Search Results (26)

Electric mobility has been widely discussed as a viable solution for decarbonizing the transport sector and promoting urban sustainability. However, the integration of electric mobility into urban planning still requires further in-depth research. This article aims to identify the key attributes linking electric mobility with urban planning through a Systematic Literature Review (SLR) and to provide an overview of the Brazilian context regarding policies and guidelines for electromobility. The findings indicate that the primary attributes connecting electric mobility to urban planning include the alignment of existing plans and guidelines, sectoral integration, transport infrastructure, multi-sectoral engagement, environmental sustainability, urbanism, user profiles, technologies, and governance. In Brazil, despite the existence of national guidelines, there is still a gap in updating public policies to fully integrate electromobility into urban planning. The study concludes that a stronger integration between electric mobility and urban planning policies is necessary, along with more robust incentives for the electrification of public transport. By identifying these attributes, this study provides a structured framework for policymakers and urban planners to enhance regulatory mechanisms, infrastructure planning, and governance strategies, contributing to more sustainable, resilient, and efficient urban mobility systems. Full article

The intensive development of road transport has resulted in a significant increase in air pollution. This phenomenon is particularly noticeable in urban areas. This creates the need for analyses and forecasts of the scale and extent of future emissions of harmful substances into the environment. The aim of this study was to estimate the costs of the emission of toxic components of exhaust gases generated by all users of conventionally propelled vehicles travelling on a section of urban road in the next 25 years. The traffic study was carried out on an urban traffic route, playing a key role for road transport in the dimension of a given urban agglomeration. The traffic forecast for the analysed road section was based on the results of our own measurements carried out in April 2023 and external data from the General Directorate for Roads and Motorways. The results of the observations concerned six categories of vehicles for the morning and afternoon rush hours. Based on the data obtained, the generic structure of the vehicle population on the analysed section and the average daily traffic were determined. Using the methodology contained in the Blue Book of Road Infrastructure, parameters were calculated in the form of annual indicators of traffic growth on the analysed section, travel speed, and annual air pollution costs for selected vehicle categories, remembering at the same time that the Blue Book-based methodology does not distinguish between unit costs in relation to the type of emissions. The results of the study confirmed that there was an increase in the cost of toxic emissions for each vehicle category over the projected 25-year period. The largest increases were seen for trucks with trailers and passenger cars. In total, for all vehicle categories, emission costs nearly doubled from 2024 to 2046, from EUR 3,745,229 to EUR 7,443,384, due to the doubling of the number of vehicles resulting from the traffic forecast. The analyses presented here provide an answer to the question of what pollution costs may be faced by cities in which road transport will continue to be based on conventional types of propulsion. In addition, the research presented can be used to develop urban mobility transformation plans for the coming years, within the scope of the widely promoted smart city concept and the idea of electromobility, by pointing out to local authorities the direct economic benefits of these changes. Full article

According to the European Commission, electric vehicles (EVs) remain parked for 95% of their life, which makes them inefficient. In addition, EV sales are forecasted to rise over the following years, which will create additional electricity demand, especially during peak hours. This challenge coincides with the growing trend of homeowners installing renewable energy sources (RES) in their homes. Therefore, a potential solution to managing the increase in electricity costs and peak demand is the use of EVs as a flexible storage system by utilizing vehicle-to-grid (V2G) technology. The successful market penetration of V2G technology hinges significantly on the willingness of current and future EV drivers to participate. Hence, in the broader context of the promotion and transition to electromobility and related technologies (V2G), the main purpose of this paper was to shed light on the hitherto unknown attitudes of Greek drivers towards V2G technology. The adopted methodology involved a survey questionnaire with statements serving as indicators on a 5-point Likert scale. The results show that Greek drivers highly appreciate the positive environmental impact of EVs but are primarily driven by the potential economic incentives they might receive from engaging with V2G technology. In addition, they appear to be skeptical about both V2G technology and electromobility, mainly due to the increased upfront cost of EVs but also due to the immature V2G market. Full article

