Review
Energy & Fuels
Swapnil R. Revankar, Vaiju N. Kalkhambkar
Summary: Battery Swapping Station (BSS) offers an alternative way to charge Electric Vehicles (EVs), serving as grid scale energy storage with significant potential. It has a broad review of its relation with EVs and power grid, discussing various operations, research on grid integrated BSS, optimization strategies, case studies, as well as challenges and trends. BSS shows promise for the widespread adoption of EVs.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Engineering, Civil
Ashruti Upadhyaya, Chitralekha Mahanta
Summary: This paper provides a comprehensive review of battery-based electric vehicle technologies based on energy sources, hybrid energy storage system topologies, and energy management systems. It focuses on the combination of battery and supercapacitor to improve the performance and dynamic power regulation of electric vehicles.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Thermodynamics
Xiao Xu, Weihao Hu, Wen Liu, Yuefang Du, Rui Huang, Qi Huang, Zhe Chen
Summary: This study introduces a novel and cost-effective power supply system for commercial buildings, along with an energy management strategy and models for two types of electric vehicles. Results show that integrating photovoltaic (PV) energy and retired electric vehicle batteries (REVBs) can significantly reduce operational costs for commercial buildings.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Energy & Fuels
Zhicheng Xu, Chuang Zhang, Bo Sun, SuZhen Liu
Summary: The widespread deployment of electric vehicles not only relates to the electrification reform of the transport sector, but also plays a crucial role in the low-carbon transformation for urban energy systems. The performance, cost, and safety of electric vehicles are heavily influenced by the lithium-ion battery, which serves as the main energy supply. Strengthening the energy management of the lithium-ion battery system is essential to ensure its efficiency and safety. This study utilizes a prototype simulation system to estimate and predict the electrical and thermal properties of multi-level batteries and accurately assess the battery state, showing its capability in guaranteeing the safe and stable operation of the lithium-ion battery system.
JOURNAL OF ENERGY STORAGE
(2023)
Review
Green & Sustainable Science & Technology
Nur Ayeesha Qisteena Muzir, Md Rayid Hasan Mojumder, Md Hasanuzzaman, Jeyraj Selvaraj
Summary: The article thoroughly reviews the challenges of promoting electric vehicles in Malaysia and proposes potential solutions and suggestions. This review can serve as a valuable reference for policymakers in formulating strategic policies to achieve sustainable electric vehicle transportation goals.
Article
Energy & Fuels
Marcos Tostado-Veliz, Hany M. Hasanien, Rania A. Turky, Ahmad Rezaee Jordehi, Seyed Amir Mansouri, Francisco Jurado
Summary: On-board batteries from electric vehicles can be used as an auxiliary source of energy in domestic installations. Home Energy Management systems are crucial in future smart grids to efficiently use energy in residential applications. However, managing uncertainties caused by intermittent renewable generation, uncertain prices, and behaviors of electric vehicles requires further research. This paper proposes a fully robust Home Energy Management model that accounts for all uncertainties and validates its effectiveness through a case study.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Thermodynamics
Shuangqi Li, Pengfei Zhao, Chenghong Gu, Da Huo, Xianwu Zeng, Xiaoze Pei, Shuang Cheng, Jianwei Li
Summary: With the popularization of electric vehicles, vehicle-to-grid (V2G) technology has become essential for improving grid economy and reliability. This paper proposes an online battery anti-aging V2G scheduling method that mitigates battery aging while providing V2G services through parameter calibration. The method is verified on a practical UK distribution network and shows effectiveness in reducing battery aging while maintaining real-time performance.
Article
Thermodynamics
Bin Xu, Junzhe Shi, Sixu Li, Huayi Li, Zhe Wang
Summary: The study proposes a Q-learning-based strategy to reduce battery degradation and energy consumption in battery/ultracapacitor electric vehicles. Compared with a baseline vehicle without ultracapacitor, the Q-learning strategy is shown to slow down battery degradation by 13-20% and increase vehicle range by 1.5-2% during learning and validation driving cycles.
