TY - CHAP A1 - Rodrigues, Luiz Fernando Alves A1 - Monteiro, Henrique Luis Moreira A1 - Rufino Júnior, Carlos Antônio A1 - Ferreira, Danton A1 - Duque, Carlos ED - de Andrade, Alexandre Acácio ED - de Sales Guerra Tsuzuki, Marcos ED - de Oliveira Pessoa, Marcosiris Amorim T1 - Classificação de Distúrbios de Qualidade da Energia Elétrica em Tempo Real T2 - 2023 15th IEEE International Conference on Industry Applications INDUSCON 2023, Proceedings UR - https://doi.org/10.1109/INDUSCON58041.2023.10374960 Y1 - 2024 UR - https://doi.org/10.1109/INDUSCON58041.2023.10374960 SN - 979-8-3503-1418-2 SP - 1039 EP - 1044 PB - IEEE CY - Piscataway ER - TY - JOUR A1 - Rodrigues, Luiz Fernando Alves A1 - Monteiro, Henrique L.M. A1 - Ferreira, Danton A1 - Barbosa, Bruno H. G. A1 - Rufino Júnior, Carlos Antônio A1 - Duque, Carlos T1 - Sample-by-sample Power Quality Disturbance classification based on Sliding Window Recursive Discrete Fourier Transform JF - Electric Power Systems Research UR - https://doi.org/10.1016/j.epsr.2024.110607 Y1 - 2024 UR - https://doi.org/10.1016/j.epsr.2024.110607 SN - 1873-2046 VL - 2024 IS - 235 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Rufino Júnior, Carlos Antônio A1 - Lima, Marcelo Antônio Alves A1 - Mendes, Thais Martins A1 - Monteiro, Henrique Luis Moreira A1 - Ferreira, Danton T1 - Adaptive Filter Bank Based on Independent Component Analysis for Harmonic, Inter-Harmonic and Sub-Harmonic Extraction JF - Circuits, Systems, and Signal Processing UR - https://doi.org/10.1007/s00034-022-02114-3 Y1 - 2022 UR - https://doi.org/10.1007/s00034-022-02114-3 SN - 1531-5878 VL - 41 IS - 12 SP - 7077 EP - 7100 PB - Birkhäuser CY - Basel ER - TY - JOUR A1 - Rufino Júnior, Carlos Antônio A1 - Riva Sanseverino, Eleonora A1 - Gallo, Pierluigi A1 - Koch, Daniel A1 - Diel, Sergej A1 - Walter, Gero A1 - Trilla, Lluís A1 - Ferreira, Victor José A1 - Benveniste, Gabriela A1 - Kotak, Yash A1 - Eichman, Joshua A1 - Schweiger, Hans-Georg A1 - Zanin, Hudson T1 - Towards to Battery Digital Passport: Reviewing Regulations and Standards for Second-Life Batteries JF - Batteries N2 - Greenhouse gas emissions from transportation harm the environment. In response to these environmental concerns, numerous countries encourage the adoption of electric vehicles (EVs) as a more environmentally friendly option than traditional gasoline-powered vehicles. Advances in battery technology have made batteries an alternative solution for energy storage in stationary applications and for electric mobility. Reduced lithium-ion batteries (LIBs) production costs due to economies of scale, electrode material and cell design developments, and manufacturing process improvements have driven this success. This trend is expected to increase the number of LIBs on the market that may be discarded in the environment at the end of their useful life if more sustainable alternatives are not technologically mature. This coming environmental concern can be mitigated by collecting wasted EV batteries, reconfiguring them, and reusing them for applications with less stringent weight, performance, and size requirements. This method would extend battery life and reduce environmental effects. The present work investigates the main regulatory structures of the second-life battery industry that require rules, technical standards, and laws. To achieve this objective, a systematic review was carried out following a strict protocol that includes identifying relevant studies, extracting data and information, evaluating, and summarizing information. This paper explains the primary rules and technical standards governing the second-life battery business. The findings highlight the need for universities, research institutions, and government agencies to evaluate the second-life battery industry objectively. This would enable the creation of new technological regulations and laws for this burgeoning industry. UR - https://doi.org/10.3390/batteries10040115 Y1 - 2024 UR - https://doi.org/10.3390/batteries10040115 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-46455 