This article examines a new powertrain system for electric vehicles based on the dual-star induction machine, presented as a promising option due to its significant advantages in terms of performance, energy efficiency, and reliability. This system could play a key role in the evolution of electro-mobility technology. The dual-star induction machine reduces electromagnetic torque fluctuations, limits current harmonics, improves power factor, and enables half-speed operation. Our study focuses on the control strategy and operation of the traction chain for electric vehicles propelled by the dual-star induction machine (DSIM) using Matlab software with version 2017. We integrate the battery as the main energy source, along with three-level static converters for energy conversion in the vehicle’s four operating quadrants. We have opted for sliding mode control, which has proven to be feasible and robust against external disturbances. Although we have modeled driver behavior, we consider it as an aspect of control, to which we add the driving profile to guide our evaluation of the control to be used for vehicle operation. The results of our study demonstrate the reliability and robustness of DSIM for electric vehicle motorization and speed control. Promoting this technology is essential to improve the overall performance and efficiency of electric vehicles, especially in traction and braking modes for energy recovery. This underscores the importance of DSIM in the sustainable development of the electric transportation system. Full article

When implementing smart city elements, there are challenges in cities that need to be overcome. An analysis of global public transport infrastructure has indicated an upward trend in the integration of electric mobility solutions since 2022. The following research question characterises the problem on which the research was focused. RQ: What role do the smart city strategy and its overall planning play in promoting city sustainability via elements of electromobility in public transport? Cities are increasingly committed to promoting more sustainable urban mobility. This article discusses three areas of study: electromobility in public transport, the smart city concept, and sustainability. The novelty of this article has three parts, namely the intersection of the described areas; comparison and summarisation of best practice; and in-depth analysis of the selected city. The methodological approach includes the analysis of case studies, analysis of the selected city, sociological interviews, synthesis, and modelling. One of the main findings reveals that electromobility impacts the city’s sustainability. It was also revealed that not all cities have already prepared their strategies focusing on this issue, which is unfavourable because careful planning supports the achieving sustainability in public transport. The findings were included in the design of solutions in the field of public transport infrastructure with elements of electromobility at the smart city level. Additionally, requirements for cities and recommendations for policy makers in selected areas were identified. Full article

The MMP-9-1562C/T polymorphism exerts an impact on the occurrence and progression of numerous disorders affecting the central nervous system. Using luciferase assays and Q-RT-PCR technique, we have discovered a distinct allele-specific influence of the MMP-9-1562C/T polymorphism on the MMP-9 (Extracellular Matrix Metalloproteinase-9) promoter activity and the expression of MMP-9 mRNA in human neurons derived from SH-SY5Y cells. Subsequently, by employing a pull-down assay paired with mass spectrometry analysis, EMSA (Electromobility Shift Assay), and EMSA supershift techniques, as well as DsiRNA-dependent gene silencing, we have elucidated the mechanism responsible for the allele-specific impact of the MMP-9-1562C/T polymorphism on the transcriptional regulation of the MMP-9 gene. We have discovered that the activity of the MMP-9 promoter and the expression of MMP-9 mRNA in human neurons are regulated in a manner that is specific to the MMP-9-1562C/T allele, with a stronger upregulation being attributed to the C allele. Furthermore, we have demonstrated that the allele-specific action of the MMP-9-1562C/T polymorphism on the neuronal MMP-9 expression is related to HDAC1 (Histone deacetylase 1) and ZNF384 (Zinc Finger Protein 384) transcriptional regulators. We show that HDAC1 and ZNF384 bind to the C and the T alleles differently, forming different regulatory complexes in vitro. Moreover, our data demonstrate that HDAC1 and ZNF384 downregulate MMP-9 gene promoter activity and mRNA expression in human neurons acting mostly via the T allele. Full article

