Article
Engineering, Electrical & Electronic
Anil Kumar Reddy Siddavatam, Kaushik RajaShekara, Ravi Prakash Reddy, Hao Huang, Harish S. Krishnamoorthy, Zhou Dong, Fei Wang
Summary: This article introduces two electrical architectures for electric/hybrid-electric aircraft propulsion systems to address the issues of the radial baseline architecture. By using these architectures, faults on the bus can be isolated without disconnecting all the propulsion motors, increasing system reliability. The protection strategy and action of circuit breakers are discussed, and the feasibility of interconnecting individual propulsion channels to reduce component oversizing is also analyzed.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2023)
Article
Energy & Fuels
Aree Wangsupphaphol, Nik Rumzi Nik Idris, Awang Jusoh, Nik Din Muhamad, Surachai Chaitusaney
Summary: This paper presents a design of supercapacitor capacity and current control for a real-scale battery hybrid electric vehicle using an acceleration and deceleration scheme. The proposed design is evaluated through simulations and experiments, demonstrating its advantages in terms of speed tracking performance, supercapacitor current control performance, battery voltage variation, and power and energy consumption.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Engineering, Electrical & Electronic
Harish Karneddi, Deepak Ronanki
Summary: This letter introduces a new reconfigurable battery charger that can charge existing and next-generation EV battery packs with the same power rating. It uses only one relay and a filter capacitor branch, avoiding the need for many passive and active components for reconfiguration. The charger's configuration also avoids the need for a large grid-side filter and can operate in an extremely wide voltage range with intermediate battery voltage charging options.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2023)
Article
Green & Sustainable Science & Technology
Shaik Reddi Khasim, C. Dhanamjayulu
Summary: The effect of pollution and fossil fuel usage on the planet has accelerated the growth of electric vehicles, with hybrid electric vehicles providing a quick solution. To extend the driving range of EVs, multiple energy sources need to be integrated with the battery to reduce charging time. Efficient power electronic circuitry is essential for handling energy from different sources for vehicle propulsion.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Review
Energy & Fuels
Elango Sangeetha, Vijayapriya Ramachandran
Summary: This paper presents a technical review of the sub-systems and control strategies of battery electric vehicles (BEVs), including electrical machines, storage systems, and power electronic converters. The study highlights the importance of integrating new power electronic converter topologies and control strategies to enhance the reliability and performance of the overall system.
Review
Energy & Fuels
Ravindranath Tagore Yadlapalli, Anuradha Kotapati, Rajani Kandipati, Chandra Sekhar Koritala
Summary: This paper presents the technological advancements of electric vehicles (EVs) worldwide. The focus is on various types of EVs and energy management strategies, as well as the utilization of energy-efficient wide bandgap (WBG) semiconductor technology. The paper mainly discusses the features of SiC devices for EV applications, performance enhancement methods, survey of SiC-based power converter topologies, and the importance of energy optimization in EV charging systems. It also explores the challenges associated with SiC power modules.
JOURNAL OF ENERGY STORAGE
(2022)
Review
Chemistry, Physical
Gang Zhao, Xiaolin Wang, Michael Negnevitsky, Hengyun Zhang
Summary: The BTMS is crucial for battery performance in EVs and HEVs, with air-cooling BTMS being widely used in the industry due to its compact structure, reliability, and safety characteristics. By introducing new concepts, innovative designs, and novel thermally conductive materials, the air-cooling efficiency can be greatly improved.
JOURNAL OF POWER SOURCES
(2021)
Article
Thermodynamics
Hany M. Hasanien, Ibrahim Alsaleh, Marcos Tostado-Veliz, Miao Zhang, Ayoob Alateeq, Francisco Jurado, Abdullah Alassaf
Summary: This research introduces a novel technique, the Hybrid Particle Swarm Optimization and Sea Horse Optimization (PSOSHO) algorithm, for solving the optimal reactive power dispatch (ORPD) problem in electrical grids. Simulation studies verify its efficacy and real data on electric vehicles are incorporated for realistic analyses.
