revisits a modeling framework for simulating delivery tours and presents preliminary results of its implementation in a real test case, successfully extracting vehicle tours data using GPS traces to obtain satisfactory freight distribution O-D matrices.
TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCH
(2021)
Article
Engineering, Electrical & Electronic
S. Micari, S. Foti, A. Testa, S. De Caro, F. Sergi, L. Andaloro, D. Aloisio, G. Napoli
Summary: Environmental climate change has prompted global efforts to reduce energy consumption and greenhouse gas emissions. The introduction of Zero-Emission Vehicles using electrical powertrains can lead to improved environmental outcomes and urban livability. Despite advancements in battery research, challenges such as cost, range anxiety, and charging infrastructure still hinder the widespread adoption of electric vehicles. Expectations are high for the development of new Li-ion batteries with advantages like high energy density and long cycle life to enhance EV performance.
ELECTRICAL ENGINEERING
(2022)
Article
Computer Science, Information Systems
Antonio Comi, Alexander Rossolov, Antonio Polimeni, Agostino Nuzzolo
Summary: Data on the daily activity of private cars is crucial for transportation engineering studies, and advances in telematics have allowed for more detailed and voluminous data collection. This study presents a methodology for obtaining origin-destination flows using automated vehicle monitoring data, and validates the method through a real test case in the Veneto region of Italy. The analysis includes a comparison with traffic count data and highlights issues related to sample representativeness and spatial coverage.
Article
Energy & Fuels
Salvatore Micari, Salvatore Foti, Antonio Testa, Salvatore De Caro, Francesco Sergi, Laura Andaloro, Davide Aloisio, Salvatore Gianluca Leonardi, Giuseppe Napoli
Summary: This article discusses the issue of capacity loss in lithium-ion batteries used in electric vehicles and presents experimental tests and analysis conducted on a lithium-ion battery for automotive applications. The research shows that the battery's lifetime and usage pattern are closely related, with different driving cycles causing varying degrees of capacity degradation. A lifetime model is proposed to calculate the total capacity loss, providing a reference for the design of electric vehicles.
Article
Green & Sustainable Science & Technology
Massimo Di Gangi, Antonio Polimeni, Orlando Marco Belcore
Summary: Freight transportation in urban areas is crucial for economic development, and the demand for short-distance freight distribution has been increasing due to the spread of e-commerce, accelerated by COVID-19. While most cities use new technologies for delivery operations, there are still challenges to be addressed, especially in low accessibility areas like small islands that rely exclusively on maritime links with unreliable services.
Article
Green & Sustainable Science & Technology
Orlando Marco Belcore, Massimo Di Gangi, Antonio Polimeni
Summary: This paper proposes a generic framework for integrating autonomous and connected vehicles with physical infrastructures. It evaluates the opportunity to manage traffic arrivals according to vehicles' priority and tests the effects of introducing a buffer zone outside the maritime port. It also improves efficiency and security within the terminal area by reducing waiting time and avoiding interference between flows.
Article
Transportation
Massimo Di Gangi, Antonio Polimeni
Summary: This study examines the effects of implementing commonly used path choice models (Logit, Weibit, Probit, and Gammit) within a Stochastic User Equilibrium assignment process. It also suggests considerations for parameter comparability and estimation methods, as well as proposing extensions based on the Weibit model. Results obtained from both a test network and a real network are reported.
FRONTIERS IN FUTURE TRANSPORTATION
(2022)
Article
Multidisciplinary Sciences
Antonio Comi, Antonio Polimeni
Summary: Path choice models are crucial in transportation engineering but their implementation can be complex and resource-consuming. This paper explores the opportunities offered by floating car data (FCD) to calibrate a path choice model and applies it to passenger and freight transport case studies, showing significant results.
Article
Economics
Antonio Comi, Antonio Polimeni, Umberto Crisalli, Agostino Nuzzolo
Summary: This paper investigates road freight transport through floating car data to identify potential demand that can be shifted from road to rail-road intermodal transport. The developed parametric methodology can be easily transferred to other regional contexts, and a real test case application in Padua, Italy, shows the effectiveness of the proposed approach in inferring truck/lorry O-D flows. The out-of-sample validation study demonstrates a close reproduction of observed traffic counts and the identification of potential O-D relationships that could be interested by shifting.