To promote sustainable urban mobility and reduce environmental pollution, transportation policies worldwide aim to decrease reliance on fossil fuels. This requires reducing private car use through policy instruments such as urban vehicle access regulations (UVARs) and promoting alternative sustainable transport technologies such as electromobility. Considering that the deployment of such regulations and the market penetration of battery electric vehicles (BEVs) is still low in Hungary, this study aimed to examine the willingness of urban dwellers in Budapest, Hungary, to adopt battery electric vehicles (BEVs) upon implementation of an UVAR measure. The study analysed the BEV adoption intention of 409 urban residents who participated in an UVAR study in 2022. The results show that age is a significant factor, with individuals aged 35–44 most likely to adopt BEVs. However, other socio-demographic characteristics did not significantly affect willingness to adopt BEVs. Additionally, pro-environmental behaviour or attitude did not significantly predict BEV adoption. Based on these findings, this study highlights the importance of considering multiple interrelated factors and provides policy insights for promoting sustainable transportation technology adoption. Full article

Smart mobility supports smart city ideas and concepts. A consequences of smart mobility activities are more wide and common using electromobility. There is no doubt that electromobility is a global trend that unequivocally supports the principles of sustainable development, while being one of the basic elements of the smart mobility. The following discussion critically addresses the indicated topic, especially in the context of the barriers that currently exist and that stand in the way of implementing the expected expansion of electric cars into urban markets. Considering the following assumptions, the threat of urban pollution associated with the increasing number of vehicles (passenger and freight) should be mitigated using smart mobility solutions. In addition, solutions should include that electromobility promotes zero-emissions. Furthermore, the inadequate development of charging infrastructure and the projected energy crisis may result in plans to develop the electromobility market in cities that are under threat and impossible to meet. We highlight the current state and development level of the electric vehicle market, in particular the market for light commercial vehicles (LCVs). In this market, electric cars account for less than 1% of total cars. In truth, as shown in articles in recent years, the growth of new electric cars is significant; however, as shown by forecasts, the growth is insufficient to achieve the planned goals so the market share of LCVs will only increase to about 25% in 2030 and there will only be about 600,000 electric LCVs on the market. In this article, the authors focus on answering the question of if the upcoming energy crisis can significantly affect the further dynamic development of electromobility as an element of the smart city and undermine the plans to create zero-emission economies, with a particular focus on cities. Not only do we point to electromobility as a positive trend, but we stress that optimistic assumptions in its development in the current economic situation, especially in Europe, may be difficult to realize. The theoretical assumptions are reflected in the statistical analyses and forecasts of market development and their interpretation. Full article

This work investigated the effects of single stress and electro-thermo-mechanical coupling stress on the electrical properties of top-cooled enhancement mode (E-mode) Aluminium Gallium Nitride/Gallium Nitride (AlGaN/GaN) high electron mobility transistor (HEMT) (GS66508T). Planar pressure, linear deformation, punctate deformation, environmental temperature, electro-thermal coupling, thermo-mechanical coupling, and electro-thermo-mechanical coupling stresses were applied to the device. It was found that different kinds of stress had different influence mechanisms on the device. Namely, excessive mechanical pressure/deformation stress caused serious, irrecoverable degradation of the device’s leakage current, with the gate leakage current (I_g) increasing by ~10⁷ times and the drain-to-source leakage current (I_dss) increasing by ~10⁶ times after mechanical punctate deformation of 0.5 mm. The device characteristics were not restored after the mechanical stress was removed. Compared with three mechanical stresses, environmental thermal stress had a greater influence on the device’s transfer characteristic and on-resistance (R_on) but far less influence on I_g and I_dss. As was expected, multiple stress coupled to the device promoted invalidation of the device. For more in-depth investigation, finite element simulation carried out with COMSOL was used to analyze the effect of electro-thermo-mechanical coupling stress on top-cooled E-mode AlGaN/GaN HEMT. The results of the experiments and simulation demonstrated that single and coupled stresses, especially mechanical stress coupled with other stresses, degraded the electrical properties or even caused irreversible damage to top-cooled E-mode AlGaN/GaN HEMT. Mechanical stress should be reduced as much as possible in the packaging design, transportation, storage, and application of top-cooled E-mode AlGaN/GaN HEMT. Full article