Article
Engineering, Electrical & Electronic
Huilong Yu, Francesco Castelli-Dezza, Federico Cheli, Xiaolin Tang, Xiaosong Hu, Xianke Lin
Summary: This article proposes a bilevel multiobjective design and control framework for hybrid energy storage systems using NSGA-II and FLC to simultaneously optimize the size of HESS and real-time power management system. Vectorization improves optimization efficiency, and results show competitive performance improvements in terms of battery life and vehicle performance.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2021)
Article
Engineering, Electrical & Electronic
Patrick Wheeler, Thusara Samith Sirimanna, Serhiy Bozhko, Kiruba S. Haran
Summary: The concept of electric propulsion in transportation has a long history, with electric cars existing nearly 200 years ago. The global society is now moving towards more electric transportation solutions, including electric propulsion for aircraft. This includes both all-electric systems and a variety of proposed hybrid propulsion systems, with ongoing research and development in motors and drives to ensure feasibility for the future of passenger flight.
PROCEEDINGS OF THE IEEE
(2021)
Article
Green & Sustainable Science & Technology
Seyyed Ali Ghorashi Khalil Abadi, Jeewon Choi, Ali Bidram
Summary: This paper proposes a methodology to increase the lifetime of the central battery energy storage system (CBESS) and enhance the voltage quality of an islanded building-level DC microgrid (MG). It achieves this by utilizing the supercapacitor (SC) of electric vehicles (EVs) and employing a data-driven algorithm to adjust the bandwidth of a filtration-based (FB) current-sharing strategy. The proposed approach improves the marginal voltage stability of the DC MG, leading to better transient response and higher voltage quality.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2023)
Article
Energy & Fuels
Hartani Mohamed Amine, Al Kouzbary Mouaz, Hamouda Messaoud, Abdelkhalek Othmane, Mekhilef Saad
Summary: The study examines the control of HESS subjected to pulsed power balance changes through splitting frequency parts of load requirements among battery and supercapacitor. The use of Super-twisting sliding mode controller (STSMC) allows for rapid convergence, reduced chattering, and improved stability, resulting in superior performance of the HESS.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Chemistry, Analytical
Catalina Gonzalez-Castano, Carlos Restrepo, Freddy Flores-Bahamonde, Jose Rodriguez
Summary: This paper proposes a composite converter architecture that integrates a versatile buck-boost converter into an electric vehicle to improve the efficiency of the electric motor. The proposed topology demonstrates superior power conversion efficiency and stability through thermal simulation and experimental validation.
Article
Engineering, Electrical & Electronic
Mehrdad Ehsani, Krishna Veer Singh, Hari Om Bansal, Ramin Tafazzoli Mehrjardi
Summary: Electric and hybrid electric vehicles are promising solutions for reducing pollution and saving fossil fuels, requiring optimization of components, systems, and controls in their design. This overview discusses the challenges and future technologies in the field, serving as a reference for researchers working on EV/HEV.
PROCEEDINGS OF THE IEEE
(2021)
Article
Computer Science, Information Systems
Waleed M. Hamanah, Aboubakr Salem, M. A. Abido, Abdulaziz M. Qwbaiban, Thomas G. Habetler
Summary: Concentrated solar power (CSP) is a growing technology that aims to collect solar energy from the sunbeams. This article provides a comprehensive review of different CSP drives and discusses the development and research gaps in this area. It also presents a case study to investigate the performance of a small-sized heliostat prototype using the azimuth-elevation dual-axis tracking.
Article
Energy & Fuels
Clemente Capasso, Davide Lauria, Ottorino Veneri
Article
Energy & Fuels
Carlo Beatrice, Clemente Capasso, Michela Costa, Gabriele Di Blasio, Giuseppe Di Luca, Francesco Iantorno, Gaia Martoriello
Summary: This study deals with the design and management of an innovative hybrid thermal-electric propulsion system for passenger boats. The experimental tests and simulation results show significant improvements compared to traditional internal combustion engine configurations, and the use of genetic algorithms for optimization achieves the dual objectives of extending battery life and reducing exhaust emissions.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Medicine, General & Internal
Elio Bignardi, Claudia Brogna, Chiara Capasso, Barbara Brogna
Summary: This article reports a clinical case resembling a breakthrough infection, which occurred at least 2 weeks after vaccination and was correlated with a positive result for the delta variant. The patient had a higher score of COVID-19 pneumonia on chest CT and died during hospitalization.