INTERNATIONAL JOURNAL OF TRANSPORT ECONOMICS
(2021)
Proceedings Paper
Automation & Control Systems
S. Micari, S. Foti, A. Testa, S. De Caro, F. Sergi, L. Andaloro, D. Aloisio, G. Napoli
2020 INTERNATIONAL SYMPOSIUM ON POWER ELECTRONICS, ELECTRICAL DRIVES, AUTOMATION AND MOTION (SPEEDAM 2020)
(2020)
Article
Energy & Fuels
M. Ahmadifar, K. Benfriha, M. Shirinbayan, A. Aoussat, J. Fitoussi
Summary: This study investigates the impact of innovative polymer-metal interface treatment on the reliability and robustness of hydrogen storage technology. A scaled-down demonstrator was fabricated using rotomolding to examine the mechanical characteristics, damage, and fatigue behaviors of the metal-polymer interface. The findings reveal that sandblasting treatment enhances the resilience of the interface.
JOURNAL OF ENERGY STORAGE
(2024)
Article
Energy & Fuels
A. A. Kandil, Mohamed M. Awad, Gamal I. Sultan, Mohamed S. Salem
Summary: This paper proposes a novel hybrid system that splits solar radiation into visible and thermal components using a beam splitter and integrates a phase change material (PCM) packed bed with a PV cell. Experimental and theoretical analyses show that the hybrid configuration significantly increases the net power output of the system compared to using a PV system alone.
JOURNAL OF ENERGY STORAGE
(2024)
Article
Energy & Fuels
Jinchao Li, Ya Xiao, Shiqiang Lu
Summary: The combination of energy storage and microgrids is crucial in addressing the uncertainty of distributed wind and solar resources. This article proposes a multi microgrid interaction system with electric-hydrogen hybrid energy storage, which optimizes the system's capacity configuration to improve its economy and reliability.
JOURNAL OF ENERGY STORAGE
(2024)
Review
Energy & Fuels
Shri Hari S. Pai, Sarvesh Kumar Pandey, E. James Jebaseelan Samuel, Jin Uk Jang, Arpan Kumar Nayak, HyukSu Han
Summary: This review discusses the structure-property relationship of nickel oxide nanostructures as excellent supercapacitive materials and provides an overview of various preparation methods and strategies to enhance specific capacitance. It comprehensively analyzes the current status, challenges, and future prospects of nickel oxide electrode materials for energy storage devices.
JOURNAL OF ENERGY STORAGE
(2024)
Article
Energy & Fuels
Xiaowei Wu, Xin Dong, Ziqin Liu, Xinyi Wang, Pu Hu, Chaoqun Shang
Summary: The growth of Li dendrites in lithium metal batteries is effectively controlled by constructing a three-dimensional framework on the surface of Li using Ni(OH)2 nanosheets modified Prussian blue tubes. This method provides a homogenous Li+ flux and sufficient space to accommodate the volume change of Li, resulting in suppressed dendrite growth and improved cycling performance.
JOURNAL OF ENERGY STORAGE
(2024)
Article
Energy & Fuels
Yan-Jie Liao, Yi-Yen Hsieh, Yi-Chun Yang, Hsing-Yu Tuan
Summary: We present two-dimensional AgInP2Se6 (AIPSe) bimetallic phosphorus trichalcogenides nanosheets as anodes for advanced alkali metal ion batteries (AMIBs). The introduction of bimetallic components enhances the electronic/ionic conductivity and optimizes the redox dynamics, resulting in superior electrochemical performance. The AIPSe@G anodes achieve high specific capacity, excellent cycle stability, and rate capability in both lithium-ion (LIBs) and potassium-ion batteries (PIBs). The comprehensive full cell tests further demonstrate the stability of AIPSe@G anodes under diverse current regimes.
JOURNAL OF ENERGY STORAGE
(2024)
Article
Energy & Fuels
Chenghu Wu, Weiwei Li, Tong Qian, Xuehua Xie, Jian Wang, Wenhu Tang, Xianfu Gong
Summary: In the context of increasing global environmental pollution and constant increase of carbon emission, hydrogen production from surplus renewable energy and hydrogen transportation using existing natural gas pipelines are effective means to mitigate renewable energy fluctuation, build a decarbonized gas network, and achieve the goal of carbon peak and carbon neutral in China. This paper proposes a quasi-steady-state modeling method of a hydrogen blended integrated electricity-gas system (HBIEGS) considering gas linepack and a sequential second-order cone programming (S-SOCP) method to solve the developed model. The results show that the proposed method improves computational efficiency by 91% compared with a general nonlinear solver.
JOURNAL OF ENERGY STORAGE
(2024)
Article
Energy & Fuels
Jingcen Zhang, Zhi Guo, Yazheng Zhu, Haifeng Zhang, Mengjie Yan, Dong Liu, Junjie Hao
Summary: In this study, a new type of sensible heat storage material was prepared using low-cost steel slag as the main component, providing an effective way of recycling steel slag. By analyzing the effects of different pretreatment steel slag content and sintering temperatures on the organization and properties of heat storage materials, the study found that the steel slag heat storage material exhibited excellent performance and stability under certain conditions.