Article
Energy & Fuels
Zhanwei He, Javad Khazaei, James D. Freihaut
Summary: The emergence of vehicle-to-building (V2B) technology allows electricity to be exported from electric vehicle (EV) batteries to buildings, aiding in meeting building energy demands. The optimal number of EVs interacting with a building depends on factors such as EV driving patterns, seasonal solar output, building demand profiles, and grid electricity prices. These factors impact the daily electricity bills, V2B capacity, charging loads, and stationary battery energy storage system (BESS) capacity. Simulation results show that the optimal number of EVs varies across seasons and solar irradiance scenarios, suggesting the importance of day-ahead solar energy forecasting for planning EV integration.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2022)
Article
Energy & Fuels
Bin Xu, Quan Zhou, Junzhe Shi, Sixu Li
Summary: Reinforcement learning has been applied in optimizing the supervisory control system of an electric vehicle, considering two design targets, energy efficiency and battery life, with the proposed hierarchical Q-learning network showing superior performance compared to baseline methods.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Engineering, Electrical & Electronic
Erdem Guemruekcue, Jonatan Ralf Axel Klemets, Jon Are Suul, Ferdinanda Ponci, Antonello Monti
Summary: This study introduces a decentralized management concept for urban charging hubs, where electric vehicles can access multiple charger clusters controlled by aggregators. The provided day ahead schedules and peak power limits of the aggregators can restrict energy supply. A suitable energy management concept is required to mitigate the impact on EV users. In the proposed approach, an electromobility operator allocates incoming EVs into charger clusters using a smart routing algorithm that optimizes cluster allocations and charging schedules. Real-time charging control is achieved through an optimization problem solved by each aggregator. The results demonstrate the effectiveness of the proposed concept in reducing deviations from schedules and violations of power limits, while decreasing unfulfilled charging demand and unscheduled discharge from EV batteries.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2023)
Article
Engineering, Electrical & Electronic
Shuangqi Li, Pengfei Zhao, Chenghong Gu, Da Huo, Jianwei Li, Shuang Cheng
Summary: This paper proposes a two-stage aging quantification and health-aware energy management method for reducing vehicle battery aging costs in battery energy storage systems (BESS) used in vehicle-to-grid (V2G) and plug-in hybrid electric vehicles (PHEVs). The first stage establishes a battery aging state calibration model, while the second stage develops a neural hybrid optimization-based energy management method. Case studies demonstrate the effectiveness of the developed method in reducing battery aging costs and improving vehicle total economy.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2023)
Article
Energy & Fuels
Akif Demircali, Selim Koroglu
Summary: This study proposes a Jaya-based modular energy management system to optimize power sharing between the battery and ultracapacitor in electric vehicles. Experimental results show that compared to the rule-based method, this approach significantly reduces total loss and battery current.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Yan Wu, Syed Mahfuzul Aziz, Mohammed H. Haque
Summary: This research proposes a novel household energy cost optimisation method by incorporating more realistic variable EV charging characteristics, power export limits, degradation of battery energy storage, and battery salvage revenue. It shows that PV with BES and EV is the most economical configuration for individual households.
Article
Green & Sustainable Science & Technology
Md Junaed Al Hossain, Md. Zakir Hasan, Md Hasanuzzaman, Md. Ziaur Rahman Khan, Mohammad Ahsan Habib
Summary: With the increase in urbanization and population growth, there is a growing demand for public transportation, but fossil fuel-based vehicles are causing negative environmental impacts. Electric three-wheeler (E3W) vehicles have great potential in Bangladesh due to their pollution-free and passenger-friendly services. However, there are challenges regarding vehicle stability, regulations, energy supply, and battery disposal. This paper discusses the prospects and challenges of E3Ws in Bangladesh and suggests potential solutions for sustainable transport.