CLINICAL CASE REPORTS
(2022)
Proceedings Paper
Engineering, Electrical & Electronic
Carlo Beatrice, Clemente Capasso, Stylianos Doulgeris, Marco Riccardi, Zisis Samaras, Ottorino Veneri
Summary: This study focuses on the on-board integration of lithium-ion capacitors into plug-in hybrid electric vehicles, evaluating and comparing specific energy management strategies to optimize battery cycling life. Results show the benefits of using hybrid energy storage systems with lithium-ion capacitors in reducing peak power for the battery pack and minimizing the impact on battery cycling life.
2021 IEEE VEHICLE POWER AND PROPULSION CONFERENCE (VPPC)
(2021)
Article
Medicine, General & Internal
Barbara Brogna, Elio Bignardi, Claudia Brogna, Chiara Capasso, Giuliano Gagliardi, Alberigo Martino, Lanfranco Aquilino Musto
Summary: COVID-19 vaccination does not provide complete protection against virus infection, and even fully vaccinated individuals may still be at risk. Caution should be maintained after vaccination, and the use of masks and social distancing in all closed environments should continue. Further clinical trials are needed to understand how factors like virus mutations, age, and immunocompromised states can impact vaccine effectiveness.
MEDICINA-LITHUANIA
(2021)
Proceedings Paper
Education, Scientific Disciplines
Dario Assante, Clemente Capasso, Ottorino Veneri, Manuel Castro, Sergio Martin, Hamid Doost Mohammadian
Summary: Technologies 4.0 have brought disruptive innovation in the energy sector, with the development of smart grids and network management mechanisms leading to significant improvements in monitoring and optimization levels. There is a radical change in the skills required by the labor market to operate in the energy sector, giving rise to new professional figures with both electricity and IT skills.
PROCEEDINGS OF THE 2021 IEEE GLOBAL ENGINEERING EDUCATION CONFERENCE (EDUCON)
(2021)
Article
Energy & Fuels
Flavio Balsamo, Clemente Capasso, Davide Lauria, Ottorino Veneri
Article
Engineering, Multidisciplinary
Dario Assante, Clemente Capasso, Ottorino Veneri
Proceedings Paper
Energy & Fuels
Clemente Capasso, Emilio Notti, Ottorino Veneri
INNOVATIVE SOLUTIONS FOR ENERGY TRANSITIONS
(2019)
Proceedings Paper
Energy & Fuels
Clemente Capasso, Guido Rubino, Luigi Rubino, O. Veneri
RENEWABLE ENERGY INTEGRATION WITH MINI/MICROGRID
(2019)
Proceedings Paper
Automation & Control Systems
Pompeo Marino, Guido Rubino, Luigi Rubino, Clemente Capasso, Ottorino Veneri
2018 INTERNATIONAL SYMPOSIUM ON POWER ELECTRONICS, ELECTRICAL DRIVES, AUTOMATION AND MOTION (SPEEDAM)
(2018)
Proceedings Paper
Automation & Control Systems
Flavio Balsamo, Clemente Capasso, Ottorino Veneri
2018 INTERNATIONAL SYMPOSIUM ON POWER ELECTRONICS, ELECTRICAL DRIVES, AUTOMATION AND MOTION (SPEEDAM)
(2018)
Proceedings Paper
Education, Scientific Disciplines
Clemente Capasso, Ottorino Istituto Motori Veneri, Dario Assante
PROCEEDINGS OF 2018 IEEE GLOBAL ENGINEERING EDUCATION CONFERENCE (EDUCON) - EMERGING TRENDS AND CHALLENGES OF ENGINEERING EDUCATION
(2018)
Article
Energy & Fuels
Ottorino Veneri, Clemente Capasso, Stanislao Patalano
Proceedings Paper
Thermodynamics
F. Balsamo, C. Capasso, G. Miccione, O. Veneri
ATI 2017 - 72ND CONFERENCE OF THE ITALIAN THERMAL MACHINES ENGINEERING ASSOCIATION
(2017)
Article
Energy & Fuels
Shitong Fang, Houfan Du, Tao Yan, Keyu Chen, Zhiyuan Li, Xiaoqing Ma, Zhihui Lai, Shengxi Zhou
Summary: This paper proposes a new type of nonlinear VIV energy harvester (ANVEH) that compensates for the decrease in peak energy output at low wind speeds by introducing an auxiliary structure. Theoretical and experimental results show that ANVEH performs better than traditional nonlinear VIV energy harvesters under various system parameter variations.
