Short-term residential load forecasting via transfer learning and multi-attention fusion for EVs’ coordinated charging by Shuhua Gao, Yuanbin Liu, Jing Wang, Zhengfang Wang, Xu Wenjun, Renfeng Yue, Ruipeng Cui, Yong Liu, Xuezhong Fan

“…Accurate load forecasting plays a crucial role in the optimal scheduling of electric vehicles’ (EVs) coordinated charging. Although many load forecasting methods have emerged in recent years, these methods face two significant challenges: effectively capturing the impact of special events on load and requiring a substantial amount of historical data for model training. …”
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Physics-Based and Data-Driven Modeling of Degradation Mechanisms for Lithium-Ion Batteries—A Review by Pedro Lozano Ruiz, Nikolaos Damianakis, Gautham Ram Chandra Mouli

“…The LIB degradation curve and, most significantly, the knee-point and End-of-life (EoL) point identification are critical factors for the selection of the appropriate application, such as electric vehicles and stationary energy storage systems, due to their effect on performance and lifespan, safety, and environmental footprint. …”
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Evaluation of an in situ QAM‐based Power Line Communication system for lithium‐ion batteries by Mahyar J. Koshkouei, Erik Kampert, Andrew D. Moore, Matthew D. Higgins

“…This model is used to determine the effectiveness and optimal properties of PLC with QAM, as a means of in situ battery communication for Battery Electric Vehicles (BEVs) in combination with a real‐world dynamic drive profile. …”
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An Optimization Model for Structuring a Car-Sharing Fleet Considering Traffic Congestion Intensity by Parisa Ahani, Amilcar Arantes, Sandra Melo

“…The results show that electric vehicles (EVs) are more competitive than diesel vehicles (DVs) in high-peak traffic congestion from the outset of the planning period. …”
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Optimizing Acidic Reductive Leaching for Lithium Recovery: Enhancing Sustainable Lithium Supply for Energy Markets by Agnieszka Sobianowska-Turek, Amelia Zielińska, Weronika Urbańska, Anna Mielniczek, Agnieszka Fornalczyk, Szymon Pawlak, Tomasz Małysa, Janusz Cebulski

“…The growing demand for lithium, driven by its crucial role in energy storage technologies such as lithium-ion batteries for electric vehicles, renewable energy storage, and portable electronics, is intensifying the need for sustainable extraction methods. …”
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Mekanisme Passive Cooling Box untuk Optimalisasi Baterai Konversi Sepeda Motor BBM Menjadi Sepeda Motor Listrik by Ian Hardianto Siahaan, Danny Purnama, Ninuk Jonoadji

“…Lead-acid and lithium-ion batteries are the two most common types of batteries found in electric vehicles. Electric motorcycle batteries typically range from 32 to 72 volts, depending on engine requirements, and have a storage capacity of 20 to 50 Ah. …”
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A Double Resistive–Capacitive Approach for the Analysis of a Hybrid Battery–Ultracapacitor Integration Study by Adrian Chmielewski, Piotr Piórkowski, Krzysztof Bogdziński, Paweł Krawczyk, Jakub Lorencki, Artur Kopczyński, Jakub Możaryn, Ramon Costa-Castelló, Stepan Ozana

“…A hybrid energy storage system (HESS), combining batteries with ultracapacitors, may be a feasible way to improve the efficiency of electric vehicles and renewable energy applications. However, most existing research requires comprehensive modelling of HESS components under different operating conditions, hindering optimisation and real-world application. …”
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Research on the Fast Charging Strategy of Power Lithium-Ion Batteries Based on the High Environmental Temperature in Southeast Asia by Qin Zhang, Yuyang Yu

“…To address the problem of excessive charging time for electric vehicles (EVs) in the high ambient temperature regions of Southeast Asia, this article proposes a rapid charging strategy based on battery state of charge (SOC) and temperature adjustment. …”
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Electrochemical Impedance Spectroscopy-Based Characterization and Modeling of Lithium-Ion Batteries Based on Frequency Selection by Yuechan Xiao, Xinrong Huang, Jinhao Meng, Yipu Zhang, Vaclav Knap, Daniel-Ioan Stroe

“…Lithium-ion batteries are commonly employed in electric vehicles due to their efficient energy storage and conversion capabilities. …”
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Evaluation of auditory alerting systems for safe electric scooter operations by Tim Walton, Antonio J. Torija, Richard J. Hughes, Andy S. Elliott

