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This bibliometric analysis delves into the intricate realm of sustainability within the life cycle assessments (LCAs) of electric vehicles (EVs). Our study navigates the vast body of literature to uncover the evolving landscape, emerging trends, and critical research areas concerning the environmental impact of EVs throughout their entire life cycle. By placing a strong emphasis on sustainability, this analysis sheds light on how EVs can significantly contribute to eco-friendly transportation solutions. A systematic search was conducted using the Web of Science database, covering publications from 2001 to 2023. The search strategy used a combination of keywords related to LCA and EVs. The study found a total of 161 publications that met the inclusion criteria. The analysis revealed that the number of publications on LCA of EVs has been increasing steadily over the years, with a sharp rise in the last decade. The study identified the main research themes in the field, including LCA methodology, environmental impacts, energy use, and policy analysis. The analysis also highlighted the research gaps, such as the lack of studies on social impacts and the need for more comprehensive and comparative assessments. The findings of this study provide insights into the current state of research on LCA of EVs and can guide future research in this field.

This bibliometric analysis delves into the intricate realm of sustainability within the life cycle assessments (LCAs) of electric vehicles (EVs). Our study navigates the vast body of literature to uncover the evolving landscape, emerging trends, and critical research areas concerning the environmental impact of EVs throughout their entire life cycle. By placing a strong emphasis on sustainability, this analysis sheds light on how EVs can significantly contribute to eco-friendly transportation solutions. A systematic search was conducted using the Web of Science database, covering publications from 2001 to 2023. The search strategy used a combination of keywords related to LCA and EVs. The study found a total of 161 publications that met the inclusion criteria. The analysis revealed that the number of publications on LCA of EVs has been increasing steadily over the years, with a sharp rise in the last decade. The study identified the main research themes in the field, including LCA methodology, environmental impacts, energy use, and policy analysis. The analysis also highlighted the research gaps, such as the lack of studies on social impacts and the need for more comprehensive and comparative assessments. The findings of this study provide insights into the current state of research on LCA of EVs and can guide future research in this field.

Road transport is one of the main consumers of fossil fuels in the world. At the same time, ICE vehicle emissions form about a quarter of all greenhouse gases in the world. In this regard, the transition to electric vehicles is extremely important. Their operation is more economical and environmentally friendly. The massive shift away from liquid-fuel vehicles will have a significant positive effect on a global scale. At the moment, more than 20 countries of the world have planned the transition to electric vehicles by 2030-2040. They are beginning to be introduced into various areas: personal and public transport, special-purpose vehicles, cargo transportation, etc. At the same time, there are barriers that need to be overcome for the widespread mass transition to electric cars. In particular, the choice of models is limited and their price is high. The technologies for the production and disposal of individual components, such as batteries, remain insufficiently developed. Electric networks are not always ready for additional load. The network of electric filling stations is not sufficiently developed. Russia also supports this global trend and faces restrictions. Various scenarios for the development of electric vehicles have been predicted. Measures of state support for both consumers and manufacturers of electric vehicles are indicated, which are aimed at achieving the indicators of a balanced or accelerated scenario for this market.

Road transport is one of the main consumers of fossil fuels in the world. At the same time, ICE vehicle emissions form about a quarter of all greenhouse gases in the world. In this regard, the transition to electric vehicles is extremely important. Their operation is more economical and environmentally friendly. The massive shift away from liquid-fuel vehicles will have a significant positive effect on a global scale. At the moment, more than 20 countries of the world have planned the transition to electric vehicles by 2030-2040. They are beginning to be introduced into various areas: personal and public transport, special-purpose vehicles, cargo transportation, etc. At the same time, there are barriers that need to be overcome for the widespread mass transition to electric cars. In particular, the choice of models is limited and their price is high. The technologies for the production and disposal of individual components, such as batteries, remain insufficiently developed. Electric networks are not always ready for additional load. The network of electric filling stations is not sufficiently developed. Russia also supports this global trend and faces restrictions. Various scenarios for the development of electric vehicles have been predicted. Measures of state support for both consumers and manufacturers of electric vehicles are indicated, which are aimed at achieving the indicators of a balanced or accelerated scenario for this market.

The number of road vehicles is growing every year. At the same time, the negative impact of cars on the environment is increasing. For many countries, the environmental problem is already coming to the fore and opens up various ways to solve it. One of these ways could be the transition to electric vehicles running on environmentally friendly energy. In many countries, the transition to electric vehicles as an environmentally friendly mode of transport is adopted at the state level, through additional incentive systems and benefits. The spread of electric vehicles in Russia is not very active. One of the reasons is the lack of the necessary infrastructure – charging stations. The purpose of this research is to substantiate the economic efficiency of the construction and operation of an electric filling station (charging station). When performing the calculations, the methods of statistical analysis, the method of calculating the net present value of the project (NPV), the graphical method of presenting the final results of the study were used. Calculations showed that the net present value of the project for the construction and operation of the electric filling station will be 181 952 571 rubles during 9 years of operation with an annual energy consumption of 2 073 600 kWh. This research is of the greatest interest to private and public investors, as it is based on both environmental component and economic efficiency.