Article
Energy & Fuels
Wei Jiang, Shuo Zhang, Teng Wang, Yufei Zhang, Aimin Sha, Jingjing Xiao, Dongdong Yuan
Summary: A standardized method was developed to evaluate the availability of solar energy resources in road areas, which combined the Analytic Hierarchy Process (AHP) and the Geographic Information System (GIS). By analyzing critical factors and using a multi-indicator evaluation method, the method accurately evaluated the utilization of solar energy resources and guided the optimal location selection for road photovoltaic (PV) projects. The results provided guidance for the application of road PV projects and site selection for route corridors worldwide, promoting the integration of transportation and energy.
Article
Energy & Fuels
Chang Liu, Jacob A. Wrubel, Elliot Padgett, Guido Bender
Summary: The study investigates the effects of coating defects on the performance of the anode porous transport layer (PTL) in water electrolyzers. The results show that an increasing fraction of uncoated regions on the PTL leads to decreased cell performance, with continuous uncoated regions having a more severe impact compared to multiple thin uncoated strips.
Article
Energy & Fuels
Marcos Tostado-Veliz, Xiaolong Jin, Rohit Bhakar, Francisco Jurado
Summary: In this paper, a coordinated charging price mechanism for clusters of parking lots is proposed. The research shows that enabling vehicle-to-grid characteristics can bring significant economic benefits for users and the cluster coordinator, and vehicle-to-grid impacts noticeably on the risk-averse character of the uncertainty-aware strategies. The developed pricing mechanism can reduce the cost for users, avoiding to directly translate the energy cost to charging points.
Article
Energy & Fuels
Duan Kang
Summary: Building an energy superpower is a key strategy for China and a long-term goal for other countries. This study proposes an evaluation system and index for measuring energy superpower, and finds that China has significantly improved its ranking over the past 21 years, surpassing other countries.
Article
Energy & Fuels
Fucheng Deng, Yifei Wang, Xiaosen Li, Gang Li, Yi Wang, Bin Huang
Summary: This study investigated the synergistic blockage mechanism of sand and hydrate in gravel filling layer and the evolution of permeability in the layer. Experimental models and modified permeability models were established to analyze the effects of sand particles and hydrate formation on permeability. The study provided valuable insights for the safe and efficient exploitation of hydrate reservoirs.
Article
Energy & Fuels
Hao Wang, Xiwen Chen, Natan Vital, Edward Duffy, Abolfazl Razi
Summary: This study proposes a HVAC energy optimization model based on deep reinforcement learning algorithm. It achieves 37% energy savings and ensures thermal comfort for open office buildings. The model has a low complexity, uses a few controllable factors, and has a short training time with good generalizability.
Article
Energy & Fuels
Moyue Cong, Yongzhuo Gao, Weidong Wang, Long He, Xiwang Mao, Yi Long, Wei Dong
Summary: This study introduces a multi-strategy ultra-wideband energy harvesting device that achieves high power output without the need for external power input. By utilizing asymmetry, stagger array, magnetic coupling, and nonlinearity strategies, the device maintains a stable output voltage and high power density output at non-resonant frequencies. Temperature and humidity monitoring are performed using Bluetooth sensors to adaptively assess the device.