Article
Thermodynamics
Hugo Daniel, Carlos Henggeler Antunes, Joao Pedro F. Trovao, David Williams
Summary: The maritime industry accounts for nearly 3% of global greenhouse gas emissions, and this number is expected to rise due to market expansion. To expedite the reduction of carbon dioxide emissions, implementing technologically mature operational measures like shore power is crucial. However, the high capital expenditure is currently hindering the widespread adoption of shore power projects.
ENERGY CONVERSION AND MANAGEMENT
(2023)
Article
Energy & Fuels
Alvaro Macias Fernandez, Mohsen Kandidayeni, Loic Boulon, Joao P. Trovao
Summary: This article proposes a sensitivity analysis methodology to understand the impact of price fluctuation on the component size and EMS of an FCHEV. Experimental results indicate that with the appropriate size, EMS can result in a 6% decrease in the trip cost.
IEEE TRANSACTIONS ON ENERGY CONVERSION
(2023)
Article
Engineering, Electrical & Electronic
Vahid Rasouli, Alvaro Gomes, Carlos Henggeler Antunes
Summary: This paper proposes an optimization model to characterize the aggregated flexibility responsiveness of residential end-users. It aims to support the aggregator in defining bids and making decisions in reserve services markets. The model considers the modeling and optimization of demand-side energy resources for different end-users, taking into account time-differentiated prices and rewards. The effectiveness of the proposed methodology is evaluated by calculating the flexibility of each end-user and aggregating them at the aggregator level.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2023)
Article
Social Issues
Paula Ferreira, Ana Rocha, Madalena Araujo, Joao L. Afonso, Carlos Henggeler Antunes, Marta A. R. Lopes, Gerardo J. Osorio, Joao P. S. Catalao, Joao Pecas Lopes
Summary: This paper analyzes the potential societal impacts of research projects with low technology readiness level, using the case of the ESGRIDS project as an example. The study highlights the influence of individual perceptions and organizational contexts on future developments. The analysis is translated into a technology roadmap, which outlines the time dimension for technology maturity evolution and implementation impacts.
TECHNOLOGY IN SOCIETY
(2023)
Article
Energy & Fuels
Andre M. Silva, Carlos Henggeler Antunes, Andre M. S. Mendes, Fernando J. T. E. Ferreira
Summary: This article proposes a generalized reluctance network framework for analysis and non-parametric design optimization of rotating, radial-flux, electric machines. The method introduces novel element geometry and an airgap permeance function to support automatic and systematic machine meshing without geometric parameter knowledge. The proposed method is validated on synchronous and asynchronous three-phase motor technologies, showing satisfactory accuracy and computational speed for design optimization purposes.
IEEE TRANSACTIONS ON ENERGY CONVERSION
(2023)
Article
Engineering, Electrical & Electronic
Joao P. Trovao
Summary: Automotive electronic systems refer to the electronic components and software systems used in modern vehicles to provide safety, comfort, entertainment, and other features. These systems have become increasingly complex over time as technology advances, and they are crucial for the overall operation of the vehicle.
IEEE VEHICULAR TECHNOLOGY MAGAZINE
(2023)
Article
Engineering, Electrical & Electronic
Joao P. Trovao
Summary: After two virtual conferences in 2019 and 2020, the IEEE Vehicle Power and Propulsion Conference (VPPC) was held in Merced, California, USA, organized by the University of California, Merced. With a focus on hybrid and electric vehicle development, the conference featured keynote speeches, tutorial lectures, and the presentation of 143 papers. The event provided a platform for researchers, educators, and engineers to share the latest advancements in EV and hybrid vehicle technologies.