SN - 2313-0105 VL - 10 IS - 4 PB - MDPI CY - Basel ER - TY - INPR A1 - Rufino Júnior, Carlos Antônio A1 - Riva Sanseverino, Eleonora A1 - Gallo, Pierluigi A1 - Amaral, Murilo Machado A1 - Koch, Daniel A1 - Kotak, Yash A1 - Diel, Sergej A1 - Walter, Gero A1 - Schweiger, Hans-Georg A1 - Zanin, Hudson T1 - A Comprehensive Review of EV Lithium-Ion Battery Degradation N2 - Lithium-ion batteries with improved energy densities have made understanding the Solid Electrolyte Interphase (SEI) generation mechanisms that cause mechanical, thermal, and chemical failures more complicated. SEI processes reduce battery capacity and power. Thus, a review of this area's understanding is important. It is essential to know how batteries degrade in EVs to estimate battery lifespan as it goes, predict, and minimize losses, and determine the ideal time for a replacement. Lithium-ion batteries used in EVs mainly suffer two types of degradation: calendar degradation and cycling degradation. Despite the existence of several existing works in the literature, several aspects of battery degradation remain unclear or have not been analyzed in detail. This work presents a systematic review of existing works in the literature. The results of the present investigation provide insight into the complex relationships among various factors affecting battery degradation mechanisms. Specifically, this systematic review examined the effects of time, side reactions, temperature fluctuations, high charge/discharge rates, depth of discharge, mechanical stress, thermal stress, and the voltage relationship on battery performance and longevity. The results revealed that these factors interact in complex ways to influence the degradation mechanisms of batteries. For example, high charge currents and deep discharges were found to accelerate degradation, while low temperatures and moderate discharge depths were shown to be beneficial for battery longevity. Additionally, the results showed that the relationship between cell voltage and State-of-Charge (SOC) plays a critical role in determining the rate of degradation. Overall, these findings have important implications for the design and operation of battery systems, as they highlight the need to carefully manage a range of factors to maximize battery performance and longevity. The result is an analysis of the main articles published in this field in recent years. This work aims to present new knowledge about fault detection, diagnosis, and management of lithium-ion batteries based on battery degradation concepts. The new knowledge is presented and discussed in a structured and comprehensive way. UR - https://doi.org/10.20944/preprints202306.0228.v2 Y1 - 2023 UR - https://doi.org/10.20944/preprints202306.0228.v2 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-58428 PB - Preprints CY - Basel ER - TY - JOUR A1 - Hußenether, Thomas A1 - Rufino Júnior, Carlos Antônio A1 - Selaibe Pires, Tomás A1 - Mishra, Tarani A1 - Nahar, Jinesh A1 - Vaghani, Akash A1 - Polzer, Richard A1 - Diel, Sergej A1 - Schweiger, Hans-Georg T1 - Analysis of the Measurement Uncertainties in the Characterization Tests of Lithium-Ion Cells JF - Energies N2 - The transition to renewable energy systems and electric mobility depends on the effectiveness, reliability, and durability of lithium-ion battery technology. Accurate modeling and control of battery systems are essential to ensure safety, efficiency, and cost-effectiveness in electric vehicles and grid storage. In engineering and materials science, battery models depend on physical parameters such as capacity, energy, state of charge (SOC), internal resistance, power, and self-discharge rate. These parameters are affected by measurement uncertainty. Despite the widespread use of lithium-ion cells, few studies quantify how measurement uncertainty propagates to derived battery parameters and affects predictive modeling. This study quantifies how uncertainty in voltage, current, and temperature measurements reduces the accuracy of derived parameters