Article
Energy & Fuels
Tianshu Dong, Xiudong Duan, Yuanyuan Huang, Danji Huang, Yingdong Luo, Ziyu Liu, Xiaomeng Ai, Jiakun Fang, Chaolong Song
Summary: Electrochemical water splitting is crucial for hydrogen production, and improving the hydrogen separation rate from the electrode is essential for enhancing water electrolyzer performance. However, issues such as air bubble adhesion to the electrode plate hinder the process. Therefore, a methodology to investigate the two-phase flow within the electrolyzer is in high demand. This study proposes using a microfluidic system as a simulator for the electrolyzer and optimizing the two-phase flow by manipulating the micro-structure of the flow.
Article
Energy & Fuels
Shuo Han, Yifan Yuan, Mengjiao He, Ziwen Zhao, Beibei Xu, Diyi Chen, Jakub Jurasz
Summary: Giving full play to the flexibility of hydropower and integrating more variable renewable energy is of great significance for accelerating the transformation of China's power energy system. This study proposes a novel day-ahead scheduling model that considers the flexibility limited by irregular vibration zones (VZs) and the probability of flexibility shortage in a hydropower-variable renewable energy hybrid generation system. The model is applied to a real hydropower station and effectively improves the flexibility supply capacity of hydropower, especially during heavy load demand in flood season.
Article
Energy & Fuels
Zhen Wang, Kangqi Fan, Shizhong Zhao, Shuxin Wu, Xuan Zhang, Kangjia Zhai, Zhiqi Li, Hua He
Summary: This study developed a high-performance rotary energy harvester (AI-REH) inspired by archery, which efficiently accumulates and releases ultralow-frequency vibration energy. By utilizing a magnetic coupling strategy and an accumulator spring, the AI-REH achieves significantly accelerated rotor speeds and enhanced electric outputs.
Article
Energy & Fuels
Yi Yang, Qianyi Xing, Kang Wang, Caihong Li, Jianzhou Wang, Xiaojia Huang
Summary: In this study, a novel hybrid Quantile Regression (QR) model is proposed for Probabilistic Load Forecasting (PLF). The model integrates causal dilated convolution, residual connection, and Bidirectional Long Short-Term Memory (BiLSTM) for multi-scale feature extraction. In addition, a Combined Probabilistic Load Forecasting System (CPLFS) is proposed to overcome the inherent flaws of relying on a single model. Simulation results show that the hybrid QR outperforms traditional models and CPLFS exceeds the best benchmarks in terms of prediction accuracy and stability.
Article
Energy & Fuels
Wen-Jiang Zou, Young-Bae Kim, Seunghun Jung
Summary: This paper proposes a dynamic prediction model for capacity fade in vanadium redox flow batteries (VRFBs). The model accurately predicts changes in electrolyte volume and capacity fade, enhancing the competitiveness of VRFBs in energy storage applications.
Article
Energy & Fuels
Yuechao Ma, Shengtie Wang, Guangchen Liu, Guizhen Tian, Jianwei Zhang, Ruiming Liu
Summary: This paper focuses on the balance of state of charge (SOC) among multiple battery energy storage units (MBESUs) and bus voltage balance in an islanded bipolar DC microgrid. A SOC automatic balancing strategy is proposed considering the energy flow relationship and utilizing the adaptive virtual resistance algorithm. The simulation results demonstrate the effectiveness of the proposed strategy in achieving SOC balancing and decreasing bus voltage unbalance.
Article
Energy & Fuels
Raad Z. Homod, Basil Sh. Munahi, Hayder Ibrahim Mohammed, Musatafa Abbas Abbood Albadr, Aissa Abderrahmane, Jasim M. Mahdi, Mohamed Bechir Ben Hamida, Bilal Naji Alhasnawi, A. S. Albahri, Hussein Togun, Umar F. Alqsair, Zaher Mundher Yaseen
Summary: In this study, the control problem of the multiple-boiler system (MBS) is formulated as a dynamic Markov decision process and a deep clustering reinforcement learning approach is applied to obtain the optimal control policy. The proposed strategy, based on bang-bang action, shows superior response and achieves more than 32% energy saving compared to conventional fixed parameter controllers under dynamic indoor/outdoor actual conditions.