Electric vehicles and energy storage systems are technologies in the stage of intensive development. One of the innovative ways to use electric cars is the Vehicle to Grid (V2G) concept. V2G charging points are characterized by the ability of bidirectional energy flow while charging EV/BEV (Electric Vehicles/Battery Electric Vehicles). In periods of low energy consumption and the presence of the highest shares of renewable sources, the cleanest electricity is drawn from the grid at the lowest prices and stored in a “mobile warehouse”, which is an electric car. During the reported peaks in electricity demand and the presence of high tariffs, the previously stored energy may be sold back to the distribution network operator. Thanks to this application, the technology determines the highest profitability of the system and assigns EV/BEV the ability to manage electricity flows, while improving the energy balance of the economy. The prospects for the spread of V2G have increased along with the growing requirements for domestic economies, closely related to the significant share of renewable energy sources. The vision of connecting EV/BEV with the power grid creates completely new ways of managing energy and makes it possible to build smart agglomerations in line with the Smartcity idea. Especially since Turkey is one of the countries promoting this idea. The scientific aim of the study is to maximize the aggregator’s profits for V2G by creating a coalition with renewable energy producers and combining the capacities of many EVs and offering their total capacities to the electricity markets. The subject of the research was to obtain extensive knowledge about the vehicle–grid interactions taking place in the Turkish power system. For this purpose, an analysis is conducted to determine the optimal preferred operating points and the amount of regulation proposals that maximize the profit of the EV users while satisfying the constraints of each stochastic parameter. The results show the system benefits from the implementation of the algorithms are significant to optimal bidirectional V2G impacts on distribution systems with high penetration of EVs. The research can find practical applications in assessing the role of electric vehicles and their integration in the vehicle–grid system in power systems. At the same time, pointing to the benefits related to the implementation of such solutions for Turkey and other countries in the field of electromobility, stability of energy systems, and energy independence through the possibility of achieving the desired synergy effect. Full article

We assessed the antioxidant potential of narcissoside from Sambucus nigra flowers (elderflowers) in Parkinson’s disease models in vitro and in vivo. The results showed that narcissoside lessened the 6-hydroxydopamine (6-OHDA)-induced increase in reactive oxygen species (ROS) and apoptosis in SH-SY5Y cells. In the 6-OHDA-exposed Caenorhabditis elegans model, narcissoside reduced degeneration of dopaminergic neurons and ROS generation, and also improved dopamine-related food-sensitive behavior and shortened lifespan. Moreover, NCS increased total glutathione (GSH) by increasing the expression of the catalytic subunit and modifier subunit of γ-glutamylcysteine ligase in cells and nematodes. Treatment with a GSH inhibitor partially abolished the anti-apoptotic ability of narcissoside. Furthermore, narcissoside diminished the 6-OHDA-induced phosphorylation of JNK and p38, while rising activities of ERK and Akt in resisting apoptosis. The antioxidant response element (ARE)-luciferase reporter activity analysis and electromobility gel shift assay showed that narcissoside promotes the transcriptional activity mediated by Nrf2. Finally, we found that narcissoside augmented the expression of miR200a, a translational inhibitor of the Nrf2 repressor protein Keap1. Downregulation of Nrf2 and miR200a by RNAi and anti-miR200a, respectively, reversed the neuroprotective ability of narcissoside. In summary, narcissoside can enhance the miR200a/Nrf2/GSH antioxidant pathway, alleviate 6-OHDA-induced apoptosis, and has the neuroprotective potential. Full article

The prediction of charging point occupancy enables electric vehicle users to better plan their charging processes and thus promotes the acceptance of electromobility. The study uses Adaptive Charging Network data to investigate a public and a workplace site for predicting individual charging station occupancy as well as overall site occupancy. Predicting individual charging point occupancy is formulated as a classification problem, while predicting total occupancy is formulated as a regression problem. The effects of different feature sets on the predictions are investigated, as well as whether a model trained on data of all charging points per site performs better than one trained on the data of a specific charging point. Reviewed studies so far, however, have failed to compare these two approaches to benchmarks, to use more than one algorithm, or to consider more than one site. Therefore, the following supervised machine-learning algorithms were applied for both tasks: linear and logistic regression, k-nearest neighbor, random forest, and XGBoost. Further, the model results are compared to three different naïve approaches which provide a robust benchmark, and the two training approaches were applied to two different sites. By adding features, the prediction quality can be increased considerably, which resulted in some models performing better than the naïve approaches. In general, models trained on data of all charging points of a site perform slightly better on median than models trained on individual charging points. In certain cases, however, individually trained models achieve the best results, while charging points with very low relative charging point occupancy can benefit from a model that has been trained on all data. Full article