“…Concerns have been raised regarding the safety of such vehicles, most notably related to pedestrian safety of blind and partially sighted individuals, due to the inherently lower sound levels produced by electric vehicles. This study addresses this issue by investigating the use of an Acoustic Vehicle Alerting System (AVAS) for electric scooters by means of a virtual reality experiment and field trials. …”
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Distributed Energy Management of the Hybrid AC/DC Microgrid with High Penetration of Distributed Energy Resources Based on ADMM by Yaling Chen, Luxi Hao, Gaowen Yin

“…This paper aims to investigate energy management of the hybrid AC/DC microgrid with the high penetration of distributed energy resources (DERs), such as electrical vehicles, heat pumps, and photovoltaics. In the previous studies, energy management of the hybrid microgrid is usually carried out by the system operator in a centralized manner, which suffers from the compromise of privacy information protection and the risk of single-point failure. …”
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One-Shot Segmentation of Battery Cells with Gradual Learning by Johann Christopher Engster, Nele Blum, Laura Hellwege, Thorsten M. Buzug, Maik Stille

“… Due to the growing importance of electric vehicles and battery energy storage systems, battery safety must be ensured during and after production. …”
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Vibration Isolation for Parallel Hydraulic Hybrid Vehicles by The M. Nguyen, Mohammad H. Elahinia

“…In recent decades, several types of hybrid vehicles have been developed in order to improve the fuel economy and to reduce the pollution. Hybrid electric vehicles (HEV) have shown a significant improvement in fuel efficiency for small and medium-sized passenger vehicles and SUVs. …”
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Optimizing intelligent residential scheduling based on policy black box and adaptive clustering federated deep reinforcement learning by Wei Zhang, Yiyang Li

“…In the context of user-side demand response, flexible resources in buildings such as air conditioners and electric vehicles are characterized by small individual capacities, large aggregate scales, and geographically dispersed distributions, necessitating integration by intelligence buildings (IRs). …”
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Analysing the global workforce dynamics of the energy transition: main findings from the World Energy Employment report 2023 by M. Armiento, M. Lelli, C. Andrews, B. Idini, R. Ruff

“…Data collected and estimated with deep granularity across the entire value chain shows that increasing investments in the power sector, electric vehicles and other clean technologies are fuelling workforce growth in the energy sector: nearly 67 million people were employed in the energy sector worldwide in 2022, an increase of 3.4 million jobs compared to 2019. …”
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A Novel on Energy Management Strategy with Maximum Exploitation of Renewables and EV Storage in Distribution Networks by K. Ramakrishna Reddy, C. H. Hussaian Basha, V. Prashanth, C. Dhanamjayulu, Sujata Shivashimpiger, R. Likhitha

“…Electric vehicles (EVs) are widely recognized for their environmentally friendly attributes and superior performance. …”
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A Hybrid Prognostic Approach for Remaining Useful Life Prediction of Lithium-Ion Batteries by Wen-An Yang, Maohua Xiao, Wei Zhou, Yu Guo, Wenhe Liao

“…Lithium-ion battery is a core component of many systems such as satellite, spacecraft, and electric vehicles and its failure can lead to reduced capability, downtime, and even catastrophic breakdowns. …”
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Policy options for low-carbon sustainable transport systems in Kathmandu Valley, Nepal: A survey-based study by Jyoti Prajapati, Maheswar Rupakheti, Mark G. Lawrence

“…., integrating transport systems, vehicle inspection and maintenance, tax rebates, promoting electric vehicles and public buses) as the most preferred policies and of the highest importance. …”
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Reducing Carbon Dioxide Emissions from Electricity Sector Using Smart Electric Grid Applications by Lamiaa Abdallah, Tarek El-Shennawy

“…Smart consumption will depend on the use of more efficient equipment like energy-saving lighting lamps, enabling smart homes and hybrid plug-in electric vehicles technologies. A special interest is given to the Egyptian case study. …”
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Prioritization of Negative Carbon Strategies in the Cargo Industry with the SWARA/WASPAS Method by Onur Derse, Emel Yontar

“…Strategies are asked to be prioritized for the implementation of 16 determined strategies within the cargo sector, and “Using electric vehicles” ranked first in both methods. “Use of carbon capture, exploitation and storage technologies”, “Balancing greenhouse gas emissions”, “Existence of carbon tax to reduce carbon emissions” strategies have also been identified as other top priority strategies. …”
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