The number of road vehicles is growing every year. At the same time, the negative impact of cars on the environment is increasing. For many countries, the environmental problem is already coming to the fore and opens up various ways to solve it. One of these ways could be the transition to electric vehicles running on environmentally friendly energy. In many countries, the transition to electric vehicles as an environmentally friendly mode of transport is adopted at the state level, through additional incentive systems and benefits. The spread of electric vehicles in Russia is not very active. One of the reasons is the lack of the necessary infrastructure – charging stations. The purpose of this research is to substantiate the economic efficiency of the construction and operation of an electric filling station (charging station). When performing the calculations, the methods of statistical analysis, the method of calculating the net present value of the project (NPV), the graphical method of presenting the final results of the study were used. Calculations showed that the net present value of the project for the construction and operation of the electric filling station will be 181 952 571 rubles during 9 years of operation with an annual energy consumption of 2 073 600 kWh. This research is of the greatest interest to private and public investors, as it is based on both environmental component and economic efficiency.

This study investigates the incorporation of swarm robotics into the control mechanism of electric vehicles (EVs), introducing an innovative intelligent control framework that utilizes the concepts of decentralized decision-making. The research entails a methodical inquiry that encompasses the design of system architecture, the creation of a model for swarm robotics, the modeling of electric vehicle drive, the integration of swarm robotics with EV control, the development of algorithms for intelligent control, and the execution of real-world tests. The fleet of electric cars, propelled by a collective of independent robotic entities, displayed remarkable flexibility in adjusting to fluctuating surroundings. Findings demonstrated disparities in operating duration, distance traversed, mean speed, and energy expenditure during several iterations, highlighting the system’s adeptness in promptly reacting to instantaneous inputs. Significantly, the swarm-propelled electric cars successfully attained varied operating durations, showcasing the system’s adaptability in accommodating environmental dynamics. The swarm-driven system demonstrated its navigation effectiveness by effectively covering various distances, highlighting its versatility and extensive coverage capabilities. The system’s ability to effectively balance energy economy and performance is shown by the collective regulation of average velocity. The energy consumption study demonstrated the system’s efficacy in optimizing energy use, with certain experiments showing significant savings. Percentage change studies have yielded valuable insights into the comparative enhancements or difficulties seen in each indicator, so illustrating the influence of decentralized decision-making on operational results. This study is a valuable contribution to the ever-changing field of intelligent transportation systems, providing insight into the immense potential of swarm-driven electric cars to completely transform sustainable and adaptable transportation. The results highlight the remarkable flexibility and optimization skills of swarm robotics in the management of electric vehicles, paving the way for future advancements in the quest for intelligent, energyefficient, and dynamically responsive transportation solutions.

This study investigates the incorporation of swarm robotics into the control mechanism of electric vehicles (EVs), introducing an innovative intelligent control framework that utilizes the concepts of decentralized decision-making. The research entails a methodical inquiry that encompasses the design of system architecture, the creation of a model for swarm robotics, the modeling of electric vehicle drive, the integration of swarm robotics with EV control, the development of algorithms for intelligent control, and the execution of real-world tests. The fleet of electric cars, propelled by a collective of independent robotic entities, displayed remarkable flexibility in adjusting to fluctuating surroundings. Findings demonstrated disparities in operating duration, distance traversed, mean speed, and energy expenditure during several iterations, highlighting the system’s adeptness in promptly reacting to instantaneous inputs. Significantly, the swarm-propelled electric cars successfully attained varied operating durations, showcasing the system’s adaptability in accommodating environmental dynamics. The swarm-driven system demonstrated its navigation effectiveness by effectively covering various distances, highlighting its versatility and extensive coverage capabilities. The system’s ability to effectively balance energy economy and performance is shown by the collective regulation of average velocity. The energy consumption study demonstrated the system’s efficacy in optimizing energy use, with certain experiments showing significant savings. Percentage change studies have yielded valuable insights into the comparative enhancements or difficulties seen in each indicator, so illustrating the influence of decentralized decision-making on operational results. This study is a valuable contribution to the ever-changing field of intelligent transportation systems, providing insight into the immense potential of swarm-driven electric cars to completely transform sustainable and adaptable transportation. The results highlight the remarkable flexibility and optimization skills of swarm robotics in the management of electric vehicles, paving the way for future advancements in the quest for intelligent, energyefficient, and dynamically responsive transportation solutions.