Plug-in electric vehicles (PEVs) are rapidly increasing all over the world as electromobility is being promoted to reduce the greenhouse gas (GHG) emissions. PEVs locally produce zero emissions and they are more efficient in contrast to internal combustion engine vehicles. On the other hand, the impact of the uncoordinated charging of PEVs is expected to create new challenges for the established distribution grid. This article initially evaluates the impact of uncoordinated charging on the voltage regulation and transformer loading in the city of Heraklion, Greece. Then, a coordinated charging strategy is proposed to deal with the issue of transformer capacity violation by PEVs. Two cases were considered when the transformer overloading from PEV charging was taken into consideration: (a) keeping the transformer below its nominal capacity limit and (b) keeping the transformer below 90% of its nominal capacity limit. This was achieved by distributing the available capacity (nominal capacity minus the residential loads) of the transformer to the PEV chargers in a way that the aforementioned limits were satisfied. Real-world data of the distribution grid and the hourly power consumption of the city were used to validate the proposed method. Results show that possible transformer capacity violation can be tackled by the proposed coordinated charging, without exceeding the voltage regulation limits. Full article

The transport sector is one of the main barriers to achieving the European Union’s climate protection objectives. Therefore, more and more restrictive legal regulations are being introduced, setting out permissible limits for the emission of toxic substances emitted into the atmosphere, promoted biofuels and electromobility. The manuscript presents a computer tool to model the total energy consumption and carbon dioxide emissions of vehicles with an internal combustion engine of a 2018 Toyota Camry LE. The calculation tool is designed in the OpenModelica environment. Libraries were used for this purpose to build models of vehicles in motion: VehicleInterfaces, EMOTH (E-Mobility Library of OTH Regensburg). The tool developed on the basis of actual driving test data for the selected vehicle provides quantitative models for the instantaneous value of the fuel stream, the model of the instantaneous value of the carbon dioxide emission stream as a function of speed and the torque generated by the engine. In the manuscript, the tests were conducted for selected driving cycles tests: UDDS (EPA Urban Dynamometer Driving Schedule), HWFET (Highway Fuel Economy Driving Schedule), EPA US06 (Environmental Protection Agency; Supplemental Federal Test Procedure (SFTP)), LA-92 (Los Angeles 1992 driving schedule), NEDC (New European Driving Cycle), and WLTP (Worldwide Harmonized Light-Duty Vehicle Test Procedure). Using the developed computer tool, the impact on CO₂ emissions was analyzed in the context of driving tests with four types of fuels: petrol 95, ethanol, methanol, DME (dimethyl ether), CNG (compressed natural gas), and LPG (liquefied petroleum gas). Full article

The article presents the current situation with the implementation of electric cars in Poland against the background of pan-European trends and the current energy sector condition in Poland. The aim of the study was to show the ecological, economic, social, and technical difficulties and controversies related to the use of electric cars in Poland. The authors used statistical analysis and identified the main factors of electromobility development in Poland. Despite the declared electromobility in the Strategy of Responsible Development program, the degree of its implementation is far from the previously established goals. The article analyzes the feasibility of the above plan and indicates the factors inhibiting the development of electromobility in Poland. The strategy and decisions to further implement electric cars cannot be purely political. In justifying the need to promote the use of electric cars in Poland, one should take into account the specificity of the Polish economy, its energy system, the condition of its infrastructure, and real social needs. The authors formulated a hypothesis that the aforementioned program is based on simplistic assumptions and marginalizes or ignores significant barriers to the development of electricity-based transport in Poland. The successful implementation of that program is conditioned by comprehensive and costly activities aimed to transform the whole energy system and introduce an effective system of incentives for the buyers of electric cars. Full article