used for simulation and control. This work presents a comprehensive uncertainty analysis of 18650 format lithium-ion cells with nickel cobalt aluminum oxide (NCA), nickel manganese cobalt oxide (NMC), and lithium iron phosphate (LFP) cathodes. It applies the law of error propagation to quantify uncertainty in key battery parameters. The main result shows that small variations in voltage, current, and temperature measurements can produce measurable deviations in internal resistance and SOC. These findings challenge the common assumption that such uncertainties are negligible in practice. The results also highlight a risk for battery management systems that rely on these parameters for control and diagnostics. The results show that propagated uncertainty depends on chemistry because of differences in voltage profiles, kinetic limitations, and temperature sensitivity. This observation informs cell selection and testing for specific applications. Improved quantification and control of measurement uncertainty can improve model calibration and reduce lifetime and cost risks in battery systems. These results support more robust diagnostic strategies and more defensible warranty thresholds. This study shows that battery testing and modeling should report and propagate measurement uncertainty explicitly. This is important for data-driven and physics-informed models used in industry and research. UR - https://doi.org/10.3390/en19030825 Y1 - 2026 UR - https://doi.org/10.3390/en19030825 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-66630 SN - 1996-1073 VL - 19 IS - 3 PB - MDPI CY - Basel ER - TY - JOUR A1 - Venâncio, Raissa A1 - Pinzón C., Manuel J. A1 - Aguiar dos Santos, João Pedro A1 - Galantini, Isabela A1 - Cruz, Hugo A1 - Rufino Júnior, Carlos Antônio A1 - Doubek, Gustavo A1 - Branco, Luís A1 - Franco, Débora V. A1 - Da Silva, Leonardo M. A1 - Gonçalves, Josué A1 - Zanin, Hudson T1 - Tailoring electrolyte solvation for improved Na-based supercapacitor efficiency: an operando characterization approach JF - Journal of Materials Chemistry A UR - https://doi.org/10.1039/D5TA07938A Y1 - 2025 UR - https://doi.org/10.1039/D5TA07938A SN - 2050-7488 SN - 2050-7496 VL - 14 IS - 10 SP - 5786 EP - 5805 PB - RSC CY - Cambridge ER - TY - JOUR A1 - Rufino Júnior, Carlos Antônio A1 - Riva Sanseverino, Eleonora A1 - Gallo, Pierluigi A1 - Koch, Daniel A1 - Schweiger, Hans-Georg A1 - Zanin, Hudson T1 - Blockchain review for battery supply chain monitoring and battery trading JF - Renewable and Sustainable Energy Reviews UR - https://doi.org/10.1016/j.rser.2022.112078 KW - Second use KW - Reuse KW - Lithium-ion batteries KW - Second-life batteries KW - Blockchain KW - Electric vehicles KW - Supply chain Y1 - 2022 UR - https://doi.org/10.1016/j.rser.2022.112078 SN - 1879-0690 N1 - Corrigendum verfügbar unter https://doi.org/10.1016/j.rser.2023.113844 VL - 2022 IS - 157 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Rufino Júnior, Carlos Antônio A1 - Riva Sanseverino, Eleonora A1 - Gallo, Pierluigi A1 - Amaral, Murilo Machado A1 - Koch, Daniel A1 - Kotak, Yash A1 - Diel, Sergej A1 - Walter, Gero A1 - Schweiger, Hans-Georg A1 - Zanin, Hudson T1 - Unraveling the Degradation Mechanisms of Lithium-Ion Batteries JF - Energies N2 - Lithium-Ion Batteries (LIBs) usually present several degradation processes, which include their complex Solid-Electrolyte Interphase (SEI) formation process, which can result in mechanical, thermal, and chemical failures. The SEI layer is a protective layer that forms on the anode surface. The SEI layer allows the movement of lithium ions while blocking electrons, which is necessary to prevent short circuits in the battery and ensure safe operation. However, the SEI formation mechanisms reduce battery capacity and power as they consume electrolyte species, resulting in irreversible material loss. Furthermore, it is important to understand the degradation reactions of the LIBs used in Electric Vehicles (EVs), aiming to establish the battery lifespan, predict and minimise material losses, and