JOURNAL OF ENERGY STORAGE
(2024)
Article
Energy & Fuels
D. Carrillo-Pena, G. Pelaz, R. Mateos, A. Escapa
Summary: Methanogenic biocathodes have the potential to convert CO2 and electricity into methane, making them suitable for long-term electrical energy storage. They can also function as biological supercapacitors for short-term energy storage, although this aspect has received less attention. In this study, carbon-felt-based MB modified with graphene oxide were investigated for their electrical charge storage capabilities. Results showed that the potential of the electrode during discharging plays a significant role in determining the charge storage capacity.
JOURNAL OF ENERGY STORAGE
(2024)
Article
Energy & Fuels
Marco Gambini, Federica Guarnaccia, Michele Manno, Michela Vellini
Summary: This paper presents an analytical assessment of the energy-power relationship for different material-based hydrogen storage systems. It explores the impact of power demand on the amount of discharged hydrogen and the utilization factor. The results show that metal hydrides have higher specific power compared to liquid organic hydrogen carriers. The study provides insights into the discharge duration and energy utilization of hydrogen storage systems.
JOURNAL OF ENERGY STORAGE
(2024)
Article
Energy & Fuels
Shujahadeen B. Aziz, Rebar T. Abdulwahid, Pshko A. Mohammed, Srood O. Rashid, Ari A. Abdalrahman, Wrya O. Karim, Bandar A. Al-Asbahi, Abdullah A. A. Ahmed, M. F. Z. Kadir
Summary: This study investigates a novel biodegradable green polymer electrolyte for energy storage. Results show that the sample with added glycerol has the highest conductivity. The primary conduction species in the electrolyte are ions. Testing confirms that the sample can withstand a voltage suitable for practical applications.
JOURNAL OF ENERGY STORAGE
(2024)
Article
Energy & Fuels
Binit Kumar, Abhishek Awasthi, C. Suresh, Yongseok Jeon
Summary: This study presents a new numerical model for effective thermal conductivity that overcomes the limitations of previous models. The model can be applied to various shapes and phase change materials, using the same constants. By incorporating the natural convection effect, the model accurately calculates the thermal conductivity. The results of the study demonstrate the effectiveness of the model for different shapes and a wide range of alkanes.
JOURNAL OF ENERGY STORAGE
(2024)
Article
Energy & Fuels
Supak Pattaweepaiboon, Wisit Hirunpinyopas, Pawin Iamprasertkun, Katechanok Pimphor, Supacharee Roddecha, Dirayanti Dirayanti, Adisak Boonchun, Weekit Sirisaksoontorn
Summary: In this study, electrode powder from spent zinc-carbon/alkaline batteries was upcycled into LiMn2O4 cathode and carbon anode for rechargeable lithium-ion batteries. The results show that the upcycled LiMn2O4 exhibits improved electrochemical performance, with higher discharge capacity compared to pristine LiMn2O4. Additionally, the recovered carbon materials show superior cycling performance. This research provides great potential for upcycling waste battery electrodes to high-value cathode and anode materials for lithium-ion battery applications.
JOURNAL OF ENERGY STORAGE
(2024)
Article
Energy & Fuels
Pan Yang, H. D. Yang, X. B. Meng, C. R. Song, T. L. He, J. Y. Cai, Y. Y. Xie, K. K. Xu
Summary: This paper introduces a novel multi-task learning data-driven model called GBLS Booster for accurately assessing the state of health (SOH) and remaining useful life (RUL) of lithium batteries. The model combines the strengths of GBLS and the CNN-Transformers algorithm-based Booster, and the Tree-structured Parzen Estimator (TPE) algorithm is used for optimization. The study devises 10 healthy indicators (HIs) derived from readily available sensor data to capture variations in battery SOH. The random forest method (RF) is employed for feature refinement and data dimension reduction, while the complete empirical mode decomposition (CEEMDAN) method and the Pearson correlation coefficient are used for noise reduction and data point elimination in RUL prediction. The proposed model demonstrates exceptional accuracy, robustness, and generalization capabilities.
JOURNAL OF ENERGY STORAGE
(2024)
Article
Energy & Fuels
M. Arrinda, M. Oyarbide, L. Lizaso, U. Osa, H. Macicior, H. J. Grande
Summary: This paper proposes a robust aging model generation methodology for lithium-ion batteries with any kind of lab-level aging data availability. The methodology involves four phases and ensures the robustness of the aging model through a verification process.
JOURNAL OF ENERGY STORAGE
(2024)