IEEE VEHICULAR TECHNOLOGY MAGAZINE
(2023)
Review
Green & Sustainable Science & Technology
Ana L. Reis, Marta A. R. Lopes, A. Andrade-Campos, Carlos Henggeler Antunes
Summary: Water supply systems rely on water storage tanks and pumping systems to deliver water to consumers, and they face challenges such as increasing water demand, aging infrastructure, and rising energy prices. The energy transition offers opportunities for water utilities to reduce energy and costs by participating in demand response mechanisms, adopting energy efficiency measures, and utilizing renewable energy sources. However, there is a lack of a systematic review of operational control strategies in the literature. This study aims to fill this gap by analyzing existing literature and providing a comprehensive review and systematization of control strategies for efficient water supply systems.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2023)
Article
Green & Sustainable Science & Technology
Isabel Climaco, Carlos Henggeler Antunes
Summary: This study presents a multi-criterion approach to evaluating countries' performance in promoting electric vehicles through fiscal and non-fiscal policies. The ELECTRE TRI method is used to classify countries into different categories based on the degree of policy fulfillment. The model considers various fiscal and non-fiscal policies, including tax benefits, consumer incentives, and charging infrastructure, to define a comprehensive set of evaluation criteria. The use of ELECTRE TRI allows for robust conclusions by comparing results obtained with different preference expression parameters. Illustrative results are provided to assess each country's performance in this area.
Article
Computer Science, Interdisciplinary Applications
Ines Soares, Maria Joao Alves, Carlos Henggeler Antunes
Summary: In this study, the optimal time-of-use prices for electricity retail market are determined to maximize profits by buying energy in organized markets and selling it to consumers. The consumer's demand response actions are taken into account to minimize electricity bills. A bilevel mixed-integer nonlinear programming model is formulated with the retailer as the leader and the consumer as the follower. Two algorithms, including a deterministic bounding algorithm and a hybrid meta-heuristic, are proposed to address the problem. The results show that the algorithm with the approximate linearization technique leads to the best solutions.
COMPUTERS & OPERATIONS RESEARCH
(2023)
Review
Energy & Fuels
Marouane Adnane, Ahmed Khoumsi, Joao Pedro F. Trovao
Summary: Electric vehicles are not fully utilized due to their low range and high costs of battery manufacturing and maintenance. Machine learning is being used to efficiently manage energy consumption and develop intelligent electric vehicles that minimize electricity usage. Our comprehensive survey of scientific papers in this field identifies current trends and future perspectives, motivated by the success of machine learning in various domains and its underutilization in managing energy consumption of electric vehicles.
Article
Engineering, Electrical & Electronic
Thang Van Do, Mohsen Kandidayeni, Joao Pedro F. Trovao, Loic Boulon
Summary: This article proposes a new high-performance active switched quasi-ZSI (HP-AS-qZSI) topology for fuel cell hybrid electric vehicles (HEVs), which improves the energy storage system through replacing passive components and enhancing the controller.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2023)
Article
Engineering, Electrical & Electronic
Binh-Minh Nguyen, Joao Pedro F. Trovao, Minh C. Ta
Summary: This paper presents a double-layer energy management system (EMS) for electric vehicles with multiple permanent magnet synchronous motors. The system aims to minimize energy consumption and ensure safe longitudinal motion. The inner-layer distributes torque and flux currents by minimizing motor input power, while the outer-layer generates the total torque command by controlling motor speed. Various tests and comparisons with other EMSs demonstrate the advantages of the double-layer EMS, including preventing wheel slip and reducing energy consumption.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Green & Sustainable Science & Technology
Jade Muller-Carneiro, Carla Rodrigues, Luis C. Dias, Carlos Henggeler Antunes, Adriano L. A. Mattos, Fausto Freire
Summary: This article proposes a framework combining ex-ante life cycle assessment (LCA) with multi-criteria decision analysis (MCDA) for the evaluation of novel bio-based materials. The framework is applied to starch films for food packaging and compares them with commercial polymers based on cost, environmental, and technical criteria. The results show that the commercial polymers outperform the novel films in terms of technical performance, but the starch films have potential for rigid applications.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Economics
Ye Yao, Huibin Du, Hongyang Zou, Peng Zhou, Carlos Henggeler Antunes, Anne Neumann, Sonia Yeh
Summary: This paper provides a retrospective overview of the journal Energy Policy during the period 1973-2022 using bibliometric data. The results show that Energy Policy has a high annual publication volume and citation rate, covering a wide range of topics. The United States and its institutions are the major contributors to the journal.
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.