establish an adequate time for replacement. Moreover, LIBs applied in EVs suffer from two main categories of degradation, which are, specifically, calendar degradation and cycling degradation. There are several studies about battery degradation available in the literature, including different degradation phenomena, but the degradation mechanisms of large-format LIBs have rarely been investigated. Therefore, this review aims to present a systematic review of the existing literature about LIB degradation, providing insight into the complex parameters that affect battery degradation mechanisms. Furthermore, this review has investigated the influence of time, C-rate, depth of discharge, working voltage window, thermal and mechanical stresses, and side reactions in the degradation of LIBs. UR - https://doi.org/10.3390/en17143372 Y1 - 2024 UR - https://doi.org/10.3390/en17143372 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-49089 SN - 1996-1073 VL - 17 IS - 14 PB - MDPI CY - Basel ER - TY - JOUR A1 - Santos, Cassiano A1 - Neto, Milad Kalume A1 - Kanieski, João Marcos A1 - Rufino Júnior, Carlos Antônio A1 - Schweiger, Hans-Georg A1 - Zanin, Hudson T1 - A multidimensional assessment of electrification in automotive powertrains: Technical, operational, and strategic perspectives JF - Results in Engineering N2 - Global transportation is undergoing a profound transformation, driven by the convergence of decarbonization targets and advances in electrification technologies. Electrification, ranging from mild Hybrid Electric Vehicles (mHEVs) to Battery Electric Vehicles (BEVs), represents the main technological path in the transition from internal combustion engines. This transition is inherently multidimensional, simultaneously reshaping vehicle design, manufacturing systems, supply chains, customer value, and environmental outcomes in interconnected ways. Each architecture, including mHEV, Hybrid Electric Vehicle (HEV), Plug-in Hybrid Electric Vehicle (PHEV), and BEV, presents different tradeoffs in these dimensions, requiring a structured framework for systematic comparison. To address this gap, this work details an integrated framework that systematically compares electrification pathways across five interrelated dimensions: vehicle concepts, research and development, manufacturing and logistics, customer experience, and environmental footprint. This framework culminates in a decision matrix that consolidates trade-offs into a practical SWOT based tool for strategic planning. UR - https://doi.org/10.1016/j.rineng.2025.107377 Y1 - 2025 UR - https://doi.org/10.1016/j.rineng.2025.107377 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-63829 SN - 2590-1230 VL - 2025 IS - 28 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Walter, Gero A1 - Diel, Sergej A1 - Rufino Júnior, Carlos Antônio A1 - Schweiger, Hans-Georg A1 - Valente de Bessa, Iury A1 - Mallmann, Maíra A1 - Kirsten Vidal de Oliveira, Aline A1 - Odilio Dos Santos, Daniel A1 - Rüther, Ricardo T1 - Operating Behavior of a Photovoltaic-driven Electrolysis System JF - Revista Brasileira de Energia Solar UR - https://doi.org/10.59627/rbens.2024v15i1.456 Y1 - 2024 UR - https://doi.org/10.59627/rbens.2024v15i1.456 SN - 2526-2831 VL - 15 IS - 1 SP - 82 EP - 92 PB - ABENS CY - São Paulo ER - TY - JOUR A1 - Rufino Júnior, Carlos Antônio A1 - Riva Sanseverino, Eleonora A1 - Gallo, Pierluigi A1 - Koch, Daniel A1 - Kotak, Yash A1 - Schweiger, Hans-Georg A1 - Zanin, Hudson T1 - Towards a business model for second-life batteries – barriers, opportunities, uncertainties, and technologies JF - Journal of Energy Chemistry UR - https://doi.org/10.1016/j.jechem.2022.12.019 KW - Business models KW - Batteries KW - Sustainability KW - Electric vehicles KW - Challenges KW - Opportunities KW - Lithium-ion batteries KW - Reuse Y1 - 2023 UR - https://doi.org/10.1016/j.jechem.2022.12.019 SN - 2096-885X SN - 2095-4956 N1 - Corrigendum verfügbar unter https://doi.org/10.1016/j.jechem.2023.11.010 VL - 2023 IS - 78 SP - 507 EP - 525 PB - Elsevier CY - Amsterdam ER -